Title :
Revenue-maximizing pricing and capacity expansion in a many-users regime
Author :
Basar, Tamer ; Srikant, R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Abstract :
We consider a network where each user is charged a fixed price per unit of bandwidth used, but where there is no congestion-dependent pricing. However, the transmission rate of each user is assumed to be a function of network congestion (like TCP), and the price per unit bandwidth. We are interested in answering the following question: how should the network choose the price to maximize its overall revenue? To obtain a tractable solution, we consider a single link accessed by many users where the capacity is increased in proportion to the number of users. We show the following result: as the number of users increases, the optimal price per unit bandwidth charged by the service provider may increase or decrease depending upon the bandwidth of the link. However, for all values of the link capacity, the service provider´s revenue per unit bandwidth increases and the overall performance of each user (measured in terms of a function of its throughput, the network congestion and the cost incurred by the user for bandwidth usage) improves. Since the revenue per unit bandwidth increases, it provides an incentive for the service provider to increase the available bandwidth in proportion to the number of users.
Keywords :
channel capacity; costing; delays; game theory; optimisation; queueing theory; tariffs; telecommunication congestion control; telecommunication links; telecommunication network routing; transport protocols; Stackelberg game; TCP; active queue management; bandwidth usage; capacity expansion; congestion controllers; fixed price per bandwidth unit; link bandwidth; link capacity; low-queueing-delay network design; many-users regime; network congestion; noncooperative flow control game; optimal price per unit bandwidth; revenue per unit bandwidth; revenue-maximizing pricing; service provider; single link; throughput; transmission rate; Bandwidth; Capacity planning; Cost function; Feedback; Intelligent networks; Pricing; Protocols; Quality of service; Resource management; Throughput;
Conference_Titel :
INFOCOM 2002. Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE
Print_ISBN :
0-7803-7476-2
DOI :
10.1109/INFCOM.2002.1019271