Joint active and passive beamforming optimization for multigroup multicast system aided by intelligent reflecting surface

An intelligent‐reflecting‐surface aided multigroup multicast communication system is investigated in this paper. We develop energy‐efficient designs for both the precoding matrix at the base station and passive reflecting beamforming at intelligent‐reflecting‐surface, subject to the minimum signal‐t...

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Veröffentlicht in:IET communications Jg. 15; H. 4; S. 642 - 652
Hauptverfasser: Wang, Junzhi, Liao, Xiangbai, Liu, Yingzhuang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Stevenage John Wiley & Sons, Inc 01.03.2021
Wiley
Schlagworte:
Algorithms
Beamforming
Communications systems
Complexity
Constraints
Energy efficiency
Multicasting
Optimization
Optimization techniques
Reconfigurable intelligent surfaces
Reflectance
ISSN:1751-8628, 1751-8636
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Zusammenfassung:An intelligent‐reflecting‐surface aided multigroup multicast communication system is investigated in this paper. We develop energy‐efficient designs for both the precoding matrix at the base station and passive reflecting beamforming at intelligent‐reflecting‐surface, subject to the minimum signal‐to‐interference‐plus‐noise ratio constraint of each user and the unit‐modulus constraint imposed by passive intelligent‐reflecting‐surface. This leads to a complex non‐convex problem for which to tackle we propose two novel algorithms based on alternating optimization techniques. Specifically, one algorithm employs semi‐definite relaxation to obtain the suboptimal reflection coefficient vector and suboptimal precoding vector for each group. In order to reduce the computational complexity, the second algorithm transforms this non‐convex problem into two second‐order cone programming problems. Numerical results show that intelligent‐reflecting‐surface can significantly reduce the power consumption of the base station.
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ISSN:1751-8628
1751-8636
DOI:10.1049/cmu2.12095