Resource Unit Allocation in Coordinated OFDMA Multi-User Wi-Fi Systems

The scheduling of resource units (RUs) in a multi-AP coordination network is considered vital for high spectrum efficiency and effective interference mitigation in future Wi-Fi Networks. In this paper, we propose a RU allocation scheme to maximize the long-term average network throughput of STAs in a multi-AP coordinated Wi-Fi network within a joint coordinated orthogonal frequency-division multiple access (C-OFDMA) and coordinated special reuse (CSR) framework. The proposed scheme ensures that the average rates satisfy the STAs’ quality of service (QoS) requirements and the interference in the overlapping basic service sets (OBSSs) is efficiently managed. The original RU allocation problem is formulated as binary integer programming, which is an NP hard. To address this, a heuristic graph coloring model is introduced for RU allocation in OBSSs, where the Sharing-AP allocates RUs with weighted max-min (WMM)-based graph coloring to overlapping STAs while simultaneously assigning RUs to its own STAs within the same frequency band using the WMM algorithm. Simulation results demonstrate that the proposed RU scheduling algorithm enhances overall mean network throughput by 30%. The simplicity and low computational complexity of the proposed algorithm confirm its effectiveness and practicality for implementation.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2025-04-09
DOI
https://doi.org/10.1109/lwc.2025.3559229
Citations
3
Primary Topic
Advanced Wireless Network Optimization
Type
article
Field-Weighted Citation Impact
2.19

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article

Resource Unit Allocation in Coordinated OFDMA Multi-User Wi-Fi Systems

Mahboubeh Irannezhad Parizi, Mostafa Rahmani, Frank Scahill, Kanapathippillai Cumanan
3 citations
IEEE Wireless Communications Letters
Advanced Wireless Network Optimization
2.19
article

Resource Unit Allocation in Coordinated OFDMA Multi-User Wi-Fi Systems

Mahboubeh Irannezhad Parizi, Mostafa Rahmani, Frank Scahill, Kanapathippillai Cumanan
article en
3 citations

Abstract

The scheduling of resource units (RUs) in a multi-AP coordination network is considered vital for high spectrum efficiency and effective interference mitigation in future Wi-Fi Networks. In this paper, we propose a RU allocation scheme to maximize the long-term average network throughput of STAs in a multi-AP coordinated Wi-Fi network within a joint coordinated orthogonal frequency-division multiple access (C-OFDMA) and coordinated special reuse (CSR) framework. The proposed scheme ensures that the average rates satisfy the STAs’ quality of service (QoS) requirements and the interference in the overlapping basic service sets (OBSSs) is efficiently managed. The original RU allocation problem is formulated as binary integer programming, which is an NP hard. To address this, a heuristic graph coloring model is introduced for RU allocation in OBSSs, where the Sharing-AP allocates RUs with weighted max-min (WMM)-based graph coloring to overlapping STAs while simultaneously assigning RUs to its own STAs within the same frequency band using the WMM algorithm. Simulation results demonstrate that the proposed RU scheduling algorithm enhances overall mean network throughput by 30%. The simplicity and low computational complexity of the proposed algorithm confirm its effectiveness and practicality for implementation.

IEEE Wireless Communications LettersVol. 14(6)
BT Group (United Kingdom) (GB), University of York (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 13%
Advanced Wireless Network Optimization
2.19
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