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) 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 Initiatives 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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