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Journal ArticleDOI

A framework for uplink power control in cellular radio systems

Roy D. Yates
- 01 Sep 1995 - 
- Vol. 13, Iss: 7, pp 1341-1347
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TLDR
It is shown that systems in which transmitter powers are subject to maximum power limitations share these common properties, which permit a general proof of the synchronous and totally asynchronous convergence of the iteration p(t+1)=I(p(t)) to a unique fixed point at which total transmitted power is minimized.
Citations
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Proceedings ArticleDOI

A reinforcement learning approach to power control and rate adaptation in cellular networks

TL;DR: A comprehensive design of the learning framework is presented that includes the characterization of the system state, a general reward function, and an efficient learning algorithm that quickly learns a power control policy that brings significant energy savings and fairness across users in the system.
Journal ArticleDOI

Decentralized Cognitive Radio Control Based on Inference from Primary Link Control Information

TL;DR: It is shown that the link control feedback information inherent in many two-way primary systems can be used as important reference signal among multiple SU pairs to distributively achieve a joint performance assurance for primary receiver's quality of service.
Journal ArticleDOI

A passivity approach to game-theoretic CDMA power control

TL;DR: New decentralized control algorithms that globally stabilize the desired Nash equilibrium are developed and are shown to show robustness of these algorithms against time-varying channel gains.
Proceedings ArticleDOI

Distributed opportunistic scheduling for ad-hoc communications: an optimal stopping approach

TL;DR: This paper treats the problem of rate threshold selections for different links as a non-cooperative game, and explores the existence and uniqueness of the Nash equilibrium, and develops an online stochastic iterative algorithm that establishes its convergence.
Journal ArticleDOI

Uplink power adjustment in wireless communication systems: a stochastic control analysis

TL;DR: This paper considers mobile to base station power control for lognormal fading channels in wireless communication systems within a centralized information stochastic optimal control framework and develops approximate, but highly scalable, solutions to the HJB equation in terms of a local polynomial expansion of the exact solution.
References
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Journal ArticleDOI

On the capacity of a cellular CDMA system

TL;DR: In this paper, the interference-suppression feature of CDMA (code division multiple access) can result in a many-fold increase in capacity over analog and even over competing digital techniques.
Proceedings Article

On the capacity of a cellular CDMA system

TL;DR: It is concluded that properly augmented and power-controlled multiple-cell CDMA (code division multiple access) promises a quantum increase in current cellular capacity.
Journal ArticleDOI

A simple distributed autonomous power control algorithm and its convergence

TL;DR: For wireless cellular communication systems, one seeks a simple effective means of power control of signals associated with randomly dispersed users that are reusing a single channel in different cells, and the authors demonstrate exponentially fast convergence to these settings whenever power settings exist for which all users meet the rho requirement.

Parallel and distributed computation

TL;DR: This book focuses on numerical algorithms suited for parallelization for solving systems of equations and optimization problems, with emphasis on relaxation methods of the Jacobi and Gauss-Seidel type.
Journal ArticleDOI

Performance of optimum transmitter power control in cellular radio systems

TL;DR: In order to derive upper performance bounds for transmitter power control schemes, algorithms that are optimum in the sense that the interference probability is minimized are suggested.
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