Algorithm for Decreasing the Large Peak to Average Power Ratio in Mimo-Ofdm
Yogeshver khandagre1, Sanjeev kumar Gupta2

1Yogeshver khandagre, Research Scholar, Dept. of Electronics & Communication, Rabindranath Tagore University, Bhopal, Madhya Pradesh, India.
2Dr. Sanjeev kumar Gupta, Professor, Dept. of Electronics & Communication, Rabindranath Tagore University, Bhopal, Madhya Pradesh, India.
Manuscript received on March 16, 2020. | Revised Manuscript received on March 24, 2020. | Manuscript published on March 30, 2020. | PP: 2272-2276 | Volume-8 Issue-6, March 2020. | Retrieval Number: E6518018520/2020©BEIESP | DOI: 10.35940/ijrte.E6518.038620

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Abstract: Every personal want to use high speed communication system but bandwidth is limited and users are unlimited in that case some of technologies are use for improving speed. One of the best technology called multiple inputs multiple outputs orthogonal frequency division multiplexing. Which provides very fast communication system but drawback of this technique is large maximum to average power ratio, these reduce efficiency of power amplifier. In this article developed new algorithm, for reduction of large maximum to average power ratio and improve bit or symbol error rate in MIMO-OFDM system. Proposed technique, called filter companding selected mapping algorithm technique (FC-SLM) to reduce PAPR using filtering and companding concept. In this techniques, after modulation of input data are converted into serial to parallel steam, phase mapping of all data from 0 to 360 degrees and perform IFFT operation, calculate PAPR and pass through desire range of filter and select minimum PAPR then perform companding and transmitted through an antenna. This scheme is reduce 2.3 dB PAPR and improve bit or symbol error rate. This is one of the most excellent promising techniques for next generation (5-G) communication system.
Keywords: BER, bit error rate; FC-SLM, filter companding selected mapping; PA , power amplifier; PAPR, Peak(maximum) to average (middle) power ratio.
Scope of the Article: Web Algorithms.