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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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Journal ArticleDOI

A fuzzy reinforcement learning approach to power control in wireless transmitters

TL;DR: This work presents a new distributed fuzzy reinforcement learning algorithm (ACFRL-2) capable of adequately solving a class of problems to which the power control problem belongs, and shows that the algorithm converges almost deterministically to a neighborhood of optimal parameter values, as opposed to a very noisy stochastic convergence of earlier algorithms.

Seeking Foschini’s Genie: Optimal Rates and Powers in Wireless Networks

TL;DR: An adaptive rate and power control approach that adapts to changes in demands on the system such as the arrival or departure of users, changes in the rate thresholds expected by users, andChanges in the mix of traffic presented to the system are presented.
Proceedings ArticleDOI

Power-controlled data prefetching/caching in wireless packet networks

TL;DR: A modeling framework is developed - based on controlled Markov chains and dynamic programming - capturing the essential performance tradeoffs in the system and allowing computation of optimal decisions on items to (pre)fetch and power levels to use.
Journal ArticleDOI

Cognitive Radio Network Duality and Algorithms for Utility Maximization

TL;DR: A utility maximization algorithm that leverages the egalitarian fairness power control as a submodule to maintain a desirable separability in the SINR assignment between the secondary and primary users is proposed.
Journal ArticleDOI

Distributed Uplink Power Control with Soft Removal for Wireless Networks

TL;DR: This work presents a distributed power control scheme with gradual soft removal, by which either TPC or OPC (opportunistic power control) is used, depending on whether the ratio of interference-to-path-gain is below or above a threshold that is chosen by each user in a distributed manner.
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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