Dynamic Pricing of Wireless Internet Based on Usage and Stochastically Changing Capacity

Published Online:https://doi.org/10.1287/msom.2018.0727

References

  • Aktaran-Kalayci T, Ayhan H (2009) Sensitivity of optimal prices to system parameters in a steady-state service facility. Eur. J. Oper. Res. 193(1):120–128.CrossrefGoogle Scholar
  • Altman E, Jimenez T, Koole G (2001) On optimal call admission control. IEEE Trans. Comm. 49(9):1659–1668.CrossrefGoogle Scholar
  • Beltran F, Ray SK, Gutierrez JA (2016) Understanding the current operation and future roles of wireless networks: Co-existence, competition and co-operation in the unlicensed spectrum bands. IEEE J. Selected Areas Comm. 34(11):2829–2837.CrossrefGoogle Scholar
  • Bhattarai S, Park J-M, Gao B, Bian K, Lehr W (2016) An overview of dynamic spectrum sharing: Ongoing initiatives, challenges, and a roadmap for future research. IEEE Trans. Cognitive Comm. Networking 2(2):110–128.CrossrefGoogle Scholar
  • Bitran G, Caldentey R (2003) An overview of pricing models for revenue management. Manufacturing Service Oper. Management 5(3):203–229.LinkGoogle Scholar
  • Cachon GP, Daniels KM, Lobel R (2017) The role of surge pricing on a service platform with self-scheduling capacity. Manufacturing Service Oper. Management 19(3):368–384.LinkGoogle Scholar
  • Carrizosa E, Conde E, Munoz-Marquez M (1998) Admission policies in loss queueing models with heterogeneous arrivals. Management Sci. 44(3):311–320.LinkGoogle Scholar
  • Chang C-H, Lin P, Zhang J, Jeng J-Y (2015) Time dependent adaptive pricing for mobile Internet access. IEEE Conf. Comput. Comm. Workshops (INFOCOM WKSHPS) 2015 (IEEE, New York), 540–545.CrossrefGoogle Scholar
  • Chen BX (2012) Carriers warn of crisis in mobile spectrum. New York Times (April 17), http://www.nytimes.com/2012/04/18/technology/mobile-carriers-warn-of-spectrum-crisis-others-see-hyperbole.html.Google Scholar
  • Cil EB, Örmeci EL, Karaesmen F (2009) Effects of system parameters on the optimal policy structure in a class of queueing control problems. Queueing Systems 61(4):273–304.CrossrefGoogle Scholar
  • Cisco Visual Networking Index (2016) Global mobile data traffic forecast update, 2016–2021. White paper, Cisco, San Jose, CA.Google Scholar
  • Federal Communications Commission (2002) FCC spectrum policy task force: Report of the spectrum efficiency working group. Report, FCC, Washington, DC.Google Scholar
  • Federal Communications Commission (2010) Second memorandum opinion and order. Report, FCC, Washington, DC.Google Scholar
  • Federal Communications Commission (2015) Amendment of the commission’s rules with regard to commercial operations in the 3550-3650 MHz band. Report, FCC, Washington, DC.Google Scholar
  • Gans N, Savin S (2007) Pricing and capacity rationing for rentals with uncertain durations. Management Sci. 53(3):390–407.LinkGoogle Scholar
  • Gayon J-P, Talay-Deḡirmenci I, Karaesmen F, Örmeci L (2009) Optimal pricing and production policies of a make-to-stock system with fluctuating demand. Probability Engrg. Inform. Sci. 23(2):205–230.CrossrefGoogle Scholar
  • Gurvich I, Lariviere M, Moreno-Garcia A (2017) Operations in the on-demand economy: Staffing services with self-scheduling capacity. Working paper, Northwestern University, Evanston, IL.Google Scholar
  • Harrison K, Mishra SM, Sahai A (2010) How much white-space capacity is there? Proc. IEEE Sympos. New Frontiers Dynamic Spectrum 2010 (IEEE, New York), 1–10.Google Scholar
  • Huang H-S, Hu S-C, Lee P-H, Tseng Y-C (2016) An adaptive Paris metro pricing scheme for mobile data networks. Internat. J. Network Management 26(6):422–434.CrossrefGoogle Scholar
  • Ibrahim R (2017) Managing queueing systems where capacity is random and customers are impatient. Production Oper. Management 27(2):234–250.Google Scholar
  • Lippman S (1975) Applying a new device in the optimization of exponential queueing systems. Oper. Res. 23(4):687–710.LinkGoogle Scholar
  • Miller BL (1969) A queueing reward system with several customer classes. Management Sci. 16(3):234–245.LinkGoogle Scholar
  • Mutlu H, Alanyali M, Starobinski D (2009) Spot pricing of secondary spectrum access in wireless cellular networks. IEEE/ACM Trans. Networking 17(6):1794–1804.CrossrefGoogle Scholar
  • Örmeci EL, Burnetas A (2004) Admission control with batch arrivals. Oper. Res. Lett. 32(5):448–454.CrossrefGoogle Scholar
  • Paschalidis IC, Tsitsiklis JN (2000) Congestion-dependent pricing of network services. IEEE/ACM Trans. Networking 8(2):171–184.CrossrefGoogle Scholar
  • Puterman ML (1994) Markov Decision Processes (Wiley, New York).CrossrefGoogle Scholar
  • Ross KW, Tsang DHK (1989) The stochastic knapsack problem. IEEE Trans. Comm. 37(7):740–747.CrossrefGoogle Scholar
  • Tsai Y-C, Cheng Y-D, Wu C-W, Lai Y-T, Hu W-H, Jeng J-Y, Tseng Y-C (2017) Time-dependent smart data pricing based on machine learning. Mouhoub M, Langlais P, eds. Canadian Conf. Artificial Intelligence (Springer, New York), 103–108.CrossrefGoogle Scholar
  • Turhan A, Alanyali M, Starobinski D (2012) Optimal admission control of secondary users in preemptive cognitive radio networks. Proc. 10th Internat. Sympos. Modeling Optim. Mobile, Ad Hoc, Wireless Networks (WiOpt) (IEEE, New York), 138–144.Google Scholar
  • Ulukus MY, Güllü R, Örmeci L (2011) Admission and termination control of a two-class loss system. Stocastic Models 27(1):2–25.CrossrefGoogle Scholar
  • Yahav I, Karaesmen I, Raschid L (2013) Managing on-demand computing services with heterogeneous customers. Proc. 2013 Winter Simulation Conf. (IEEE, New York), 5–16.CrossrefGoogle Scholar
  • Zhang X, Knightly EW (2015) Watch: WiFi in active TV channels. Proc. ACM MobiHoc (ACM, New York), 7–16.CrossrefGoogle Scholar
  • Zhang L, Wu W, Wang D (2014) Time dependent pricing in wireless data networks: Flat-rate vs. usage-based schemes. Proc. IEEE INFOCOM 2014 (IEEE, New York), 700–708.CrossrefGoogle Scholar
  • Zhang R, Wang M, Cai CX, Zheng Z, Shen X, Xie LL (2015) LTE-unlicensed: The future of spectrum aggregation for cellular networks. IEEE Wireless Comm. 22(3):3:150–159.CrossrefGoogle Scholar
  • Zhao Z, Weber S, de Oliveira JC (2010) Admission control and preemption policy design of multi-class computer networks. Proc. 44th Conf. Inform. Sci. Systems (CISS) (IEEE, New York), 1–6.CrossrefGoogle Scholar
  • Zhao Z, Vuran MC, Batur D, Ekici E (2014) Ratings for spectrum: Impacts of TV viewership on TV whitespace. Proc. IEEE Globecom 2014 (IEEE, New York), 941–947.CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.