A Probabilistic MAC for Cognitive Radio Systems with Energy Harvesting Nodes

TL;DR

This paper introduces a probabilistic medium access control scheme for energy-harvesting cognitive radio systems, optimizing secondary user success while respecting primary user QoS constraints under realistic channel conditions.

Contribution

It proposes a novel energy-based probabilistic access scheme considering energy harvesting, sensing errors, and multi-packet reception, enhancing spectrum sharing efficiency.

Findings

The scheme improves secondary user success rate.

It maintains primary user QoS constraints.

Numerical results validate effectiveness under Rayleigh fading.

Abstract

In this paper, we consider a cognitive radio (CR) system where the secondary user (SU) harvests energy from both the nature resources and the primary user (PU) radio frequency(RF) signal. We propose an energy-based probabilistic access scheme in which SU probabilistically accesses and senses the primary channel. The decision is based on the available energy and the PU's activity. We investigate the problem of maximizing the SU's success rate provided that the PU average quality of service (QoS) constraint is satisfied. We also assume multi-packet reception (MPR) capability and sensing errors under a Rayleigh fading channel. Numerical results show the effectiveness of the proposed probabilistic access scheme.