Int. J. of Wireless and Mobile Computing   »   2016 Vol.10, No.1



Title: FFOAS: antenna selection for MIMO wireless communication system using firefly optimisation algorithm and scheduling


Authors: Nidhi Sindhwani; Manjit Singh


Department of Electronics and Communication Engineering, Amity School of Engineering and Technology, New Delhi, India
Department of Electronics and Communication Engineering, Punjabi University, Patiala, India


Abstract: Multiple Input and Multiple Output (MIMO) wireless communication system have been analysed by 2×2 structure for minimal complexity. This paper employs 4×4 MIMO system with Quasi-Orthogonal Space Time Block Codes (Q-OSTBC) to overcome the complexity and offer high flexibility for antenna selection. Besides, the firefly optimisation algorithm is proposed in this paper for Rayleigh channel optimal range selection that results in bandwidth losses by providing the best fitness value. Subsequently, it receives a lossless signal at the receiver using Long-Term Evolution (LTE) scheduling technique. The experimental result outperforms the existing techniques in terms of time, Bit Error Rate (BER), and Cumulative Distribution Function (CDF). FFOAS based MIMO system efficiently reduces the slope of CDF, BER and time complexity compared to traditional OSTBC and TAS/MRC based MIMO system. The comparative analysis of FFOAS with OSTBC and TAS/MRC shows that the FFOAS offers higher flexibility in the design of transmission systems.


Keywords: MIMO; multiple input and multiple output; wireless communications; Rayleigh channels; quasi-orthogonal space-time block code generation; firefly algorithm; LTE scheduling; long-term evolution; antenna selection; optimisation; optimal range selection; transmission system design; bit error rate; BER; cumulative distribution function; CDF; time complexity.


DOI: 10.1504/IJWMC.2016.075232


Int. J. of Wireless and Mobile Computing, 2016 Vol.10, No.1, pp.48 - 55


Submission date: 28 Apr 2015
Date of acceptance: 16 Jul 2015
Available online: 08 Mar 2016



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