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Optimal transmit antenna selection using hybrid algorithm for massive MIMO technology
Authors:Charanjeet Singh  Parasuram Chandrasekaran Kishoreraja
Affiliation:Department of Electronics and Communication Engineering, SRM University, Delhi-NCR Sonipat, Haryana, India
Abstract:Massive multiple input multiple output (M-MIMO) methods make reference to a useful method for using multipath propagation to communicate and receive multiple data signals at once over a single radio channel. To simultaneously transfer numerous data streams, it makes use of various antennas. The quantity of power used grows as the quantity of antennas rises. As a result, choosing the best transmit antennas, which is a major difficulty in M-MIMO systems, becomes important. In this research, “Hybrid Sea Lion-Whale Algorithm (HS-WA)” is introduced by choosing a best transmit antenna while taking into account several objectives. This method optimizes overall capacity and efficiency. The chosen method combines the “Whale Optimization Algorithm (WOA) and Sea Lion Optimization Algorithm (SLnO)” that determines which antenna should be chosen while also optimizing the antenna quantity. Finally, energy efficiency (EE) and capacity analysis results demonstrate that the provided approach is superior to all other models.
Keywords:antenna selection  energy efficiency  HS-WA algorithm  MIMO  SLnO algorithm
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