Development of Dynamic Channel Coding Strategy for Multi-User MIMO-NOMA 5G Downlink Communication by Concatenation of Coding Method
Abstract
The aim of this work is to develop a dynamic coding strategy for a Multi user MIMO NOMA 5G downlink communication by means of concatenation of coding methods. The ultimate motive behind 5G technology is to deliver data at a ultra-high speed of multi - Gbps rate with extremely low latency, being highly reliable, offering huge network capacity, readily available channels and a much stable user experience accommodating multiple simultaneous users. This in turn demands a highly flexible and an effective channel coding method as it helps out the communication to be almost error free by reducing the bit errors of the transmitted data by saving it from the channel noise and the available interference in the channel. This paper provides an efficient approach based on the concatenation of Polar codes that is suited for a multi user mimo NOMA system that meets the criteria of the 5G standard. To compare the performance of mimo NOMA systems with that of concatenated PDCCH (Physical Downlink Control CHannel) polar codes (Symbol Energy to Noise Ratio) versus BLER (BLock Error Rate) simulations have been performed. The results show that the suggested approach performs better in terms of Sum Rate Capacity versus SNR in multiuser mimo NOMA system.
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Gilbert EN, “Capacity of a burst noise channel”, in Bell Syst. Tech.J., vol. 398, 1960;1253-1266.
Arikan E, “Channel polarization: A method for constructing capacity achieving codes for symmetric binary-input memoryless channels”, Information Theory, in IEEE Transactions, vol. 55, no. 7, 2009;3051–3073.
Arikan E Telatar E, “On the rate of channel polarization”, in ,IEEE International Symposium on Information Theory, 2009;1493–1495.
3GPP TS 38.212 Technical Specification Group Radio Access Network, NR, Multiplexing and Channel Coding, https://www.etsi.org 2017;RTS/TSGR-0138212vg20.
Niu K, Chen K, Lin J, Zhang QT, “Polar codes: Primary concepts and practical decoding algorithms”, in IEEE Communications magazine, vol. 52, no. 7, 2014;192–203.
Vangala H, Viterbo E, Hong Y, “A comparative study of polar code constructions for the AWGN channel”, 2015;arXiv:1501.02473.
Tal I, Vardy A, “How to construct polar codes,” in IEEE Transactions on Information Theory, vol. 59, no. 10, 2013;6562–6582.
Peter Trifonov, “Effificient Design and decoding of polar codes”, in IEEE Transactions on Communications, vol. 60, no. 11, 2012;3221–3227.
He G, Belfifiore JC, Land I, Yang G, Liu X, Chen Y, Li R, Wang J, Ge Y, Zhang R, Tong W, “Beta-expansion: a theoretical framework for fast and recursive construction of polar codes,” in IEEE Global Communications Conference (GLOBECOM), Singapore, 2017;978-1-5090-5019-2.
Condo C, Hashemi SA, Gross WJ, “Effificient bit-channel reliability computation for multi-mode polar code encoders and decoders”, in IEEE International Workshop on Signal Processing Systems (SiPS), 2017;2374-7390.
Afifisiadis O, Balatsoukas-Stimming A, Burg A, “A low-complexity improved successive cancellation decoder for polar codes”, in IEEE Asilomar Conference on Signals, Systems and Computers, 2014;1058-6393.
Tal I, Vardy A, “List decoding of polar codes”, in IEEE Transactions on Information Theory, vol. 61, no. 5, 2015;2213–2226.
B. Li, H. Shen, D. Tse, “An adaptive successive cancellation list decoder for polar codes with cyclic redundancy check”, in IEEE Communications Letters, vol. 16, no. 12, 2012;2044–2047.
Richardson T, Urbanke R, “Modern Coding Theory”, in Cambridge University Press; 2008.
Wang R, Liu R, “A novel puncturing scheme for polar codes”, in IEEE Communications Letters, vol. 18, no. 12, 2014;2081–2084.
Guo J, Qin M, Guillén i Fàbregas A, Siegel PH, “Enhanced Belief Propagation Decoding of Polar Codes through Concatenation”, in IEEE Inter. Symp. Inf. Theory (ISIT), 2014;2987–2991.
DOI: https://doi.org/10.31449/inf.v47i10.5219
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