PROJECT TITLE :

Achievable Throughput Analysis of Opportunistic Spectrum Access in Cognitive Radio Networks With Energy Harvesting

ABSTRACT:

In this paper, we have a tendency to consider a cognitive radio (CR) network that consists of multiple secondary users (SUs), every of that is provided with an energy harvesting capability. We contemplate the opportunistic use of the idle spectrum, unused by primary users (PUs), through a mechanism of 2-step opportunistic spectrum access for the SUs, consisting of random channel sensing followed by random channel access. Unlike the majority of previous studies, which have considered CR networks with energy harvesting below one user setting, the goal of this paper is to research the joint impact of sensing chance, access likelihood, and energy queue capacity on the maximum achievable throughput in a multiuser CR network incorporating energy harvesting. For 2 extreme cases, those where the energy queue capacity is either infinite or extraordinarily little, we have a tendency to show that the most achievable throughput is not stricken by the channel access chance if the channel sensing probability is chosen appropriately and therefore the optimal sensing chance comes as a perform of network parameters like the energy arrival rate, channel availability probability, and variety of contending SUs.