Evaluation on Energy Efficiency of UE in UL Cell-Free Massive MIMO System With Power Control Methods
Masaaki Ito, Issei Kanno, Takeo Ohseki, Kosuke Yamazaki, Yoji Kishi,, Thomas Choi, Andreas F. Molisch

TL;DR
This paper evaluates a power control algorithm in cell-free massive MIMO systems aimed at maximizing the minimum energy efficiency among user equipments, demonstrating improved fairness and efficiency through simulations.
Contribution
It introduces a polynomial-time algorithm for maximizing minimum energy efficiency in CF mMIMO systems, enhancing fairness among users.
Findings
The proposed algorithm achieves higher minimum EE compared to conventional methods.
Simulation results confirm the effectiveness of the algorithm in improving fairness.
The method provides an optimal solution in polynomial time.
Abstract
Cell-free massive multiple-input multiple-output (CF mMIMO) systems are expected to provide faster and more robust connections to user equipments (UEs) by cooperation of a massive number of distributed access points, and to be one of the key technologies for beyond 5G (B5G). In B5G, energy efficiency (EE) is one of the most important key indicators because various kinds of devices connect to the network and communicate with each other. While previously proposed transmit power control methods in CF mMIMO systems have aimed to maximize spectral efficiency or total EE, we evaluate in this paper a different approach for maximizing the minimum EE among all UEs. We show that this algorithm can provide the optimum solution in polynomial time, and demonstrate with simulations the improved minimum EE compared to conventional methods.
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Network Optimization · Telecommunications and Broadcasting Technologies
