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Performance Enhancement in MIMO-OFDMA System
Archana B1, T P Surekha2

1Archana B*, Assistant Professor, Department of Electronics and Communication Engineering, GSSS Institute of Engineering & Technology for Women, Mysore, India.
2T P Surekha*, Professor, Department of Electronics and Communication Engineering, Vidyavardhaka College of Engineering, Mysore, India

Manuscript received on November 13, 2019. | Revised Manuscript received on 25 November, 2019. | Manuscript published on December 10, 2019. | PP: 160-165 | Volume-9 Issue-2, December 2019. | Retrieval Number: A5269119119/2019©BEIESP | DOI: 10.35940/ijitee.A5269.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The systematic advancement in wireless communication has provided many significant aspects towards communication domain. However, obtaining the high-speed data transmission is still a biggest concern in various multimedia-based applications. Multiple Input Multiple Output – Orthogonal Frequency Division Multiplexing Access (MIMO-OFDMA) based communication is widespread towards research area. In addition, the combination of MIMO-OFDMA with the steering antenna can lead to improved communication efficiency and offer diversity gain without changing radio frequency (RF). This paper introduces systems for power allocation and resource allocation by A) low complex compressive channel approximation (CSCE) and b) combined parallel cancelation and Viterbi encoding / decoding (PCVed). The outcome of compressive sensing based system brings reduced Bit Error Rate (BER) and less computational complexity while the performance analysis PCVed with different approaches for 4×4 transmitter and receiver. 
Keywords: Parallel Cancellation, BER, Complexity, Convolution Encoder
Scope of the Article: Parallel Computing