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Main Authors: Ma, Yang, Han, Shengqian, Yang, Chenyang
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2503.06875
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author Ma, Yang
Han, Shengqian
Yang, Chenyang
author_facet Ma, Yang
Han, Shengqian
Yang, Chenyang
contents This paper studies distributed resource block (RB) allocation in wideband orthogonal frequency-division multiplexing (OFDM) cell-free systems. We propose a novel distributed sequential algorithm and its two variants, which optimize RB allocation based on the information obtained through over-the-air (OTA) transmissions between access points (APs) and user equipments, enabling local decision updates at each AP. To reduce the overhead of OTA transmission, we further develop a distributed deep learning (DL)-based method to learn the RB allocation policy. Simulation results demonstrate that the proposed distributed algorithms perform close to the centralized algorithm, while the DL-based method outperforms existing baseline methods.
format Preprint
id arxiv_https___arxiv_org_abs_2503_06875
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Distributed Resource Block Allocation for Wideband Cell-free System
Ma, Yang
Han, Shengqian
Yang, Chenyang
Signal Processing
This paper studies distributed resource block (RB) allocation in wideband orthogonal frequency-division multiplexing (OFDM) cell-free systems. We propose a novel distributed sequential algorithm and its two variants, which optimize RB allocation based on the information obtained through over-the-air (OTA) transmissions between access points (APs) and user equipments, enabling local decision updates at each AP. To reduce the overhead of OTA transmission, we further develop a distributed deep learning (DL)-based method to learn the RB allocation policy. Simulation results demonstrate that the proposed distributed algorithms perform close to the centralized algorithm, while the DL-based method outperforms existing baseline methods.
title Distributed Resource Block Allocation for Wideband Cell-free System
topic Signal Processing
url https://arxiv.org/abs/2503.06875