Paper Info
Title
Robust Beamforming Design for IRS-Aided URLLC in D2D Networks
Abstract
Intelligent reflecting surface (IRS) and device-to-device (D2D) communication are two promising technologies for improving transmission reliability between transceivers in communication systems. In this paper, we consider the design of reliable communication between the access point (AP) and actuators for a downlink multiuser multiple-input single-output (MISO) system in the industrial IoT (IIoT) scenario. We propose a two-stage protocol combining IRS with D2D communication so that all actuators can successfully receive the message from AP within a given delay. The superiority of the protocol is that the communication reliability between AP and actuators is doubly augmented by the IRS-aided first-stage transmission and the second-stage D2D transmission. A joint optimization problem of active and passive beamforming is formulated, which aims to maximize the number of actuators with successful decoding. We study the joint beamforming problem for cases where the channel state information (CSI) is perfect and imperfect. For each case, we develop efficient algorithms that include convergence and complexity analysis. Simulation results demonstrate the necessity and role of IRS with a well-optimized reflection matrix, and the D2D network in promoting reliable communication. Moreover, the proposed protocol can enable reliable communication even in the presence of stringent latency requirements and CSI estimation errors.
Year
DOI
Venue
2022
10.1109/TCOMM.2022.3190854
IEEE Transactions on Communications
Keywords
DocType
Volume
D2D communication,Industrial Internet of Things (IIoT),intelligent reflecting surface (IRS),robust beamforming,URLLC
Journal
70
Issue
ISSN
Citations 
9
0090-6778
0
PageRank 
References 
Authors
0.34
24
4
Name
Order
Citations
PageRank
Jing Cheng15014.53
Chao Shen21109.68
Zheng Chen316915.97
Nikolaos Pappas443847.97