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A Compressive Sensing Assisted Massive SM-VBLAST System: Error Probability and Capacity Analysis
IEEE Transactions on Wireless Communications ( IF 8.9 ) Pub Date : 2020-03-01 , DOI: 10.1109/twc.2019.2960505
Lixia Xiao , Pei Xiao , Zilong Liu , Wenjuan Yu , Harald Haas , Lajos Hanzo

The concept of massive spatial modulation (SM) assisted vertical bell labs space-time (V-BLAST) (SM-VBLAST) system [1] is proposed, where SM symbols (instead of conventional constellation symbols) are mapped onto the VBLAST structure. We show that the proposed SM-VBLAST is a promising massive multiple input multiple output (MIMO) candidate owing to its high throughput and low number of radio frequency (RF) chains used at the transmitter. For the generalized massive SM-VBLAST systems, we first derive both the upper bounds of the average bit error probability (ABEP) and the lower bounds of the ergodic capacity. Then, we develop an efficient error correction mechanism (ECM) assisted compressive sensing (CS) detector whose performance tends to achieve that of the maximum likelihood (ML) detector. Our simulations indicate that the proposed ECM-CS detector is suitable both for massive SM-MIMO based point-to-point and for uplink communications at the cost of a slightly higher complexity than that of the compressive sampling matching pursuit (CoSaMP) based detector in the high SNR region.

中文翻译:

压缩感知辅助大规模 SM-VBLAST 系统:错误概率和容量分析

提出了大规模空间调制(SM)辅助垂直钟形实验室时空(V-BLAST)(SM-VBLAST)系统[1]的概念,其中SM符号(而不是传统的星座符号)被映射到VBLAST结构上。我们表明,所提出的 SM-VBLAST 是一种很有前途的大规模多输入多输出 (MIMO) 候选方案,因为它具有高吞吐量和发射器使用的射频 (RF) 链数量少。对于广义的大规模 SM-VBLAST 系统,我们首先推导出平均误码率 (ABEP) 的上限和遍历容量的下限。然后,我们开发了一种高效的纠错机制 (ECM) 辅助压缩感知 (CS) 检测器,其性能趋于达到最大似然 (ML) 检测器的性能。
更新日期:2020-03-01
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