Designand implementation of stochastic computing based massive MIMO detector

To decrease the hardware consumption of massive MIMO systems and satisfy the requirement of the fifth-generation wireless communication system, in this paper a low-complexity linear detection algorithm based on the stochastic computing (SC) is proposed. SC transforms the traditional binary number to a sequence consisting of 0 and 1 so that the complicated computation circuit can be realized by simple gate logic, thus saves hardware cost. By adopting the proposed SC-based matrix multiplier, the hardware cost is reduced significantly. Moreover, we realized the SC-based pre-condition conjugate gradient detection algorithm through Vivado HLS. The software simulation result illustrates that the proposed SC algorithm has only 0.2 dB performance degradation compared with optimal detection at BER=10^-6 for 128×8 MIMO systems. While the FPGA results show our algorithm requires no DSP and reduced the cost of flipflops by 20.7%.