Paper Info
Title
Transmitter Design For Large Intelligent Surface-Assisted Mimo Wireless Communication With Statistical Csi
Abstract
Large intelligent surface (LIS) equipped with a great number of nearly passive reflecting elements is an emerging technology to improve the wireless coverage and reduce the energy cost. In this paper, we focus on a downlink LIS-assisted MIMO wireless communication system by exploiting the statistical channel state information at base station. Our paper presents the design of covariance matrix of transmitting signals and diagonal phase-shifting matrix of LIS. Since the optimization problem of these two matrices in this paper is non-convex, we propose an alternating optimization algorithm to deal with this intractable problem. For the fixed diagonal phase-shifting matrix, we first obtain the optimal transmit covariance matrix by maximizing the deterministic equivalent of the achievable ergodic rate in the large-system regime. Then, we obtain a locally optimal diagonal phase-shifting matrix using projected gradient ascent method when the transmit covariance matrix is fixed. Simulation results show that the large-system approximate results are good consistent with the original simulation results. We also see that the proposed algorithm can enhance the performance of LIS-assisted MIMO downlink system obviously.
Year
DOI
Venue
2020
10.1109/ICCWorkshops49005.2020.9145334
2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS)
DocType
ISSN
Citations 
Conference
2164-7038
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Jun Zhang1748.17
Jie Liu270.74
Shaodan Ma366671.25
Chao-kai Wen4129094.18
Shi Jin53744274.70