Performance Comparison of Optimized Resource Allocation in CoMP LTE-A using Iterative Subgradient Method and PSO

Authors

  • Norshidah Katiran Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor.
  • Noorsaliza Abdullah Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor.
  • Lukman Audah Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor.
  • Shaharil Mohd Shah Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor.
  • Aimi Syamimi Abdul Ghaffar Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor.
  • Faiz Asraf Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor.

Keywords:

Resource Allocation, Optimization, Subgradient Method, PSO,

Abstract

Inter-cell interference (ICI) is a primary factor that limits the capacity of any wireless cellular system. Recently, base stations cooperation (i.e., CoMP LTEAdvanced) is seen as a promising way to reduce ICI through coordination. In CoMP, the allocation of crucial resources such as subcarrier and power should be carefully determined because the resource allocation strategies of cells in CoMP affect each other’s performance. Our previous work proposed an optimized resource allocation (ORA) scheme that maximizes proportional fairness utility subject to user minimum rate requirement and available base station (BS) power constraints. Selecting appropriate tool to solve any optimization problem is very important because different tools may results in different level of complexity, convergence rate and searching capabilities. In this paper, we carry out simulation study to investigate the performance of our ORA scheme by using different optimization tools. The first tool is iterative subgradient method and the second tool is metaheuristics optimization algorithm, namely Particle Swarm Optimization (PSO). Based on numerical results, PSO gives the best performance in terms of mean values, standard deviations and processing time compared to iterative subgradient algorithm.

References

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Published

2017-11-30

How to Cite

Katiran, N., Abdullah, N., Audah, L., Mohd Shah, S., Abdul Ghaffar, A. S., & Asraf, F. (2017). Performance Comparison of Optimized Resource Allocation in CoMP LTE-A using Iterative Subgradient Method and PSO. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(3-7), 37–41. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3073

Issue

Vol. 9 No. 3-7: Intelligent System Modeling and Control

Section

Articles

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