NDLI: The optimality of two prices: maximizing revenue in a stochastic communication system

Content Provider	ACM Digital Library
Author	Neely, Michael J. Huang, Longbo
Copyright Year	2010
Abstract	This paper considers the problem of pricing and transmission scheduling for an access point (AP) in a wireless network, where the AP provides service to a set of mobile users. The goal of the AP is to maximize its own time-average profit. We first obtain the optimum time-average profit of the AP and prove the "Optimality of Two Prices" theorem. We then develop an online scheme that jointly solves the pricing and transmission scheduling problem in a dynamic environment. The scheme uses an admission price and a business decision as tools to regulate the incoming traffic and to maximize revenue. We show the scheme can achieve any average profit that is arbitrarily close to the optimum, with a tradeoff in average delay. This holds for general Markovian dynamics for channel and user state variation, and does not require a priori knowledge of the Markov model. The model and methodology developed in this paper are general and apply to other stochastic settings where a single party tries to maximize its time-average profit.
Starting Page	406
Ending Page	419
Page Count	14
File Format	PDF
ISSN	10636692
DOI	10.1109/TNET.2009.2028423
Volume Number	18
Issue Number	2
Journal	IEEE/ACM Transactions on Networking (TON)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-04-01
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Lyapunov analysis Dynamic control Optimization Pricing Queueing Wireless mesh network
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Networks and Communications Software Computer Science Applications

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