Modulated waveform design for optimal microwave simultaneous wireless information and power transfer

Publication Type:
Thesis
Issue Date:
2024
Full metadata record
The Internet of Things (IoT) envisions a global wireless network where trillions of wireless sensors are connected via the Internet, generating data from a diverse range of applications. Wireless standards such as 5G and beyond will underpin the growth in the ubiquitous deployment of IoT devices. To make such deployments feasible, there is a need for sustainable batteryless energy sources. One promising technology aiming to provide both power and data transfer is Simultaneous Wireless Information and Power Transfer (SWIPT). SWIPT provides an energy-efficient solution by exploiting the same communication signal for data transfer as well as Wireless Power Transfer (WPT). The transferred output power to the sensor is not only a function of received signal power but also of the received signal shape. Therefore, high peak-to-average power ratio (PAPR) waveforms came into the picture to increase WPT. However, these high PAPR waveforms deteriorate the Wireless Information Transfer (WIT) performance due to the saturation of the non-linear amplifier at the transmitter, and the transmission of data over these waveforms reduces WPT. Therefore, it is necessary to design waveforms to maximize the trade-off between the information rate and extracted power at the receiver. This thesis aims to design modulated waveforms carrying information while simultaneously maximizing the output power. A Multitone PSK waveform has been proposed for the rectifier-receiver so that information detection is possible with only a rectifier reducing the overall power consumption at the sensor node. A rectifier circuitry with an optimum power conversion efficiency over a required bandwidth is designed and fabricated. The SWIPT performance of the designed waveform signal is studied with the measurements. Next, a Multitone ASK waveform is proposed by transmitting information in tones’ amplitude levels. The WPT and WIT performances of the waveform are analyzed. The performance of the designed signal with the symbol level and the effect of different distributions for symbol levels is analyzed for increasing WPT performance. Finally, a combined Multitone QAM is proposed by using both phases and amplitudes for information transfer offering a higher data rate. QAM symbol constellation is redesigned and two asymmetric QAM constellations are introduced to enhance the WPT performance of the system due to varying amplitudes. The designed waveforms offer the benefit of reducing the overall power consumption at the sensor nodes for future SWIPT-enabled IoT WSNs.
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