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Asian Journal of Research in Social Sciences and Humanities
Year : 2017, Volume : 7, Issue : 3
First page : ( 585) Last page : ( 600)
Online ISSN : 2249-7315.
Article DOI : 10.5958/2249-7315.2017.00193.9

Subcarrier-Link Integration for Optimized Resource Allocation (SLIORA) in Cellular Systems

Saravanan Karthika*, Pushpam Indumathi**

*Department of Electronics Engineering, Madras Institute of Technology, Chennai, Tamilnadu, India. karthikas3689@gmail.com

**Department of Electronics Engineering, Madras Institute of Technology, Chennai, Tamilnadu, India. indu@mitindia.edu

Online published on 23 March, 2017.

Abstract

Orthogonal Frequency Division Multiple Access (OFDMA) is an emerging multiple access technology and it is considered as the key technique for next generation mobile communication systems. In this paper, subcarrier allocation scheme integration with suitable links for OFDMA systems is proposed. This scheme selects the suitable links for data transmission from base station to terminals and groups them by use of Link Grouping Algorithm (LGA). LGA selects the optimal links by based on calculation of channel gains and it uses channel gain as edges. After obtaining the suitable links between Base Station (BSs) and User Equipment (UE), Subcarrier Grouping Algorithm (SGA) is done to selects the best resources which are available in networks to the selected links. Particle Swarm Optimization (PSO) algorithm is a stochastic optimization process used in this method to optimize the subcarrier allocation scheme. In this proposed method, PSO selects the best incorporation of subcarriers and links for the data transmission. Subcarrier-Link Grouping Resource allocation (SLGRA) is an algorithm chooses best integration of subcarriers and links without consideration of any optimization techniques. SLGRA algorithm is combination of SGA and LGA. Proposed algorithm is compared with other methods such as Greedy Subcarrier Allocation (GSA), Low Interference Subcarrier Allocation (LISA) and SLGRA. SLGRA with optimization technique is referred as SLIORA. Improvement of proposed method than the other methods is calculated in terms of percentage in terms of percentage for various scenarios. Simulation results demonstrate that the proposed algorithm performs better in terms of network throughput, Signal to Interference Noise Ratio (SINR) and subcarrier utilization ratio.

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Keywords

LTE, OFDM, OFDMA, Partial Frequency Reuse, Optimization.

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