A Robust Spectrum Allocation Framework Towards Inference Management in Multichannel Cognitive Radio Networks

• Published in: International journal of communication systems 2024-11
• Main Authors: Panda, Shashi Bhusan, Swain, Prasanta Kumar, Imoize, Agbotiname Lucky, Tripathy, Subhranshu Sekhar, Lee, Cheng‐Chi
• Format: Article
• Language: English
• ISSN: 1074-5351; 1099-1131
• DOI: 10.1002/dac.6057

Recently, there has been research on using cognitive radio to increase the effectiveness of spectrum resources. Secondary users (SUs) sense, identify, and access frequency bands presently unoccupied by primary users (PUs). Indeed, the precise communication methods of PUs remain consistently unknown to SUs. Designing an appropriate system for spectrum monitoring along with access is necessary to address the challenging problem of guaranteeing the quality of service (QoS) for PUs and satisfying the demand of SUs for spectrum resources. When several SUs and different channels are available, spectrum allocation and sharing must be considered. This work proposes a system for allocating spectrum to multiple users and sharing multiple channels for SUs dealing with PUs with uncertain behavior. The study focuses on analyzing the interference caused to PUs by the dynamic access of SUs. The analysis of the interference produced by SUs is conducted using renewal theory. Queuing theory determines the highest average data rate achievable by SUs while considering the limitations imposed by interference to PUs and the need to maintain stability in the secondary network. Comprehensive simulations validate the efficacy of this approach.