Wang, Zhonglun and Hu, Jie and Yang, Kun and Wong, Kai-Kit (2023) Wideband Waveforming for Integrated Data and Energy Transfer: Creating Extra Gain Beyond Multiple Antennas and Multiple Carriers. IEEE Transactions on Wireless Communications, 23 (4). pp. 2855-2868. DOI https://doi.org/10.1109/twc.2023.3303415
Wang, Zhonglun and Hu, Jie and Yang, Kun and Wong, Kai-Kit (2023) Wideband Waveforming for Integrated Data and Energy Transfer: Creating Extra Gain Beyond Multiple Antennas and Multiple Carriers. IEEE Transactions on Wireless Communications, 23 (4). pp. 2855-2868. DOI https://doi.org/10.1109/twc.2023.3303415
Wang, Zhonglun and Hu, Jie and Yang, Kun and Wong, Kai-Kit (2023) Wideband Waveforming for Integrated Data and Energy Transfer: Creating Extra Gain Beyond Multiple Antennas and Multiple Carriers. IEEE Transactions on Wireless Communications, 23 (4). pp. 2855-2868. DOI https://doi.org/10.1109/twc.2023.3303415
Abstract
When wideband signals propagate in a rich-scatterer environment, we obtain abundant resolvable multiple transmission paths to form a number of virtual antennas. Therefore, substantial spatial gain can be attained by carefully waveforming in all these resolvable transmission paths without additional antennas. This resultant spatial gain is then exploited for improving the performance of integrated-data-and-energy-transfer (IDET) from a single transmitter to multiple receivers. We aim to maximise the downlink fair-throughput and sum-throughput, while satisfying the energy harvesting requirements by jointly optimising the waveformers at the transmitter and the power splitters at the receivers. A low-complexity fractional-programming (FP) based alternating algorithm is proposed to solve these non-convex optimisation problems. The non-convex wireless energy transfer (WET) constraints are transformed to be convex with a modified quadratic transform (MQT) method. As a result, the stationary points for both the fair-throughput and the sum-throughput maximisation problems are obtained. The numerical results demonstrate the advantage of our proposed algorithm over a minimum-mean-square-error (MMSE) scheme, a zero-forcing (ZF) scheme and a time-reversal (TR) scheme. Simulation results show that the wireless data transfer (WDT) performance of our scheme outperforms the single-input-single-output orthogonal-frequency-division-multiple-access (SISO-OFDMA) when the output direct current (DC) power requirement is high. When we have a practical individual subcarrier power constraint, the WDT performance of our scheme outperforms multiple-input-single-output orthogonal-frequency-division-multiplex-access (MISO-OFDMA).
Item Type: | Article |
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Uncontrolled Keywords: | Receivers; Wideband; Symbols; OFDM; Transmitters; Wireless communication; Spatial resolution; Wideband communication; wideband waveformer; integrated data and energy transfer (IDET); fractional programming (FP) |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 19 Sep 2023 13:20 |
Last Modified: | 07 Aug 2024 16:15 |
URI: | http://repository.essex.ac.uk/id/eprint/36425 |
Available files
Filename: Wideband_Waveforming_for_Integrated_Data_and_Energy_Transfer_Creating_Extra_Gain_Beyond_Multiple_Antennas_and_Multiple_Carriers.pdf