Superposition of rectangular power pulses and CP-OFDM signal for SWIPT
(2022) 2022:77
Kassab et al. J Wireless Com Network
https://doi.org/10.1186/s13638-022-02151-1
EURASIP Journal on Wireless
Communications and Networking
Open Access
RESEARCH
Superposition of rectangular power pulses
and CP‑OFDM signal for SWIPT
Hussein Kassab* , François Rottenberg, Thomas Feuillen, Charles Wiame and Jérôme Louveaux
*Correspondence:
Institute of Information
and Communication
Technologies, Electronics
and Applied Mathematics,
1348 Louvain la Neuve, Belgium
Abstract
Simultaneous wireless information and power transfer (SWIPT) has recently attracted
researchers and may help to satisfy future technology demands. SWIPT allows wireless power transfer (WPT) and wireless information transfer (WIT) to coexist based on
shared resources. Recent studies have shown that, due to the nonlinearity of the rectifiers, high-PAPR (peak to average power ratio) waveforms provide better performance in
terms of energy harvesting, making the design of power signals essential. In addition,
these power signals should consume the smallest amount of resources for the WIT.
In this paper, a new waveform design is proposed where the information and power
signals are superposed using the same frequency and time resources. The power signal
is composed of a high peak modulated rectangular wave sent during the cyclic prefix
of the orthogonal frequency-division multiplexing (CP-OFDM) system, which is discarded at the information receiver, such that it does not interfere with the OFDM data
symbol. Although the pulse is restricted to be within the cyclic prefix, there might be a
small amount of interference caused by channel dispersion. Simulations and measurements show that a good choice of signal parameters can minimize interference on the
information symbols and simultaneously provide good performance in terms of energy
harvesting.
Keywords: SWIPT, WPT, WIT, Energy harvesting, Waveform design, CP-OFDM,
Nonlinear rectifier model
1 Introduction
1.1 Background and motivations
Internet of things (IoT) electronic devices such as battery-free sensors, passive radio frequency identification (RFID), and machine-to-machine (M2M) systems are expected to
be extensively deployed in the near future. Beside their need for wireless information
transfer (WIT), it is envisioned that these devices could harvest energy from the nearby
electromagnetic sources or from dedicated power heads in order to extend their battery
lifetime. The harvesting of energy is done using a harvester known as “rectenna” which
is composed of an antenna concatenated with a rectifier. This dual demand of information and power attracted the research community to investigate simultaneous wireless
information and power transfer (SWIPT), which consists of transferring both energy
and information wirelessly using the same radio frequency resources [1, 2]. One possible
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Kassab et al. J Wireless Com Network
(2022) 2022:77
Fig. 1 Illustration of a SWIPT network structure showing a possible scenario of coexistence between WIT and
WPT
scenario of coexistence between WIT and wireless power transfer (WPT) systems is
illustrated in Fig. 1.
SWIPT was first introduced by [3] where the fundamental trade-off between energy
and information was addressed showing that the rate-energy (R-E) region is a nonincreasing concave function. A substantial interest in SWIPT has been observed in the
communication literature, focusing on different aspects: wireless powered communication [4–6], MIMO broadcasting [7–9], interference channel [10–12], relaying [13–15],
broadband system [16–18]. Another aspect is the receiver architecture [19] which can be
either separate receiver [7], power-splitting [19], time switching [17], antenna switching
[20], or as suggested by [21] to jointly extract information and harvest power without
consuming energy in the process of collecting decoded data. Recently, an end-to-end
machine learning approach was studied in [22] to jointly optimize the transmitter and
the receiver using neural network (NN)-based auto-encoders. Also, a closed-loop practical SWIPT prototype with adaptive waveform optimization based on channel state
information (CSI) acquisition and different receiver architectures is implemented in the
works of [23, 24]. The work in [25, 26] provides a comprehensive survey of state-of-theart SWIPT techniques. Besides, the works in [27, 28] provide interesting overviews of
potential applications and promising future research paths for SWIPT.
In the early literature, no specific waveform design for the power signal was considered since the RF energy harvester was based on a linear model that depends only on the
received power [25]. Hence, the power signal was usually set as a single tone. However,
when the nonlinearity of the rectifier is considered, it has been noticed that the output DC current not only depends on the circuit parameters but also on the input waveform design [2, 29]. In addition, it has been shown in [30, 31] that high-PAPR waveforms
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Kassab et al. J Wireless Com Network
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provide better performance in terms of energy harvesting. Accordingly, waveform design
became an important factor that should be considered while maximizing the energy harvested to make the best out of an available RF spectrum for the same transmitter power.
In the case of SWIPT, the WPT waveform design has to be taken into consideration
jointly with everything that is related to the information transfer. Several methods were
proposed to have an optimized waveform design for both power and information signals
(i.e., SWIPT waveform design). This waveform design can be based either on a combined
waveform (i.e., one common signal for both WPT and WIT) or on separate waveforms
(i.e., two signals that are clearly distinct but share the same resources). One approach
for combining waveforms was addressed in [32], where a multisine waveform is used
for energy transfer with distinct levels of PAPR acting as information transfer, enabling
a low-energy combined receiver. However, this has a very limited data rate. Other methods using combined wave (...truncated)