Enhancing the Performance of Low Priority SUs Using Reserved Channels in CRN

TL;DR

This paper proposes a multi-dimensional Markov model with reservation channels and channel aggregation to improve spectrum utilization, capacity, and handoff reduction for low priority secondary users in cognitive radio networks.

Contribution

It introduces a novel reservation channel access scheme combined with channel aggregation, enhancing low priority SUs' performance and enabling high priority SUs to resume connections after drops.

Findings

Enhanced spectrum utilization and capacity for low priority SUs.

Reduced handoff probability for secondary users.

Improved performance of high priority SUs with connection resumption.

Abstract

Cognitive radio networks (CRNs) are considered a promising solution for spectrum resources scarcity and efficient channel utilization. In this letter, multi-dimensional analytical Markov model based on reservation channel access scheme and channel aggregation method is proposed to enhance spectrum utilization, capacity of low priority secondary users (SUs) and reducing handoff probability of SUs. Moreover, the proposed method improves the performance of high priority SUs by providing the capability to resume the connection after dropping. The numerical results indicate that the modified reservation access model can enhance the performance of SUs compared to the traditional basic random access model.