DocumentCode :
6228
Title :
On the Optimal Transmission Policy in Hybrid Energy Supply Wireless Communication Systems
Author :
Yuyi Mao ; Guanding Yu ; Zhaoyang Zhang
Author_Institution :
Inst. of Inf. & Commun. Eng., Zhejiang Univ., Hangzhou, China
Volume :
13
Issue :
11
fYear :
2014
fDate :
Nov. 2014
Firstpage :
6422
Lastpage :
6430
Abstract :
This paper addresses the optimal transmission scheduling problem in hybrid energy supply systems with the save-then-transmit protocol, where the energy supply of the transmitter comes from both the primary battery and the energy harvester. We first consider minimizing the outage probability for a given amount of battery energy by optimizing the saving factor. It is demonstrated that harvesting external energy is unnecessary for a large spectral efficiency requirement. Then, we consider joint packet scheduling and saving factor optimization to the battery energy consumption minimization (BECM) problem in both single packet arrival and burst packet arrival scenarios. Both optimal and suboptimal offline policies with full information on the traffic profile, the harvesting power, and the channel state are developed. We also propose an optimal online policy in the case that only causal information is available. Numerical results are presented that validate the effectiveness of the proposed algorithms.
Keywords :
dynamic programming; energy consumption; energy harvesting; hybrid power systems; inductive power transmission; minimisation; probability; protocols; scheduling; wireless channels; BECM problem; battery energy consumption minimization problem; burst packet arrival scenarios; causal information; channel state; energy harvester; hybrid energy supply systems; joint packet scheduling; online policy; optimal transmission scheduling problem; outage probability; primary battery; save-then-transmit protocol; saving factor optimization; single packet arrival scenarios; suboptimal offline policies; Batteries; Energy consumption; Protocols; Silicon; Transmitters; Wireless communication; Energy harvesting; dynamic programming; hybrid energy supply; optimal transmission scheduling; save-then-transmit protocol;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2014.2323981
Filename :
6815770
Link To Document :
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