Wireless Information and Power Transfer: Architecture Design and Rate-Energy Tradeoff

Simultaneous information and power transfer over the wireless channels potentially offers great convenience to mobile users. Yet practical receiver designs impose technical constraints on its hardware realization, as practical circuits for harvesting energy from radio signals are not yet able to decode the carried information directly. To make theoretical progress, we propose a general receiver operation, namely, dynamic power splitting (DPS), which splits the received signal with adjustable power ratio for energy harvesting and information decoding, separately. Three special cases of DPS, namely, time switching (TS), static power splitting (SPS) and on-off power splitting (OPS) are investigated. The TS and SPS schemes can be treated as special cases of OPS. Moreover, we propose two types of practical receiver architectures, namely, separated versus integrated information and energy receivers. The integrated receiver integrates the front-end components of the separated receiver, thus achieving a smaller form factor. The rate-energy tradeoff for the two architectures are characterized by a so-called rate-energy (R-E) region. The optimal transmission strategy is derived to achieve different rate-energy tradeoffs. With receiver circuit power consumption taken into account, it is shown that the OPS scheme is optimal for both receivers. For the ideal case when the receiver circuit does not consume power, the SPS scheme is optimal for both receivers. In addition, we study the performance for the two types of receivers under a realistic system setup that employs practical modulation. Our results provide useful insights to the optimal practical receiver design for simultaneous wireless information and power transfer (SWIPT).

[1]  M.C. van Beurden,et al.  Analytical models for low-power rectenna design , 2005, IEEE Antennas and Wireless Propagation Letters.

[2]  Rui Zhang,et al.  MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer , 2011, IEEE Transactions on Wireless Communications.

[3]  Ibrahim C. Abou-Faycal,et al.  On the capacity of some deterministic non-linear channels subject to additive white Gaussian noise , 2010, 2010 17th International Conference on Telecommunications.

[4]  Amos Lapidoth,et al.  On the Capacity of Free-Space Optical Intensity Channels , 2008, IEEE Transactions on Information Theory.

[5]  Shlomo Shamai,et al.  On the capacity-achieving distribution of the discrete-time noncoherent and partially coherent AWGN channels , 2004, IEEE Transactions on Information Theory.

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

[7]  Yongle Wu,et al.  Analytical Design Method of Multiway Dual-Band Planar Power Dividers With Arbitrary Power Division , 2010, IEEE Transactions on Microwave Theory and Techniques.

[8]  Yimin Zhang,et al.  Energy harvesting in an OSTBC based amplify-and-forward MIMO relay system , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[9]  J. I. Mararm,et al.  Energy Detection of Unknown Deterministic Signals , 2022 .

[10]  Kaibin Huang,et al.  Cognitive energy harvesting and transmission from a network perspective , 2012, 2012 IEEE International Conference on Communication Systems (ICCS).

[11]  Kaibin Huang,et al.  Enabling Wireless Power Transfer in Cellular Networks: Architecture, Modeling and Deployment , 2012, IEEE Transactions on Wireless Communications.

[12]  Meixia Tao,et al.  Robust Beamforming for Wireless Information and Power Transmission , 2012, IEEE Wireless Communications Letters.

[13]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[14]  Amos Lapidoth,et al.  On the capacity of free-space optical intensity channels , 2009, IEEE Trans. Inf. Theory.

[15]  Kee Chaing Chua,et al.  Wireless Information Transfer with Opportunistic Energy Harvesting , 2012, IEEE Transactions on Wireless Communications.

[16]  Matt Loy,et al.  Understanding and Enhancing Sensitivity in Receivers for Wireless Applications , 1999 .

[17]  Amos Lapidoth On phase noise channels at high SNR , 2002, Proceedings of the IEEE Information Theory Workshop.

[18]  Osvaldo Simeone,et al.  On the Transfer of Information and Energy in Multi-User Systems , 2012, IEEE Communications Letters.

[19]  Steve Hranilovic,et al.  Upper and Lower Bounds on the Capacity of Wireless Optical Intensity Channels , 2007, 2007 IEEE International Symposium on Information Theory.

[20]  Kee Chaing Chua,et al.  Wireless information transfer with opportunistic energy harvesting , 2012, 2012 IEEE International Symposium on Information Theory Proceedings.

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

[22]  Kaibin Huang,et al.  Opportunistic Wireless Energy Harvesting in Cognitive Radio Networks , 2013, IEEE Transactions on Wireless Communications.

[23]  R. Zane,et al.  Resistor Emulation Approach to Low-Power RF Energy Harvesting , 2008, IEEE Transactions on Power Electronics.

[24]  Dario Petri,et al.  Noise sensitivity of the ADC histogram test , 1998, IEEE Trans. Instrum. Meas..

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