Efficacy of Channel Estimation and Efficient use of Spectrum using Optimised Cyclic Prefix (CP) in MIMO-OFDM
Shovon Nandi1, Narendra Nath Pathak2, Arnab Nandi3

1Shovon Nandi*, Department of Electronics and Communication Engineering,  University of Technology, Kolkata, India.
2Narendra Nath Pathak, Department of Electronics and Communication Engineering, Dr. B. C. Roy Engineering College, Durgapur, India.
3Arnab Nandi, Department of Electronics and Communication Engineering, National Institute of Technology, Silchar, India
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 3032-3038 | Volume-9 Issue-2, December, 2019. | Retrieval Number:  B4093129219/2019©BEIESP | DOI: 10.35940/ijeat.B4093.129219
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Abstract: The performance of MIMO-OFDM network gets affected due to problems in the channel estimation which is essential for designing receivers. The issues in MIMO are due to sizable inadequate Cyclic Prefix (CP) in admired Orthogonal frequency division multiplexing (OFDM), a massive amount of detection error and channel estimation problem occurs due to which performance delay turn out. This paper proposes a solution, its implementation and analysis of results. The article uses the BAT and Modified Flower Pollination (MFP) algorithm for optimizing the CP length. Minimum CP length gets considered to achieve better throughput for the same MFP algorithm. This algorithm has been proposed to optimize CP length to achieve minimum error rate of bit (BER) and PAPR-Peak to average power ratio, thereby maximizing the spectrum efficiency. For comparing the efficacy of optimized CP and unoptimized CP, the paper examines the results obtained on studying the performance in the spectrum. The performance of BAT and MFP algorithm are compared with each other to determine the better optimization methodology for the problem.
Keywords: BAT Algorithm, Bit Error Rate (BER), Cyclic Prefix (CP), MIMO-OFDM, Modified Flower Pollination Algorithm (MFPA), PAPR