Stochastic Traffic Engineering in Multihop Cognitive Wireless Mesh Networks
IEEE Transactions on Mobile Computing
Utility maximization for delay constrained QoS in wireless
INFOCOM'10 Proceedings of the 29th conference on Information communications
IEEE Transactions on Communications
Stabilization of max-min fair networks without per-flow state
Theoretical Computer Science
On the design of algorithms for mobile multimedia systems: A survey
International Journal of Communication Systems
Journal of Parallel and Distributed Computing
The Impact of Stochastic Noisy Feedback on Distributed Network Utility Maximization
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Cognitive Wireless Mesh Networks with Dynamic Spectrum Access
IEEE Journal on Selected Areas in Communications
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Control message delay is a major factor affecting distributed network utility maximization (NUM) in practical wireless mesh networks, and the inherent delay of the control response leads to severe oscillations and slow convergence. However, existing NUM techniques either fail to pay attention to the convergence rate or achieve suboptimal results. This paper proposes a novel technique to solve the reverse impact of inherent control delay in the distributed NUM of wireless mesh networks with noisy feedback by overcoming the slow convergence induced by control delay in conjunction with feedback noise. A self-tuning algorithm reduces the number of required iterations for convergence while also providing an optimum value in distributed networks, and substantive simulations prove this improved convergence performance within a distributed multi-hop wireless mesh network. A theoretical explanation built from the viewpoint of control theory is also put forward to describe the model.