Title
Optimal Stochastic Power Control for Energy Harvesting Systems with Statistical Delay Constraint.
Abstract
This paper studies optimal stochastic power control problem for a time-varying communication link, where the transmitter randomly harvests renewable energies from the environment. The harvested energies are stored in an energy buffer (or battery). Packets arrive at the transmitter data buffer with a constant rate mu. The objective is to maximize mu under the statistical delay and energy harvesting (EH) constraints. In order to study the optimal power control policy, we reformulate the problem as an infinite-horizon Markov decision process (MDP) using asymptotic delay analysis. The optimal policy and its structural properties are studied by employing the post-decision framework approach. We then propose an online power control algorithm, which converges to the optimal solution without requiring the statistical knowledge of the channel fading and EH processes. Numerical results demonstrate the effectiveness of the online algorithm for different delay constraints and EH settings.
Year
DOI
Venue
2015
10.1109/GLOCOM.2015.7417468
IEEE Global Communications Conference
Keywords
Field
DocType
Energy harvesting,statistical delay constraints,optimal stochastic control
Transmitter,Online algorithm,Mathematical optimization,Computer science,Fading,Power control,Communication channel,Markov decision process,Energy harvesting,Real-time computing,Data buffer
Conference
ISSN
Citations 
PageRank 
2334-0983
1
0.35
References 
Authors
0
3
Name
Order
Citations
PageRank
Imtiaz Ahmed114315.89
Khoa Tran Phan2775.69
Tho Le-Ngoc32210237.14