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Mitigating the impact of cross-tier interference on quality in heterogeneous cellular networks

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) Mitigating the impact of cross-tier interference on quality in heterogeneous cellular networks. In: 2020 IEEE 45th Conference on Local Computer Networks (LCN), 16-19 Nov 2020, Sydney, Australia.

Abstract
—Recently, the use of heterogeneous small-cell networks to offload traffic from existing cellular systems has attracted considerable attention. One of the significant challenges in heterogeneous networks (HetNet) is cross-tier interference, which becomes significant when macro-cell users (MUE) are in the vicinity of femtocell base stations (FBS). Indeed, the femtocell will cause significant interference to MUEs on the macrocell downlink (DL) while MUEs will induce hefty interference to the femtocell on the macrocell uplink (UL). Substantial work has focused on offloading and interference mitigation in HetNets; yet, none of them has considered the impact of cross-tier interference on quality of service (QoS), quality of experience (QoE). This paper proposes the Quality Efficient Femtocell Offloading Scheme (QEFOS) that selects the users most affected by the interference encountered and offloads them to nearby FBSs. QEFOS testing shows substantial improvements in terms of QoS and QoE perceived by users in heavy cross-tier interference scenarios in comparison with alternative approaches. In particular QEFOS’s impact on throughput, packet loss ratio (PLR), peak-to-signalnoise ratio (PSNR), and structural similarity identity matrix (SSIM) was assessed.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Offloading; femtocell; macrocell; QoS; QoE; PSNR; SSIM
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: 2020 IEEE 45th Conference on Local Computer Networks (LCN). . IEEE.
Publisher:IEEE
Official URL:https://doi.org/10.1109/LCN48667.2020.9314834
Copyright Information:© 2021 IEEE
Funders:Science Foundation Ireland Centre for Research Training in Digitally-Enhanced Reality (D-REAL) under Grant No. 18/CRT/6224., Science Foundation Ireland (SFI) support via the research grants 16/SP/3804 (Enable) and 12/RC/2289 P2 (Insight)
ID Code:28022
Deposited On:18 Jan 2023 09:56 by Bharat Agarwal . Last Modified 03 Mar 2023 15:37
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