Demand and pricing effects on the radio resource allocation of multimedia communication systems

Over the years, radio resource management has been benchmarked mostly by its technical merits. A service provider, however, must also reckon with economics. When the financial needs of the provider and the satisfaction of the users are considered, common objectives in radio resource management, like maximising throughput or meeting various quality constraints, may no longer be sufficient. We analyse next generation communication systems by including models of economics, which have been presented in the literature, and reasonable considerations to depict the users/provider relationship in a generalised multimedia environment. In particular, we develop a model of users' satisfaction, in which both requested quality of service and price paid are taken into account. The model enables us to investigate how resource allocation dynamics affect operator revenues and to derive some useful insights. Radio resource management can be shown to be highly dependent on economic considerations. The provider's task to determine the best usage of the network capacity is heavily affected by the users' service demand and their reactions to the pricing policy. Thus, the economic scenario needs to be taken into account to exploit the constrained radio resource efficiently. The model is applied to a CDMA cellular system.

[1]  Roberto Battiti,et al.  Price-based Congestion-Control in Wi-Fi Hot Spots , 2003 .

[2]  Prathima Agrawal,et al.  Admission and flow control for multimedia CDMA , 2000, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532).

[3]  Giuseppe Bianchi,et al.  On utility-fair adaptive services in wireless networks , 1998, 1998 Sixth International Workshop on Quality of Service (IWQoS'98) (Cat. No.98EX136).

[4]  Michael L. Honig,et al.  Forward-link resource allocation for a two-cell voice network with multiple service classes , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[5]  H. Varian Intermediate Microeconomics: A Modern Approach , 1987 .

[6]  Costas Courcoubetis,et al.  A study of simple usage-based charging schemes for broadband networks , 1998 .

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

[8]  Frank Kelly,et al.  Rate control for communication networks: shadow prices, proportional fairness and stability , 1998, J. Oper. Res. Soc..

[9]  Deborah Estrin,et al.  Pricing in Computer Networks: Reshaping the Research Agenda , 2020, The Internet and Telecommunications Policy.

[10]  Catherine Rosenberg,et al.  A game theoretic framework for bandwidth allocation and pricing in broadband networks , 2000, TNET.

[11]  METHODS FOR SUBJECTIVE DETERMINATION OF TRANSMISSION QUALITY Summary , 2022 .

[12]  Vasilios A. Siris,et al.  Resource control for elastic traffic in CDMA networks , 2002, MobiCom '02.

[13]  ShenkerS.,et al.  Pricing in computer networks , 1996 .

[14]  Leonardo Badia,et al.  An economic model for the radio resource management in multimedia wireless systems , 2004, Comput. Commun..

[15]  Ness B. Shroff,et al.  Utility-based power control in cellular wireless systems , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).