Optimal Control of Data Transmission over a Fluctuating Channel with Unknown State
- 作者: Kuznetsov N.1,2, Myasnikov D.1, Semenikhin K.1,2,3
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隶属关系:
- Kotel’nikov Institute of Radio Engineering and Electronics, Russian Academy of Sciences
- Moscow Institute of Physics and Technology
- Moscow Aviation Institute (National Research University)
- 期: 卷 63, 编号 12 (2018)
- 页面: 1506-1517
- 栏目: Analysis and Synthesis of Control Systems
- URL: https://journals.rcsi.science/1064-2269/article/view/199377
- DOI: https://doi.org/10.1134/S1064226918120136
- ID: 199377
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详细
Abstract—Optimization problem for data packet transmission over a communication channel governed by a hidden Markov process is considered. The transmitter is modeled as a single-channel finite-buffer queuing system with non-stationary Poisson arrivals. The service rate is proportional to the controlled transmission rate with channel-dependent factor. Buffer overflow leads to packet losses, whereas channel state worsening results in lower service rate. The goal of the optimization problem is to minimize average losses under constraint on the transmitter energy consumption. The exact form of the optimal policy is presented for the augmented control problem. Several control policies with incomplete information are proposed on the basis of the optimal control and hidden state estimates. We consider two estimates based on the optimal filtering equations and the current queue state. Results of computer simulation are presented to compare the control policies under consideration.
作者简介
N. Kuznetsov
Kotel’nikov Institute of Radio Engineering and Electronics, Russian Academy of Sciences; Moscow Institute of Physics and Technology
编辑信件的主要联系方式.
Email: kuznetsov@cplire.ru
俄罗斯联邦, Moscow, 125009; Dolgoprudnyi, Moscow oblast, 141700
D. Myasnikov
Kotel’nikov Institute of Radio Engineering and Electronics, Russian Academy of Sciences
编辑信件的主要联系方式.
Email: dmitry.myasnikov89@gmail.com
俄罗斯联邦, Moscow, 125009
K. Semenikhin
Kotel’nikov Institute of Radio Engineering and Electronics, Russian Academy of Sciences; Moscow Institute of Physics and Technology; Moscow Aviation Institute (National Research University)
编辑信件的主要联系方式.
Email: siemenkv@gmail.com
俄罗斯联邦, Moscow, 125009; Dolgoprudnyi, Moscow oblast, 141700 ; Moscow, 125993
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