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Abstract and Applied Analysis
Volume 2014 (2014), Article ID 430696, 8 pages
http://dx.doi.org/10.1155/2014/430696
Research Article

Throughput-Delay Trade-Off for Cognitive Radio Networks: A Convex Optimization Perspective

College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China

Received 12 December 2013; Revised 15 February 2014; Accepted 12 March 2014; Published 7 April 2014

Academic Editor: Gerd Teschke

Copyright © 2014 Hang Hu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The throughput-delay trade-off problem for cooperative spectrum sensing (CSS) is investigated. It is proved that the maximum achievable throughput and the minimum transmission delay cannot be obtained simultaneously. An efficient algorithm is proposed to optimize the sensing bandwidth and the final decision threshold jointly such that the throughput is maximized while the delay is constrained. It is demonstrated that convex optimization plays an essential role in solving the problem in an efficient way. Simulation results show that the proposed optimal scheme can significantly improve the throughput of the secondary users (SUs) under the constraint that the delay Quality of Service (QoS) requirements of the SUs are satisfied.