High Throughput and Low Complexity Implementation for Uplink Scheme of 5G Technology

Abstract

In order to increase the efficiency of utilizing transmission bandwidth on 5G technology, a non-orthogonal multiple access (NOMA) scheme is emerging on this research topic to support multiple users for uplink transmission. In this paper, we present an Uplink Sparse code multiple access (SCMA) system based on the euclidean distance between received constellation points and the reference constellation points set and the biding relationship of resources. Low-density Parity-check (LDPC) decoding is used for channel coding in our system. In order to speed up processing latency, a 2-level piplined decoder is proposed. Firstly, we have designed and simulated for 6 users-Uplink SCMA system using MATLAB code, then we have implemented the system using Xilinx Generator. The results show that the system not only ensures BER requirements but also significantly reduces hardware resources and increases transmission throughput compared to the reference system.