Intelligent radio resource management in reconfigurable IRS-enabled NOMA networks

Basharat, Sarah, Pervaiz, Haris, Hassan, Syed Ali, Ansari, Rafay, Jung, Haejoon, Dev, Kapal and Huang, Gaojian (2022) Intelligent radio resource management in reconfigurable IRS-enabled NOMA networks. Physical Communication, 53. p. 101744. ISSN 1874-4907

[img] Text
AAM.pdf - Accepted Version
Restricted to Repository staff only until 16 May 2023.
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0.

Download (450kB) | Request a copy
Official URL: https://doi.org/10.1016/j.phycom.2022.101744

Abstract

Intelligent reflecting surfaces (IRSs) are anticipated to provide reconfigurable propagation environment for next generation communication systems. In this paper, we investigate a downlink IRS-aided multi-carrier (MC) non-orthogonal multiple access (NOMA) system, where the IRS is deployed to especially assist the blocked users to establish communication with the base station (BS). To maximize the system sum rate under network quality-of-service (QoS), rate fairness and successive interference cancellation (SIC) constraints, we formulate a problem for joint optimization of IRS elements, sub-channel assignment and power allocation. The formulated problem is mixed non-convex. Therefore, a novel three stage algorithm is proposed for the optimization of IRS elements, sub-channel assignment and power allocation. First, the IRS elements are optimized using the bisection method based iterative algorithm. Then, the sub-channel assignment problem is solved using one-to-one stable matching algorithm. Finally, the power allocation problem is solved under the given sub-channel and optimal number of IRS elements using Lagrangian dual-decomposition method based on Lagrangian multipliers. Moreover, in an effort to demonstrate the low-complexity of the proposed resource allocation scheme, we provide the complexity analysis of the proposed algorithms. The simulated results illustrate the various factors that impact the optimal number of IRS elements and the superiority of the proposed resource allocation approach in terms of network sum rate and user fairness. Furthermore, we analyze the proposed approach against a new performance metric called computational efficiency (CE).

Item Type: Article
Additional Information: Funding information: The work of H. Jung was supported by the MSIT (Ministry of Science and ICT), Korea, in part under the National Research Foundation of Korea (NRF) Grant (NRF-2021M1A2A2061357), and in part under the ITRC (Information Technology Research Center) support programs (IITP-2021-0-02046) supervised by the IITP (Institute for Information & Communications Technology Planning & Evaluation).
Uncontrolled Keywords: Intelligent reflecting surface, Non-orthogonal multiple access, Resource allocation, Optimization, Stable matching
Subjects: G400 Computer Science
G500 Information Systems
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Rachel Branson
Date Deposited: 01 Jun 2022 08:08
Last Modified: 01 Jun 2022 08:15
URI: http://nrl.northumbria.ac.uk/id/eprint/49239

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics