Maximizing system throughput by cooperative sensing in Cognitive Radio Networks

—Cognitive Radio Networks allow unlicensed users to opportunistically access the licensed spectrum without causing disruptive interference to the primary users (PUs). One of the main challenges in CRNs is the ability to detect PU transmissions. Recent works have suggested the use of secondary user (SU) cooperation over individual sensing to improve sensing accuracy. In this paper, we consider a CRN consisting of a single PU and multiple SUs to study the problem of maximizing the total expected system throughput. We propose a Bayesian decision rule based algorithm to solve the problem optimally with a constant time complexity. To prioritize PU transmissions, we re-formulate the throughput maximization problem by adding a constraint on the PU throughput. The constrained optimization problem is shown to be strongly NP-hard and solved via a greedy algorithm with pseudo-polynomial time complexity that achieves strictly greater than 1/2 of the optimal solution. We also investigate the case...

• Type: Journal
• Year: 2012
• Where: INFOCOM
• Authors: Shuang Li, Zizhan Zheng, Eylem Ekici, Ness B. Shroff
• Keywords: Communications, INFOCOM 2012, Polynomial Time Complexity, Pseudo Polynomial, System Throughput