Rakotomanana, Edenalisoa and Gagnon, François.
2016.
« Optimum biasing for cell load balancing under QoS and interference management in HetNets ».
IEEE Access, vol. 4.
pp. 5196-5208.
Compte des citations dans Scopus : 20.
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Gagnon F. 2016 13832 Optimum Biasing for Cell Load.pdf - Published Version Use licence: All rights reserved to copyright holder. Download (7MB) | Preview |
Abstract
In this paper, we consider a network in which lower power nodes (LPNs) are deployed jointly within macrocells. However, there are significant differences between the transmit power levels, coverage areas, and deployment densities of these two types of base stations. Such disparities lead to an unfair load distribution, as well as a lower throughput for picocells'users equipments (UEs). A good solution to such issues is the exploitation of the cell range expansion (CRE) technique. Although CRE has widely proven its effectiveness, it may degrade the network capacity if the cell bias is not chosen properly. In fact, it may generate severe intercell interference at extended region cell (ERC) UEs, which leads to a deterioration of their throughput. We thus propose a downlink coordinated cell range expansion for mobility management (CCREMM) strategy that analytically computes the joint optimal bias at picocells and macrocells. CCREMM mitigates the interference at ERC-UEs by accounting for their maximum tolerable interference. Moreover, CCREMM reaches the load balancing and the UE QoS satisfaction by accounting for additional parameters. It will be proven that our strategy which is associated with the maximum throughput scheduling technique, results in a cell load-balancing improvement, fairness, and a 50-90% UE throughput enhancement. These performance figures are shown to surpass those achieved by alternative approaches proposed in the existing literature.
Item Type: | Peer reviewed article published in a journal |
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Professor: | Professor Gagnon, François |
Affiliation: | Génie électrique |
Date Deposited: | 24 Oct 2016 14:59 |
Last Modified: | 25 Apr 2017 13:11 |
URI: | https://espace2.etsmtl.ca/id/eprint/13832 |
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