.png){kind=icon}
返回
Improved Artificial Rabbits Algorithm for Positioning Optimization and Energy Control in RIS Multiuser Wireless Communication Systems
.png){kind=icon}
PRE
AI
DOI：10.1109/JIOT.2024.3373563.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
An innovative method to raise wireless communication systems' efficiency is to use Reconfigurable Intelligent Surface (RIS). Unfortunately, determining the quantity and locations of the RIS elements continues to be difficult, requiring a clever optimization framework. Concerning the practical overlap between the related multi-RISs in wireless communication systems, this article attempts to minimize the number of RISs while considering the average possible data rate and technological constraints. In this regard, a novel enhanced artificial rabbits algorithm (EARA) is developed to minimize the number of RISs to be installed. The novel EARA is inspired by the natural survival strategies of rabbits, including detour eating and random concealment. A more effective method of exploring the search space around the best solution so far is produced by the suggested EARA by combining an upgraded collaborative searching operator (CSO) arrangement. Also, an adaptive time function is included to increase the effect of this exploitation tactic by the increasing number of iterations. The simulation results show that the suggested EARA is highly efficient in reaching the maximum success rate of producing the smallest number of RISs under various feasible rate threshold settings. When EARA is compared to standard artificial rabbits optimizer (ARO), growth optimizer (GO), artificial ecosystem optimizer (AEO), and particle swarm optimization (PSO), the average number of RISs is improved by 5.32%, 6.7%, 16.73%, and 20.06%, respectively. Furthermore, according to simulation data, the EARA outperforms AEO, GO, ARO, and PSO in terms of success rate at delta = 1.4 by 6.66%, 6.66%, 45.43%, and 99%, respectively.
Keyword:
Reconfigurable intelligent surfaces
Optimization
Rabbits
Internet of Things
Array signal processing
Signal to noise ratio
Reflection coefficient
Achievable rate limitation
artificial rabbits algorithm
reconfigurable intelligent surfaces
wireless communication
期刊
IF:
8.9
论文数:
1.4W
被引数:
7.8W
机构
引用论文
Studies on Intra‐Supramolecular and Intermolecular Electron‐Transfer Processes between Zinc Naphthalocyanine and Imidazole‐Appended Fullerene.png)
ChemPhysChem
ChemPhysChemIF0
PREAI
分享收藏Near-Field RSS-Based Localization Algorithms Using Reconfigurable Intelligent Surface基于可重构智能表面的近场RSS定位算法IEEE SENSORS JOURNAL
IEEE SENSORS JOURNALIF4.5
PREAI
分享收藏分享收藏On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds在通往6g的道路上: 愿景、需求、关键技术和测试平台
OAAI
OAAI分享收藏Secure Multigroup Multicast Communication Systems via Intelligent Reflecting Surface通过智能反射面的安全多组多播通信系统CHINA COMMUNICATIONSOAAI
CHINA COMMUNICATIONSIF3.1
OAAI分享收藏A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems6g无线系统的愿景: 应用，趋势，技术和开放研究问题IEEE NETWORK
OAAI
IEEE NETWORKIF6.3
OAAI分享收藏
查看更多内容