2020/11/10 by Muhammad Umer Farooq, Hien Quoc Ngo, Farooq, Muhammad +3
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Network Optimization #Cooperative Communication and Network Coding #FOS: Electrical engineering #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2011.05076
openalex publication_date 2020/11/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We consider the problem of max-min fairness for uplink cell-free massive\nmultiple-input multiple-output which is a potential technology for beyond 5G\nnetworks. More specifically, we aim to maximize the minimum spectral efficiency\nof all users subject to the per-user power constraint, assuming linear receive\ncombining technique at access points. The considered problem can be further\ndivided into two subproblems: the receiver filter coefficient design and the\npower control problem. While the receiver coefficient design turns out to be a\ngeneralized eigenvalue problem, and thus, admits a closed-form solution, the\npower control problem is numerically troublesome. To solve the power control\nproblem, existing approaches rely on geometric programming (GP) which is not\nsuitable for large-scale systems. To overcome the high-complexity issue of the\nGP method, we first reformulate the power control problem intro a convex\nprogram, and then apply a smoothing technique in combination with an\naccelerated projected gradient method to solve it. The simulation results\ndemonstrate that the proposed solution can achieve almost the same objective\nbut in much lesser time than the existing GP-based method.\n