Robotic Wireless Energy Transfer in Dynamic Environments: System Design and Experimental Validation

Wang, Shuai; Han, Ruihua; Hong, Yuncong; Hao, Qi; Wen, Miaowen; Musavian, Leila; Mumtaz, Shahid; Ng, Derrick Wing Kwan

doi:10.1109/mcom.001.2100738

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…In order to avoid replacing batteries frequently, IoT networks should be selfsustainable by exploiting wireless energy transfer (WET) technologies [2]. Therefore, considering WET as a new service class with conventional wireless data transfer (WDT) yields integrated data and energy transfer (IDET), which is recognized as one of the potential technologies towards "zero-energy" IoT networks in 6G [3]- [5].…”

Section: Introductionmentioning

confidence: 99%

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Wideband Waveforming for Integrated Data and Energy Transfer: Creating Extra Gain Beyond Multiple Antennas and Multiple Carriers

Wang

Yang

et al. 2024

IEEE Trans. Wireless Commun.

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When wideband signals propagate in a richscatterer 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 integrateddata-and-energy-transfer (IDET) from a single transmitter to multiple receivers. We aim to maximise the downlink fairthroughput 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 minimummean-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-frequencydivision-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-singleoutput orthogonal-frequency-division-multiplex-access (MISO-OFDMA).

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Section: Introductionmentioning

confidence: 99%

“…After processing by the Golay correlator in the transmitter, the CSI quality is boosted quickly[37]. In addition, the CSI is quiet in the indoor environment, which indicates the channel need not to be estimated frequently[38] 3. The waveformer is different from the pulse shape filter.…”

mentioning

confidence: 99%

Wideband Waveforming for Integrated Data and Energy Transfer: Creating Extra Gain Beyond Multiple Antennas and Multiple Carriers

Wang

Yang

et al. 2024

IEEE Trans. Wireless Commun.

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“…The explosive development of Internet of Things (IoT) and wireless sensor networks (WSNs) have significantly promoted the upgrade of smart devices and the corresponding computing‐intensive applications [1–3], especially ultra‐low‐latency applications, such as virtual/augmented reality, and autonomous control [4]. Nevertheless, common smart devices are lack of powerful computation capacity to satisfy these requirements and they also have limited battery life.…”

Section: Introductionmentioning

confidence: 99%

Joint offloading and beamforming design in full‐duplex multi‐hop SWIPT MEC systems under non‐linear energy harvesting model

Liu

et al. 2022

IET Communications

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In Internet of Things scenarios, the problem of restricted energy and limited computation capability of user node usually exists. To address the problem, a multiple-input-multipleoutput full-duplex multi-hop relay simultaneous wireless information and power transfer (SWIPT) mobile-edge computing (MEC) system is proposed in this paper, where energy harvesting model is non-linear. With the aid of MEC and SWIPT, user node equipped with power splitting receiver can locally execute computation tasks or offload partial or all of it to access point associated with an MEC server by using its battery energy, and harvest energy to replenish its battery while downloading the computation results. In addition, the system introduces full-duplex multi-hop relay and non-linear energy model to improve network coverage and model practical energy harvesting circuit. Aiming at minimising the system energy consumption, an energy efficient optimisation problem is formulated while satisfying the latency and energy constraints. Since the original problem is non-linear and non-convex, it is converted into two subproblems and successive convex approximation-based algorithm and geometric programming-based algorithm based alternating optimisation technique are adopted to solve them. Numerical results verify the superiority of the proposed optimisation scheme compared with other benchmark schemes.

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Robust amplitude-limited interval type-3 neuro-fuzzy controller for robot manipulators with prescribed performance by output feedback

Elhaki

Shojaei

Mohammadzadeh

et al. 2022

Neural Comput & Applic

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Robotic Wireless Energy Transfer in Dynamic Environments: System Design and Experimental Validation

Cited by 7 publications

References 15 publications

Wideband Waveforming for Integrated Data and Energy Transfer: Creating Extra Gain Beyond Multiple Antennas and Multiple Carriers

Wideband Waveforming for Integrated Data and Energy Transfer: Creating Extra Gain Beyond Multiple Antennas and Multiple Carriers

Joint offloading and beamforming design in full‐duplex multi‐hop SWIPT MEC systems under non‐linear energy harvesting model

Robust amplitude-limited interval type-3 neuro-fuzzy controller for robot manipulators with prescribed performance by output feedback

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