Paper Info
Title
A Distributed Implementation Of Mobility Load Balancing With Power Control And Cell Reselection In 4g Network
Abstract
We consider a self-organizing network (SON) capability of mobility load balancing in a 4G network, which determines the transmission power level for individual base stations and cell reselection for individual mobile stations such that the network-wide load is minimized while satisfying the minimum signal-to-noise and interference ratio (SINR) requirement of individual users. Both centralized and distributed schemes are proposed. The centralized scheme is based on the greedy algorithm, serving as a performance bound to the distributed scheme. The distributed scheme is to solve the system-wide optimization problem in the flat network model, i.e. no central control node. Furthermore, it requires relatively low inter-cell exchange information among neighboring cells over an inter-cell channel, e.g. X2 interface in the LTE network. The proposed design objective is to minimize the number of mobile users that do not satisfy the specified average throughput, while distributing the user traffic load as uniformly as possible among the neighboring cells. Our simulation results for a uniform user distribution demonstrate that the proposed scheme can achieve up to almost 80% of a load balancing gain that has been achieved by a greedy algorithm in the centralized optimization. Copyright (c) 2014 John Wiley & Sons, Ltd.
Year
DOI
Venue
2014
10.1002/nem.1860
INTERNATIONAL JOURNAL OF NETWORK MANAGEMENT
Field
DocType
Volume
Base station,Load balancing (computing),Computer science,Power control,Flat network,Communication channel,Computer network,Greedy algorithm,Throughput,Optimization problem,Distributed computing
Journal
24
Issue
ISSN
Citations 
5
1055-7148
0
PageRank 
References 
Authors
0.34
9
2
Name
Order
Citations
PageRank
Hye J. Kang1424.78
Chung Gu Kang230742.25