Optimization Driven Beam Forming in 2D Linear Array for MIMO Systems
P.N. Jayanthi1, S. Ravishankar2
1P.N. Jayanthi, Research Scholar, Department of Electronics and Communication Engineering, Rashtreeya Vidyaneekethan College of Engineering , Bengaluru (Karnataka), India.
2Dr. S Ravishankar, Professor, Department of Electronics and Communication Engineering, Rashtreeya Vidyaneekethan College of Engineering , Bengaluru (Karnataka), India.
Manuscript received on 05 January 2019 | Revised Manuscript received on 13 January 2019 | Manuscript published on 30 January 2019 | PP: 145-152 | Volume-8 Issue-3, January 2019 | Retrieval Number: C2626018319/19©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: The advancements in the multimedia applications gained the attention of users and are considered as an important technique for wireless networks. Multiple Input Multiple Output (MIMO) systems depend on the wireless channels propagation. This work proposes a technique, named Exponential-Monarch Butterfly Optimization (Exponential-MBO), for initiating beamforming in 2D linear array under a MIMO system. The proposed Exponential-MBO algorithm is responsible for computing the optimal weights for the beamforming in the MIMO systems. At first, the preferred beam pattern attributes for the 2D array in the MIMO system are described using the initial beam patterns. Then, the fitness function of Exponential-MBO is derived to determine the pattern attributes in the required direction using the azimuth and the elevation beam pattern. The proposed Exponential-MBO algorithm determines the optimal weights for generating the patterns for beamforming in the MIMO system. The channel is estimated using the Least Square (LS) channel estimation method along with Quadrature Amplitude Modulation (QAM) multi-carrier modulation. The implementation of the proposed Exponential-MBO is in MATLAB, and its performance is evaluated by varying the channel. The proposed Exponential-MBO shows superior performance in terms of power gain and Bit Error Rate (BER).
Keyword: MIMO-OFDM, Beamforming, Elevation Beam Pattern, Azimuth, QAM-Multi-Carrier.
Scope of the Article: Discrete Optimization