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Mathematical Problems in Engineering
Volume 2015, Article ID 672837, 10 pages
Research Article

A Two-Dimensional Multiarmed Bandit Approach to Secondary Users with Network Coding in Cognitive Radio Networks

College of Communications Engineering, PLA University of Science and Technology, No. 88 Houbiaoying, Yudao Street, Qinhuai District, Nanjing, Jiangsu 210007, China

Received 11 February 2015; Revised 8 July 2015; Accepted 14 July 2015

Academic Editor: Francisco Chicano

Copyright © 2015 Yuben Qu 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.


We study how to utilize network coding to improve the throughput of secondary users (SUs) in cognitive radio networks (CRNs) when the channel quality is unavailable at SUs. We use a two-dimensional multiarmed bandit (MAB) approach to solve the problem of SUs with network coding under unknown channel quality in CRNs. We analytically prove the asymptotical-throughput optimality of the proposed two-dimensional MAB algorithm. Simulation results show that our proposed algorithm achieves comparable throughput performance, compared to both the theoretical upper bound and the scheme assuming known channel quality information.