Title: Intelligent optimisation induced 5G spectrum dynamic allocation

Authors: Yuan Zhou

Addresses: College of Electronics and Information, Huanghuai University, Zhumadian, Huanghuai, China

Abstract: The 5G communication network system provides services with large capacity, high speed and low latency, which may make the shortage of spectrum resources become more and more serious. However, most of the existing spectrum allocation algorithms are based on continuous spectrum allocation and do not consider the needs of users. The continuous spectrum allocation will generate many spectrum fragments that cannot satisfy user's requirements. These spectrum fragments cannot be fully utilised, which results in a waste of spectrum. In order to tackle this issue, this paper adopts a spectrum allocation algorithm that can jointly consider both the needs of users and discontinuous spectrum aggregation. In this algorithm, non-contiguous spectrum fragments can be aggregated to meet the user demand of spectrum, which can make full use of small spectrum fragments to avoid waste and improve spectrum utilisation.

Keywords: 5G spectrum; spectrum allocation; spectrum segment; deep learning; distributed spectrum allocation.

DOI: 10.1504/IJCAT.2025.148160

International Journal of Computer Applications in Technology, 2025 Vol.76 No.1/2, pp.76 - 82

Received: 29 Oct 2023
Accepted: 18 Jul 2024
Published online: 27 Aug 2025 *