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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

To layer or not to layer: balancing transport and physical layers in wireless multihop networks

TL;DR: Under the rigorous framework of nonlinearly constrained optimization, this work proves the convergence of this coupled system to the global optimum of joint power control and congestion control, for both synchronized and asynchronous implementations.
Journal ArticleDOI

Towards Optimal Power Control via Ensembling Deep Neural Networks

TL;DR: In this article, a deep neural network (DNN) based power control method that aims at solving the non-convex optimization problem of maximizing the sum rate of a fading multi-user interference channel is proposed.
Journal ArticleDOI

Teletraffic aspects of evolving and next-generation wireless communication networks

TL;DR: The author addresses some issues relevant to heterogeneous systems and briefly discuss typical approaches when possible, and simple models for homogeneous systems, to serve as approximate solutions, are presented.
Journal ArticleDOI

Power Control and Channel Allocation in Cognitive Radio Networks with Primary Users' Cooperation

TL;DR: This work considers a point-to-multipoint cognitive radio network that shares a set of channels with a primary network and proposes two-phase mixed distributed/centralized control algorithms that require minimal cooperation between cognitive and primary devices.
Journal ArticleDOI

Gradual removals in cellular PCS with constrained power control and noise

TL;DR: This paper studies themobile removal problem in a cellular PCS network where transmitter powers are constrained and controlled by a Distributed Constrained Power Control algorithm, and shows that finding the optimal removal set is an NP-Complete problem, giving rise for heuristic algorithms.
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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