Aggregate Interference Modeling in Cognitive Radio Networks with Power and Contention Control

TL;DR

This paper models and analyzes interference in cognitive radio networks employing power control, contention control, or hybrid schemes, demonstrating their effectiveness and providing simplified distribution fits and impact assessments.

Contribution

It introduces a comprehensive interference model for CR networks with power, contention, and hybrid controls, including distribution fitting and impact analysis.

Findings

Power and contention controls effectively reduce interference.

Interference distributions can be approximated by log-normal distributions.

Hybrid control schemes show distinct interference characteristics.

Abstract

In this paper, we present an interference model for cognitive radio (CR) networks employing power control, contention control or hybrid power/contention control schemes. For the first case, a power control scheme is proposed to govern the transmission power of a CR node. For the second one, a contention control scheme at the media access control (MAC) layer, based on carrier sense multiple access with collision avoidance (CSMA/CA), is proposed to coordinate the operation of CR nodes with transmission requests. The probability density functions of the interference received at a primary receiver from a CR network are first derived numerically for these two cases. For the hybrid case, where power and contention controls are jointly adopted by a CR node to govern its transmission, the interference is analyzed and compared with that of the first two schemes by simulations. Then, the interference distributions under the first two control schemes are fitted by log-normal distributions with greatly reduced complexity. Moreover, the effect of a hidden primary receiver on the interference experienced at the receiver is investigated. It is demonstrated that both power and contention controls are effective approaches to alleviate the interference caused by CR networks. Some in-depth analysis of the impact of key parameters on the interference of CR networks is given via numerical studies as well.