Joint detection and decoding algorithm based on partial response and SCMA

doi:10.7523/j.issn.2095-6134.2020.05.010

Abstract

Abstract: Sparse code multiple access (SCMA) is a new type of non-orthogonal multiple access technology with overload communication. In the high signal to noise ratio(E_b/N₀)scenario, based on the message passing (MPA) decoding algorithm, the bit error rate performance is not ideal. Therefore, a joint modulation and decoding model based on partial response and sparse code division multiple access is proposed. The scheme inherits the low complexity of SCMA at the decoding end and the high fault tolerance of partial response. In order to further reduce the bit error rate of the joint decoding, the Viterbi decoding of the partial response is cascaded into the MPA iterative decoding process, that is, the variable node performs a Viterbi decoding during each iteration, to form a new joint decoding module. The theoretical and simulation results show that the improved joint coding and decoding model effectively reduces the system’s demand for E_b/N₀ and maintains a low bit error rate.

Key words: sparse code multiple access, message passing algorithm, partial response, joint detection and decoding

CLC Number:

TN929

LIU Meng, LIU Wei, ZHOU Zhigang. Joint detection and decoding algorithm based on partial response and SCMA[J]. , 2020, 37(5): 657-662.

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