Title: Analysis of interference cancellation under limited frequency band resources for B5G communication system application scenarios
Authors: Xin Wang; Na E; Ziyu Wang; Meng Wu
Addresses: Network Center, Hulunbuir University, Hulunbuir, 021008, China ' School of Law and Economic Management, Hulunbuir University, Hulunbuir, 021008, China ' Department of Key Accounts, China Mobile Group Neimenggu Co., Ltd., Hulunbuir Branch, Hulunbuir, 021008, China ' Network Center, Hulunbuir University, Hulunbuir, 021008, China
Abstract: In a bandwidth-constrained setting, precise self-interference cancellation in communication systems poses challenges. This research extends optical self-interference cancellation to propose an adaptive interference mitigation strategy tailored for advanced mobile communication systems beyond the fifth generation. By considering delay gains in reference and self-interference channels, along with multipath temporal aspects, an unconstrained optimisation algorithm is introduced. Additionally, an adaptive mitigation strategy for multipath channels is devised using orthogonal frequency-division multiplexing technology. Simulation experiments demonstrate the optimised algorithm's 29.82-38.15% reduced sampling energy consumption compared to alternatives. The self-interference cancellation strategy saves energy, achieving -30.02 dB detection depth. Post-cancellation, the signal spectrum's error vector magnitude is only 6.71%, a 71.72% decrease. The results highlight the effectiveness of this adaptive interference mitigation strategy in self-interference and multipath signal elimination in communication systems.
Keywords: band-limited resources; interference mitigation; unconstrained optimisation algorithm; delay gains; multipath signals.
DOI: 10.1504/IJISTA.2025.148885
International Journal of Intelligent Systems Technologies and Applications, 2025 Vol.23 No.3, pp.253 - 271
Received: 11 Jul 2024
Accepted: 30 Oct 2024
Published online: 30 Sep 2025 *