Modified genetic algorithm based power allocation scheme for amplify-and-forward cooperative relay network
Cooperative relay (CR) is a favorable technique to provide better spectral efficiency and enhance the cell coverage area in a cost-effective manner. However, several undesired issues, such as high-power consumption, arise due to use of a high number of relay nodes (RNs) in the network, Moreover, in...
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| Format: | Article |
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Elsevier
2018
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| _version_ | 1796961557698052096 |
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| author | Gachhadar, Anand Hindia, Mhd Nour Qamar, Faizan Siddiqui, M. Hassam Shakil Noordin, Kamarul Ariffin Amiri, Iraj Sadegh |
| author_facet | Gachhadar, Anand Hindia, Mhd Nour Qamar, Faizan Siddiqui, M. Hassam Shakil Noordin, Kamarul Ariffin Amiri, Iraj Sadegh |
| author_sort | Gachhadar, Anand |
| collection | UM |
| description | Cooperative relay (CR) is a favorable technique to provide better spectral efficiency and enhance the cell coverage area in a cost-effective manner. However, several undesired issues, such as high-power consumption, arise due to use of a high number of relay nodes (RNs) in the network, Moreover, in a dynamic environment, full channel state information (CSI) is not always available. Therefore, all RNs need to calculate the abrupt changes in the channel; otherwise, the overhead delay will increase and the RNs will consume higher network power. To address this, an optimized modified genetic algorithm (Modified GA) based scheme is proposed that utilizes probabilistic selection rules and fitness scores. The results are presented in terms of symbol error rate (SER), network capacity, power consumption, and power improvement in order to analyze the performance of the proposed scheme. The results show that the proposed scheme provides better overall performance as compared to conventional optimization approaches. |
| first_indexed | 2024-03-06T05:55:53Z |
| format | Article |
| id | um.eprints-22052 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:55:53Z |
| publishDate | 2018 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | um.eprints-220522019-08-26T02:30:07Z http://eprints.um.edu.my/22052/ Modified genetic algorithm based power allocation scheme for amplify-and-forward cooperative relay network Gachhadar, Anand Hindia, Mhd Nour Qamar, Faizan Siddiqui, M. Hassam Shakil Noordin, Kamarul Ariffin Amiri, Iraj Sadegh Q Science (General) TK Electrical engineering. Electronics Nuclear engineering Cooperative relay (CR) is a favorable technique to provide better spectral efficiency and enhance the cell coverage area in a cost-effective manner. However, several undesired issues, such as high-power consumption, arise due to use of a high number of relay nodes (RNs) in the network, Moreover, in a dynamic environment, full channel state information (CSI) is not always available. Therefore, all RNs need to calculate the abrupt changes in the channel; otherwise, the overhead delay will increase and the RNs will consume higher network power. To address this, an optimized modified genetic algorithm (Modified GA) based scheme is proposed that utilizes probabilistic selection rules and fitness scores. The results are presented in terms of symbol error rate (SER), network capacity, power consumption, and power improvement in order to analyze the performance of the proposed scheme. The results show that the proposed scheme provides better overall performance as compared to conventional optimization approaches. Elsevier 2018 Article PeerReviewed Gachhadar, Anand and Hindia, Mhd Nour and Qamar, Faizan and Siddiqui, M. Hassam Shakil and Noordin, Kamarul Ariffin and Amiri, Iraj Sadegh (2018) Modified genetic algorithm based power allocation scheme for amplify-and-forward cooperative relay network. Computers & Electrical Engineering, 69. pp. 628-641. ISSN 0045-7906, DOI https://doi.org/10.1016/j.compeleceng.2018.04.022 <https://doi.org/10.1016/j.compeleceng.2018.04.022>. https://doi.org/10.1016/j.compeleceng.2018.04.022 doi:10.1016/j.compeleceng.2018.04.022 |
| spellingShingle | Q Science (General) TK Electrical engineering. Electronics Nuclear engineering Gachhadar, Anand Hindia, Mhd Nour Qamar, Faizan Siddiqui, M. Hassam Shakil Noordin, Kamarul Ariffin Amiri, Iraj Sadegh Modified genetic algorithm based power allocation scheme for amplify-and-forward cooperative relay network |
| title | Modified genetic algorithm based power allocation scheme for amplify-and-forward cooperative relay network |
| title_full | Modified genetic algorithm based power allocation scheme for amplify-and-forward cooperative relay network |
| title_fullStr | Modified genetic algorithm based power allocation scheme for amplify-and-forward cooperative relay network |
| title_full_unstemmed | Modified genetic algorithm based power allocation scheme for amplify-and-forward cooperative relay network |
| title_short | Modified genetic algorithm based power allocation scheme for amplify-and-forward cooperative relay network |
| title_sort | modified genetic algorithm based power allocation scheme for amplify and forward cooperative relay network |
| topic | Q Science (General) TK Electrical engineering. Electronics Nuclear engineering |
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