| Reference : Boosting Quantum Battery-Based IoT Gadgets via RF-Enabled Energy Harvesting |
| Scientific journals : Article | |||
| Engineering, computing & technology : Electrical & electronics engineering | |||
| Security, Reliability and Trust | |||
| http://hdl.handle.net/10993/52998 | |||
| Boosting Quantum Battery-Based IoT Gadgets via RF-Enabled Energy Harvesting | |
| English | |
| Gautam, Sumit [] | |
Solanki, Sourabh  [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >] | |
| Sharma, Shree Krishna [] | |
| Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >] | |
| Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >] | |
| 19-Jul-2022 | |
| Sensors | |
| Multidisciplinary Digital Publishing Institute (MDPI) | |
| 22 | |
| 14 | |
| Energy Harvesting Technologies and Applications for the Internet of Things and Wireless Sensor Networks | |
| 1-19 | |
| Yes | |
| International | |
| 1424-8220 | |
| 1424-3210 | |
| Basel | |
| Switzerland | |
| [en] 5G and beyond/6G wireless networks ; greencom ; IoT ; quantum battery ; RF-energy harvesting ; transmit power optimization | |
| [en] The search for a highly portable and efficient supply of energy to run small-scale wireless
gadgets has captivated the human race for the past few years. As a part of this quest, the idea of realizing a Quantum battery (QB) seems promising. Like any other practically tractable system, the design of QBs also involve several critical challenges. The main problem in this context is to ensure a lossless environment pertaining to the closed-system design of the QB, which is extremely difficult to realize in practice. Herein, we model and optimize various aspects of a Radio-Frequency (RF) Energy Harvesting (EH)-assisted, QB-enabled Internet-of-Things (IoT) system. Several RF-EH modules (in the form of micro- or nano-meter-sized integrated circuits (ICs)) are placed in parallel at the IoT receiver device, and the overall correspondingly harvested energy helps the involved Quantum sources achieve the so-called quasi-stable state. Concretely, the Quantum sources absorb the energy of photons that are emitted by a photon-emitting device controlled by a micro-controller, which also manages the overall harvested energy from the RF-EH ICs. To investigate the considered framework, we first minimize the total transmit power under the constraints on overall harvested energy and the number of RF-EH ICs at the QB-enabled wireless IoT device. Next, we optimize the number of RF-EH ICs, subject to the constraints on total transmit power and overall harvested energy. Correspondingly, we obtain suitable analytical solutions to the above-mentioned problems, respectively, and also cross-validate them using a non-linear program solver. The effectiveness of the proposed technique is reported in the form of numerical results, which are both theoretical and simulations based, by taking a range of operating system parameters into account. | |
| University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > > | |
| FNR-FNRS bilateral InWIP-NET: Integrated Wireless Information and Power Networks (R-AGR-0700-10-X) | |
| Researchers ; Professionals ; Students ; General public | |
| http://hdl.handle.net/10993/52998 | |
| 10.3390/s22145385 | |
| FnR ; FNR11037543 > Bjorn Ottersten > InWIPNET > Integrated Wireless Information And Power Networks > 01/10/2016 > 30/09/2020 > 2015 |
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