Waveform and Transceiver Design for Simultaneous Wireless Information and Power Transfer

Simultaneous Wireless Information and Power Transfer (SWIPT) has attracted significant attention in the communication community. The problem of waveform design has however never been addressed so far. In this paper, we first investigate how a communication waveform (OFDM) and a power waveform (multisine) compare with each other in terms of harvested energy. We show that due to the non-linearity of the rectifier and the randomness of the information symbols, the OFDM waveform is less efficient than the multisine waveform for wireless power transfer. This observation motivates the design of a novel SWIPT transceiver architecture relying on the superposition of multisine and OFDM waveforms at the transmitter and a power-splitter receiver equipped with an energy harvester and an information decoder. The superposed SWIPT waveform is optimized so as to maximize the rate-energy region of the whole system. Its design is adaptive to the channel state information and result from a posynomial maximization problem that originates from the non-linearity of the energy harvester. Numerical results illustrate the performance of the derived waveforms and SWIPT architecture. Key (and refreshing) observations are that 1) a power waveform (superposed to a communication waveform) is useful to enlarge the rate-energy region of SWIPT, 2) a combination of power splitting and time sharing is in general the best strategy, 3) exploiting the nonlinearity of the rectifier is essential to design efficient SWIPT architecture, 4) a non-zero mean Gaussian input distribution outperforms the conventional capacity-achieving zero-mean Gaussian input distribution.

[1]  Bruno Clerckx,et al.  Joint Wireless Information and Energy Transfer With Reduced Feedback in MIMO Interference Channels , 2014, IEEE Journal on Selected Areas in Communications.

[2]  Nuno Borges Carvalho,et al.  Maximizing DC power in energy harvesting circuits using multisine excitation , 2011, 2011 IEEE MTT-S International Microwave Symposium.

[3]  Bruno Clerckx,et al.  Waveform optimization for Wireless Power Transfer with nonlinear energy harvester modeling , 2015, 2015 International Symposium on Wireless Communication Systems (ISWCS).

[4]  A. Collado,et al.  Optimal Waveforms for Efficient Wireless Power Transmission , 2014, IEEE Microwave and Wireless Components Letters.

[5]  Bruno Clerckx Waveform Optimization for SWIPT with Nonlinear Energy Harvester Modeling , 2016, WSA.

[6]  Bruno Clerckx,et al.  Waveform optimization for large-scale multi-antenna multi-sine wireless power transfer , 2016, 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[7]  R. Duffin,et al.  Geometric programming with signomials , 1973 .

[8]  Gordon P. Wright,et al.  Technical Note - A General Inner Approximation Algorithm for Nonconvex Mathematical Programs , 1978, Oper. Res..

[9]  Derrick Wing Kwan Ng,et al.  Wireless Information and Power Transfer: Energy Efficiency Optimization in OFDMA Systems , 2013, IEEE Transactions on Wireless Communications.

[10]  Gregory D. Durgin,et al.  Power-optimized waveforms for improving the range and reliability of RFID systems , 2009, 2009 IEEE International Conference on RFID.

[11]  Daniel Pérez Palomar,et al.  Power Control By Geometric Programming , 2007, IEEE Transactions on Wireless Communications.

[12]  Bruno Clerckx,et al.  Joint Wireless Information and Power Transfer for an Autonomous Multiple Antenna Relay System , 2015, IEEE Communications Letters.

[13]  S. Wetenkamp Comparison of Single Diode Vs. Dual Diode Detectors for Microwave Power Detection , 1983, 1983 IEEE MTT-S International Microwave Symposium Digest.

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

[15]  Mung Chiang,et al.  Geometric Programming for Communication Systems , 2005, Found. Trends Commun. Inf. Theory.

[16]  Bruno Clerckx,et al.  Waveform Design for Wireless Power Transfer , 2016, IEEE Transactions on Signal Processing.

[17]  Ali A. Nasir,et al.  Relaying Protocols for Wireless Energy Harvesting and Information Processing , 2012, IEEE Transactions on Wireless Communications.

[18]  Bruno Clerckx,et al.  Joint Wireless Information and Energy Transfer in a $K$-User MIMO Interference Channel , 2014, IEEE Transactions on Wireless Communications.

[19]  Jie Xu,et al.  Multiuser MISO Beamforming for Simultaneous Wireless Information and Power Transfer , 2013, IEEE Transactions on Signal Processing.

[20]  Erik G. Larsson,et al.  Simultaneous Information and Power Transfer for Broadband Wireless Systems , 2012, IEEE Transactions on Signal Processing.

[21]  Hubregt J. Visser,et al.  RF Energy Harvesting and Transport for Wireless Sensor Network Applications: Principles and Requirements , 2013, Proceedings of the IEEE.

[22]  Rui Zhang,et al.  Wireless information and power transfer in multiuser OFDM systems , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

[23]  Claude Oestges,et al.  MIMO Wireless Networks: Channels, Techniques and Standards for Multi-Antenna, Multi-User and Multi-Cell Systems , 2013 .

[24]  Bruno Clerckx,et al.  Ju l 2 01 5 Simultaneous Wireless Information and Power Transfer in a Two-User OFDM Interference Channel , 2018 .

[25]  Stephen P. Boyd,et al.  Disciplined Convex Programming , 2006 .