Designand implementation of stochastic computing based massive MIMO detector

XIONG Hai-fei; HE Guang-hui

Chinese

您当前的位置：

首页 >

文章列表页 >

Designand implementation of stochastic computing based massive MIMO detector

更新时间：2026-09-04

- Designand implementation of stochastic computing based massive MIMO detector
- Vol. 37, Issue 7, Pages: 36-41(2020)
- 作者机构：
  
  上海交通大学电子信息与电气工程学院,上海,200240
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2020
- 稿件说明：
移动端阅览
熊海翡, 贺光辉. 基于随机计算的大规模MIMO检测算法研究与硬件实现[J]. 微电子学与计算机, 2020, 37(7): 36-41.

XIONG Hai-fei, HE Guang-hui. Designand implementation of stochastic computing based massive MIMO detector[J]. 2020, 37(7): 36-41.
熊海翡, 贺光辉. 基于随机计算的大规模MIMO检测算法研究与硬件实现[J]. 微电子学与计算机, 2020, 37(7): 36-41. DOI：

XIONG Hai-fei, HE Guang-hui. Designand implementation of stochastic computing based massive MIMO detector[J]. 2020, 37(7): 36-41. DOI：

摘要

为了减少大规模MIMO检测算法的复杂度以适应第五代移动通信系统的要求，本文提出了一种基于随机计算的低复杂度线性检测算法.随机计算把传统二进制数转化为一串01序列，使得复杂的计算电路能通过简单的门逻辑实现，从而大幅度的降低硬件资源消耗.通过采用基于二段分解的随机计算矩阵乘法器，检测算法的计算消耗大大降低.此外，我们通过Vivado HLS实现了基于随机计算的预处理共轭梯度算法.仿真结果表明，该算法在128×8规模的大规模MIMO系统，误比特率为10时，和最优检测性能误差小于0.2 dB；而FPGA结果表示，基于随机计算的检测算法不需要采用任何DSP，同时能节省20.7%的寄存器消耗.

Abstract

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 for 128×8 MIMO systems. While the FPGA results show our algorithm requires no DSP and reduced the cost of flipflops by 20.7%.

关键词

Keywords

references

WU Z, ZHANG C, XUE Y, et al. Efficient architecture for soft-output massive MIMO detection with gauss-seidel method[C]//Proc. IEEE Int. Conf. Circuits Syst. (ISCAS). Canada, Montreal, 2016: 1886-1889.

YIN B, WU M, CAVALLARO J R, et al. VLSI design of largescale soft-output MIMO detection using conjugate gradients[C]//Proc. IEEE Int. Symp. Circuits Syst. (ISCAS). Portugal, Lishbon, 2015: 1498-1501.

BROWN B D, CARD H C. Stochastic neural computation. I. Computational elements[J]. IEEE Transactions on Computers, 2001, 50(9): 891-905.

ANDREWS J G, BUZZI S, CHOI W, et al. What will 5G be?[J]. IEEE Journal on selected areas in communications, 2014, 32(6): 1065-1082. DOI: 1065

秦小波, 大规模MIMO中预处理算法的研究[D].上海: 上海交通大学, 2016.

WU M, YIN B, WANG G, et al. Large scale MIMO detection for 3GPP LTE: Algorithms and FPGA implementations[J]. IEEE J. Sel. Topics Signal Process.2014, 8(5):916-929. DOI: 916

崔超, 贺光辉.一种8×8 MIMO系统的近最优检测算法[J].信息技术, 2019, (3):5-9 DOI: 5

张浩盛, 贺光辉, 李龙, 等.基于HLS实现的小步长电磁暂态仿真系统[J].信息技术, 2017(10):38-42. DOI: 38

CHEN J, HU J, ZHOU J. Hardware and Energy-Efficient Stochastic LU Decomposition Scheme for MIMO Receivers[J]. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2016, 24(4): 391-1401. DOI: 391

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Bad Data Detection Method for Large High Visual Multimedia Network

Research on assembly action recognition based on MSS-YOLO-MPHands fusion architecture

Research on the design of blockchain-based AI-generated content traceability framework

A high-efficiency charge pump for ultra-low voltage boost systems

Simulation on the DC characteristics of double heterojunction p-GaN HEMT with AlN/GaN hybrid buffer layer

Related Author

ZHANG Jie

Related Institution

School of Computer Engineering, Jiangsu University of Technology

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰