On Controlling Spectrum Fragility via Resource Pricing in 5G Wireless Networks

This letter presents a novel resource management and control framework in order to address the spectrum fragility in fifth generation wireless networks, supporting both licensed and unlicensed band access. In particular, we treat unlicensed band as a common pool of resources (CPR) susceptible to collapse if overexploited, and investigate the concept of pricing users’ power investment in the unlicensed band, in order to control spectrum fragility. User risk perceptions under probabilistic uncertainty are modeled via prospect theory and the tragedy of the commons. The corresponding problem is confronted as a Fragile CPR game with pricing, and convergence to Nash equilibrium is obtained through S-modular game theory. The impact of pricing on spectrum fragility and overall network performance, is evaluated via modeling and simulation.

[1]  A.R. Sharafat,et al.  Pareto-Efficient and Goal-Driven Power Control in Wireless Networks: A Game-Theoretic Approach With a Novel Pricing Scheme , 2009, IEEE/ACM Transactions on Networking.

[2]  Symeon Papavassiliou,et al.  Personalized Pricing for Efficient User-Centric Multi-Resource Control in 5G Wireless Networks , 2018, 2018 IEEE 19th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM).

[3]  G. Hardin,et al.  The Tragedy of the Commons , 1968, Green Planet Blues.

[4]  Minho Jo,et al.  Comprehensive Spectrum Management for Heterogeneous Networks in LTE-U , 2016, IEEE Wireless Communications.

[5]  Sundeep Rangan,et al.  Understanding Noise and Interference Regimes in 5G Millimeter-Wave Cellular Networks , 2016, ArXiv.

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

[7]  Xuemin Shen,et al.  Beyond Coexistence: Traffic Steering in LTE Networks with Unlicensed Bands , 2016, IEEE Wireless Communications.

[8]  Cem U. Saraydar,et al.  Efficient power control via pricing in wireless data networks , 2002, IEEE Trans. Commun..

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

[10]  Zhongming Zheng,et al.  LTE-unlicensed: the future of spectrum aggregation for cellular networks , 2015, IEEE Wireless Communications.

[11]  A. Tversky,et al.  Prospect theory: an analysis of decision under risk — Source link , 2007 .

[12]  Shreyas Sundaram,et al.  Fragility of the commons under prospect-theoretic risk attitudes , 2014, Games Econ. Behav..

[13]  Shreyas Sundaram,et al.  Controlling human utilization of shared resources via taxes , 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

[14]  Symeon Papavassiliou,et al.  Dynamic Spectrum Management in 5G Wireless Networks: A Real-Life Modeling Approach , 2019, IEEE INFOCOM 2019 - IEEE Conference on Computer Communications.

[15]  Michal Szydelko,et al.  A unified traffic steering framework for LTE radio access network coordination , 2016, IEEE Communications Magazine.