Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
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Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
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ASSET '99 Proceedings of the 1999 IEEE Symposium on Application - Specific Systems and Software Engineering and Technology
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IEEE/ACM Transactions on Networking (TON)
Convex Optimization
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IEEE Transactions on Mobile Computing
Capacity regions for wireless ad hoc networks
IEEE Transactions on Wireless Communications
Cross-layer optimization of wireless networks using nonlinear column generation
IEEE Transactions on Wireless Communications
IEEE Journal on Selected Areas in Communications
Modeling and computing throughput capacity of wireless multihop networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Distributed network utility maximization in wireless networks with a bounded number of paths
Proceedings of the 3nd ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Joint resource allocation and admission control in wireless mesh networks
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Utility-based scheduling with non-deterministic fading channels in wireless multi-hop networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A cyclic MAC scheduler for collecting data from heterogeneous sensors
Computer Communications
Utility-based scheduling in wireless multi-hop networks over non-deterministic fading channels
Computer Networks: The International Journal of Computer and Telecommunications Networking
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We consider the problem of designing distributed mechanisms for joint congestion control and resource allocation in spatial-reuse TDMA wireless networks. The design problem is posed as a utility maximization subject to link rate constraints that involve both power allocation and transmission scheduling over multiple time-slots. Starting from the performance limits of a centralized optimization based on global network information,we proceed systematically in the development of distributed and transparent protocols. In the process,we introduce a novel decomposition method for convex optimization,establish its convergence for the utility maximization problem and demonstrate how it suggests a distributed solution based on flow control optimization and incremental updates of the transmission schedule.We develop a two-step procedure for finding the schedule updates and suggest two schemes for distributed channel reservation and power control under realistic interference models. Although the final protocols are suboptimal,we isolate and quantify the performance losses incurred by each simplification and demonstrate strong performance in examples.