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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

Iterative spectrum shaping with opportunistic multiuser detection

TL;DR: Numerical examples show that the proposed ISS deploying OMD is able to achieve substantial throughput gains over the conventional IWF deploying SD in decentralized spectrum sharing systems.
Proceedings ArticleDOI

A simple joint beamforming and power control algorithm for multi-user MIMO wireless networks

TL;DR: A simple joint optimization algorithm tailored for cellular downlinks by exploiting network duality, which is applicable over a wide range of SINR and achieves a performance close to that of centralized iterative optimization algorithms, and outperforms other decentralized approaches that have been previously proposed.
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Proportional power control algorithm for time varying link gains in cellular radio systems

TL;DR: This paper proposes a fully distributed and nonlinearly proportional PC algorithm for time-varying link gain environments that can possibly be implemented also as a 1-bit increase/decrease PC command, and analyzes it from system point of view.
Proceedings ArticleDOI

Auto-interference analysis in cellular systems

P. Godlewski, +1 more
TL;DR: In the context of power control in cellular radio systems, it is given proof that, in the presence of auto-interference, the maximum achievable balanced carrier-to-Interference ratio (CIR) is lower than in the case of its absence.
Journal ArticleDOI

Extensions of Fast-Lipschitz Optimization

TL;DR: The set of problems for which the Fast-Lipschitz framework applies is extended and new and generalized qualifying conditions are established by novel results based on Lagrangian duality, including network optimization and optimal control problems.
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

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