Online Time Sharing Policy in Energy Harvesting Cognitive Radio Network with Channel Uncertainty

TL;DR

This paper proposes a robust online transmission policy for energy harvesting cognitive radio networks with channel uncertainty, optimizing time sharing and power to maximize throughput within deadlines.

Contribution

It introduces a novel online policy that jointly optimizes time sharing and power in energy harvesting cognitive radios under channel uncertainty, improving throughput.

Findings

Proposed policy outperforms offline and myopic policies.

Maximizes average throughput within given deadlines.

Models energy availability as a Markov process.

Abstract

This paper considers an energy harvesting underlay cognitive radio network operating in a slotted fashion. The secondary transmitter scavenges energy from environmental sources in half duplex fashion and stores it in finite capacity rechargeable battery. It splits each slot into two phases: harvesting phase and transmission phase. We model the energy availability at the secondary user as first order stationary Markov process. We propose a robust online transmission policy by jointly optimizing the time sharing between the two phases and transmit power of secondary user, which maximizes its average throughput by a given time deadline.We show the comparison of our proposed policy with the offline and myopic policies.