Maximizing Rendezvous Diversity in Rendezvous Protocols for Decentralized Cognitive Radio Networks

In decentralized cognitive radio (CR) networks, establishing a link between a pair of communicating nodes requires that the radios "rendezvous” in a common channel-such a channel is called a rendezvous channel-to exchange control information. When unlicensed (secondary) users opportunistically share spectrum with licensed (primary or incumbent) users, a given rendezvous channel may become unavailable due to the appearance of licensed user signals. Ideally, every node pair should be able to rendezvous in every available channel (i.e., maximize the rendezvous diversity) so that the possibility of rendezvous failures is minimized. Channel hopping (CH) protocols have been proposed previously for establishing pairwise rendezvous. Some of them enable pairwise rendezvous over all channels but require global clock synchronization, which may be very difficult to achieve in decentralized networks. Maximizing the pairwise rendezvous diversity in decentralized CR networks is a very challenging problem. In this paper, we present a systematic approach for designing CH protocols that maximize the rendezvous diversity of any node pair in decentralized CR networks. The resulting protocols are resistant to rendezvous failures caused by the appearance of primary user (PU) signals and do not require clock synchronization. The proposed approach, called asynchronous channel hopping (ACH), has two noteworthy features: 1) any pair of CH nodes are able to rendezvous on every channel so that the rendezvous process is robust to disruptions caused by the appearance of PU signals; and 2) an upper bounded time-to-rendezvous (TTR) is guaranteed between the two nodes even if their clocks are asynchronous. We propose two optimal ACH designs that maximize the rendezvous diversity between any pair of nodes and show their rendezvous performance via analytical and simulation results.

[1]  Kaigui Bian,et al.  A quorum-based framework for establishing control channels in dynamic spectrum access networks , 2009, MobiCom '09.

[2]  Allen B. MacKenzie,et al.  Smart radio: spectrum access for first responders , 2008, SPIE Defense + Commercial Sensing.

[3]  Sisi Liu,et al.  Mitigating control-channel jamming attacks in multi-channel ad hoc networks , 2009, WiSec '09.

[4]  Luiz A. DaSilva,et al.  Rendezvous for Cognitive Radios , 2011, IEEE Transactions on Mobile Computing.

[5]  P. Bahl,et al.  SSCH: slotted seeded channel hopping for capacity improvement in IEEE 802.11 ad-hoc wireless networks , 2004, MobiCom '04.

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

[7]  Ray Jain,et al.  The art of computer systems performance analysis - techniques for experimental design, measurement, simulation, and modeling , 1991, Wiley professional computing.

[8]  Yu-Chee Tseng,et al.  Quorum-Based Asynchronous Power-Saving Protocols for IEEE 802.11 Ad Hoc Networks , 2005, Mob. Networks Appl..

[9]  Kaigui Bian,et al.  Control Channel Establishment in Cognitive Radio Networks using Channel Hopping , 2011, IEEE Journal on Selected Areas in Communications.

[10]  Dirk Grunwald,et al.  Dynamic Control Channel Assignment in Cognitive Radio Networks Using Swarm Intelligence , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[11]  J. J. Garcia-Luna-Aceves,et al.  Channel-hopping multiple access , 2000, 2000 IEEE International Conference on Communications. ICC 2000. Global Convergence Through Communications. Conference Record.

[12]  Jean Walrand,et al.  McMAC: A Multi-Channel MAC Proposal for Ad-Hoc Wireless Networks , 2005 .

[13]  S. Venkatesan,et al.  An Asynchronous Neighbor Discovery Algorithm for Cognitive Radio Networks , 2008, 2008 3rd IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[14]  Michele Zorzi,et al.  Multi-channel medium access using a virtual network coded control channel , 2009, IWCMC.

[15]  W. Whitt The efficiency of one long run versus independent replication in steady-state simulation , 1991 .

[16]  C. Cordeiro,et al.  C-MAC: A Cognitive MAC Protocol for Multi-Channel Wireless Networks , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[17]  Ian F. Akyildiz,et al.  Efficient Recovery Control Channel Design in Cognitive Radio Ad Hoc Networks , 2010, IEEE Transactions on Vehicular Technology.

[18]  Michele Zorzi,et al.  A distributed network coded control channel for multihop cognitive radio networks , 2009, IEEE Network.

[19]  Srdjan Capkun,et al.  Jamming-resistant Key Establishment using Uncoordinated Frequency Hopping , 2008, 2008 IEEE Symposium on Security and Privacy (sp 2008).

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

[21]  Tien-Tsin Wong,et al.  Two new quorum based algorithms for distributed mutual exclusion , 1997, Proceedings of 17th International Conference on Distributed Computing Systems.

[22]  Kaigui Bian,et al.  Asynchronous channel hopping for establishing rendezvous in cognitive radio networks , 2011, 2011 Proceedings IEEE INFOCOM.

[23]  Jun Zhao,et al.  Distributed coordination in dynamic spectrum allocation networks , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[24]  Yasir Saleem,et al.  Network Simulator NS-2 , 2015 .

[25]  Tao Chen,et al.  CogMesh: A Cluster-Based Cognitive Radio Network , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[26]  L.A. DaSilva,et al.  Sequence-Based Rendezvous for Dynamic Spectrum Access , 2008, 2008 3rd IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[27]  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.

[28]  Srdjan Capkun,et al.  Anti-jamming broadcast communication using uncoordinated spread spectrum techniques , 2010, IEEE Journal on Selected Areas in Communications.

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

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