Effective Capacity of Delay Constrained Cognitive Radio Links Exploiting Primary Feedback

TL;DR

This paper investigates how leveraging primary feedback in cognitive radio systems enhances the secondary user's effective capacity under delay constraints, supporting real-time applications with improved performance and lower power consumption.

Contribution

It analytically demonstrates that exploiting primary feedback improves secondary link effective capacity and reduces power usage in delay-constrained cognitive radio networks.

Findings

Exploiting primary feedback increases secondary effective capacity.

Feedback use reduces secondary user power consumption.

Numerical results confirm analytical improvements.

Abstract

In this paper, we analyze the performance of a secondary link in a cognitive radio (CR) system operating under statistical quality of service (QoS) delay constraints. In particular, we quantify analytically the performance improvement for the secondary user (SU) when applying a feedback based sensing scheme under the "SINR Interference" model. We leverage the concept of effective capacity (EC) introduced earlier in the literature to quantify the wireless link performance under delay constraints, in an attempt to opportunistically support real-time applications. Towards this objective, we study a two-link network, a single secondary link and a primary network abstracted to a single primary link, with and without primary feedback exploitation. We analytically prove that exploiting primary feedback at the secondary transmitter improves the EC of the secondary user and decreases the secondary user average transmitted power. Finally, we present numerical results that support our analytical results.