Demystifying Competition and Cooperation Dynamics of the Aerial mmWave Access Market

Cellular has always relied on static deployments for providing wireless access. However, even the emerging fifth-generation (5G) networks may face difficulty in supporting the increased traffic demand with rigid, fixed infrastructure without substantial over-provisioning. This is particularly true for spontaneous large-scale events that require service providers to augment capacity of their networks quickly. Today, the use of aerial devices equipped with high-rate radio access capabilities has the potential to offer the much needed "on-demand" capacity boost. Conversely, it also threatens to rattle the long-standing business strategies of wireless operators, especially as the "gold rush" for cheaper millimeter wave (mmWave) spectrum lowers the market entry barriers. However, the intricate structure of this new market presently remains a mystery. This paper sheds light on competition and cooperation behavior of dissimilar aerial mmWave access suppliers, concurrently employing licensed and license-exempt frequency bands, by modeling it as a vertically differentiated market where customers have varying preferences in price and quality. To understand viable service provider strategies, we begin with constructing the Nash equilibrium for the initial market competition by employing the Bertrand and Cournot games. We then conduct a unique assessment of short-term market dynamics, where two licensed-band service providers may cooperate to improve their competition positions against the unlicensed-band counterpart intruding the market. Our unprecedented analysis studies the effects of various market interactions, price-driven demand evolution, and dynamic profit balance in this novel type of ecosystem.

[1]  Stefan Parkvall,et al.  Ultra-dense networks in millimeter-wave frequencies , 2015, IEEE Communications Magazine.

[2]  Mehdi Bennis,et al.  Non-cooperative operators in a game-theoretic framework , 2008, 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications.

[3]  S. Tijs,et al.  Game theory and cost allocation problems , 1986 .

[4]  Dusit Niyato,et al.  Dynamics of Network Selection in Heterogeneous Wireless Networks: An Evolutionary Game Approach , 2009, IEEE Transactions on Vehicular Technology.

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

[6]  Theodore S. Rappaport,et al.  Millimeter-Wave Enhanced Local Area Systems: A High-Data-Rate Approach for Future Wireless Networks , 2014, IEEE Journal on Selected Areas in Communications.

[7]  Halim Yanikomeroglu,et al.  The New Frontier in RAN Heterogeneity: Multi-Tier Drone-Cells , 2016, IEEE Communications Magazine.

[8]  Paul R. Milgrom,et al.  Price and Advertising Signals of Product Quality , 1986, Journal of Political Economy.

[9]  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.

[10]  A. Shaked,et al.  Relaxing price competition through product differentiation , 1982 .

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

[12]  Xiang-Gen Xia,et al.  Enabling UAV cellular with millimeter-wave communication: potentials and approaches , 2016, IEEE Communications Magazine.

[13]  Olga Galinina,et al.  Assessing System-Level Energy Efficiency of mmWave-Based Wearable Networks , 2016, IEEE Journal on Selected Areas in Communications.

[14]  C. Weinberg,et al.  Product and Price Competition in a Two-Dimensional Vertical Differentiation Model , 1995 .

[15]  Jacques-François Thisse,et al.  Price competition, quality and income disparities , 1979 .

[16]  Kyungwhoon Cheun,et al.  Mobile's millimeter-wave makeover , 2014, IEEE Spectrum.

[17]  J. Hofbauer,et al.  Evolutionary game dynamics , 2011 .

[18]  Robert J. Wood,et al.  Science, technology and the future of small autonomous drones , 2015, Nature.

[19]  Jaap van de Beek White Paper for Research Beyond 5G , 2015 .

[20]  Tansu Alpcan,et al.  Competition and regulation in a wireless operator market: An evolutionary game perspective , 2012, 2012 6th International Conference on Network Games, Control and Optimization (NetGCooP).

[21]  Jeffrey G. Andrews,et al.  What Will 5G Be? , 2014, IEEE Journal on Selected Areas in Communications.

[22]  Massimo Motta,et al.  Endogenous Quality Choice: Price vs. Quantity Competition , 1993 .

[23]  Walid Saad,et al.  Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs , 2015, IEEE Transactions on Wireless Communications.

[24]  Walid Saad,et al.  Pricing in Heterogeneous Wireless Networks: Hierarchical Games and Dynamics , 2014, IEEE Transactions on Wireless Communications.

[25]  R. Kihlstrom,et al.  Advertising as a Signal , 1984, Journal of Political Economy.

[26]  Jörgen W. Weibull,et al.  Evolutionary Game Theory , 1996 .

[27]  Maria Rita Palattella,et al.  Internet of Things in the 5G Era: Enablers, Architecture, and Business Models , 2016, IEEE Journal on Selected Areas in Communications.

[28]  Theodore S. Rappaport,et al.  Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges , 2014, Proceedings of the IEEE.

[29]  Dusit Niyato,et al.  Pricing, Spectrum Sharing, and Service Selection in Two-Tier Small Cell Networks: A Hierarchical Dynamic Game Approach , 2014, IEEE Transactions on Mobile Computing.

[30]  K. Lancaster The Economics of Product Variety: A Survey , 1990 .

[31]  William H. Sandholm,et al.  Pairwise Comparison Dynamics and Evolutionary Foundations for Nash Equilibrium , 2009, Games.

[32]  Antonio Iera,et al.  Enhancing the navigability in a social network of smart objects: A Shapley-value based approach , 2016, Comput. Networks.

[33]  D. M. V. Hesteren Evolutionary Game Theory , 2017 .

[34]  Olga Galinina,et al.  5G Multi-RAT LTE-WiFi Ultra-Dense Small Cells: Performance Dynamics, Architecture, and Trends , 2015, IEEE Journal on Selected Areas in Communications.

[35]  Avinash Dixit,et al.  Quality and Quantity Competition , 1977 .