2020/12/27 by Zakir Hussain Shaik, Emil Björnson, Shaik, Zakir Hussain +3 · 2 citations
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Technologies #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Information Theory (cs.IT)
paper · pdf · doi:10.48550/arxiv.2012.13928
openalex publication_date 2020/12/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Cell-free massive multiple-input-multiple-output (mMIMO) is an emerging\ntechnology for beyond 5G with its promising features such as higher spectral\nefficiency and superior spatial diversity as compared to conventional\nmultiple-input-multiple-output (MIMO) technology. The main working principle of\ncell-free mMIMO is that many distributed access points (APs) cooperate\nsimultaneously to serve all the users within the network without creating cell\nboundaries. This paper considers the uplink of a cell-free mMIMO system\nutilizing the radio stripe network architecture with a sequential fronthaul\nbetween the APs. A novel uplink sequential processing algorithm is developed\nwhich is proved to be optimal in both the maximum spectral efficiency (SE) and\nthe minimum mean square error (MSE) sense. A detailed quantitative analysis of\nthe fronthaul requirement or signaling of the proposed algorithm and its\ncomparison with competing sub-optimal algorithms is provided. Key conclusions\nand implications are summarized in the form of corollaries. Based on the\nanalytical and numerical simulation results, we conclude that the proposed\nscheme can greatly reduce the fronthaul signaling, without compromising the\ncommunication performance.\n