Title: Spectrum allocation and optimisation of wireless communication networks

Authors: S. Palanikumar; S. Ramamoorthy; N. Ashok Kumar; Sheshang Degadwala

Addresses: Department of Computer Science and Business Systems, Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai, Tamil Nadu, 600062, India ' Department of Information Technology, V.S.B. Engineering College, Karudayampalayam Post, Karur, Tamil Nadu, 639111, India ' Department of Electronics and Communication Engineering, Mohan Babu University, Erstwhile Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, 517102, India ' Department of Computer Engineering, Sigma University, Post Bakrol, Ajwa Road, Waghodia, Nimeta, Vadodara, Gujarat, 390019, India

Abstract: The wireless communication network spectrum is a limited resource. With the rapid growth of mobile communication services in recent years, traditional spectrum allocation methods - typically based on fixed spectrum allocation strategies - often lead to inefficient and uneven resource distribution. Consequently, there is an urgent need to address the issues of spectrum allocation and optimisation. The integration of semantic mobile computing within the Internet of Things (IoT), along with advancements in emerging bionic models, offers novel approaches to this challenge. Analytical results indicate that, in terms of performance, the success rate of the Swarm Fission Optimisation Algorithm (SFOA) surpasses that of the particle swarm optimisation (PSO) algorithm, with both achieving a 100% success rate in function evaluations. Furthermore, the SFOA algorithm demonstrates superior stability and accuracy compared to the other two algorithms. Its advantages become particularly pronounced under high signal-to-noise ratio (SNR) conditions.

Keywords: mobile computer (MC); LTE; long-term evolution; H-IoT; GAA's radio; spectrum allocation; wireless communication networks; graph theory-based models.

DOI: 10.1504/IJMNDI.2026.152399

International Journal of Mobile Network Design and Innovation, 2026 Vol.12 No.1, pp.20 - 30

Received: 17 Apr 2025
Accepted: 07 Aug 2025
Published online: 18 Mar 2026 *

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