TY - GEN
T1 - Cross-layer congestion and contention control for wireless ad hoc networks
AU - Yu, Yingqun
AU - Giannakis, Georgios B.
PY - 2006/1/1
Y1 - 2006/1/1
N2 - We consider joint congestion and contention control for multihop wireless ad hoc networks, where the goal is to find optimal end-to-end source rates at the transport layer and per-link persistence probabilities at the medium access control (MAC) layer to maximize the aggregate source utility. The primal formulation of this problem is non-convex and nonseparable. Under certain conditions, by applying appropriate transformations and introducing new variables, we obtain a decoupled and dual-decomposable convex formulation. For general non-logarithmic concave utilities, we develop a novel dualbased distributed algorithm using the subgradient method. For logarithmic utilities, we introduce two modified algorithms: a heuristic one with linearly regularized log rate adjustments and a penalty-based one by adding a quadratic term to the linear objective. For both logarithmic and non-logarithmic utilities, our solutions enjoy the benefits of cross-layer optimization while maintaining the simplicity and modularity of the traditional layered architecture.
AB - We consider joint congestion and contention control for multihop wireless ad hoc networks, where the goal is to find optimal end-to-end source rates at the transport layer and per-link persistence probabilities at the medium access control (MAC) layer to maximize the aggregate source utility. The primal formulation of this problem is non-convex and nonseparable. Under certain conditions, by applying appropriate transformations and introducing new variables, we obtain a decoupled and dual-decomposable convex formulation. For general non-logarithmic concave utilities, we develop a novel dualbased distributed algorithm using the subgradient method. For logarithmic utilities, we introduce two modified algorithms: a heuristic one with linearly regularized log rate adjustments and a penalty-based one by adding a quadratic term to the linear objective. For both logarithmic and non-logarithmic utilities, our solutions enjoy the benefits of cross-layer optimization while maintaining the simplicity and modularity of the traditional layered architecture.
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M3 - Conference contribution
AN - SCOPUS:84940657465
T3 - 44th Annual Allerton Conference on Communication, Control, and Computing 2006
SP - 1194
EP - 1202
BT - 44th Annual Allerton Conference on Communication, Control, and Computing 2006
PB - University of Illinois at Urbana-Champaign, Coordinated Science Laboratory and Department of Computer and Electrical Engineering
T2 - 44th Annual Allerton Conference on Communication, Control, and Computing 2006
Y2 - 27 September 2006 through 29 September 2006
ER -