Optimization of LTE signal using genetic algorithm

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dc.contributor.author Pathan, Siraj
dc.contributor.author Syed, Saad Mohammed (14DET122)
dc.contributor.author Azmi, Abdul Basit (16DET78)
dc.contributor.author Inamdar, Sahil (16DET85)
dc.contributor.author Siddiquie, Shahalam (13ET46)
dc.date.accessioned 2021-11-09T06:17:14Z
dc.date.available 2021-11-09T06:17:14Z
dc.date.issued 2020-05
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/3620
dc.description.abstract This paper presents a technique to increase the data throughput in Multiple Input Multiple Output (MIMO) systems. The technique uses a meta-heuristic to optimize the data throughput and to choose the best solution. The optimization is based on Genetic Algorithms (GA), with the objective of finding out the best antenna configuration to achieve the highest data throughput from the variation of the distance between the antenna array elements and the number of antennas. Simulation results show an increase of more than 15% in the data throughput considering 4x4 MIMO channels. MIMO systems; data throughput; genetic algorithms; optimization. en_US
dc.language.iso en en_US
dc.publisher AIKTC en_US
dc.subject Project Report - EXTC en_US
dc.title Optimization of LTE signal using genetic algorithm en_US
dc.type Other en_US


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