Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
Convex Optimization
Fundamentals of wireless communication
Fundamentals of wireless communication
Cooperation in wireless ad hoc networks: a market-based approach
IEEE/ACM Transactions on Networking (TON)
Game Theory for Wireless Engineers (Synthesis Lectures on Communications)
Game Theory for Wireless Engineers (Synthesis Lectures on Communications)
Utility-Optimal Random-Access Control
IEEE Transactions on Wireless Communications
IEEE Communications Magazine
Dynamic power allocation and routing for time-varying wireless networks
IEEE Journal on Selected Areas in Communications
Pricing for enabling forwarding in self-configuring ad hoc networks
IEEE Journal on Selected Areas in Communications
Pricing and revenue sharing strategies for Internet service providers
IEEE Journal on Selected Areas in Communications
Distributed interference compensation for wireless networks
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
IEEE/ACM Transactions on Networking (TON)
International Journal of Communication Systems
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In a multi-hop wireless access network, where each node is an independent self-interested commercial entity, pricing is helpful not only to encourage collaboration but also to utilize the network resources efficiently. In this paper, we propose a market-based model with two-fold pricing (TFP) for wireless access networks. In our model, the relay-pricing is used to encourage nodes to forward packets for other nodes. Each node receives a payment for the relay service that it provides. We also consider interference-pricing to leverage optimal resource allocation. Together, the relay and interference prices incorporate both cooperative and competitive interactions among the nodes. We prove that TFP guarantees positive profit for each individual wireless node for a wide range of pricing functions. The profit increases as the node forwards more packets. Thus, the cooperative nodes are well rewarded. We then determine the relay and interference pricing functions such that the network social welfare and the aggregate network utility are maximized. Simulation results show that, compared to two recently proposed single-fold pricing models, where only the relay or only the interference prices are considered, our proposed TFP scheme significantly increases the total network profit as well as the aggregate network throughput. TFP also leads to more fair revenue sharing among the wireless relay nodes.