Jammer Mitigation in Absorptive RIS-Assisted Uplink NOMA
Journal article, 2026

Non-orthogonal multiple access (NOMA) is a promising technology for next-generation wireless communication systems due to its enhanced spectral efficiency. However, wireless communication is facing increasing requirements for security. To that end, jamming mitigation using multi-antennas has emerged as an important research topic. In this paper, we consider an uplink NOMA system with a reconfigurable intelligent surface (RIS) that assists the uplink users and, at the same time, mitigates the jammer. Our goal is to minimize the total users’ transmitted power under signal-to-interference-plus-noise ratio constraints at the base station. To be effective, typically a high-dimensional RIS is needed, leading to a large optimization problem, which in general faces convergence problems. We propose an iterative algorithm for this high-dimensional non-convex optimization problem that converges with a jammer comprising as many as 64 antennas, and an RIS with 128 elements. More specifically, we introduce a design and optimize the performance of an absorptive RIS (A-RIS). Compared to a standard RIS, we show that an A-RIS can dramatically reduce the users’ required transmit power and successfully mitigate the jammer. The A-RIS is in particular useful in cases when the number of jammer antennas is of the same order as the number of A-RIS elements.

A-RIS

non-convex optimization

jammer

SDR

absorptive

phase shift

interference

Dinkelbach algorithm

NOMA

Author

Azadeh Tabeshnezhad

Chalmers, Computer Science and Engineering (Chalmers), Computer and Network Systems

Yuqing Zhu

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Artem Vilenskiy

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Ly V. Nguyen

University of Kansas

A. Lee Swindlehurst

Samueli School of Engineering

Tommy Svensson

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

IEEE Transactions on Communications

00906778 (ISSN) 15580857 (eISSN)

Vol. 74 7199-7212

Subject Categories (SSIF 2025)

Communication Systems

Telecommunications

Signal Processing

DOI

10.1109/TCOMM.2026.3681624

More information

Latest update

4/21/2026