Decentralized Predictive MAC Protocol for Ad Hoc Cognitive Radio Networks

A new problem of spectrum scarcity has emerged due to the incredible technological advances in wireless communication. The spectrum scarcity issue is a bottleneck for the next generation of wireless communications. Therefore, efficient spectrum utilization has attracted considerable attention. This paper proposes a novel method of utilizing the white spaces in the licensed spectrum while ensuring the incumbent licensees’ rights. The protocol predicts the incumbents’ arrival using a historical prediction method and protects the incumbent users from the interference of opportunistic spectrum users. Distributed sensing is used to determine the network wide spectrum opportunity. The channel access delay in the proposed protocol is evaluated by simulation and mathematical analysis. The protocol has the advantages of a decentralized system, flexibility and low computing complexity. The simulations show that the protocol outperforms the existing opportunistic spectrum-sharing, media-access-control protocols in terms of the goodput and delay.

[1]  Marwan Krunz,et al.  Channel access and traffic control for dynamic-spectrum networks with single-transmit, dual-receive radios , 2011, Comput. Commun..

[2]  Beatrice Gralton,et al.  Washington DC - USA , 2008 .

[3]  Yu-Chee Tseng,et al.  A new multi-channel MAC protocol with on-demand channel assignment for multi-hop mobile ad hoc networks , 2000, Proceedings International Symposium on Parallel Architectures, Algorithms and Networks. I-SPAN 2000.

[4]  Maria-Gabriella Di Benedetto,et al.  A Survey on MAC Strategies for Cognitive Radio Networks , 2012, IEEE Communications Surveys & Tutorials.

[5]  Xiaorong Zhu,et al.  Analysis of Cognitive Radio Spectrum Access with Optimal Channel Reservation , 2007, IEEE Communications Letters.

[6]  Hao Nan,et al.  Distributed Coordinated Spectrum Sharing MAC Protocol for Cognitive Radio , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[7]  Hang Su,et al.  Cross-Layer Based Opportunistic MAC Protocols for QoS Provisionings Over Cognitive Radio Wireless Networks , 2008, IEEE Journal on Selected Areas in Communications.

[8]  Danijela Cabric,et al.  White paper: Corvus: A cognitive radio approach for usage of virtual unlicensed spectrum , 2004 .

[9]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[10]  C. Edwards Borderlands of confusion [biometric passports] , 2005 .

[11]  Ping Zhang,et al.  Optimal Cooperative Spectrum Sensing Strategies in Cognitive Radio Networks , 2010, 2010 IEEE 71st Vehicular Technology Conference.

[12]  Kaushik R. Chowdhury,et al.  A survey on MAC protocols for cognitive radio networks , 2009, Ad Hoc Networks.

[13]  S. M. Kamruzzaman,et al.  An Energy-Efficient MAC Protocol for QoS Provisioning in Cognitive Radio Ad Hoc Networks , 2010 .

[14]  Xuemin Shen,et al.  HC-MAC: A Hardware-Constrained Cognitive MAC for Efficient Spectrum Management , 2008, IEEE Journal on Selected Areas in Communications.

[15]  G. Ganesan,et al.  Cooperative spectrum sensing in cognitive radio networks , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[16]  Tobias Renk,et al.  A Cognitive Approach to the Detection of Spectrum Holes in Wireless Networks , 2007, 2007 4th IEEE Consumer Communications and Networking Conference.

[17]  Shilpa Achaliya,et al.  Cognitive radio , 2010 .

[18]  Sheldon M. Ross,et al.  Probability Models for Computer Science , 2001 .

[19]  Robin I-Chun Chiang Feasibility investigation of cognitive radio systems , 2009 .

[20]  Nitin H. Vaidya,et al.  Multi-channel mac for ad hoc networks: handling multi-channel hidden terminals using a single transceiver , 2004, MobiHoc '04.

[21]  Liesbet Van der Perre,et al.  A Distributed Multichannel MAC Protocol for Multihop Cognitive Radio Networks , 2010, IEEE Transactions on Vehicular Technology.

[22]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[23]  Shuguang Cui,et al.  An Optimal Strategy for Cooperative Spectrum Sensing in Cognitive Radio Networks , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[24]  Grant Kleeman Las Vegas, USA , 2014 .