Improving local and collaborative spectrum sensing in cognitive networks through the implementation of cognitive collaborators

The shortage of spectrum coupled with overcrowding of unlicensed and the underutilization of licensed spectrum has led to the development of cognitive networks. Cognitive radios sense spectrum holes in licensed spectrum and utilize them when they are idle. This approach presents a number of design challenges at the MAC layer. Besides performing legacy functions, Cognitive MAC protocols coordinate spectrum sensing, spectrum decision, spectrum access and facilitate spectrum sharing between secondary (SU) and primary users (PU). Furthermore they optimize the sensing and transmission times, coordinate local and collaborative sensing. In an infrastructure-less cognitive network, nodes are expected to collaborate in spectrum sensing, to share sensing information before accessing the available spectrum, which is a challenge. To address these challenges, we propose the implementation of a cognitive collaborators scheme to coordinate local and collaborative sensing. The cognitive collaborators are equipped with two dedicated radios. One radio coordinates local and collaborative sensing and the other is employed for communication purposes. We also demonstrate through game theory technique how the use of white spaces can be optimized.

[1]  Ian F. Akyildiz,et al.  CRAHNs: Cognitive radio ad hoc networks , 2009, Ad Hoc Networks.

[2]  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.

[3]  Erik G. Larsson,et al.  Linköping University Post Print Optimal and Sub-optimal Spectrum Sensing of Ofdm Signals in Known and Unknown Noise Variance Optimal and Sub-optimal Spectrum Sensing of Ofdm Signals in Known and Unknown Noise Variance , 2022 .

[4]  S. Sitharama Iyengar,et al.  A Novel Robust Detection Algorithm for Spectrum Sensing , 2011, IEEE Journal on Selected Areas in Communications.

[5]  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.

[6]  Hou-Shin Chen,et al.  Spectrum Sensing for TV White Space in North America , 2011, IEEE Journal on Selected Areas in Communications.

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

[8]  Amitabha Das,et al.  A survey on MAC protocols in OSA networks , 2009, Comput. Networks.

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

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

[11]  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..

[12]  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.

[13]  Zhu Han,et al.  Collaborative Spectrum Sensing from Sparse Observations in Cognitive Radio Networks , 2010, IEEE Journal on Selected Areas in Communications.

[14]  L. Ma,et al.  Dynamic open spectrum sharing MAC protocol for wireless ad hoc networks , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

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