Active RIS in digital twin-based URLLC IoT networks: fully-connected vs. sub-connected?

Kurma, S., Lestari, T.A., Singh, K., Paul, A. and Mumtaz, S. ORCID: 0000-0001-6364-6149, 2024. Active RIS in digital twin-based URLLC IoT networks: fully-connected vs. sub-connected? IEEE Transactions on Wireless Communications. ISSN 1536-1276

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Abstract

The substantial power consumption attributed to the active components within fully-connected reconfigurable intelligent surface (RIS) architecture significantly hinders the efficiency and sustainability of DT-enabled MEC networks. To tackle this challenge, we present an innovative sub-connected architecture for active RIS within the digital twin (DT) integrated mobile edge computing (MEC) framework of an Internet-of-Things (IoT) networks, capitalizing on edge intelligence to enhance ultra-reliable and low-latency communication (URLLC) services. The primary aim of our research is to improve uplink data transmission from IoT URLLC user nodes (UNs) to a base station (BS) with the aid of an active RIS, even under an imperfect channel state information (CSI). We have formulated the total end-to-end (e2e) latency minimization problem, which is solved by using an efficient alternating optimization (AO) algorithm. The algorithm breaks down the proposed non-convex problem into five subproblems, namely, beamforming design, caching and offloading policy optimization, joint communication and computation optimization, and joint active RIS phase shift and amplification factor vector optimization. We conducted a thorough analysis of the convergence properties of the proposed AO algorithm, benchmarking its performance against the established Heuristic algorithm. Our simulation results consistently demonstrate the superiority of our proposed DT-assisted optimal phase sub-connected active RIS scheme over various benchmark schemes, taking into account various factors such as the number of RIS elements, power budget constraints, imperfect CSI, edge computing server (ECS) cache capacity, number of IoT UNs, and the number of power amplifiers.

Item Type: Journal article
Publication Title: IEEE Transactions on Wireless Communications
Creators: Kurma, S., Lestari, T.A., Singh, K., Paul, A. and Mumtaz, S.
Publisher: Institute of Electrical and Electronics Engineers
Date: 26 April 2024
ISSN: 1536-1276
Identifiers:
NumberType
10.1109/twc.2024.3391663DOI
1889560Other
Rights: © 2024 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: Jonathan Gallacher
Date Added: 30 Apr 2024 10:25
Last Modified: 30 Apr 2024 10:25
URI: https://irep.ntu.ac.uk/id/eprint/51369

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