TY - JOUR
T1 - Placement Optimization for Multi-IRS-Aided Wireless Communications
T2 - An Adaptive Differential Evolution Algorithm
AU - Huang, Pei-Qiu
AU - Zhou, Yu
AU - Wang, Kezhi
AU - Wang, Bing-Chuan
N1 - Funding information: Research funded by National Natural Science Foundation of China (62106287).
PY - 2022/5/1
Y1 - 2022/5/1
N2 - Using intelligent reflecting surfaces (IRSs) is a promising approach to enhance the performance of wireless communication systems. In this paper, 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.
AB - Using intelligent reflecting surfaces (IRSs) is a promising approach to enhance the performance of wireless communication systems. In this paper, 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.
KW - Intelligent reflecting surface
KW - placement optimization
KW - differential evolution
KW - mutation operator
UR - http://www.scopus.com/inward/record.url?scp=85124810059&partnerID=8YFLogxK
U2 - 10.1109/LWC.2022.3151074
DO - 10.1109/LWC.2022.3151074
M3 - Article
SN - 2162-2337
VL - 11
SP - 942
EP - 946
JO - IEEE Wireless Communications Letters
JF - IEEE Wireless Communications Letters
IS - 5
ER -