The Mathematics of Internet Congestion Control (Systems and Control: Foundations and Applications)
The Mathematics of Internet Congestion Control (Systems and Control: Foundations and Applications)
Link-level measurements from an 802.11b mesh network
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Maximizing Queueing Network Utility Subject to Stability: Greedy Primal-Dual Algorithm
Queueing Systems: Theory and Applications
Distributed link scheduling with constant overhead
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Fairness and optimal stochastic control for heterogeneous networks
IEEE/ACM Transactions on Networking (TON)
Low-complexity distributed scheduling algorithms for wireless networks
IEEE/ACM Transactions on Networking (TON)
Energy optimal control for time-varying wireless networks
IEEE Transactions on Information Theory
A tutorial on cross-layer optimization in wireless networks
IEEE Journal on Selected Areas in Communications
Joint congestion control, routing, and MAC for stability and fairness in wireless networks
IEEE Journal on Selected Areas in Communications
MCR: MAC-assisted congestion-controlled routing for wireless multihop networks
Wireless Communications & Mobile Computing
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In this paper, we consider the joint scheduling, routing and congestion control mechanism in [4] while incorporating a comprehensive physical layer model that considers both primary half-duplex constraints and the power-SINR-rate relation, and heterogeneous nodal power budgets. We consider a cross-layer scheme comprising of a primal-dual congestion controller and an energy aware back-pressure (EABP) scheduler that decides routing, scheduling, power and link rate selection based on the queue length information as well as an excess energy consumption state at each node. The handling of nodal power constraints in our scheme is essentially the same as that in [9] and [6]. For completeness, we provide a self-contained proof that the cross-layer scheme asymptotically achieves optimal fair allocation of the network resources. Then this scheme is used to motivate the design of a scalable and implementable distributed slow time-scale (DSTS) power control algorithm, which can be combined with rate adaptation and known distributed link scheduling algorithms to approximate the centralized EABP scheduler. In this way, we provide a candidate solution to complete the network utility maximization (NUM) based protocol stack for multi-hop wireless networks. We provide simulation results that show what are potential performance gains.