Reconfigurable intelligent surfaces-assisted communication under different CSI assumptions
This work studies the net sum-rate performance of a distributed reconfigurable intelligent surfaces (RlSs)-assisted multi-user multiple-input-single-output (MISO) downlink communication system under imperfect instantaneous-channel state information (I-CSI) to implement precoding at the base station (BS) and statistical-CSI (S-CSI) to design the RISs phase-shifts. Two channel estimation (CE) protocols are considered for I-CSI acquisition: (i) a full CE protocol that estimates all direct and RISs-assisted channels over multiple training sub-phases, and (ii) a low-overhead direct estimation (DE) protocol that estimates the end-to-end channel in a single sub-phase. We derive the asymptotic equivalents of signal-to-interference-plus-noise ratio (SINR) and ergodic net sum-rate under both protocols for given RISs phase-shifts, which are then optimized based on S-CSI. Simulation results reveal that the low-complexity DE protocol yields better net sum-rate than the full CE protocol when used to obtain CSI for precoding. A benchmark full I-CSI based RISs design is also outlined and shown to yield higher SINR but lower net sum-rate than the S-CSI based RISs design.
History
Publication status
- Published
File Version
- Accepted version
Journal
2023 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)Publisher
IEEEPublisher URL
Event name
IEEE International Mediterranean Conference on Communications and Networking (MeditCom) WorkshopEvent location
Dubrovnik, CroatiaEvent type
ConferenceEvent date
4-7 September 2023ISBN
9798350333732Department affiliated with
- Engineering and Design Publications
Notes
© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Institution
University of SussexFull text available
- Yes
Peer reviewed?
- Yes