Revenue maximization in time-varying multi-hop wireless networks: A dynamic pricing approach

Yang Song; Chi Zhang; Yuguang Fang; Phone Lin

doi:10.1109/JSAC.2012.120809

Revenue maximization in time-varying multi-hop wireless networks: A dynamic pricing approach

Yang Song, Chi Zhang, Yuguang Fang, Phone Lin

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

20 Citations (Scopus)

Abstract

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. © 1983-2012 IEEE.

Original language	English
Article number	6248266
Pages (from-to)	1237-1245
Journal	IEEE Journal on Selected Areas in Communications
Volume	30
Issue number	7
DOIs	https://doi.org/10.1109/JSAC.2012.120809
Publication status	Published - 2012
Externally published	Yes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

Dynamic Pricing
Network Stability
Revenue Maximization
Service Differentiation

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10.1109/JSAC.2012.120809

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abstract = "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. {\textcopyright} 1983-2012 IEEE.",

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AU - Song, Yang

AU - Zhang, Chi

AU - Fang, Yuguang

AU - Lin, Phone

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AB - 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. © 1983-2012 IEEE.

KW - Dynamic Pricing

KW - Network Stability

KW - Revenue Maximization

KW - Service Differentiation

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M3 - RGC 21 - Publication in refereed journal

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JO - IEEE Journal on Selected Areas in Communications

JF - IEEE Journal on Selected Areas in Communications

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ER -

Revenue maximization in time-varying multi-hop wireless networks: A dynamic pricing approach

Abstract

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Research Keywords

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