학술논문
A Fairness-Driven Resource Allocation Scheme Based on a Weighted Interference Graph in HetNets
Document Type
Conference
Source
2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) Broadband Multimedia Systems and Broadcasting (BMSB), 2021 IEEE International Symposium on. :1-6 Aug, 2021
Subject
Language
ISSN
2155-5052
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 inter-user fairness. The proposed algorithm, named Weighted Edge-Weighted 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.