Power Allocation in MIMO of DM system using ANN-PSO
G.Koteswar Rao1, G. Laxminarayana2 

1G.Koteswar Rao, Research Scholar, JNTU Hyderabad, Telangana, India
2Dr.G.Laxminarayana,Principal,Anuraag college of engineering, Hyderabad . Telangana, India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 483-489 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6669068819//19©BEIESP
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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: Multiple-Input-Multiple-Output (MIMO) system has several antennas at both the transmitter and receiver, it is a frequency selective for multipath characteristics. In this , we present different MIMO detection algorithms and compares with proposed Particle Swarm Optimization (PSO) algorithm to estimates BER. This will be minimized by providing the PA scheme at transmitter end and the SINR. Orthogonal Frequency Division Multiplexing (OFDM) is used to get high data rates in wireless communication. Combination of MIMO-OFDM system used for converting the frequency selective channels into a parallel collection of frequency flat sub channels. Due to the environment some noises such as Additive-White-Gaussian-Noise (AWGN) are added in the MIMO-OFDM. This leads to degrades the performance of the MIMO-OFDM system in terms of the Bit Error Rate (BER). MIMO-OFDM system uses Space Time Block Coding (STBC) scheme is used for enhancing the reliability of the system. Here, the power optimized mainly depends on the Particle Swarm Optimization (PSO) based Neural Network (NN) for. PSO optimizes the power by the channel noise and channel distance, it is produced the output in the form of power. After that, the NN provides the optimum power to the MIMO OFDM antennas by considering the optimized power value from the PSO with its respective noise value. The performance of the proposed method is analyzed in terms of bit error rate.
Keyword: MIMO, of DM, STBC, PSO, ANN, Power Allocation, BER, Signal to noise ratio.
Scope of the Article: Multi-Agent Systems.