Peak Average Power Ratio Reduction Technique for Better Performance with Multi Input Multi Output
K.Aruna Kumari1, K.Sri Rama Krishna2
1K. Aruna Kumari, Sr. Assistant Professor, Department of Electronics & Communication Engineering, PVP Siddhartha Institute of Technology, Kanuru, Vijayawada (A.P), India.
2Dr. K. Sri Rama Krishna, Professor& HOD, Department of Electronics & Communication Engineering, VR Siddhartha Engineering College, Kanuru, Vijayawada (A.P), India.
Manuscript received on 15 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 06 September 2019 | PP: 199-202 | Volume-8 Issue- 6S, August 2019 | Retrieval Number: F10400886S19/19©BEIESP | DOI: 10.35940/ijeat.F1040.0886S19
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Abstract: In the transmitted signal, the high peak-to-average power ratio (PAPR) is the real disadvantage of multiple input, multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. Among different PAPR reduction techniques, selected mapping (SLM) is a famous strategy that accomplishes good PAPR reduction performance without signal distortion. Likewise, Partial transmit sequence (PTS) is additionally solitary of the successful techniques to decrease the PAPR in OFDM. Though, result an optimal segment issue in PTS system is measured to exist a critical concern. To progress the existing PAPR reduction techniques, we have incorporated ideal SLM and PTS based PAPR reduction strategy in parallel. By utilizing, the OGWO algorithm; the transmit succession was chosen with least PAPR above all communication antennas. The proposed PAPR reduction approach is applied independently on each transmitted antenna, and so the PAPR can be extremely reduced. Moreover, the OGWO optimization based PAPR reduction technique will provide better performance and it was been promoted as an uncomplicated way for PAPR reduction. The proposed approach will be analyzed with various novel PAPR reduction schemes to show the effectiveness.
Keywords: MIMO-OFDM, PAPR Reduction, SLM, PTS, GWO based Opposition.
Scope of the Article: High Performance Computing