I. Habelalmateen, Mohammed and Audah, Lukman (2024) Massive multiple-input-multiple-output 5g wireless network using multiple objective selforganizing sand cat swarm optimization. In: IEEE INTERNATIONAL CONFERENCE ON INTEGRATED CIRCUITS AND COMMUNICATION SYSTEMS (ICICACS 2024).
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Abstract
The establishment of a fifth-generation (5G) Wireless Network (WN) is a worldwide effective research area. The network of 5G allows significant upgrades with the current system of wireless. While the combination of Massive Multipleinput-Multiple-Output (MIMO) in WN enables one to meet 5G technical network necessities, it can manage various difficulties to enhance performances. In this research, a multiple objective Self-Organizing Sand Cat Swarm Optimization (SOMSCSO) approach is proposed to address multiple objective functions like average user rate, average area rate, the efficiency of energy, and Spectral Efficiency (SE) of 5G WN with Massive MIMO. Then, the fuzzy decision maker is employed for choosing a solution vector to acquire the best compromising outcomes. When compared to the existing approach like Selforganizing Particle Swarm Optimization (SOMPSO), the proposed SOMSCSO approach achieves better performance of 30.451 (Mbps/user), 53.487 (Gbps/km2), 12.547 (Mbits/J), 49.567 (bps/Hz), and 25.89 sec in F1 , F2 , F3 , F4 and computational time respectively
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Faculty of Electrical and Electronic Engineering > FKEE |
| Depositing User: | Mrs. Sabarina Che Mat |
| Date Deposited: | 25 Mar 2025 07:52 |
| Last Modified: | 25 Mar 2025 07:52 |
| URI: | http://eprints.uthm.edu.my/id/eprint/11796 |
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