Tsinghua National Laboratory for Information Science and Technology, State Key Laboratory on Microwave and Digital Communications, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
Opportunistic spectrum access is a promising approach to realize spectrum sharing between heterogeneous wireless networks. Previous research has not thoroughly considered the effect of the channel quality information on the opportunistic spectrum access. This study considers both the channel occupation information of the primary user and the channel quality information of the secondary user to design an opportunistic spectrum access policy with a channel quality threshold based policy by solving a convex optimization problem. This policy maximizes the effective throughput of the secondary user, while meeting the transmission quality requirement of the primary user, and is proved to be optimal in single channel scenarios. Numerical results show that this opportunistic spectrum access policy significantly improves the effective throughput of the secondary user.
Zhao Q, Sadler B. A survey of dynamic spectrum access [J]. IEEE Signal Process Magazine, 2007, 24(3): 79-89.
[2]
Li X, Zhao Q, Guan X, et al.Optimal cognitive access of Markovian channels under tight collision constraints[J]. IEEE J Sel Areas Commun, 2011, 29(4): 746-756.
[3]
Zhao Q, Geirhofer S, Tong L, et al.Opportunistic spectrum access via periodic channel sensing[J]. IEEE Trans Signal Process, 2008, 56(2): 785-796.
[4]
Chen S, Tong L. Maximum throughput region of multiuser cognitive access of continuous time Markovian channels[J]. IEEE J Sel Areas Commun, 2011, 29(10): 1959-1969.
[5]
Chen S, Tong L. Multiuser cognitive access of continuous time Markov channels: Maximum throughput and effective bandwidth regions [C]// Proc Information Theory and Applications Workshop(ITA). San Diego, CA: IEEE Press, 2010: 1-10.
[6]
Xu Y, Wang J, Wu Q, et al.Opportunistic spectrum access in unknown dynamic environment: A game-theoretic stochastic learning solution[J]. IEEE Trans Wireless Commun, 2012, 11(4): 1380-1391.
[7]
Kim K, Kwak K, Choi B. Performance analysis of opportunistic spectrum access protocol for multi-channel cognitive radio networks[J]. Journal of Commun and Networks, 2013, 15(1): 77-86.
[8]
Zheng D, Ge W, Zhang J. Distributed opportunistic scheduling for ad hoc networks with random access: an optimal stopping approach[J]. IEEE Trans Inf Theory, 2009, 55(1): 205-222.
[9]
Shu T, Krunz M. Throughput-efficient sequential channel sensing and probing in cognitive radio networks under sensing errors [C]// Proc 15th annual international conference on Mobile computing and networking (MobiCom). Beijing, China: ACM press, 2009: 37-48.
[10]
Tan S, Zeidler J, Rao B. Opportunistic channel-aware spectrum access for cognitive radio networks with interleaved transmission and sensing[J]. IEEE Trans Wireless Commun, 2013, 12(5): 2376-2388.
[11]
PENG Xiaodong, XIAO Limin, ZHONG Xiaofeng, et al.Modeling and analysis of an opportunistic transmission scheme based on channel quality information in multi-channel cognitive networks [C]// Proc Wireless Communications and Networking Conference (WCNC). Shanghai, China: IEEE press, 2013: 297-302.
[12]
Geirhofer S, Tong L, Sadler B. Cognitive medium access: constraining interference based on experimental models[J]. IEEE J Sel Areas Commun, 2008, 26(1): 95-105.
[13]
Geirhofer S, Tong L, Sadler B. A measurement-based model for dynamic spectrum access in WLAN channels [C]// Proc Military Communications Conference (MILCOM). Washington, DC: IEEE press, 2006: 1-7.
2014, Vol. 54 
)
