[3] SHAHAB M B,ABBAS R, SHIRVANIMOGHADDAM M, et al. Grant-free non-orthogonal multiple access for IoT: a survey[J].IEEE Communications Surveys & Tutorials, 2020,22(3):1805-1838. doi:10.1109/COMST.2020.2996032.
[5] BAYESTEH A,YI E,NIKOPOUR H, et al. Blind detection of SCMA for uplink grant-free multiple-access[C]// 2014 the 11th International Symposium on Wireless Communications Systems(ISWCS). Barcelona, Spain:IEEE, 2014: 853-857. doi: 10.1109/ISWCS.2014.6933472.
[6] XIN Rui,NI Zuyao,KUANG Linging,et al. Joint active user and data detection in uplink grant-free NOMA by message-passing algorithm[C]// 2019 the 15th International Wireless Communications & Mobile Computing Conference(IWCMC). Tangier,Morocco:IEEE, 2019:126-130. doi:10.1109/IWCMC.2019.8766685.
[7] BOCKELMANN C, SCHEPKER H F,DEKORSY A. Compressive sensing based multi-user detection for machine-to-machine communication[J]. Transactions on Emerging Telecommunications Technologies, 2013,24(4):389-400. doi:10.1002/ett.2633.
[8] WANG Bichai,DAI Linglong,ZHANG Yuan, et al. Dynamic compressive sensing-based multi-user detection for uplink grantfree NOMA[J]. IEEE Communications Letters, 2016,20(11):2320-2323. doi:10.1109/LCOMM.2016.2602264.
[9] CIRIK A C,MYSORE BALASUBRAMANYA N,LAMPE L. Multi-User detection using ADMM-Based compressive sensing for uplink Grant-Free NOMA[J]. IEEE Wireless Communications Letters, 2018,7(1):46-49. doi:10.1109/LWC.2017.2752165.
[10] PARK S,SEO H,JI H,et al. Joint active user detection and channel estimation for massive machine-type communications[C]//2017 IEEE the 18th International Workshop on Signal Processing Advances in Wireless Communications(SPAWC). Sapporo,Japan:IEEE, 2017:1-5. doi:10.1109/SPAWC.2017.8227673.
[11] LIM G,JI H, SHIM B. Hybrid active user detection for massive machine-type communications in IoT[C]// 2018 International Conference on Information and Communication Technology Convergence(ICTC). Jeju,Korea(South):IEEE, 2018:1049-1052. doi:10.1109/ICTC.2018.8539661.
[12] WANG Bichai,DAI Linglong,MIR T, et al. Joint user activity and data detection based on structured compressive sensing for NOMA[J]. IEEE Communications Letters, 2016,20(7):1473-1476. doi:10.1109/LCOMM.2016.2560180.
[13] KIM W,AHN Y,SHIM B. Deep neural network-based active user detection for grant-free NOMA systems[J]. IEEE Transactions on Communications, 2020,68(4):2143-2155. doi: 10.1109/TCOMM.2020.2969184.
[14] HOSHYAR R,WATHAN F P,TAFAZOLLI R. Novel low-density signature for synchronous CDMA systems over AWGN channel[J].IEEE Transactions on Signal Processing, 2008,56(4):1616-1626. doi:10.1109/TSP.2007.909320.
[15] DO T T,GAN Lu,NGUYEN N,et al. Sparsity adaptive matching pursuit algorithm for practical compressed sensing[C]// 2008 the 42nd Asilomar Conference on Signals, Systems and Computers. Pacific Grove, CA, USA: IEEE, 2008: 581-587. doi: 10.1109/ACSSC.2008.5074472.
[16] WARD R. Compressed sensing with cross validation[J]. IEEE Transactions on Information Theory, 2009,55(12):5773-5782. doi:10.1109/TIT.2009.2032712.