Revenue Maximization in Time-Varying Multi-Hop Wireless Networks: A Dynamic Pricing Approach

In this paper, we study a wireless multi-hop network where multiple flows co-exist and share the network resource collectively. Each flow is associated with a user which has specific requirements on its tradeoff between cost and quality of service. To support heterogeneous transmissions efficiently,...

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Bibliographic Details
Published in:IEEE journal on selected areas in communications 2012-08, Vol.30 (7), p.1237-1245
Main Authors: Song, Yang, Zhang, Chi, Fang, Yuguang, Lin, Phone
Format: Article
Language:English
Subjects:
Delay
Dynamic Pricing
Heuristic algorithms
Multimedia communication
Network Stability
Pricing
Revenue Maximization
Service Differentiation
Spread spectrum communication
Vectors
Wireless networks
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Summary:In this paper, we study a wireless multi-hop network where multiple flows co-exist and share the network resource collectively. Each flow is associated with a user which has specific requirements on its tradeoff between cost and quality of service. To support heterogeneous transmissions efficiently, we propose a quality-aware dynamic pricing algorithm, namely, QADP, which provably maximizes the overall network revenue while maintaining the stability of the network. Our proposed scheme enjoys the merit of self-adaptability due to its online nature.
ISSN:0733-8716
1558-0008
DOI:10.1109/JSAC.2012.120809