Agarwal, Bharat ORCID: 0000-0002-4040-8145, Togou, Mohammed Amine ORCID: 0000-0002-8374-910X, Ruffini, Marco ORCID: 0000-0001-6220-0065 and Muntean, Gabriel-Miro ORCID: 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.
Abstract
—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
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
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. |
Publisher: | 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 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Creative Commons: Attribution-Noncommercial 3.0 959kB |
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record