MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer

This paper studies the performance limits of multi-antenna wireless broadcasting systems for simultaneous information and power (energy) transfer. For the purpose of exposition, a three-node network is investigated, in which one receiver harvests energy and another receiver decodes information separately from the signals broadcast by a common transmitter. Two scenarios are examined, where the information receiver and energy receiver are separated and see different channels from the transmitter, or co-located and see the same channel from the transmitter. For the case of separated receivers, we derive the optimal transmission strategies to achieve different tradeoffs for maximal information rate versus energy transfer, which are characterized by the boundary of a so-called rate-energy (R-E) region. For the case of co-located receivers, we show an outer bound for the achievable R-E region, due to the potential limitation that practical circuits for harvesting energy from radio signals are not yet able to decode the carried information at the same time. Under this constraint, we propose two practical receiver designs for the co-located receivers, namely, time switching and power splitting, and characterize their achievable R-E regions in comparison with the outer bound.

[1]  Shuguang Cui,et al.  Dynamic Resource Allocation in Cognitive Radio Networks , 2010, IEEE Signal Processing Magazine.

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

[3]  Nikos D. Sidiropoulos,et al.  Transmit beamforming for physical-layer multicasting , 2006, IEEE Transactions on Signal Processing.

[4]  Rui Zhang,et al.  MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer , 2013 .

[5]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[6]  Geoffrey A. Landis,et al.  Space transfer with ground-based laser/electric propulsion , 1992 .

[7]  Syed Ali Jafar,et al.  Interference Alignment and Degrees of Freedom of the $K$-User Interference Channel , 2008, IEEE Transactions on Information Theory.

[8]  Fei Zhang,et al.  Wireless energy transfer platform for medical sensors and implantable devices , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[9]  Shlomo Shamai,et al.  On the achievable throughput of a multiantenna Gaussian broadcast channel , 2003, IEEE Transactions on Information Theory.

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

[11]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[12]  Michael Gastpar,et al.  On Capacity Under Receive and Spatial Spectrum-Sharing Constraints , 2007, IEEE Transactions on Information Theory.

[13]  Rohit U. Nabar,et al.  Introduction to Space-Time Wireless Communications , 2003 .

[14]  David Tse,et al.  Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality , 2003, IEEE Trans. Inf. Theory.

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

[16]  Ying-Chang Liang,et al.  Exploiting Multi-Antennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks , 2007, IEEE Journal of Selected Topics in Signal Processing.

[17]  Wei Yu,et al.  Sum capacity of Gaussian vector broadcast channels , 2004, IEEE Transactions on Information Theory.

[18]  Zhi-Quan Luo,et al.  Capacity Limits of Multiple Antenna Multicast , 2006, 2006 IEEE International Symposium on Information Theory.

[19]  Syed A. Jafar,et al.  Interference Alignment and the Degrees of Freedom for the 3 User Interference Channel , 2007 .

[20]  K. Mayaram,et al.  Efficient Far-Field Radio Frequency Energy Harvesting for Passively Powered Sensor Networks , 2008, IEEE Journal of Solid-State Circuits.

[21]  W. Marsden I and J , 2012 .

[22]  Roy Want,et al.  Enabling ubiquitous sensing with RFID , 2004, Computer.

[23]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[24]  Andrea J. Goldsmith,et al.  Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels , 2003, IEEE Trans. Inf. Theory.

[25]  John G. Proakis,et al.  Digital Communications , 1983 .

[26]  Rui Zhang Cooperative Multi-Cell Block Diagonalization with Per-Base-Station Power Constraints , 2010, IEEE J. Sel. Areas Commun..