Resource Allocation in Network MIMO using Particle Swarm Optimization

Authors: Norshidah Katiran, Norsheila Fisal, Aimi Syamimi, Abdul Ghaffar

DOI: https://doi.org/10.17605/OSF.IO/XJBC2

Short DOI: https://doi.org/ggkv82

Country: Malaysia

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Abstract: Inter-cell interference (ICI) is a capacity-limiting factor in any wireless cellular system. Recently, base stations coordination (i.e., network MIMO) is considered as a promising way to improve system performance whereby adjacent cells strategize their transmissions such that interference generated to other cells is reduced. One of the major challenges encountered by network MIMO is resource allocation because resource allocation strategy one cell affects the other cells’ performance. This paper proposes a resource allocation algorithm that performs optimal allocation of subcarrier and power allocation in multi-user network MIMO with multi-antenna base stations subject to individual user minimum rate requirement and base station power constraints. The optimization problem is formulated using Lagrange theorem and solved using Particle Swarm Optimization (PSO). Our simulation study shows that the proposed resource allocation algorithm achieves a substantial network throughput gain while ensuring fairness.

Keywords: ICI, Network MIMO, Resource Allocation, Lagrange Theorem, PSO

Paper Id: 25

Published On: 2014-11-01

Published In: Volume 2, Issue 6, November-December 2014

Cite This: Resource Allocation in Network MIMO using Particle Swarm Optimization - Norshidah Katiran, Norsheila Fisal, Aimi Syamimi, Abdul Ghaffar - IJIRMPS Volume 2, Issue 6, November-December 2014. DOI 10.17605/OSF.IO/XJBC2

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