Role Switching and Power Allocation Technique for Mobile Users in NOMA
Irfan Azam, Muhammad Basit Shahab, Soo Young Shin

TL;DR
This paper introduces a novel role switching and power allocation method for mobile NOMA users to address user mobility challenges, improving capacity by dynamically adjusting user roles and power distribution.
Contribution
It proposes the optimized power role switching-NOMA (OPRS-NOMA) technique, combining role switching based on channel gains with a bisection search power optimization for mobile users.
Findings
OPRS-NOMA outperforms conventional NOMA and OMA in capacity.
Role switching effectively addresses NOMA principle violations caused by user mobility.
Simulation results validate the proposed method's superiority in dynamic scenarios.
Abstract
In this letter, role switching and power allocation schemes are proposed to tackle user mobility in non-orthogonal multiple access (NOMA) systems. When cell center user (CCU) and cell edge user (CEU) come very close or even cross each other in NOMA pairing, channel gains of paired users violate the basic NOMA conditions. This article refers to such condition as NOMA principle violation problem (NPVP). To solve this NPVP, optimized power role switching-NOMA (OPRS-NOMA) technique is proposed. Role switching technique is used where roles of mobile users are switched on the basis of their channel gains. Furthermore, a power allocation scheme based on bisection search power optimization is presented to maximize the average sum capacity of mobile NOMA users. Random way point mobility model is considered for user mobility. Individual and sum capacity are used for performance evaluation.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Wireless Communication Technologies · Energy Harvesting in Wireless Networks · IoT Networks and Protocols
