{"title":"Performance Approximation of Compressive Sensing Multi-User Detection via Replica Symmetry","authors":"Yalei Ji, C. Bockelmann, A. Dekorsy","doi":"10.1109/VTCFall.2017.8287960","DOIUrl":null,"url":null,"abstract":"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].","PeriodicalId":375803,"journal":{"name":"2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VTCFall.2017.8287960","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
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].