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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

Joint Design of Distributed Power Control and Dynamic Channel Allocation in Scalable WLANs

TL;DR: A real time and open ended algorithm for joint design of dynamic channel allocation and distributed power control and it is shown that in the case of optimal channel allocation, the convergence property for power control is further strengthened.
Proceedings ArticleDOI

Adaptive congestion control for wireless networks using TCP

TL;DR: This paper develops an optimal congestion control algorithm for wireless networks using TCP based on utility maximization techniques that adaptively responds to changes in network routing and topology.
Proceedings ArticleDOI

Powers Maximizing Proportional Fairness Among Poisson Bipoles

TL;DR: The mechanism is based on a heuristic which consists of simplifying the interference field seen by each receiver to its dominant term, which decomposes the global optimization problem into a collection of finite problems involving the so called descending chains of the Poisson nearest neighbor graph.
Journal ArticleDOI

Using Misbehavior to Analyze Strategic versus Aggregate Energy Minimization in Wireless Sensor Networks

TL;DR: The model for characterizing energy misbehavior is developed and it is proved that it is impossible for a node to unilaterally and undetectably follow a different energy optimization strategy than the other nodes and hence the only threat to the network is misbehavior through false advertisement.
Book ChapterDOI

Approximation algorithms for power-aware scheduling of wireless sensor networks with rate and duty-cycle constraints

TL;DR: This work develops fully polynomial approximation schemes (FPAS) for finding optimal schedules by considering restricted versions of the problem using multiple discrete power levels and shows a simple dynamic programming solution that optimally solves the restricted problem.
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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