共 11 条
Double-Active-IRS Aided Wireless Communication: Deployment Optimization and Capacity Scaling
被引:14
作者:
Kang, Zhenyu
[1
]
You, Changsheng
[2
]
Zhang, Rui
[1
,3
]
机构:
[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117583, Singapore
[2] Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China
[3] Chinese Univ Hong Kong Shenzhen, Shenzhen Res Inst Big Data, Sch Sci & Engn, Shenzhen 518172, Guangdong, Peoples R China
基金:
中国国家自然科学基金;
关键词:
Wireless communication;
Reflection;
Array signal processing;
Signal to noise ratio;
Resource management;
Optimization;
Azimuth;
Intelligent reflecting surface (IRS);
active IRS;
double IRS;
capacity scaling order;
D O I:
10.1109/LWC.2023.3294258
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
In this letter, we consider a double-active-intelligent reflecting surface (IRS) aided wireless communication system, where two active IRSs assist the communication from a base station (BS) to multiple users via double-reflection links. Under the assumption of fixed per-element amplification power for each active-IRS element, we formulate a rate maximization problem subject to practical constraints on the reflection design, elements allocation, and placement of active IRSs. To solve this non-convex problem, we first obtain the optimal active-IRS reflections and BS beamforming, based on which we then jointly optimize the active-IRS elements allocation and placement by using the alternating optimization (AO) method. Moreover, we show that given the fixed per-element amplification power, the received signal-to-noise ratio (SNR) at the user increases asymptotically with the square of the number of reflecting elements; while given the fixed number of reflecting elements, the SNR does not increase with the per-element amplification power when it is asymptotically large. Finally, numerical results validate the proposed algorithm and compare the rate performance to benchmark systems.
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页码:1821 / 1825
页数:5
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