Real and complex analysis, 3rd ed.
Real and complex analysis, 3rd ed.
IEEE/ACM Transactions on Networking (TON)
A duality model of TCP and queue management algorithms
IEEE/ACM Transactions on Networking (TON)
Convex Optimization
A Nash game algorithm for SIR-based power control in 3G wireless CDMA networks
IEEE/ACM Transactions on Networking (TON)
Fundamentals of wireless communication
Fundamentals of wireless communication
IEEE Transactions on Wireless Communications
Joint scheduling and power control for wireless ad hoc networks
IEEE Transactions on Wireless Communications
Power Control By Geometric Programming
IEEE Transactions on Wireless Communications
Load in CDMA Cellular Systems and its Relation to the Perron Root
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
Transmit beamforming and power control for cellular wireless systems
IEEE Journal on Selected Areas in Communications
A comparison of reverse link access schemes for next-generation cellular systems
IEEE Journal on Selected Areas in Communications
A framework for uplink power control in cellular radio systems
IEEE Journal on Selected Areas in Communications
Power Control in Wireless Cellular Networks
Foundations and Trends® in Networking
Robust spectrum management for DMT-based systems
IEEE Transactions on Signal Processing
Robust cross layer optimization in relay aided cellular networks
Wireless Networks
Optimization Decomposition for Scheduling and System Configuration in Wireless Networks
IEEE/ACM Transactions on Networking (TON)
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In the seminal paper by Foschini and Miljanic in 1993, a distributed power control algorithm was developed to meet SIR targets with minimal powers in cellular network uplinks. Since the SIR on an active link may dip below the SIR target during the transient after a new user enters the cell, Bambos et al. proposed an active link protection algorithm to provide robustness, at the expense of higher energy consumption. This paper examines the tradeoff between energy and robustness. An optimization problem is formulated where robustness is captured in the constraint and the price of robustness penalized in the objective function. A distributed algorithm is developed to solve this problem. Local convergence and optimality of equilibrium are proved for the algorithm. The objective function modulates the tradeoff between energy and robustness, and between energy and speed of admission, as illustrated through a series of numerical experiments. A parameterized family of objective functions is constructed to control the transient and equilibrium properties of robust distributed power control.