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R24a.0.3

Contents:

  • Release Notes
  • Install 5G Toolkit
    • System Requirements:
    • Dependent Libraries
    • Install Miniconda
    • Install Jupyter Notebook
    • Install 5G Toolkit
    • Final Confirmation
    • License 5G Toolkit
    • Activate the 5G Toolkit License
    • Installation Tutorial: Video
  • Getting Started
    • Understanding API Documentation
    • Hello World!
      • Import Python Libraries
        • How to import 5G Toolkit Libraries
        • Create Objects for all the Modules
        • Generate Payload bits and Encode them
        • Symbol Mapping the Encoded Bits
        • Pass through AWGN Channel
        • Demapping the Symbols
        • Detect Error in the Blocks
        • Compute Bit and Block Error Rate
        • Constellation Diagrams at the Tx and Rx
        • Link Level Simulation
        • Bit/Block Error Rate Performance
    • Resources and Scripts
  • API Documentation
    • Sequence Generation
      • Primary Synchronization Signal
        • PSS
      • Secondary Synchronization Signal
        • SSS
      • Demodulation Reference Sequence (DMRS)
        • DMRS
      • Positioning Reference Sequence (PRS)
        • PRS
      • Channel State Information Reference Sequence (CSI-RS)
        • CSIRS
      • Sounding Reference Sequence (SRS)
        • SRS
          • SRS.lengthOfSequence
          • SRS.nrOfCyclicShift
          • SRS.nrofSymbols
          • SRS.sequenceId
          • SRS.slotIndex
          • SRS.startPosition
          • SRS.symbolIndices
          • SRS.transmissionComb
      • Pseudo Random (PN) Sequence
        • PNSequence
      • PUCCH Format 0 Sequence
        • PUCCHFormat0Sequence
          • PUCCHFormat0Sequence.controlInfo
          • PUCCHFormat0Sequence.indexPUCCH
          • PUCCHFormat0Sequence.initial_CyclicShift
          • PUCCHFormat0Sequence.m_CS
          • PUCCHFormat0Sequence.nID
          • PUCCHFormat0Sequence.numBatches
          • PUCCHFormat0Sequence.numInterlacedRBs
          • PUCCHFormat0Sequence.numRBs
          • PUCCHFormat0Sequence.numberOfSymb
          • PUCCHFormat0Sequence.pucch_GroupHopping
          • PUCCHFormat0Sequence.seqNumber
          • PUCCHFormat0Sequence.slotNumber
          • PUCCHFormat0Sequence.start_SymbIndex
      • PUCCH Format 1 Sequence
        • PUCCHFormat1Sequence
          • PUCCHFormat1Sequence.indexPUCCH
          • PUCCHFormat1Sequence.initial_CyclicShift
          • PUCCHFormat1Sequence.m_CS
          • PUCCHFormat1Sequence.maxNumPRBs
          • PUCCHFormat1Sequence.nHop
          • PUCCHFormat1Sequence.nID
          • PUCCHFormat1Sequence.numInterlacedRBs
          • PUCCHFormat1Sequence.numRBs
          • PUCCHFormat1Sequence.numberOfSymb
          • PUCCHFormat1Sequence.pucch_GroupHopping
          • PUCCHFormat1Sequence.slotNumber
          • PUCCHFormat1Sequence.start_SymbIndex
      • Low PAPR Sequence Type 1
        • LowPAPRSequenceType1
          • LowPAPRSequenceType1.baseSequenceNumber
          • LowPAPRSequenceType1.cyclicShift
          • LowPAPRSequenceType1.delta
          • LowPAPRSequenceType1.groupNumber
          • LowPAPRSequenceType1.lengthOfSequence
          • LowPAPRSequenceType1.numRBs
      • Low PAPR Sequence Type 2
        • LowPAPRSequenceType2
          • LowPAPRSequenceType2.cinit
          • LowPAPRSequenceType2.delta
          • LowPAPRSequenceType2.groupNumber
          • LowPAPRSequenceType2.groupNumber_Or_cinit
          • LowPAPRSequenceType2.lengthOfSequence
          • LowPAPRSequenceType2.numRBs
      • Primary Synchronization Signal for Sidelink (S-PSS)
        • S_PSS
      • Secondary Synchronization Signal for Sidelink (S-SSS)
        • S_SSS
    • Resource Mapping
      • Synchronization Signal Block (SSB) Grid Generation
        • SSB_Grid
          • SSB_Grid.displayGrid()
          • SSB_Grid.dmrsIndices
          • SSB_Grid.pbchIndices
          • SSB_Grid.pssIndices
          • SSB_Grid.sssIndices
      • Synchronization Signal Block (SSB) Resource Mapping
        • ResourceMapperSSB
      • Physical Downlink Shared Channel-DMRS
        • ResourceMapperDMRSPDSCH
          • ResourceMapperDMRSPDSCH.displayCDMPattern()
          • ResourceMapperDMRSPDSCH.displayResourceGrid()
      • Physical Downlink Shared Channel-PTRS
        • ResourceMapperPTRSPDSCH
      • Physical Downlink Control Channel (PDCCH)
        • ResourceMappingPDCCH
      • Control Resource Set
        • CORESET
          • CORESET.displayCoresetREG_CCE_Mapping()
      • Search Space Set
        • SearchSpaceSet
      • Channel state Information reference signal (CSI-RS)
        • ResourceMapperCSIRS
          • ResourceMapperCSIRS.displayCDMPattern()
          • ResourceMapperCSIRS.displayResourceGrid()
      • Positioning Reference Signal (PRS)
        • ResourceMapperPRS
      • Physical Uplink Control Channel (PUCCH)
        • PUCCH Format-0
          • PUCCH Format 0 Resource Mapping
          • PUCCH Format 0 Resource De-Mapping
        • PUCCH Format-1
          • PUCCH Format-1 Resource Mapping
          • PUCCH Format-1 Resource De-Mapping
          • PUCCH Format-1 Spreading
          • PUCCH Format-1 De-Spreading
        • PUCCH Format-2
        • PUCCH Format-3
        • PUCCH Format-4
      • Sidelink Synchronization Signal Block (SSB) Grid Generation
        • SSSB_Grid
          • SSSB_Grid.displayGrid()
      • Physical Sidelink Control Channel (PSCCH)
        • ResourceMappingPSCCH
    • Physical Channels
      • Physical Downlink Shared Channel (PDSCH)
        • PDSCH Transmitter
          • PDSCH: Upper Physical layer Chain
          • PDSCH: Lower Physical layer Chain
        • PDSCH Receiver
          • PDSCH: Upper Physical layer Chain Decoder
          • PDSCH: Lower Physical layer Chain Decoder
        • PDSCH Components
          • Transport Block Size Computation
          • Transport Block Processing
          • Code Block Segmentation
          • Low Density Parity Check Codes
          • Rate Matching
          • Code Block Concatenation
          • Scrambling: PDSCH
          • Modulation
          • Layer Mapper
          • Physical Downlink Shared Channel-DMRS
      • Physical Downlink Control Channel (PDCCH)
        • PDCCH Transmitter
          • PDCCH
        • PDCCH Receiver
          • PDCCHDecoder
        • PDCCH Components
          • Cyclic Redundency Check
          • RNTI Masking
          • Input Bit Interleaver
          • Polar Coder
          • Rate Matching
          • Scrambling: PDCCH
          • Modulation
      • Physical Broadcast Channel (PBCH)
        • PBCH Transmitter
          • PBCH
        • PBCH Receiver
          • PBCHDecoder
        • PBCH Components
          • Cyclic Redundency Check
          • RNTI Masking
          • Input Bit Interleaver
          • Polar Coder
          • Rate Matching
          • Scrambling: PDCCH
          • Modulation
      • Physical Uplink Shared Channel (PUSCH)
      • Physical Uplink Control Channel (PUCCH)
        • PUCCH Format 0
        • PUCCH Format 1
        • PUCCH Format 2
        • PUCCH Format 3
        • PUCCH Format 4
      • Physical Random Access Channel (PRACH)
      • Physical Sidelink Broadcast Channel (PSBCH)
        • PSBCH Transmitter
          • PSBCH
        • PSBCH Receiver
          • PSBCHDecoder
        • PSBCH Components
          • Cyclic Redundency Check
          • RNTI Masking
          • Input Bit Interleaver
          • Polar Coder
          • Rate Matching
          • Scrambling: PDCCH
          • Modulation
      • Physical Sidelink Control Channel (PSCCH)
        • PSCCH Transmitter
          • PSCCHUpperPhy
          • PSCCHLowerPhy
        • PSCCH Receiver
          • PSCCHUpperPhyDecoder
          • PSCCHLowerPhyDecoder
        • PSCCH Components
          • Cyclic Redundency Check
          • Input Bit Interleaver
          • Polar Coder
          • Rate Matching
          • Scrambling: PDCCH
          • Modulation
    • Payload Generation
      • Master Information Block (MIB)
        • MIB Generation
          • MIBGeneration
        • MIB Extraction
          • MIBExtraction
      • Downlink Control Information (DCI)
        • DCIGeneration
        • DCIExtraction
    • Forward Error Correction
      • Hamming Coder
        • Hamming coder
          • HammingEncoder
        • Hamming Decoder
          • HammingDecoder
        • Hamming Decoder - Sphere Decoding
          • HammingSphereDecoder
        • Hamming Decoder - Syndrome Based Decoding
          • HammingSyndromeDecoder
      • Low Density Parity Check Codes
        • LDPC Encoder
          • LDPCEncoder5G
        • LDPC Decoder
          • LDPCDecoder5G
        • LDPC Codec Subcomponents
          • LDPC Parameters Computation
          • Codeblock Processing: Transmitter
          • Codeblock Processing: Receiver
      • Polar Codes
        • Polar Encoder
          • PolarEncoder5G
        • Polar Decoder
          • PolarDecoder5G
        • Polar Codec Components
          • Code-block Processing: Transmitter
          • Code-block Processing: Receiver
          • Input Bit Interleavers
      • Reed Muller Codes
        • Reed Muller Encoder 5G
          • ReedMullerEncoder5G
        • Reed Muller Decoder 5G
          • ReedMullerDecoder5G
    • Rate matching
      • Rate matching for LDPC
        • Bit Selection for LDPC
          • Bit Selection
          • Bit De-selection
        • Bit Interleaver for LDPC
          • Bit Interleaver
          • Bit De-interleaver
        • RatematchParameters
          • RatematchParameters.baseGraph
          • RatematchParameters.enableLBRM
          • RatematchParameters.k0
          • RatematchParameters.liftingFactor
          • RatematchParameters.modOrder
          • RatematchParameters.numCodeBlocks
          • RatematchParameters.numCodedBits
          • RatematchParameters.numLayers
          • RatematchParameters.rvID
          • RatematchParameters.tbSize
      • Rate matching for Polar coder
        • Sub Block Interleaver for Polar Coder
          • Sub-block Interleaver
          • Sub-block De-interleaver
        • Bit Selection for Polar Coder
          • Bit Selection
          • Bit De-selection
        • Channel Interleaver for Polar Coder
          • Channel Interleaver
          • Channel De-interleaver
    • Interleavers
      • PBCH Interleaver
        • PBCH Interleaver
          • PBCHInterleaver
        • PBCH DeInterleaver
          • PBCHDeInterleaver
      • Input Bit Interleaver
        • Input Bit Interleaver
          • InputBitInterleaver
        • Input Bit DeInterleaver
          • InputBitDeInterleaver
      • Sub Block Interleaver
        • Sub Block Interleaver
          • Subblock_Interleaver
        • Sub Block Interleaver
          • Subblock_DeInterleaver
      • Channel Interleaver
        • Channel Interleaver
          • ChannelInterleaver
        • Channel De-interleaver
          • ChannelDeInterleaver
      • Bit Interleavers
        • Bit Interleaver
          • BitInterleaver
        • Bit Deinterleaver
          • BitDeinterleaver
    • Orthogonal Frequency Division Multiplexing
      • OFDM: Demodulator
        • OFDMDemodulator
      • OFDM: Modulator
        • OFDMModulator
      • Transform Decoding
        • TransformPrecoding
      • Transform Decoding for 5G
        • TransformDecoding5G
      • Transform Precoding
        • TransformPrecoding
      • Transform Precoding for 5G
        • TransformPrecoding5G
    • Channel Processing and Hardware Impairment
      • Apply Channel to Transmitted Signal
        • ApplyChannel
          • ApplyChannel.enableInterTxInterference
          • ApplyChannel.isFrequencyDomain
          • ApplyChannel.memoryConsumptionLevel
      • Add Noise and CFO at Receiver
        • AddNoise
    • Symbol Mapping
      • Mapper
        • Mapper
      • Demapper
        • Demapper
    • Scrambling
      • Scrambler
        • Scrambler
          • Scrambler.Lmax
          • Scrambler.c_init
          • Scrambler.id
          • Scrambler.mu
          • Scrambler.nID
          • Scrambler.purpose
          • Scrambler.q
          • Scrambler.rnti
          • Scrambler.ssbIndex
      • Descrambler
        • DeScrambler
          • DeScrambler.Lmax
          • DeScrambler.c_init
          • DeScrambler.id
          • DeScrambler.mu
          • DeScrambler.nID
          • DeScrambler.purpose
          • DeScrambler.q
          • DeScrambler.rnti
          • DeScrambler.ssbIndex
      • RNTI Masking
        • RNTImasking
          • RNTImasking.rnti
    • Channel Models
      • Antenna Array
        • AntennaArrays
        • Antenna Elements
          • 3GPP_38_901 Antenna Element
          • Hertzian Dipole Antenna Element
          • Linear Dipole Antenna Element
      • Node Mobility
        • NodeMobility
          • NodeMobility.displayRoute()
        • Mobility Models
          • Random-Walk
          • Circular Route
          • Vehicle Drops on HighWays
      • Simulation Layout
        • SimulationLayout
          • SimulationLayout.BSLocations
          • SimulationLayout.ISD
          • SimulationLayout.UELocations
          • SimulationLayout.UEdistibution
          • SimulationLayout.UEheightDistribution
          • SimulationLayout.bsAntennaArray
          • SimulationLayout.bsRoute
          • SimulationLayout.carrierFrequency
          • SimulationLayout.clutterDensity
          • SimulationLayout.clutterHeight
          • SimulationLayout.clutterSize
          • SimulationLayout.correlationDistanceIndoor
          • SimulationLayout.correlationDistanceLoS
          • SimulationLayout.correlationTypeIndoor
          • SimulationLayout.correlationTypeLoS
          • SimulationLayout.enableSpatialConsistencyIndoor
          • SimulationLayout.enableSpatialConsistencyLoS
          • SimulationLayout.force3GPPSpatialConsistencyParameters
          • SimulationLayout.forceLOS
          • SimulationLayout.heightOfBS
          • SimulationLayout.heightOfRoom
          • SimulationLayout.heightOfUE
          • SimulationLayout.indoorUEfraction
          • SimulationLayout.layoutLength
          • SimulationLayout.layoutType
          • SimulationLayout.layoutWidth
          • SimulationLayout.lengthOfIndoorObject
          • SimulationLayout.maxNumberOfFloors
          • SimulationLayout.memoryEfficient
          • SimulationLayout.minNumberOfFloors
          • SimulationLayout.minUEBSDistance
          • SimulationLayout.numOfBS
          • SimulationLayout.numOfSectorsPerSite
          • SimulationLayout.numOfSnapShots
          • SimulationLayout.numOfUE
          • SimulationLayout.radiusForCircularUEDrop
          • SimulationLayout.routeType
          • SimulationLayout.terrain
          • SimulationLayout.ueAntennaArray
          • SimulationLayout.ueDropMethod
          • SimulationLayout.ueRoute
          • SimulationLayout.widthOfIndoorObject
        • BS Layouts
          • Hexagonal Layout
          • Rectangular Layout
        • UE Drops
          • Rectangular Drop
          • Circular Drop
          • Hexagonal Drop
      • Channel Parameter Generator
        • ParameterGenerator
      • Channel Generator
        • ChannelGenerator
    • MIMO Processing
      • Code-Books
        • Type-1 Code-Book
          • TypeICodeBook
          • SearchFree
    • Scheduler
      • PDCCH Scheduler
        • PDCCHScheduler
      • Link Adaptation
        • LinkAdaptation
          • LinkAdaptation.selectMCS()
      • Rank Adaptation
        • RankAdaptation
      • Round Robin Scheduler
        • RoundRobinScheduler
          • RoundRobinScheduler.firstAcrossTime
          • RoundRobinScheduler.numRB
          • RoundRobinScheduler.numSymbol
          • RoundRobinScheduler.numUEscheduledAcrossFreq
          • RoundRobinScheduler.numUEscheduledAcrossTime
    • Cyclic Redundancy Check
      • CRC Encoder
        • CRCEncoder
      • CRC Decoder
        • CRCDecoder
    • Receiver Algorithms
      • Carrier Frequency Offset (CFO) Estimation
        • CarrierFrequencyOffsetEstimation
      • Channel Estimation and Symbol Equalization for PBCH
        • ChannelEstimationAndEqualizationPBCH
      • Channel Estimation and Symbol Equalization for PDCCH
        • ChannelEstimationAndEqualizationPDCCH
      • Channel Estimation and Symbol Equalization for PDSCH
        • ChannelEstimationAndEqualizationPDSCH
      • SSB Parameters Estimation
        • DMRSParameterDetection
      • Time Synchronization and PSS/Cell ID-2 Detection
        • PSSDetection
      • SSS/Cell ID-1 Detection
        • SSSDetection
      • Downlink Channel Estimation using CSI-RS
        • ChannelEstimationCSIRS
      • Uplink Channel Estimation using SRS for Positioning
        • ChannelEstimationSRS
    • Position Estimation
      • Position Estimation
        • PositionEstimation
      • Submodules
        • Time of Arrival (ToA)/Delay Estimation
          • ToAEstimation
          • DFT based Method
          • ESPRIT based ToA Estimation
          • MUSIC based ToA Estimation
        • Direction of Arrival Estimation
          • DoAEstimation
          • DFT based AoA Method
          • ESPRIT based DoA Estimation
          • MUSIC based DoA Estimation
        • Optimization Algorithms
          • Least Squares based Position Estimator for TDoA
          • Gradient Descent based Position Estimator for TDoA
          • Newton Raphson based Position Estimator for TDoA
          • Least Squares based Position Estimator for ToA/mRTT
          • Least Squares based Position Estimator for DoA
          • Gradient Descent based Position Estimator for DoA
          • Least Square based Position Estimator for Hybrid ToA/mRTT and DoA
          • Least Square based Position Estimator for Hybrid TDoA and DoA
    • 5G Configurations
      • Channel state information reference signal (CSI-RS) Configurations
        • CSIConfiguration
      • SSB/PBCH Configurations
        • GenerateValidSSBParameters
      • PDSCH Lower Physical Layer Configurations
        • PDSCHLowerPhyConfiguration
      • PDSCH Upper Physical Layer Configurations
        • PDSCHUpperPhyConfiguration
      • Sounding Reference Signal (SRS) Configurations
        • SRSConfiguration
          • SRSConfiguration.bHop
          • SRSConfiguration.bSRS
          • SRSConfiguration.betaSRS
          • SRSConfiguration.cSRS
          • SRSConfiguration.combOffset
          • SRSConfiguration.enableStartRBHopping
          • SRSConfiguration.freqDomainPosition
          • SRSConfiguration.freqDomainShift
          • SRSConfiguration.freqScalingFactor
          • SRSConfiguration.groupOrSequenceHopping
          • SRSConfiguration.lengthOfSequence
          • SRSConfiguration.nrOfCyclicShift
          • SRSConfiguration.nrofSRS_Ports
          • SRSConfiguration.nrofSymbols
          • SRSConfiguration.offsetInSlots
          • SRSConfiguration.periodicityInSlots
          • SRSConfiguration.purpose
          • SRSConfiguration.repetitionFactor
          • SRSConfiguration.resourceGridSizeinRBs
          • SRSConfiguration.resourceType
          • SRSConfiguration.sequenceId
          • SRSConfiguration.slotIndex
          • SRSConfiguration.startPosition
          • SRSConfiguration.startRBIndex
          • SRSConfiguration.symbolIndices
          • SRSConfiguration.systemFrameNumber
          • SRSConfiguration.transmissionComb
      • SSB/PBCH Configurations
        • SSBConfiguration
      • Time-Frequency 5G-Configurations
        • TimeFrequency5GParameters
          • TimeFrequency5GParameters.getGaurdBand_FR1()
          • TimeFrequency5GParameters.getGaurdBand_FR2()
          • TimeFrequency5GParameters.getNumberRB_FR1()
          • TimeFrequency5GParameters.getNumberRB_FR2()
  • Tutorials
    • Hamming Codes
      • Import Libraries
        • Python Libraries
        • 5G Toolkit Libraries
      • Hamming Codes Parameters
      • Simulation Setup
      • Performance Evaluation: SNR vs BER
      • Performance Evaluation: SNR vs BLER
      • Conclusions
    • Reed Muller Codes in 5G
      • Table of content:
      • Import Libraries
        • Python Libraries
        • 5G Toolkit Libraries
      • Mapper and Demapper Parameters
      • Simulation Parameters
      • Simulation
      • Performance Evaluation
        • Performance Plot: Averaged over 65 datasets of 5000 points each.
    • Polar Codes in 5G
      • Table of content:
      • Import libraries
        • Python Libraries
        • 5G Toolkit libraries
      • Symbol Mapping Configurations
      • Polar Coder Configurations
      • Simulation: AWGN Channel
      • Performance Evaluations
      • Performance Evaluations: Averaging over a 100 dataset of 100 points each
    • Low Density Parity Check (LDPC) Codes in 5G
      • Import Libraries
        • Python LIbraries
        • 5G Toolkit Libraries
      • Symbol Mapping Configurations
      • Simulation: Variation in Reliability with code-rate for fixed block-length
        • LDPC Parameters
        • Simulation Procedure
      • Performance Evaluation: BER vs SNR for different code-rates
      • Simulation: Variation in Reliability with block-length for fixed coderate
      • Performance Evaluation: BER vs SNR for different block lengths
      • Following results are averaged over 100 results
        • BER vs SNR
      • BER vs TB-size
    • Performance comparison of OFDM and DFT-s-OFDM in 5G Networks
      • Import Libraries
        • Import Python Libraries
      • Import 5G-Toolkit Libraries
      • Simulation Parameters
      • Peak to Average Power Ratio (PAPR) Analysis
        • PAPR Analysis: CP-OFDM
        • PAPR Analysis: DFT-s-OFDM
      • PAPR Performance Comparison: CP-OFDM vs DFT-s-OFDM
      • ACLR Analysis: CP-OFDM vs DFT-s-OFDM
      • ACLR Comparison of OFDM and DFT-s-OFDM
      • References
    • Detailed Tutorials on 3GPP Channel Models
      • Wireless Channel Generation for Outdoor Terrains deployed in Hexagonal Geometry
        • Import Libraries
          • Import Python Libraries
          • Import 5G Toolkit Libraries
        • Simulation Parameters
        • Generate Antenna Arrays
        • Generate Simulation Layout
        • Generate Channel Parameters
        • Generate Channel Coefficients
        • Generate OFDM Channel
          • Frequency Domain : Magnitude Response Plot
          • Time Domain Channel response
      • Wireless Channel Generation for a Dense High Indoor Factory Terrain Deployed at millimeter band.
        • Import Libraries
          • Import Python Libraries
          • Import 5G Toolkit Libraries
        • Simulation Parameters
        • Generate Antenna Arrays
        • Generate Simulation Layout
        • Generate Channel Parameters
        • Generate Channel Coefficients
        • Generate OFDM Channel
          • Frequency Domain : Magnitude Response Plot
          • Time Domain Channel response
      • Genarating the Wireless Channel for Indoor Open Office Terrain
        • Import Libraries
          • Import Python Libraries
          • Import 5G Toolkit Libraries
        • Simulation Parameters
        • Generate Antenna Arrays
        • Generate Simulation Layout
        • Generate Channel Parameters
        • Generate Channel Coefficients
        • Generate OFDM Channel
          • Frequency Domain : Magnitude Response Plot
          • Time Domain Channel response
      • Wireless Channel Generation for Outdoor Mobile User Connected to Rural Macro Site
        • Import Libraries
          • Python Libraries
          • 5G Toolkit Libraries
        • Simulation Parameters
        • Antenna Arrays
        • Node Mobility
        • Simulation Layout
        • Channel Parameters, Channel Coefficients and OFDM Channel
        • Variation in Channel Power across Time
        • Animation: Displaying the variation in receiver power of a UE time snapshots
          • Functions to Animate the Plot
          • Simulation Animation
          • Further Study
      • Channel Generation for Dual Mobility Scenarios in 5G and Beyond
        • Import Libraries
          • Import Python Libraries
          • Import 5G Libraries
        • Simulation Parameters
        • Generate Antenna Array
          • Generate Transmit Arrays
          • Generate Receiver Arrays
        • Generate the Routes
          • Generate the BS Routes
          • Generate the UE Routes
        • Simulation Layout
        • Channel Parameters, Channel Coefficients and OFDM Channel
        • Variation in Channel Power across Time
      • Wireless Channel Generation for Multiple Carrier Frequencies
        • Import Libraries
          • Python Libraries
          • 5G Toolkit Libraries
        • Simulation Parameters
        • Generate Antenna Array
        • Node Mobility
        • Generate Simulation Layout
        • Generate Channel Parameters
        • Generate Channel Coefficients
        • Generate OFDM Channel
          • Frequency Domain : Magnitude Response Plot
          • Time Domain Channel response
      • Propagation Characteristics of Outdoor Terrains
        • Simulation Parameters
        • Antenna Arrays
        • Simulation Layout
        • Compute the Rough estimate of the Probability of line of sight
        • Parameter Generator
        • Path-loss Characteristics
          • Distribution of Shadow fading
          • Probability Distribution of Rician K factor
        • Delay Spread Charateristics
        • Angular Spread Characteristics
          • Probability distribution of Azimuth-AoA
          • Probability distribution of Azimuth-AoD
          • Probability distribution of Elevation-AoA
          • Probability distribution of Elevation-AoD
      • Beam Domain and Delay Domain Sparsity in Wireless Channel Models
        • Import Libraries
          • Import Python Libraries
        • Import 5G Toolkit
        • Simulation Parameters
        • Antenna Arrays
          • Antenna Array at Rx
          • Antenna Array at Tx
        • Simulation Layout
        • Channel Parameters, Channel Coefficients and OFDM Channel
        • Demonstrating the Beam Domain Sparsity
        • Demonstrating the Delay Domain Sparsity
      • Generate Spatially Consistent Statistical Channels for Realistic Simulations
        • Import Libraries
          • Import Python Libraries
        • Import 5G Toolkit
        • Simulation Parameters
        • Antenna Arrays
          • Antenna Array at Rx
          • Antenna Array at Tx
        • Node Mobility
        • Simulation Layout
        • Channel Parameters, Channel Coefficients and OFDM Channel
        • Frequency Domain Consistency
          • Amplitude Spectrum: Each subcarrier accross time
          • Amplitude Spectrum: One subcarrier accross time
          • Amplitude Heatmap
          • Phase Spectrum
        • Doppler Domain Sparsity
        • Delay/Time Domain: Sparsity
    • Initial Access in 5G
      • Import Libraries
        • External Libaries
        • 5G Toolkit Modules
      • System Parameters
      • PBCH Information
      • Transmission-side Processing
        • Generate Primary Synchronization Sequence (PSS)
        • Generate Secondary Synchronization Sequence (SSS)
        • Generate Demodulation Reference Sequence (DMRS)
        • Generate the PBCH Payload
      • Constellation Diagram: Tx
        • Construct SSB Grid
        • Mapping SSB to Transmission Grid for ODFM
        • OFDM-Modulator
        • Analog Beamforming
      • Channel Generation
      • Pass Tx signal through Wireless Channel
      • Noise addition at receiver
      • SSB Receiver Side
        • Receiver combining
        • PSS Detection: largest peak
        • Largest peak
        • OFDM Demodulation: Resource Grid reconstruction
        • SSB Extaction from Resource Grid
        • Comparing Transmitted and Received SSB Grid
        • Spectrum Analysis
        • (SSS Detection: PSS channel assisted) + Cell-ID estimation
        • DMRS Parameters Detection + DMRS Sequence Generation
        • Channel Estimation and PBCH Symbol Equalization
      • Constellation Diagram: Rx
        • PBCH Decoding
        • Information Aggregation
      • Performance Evaluations: BER + Cell-IDs + DMRS Parameter Detection
        • Cell-IDs Detection
        • DMRS Parameter Detection
        • BER computation
    • Coverage Evaluation of Physical Broadcast Channels (PBCH) in 5G Networks
      • Import Libraries
        • Import Python Libraries
        • Import 5G Toolkit Libraiers
      • Simulation Parameters
      • Generate the Wireless Channel : CDL-A
      • Set SSB and Time-Frequency OFDM Configurations/Parameters
      • Generate the Synchronization Signal Block (SSB) Grid
      • Generate the Transmission Grid
      • Pass through the Wireless Channel
      • Display the Heatmap for the Received Grid
      • Link level Simulation: BLER for each SNR value
      • Block Error Rate Performance
      • Block Error Rate: Averaged over a 10000 batches
    • Link Level Simulation for Physical Downlink Control Channels
      • Import Libraries
        • Import Basic Python Libraries
      • Import 5G-Toolkit Libraries
      • Simulation Parameters
      • CORESET Parameters
      • Generate Wireless Channel: CDL-A
      • Link level Simulation: For each Aggregation level and Each SNR value
      • Reliability Performance: BER/BLER vs SNR
      • Reliability Performance: BER/BLER vs SNR for 20000 Batches
    • Link Level Simulation for Physical Downlink Shared Channel in 5G
      • Import Python Libraries
      • Import 5G-Toolkit Libraries
      • Simulation Parameters
      • Generate Channel
      • PDSCH Configurations
      • PDSCH Implementation
      • SVD based Precoding and Beamforming
      • Pass through the Wireless Channel
      • Recevier Side Processing
      • Simulation Results
      • Simulation Results: Averaged over 10000 batches
      • Save Results
    • BER Performance of PUCCH Format 0
      • Table of Contents
      • Import Libraries
        • Python Libraries
        • 5G ToolKit Libraries
      • Simulation Parameters
      • Format 0
      • Format 0 Decoder
      • M_CS Estimation
      • Information content based on MCS value
      • Simulation
      • Performance Evaluation
        • Performance Plot
    • SVD based Downlink Precoding and Combining for Massive MIMO 5G Networks
      • Import Python Libraries
        • Import Python Libraries
        • Import 5G-Toolkit Libraries
      • Simulation Parameters
      • Generate Wireless Channel: CDL-A
      • Link level simulation: BLER/BER/Throughput/SE vs SNR for different ranks
      • Simulation Results
      • Simulation Results: Averaged over 10000 batches
    • Type-1 codebook based Downlink Precoding and Combining for Massive MIMO 5G Networks
      • Import Python Libraries
        • Import Python Libraries
        • Import 5G-Toolkit Libraries
      • Simulation Parameters
      • Generate Wireless Channel: CDL-A
      • Link level simulation: BLER/BER/Throughput/SE vs SNR for different ranks
      • Simulation Results
      • Simulation Results: Averaged over 10000 batches
    • P1 Procedure: Beam management in 5G networks using SSB
      • Import librariers
        • Import Python libraries
        • Import 5G Toolkit libraries
      • Simulation Parameters
      • Generate Wireless Channel
      • Generate Time Frequency Parameters and MIB+ATI Parameters
      • Generate OFDM Resource/Transmission Grid
      • Pass through the Wireless Channel
      • Power Heatmap of Received Grid
      • Add Noise
      • RSRP Computation
      • Visualization of All Beam RSRP
      • Selected Base-station and Beam
      • Simulation Topology
    • Downlink Channel Estimation using CSI-RS
      • Import Python Libraries
        • Import Python Libraries
        • Import 5G-Toolkit Libraries
      • Simulation Parameters
      • Generate Channel
      • CSI Configurations
      • Generate CSI-RS Resource Grid
      • Generate the Transmit Grid
      • Transmit Beamforming
      • Pass through the Channel
      • Add noise at Receiver
      • Extract the Resource Grid
      • Estimate the Channel using CSI-RS
        • Display the Estimated channel
      • Estimate the Rank and Condition number
      • SVD of Channel and Condition number
      • Estimate the Precoder: Type-I
    • Search space, CORESET and blind decoding of PDCCH channels in 5G Networks
      • Import Libraries
        • Python Libraries
        • 5G Toolkit Libraries
      • Simulation Parameters
      • CORESET and Search Space Set Parameters
      • Transmitter Side Processing
      • Displaying Resource Grid
      • Wireless Channel : CDL-A
      • Receiver Side Processing and Blind Decoding of UE
    • Downlink Time of Arrival based Positioning in 5G and Beyond Networks
      • Positioning Procedure
      • Table of Content:
        • Import Libraries
      • Python Libraries
      • 5G Toolkit Libraries
        • Simulation Parameters
        • Channel Generation
      • Channel Parameters:
        • Position Reference Signal
        • OFDM Transmitter: Create Transmission Grid
      • Display Transmission Grid
        • Transmit Beamforming
        • Pass the Beamformed Grid Through Wireless Channel
        • Add Noise
        • Extracting the Resource Grid
        • Channel Estimation + Interpolation
      • Display the quality of Channel Estimates
        • ToA Estimation
      • Visualization: Time of Arrival locus Circles
        • Position Estimation + K-Best Measurement Selection (Genie Aided)
          • Measurement Selection:
      • Visualization of Positioning
        • Performance Analysis of Positioning Error for ToA based method
        • Performance Analysis: For 2000 UEs
        • Further Study
    • Downlink TDoA Based Positioning for Industrial IoT Devices in Millimeter Wave 5G Networks
      • Import Libraries
        • Python Libraries
        • 5G Toolkit Libraries
      • Simulation Parameters
      • Channel Generation
        • Channel Parameters:
      • Position Reference Signal
      • OFDM Transmitter: Create Transmission Grid
        • Display Transmission Grid
      • Transmit Beamforming
      • Pass the Beamformed Grid Through Wireless Channel
      • Add Noise
      • Extracting the Resource Grid
      • Channel Estimation + Interpolation
        • Display the quality of Channel Estimates
      • ToA Estimation
        • Visualization: Time of Arrival locus Circles
      • Position Estimation + K-Best Measurement Selection (Genie Aided)
        • Measurement Selection:
        • Visualization of Positioning
      • Performance Analysis of Positioning Error for ToA based method
      • Performance Analysis: For 2000 UEs
      • Further Study
    • Positioning the Outdoor UEs using 5G Urban Micro cell sites based Uplink Time Difference of Arrival (UL-TDoA) method
      • Import Libraries
        • Import Basic Python Libraries
        • Import 5G Toolkit Libraries
      • Simulation Parameters
      • Generate Wireless Channels
      • SRS Configurations
      • Slot by Slot Simulation
      • Position Estimation: Based on UL-ToA
      • Visualization of Estimated Position
      • Performance Analysis of Positioning Error for ToA based method
      • Performance Analysis: For 2000 UEs
    • Positioning the Indoor Open Office UEs using Uplink ToA method
      • Python Libraries
      • 5G Toolkit Libraries
      • Simulation Parameters
      • Generate Wireless Channels
      • SRS Configurations
      • Slot by Slot Simulation
      • Position Estimation: Based on UL-ToA
      • Visualization of Estimated Position
      • Performance Analysis of Positioning Error for Uplink-ToA based method
      • Performance Analysis: For 2000 UEs
    • Uplink AoA (UL-AoA) based Localization of the Indoor Factory UEs using millimeter 5G Networks
      • Python Libraries
      • 5G Toolkit Libraries
      • Simulation Parameters
      • Generate Wireless Channels
      • SRS Configurations
      • Slot by Slot Simulation
      • Position Estimation: Based on UL-ToA
      • Visualization: Direction of Arrival Locus Lines
      • Visualization of Estimated Position and its accuracy
      • Performance Analysis of Positioning Error for UL-AoA method
      • Performance Analysis for UL-AoA method: 1300 UEs
    • Downlink Angle of Departure based Positioning for Rural Macro Terrain in 5G and Beyond Network
      • Positioning Procedure
      • Table of Content:
        • Import Libraries
      • Python Libraries
      • 5G Toolkit Libraries
        • Simulation Parameters
        • Channel Generation
      • Channel Parameters:
        • Position Reference Signal
        • OFDM Transmitter: Create Transmission Grid
        • Compute the Measurement Windows
      • Transmit Beamforming
      • Add Noise
      • Pass the Beamformed Grid Through Wireless Channel
        • RSRP vs beam Index
      • AoD Estimation
        • Position Estimation + K-Best Measurement Selection (Genie Aided)
          • Measurement Selection:
      • Visualization of Positioning
        • Performance Analysis of Positioning Error for ToA based method
        • Performance Analysis for DL-AoD method: 2000 UEs
        • Further Study
  • Projects
    • Learning to Demap: Database Generation, Preprocessing, Postprocessing, Training, Validation and Inferences from the LLRNet
      • Table of Contents
      • Import Libraries
        • Import Python Libraries
        • Import 5G Toolkit Modules
      • Learning to Demap the Symbols
        • Input Output Mapping for M = 4
        • Input Output Mapping for M = 6
        • Input Output Mapping for M = 8
      • Throughput and BER Performance of LLRnet
        • Import Libraries
        • Simulation Parameters
        • PDSCH Parameters
        • LLRnet Parameters
          • Training Framework
          • Deployment Framework
      • Simulation Section
      • Performance Evaluation
        • Throughput vs SNR (dB) for 16-QAM, 64-QAM and, 256-QAM
        • Bit Error rate (BER) vs SNR (dB) for 16-QAM, 64-QAM and, 256-QAM
        • Block Error Rate (BLER) vs SNR (dB) for 16-QAM, 64-QAM and, 256-QAM
      • Performance Evaluation: 10000 batches and 64000 training samples for LLRNet
        • Throughput vs SNR (dB) for 16-QAM, 64-QAM and, 256-QAM.
        • Bit Error rate (BER) vs SNR (dB) for 16-QAM, 64-QAM and, 256-QAM.
        • Block Error rate (BER) vs SNR (dB) for 16-QAM, 64-QAM and, 256-QAM.
        • Complexity Analysis
      • Conclusion
        • Positives of the LLRnet:
        • Limitations of the LLRnet:
      • References:
    • Blockage Probability Analysis for RedCap Devices in 5G Networks
      • Analysis of Blocking Probability for different Coverage Conditions
        • Import Python Libraries
        • Import 5G Toolkit Libraries
        • Simulation Parameters
        • PDCCH Scheduling Parameters
        • PDCCH Scheduling for Good Coverage Scenarios
        • PDCCH Scheduling for Medium Coverage Scenarios
        • PDCCH Scheduling for Extreme Coverage Scenarios
        • Plotting the results
          • References
      • Variation in Blocking Probability with Different Aggregation Levels (ALs)
        • Python Libraries
        • 5G-Toolkit Libraries
        • Simulation Parameters
        • PDCCH Scheduling Parameters
          • Impact of AL 1
          • Impact of AL 2
          • Impact of AL 4
          • Impact of AL 8
          • Impact of AL 16
        • Plot the Variation in Blocking Probability with number of UEs for different Aggregation levels.
        • References
      • Analyzing the effect of Number of Candidates on Blocking Probability
        • Simulation Parameters
        • PDCCH Scheduling Parameters
        • Plot the Variation in Blocking Probability with number of PDCCH candidates
        • References
      • Analyzing the Impact of Scheduling Strategy on Blocking Probability
        • Python Libraries
        • 5G-Toolkit Libraries
        • Simulation Parameters
        • PDCCH Scheduling Parameters
        • Simulation for Scheduling Strategy-I
          • Blocking probability vs number of UEs to be scheduled.
        • Simulation for Scheduling Strategy-II
        • Plotting Blocking Probability vs Number of UEs for Scheduling Strategy
          • References
      • Analyze the Impact of UE Capability on Blocking Probability
        • Python Libraries
        • 5G-Toolkit Libraries
        • Simulation Parameters
        • PDCCH Scheduling Parameters
        • Simulating the Reference Case
          • Plot Blocking Probability for Different CORESET Sizes for Different UEs
        • Simulating Reduced Blind Decoding Case-A
        • Simulating Reduced Blind Decoding Case-B
        • Plot Blocking Probability for Different CORESET Sizes for Different UEs
          • References
      • Selection of minimum CORESET Size for a Given Target Block Probability
        • Python Libraries
        • 5G-Toolkit Libraries
        • Simulation Parameters
        • PDCCH Scheduling Parameters
        • Compute minimum coreset size for numUEs = 5.
        • Compute minimum coreset size for numUEs = 10.
        • Compute minimum coreset size for numUEs = 15.
        • Display Minimum CORESET size required to meet the Target Blocking Probability for different number of UEs.
          • References
    • Artificial Intelligence and Machine Learning (AI-ML) for CSI Compression and Reconstruction in 5G Networks
      • CSI Compression and Reconstruction using CSINet for TDD Massive MIMO 5G Networks
        • Import Libraries
          • Import Python Libraries
          • Import 5G Toolkit Libraries
        • Simulation Parameters
        • Wireless Channel Generation: CDL-A
        • Reconstrunction Performance of CSI-Net
        • PDSCH Parameters
        • PDSCH: Transmitter
        • SVD Based Beamforming: Perfect CSI
        • Pass through Channel
        • Link Level Simulation: SVD based Beamforming using Perfect CSI
        • SVD Based Beamforming: CSI Reconstructed using CSINet
        • Pass through Wireless Channel
        • Link Level Simulation: SVD based Beamforming using Imperfect CSI
      • Performance Evaluations
        • Throughput Evaluations
        • BLER Evaluations
        • References
      • Wireless Channel Dataset Generation for Training the AI based Models
        • Import Python Libraries
          • Import Basic Python LIbraries
          • Import 5G Toolkit Libraries
        • Simulation Parameters
        • Set Channel Parameters and Generate Common Parameters
        • Generate the Wireless Channels Databases and Preprocess it before storage.
        • Aggregate all the Datasets into a single Dataset
        • Display Sparsity of Wireless Channels
      • Training the CSINet
        • Import Libraries
          • Import Python Libraries
        • Important AI-ML Libraries
        • Load Datasets
        • Set Training Parameters
    • Comparative Study of Reed Muller codes, Polar Codes and LDPC codes
    • Link Level Simulations and Lnk budget Analysis for 5G Non Terrestrial Networks
      • Coverage Evaluation of Physical Broadcast Channels (PBCH) in 5G Non-Terrestrial Networks
        • Evaluation Methodology
          • Import Libraries
        • Import Python Libraries
        • Import 5G Libraries
          • Simulation Parameters
          • Generate NTN Channel
          • Generate MIB and PBCH Configurations for NTN
          • PSS, SSS, PBCH, PBCH-DMRS and SSB Generation
          • Transmission OFDM Resource Grid
          • Pass through the Wireless Channel
          • Heatmap of Received Grid
          • Link Level Simulation: PBCH
          • Displaying the Received Noisy Resource Grid
          • Displaying Noisy SSB Grid
          • Performance Evaluations: SNR vs BLER
      • Link Level Simulation for Physical Downlink Control Channels in 5G Non-Terrestrial Networks (NTN)
        • Import Libraries
          • Import Basic Python Libraries
        • Import 5G-Toolkit Libraries
        • Simulation Parameters
        • CORESET Parameters
        • Generate Wireless Channel: NTN-TDL-C
        • Link level Simulation: For each Aggregation level and Each SNR value
        • Reliability Performance: BER/BLER vs SNR
      • Link Level Simulation for Physical Downlink Shared Channel (PDSCH) in 5G Non Terrestrial Networks (NTN)
        • Import Python Libraries
        • Import 5G-Toolkit Libraries
        • Simulation Parameters
        • Generate Channel
        • PDSCH Configurations
        • PDSCH Implementation
        • Pass through the Wireless Channel
        • Recevier Side Processing
        • Simulation Results: Reliability
        • Simulation Results: Throughput
        • Simulation Results: Reliability (Averaged over 32000 batches)
        • Simulation Results: Throughput (Averaged over 32000 batches)
    • Hybrid Automatic repeat Request in 5G and Beyond
    • Constellation Learning in an AWGN Channel
      • PHY layer as AutoEncoder
      • Steps
        • Importing Libraries
        • Parameters of AutoEncoder
        • Training Data
        • Testing Data
        • Normalization Functions
        • Defining AutoEncoder Model
        • Training AutoEncoder
        • Defining Tx, Channel and Rx from Trained AutoEncoder
        • Block Error Rate (BLER) performance
        • Hamming Codes
      • Transmitter
      • BLER plot : comparison of AutoEncoder BLER with base line (n,k) Hamming Code BLER
        • Constellation Learning
      • learned constellation plot
        • References
    • Downlink Synchronization using SSB in 5G systems
    • Uplink Synchronization using PRACH in 5G systems
    • Performance comparison between different Positioning Methods for millimeter wave 5G Networks
      • Import Libraries
        • Import Python Libraries
        • Import 5G Toolkit Libraries
      • Simulation Parameters
      • Generate Wireless Channels
      • SRS Configurations
      • Slot by Slot Simulation
      • Position Estimation: Based on UL-ToA
      • Visualization of Estimated Position
      • Performance Analysis of Positioning Error for ToA based method
      • Positioning Results Averaged over 2000 UEs
  • Integration with Other Tools
    • Integration with SDRs
      • Time/OFDM Symbol Synchronization using PSS in 5G
        • Downlink Time/Frame Synchronization using PSS in 5G Networks
          • Import Libraries
          • Emulation Parameters
          • Generate SSB Parameters
          • Construct Transmission Grid and Generate Time Domain Samples
          • SDR-Setup Configurations
          • Transmission: SDR RF Transmitter
          • Reception: SDR RF Receiver
          • Time Synchronization: Based on PSS Correlation
          • Frame Synchronization: Visualization
          • Saving Running frames
        • [BS Side Implementation]-Downlink Time/Frame Synchronization using PSS in 5G Networks
          • Import Libraries
          • Emulation Parameters
          • Generate SSB Parameters
          • Construct Transmission Grid and Generate Time Domain Samples
          • SDR-Setup Configurations
          • Transmission: SDR RF Transmitter
        • [UE Side Implementation]-Downlink Time/Frame Synchronization using PSS in 5G Networks
          • Import Libraries
          • Emulation Parameters
          • SDR-Setup Configurations
          • Reception: SDR RF Receiver
          • Time Frequency Configurations
          • Time Synchronization: Based on PSS Correlation
      • Downlink Synchronization using SSB in 5G Networks
        • Downlink Synchronization in 5G Networks: SSB
          • Import Libraries
          • Emulation Configurations
          • Transmitter Implementation
          • Generate the SSB Grid for synchronization
          • Constellation Diagram
          • OFDM Modulation: Tx
          • SDR-Setup Configurations
          • Transmission: SDR RF Transmitter
          • Receiver Implementation
          • Reception: SDR RF Receiver
          • Time Synchronization: Based on PSS Correlation
          • OFDM Demodulation and SSB Extraction
          • SSB Grid: Transmitter and Receiver
          • Spectrum: Transmitted Grid and Received Grid
          • Parameter Estimation for SSB and PBCH
          • Channel Estimation and PBCH Symbol Equalization
          • PBCH Decoding and Constellation
          • Performance Verification
      • Downlink Data Communication using PDSCH in 5G Networks
        • Downlink Data Communication in 5G Networks
          • Import Python Libraries
          • 5G Toolkit Libraries
          • Simulation Parameters
          • PDSCH Transmitter Implementation
          • Generate the PDSCH related parameters: Use PDSCH Configurations
          • Generate the PDSCH Resource Grid
          • SSB Transmitter Implementation
          • Generate the SSB Resource Grid
          • SDR-Setup Configurations
          • Transmission: SDR RF Transmitter
          • Receiver Implementation: SSB
          • Reception: SDR RF Receiver
          • Time Synchronization: Based on PSS Correlation
          • PBCH Receiver
          • SSB Grid: Transmitter and Receiver
          • Spectrum: Transmitted Grid and Received Grid
          • PBCH Decoding and Constellation
          • Performance Verification
          • PDSCH Recourse Implementation
          • Extract PDSCH Resource Grid
          • PDSCH Receiver
          • Key Performance Indicators
    • Integration with MATLAB
      • Hamming Codes
        • Import Python Libraries: 5G-Toolkit and NumPy
        • Import Modules for Simulations: Demapper | Mapper | HammingEncoder | HammingDecoder
        • Hamming Code Configurations
        • Payload Generation
        • Hamming Encoder
        • Symbol Mapping
        • Link Level Simulation: SNR vs BLER
        • Performance Evaluation: SNR vs BLER
      • Downlink TDoA Based Positioning in 5G Networks
        • Import Python Libraries
        • Import 5G Toolkit Libraries
        • Simulation Parameters
        • Generate Wireless Channel
          • Generate Antenna Arrays
          • Generate Simulation Layout
          • Generate Channel Parameters | Generate Channels | OFDM Channel
        • Generate Positioning Reference Signal (PRS) and PRS Resource Grid
        • Generate OFDM Grid for Every BS
        • Beamform and Power Allocation
        • Pass through Channel
        • Add Noise
        • Extract Resource Grid
        • Channel Estimation using PRS
        • ToA Estimation
        • Position Estimation
        • Performance Evaluation
  • Learning Resources
    • Introductory Course on 5G Standards
    • Hardware Emulations using 5G Toolkit and SDRs
  • Tentetive list of Feature
    • In Progress (To be Released soon):
    • Next Quarter
    • Before September 2023
    • Before March 2024
  • Research work carried out using 5G Toolkit
  • Challenge Of this Week
    • Solution of this Months Problems
    • Arxiv-ed Challenges
  • License
    • Trademarks
    • Source Code
    • Content
  • Previous Versions
    • R23a
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