Abstract
Simultaneous transmission of information and power over a point-to-point complex Additive White Gaussian Noise (AWGN) channel is studied. In contrast with the literature that relies on an inaccurate linear model of the energy harvester, an experimentally-validated nonlinear model is considered. A general form of the delivered Direct Current (DC) power in terms of system baseband parameters is derived, which demonstrates the dependency of the delivered DC power on higher order statistics of the channel input distribution. The optimization problem of maximizing Rate-Power (R-P) region is studied. Assuming that the Channel gain is known at both the receiver and the transmitter, and constraining to independent and identically distributed (i.i.d.) channel inputs determined only by their first and second moment statistics, an inner bound for the general problem is obtained. Notably, as a consequence of the harvester nonlinearity, the studied inner bound exhibits a tradeoff between the delivered power and the rate of received information. It is shown that the tradeoff-characterizing input distribution is with mean zero and with asymmetric power allocations to the real and imaginary dimensions.
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE Information Theory Workshop, ITW 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 181-183 |
| Number of pages | 3 |
| Volume | 2018-January |
| ISBN (Electronic) | 9781509030972 |
| DOIs | |
| Publication status | Published - 2018 Jan 31 |
| Externally published | Yes |
| Event | 2017 IEEE Information Theory Workshop, ITW 2017 - Kaohsiung, Taiwan, Province of China Duration: 2017 Nov 6 → 2017 Nov 10 |
Other
| Other | 2017 IEEE Information Theory Workshop, ITW 2017 |
|---|---|
| Country | Taiwan, Province of China |
| City | Kaohsiung |
| Period | 17/11/6 → 17/11/10 |
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ASJC Scopus subject areas
- Theoretical Computer Science
- Information Systems
- Modelling and Simulation
- Applied Mathematics
Cite this
Wireless information and power transfer over an AWGN channel : Nonlinearity and asymmetric Gaussian signaling. / Varasteh, Morteza; Rassouli, Borzoo; Clercks, Bruno.
2017 IEEE Information Theory Workshop, ITW 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 181-183.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Wireless information and power transfer over an AWGN channel
T2 - Nonlinearity and asymmetric Gaussian signaling
AU - Varasteh, Morteza
AU - Rassouli, Borzoo
AU - Clercks, Bruno
PY - 2018/1/31
Y1 - 2018/1/31
N2 - Simultaneous transmission of information and power over a point-to-point complex Additive White Gaussian Noise (AWGN) channel is studied. In contrast with the literature that relies on an inaccurate linear model of the energy harvester, an experimentally-validated nonlinear model is considered. A general form of the delivered Direct Current (DC) power in terms of system baseband parameters is derived, which demonstrates the dependency of the delivered DC power on higher order statistics of the channel input distribution. The optimization problem of maximizing Rate-Power (R-P) region is studied. Assuming that the Channel gain is known at both the receiver and the transmitter, and constraining to independent and identically distributed (i.i.d.) channel inputs determined only by their first and second moment statistics, an inner bound for the general problem is obtained. Notably, as a consequence of the harvester nonlinearity, the studied inner bound exhibits a tradeoff between the delivered power and the rate of received information. It is shown that the tradeoff-characterizing input distribution is with mean zero and with asymmetric power allocations to the real and imaginary dimensions.
AB - Simultaneous transmission of information and power over a point-to-point complex Additive White Gaussian Noise (AWGN) channel is studied. In contrast with the literature that relies on an inaccurate linear model of the energy harvester, an experimentally-validated nonlinear model is considered. A general form of the delivered Direct Current (DC) power in terms of system baseband parameters is derived, which demonstrates the dependency of the delivered DC power on higher order statistics of the channel input distribution. The optimization problem of maximizing Rate-Power (R-P) region is studied. Assuming that the Channel gain is known at both the receiver and the transmitter, and constraining to independent and identically distributed (i.i.d.) channel inputs determined only by their first and second moment statistics, an inner bound for the general problem is obtained. Notably, as a consequence of the harvester nonlinearity, the studied inner bound exhibits a tradeoff between the delivered power and the rate of received information. It is shown that the tradeoff-characterizing input distribution is with mean zero and with asymmetric power allocations to the real and imaginary dimensions.
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U2 - 10.1109/ITW.2017.8278010
DO - 10.1109/ITW.2017.8278010
M3 - Conference contribution
AN - SCOPUS:85046372356
VL - 2018-January
SP - 181
EP - 183
BT - 2017 IEEE Information Theory Workshop, ITW 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -