2012/09/18 by Chang‐Woo Lee, Chan‐Byoung Chae, Lee, Changwoo +7 · 1 citation
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Network Optimization #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Information Theory (cs.IT) #Wireless Communication Networks Research
paper · pdf · doi:10.48550/arxiv.1209.4145
openalex publication_date 2012/09/18 · openalex created_date 2022/10/04 · openalex updated_date 2026/07/28
In this paper, we propose network massive multiple- input multiple-output\n(MIMO) systems, where three radio units (RUs) connected via one digital unit\n(DU) support multiple user equipments (UEs) at a cell-boundary through the same\nradio resource, i.e., the same frequency/time band. For precoding designs,\nzero-forcing (ZF) and matched filter (MF) with vector or matrix normalization\nare considered. We also derive the formulae of the lower and upper bounds of\nthe achievable sum rate for each precoding. Based on our analytical results, we\nobserve that vector normalization is better for ZF while matrix normalization\nis better for MF. Given antenna configurations, we also derive the optimal\nswitching point as a function of the number of active users in a network.\nNumerical simulations confirm our analytical\n