TechRxiv
Intelligent_Radio_Resource_Management_in_Reconfigurable_IRS_enabled_NOMA_Networks.pdf (1.33 MB)
Download file

Intelligent Radio Resource Management in Reconfigurable IRS-enabled NOMA Networks

Download (1.33 MB)
preprint
posted on 17.05.2022, 16:49 authored by Sarah BasharatSarah Basharat, Haris bin PervaizHaris bin Pervaiz, Syed Ali Hassan, Rafay AnsariRafay Ansari, Haejoon Jung, Kapal Dev, Gaojian Huang
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 analyse the proposed approach against a new performance metric called computational efficiency (CE).

History

Email Address of Submitting Author

sbasharat.msee19seecs@seecs.edu.pk

ORCID of Submitting Author

https://orcid.org/ 0000-0003-0941-5627

Submitting Author's Institution

National University of Sciences and Technology

Submitting Author's Country

Pakistan