2019/11/26 by Trinh Van Chien, Emil Björnson, Van Chien, Trinh +3
Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Network Optimization #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1911.11375
openalex publication_date 2019/11/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
A large-scale distributed antenna system that serves the users by coherent\njoint transmission is called Cell-free Massive MIMO (multiple input multiple\noutput). For a given user set, only a subset of the access points (APs) is\nlikely needed to satisfy the users' performance demands. To find a flexible and\nenergy-efficient implementation, we minimize the total power consumption at the\nAPs in the downlink, considering both the hardware and transmit powers, where\nAPs can be turned off. Even though this is a non-convex optimization problem, a\nglobally optimal solution is obtained by solving a mixed-integer second-order\ncone program. We also propose a low-complexity algorithm that exploits\ngroup-sparsity in the problem formulation. Numerical results manifest that our\noptimization framework can greatly reduce the power consumption compared to\nkeeping all APs turned on and only minimizing the transmit powers.\n