Accelerating a dual algorithm for the simultaneous routing and power control problem
Accelerating a dual algorithm for the simultaneous routing and power control problem
Efficiently transmitting data in wireless networks requires an integrated routing and radio resource allocation strategy. An initial observation that suggest dual decomposition to be a worthwhile approach is that the network flow variables for routing and the communication variables for resource allocation are only coupled through link capacities. With dual decomposition we split routing and resource allocation up in two separate subproblems and coordinate the solutions by solving a master dual problem. In this paper, we suggest to solve the master dual problem iteratively by using Aitken's method for an update of the dual variables. In contrast to former proposed subgradient methods, we accelerate the iteration process for achieving an optimum solution. This results in significant less complexity, but still facilitating distributed implementation. Beside describing the application of Aitken's method to simultaneous routing and resource allocation we also give necessary conditions for optimality, and show results for data transmission in a wireless mesh network being optimized in a proportional fair manner.
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Hodgskiss, Joe
bd0d92b9-6276-4cd4-97eb-7d92a591db0d
Dekorsy, Armin
be243cd2-a585-48ff-b701-da153098bf5d
Fliege, Jörg
54978787-a271-4f70-8494-3c701c893d98
Hodgskiss, Joe
bd0d92b9-6276-4cd4-97eb-7d92a591db0d
Dekorsy, Armin
be243cd2-a585-48ff-b701-da153098bf5d
Fliege, Jörg
54978787-a271-4f70-8494-3c701c893d98
Hodgskiss, Joe, Dekorsy, Armin and Fliege, Jörg
(2007)
Accelerating a dual algorithm for the simultaneous routing and power control problem.
In The 18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC07).
IEEE.
.
(Submitted)
(doi:10.1109/PIMRC.2007.4394404).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Efficiently transmitting data in wireless networks requires an integrated routing and radio resource allocation strategy. An initial observation that suggest dual decomposition to be a worthwhile approach is that the network flow variables for routing and the communication variables for resource allocation are only coupled through link capacities. With dual decomposition we split routing and resource allocation up in two separate subproblems and coordinate the solutions by solving a master dual problem. In this paper, we suggest to solve the master dual problem iteratively by using Aitken's method for an update of the dual variables. In contrast to former proposed subgradient methods, we accelerate the iteration process for achieving an optimum solution. This results in significant less complexity, but still facilitating distributed implementation. Beside describing the application of Aitken's method to simultaneous routing and resource allocation we also give necessary conditions for optimality, and show results for data transmission in a wireless mesh network being optimized in a proportional fair manner.
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Submitted date: 4 December 2007
Venue - Dates:
18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC07), Athens, Greece, 2007-09-03 - 2007-09-07
Organisations:
Operational Research
Identifiers
Local EPrints ID: 54545
URI: http://eprints.soton.ac.uk/id/eprint/54545
PURE UUID: 37bd02f2-4430-4a39-a2d0-2195f2268f5e
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Date deposited: 28 Jul 2008
Last modified: 16 Mar 2024 03:57
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Contributors
Author:
Joe Hodgskiss
Author:
Armin Dekorsy
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