Energy-Efficient Cell-Free Massive MIMO with Wireless Fronthaul
Ozan Alp Topal, \"Ozlem Tu\u{g}fe Demir, Emil Bj\"ornson, Cicek Cavdar

TL;DR
This paper proposes a joint antenna activation and power allocation scheme for cell-free massive MIMO with wireless fronthaul, significantly reducing power consumption while maintaining quality of service.
Contribution
It introduces a novel algorithm that minimizes end-to-end power consumption by optimizing antenna activation and power allocation under wireless fronthaul constraints.
Findings
Antenna deactivation reduces power by up to 84%.
The method achieves 50% power savings compared to benchmarks.
Wireless fronthaul with optimized control improves energy efficiency.
Abstract
Cell-free massive MIMO improves the fairness among the user equipments (UEs) in the network by distributing many cooperating access points (APs) around the region while connecting them to a centralized cloud-computing unit that coordinates joint transmission/reception. However, the fiber cable deployment for the fronthaul transport network and activating all available antennas at each AP lead to increased deployment cost and power consumption for fronthaul signaling and processing. To overcome these challenges, in this work, we consider wireless fronthaul connections and propose a joint antenna activation and power allocation algorithm to minimize the end-to-end (from radio to cloud) power while satisfying the quality-of-service requirements of the UEs under wireless fronthaul capacity limitations. The results demonstrate that the proposed methodology of deactivating antennas at each AP…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Advanced Wireless Communication Technologies
