Energy-Efficient Cell-Free Massive MIMO with Wireless Fronthaul

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 reduces the power consumption by 50% and 84% compared to the benchmarks based on shutting down APs and minimizing only the transmit power, respectively.

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Publication Details

Published
2024-10-27
DOI
https://doi.org/10.1109/ieeeconf60004.2024.10942847
Citations
4
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.83
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article

Energy-Efficient Cell-Free Massive MIMO with Wireless Fronthaul

Özlem Tuğfe Demir, Cicek Cavdar, Emil Björnson, Ozan Alp Topal
4 citations
Advanced MIMO Systems Optimization
0.83
article

Energy-Efficient Cell-Free Massive MIMO with Wireless Fronthaul

Özlem Tuğfe Demir, Cicek Cavdar, Emil Björnson, Ozan Alp Topal
article en
4 citations

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 reduces the power consumption by 50% and 84% compared to the benchmarks based on shutting down APs and minimizing only the transmit power, respectively.

TOBB University of Economics and Technology (TR), KTH Royal Institute of Technology (SE)
Affordable and clean energy
Openalex Percentile: Top 25%
Advanced MIMO Systems Optimization
0.83
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