RIS selection scheme for UAV-based multi-RIS-aided multiuser downlink network with imperfect and outdated CSI

Bansal, A, Agrawal, N, Singh, K, Li, C-P and Mumtaz, S ORCID: https://orcid.org/0000-0001-6364-6149, 2023. RIS selection scheme for UAV-based multi-RIS-aided multiuser downlink network with imperfect and outdated CSI. IEEE Transactions on Communications. ISSN 0090-6778

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Abstract

In this paper, we explore the use of reconfigurable intelligent surface (RIS) in unmanned aerial vehicle (UAV) based multiuser downlink communications, where a flying UAV serves multiple single antenna users through multiple RISs mounted on various buildings. More specifically, we consider the selection of RISs based on the outdated and imperfect channel state information (CSI) of the composite UAV-RIS-User channels at the UAV. After selection process, the UAV communicates to the user via the selected RISs and also with the direct link. Particularly, we derive an infinite series based expression for selection probability of RISs under both the outdated and imperfect CSI of composite channels based selection scheme. We also derive the statistical distribution of instantaneously received signal-to-noise ratio (SNR) under outdated and imperfect CSI conditions of both the direct and composite links at the user. Next, using the derived statistics, we analyze the network’s performance in terms of the average coverage probability (ACP) and average bit error rate (ABER) over the complete UAV flight time. Moreover, we discuss the behavior of ACP and ABER for very small and very large values of UAV transmit power, respectively. It is depicted through numerical results that selecting more RISs from a group of small-sized RISs may not be as advantageous as selecting fewer RISs from a group of large-sized RISs. Moreover, we also demonstrate the effect of several system parameters such as number of RIS reflecting elements, number of selected RISs, the severity of UAV-RIS and RIS-User links, and the severity of imperfect and outdated CSI on the network’s performance. The analytical results are corroborated with Monte-Carlo simulations.

Item Type:	Journal article
Publication Title:	IEEE Transactions on Communications
Creators:	Bansal, A., Agrawal, N., Singh, K., Li, C.-P. and Mumtaz, S.
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Date:	2023
ISSN:	0090-6778
Identifiers:	Number Type 10.1109/tcomm.2023.3277540 DOI 1763630 Other
Rights:	© 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
Divisions:	Schools > School of Science and Technology
Record created by:	Laura Ward
Date Added:	09 Jun 2023 08:06
Last Modified:	09 Jun 2023 08:06
URI:	https://irep.ntu.ac.uk/id/eprint/49152

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