Improved Artificial Rabbits Algorithm for Positioning Optimization and Energy Control in RIS Multiuser Wireless Communication Systems

IEEE Internet of Things Journal, Journal Year: 2024, Volume and Issue: 11(11), P. 20605 - 20618

Published: March 5, 2024

An innovative method to raise wireless communication systems' efficiency is use Reconfigurable Intelligent Surface (RIS). Unfortunately, determining the quantity and locations of RIS elements continues be difficult, requiring a clever optimization framework. Concerning practical overlap between related multi-RISs in systems, this paper attempts minimize number RISs while considering average possible data rate technological constraints. In regard, novel Enhanced Artificial Rabbits Algorithm (EARA) developed installed. The EARA inspired by natural survival strategies rabbits, including detour eating random concealment. A more effective exploring search space around best solution so far produced suggested combining an upgraded Collaborative Searching Operator (CSO) arrangement. Also, adaptive time function included increase effect exploitation tactic increasing iterations. simulation results show that highly efficient reaching maximum success producing smallest under various feasible threshold settings. When compared standard Optimizer (ARO), Growth (GO), Ecosystem (AEO), Particle Swarm Optimization (PSO), improved 5.32%, 6.7%, 16.73%, 20.06%, respectively. Furthermore, according data, outperforms AEO, GO, ARO, PSO terms at δ=1.4 6.66%, 45.43%, 99%,

Language: Английский

Urban Flood Depth Prediction and Visualization Based on the XGBoost-SHAP Model

Water Resources Management, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 27, 2024

Language: Английский

Advances in Artificial Rabbits Optimization: A Comprehensive Review

Archives of Computational Methods in Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 7, 2024

Language: Английский