Competition in secondary spectrum markets: Price war or market sharing?

Recent initiatives allow cellular providers to offer spot service of their licensed spectrum, paving the way to dynamic secondary spectrum markets. This paper characterizes market outcomes when multiple providers are drawn into competition for secondary demand. We study a game-theoretic model in which each provider aims to enhance its revenue by opportunistically serving secondary demand, while also serving dedicated primary demand. The secondary demand is a function of the price being charged. We consider two philosophies for sharing spectrum between primary and secondary demand: In coordinated access, spectrum providers have the option to decline a secondary access request if that helps enhance their revenue. We explicitly characterize a break-even price such that profitability of secondary access provision is guaranteed if secondary access is priced above the break-even price, regardless of the volume of secondary demand. Consequently, we establish that competition among providers that employ coordinated access leads to a price war. In particular market sharing above the break-even price is not an equilibrium outcome. This conclusion is valid for arbitrary secondary-demand functions. While the demand function does not play a part in determining the winner, it does affect the price of secondary access as exercised by the winning provider. In uncoordinated access, primary and secondary users share spectrum on equal basis, akin to the sharing modality of ISM bands. We demonstrate that market equilibrium in an uncoordinated access setting can be fundamentally different as it opens up the possibility of providers sharing the market at higher prices.

[1]  M. Chatterjee,et al.  An Economic Framework for Dynamic Spectrum Access and Service Pricing , 2009, IEEE/ACM Transactions on Networking.

[2]  A. Jagers,et al.  On the continued Erlang loss function , 1986 .

[3]  Eytan Modiano,et al.  Non-Cooperative Spectrum Access — The Dedicated vs. Free Spectrum Choice , 2011, IEEE Journal on Selected Areas in Communications.

[4]  David Starobinski,et al.  Spot pricing of secondary spectrum access in wireless cellular networks , 2009, TNET.

[5]  A. Harel Sharp bounds and simple approximations for the Erlang delay and loss formulas , 1988 .

[6]  Dusit Niyato,et al.  Competitive Pricing for Spectrum Sharing in Cognitive Radio Networks: Dynamic Game, Inefficiency of Nash Equilibrium, and Collusion , 2008, IEEE Journal on Selected Areas in Communications.

[7]  Peter Key,et al.  Optimal Control and Trunk Reservation in Loss Networks , 1990 .

[8]  B. Zwart,et al.  Gaussian expansions and bounds for the Poisson distribution applied to the Erlang B formula , 2008, Advances in Applied Probability.

[9]  Tansu Alpcan,et al.  Collusion of operators in wireless spectrum markets , 2012, 2012 10th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt).

[10]  Patrick Maillé,et al.  Technological investment games among wireless telecommunications service providers , 2011, Int. J. Netw. Manag..

[11]  Qin-Yu Zhang,et al.  Cooperative and Non-cooperative WSPs in Dynamic Spectrum Leasing , 2011, 2011 Third International Conference on Communications and Mobile Computing.

[12]  Lucas Smith,et al.  Radio Spectrum Policy Group , 2014 .

[13]  John W. Mayo,et al.  Enabling efficient wireless communications: The role of secondary spectrum markets , 2010, Inf. Econ. Policy.

[14]  David Starobinski,et al.  Spot Pricing of Secondary Spectrum Usage in Wireless Cellular Networks , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[15]  R. Vohra,et al.  Spectrum Markets for Wireless Services , 2008, 2008 3rd IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[16]  David Starobinski,et al.  On-line Pricing of Secondary Spectrum Access with Unknown Demand Function and Call Length Distribution , 2010, 2010 Proceedings IEEE INFOCOM.

[17]  Shane Greenstein,et al.  Promoting Efficient Use of Spectrum Through Elimination of Barriers to the Development of Secondary Markets , 2001 .

[18]  John M. Chapin,et al.  COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - The Path to Market Success for Dynamic Spectrum Access Technology , 2007, IEEE Communications Magazine.

[19]  Ian F. Akyildiz,et al.  NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey , 2006, Comput. Networks.

[20]  J. Goodman Note on Existence and Uniqueness of Equilibrium Points for Concave N-Person Games , 1965 .

[21]  Xuemin Hong,et al.  Cognitive radio network management , 2008, IEEE Vehicular Technology Magazine.

[22]  Martin J. Osborne,et al.  An Introduction to Game Theory , 2003 .

[23]  Don Towsley,et al.  Personal & wireless communications: digital technology & standards , 1997, MOCO.

[24]  Mark Bykowsky A secondary market for the trading of spectrum: promoting market liquidity , 2003 .

[25]  Hang Zhou,et al.  The impact of additional unlicensed spectrum on wireless services competition , 2011, 2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).

[26]  Saswati Sarkar,et al.  Spectrum pricing games with arbitrary bandwidth availability probabilities , 2011, 2011 IEEE International Symposium on Information Theory Proceedings.

[27]  Kang G. Shin,et al.  Wi-Fi 2.0: Price and quality competitions of duopoly cognitive radio wireless service providers with time-varying spectrum availability , 2011, 2011 Proceedings IEEE INFOCOM.

[28]  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.

[29]  W. Lieberman The Theory and Practice of Revenue Management , 2005 .

[30]  Jianwei Huang,et al.  Competition with Dynamic Spectrum Leasing , 2010, 2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN).

[31]  N. Mandayam,et al.  Demand responsive pricing and competitive spectrum allocation via a spectrum server , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[32]  William W. Sharkey,et al.  Efficiency gains from using a market approach to spectrum management , 2010, Inf. Econ. Policy.

[33]  Rajarathnam Chandramouli,et al.  Price dynamics in competitive agile spectrum access markets , 2007, IEEE Journal on Selected Areas in Communications.

[34]  Eytan Modiano,et al.  Non-Cooperative Spectrum Access - The Dedicated vs. Free Spectrum Choice , 2012, IEEE J. Sel. Areas Commun..

[35]  Patrick Maillé,et al.  Price war in heterogeneous wireless networks , 2010, Comput. Networks.

[36]  David Starobinski,et al.  Profitability of dynamic spectrum provision for secondary use , 2011, 2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).

[37]  Zhu Han,et al.  Distributive Opportunistic Spectrum Access for Cognitive Radio using Correlated Equilibrium and No-Regret Learning , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[38]  Bruce L. Miller,et al.  A Queueing Reward System with Several Customer Classes , 1969 .

[39]  Janne Riihijarvi,et al.  Towards characterizing primary usage in cellular networks: A traffic-based study , 2011, 2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).