Transmission Design for Hybrid RIS and DMA Assisted MIMO Multiple-Access Channel Over Spatially Correlated Rician Fading

To harness the benefits of both reconfigurable intelligent surface (RIS) and dynamic metasurface antenna (DMA), we consider the hybrid RIS and DMA assisted multiple-input multiple-output (MIMO) multiple-access channel (MAC) over spatially correlated Rician fading, in which multiple multi-antenna use...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on communications 2024-05, Vol.72 (5), p.3005-3018
Main Authors: Zhang, Jun, Huang, Xiaojun, Han, Yu, Xu, Kaizhe, Jin, Shi, Ma, Shaodan
Format: Article
Language:English
Subjects:
Algorithms
Antennas
Codes
Constraints
Covariance matrices
Covariance matrix
dynamic metasurface antenna
Ergodic processes
Fading
Matrix theory
Metamaterials
Metasurfaces
MIMO communication
Modular units
Multiple access
multiple-access channel
Phase shift
Power consumption
Reconfigurable intelligent surface
Reconfigurable intelligent surfaces
Rician channels
statistical CSI
Transmission line matrix methods
Wireless communication
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:To harness the benefits of both reconfigurable intelligent surface (RIS) and dynamic metasurface antenna (DMA), we consider the hybrid RIS and DMA assisted multiple-input multiple-output (MIMO) multiple-access channel (MAC) over spatially correlated Rician fading, in which multiple multi-antenna users send the transmitted signals to the DMA-based base station (BS) with the assistance of a RIS. The objective is to maximize the achievable ergodic sum-rate by jointly designing the transmit covariance matrix of users, the phase shift matrix of RIS, and the DMA weight matrix at BS only with statistical channel state information. By capitalizing on large random matrix theory, a closed-form asymptotic ergodic sum-rate is first obtained. Then, we propose a modified water-filling algorithm to design the optimal transmit covariance matrix under the power consumption and specific absorption rate constraints. Next, we design the phase shift matrix of RIS via the projected gradient ascent algorithm, subject to the non-convex unit-modular constraint. To find the constrained DMA weight matrix, we further resort to the optimal solution of the unconstrained DMA problem and adopt the alternating optimization method. The proposed algorithm is numerically shown to improve the sum-rate compared to the baseline schemes, verifying the effectiveness of the proposed schemes.
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2024.3351356