On the Precoder Design of a Wireless Energy Harvesting Node in Linear Vector Gaussian Channels with Arbitrary Input Distribution

A Wireless Energy Harvesting Node (WEHN) operating in linear vector Gaussian channels with arbitrarily distributed input symbols is considered in this paper. The precoding strategy that maximizes the mutual information along N independent channel accesses is studied under non-causal knowledge of the...

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Vydáno v:	IEEE transactions on communications Ročník 61; číslo 5; s. 1868 - 1879
Hlavní autoři:	Gregori, M., Payaro, M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.05.2013 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Applied sciences arbitrary input distribution Batteries Channels Coding, codes Energy distribution Energy harvesting Exact sciences and technology Harvesting Information, signal and communications theory Jacobian matrices linear vector Gaussian channels Mathematical analysis Mean square errors Mercury MMSE Mutual information Optimization power allocation precoder optimization Resource management Signal and communications theory Studies Telecommunications and information theory Transmitters Vectors Vectors (mathematics) Singularity precoder optimization Wireless telecommunication n channel arbitrary input distribution Linear channel Energy harvesting Power allocation Mean square error Optimal allocation Coding MMSE Off line Pretreatment Optimal algorithm Eigenvector Gaussian channel Coding circuit Computational complexity linear vector Gaussian channels Graphics Singular vector On line processing Aqueous solution Causality Mutual information
ISSN:	0090-6778, 1558-0857
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Shrnutí:	A Wireless Energy Harvesting Node (WEHN) operating in linear vector Gaussian channels with arbitrarily distributed input symbols is considered in this paper. The precoding strategy that maximizes the mutual information along N independent channel accesses is studied under non-causal knowledge of the channel state and harvested energy (commonly known as offline approach). It is shown that, at each channel use, the left singular vectors of the precoder are equal to the eigenvectors of the Gram channel matrix. Additionally, an expression that relates the optimal singular values of the precoder with the energy harvesting profile through the Minimum Mean-Square Error (MMSE) matrix is obtained. Then, the specific situation in which the right singular vectors of the precoder are set to the identity matrix is considered. In this scenario, the optimal offline power allocation, named Mercury Water-Flowing, is derived and an intuitive graphical representation is presented. Two optimal offline algorithms to compute the Mercury Water-Flowing solution are proposed and an exhaustive study of their computational complexity is performed. Moreover, an online algorithm is designed, which only uses causal knowledge of the harvested energy and channel state. Finally, the achieved mutual information is evaluated through simulation.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23
ISSN:	0090-6778 1558-0857
DOI:	10.1109/TCOMM.2013.032013.120577