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.
Full text not available from this repository.Abstract
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.
| Item Type: | Article |
|---|---|
| Funders: | EPSRC grant EP/P028764/1 (UM IF035A-2017), University of Malaya (UM) grant: BKP special grant number BKS012-2017 |
| Uncontrolled Keywords: | Cooperative relaying; Amplify and forward; Power optimization; Genetic algorithm; Symbol error rate |
| Subjects: | Q Science > Q Science (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 26 Aug 2019 02:30 |
| Last Modified: | 26 Aug 2019 02:30 |
| URI: | http://eprints.um.edu.my/id/eprint/22052 |
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