Paper Info
Title
Optimum Biasing for Cell Load Balancing Under QoS and Interference Management in HetNets.
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.
Year
DOI
Venue
2016
10.1109/ACCESS.2016.2607702
IEEE ACCESS
Keywords
Field
DocType
HetNets,load balancing,resource allocation,QoS,mobility management
Load management,Base station,Transmitter power output,Load balancing (computing),Computer science,Computer network,Maximum throughput scheduling,Interference (wave propagation),Throughput,Telecommunications link,Distributed computing
Journal
Volume
ISSN
Citations 
4
2169-3536
0
PageRank 
References 
Authors
0.34
18
2
Name
Order
Citations
PageRank
Edenalisoa Rakotomanana100.34
Francois Gagnon213133.07