Paper Info
Title
Weighted Sum-Rate Maximization for Multi-IRS Aided Integrated Terrestrial-Satellite Networks
Abstract
This paper investigates a multiple intelligent reflecting surfaces (IRSs) aided integrated terrestrial-satellite network (ITSN), where the IRSs are deployed to cooperatively assist the low channel gain users in the co-existing transmission system. In such a network, the coordinated beamforming and frame based transmission scheme are considered for the terrestrial network and the satellite network, respectively. We aim at maximizing the weighted sum rate (WSR) of all users by jointly designing the frame based beamforming at the small base stations (SBSs) and the phase shifts at the IRSs, subject to the individual maximum SBS's transmit power constraints and the IRSs' reflection constraints. This non-convex problem is firstly decomposed via fractional programming (FP) technique in the objective function, then transmit beamforming vectors and reflective phase shifts matrix are optimized alternatingly. A block coordinate descent (BCD) method is proposed to obtain the stationary solution. Simulation results verify the effectiveness of the proposed algorithm compared with different benchmark schemes.
Year
DOI
Venue
2021
10.1109/GLOBECOM46510.2021.9685844
2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)
Keywords
DocType
ISSN
Intelligent reflecting surface, integrated terrestrial-satellite network, coordinated beamforming, frame, phase shift, fractional programming
Conference
2334-0983
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Hao Dong101.01
Cunqing Hua2186.70
Lingya Liu3143.28
Wenchao Xu4465.47
R. Tafazolli52969346.10