A reconfigurable computing architecture for 5G communication
GUO Yang1,2; LIU Zi-Jun1; YANG Lei1; LI Huan1; WANG Dong-Lin1
发表期刊Journal of Central South University
2019-08
期号0页码:0
摘要

 5G baseband signal processing places greater real-time and reliability requirements on hardware. Based on the architecture of the MaPU, a reconfigurable computing architecture is proposed according to the characteristics of the 5G baseband signal processing. A dedicated instruction set for 5G baseband signal processing is proposed. The corresponding functional units are designed for reuse of hardware resources. A redirected register file is proposed to address latency and power consumption issues in internetwork. A two-dimensional code compression scheme is proposed for cases in which the use ratio of instruction memory is low. The access mode of the data memory is extended. The performance is improved. The power consumption is reduced. The throughput of 5G baseband processing algorithm is one to two orders of magnitude higher than that of the TMS320C6670 with less power consumption. The silicon area evaluated by layout is 5.8 mm2, which is 1/6 of the MaPU’s area. The average power consumption is 0.7 W, which is 1/5 of the MaPU’s.

关键词5g Instruction Set Register File Code Compression Throughput Power Consumption.
WOS记录号WOS:000511959000009
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/24001
专题国家专用集成电路设计工程技术研究中心
通讯作者GUO Yang
作者单位1.Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China
2.University of Chinese Academy of Sciences, Beijing 100049
第一作者单位中国科学院自动化研究所
通讯作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
GUO Yang,LIU Zi-Jun,YANG Lei,et al. A reconfigurable computing architecture for 5G communication[J]. Journal of Central South University,2019(0):0.
APA GUO Yang,LIU Zi-Jun,YANG Lei,LI Huan,&WANG Dong-Lin.(2019).A reconfigurable computing architecture for 5G communication.Journal of Central South University(0),0.
MLA GUO Yang,et al."A reconfigurable computing architecture for 5G communication".Journal of Central South University .0(2019):0.
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