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Journal ArticleDOI

A simple distributed autonomous power control algorithm and its convergence

Gerard J. Foschini, +1 more
- 01 Nov 1993 - 
- Vol. 42, Iss: 4, pp 641-646
TLDR
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.
Abstract
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. By effecting the lowest interference environment, in meeting a required minimum signal-to-interference ratio of rho per user, channel reuse is maximized. Distributed procedures for doing this are of special interest, since the centrally administered alternative requires added infrastructure, latency, and network vulnerability. Successful distributed powering entails guiding the evolution of the transmitted power level of each of the signals, using only focal measurements, so that eventually all users meet the rho requirement. The local per channel power measurements include that of the intended signal as well as the undesired interference from other users (plus receiver noise). For a certain simple distributed type of algorithm, whenever power settings exist for which all users meet the rho requirement, the authors demonstrate exponentially fast convergence to these settings. >

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Citations
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Proceedings ArticleDOI

Power control in a mobility environment

TL;DR: The key considerations that motivate the analytical work are provided, along with an exposition of the basic algorithm, and the findings indicate that, within the typical range of system parameters, the power control algorithm performs quite satisfactorily.
Proceedings ArticleDOI

Energy-Efficient Binary Power Control with Bit Error Rate Constraint in MIMO-OFDM Wireless Communication Systems

TL;DR: An energy-efficient binary power control with BER constraint (EBPCB) algorithm is proposed based on the power allocation criterion and QoS constraint for energy efficiency optimization in MIMO-OFDM wireless communication systems.
Proceedings ArticleDOI

Distributed interference alignment and power control for wireless MIMO interference networks with noisy channel state information

TL;DR: An iterative algorithm is proposed to perform stochastic power control and transceiver design based on only noisy local CSI in a multi-input multi-output (MIMO) interference network.
Proceedings ArticleDOI

Power Control for D2D Underlay Cellular Networks with Imperfect CSI

TL;DR: This work considers centralized and distributed power control algorithms in a one-cell random network model for device-to-Device communications underlying the cellular infrastructure and evaluates how uncertainty impacts performances.
References
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Journal ArticleDOI

Matrix Iterative Analysis

Book

Matrix iterative analysis

TL;DR: In this article, the authors propose Matrix Methods for Parabolic Partial Differential Equations (PPDE) and estimate of Acceleration Parameters, and derive the solution of Elliptic Difference Equations.
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.
Book

A Survey of Matrix Theory and Matrix Inequalities

Marvin Marcus, +1 more
TL;DR: This book presents an enormous amount of information in a concise and accessible format and begins with the assumption that the reader has never seen a matrix.
Book

Handbook of Differential Equations

TL;DR: Numerical Methods: Concepts.
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