Real-time simultaneous energy and information transfer

Consider an energy-harvesting receiver that uses the same received signal both for decoding information and for harvesting energy to power its circuitry. When the receiver has limited battery size, a signal with bursty energy content may cause power outage since the battery will drain during intervals with low signal energy. The energy content in the signal may be regularized by requiring that sufficient energy is carried in every subblock duration. In this paper, we study constant subblock-composition codes (CSCCs) where all subblocks in every codeword have the same composition, and this composition is chosen such that the real-time energy requirement at the receiver is met. For a given energy storage capacity at the receiver, we give a necessary and sufficient condition on the subblock length for avoiding outage. We show that CSCC capacity on a discrete memoryless channel can be efficiently computed by exploiting certain symmetry conditions, and compare it with the capacity of constant composition codes. We provide numerical examples highlighting the tradeoff between delivery of sufficient energy to the receiver and achieving high information transfer rates.

[1]  Aaron D. Wyner,et al.  A theorem on the entropy of certain binary sequences and applications-I , 1973, IEEE Trans. Inf. Theory.

[2]  Lav R. Varshney,et al.  Transporting information and energy simultaneously , 2008, 2008 IEEE International Symposium on Information Theory.

[3]  Lav R. Varshney,et al.  Unreliable and resource-constrained decoding , 2010 .

[4]  R. Gallager Information Theory and Reliable Communication , 1968 .

[5]  Shlomo Shamai,et al.  Extension of an entropy property for binary input memoryless symmetric channels , 1989, IEEE Trans. Inf. Theory.

[6]  Imre Csiszár,et al.  Information Theory - Coding Theorems for Discrete Memoryless Systems, Second Edition , 2011 .

[7]  Mehul Motani,et al.  On code design for simultaneous energy and information transfer , 2014, 2014 Information Theory and Applications Workshop (ITA).

[8]  Elza Erkip,et al.  Constrained Codes for Joint Energy and Information Transfer , 2014, IEEE Transactions on Communications.

[10]  Anant Sahai,et al.  Shannon meets Tesla: Wireless information and power transfer , 2010, 2010 IEEE International Symposium on Information Theory.

[11]  Aaron D. Wyner,et al.  A theorem on the entropy of certain binary sequences and applications-II , 1973, IEEE Trans. Inf. Theory.

[12]  Oguz Atasoy,et al.  Wireless Energy and Data Transfer for In-Vivo Epileptic Focus Localization , 2013, IEEE Sensors Journal.

[13]  Guang Yang,et al.  Constrained codes for passive RFID communication , 2011, 2011 Information Theory and Applications Workshop.

[14]  R.R. Harrison,et al.  A Low-Power Integrated Circuit for a Wireless 100-Electrode Neural Recording System , 2006, IEEE Journal of Solid-State Circuits.

[15]  Mehul Motani,et al.  Subblock-Constrained Codes for Real-Time Simultaneous Energy and Information Transfer , 2015, IEEE Transactions on Information Theory.