Placement Optimization for Multi-IRS-Aided Wireless Communications: An Adaptive Differential Evolution Algorithm

Using intelligent reflecting surfaces (IRSs) is a promising approach to enhance the performance of wireless communication systems. In this letter, the placement optimization of multi-IRSs is investigated in multi-IRS-aided wireless communication systems, with the aim of minimizing the number of IRSs...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE wireless communications letters Ročník 11; číslo 5; s. 942 - 946
Hlavní autoři: Huang, Pei-Qiu, Zhou, Yu, Wang, Kezhi, Wang, Bing-Chuan
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 01.05.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Adaptive algorithms
Algorithms
Array signal processing
Communication systems
differential evolution
Evolutionary algorithms
Evolutionary computation
Intelligent reflecting surface
Mutation
mutation operator
Optimization
Placement
placement optimization
Sociology
Statistics
Time division multiple access
Wireless communication
Wireless communication systems
Wireless communications
ISSN:2162-2337, 2162-2345
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Using intelligent reflecting surfaces (IRSs) is a promising approach to enhance the performance of wireless communication systems. In this letter, the placement optimization of multi-IRSs is investigated in multi-IRS-aided wireless communication systems, with the aim of minimizing the number of IRSs subject to the average achievable data rate. Then, an adaptive differential evolution algorithm is developed to jointly optimize the number, locations, and phase shift coefficients of IRSs, in which a novel strategy is devised to adaptively select the mutation operator for each individual. Compared with other algorithms, the proposed algorithm performs well in reducing the number of IRSs while satisfying the average achievable data rate.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2022.3151074