A distributed load balancing algorithm for LTE/LTE-A heterogeneous networks

In this paper, we propose a distributed load balancing algorithm with adaptive bias adjustment for LTE/LTE-A HetNets. We have formulated the problem as a local sum utility maximization. The distributed algorithm is capable of fairly distributing the load among base stations with a minimum level of c...

Full description

Saved in:
Bibliographic Details
Published in2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) pp. 380 - 385
Main Authors Castro-Hernandez, Diego, Paranjape, Raman
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2015
Subjects
Adaptive range extension
Bandwidth
Base stations
HetNets
Indexes
Interference
Load balancing
Load management
LTE
LTE-A
Macrocell networks
Optimization
Online AccessGet full text

Cover

More Information
Summary:In this paper, we propose a distributed load balancing algorithm with adaptive bias adjustment for LTE/LTE-A HetNets. We have formulated the problem as a local sum utility maximization. The distributed algorithm is capable of fairly distributing the load among base stations with a minimum level of coordination. The performance of the algorithm was evaluated with a network topology subject to the conditions of a real HetNet deployment, in an urban environment, and applying a realistic traffic distribution during a period of peak usage. Our simulation results show that 350% higher data rate can be achieved for users with the worst 5% rates, and an overall average data rate gain of 23% can be obtained. Furthermore, the load balancing algorithm applied in combination with our adaptive bias adjustment method, provides an additional average gain of 50% in the rates for the 25 th percentile.
DOI:10.1109/WCNCW.2015.7122585