Optimization of LTE signal using genetic algorithm
| 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.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.identifier.uri | http://localhost:8080/xmlui/handle/123456789/3620 | |
| 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 |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- 14DET122.pdf
- Size:
- 997.43 KB
- Format:
- Adobe Portable Document Format
- Description:
- Black Book
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: