Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Dynamic tuning of the IEEE 802.11 protocol to achieve a theoretical throughput limit
IEEE/ACM Transactions on Networking (TON)
Wireless Communications
Distributed Flow Control and Medium Access in Multihop Ad Hoc Networks
IEEE Transactions on Mobile Computing
Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing
Journal of Parallel and Distributed Computing
Cross-Layer Architecture in Cognitive Ad Hoc Networks
CMC '09 Proceedings of the 2009 WRI International Conference on Communications and Mobile Computing - Volume 02
Optimal flow control for utility-lifetime tradeoff in wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
A distributed opportunistic access scheme and its application to OFDMA systems
IEEE Transactions on Communications
Cross-layer optimized congestion, contention and power control in wireless ad hoc networks
NETWORKING'08 Proceedings of the 7th international IFIP-TC6 networking conference on AdHoc and sensor networks, wireless networks, next generation internet
Cross-Layer Congestion and Contention Control for Wireless Ad Hoc Networks
IEEE Transactions on Wireless Communications
Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency
IEEE Communications Magazine
IEEE Journal on Selected Areas in Communications
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In this paper, by integrating together congestion control, power control and spectrum allocation, a distributed algorithm is developed to maximize the aggregate source utility and increase end-to-end throughput. Despite the inherent difficulties of non-convexity and non-separability of variables in the original optimization problem, we are still able to obtain a decoupled and dual-decomposable convex formulation by applying an appropriate transformation and introducing some new variables. The objective is accomplished by the interaction and coordination among three sub-algorithms of the algorithm through the congestion prices. The convergence properties of the three sub-algorithms are also proved. Simulation results illustrate several other desirable properties of the proposed algorithm, including the impacts of node mobility and path and packet losses on convergence and robustness. This work is a preliminary attempt towards a systematic approach to jointly designing a congestion control sub-algorithm and a power control sub-algorithm coupled with a spectrum allocation sub-algorithm.