Departmental Papers (ESE)


This paper proposes an optimal architecture for wireless networks based on layers and layer interfaces. In the presence of fading the architecture is shown to be optimal. The result follows from a subgradient descent algorithm on the dual function of a generic wireless networking optimization problem. The fact that these non-convex optimization problems have nonetheless zero duality gap is exploited.

Document Type

Conference Paper

Date of this Version



Copyright 2009 IEEE. Reprinted from:

Ribeiro, A., "Layers and layer interfaces in wireless networks," Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on , vol., no., pp.2557-2560, 19-24 April 2009


This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to By choosing to view this document, you agree to all provisions of the copyright laws protecting it.


concave programming, duality (mathematics), gradient methods, network interfaces, radio networks, layers-and-layer interface, nonconvex optimization problem, subgradient descent algorithm, wireless network optimization problem, zero duality gap, Cross-layer design, Optimization, Wireless networks



Date Posted: 13 October 2009