基于副本对称性的压缩感知多用户检测性能逼近

Yalei Ji, C. Bockelmann, A. Dekorsy
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引用次数: 1

摘要

压缩感知多用户检测(CS-MUD)是最近发展起来的一种物理层技术[1],用于支持下一代移动通信(5G)中的海量机器通信(MMC)[2],[3]。CS-MUD已经在介质访问控制(MAC)和物理层协议的联合设计中进行了研究[4],[5],但由于缺乏分析性能描述,使得联合设计变得繁琐。为了考虑更大的参数空间扩展MAC层和物理层联合协议设计,并获得跨层优化的见解,我们提出了CS-MUD的性能抽象,以避免大量的数值模拟。在这项工作中,我们利用一种低复杂性的方法,通过大型系统分析中的复制对称性来近似CS-MUD的性能[6]。
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Performance Approximation of Compressive Sensing Multi-User Detection via Replica Symmetry
Compressive Sensing Multi-User Detection (CS-MUD) is a recently developed physical (PHY) layer technique [1] to support Massive Machine Communication (MMC) in the next generation of mobile communication (5G) [2], [3]. CS-MUD has been investigated in joint Medium Access Control (MAC) and PHY layer protocol design [4], [5] but the lack of analytical performance description makes the joint design cumbersome. To expand the joint MAC- and PHY-layer protocol design considering a larger parameter space and to gain insights in the cross-layer optimization, we present a performance abstraction for CS-MUD to avoid extensive numerical simulation. Within this work, we exploit a low-complexity approach to approximate the performance of CS-MUD through the Replica Symmetry in large system analysis [6].
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