Capacity scaling law by multiuser diversity in cognitive radio systems

TL;DR

This paper investigates the capacity scaling laws in cognitive radio systems, focusing on multiuser diversity gains while ensuring primary user protection through power control and considering primary traffic dynamics.

Contribution

It derives the average capacity of secondary networks and analyzes asymptotic behaviors to characterize multiuser diversity gains in cognitive radio systems.

Findings

Derived the average achievable capacity of secondary networks.

Analyzed asymptotic behaviors to understand capacity scaling.

Ensured primary user protection via power control.

Abstract

This paper analyzes the multiuser diversity gain in a cognitive radio (CR) system where secondary transmitters opportunistically utilize the spectrum licensed to primary users only when it is not occupied by the primary users. To protect the primary users from the interference caused by the missed detection of primary transmissions in the secondary network, minimum average throughput of the primary network is guaranteed by transmit power control at the secondary transmitters. The traffic dynamics of a primary network are also considered in our analysis. We derive the average achievable capacity of the secondary network and analyze its asymptotic behaviors to characterize the multiuser diversity gains in the CR system.