Energy-Efficient Cell-Free Massive MIMO with Wireless Fronthaul

Fuente: arXiv
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Auteurs principaux: Topal, Ozan Alp, Demir, Özlem Tuğfe, Björnson, Emil, Cavdar, Cicek
Format: Preprint
Publié: 2024
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author Topal, Ozan Alp
Demir, Özlem Tuğfe
Björnson, Emil
Cavdar, Cicek
author_facet Topal, Ozan Alp
Demir, Özlem Tuğfe
Björnson, Emil
Cavdar, Cicek
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2412_02771
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Energy-Efficient Cell-Free Massive MIMO with Wireless Fronthaul
Topal, Ozan Alp
Demir, Özlem Tuğfe
Björnson, Emil
Cavdar, Cicek
Signal Processing
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.
title Energy-Efficient Cell-Free Massive MIMO with Wireless Fronthaul
topic Signal Processing
url https://arxiv.org/abs/2412.02771