Name
Abstract | ||
|---|---|---|
This paper proposes and analyzes a new distributed power-control algorithm based on the theory of stochastic approximation. The power-control problem is first converted into a stochastic approximation problem in which the zero point of a specific function is determined. A distributed power-control algorithm is then derived and its convergence properties are analyzed using standard techniques. In t... |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/TCOMM.2006.888922 | IEEE Transactions on Communications |
Keywords | Field | DocType |
Stochastic processes,Iterative algorithms,Algorithm design and analysis,Approximation algorithms,Power control,Convergence,Distributed algorithms,Bit error rate,Measurement errors,Power generation | Convergence (routing),Mathematical optimization,Computer science,Iterative method,Control theory,Approximation theory,Stochastic process,Distributed algorithm,Rate of convergence,Stochastic modelling,Stochastic approximation | Journal |
Volume | Issue | ISSN |
55 | 5 | 0090-6778 |
Citations | PageRank | References |
3 | 0.42 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huanshui Zhang | 1 | 1031 | 109.17 |
| Wing Shing Wong | 2 | 1025 | 290.66 |
| Weiyan Ge | 3 | 232 | 16.28 |
| Peter E. Caines | 4 | 26 | 3.91 |