Paper Info
Title
Large Intelligent Surface Assisted MIMO Communications.
Abstract
This work focuses on the downlink of a single-cell multi-user (MU) system in which a base station (BS) equipped with $M$ antennas communicates with $K$ single-antenna users through a large intelligent surface (LIS) installed in the line-of-sight (LoS) of the BS. LIS is envisioned to offer unprecedented massive multiple-input multiple-output (MIMO) like gains by utilizing $N$ passive reflecting elements that induce phase shifts on the impinging electromagnetic waves to smartly reconfigure the signal propagation. We study the minimum signal-to-interference-plus-noise ratio (SINR) achieved by the optimal linear precoder (OLP), that maximizes the minimum SINR subject to a given power constraint for any given LIS phase matrix, for the cases where the LoS channel matrix between the BS and the LIS is of rank-one and of full-rank. In the former scenario, the minimum SINR is bounded by a quantity that goes to zero with $K u003e 1$. For the high-rank scenario, we develop accurate deterministic approximations for the parameters of the asymptotically OLP, which are then utilized to optimize the LIS phase matrix. Simulation results show that the LIS-assisted system can offer Massive MIMO like gains with a much fewer number of active antennas, thereby significantly reducing the energy consumption at the BS.
Year
Venue
DocType
2019
arXiv: Information Theory
Journal
Volume
Citations 
PageRank 
abs/1903.08127
1
0.37
References 
Authors
17
5
Name
Order
Citations
PageRank
Qurrat-Ul-Ain Nadeem11327.85
Abla Kammoun220430.92
Anas Chaaban338736.44
Mérouane Debbah48575477.64
Alouini Mohamed-Slim5122611194.14