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JSAC
2006

Mathematical Decomposition Techniques for Distributed Cross-Layer Optimization of Data Networks

9 years 1 months ago
Mathematical Decomposition Techniques for Distributed Cross-Layer Optimization of Data Networks
Abstract--Network performance can be increased if the traditionally separated network layers are jointly optimized. Recently, network utility maximization has emerged as a powerful framework for studying such cross-layer issues. In this paper, we review and explain three distinct techniques that can be used to engineer utility-maximizing protocols: primal, dual, and cross decomposition. The techniques suggest layered, but loosely coupled, network architectures and protocols where different resource allocation updates should be run at different time-scales. The decomposition methods are applied to the design of fully distributed protocols for two wireless network technologies: networks with orthogonal channels and network-wide resource constraints, as well as wireless networks where the physical layer uses spatial-reuse time-division multiple access. Numerical examples are included to demonstrate the power of the approach.
Björn Johansson, Pablo Soldati, Mikael Johans
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2006
Where JSAC
Authors Björn Johansson, Pablo Soldati, Mikael Johansson
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