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A fairness-driven resource allocation scheme based on weighted interference graph in HetNets

Agarwal, Bharat orcid logoORCID: 0000-0002-4040-8145, Togou, Mohammed Amine orcid logoORCID: 0000-0002-8374-910X, Ruffini, Marco orcid logoORCID: 0000-0001-6220-0065 and Muntean, Gabriel-Miro orcid logoORCID: 0000-0002-9332-4770 (2021) A fairness-driven resource allocation scheme based on weighted interference graph in HetNets. In: 2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 4-6 Aug 2021, Chengdu, China.

—One of the most important 5G features is their support for heterogeneous networks (HetNets). Complementing the classic macrocell base stations (MBS), femtocell base stations (FBS) are beneficial in terms of extensive coverage, including indoor, and enhancement of capacity. Unfortunately, FBSs performance in 5G HetNets is affected by complex cross-tier and co-tier interferences, causing reduced quality of service (QoS) and unfairness among users. This paper proposes an innovative resource allocation (RA) algorithm for interference mitigation (IM) based on graph coloring techniques to improve QoS and interuser fairness. The proposed algorithm, named Weighted EdgeWeighted Vertex Interference Mitigation (WEWVIM), employs a weight to the directed edge corresponding to the interference strength from nearby base stations (BSs) and a weight to every vertex, indicating the color with the smallest interference or higher transmission rate. A region of interest (ROI) is formed to find the interfering BSs. Simulation results show that WEWVIM outperforms existing schemes in terms of fairness and QoS, including throughput, packet loss ratio (PLR), delay, and jitter. Index Terms—HetNets, Graph Coloring, Interference Mitigation, 5G, QoS, Resource Allocation
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:HetNets; Graph Coloring; Interference Mitigation; 5G; QoS; Resource Allocation
Subjects:Engineering > Electronic engineering
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Institutes and Centres > INSIGHT Centre for Data Analytics
Published in: 2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). . IEEE.
Official URL:https://doi.org/10.1109/BMSB53066.2021.9547096
Copyright Information:© 2021 IEEE
Funders:Science Foundation Ireland (SFI) via grants 18/CRT/6224 (SFI Centre for Research Training in Digitally-Enhanced Reality D-REAL), 16/SP/3804 (Enable) and 12/RC/2289_P2 (Insight)
ID Code:28024
Deposited On:20 Jan 2023 14:44 by Bharat Agarwal . Last Modified 20 Jan 2023 14:44

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