Joint optimal power allocation and sensing threshold selection for SUs capacity maximization in SS CRNs

TL;DR

This paper introduces a joint optimization method for power allocation and sensing threshold selection to maximize secondary user capacity in spectrum sharing cognitive radio networks, enhancing performance.

Contribution

It presents a novel joint optimization framework for power and sensing threshold selection in SS CRNs, improving secondary user capacity.

Findings

Joint optimization improves SU capacity

Optimal parameters significantly enhance performance

Method outperforms non-optimized approaches

Abstract

We propose a joint optimal power allocation and sensing threshold selection for capacity maximization at the secondary user (SU) in spectrum sharing (SS) cognitive radio networks (CRNs). Hence, both optimal power allocation (OPA) and spectrum sensing (SpSe) is considered in the SS CRNs model. The obtained results show that such a joint optimal selection improves the performance of the SU by maximizing its capacity.