Duopoly price competition in secondary spectrum markets

In this paper, we consider the problem of spectrum sharing in a Cognitive Radio Network (CRN) with spectrum holder, two secondary operators and secondary users (SUs). In the system model under consideration, the spectrum allocated to the two secondary operators can be shared by SUs, which means that secondary operators buy spectrum from spectrum holder and then sell spectrum access service to SUs. We model the relationship between secondary operators and SUs as a two-stage stackelberg game, where secondary operators make spectrum channel quality and price decisions in the first stage, and then the SUs make their spectrum demands decisions. The backward induction method is employed to solve the stackelberg game. Numerical results are performed to evaluate our analysis.

[1]  Dusit Niyato,et al.  A game theoretic analysis of service competition and pricing in heterogeneous wireless access networks , 2008, IEEE Transactions on Wireless Communications.

[2]  Shaolei Ren,et al.  Entry and Spectrum Sharing Scheme Selection in Femtocell Communications Markets , 2013, IEEE/ACM Transactions on Networking.

[3]  K. J. Ray Liu,et al.  Cognitive Radio Networks With Heterogeneous Users: How to Procure and Price the Spectrum? , 2015, IEEE Transactions on Wireless Communications.

[4]  Jianwei Huang,et al.  Investment and Pricing with Spectrum Uncertainty: A Cognitive Operator's Perspective , 2009, IEEE Transactions on Mobile Computing.

[5]  Li Wang,et al.  Preference-Based Spectrum Pricing in Dynamic Spectrum Access Networks , 2018, IEEE Transactions on Services Computing.

[6]  Zhu Han,et al.  Joint Pricing and Load Balancing for Cognitive Spectrum Access: Non-Cooperation Versus Cooperation , 2015, IEEE Journal on Selected Areas in Communications.

[7]  Zhu Han,et al.  Game Theory in Wireless and Communication Networks: Theory, Models, and Applications , 2011 .

[8]  Yoshiaki Tanaka,et al.  Duopoly Competition in Time-Dependent Pricing for Improving Revenue of Network Service Providers , 2013, IEICE Trans. Commun..

[9]  Choong Seon Hong,et al.  Optimal Pricing Effect on Equilibrium Behaviors of Delay-Sensitive Users in Cognitive Radio Networks , 2012, IEEE Journal on Selected Areas in Communications.

[10]  Insoo Koo,et al.  Efficient Selection of Users' Pair in Cognitive Radio Network to Maximize Throughput Using Simultaneous Transmit-Sense Approach , 2017, IEICE Trans. Commun..

[11]  Drew Fudenberg,et al.  Game theory (3. pr.) , 1991 .

[12]  Eitan Altman,et al.  Joint Operator Pricing and Network Selection Game in Cognitive Radio Networks: Equilibrium, System Dynamics and Price of Anarchy , 2013, IEEE Transactions on Vehicular Technology.

[13]  Takashi Watanabe,et al.  A Spectrum Sharing Method Based on Users' Behavior and Providers' Profit , 2017, IEICE Trans. Commun..

[14]  Jianwei Huang,et al.  Duopoly Competition in Dynamic Spectrum Leasing and Pricing , 2012, IEEE Transactions on Mobile Computing.