Auction Based Spectrum Trading for Cognitive Radio Networks

In this letter, we consider the shared used model in cognitive radio networks and design a spectrum trading method to maximize the total satisfaction of the Secondary Users (SUs) and revenue of the Wireless Service Provider (WSP). In our design, we consider the risk of imperfect spectrum sensing which causes the SUs miss the presence of licensed users and interfere with them. Taking into account this risk, we first propose a multi-unit sequential sealed-bid first-price auction to optimize the payoff of each SU. Then, we derive an expression for the total revenue of WSP and maximize it by optimizing the sensing time. Our results demonstrate that the proposed auction-based spectrum trading method brings better revenue than its counterparts.

[1]  Yonghong Zeng,et al.  Optimization of Cooperative Sensing in Cognitive Radio Networks: A Sensing-Throughput Tradeoff View , 2009, IEEE Transactions on Vehicular Technology.

[2]  Yonghong Zeng,et al.  Sensing-Throughput Tradeoff for Cognitive Radio Networks , 2008, IEEE Trans. Wirel. Commun..

[3]  M.M. Buddhikot,et al.  Understanding Dynamic Spectrum Access: Models,Taxonomy and Challenges , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[4]  Abbas Jamalipour,et al.  Spectrum management in cognitive radio: Applications of portfolio theory in wireless communications , 2011, IEEE Wireless Communications.

[5]  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.

[6]  Shamik Sengupta,et al.  Designing Auction Mechanisms for Dynamic Spectrum Access , 2008, Mob. Networks Appl..

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

[8]  Rong Zheng,et al.  Repeated Auctions with Bayesian Nonparametric Learning for Spectrum Access in Cognitive Radio Networks , 2011, IEEE Transactions on Wireless Communications.

[9]  Hanna Bogucka,et al.  Secondary spectrum trading in TV white spaces , 2012, IEEE Communications Magazine.

[10]  Ekram Hossain,et al.  Dynamic Spectrum Access and Management in Cognitive Radio Networks: Introduction , 2009 .

[11]  Zhu Han,et al.  Dynamic Spectrum Access and Management in Cognitive Radio Networks: References , 2009 .

[12]  Zhu Han,et al.  Dynamic spectrum access in IEEE 802.22- based cognitive wireless networks: a game theoretic model for competitive spectrum bidding and pricing , 2009, IEEE Wireless Communications.