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

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4 Author(s)
Yang Song ; IBM Res., Hawthorne, NY, USA ; Chi Zhang ; Yuguang Fang ; Phone Lin

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.

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Selected Areas in Communications, IEEE Journal on  (Volume:30 ,  Issue: 7 )