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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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Ant Colony Optimization for Resource Allocation and Anomaly Detection in Communication Networks

TL;DR: The RA specially in wireless multiple access networks and the AD in computer networks are problems of complex nature and an engineering compromise solution has much appeal in terms of practical and effective deployment.
Journal ArticleDOI

Uplink Power Control via Adaptive Hidden-Markov-Model-Based Pathloss Estimation

TL;DR: In this paper, an adaptive power control design based on the identification of the underlying pathloss dynamics of the fading channel is presented and applying the online HMM identification algorithm enables accurate estimation of the real pathloss ensuring efficient performance of the suggested power control scheme.
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Beamsteering on Mobile Devices: Network Capacity and Client Efficiency

TL;DR: This work provides a distributed algorithm called BeamAdapt that allows each client to closely approach its optimal point iteratively without central coordination, and shows that BeamAdapt with four antennas can reduce client power consumption while maintaining a required network throughput for a large-scale network.
Proceedings ArticleDOI

A distributed power control and routing scheme for rechargeable sensor networks

TL;DR: Some initial performance evaluations are presented from experimental studies to show the effectiveness of the proposed joint power control and quality aware routing scheme for rechargeable wireless sensor networks.
Patent

Method and apparatus for distributed power control in cellular radio systems

Debasis Mitra
TL;DR: In this paper, a method of and apparatus for regulating the power of signals transmitted by transmitting units, such as mobiles or base stations, that are using the same channel in a cellular radio system is presented.
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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