Low-complexity distributed spectrum sharing among multiple cognitive users

The problem of sharing multiple primary channels among multiple cognitive users is considered. The occupancy of each primary channel is modeled by a continuous time on-off process with exponentially distributed idle (off) period and arbitrarily distributed busy (on) period. Each cognitive user follows a slotted sensing-before-transmission access protocol, with the capability of sensing one primary channel in each slot. To limit the interference to the primary users, the transmissions of cognitive users on each channel are subject to a prescribed collision constraint. In the absence of sensing error, it is shown that a distributed spectrum sharing scheme with low complexity achieves the throughput region under tight collision constraints. Cognitive access with sensing error is also investigated and optimal transmission policy is obtained for the orthogonalized periodic sensing. Packet level simulations are conducted to validate the performance of the spectrum sharing scheme under various channel models as well as perfect and imperfect channel sensing.

[1]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[2]  Lang Tong,et al.  Multiuser cognitive access of continuous time Markov channels: Maximum throughput and effective bandwidth regions , 2010, 2010 Information Theory and Applications Workshop (ITA).

[3]  Zhi Ding,et al.  Optimal Sensing-Transmission Structure for Dynamic Spectrum Access , 2009, IEEE INFOCOM 2009.

[4]  Mingyan Liu,et al.  Optimality of Myopic Sensing in Multi-Channel Opportunistic Access , 2008, 2008 IEEE International Conference on Communications.

[5]  Zhi Ding,et al.  Opportunistic spectrum access in cognitive radio networks , 2008, IJCNN.

[6]  Brian M. Sadler,et al.  Dynamic spectrum access in WLAN channels: empirical model and its stochastic analysis , 2006, TAPAS '06.

[7]  Karl Johan Åström,et al.  Optimal control of Markov processes with incomplete state information , 1965 .

[8]  Zhi Ding,et al.  Optimal Transmission Strategies for Dynamic Spectrum Access in Cognitive Radio Networks , 2009, IEEE Transactions on Mobile Computing.

[9]  Bhaskar Krishnamachari,et al.  On myopic sensing for multi-channel opportunistic access: structure, optimality, and performance , 2007, IEEE Transactions on Wireless Communications.

[10]  Brian M. Sadler,et al.  Dynamic Spectrum Access in the Time Domain : Modeling and Exploiting Whitespace , 2007 .

[11]  Brian M. Sadler,et al.  A Survey of Dynamic Spectrum Access , 2007, IEEE Signal Processing Magazine.

[12]  Lang Tong,et al.  Interference-aware OFDMA resource allocation: A predictive approach , 2008, MILCOM 2008 - 2008 IEEE Military Communications Conference.

[13]  Brian M. Sadler,et al.  COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - Dynamic Spectrum Access in the Time Domain: Modeling and Exploiting White Space , 2007, IEEE Communications Magazine.

[14]  Brian M. Sadler,et al.  Opportunistic Spectrum Access via Periodic Channel Sensing , 2008, IEEE Transactions on Signal Processing.

[15]  Lang Tong,et al.  Delay Analysis for Cognitive Radio Networks with Random Access: A Fluid Queue View , 2010, 2010 Proceedings IEEE INFOCOM.

[16]  W.H. Tranter,et al.  Dynamic spectrum allocation in cognitive radio using hidden Markov models: Poisson distributed case , 2007, Proceedings 2007 IEEE SoutheastCon.

[17]  Ananthram Swami,et al.  Joint Design and Separation Principle for Opportunistic Spectrum Access in the Presence of Sensing Errors , 2007, IEEE Transactions on Information Theory.

[18]  Ananthram Swami,et al.  Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework , 2007, IEEE Journal on Selected Areas in Communications.

[19]  Brian M. Sadler,et al.  Optimal Dynamic Spectrum Access via Periodic Channel Sensing , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[20]  Brian M. Sadler,et al.  Cognitive Medium Access: Constraining Interference Based on Experimental Models , 2008, IEEE Journal on Selected Areas in Communications.

[21]  J. Doob Stochastic processes , 1953 .

[22]  Lang Tong,et al.  Optimal Cognitive Access of Markovian Channels under Tight Collision Constraints , 2011, IEEE J. Sel. Areas Commun..

[23]  Q. Zhao,et al.  Decentralized cognitive mac for dynamic spectrum access , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..