Simulation of multi-scale structures using equivalence principle algorithm with grid-robust higher order vector basis
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سال
: 2014شناسه الکترونیک: 10.1109/LCN.2014.6925806
کلیدواژه(گان): Long Term Evolution,Markov processes,cellular radio,convergence,intelligent control,learning (artificial intelligence),learning automata,multilayer perceptrons,nonlinear functions,scheduling,CACLA RL algorithm,GPF parameters optimal policy,GPF scheduling rule,LTE scheduler behavior,LTE-A cellular network,MDP,MLPNN nonlinear function,Markov decision process,TTI,continuous actor-critic learning automata,convergence speed,dynamic cell throughput,dynamic radio environment,fair
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Simulation of multi-scale structures using equivalence principle algorithm with grid-robust higher order vector basis
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contributor author | Hanru Shao , Jun Hu , Lin Lei , Zaiping Nie | |
date accessioned | 2020-03-12T20:45:59Z | |
date available | 2020-03-12T20:45:59Z | |
date issued | 2014 | |
identifier other | 6905018.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1024679 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Simulation of multi-scale structures using equivalence principle algorithm with grid-robust higher order vector basis | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8149647 | |
subject keywords | Long Term Evolution | |
subject keywords | Markov processes | |
subject keywords | cellular radio | |
subject keywords | convergence | |
subject keywords | intelligent control | |
subject keywords | learning (artificial intelligence) | |
subject keywords | learning automata | |
subject keywords | multilayer perceptrons | |
subject keywords | nonlinear functions | |
subject keywords | scheduling | |
subject keywords | CACLA RL algorithm | |
subject keywords | GPF parameters optimal policy | |
subject keywords | GPF scheduling rule | |
subject keywords | LTE scheduler behavior | |
subject keywords | LTE-A cellular network | |
subject keywords | MDP | |
subject keywords | MLPNN nonlinear function | |
subject keywords | Markov decision process | |
subject keywords | TTI | |
subject keywords | continuous actor-critic learning automata | |
subject keywords | convergence speed | |
subject keywords | dynamic cell throughput | |
subject keywords | dynamic radio environment | |
subject keywords | fair | |
identifier doi | 10.1109/LCN.2014.6925806 | |
journal title | ntennas and Propagation Society International Symposium (APSURSI), 2014 IEEE | |
filesize | 321419 | |
citations | 0 |