Please use this identifier to cite or link to this item:
|Title:||Optimal energy allocation for wireless communications powered by energy harvesters|
|Source:||Ho, C.K., Zhang, R. (2010). Optimal energy allocation for wireless communications powered by energy harvesters. IEEE International Symposium on Information Theory - Proceedings : 2368-2372. ScholarBank@NUS Repository. https://doi.org/10.1109/ISIT.2010.5513719|
|Abstract:||We consider the use of energy harvesters, in place of conventional batteries with fixed energy storage, for point-to-point wireless communications. In addition to the challenge of transmitting in a channel with time selective fading, energy harvesters provide a perpetual but unreliable energy source. In this paper, we consider the problem of energy allocation over a finite horizon, taking into account a time varying channel and energy source, so as to maximize the throughput. Two types of side information are assumed to be available: causal side information of the immediate past channel condition and harvested energy, and full side information. We obtain structural results for the optimal energy allocation, via the use of dynamic programming and convex optimization techniques. In particular, if unlimited energy can be stored in the battery with harvested energy, we prove the optimality of a water-filling energy allocation solution with multiple, non-decreasing water levels. © 2010 IEEE.|
|Source Title:||IEEE International Symposium on Information Theory - Proceedings|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 6, 2017
WEB OF SCIENCETM
checked on Nov 21, 2017
checked on Dec 10, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.