Simultaneously Wireless InFormation and energy Transfer (SWIFT)

Lead Research Organisation: Lancaster University
Department Name: Computing & Communications

Abstract

Information and energy are two fundamental notions in nature with critical impact on all aspects of life. All living and machine entities rely on both information and energy for their existence. Most, if not all, processes in life involve transforming, storing or transferring energy or information in one form or the other. Although these concepts are in harmony in nature, in traditional engineering design, information and energy are handled by two separate systems with limited interaction. In wireless communications, the relationship between information and energy is even more apparent as radio waves that carry information also transfer energy. Indeed, the first use of radio waves was for energy transfer rather than information transmission. However, despite the pioneering work of Tesla, who experimentally demonstrated wireless energy transfer (WET) in the late 19th century, modern wireless communication systems mainly focus on the information content of the radio-frequency (RF) radiation, neglecting the energy transported by the signal. This project is the first interdisciplinary initiative to promote innovation and technology transfer between academia and industry in the UK for one of the most challenging and most important problems in future communication networks: The simultaneous transfer of both energy and information. The aim of this project is to develop a new theoretical framework for the design and operation of next-generation networks with simultaneously wireless information and energy transfer (SWIFT) capabilities. The research efforts are interdisciplinary and bring together researchers with strong and complementary backgrounds in the domain of wireless communications such as electronics/microwave engineering, information theory, game theory, control theory, and communication theory to bridge the gap between theory and practice of future WET-based communication systems.

Planned Impact

In wireless communication systems, information transfer is accomplished by transmitting electromagnetic waves. In this case, information is modulated onto a carrier signal, which conveys not only information, but also energy from the transmitter to the receiver. Wireless energy transfer (WET), pioneered by Tesla more than 100 years ago, is an idea at least as old as radio communications. However, due to health concerns and the large antenna dimensions required for transmission of high energy levels, until recently WET has been limited mostly to very short distance applications. In particular, recent advances in silicon technology have significantly reduced the energy needs of electronic systems, making WET over radio waves a potential source of energy for low power devices.

The SWIFT project constitutes UK's first collaborative effort to address the fundamental practical and theoretical aspects of WET in future wireless networks. By bringing together experts from electronics/microwave engineering, information theory, control theory, and wireless communication, this project aims to 1) provide a rigorous and complete mathematical theory for SWIFT via information/communication/control theoretic studies; 2) investigate key physical and cross-layer mechanisms that will enable the integration of SWIFT into future wireless systems; 3) identify new network architectures that will fully exploit the potential benefits of SWIFT; and 4) implement SWIFT in a real-world application scenario in a sophisticated internet of things system consisting of MEMS multi-antenna robots and state of the art sensors.

The results of this interdisciplinary project can find various applications (such as the radio-frequency identification (RFID) technology, healthcare monitoring, etc.), where radio wave based information and energy transmissions have largely been designed separately. For example, wireless implants can be charged and calibrated concurrently with the same signal, wireless sensor nodes can be charged with the control signals they receive from the access point, and mobile phones can download emails while being wirelessly charged. SWIFT will create a platform of scientific and technical exchange between the project partners and other academic and industrial institutions spread all over the world via the organization of scientific meetings in the UK around relevant topics for the development of UK WET technologies covering a plethora of new applications. Immediate industrial beneficiaries of this project are companies involved in developing energy harvesting systems and robust wireless sensor networks for the purpose of environmental monitoring or military controlling. The whole UK economy and society will benefit indirectly, as the project aims at building on the UK's reputation for providing energy and spectral efficient communication solutions. Areas of high value to society that will also directly benefit from this research include education and training. In addition to the researchers directly involved in the project, there will be wider benefits to students at the Universities, from involvement in cutting edge research which will feed through into teaching activities. The PIs have a good history of collaboration with industry and use research to inform teaching at higher levels.

Publications

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Chen Z (2016) Cooperative Transmission in Simultaneous Wireless Information and Power Transfer Networks in IEEE Transactions on Vehicular Technology

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Cui J (2018) Outage Probability Constrained MIMO-NOMA Designs Under Imperfect CSI in IEEE Transactions on Wireless Communications

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Cui J (2016) A Novel Power Allocation Scheme Under Outage Constraints in NOMA Systems in IEEE Signal Processing Letters

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Cumanan K (2016) Secrecy Rate Optimization for Secure Multicast Communications in IEEE Journal of Selected Topics in Signal Processing

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Ding Z (2016) Design of Massive-MIMO-NOMA With Limited Feedback in IEEE Signal Processing Letters

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Ding Z (2016) Relay Selection for Cooperative NOMA in IEEE Wireless Communications Letters

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Ding Z (2018) On the Coexistence Between Full-Duplex and NOMA in IEEE Wireless Communications Letters

Related Projects

Project Reference Relationship Related To Start End Award Value
EP/N005597/1 01/12/2015 09/04/2018 £305,891
EP/N005597/2 Transfer EP/N005597/1 10/04/2018 30/05/2019 £97,239
 
Description The SWIFT project constitutes a paradigm shift of foundational character in future wireless networks as it targets fundamental issues regarding the modelling, analysis, and design of wireless communication systems with SWIFT capabilities. Towards these goals, the key findings from this research projects are listed as follows:
1.) SWIFT opens the door to a completely different way of understanding energy and spectral efficiency in wireless systems. We have utilized mathematical tools, such as stochastic modelling and geometry, random matrix theory, game theory, and characterized the trade-off between energy, system throughput, fairness, and reliability.
2.) In contrast to conventional WET networks, which passively harvest, SWIFT enables a fully controlled RF energy harvesting (EH) process by simultaneously transferring data and energy. We have studied active EH which further ensures robustness and reliability by reducing or even eliminating the dependence on ambient RF energy.
3.) SWIFT introduces a trade-off between information and energy transfer. This trade-off necessitates novel designs at all levels of the protocol stack. Sophisticated cross-layer approaches have been designed by bringing advanced physical layer techniques, such as full duplexing and massive multiple-input multiple-output (MIMO), together with dynamic resource allocation protocols.
Exploitation Route Our research outcomes have been shared with the research community by publishing our works in international leading journals, including the preprints of our articles in arxiv and Researchgate, and presenting various tutorials and keynotes in international conferences.
Sectors Digital/Communication/Information Technologies (including Software),Energy

URL https://personalpages.manchester.ac.uk/staff/zhiguo.ding/index
 
Description In wireless communication systems, information transfer is accomplished by transmitting electromagnetic waves. In this case, information is modulated onto a carrier signal, which conveys not only information, but also energy from the transmitter to the receiver. Wireless energy transfer (WET), pioneered by Tesla more than 100 years ago, is an idea at least as old as radio communications. However, due to health concerns and the large antenna dimensions required for transmission of high energy levels, until recently WET has been limited mostly to very short distance applications. In particular, recent advances in silicon technology have significantly reduced the energy needs of electronic systems, making WET over radio waves a potential source of energy for low power devices. The SWIFT project constitutes UK's first collaborative effort to address the fundamental practical and theoretical aspects of WET in future wireless networks. By bringing together experts from electronics/micro-wave engineering, information theory, control theory, and wireless communication, this project aims to 1) provide a rigorous and complete mathematical theory for WIET via information/communication/control theoretic studies; 2) investigate key physical and cross-layer mechanisms that will enable the integration of WIET into future wireless systems; 3) identify new network architectures that will fully exploit the potential benefits of WIET; and 4) implement WIET in a real-world application scenario in a sophisticated internet of things system consisting of MEMS multi-antenna robots and state of the art sensors. Our findings have attracted a lot of attention from the research community. For example, the following paper has been recognized as Web of Science Hot Paper (A hot paper received enough citations to place it in the top 0.1% of papers in the academic field of Engineering.) Performance Analysis and Optimization for SWIPT Wireless Sensor Networks, IEEE TCOM, 2017. And the following two papers have been recognized as Web of Science Highly Cited Papers (A hot paper received enough citations to place it in the top 1% of papers in the academic field of Engineering.) Cooperative Non-orthogonal Multiple Access With Simultaneous Wireless Information and Power Transfer, IEEE JSAC, 2017 Pan G., Ye J., Ding Z., Secure Hybrid VLC-RF Systems with Light Energy Harvesting. IEEE TCOM, 2017
First Year Of Impact 2018
Sector Electronics,Energy
Impact Types Cultural,Societal

 
Description A tutorial about Non-Orthogonal Multiple Access 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact Multiple access in 5G mobile networks is an emerging research topic, since it is key for the next generation network to keep pace with the exponential growth of mobile data and multimedia traffic. Non-orthogonal multiple access (NOMA) has recently received considerable attention as a promising candidate for 5G multiple access. The key idea of NOMA is to exploit the power domain for multiple access, which means multiple users can be served concurrently at the same time, frequency, and spreading code. Instead of using water-filling power allocation strategies, NOMA allocates more power to the users with poorer channel conditions, with the aim to facilitate a balanced tradeoff between system throughput and user fairness. Recent industrial demonstrations show that the use of NOMA can significantly improve the spectral efficiency of mobile networks. Because of such a superior performance, NOMA has been also recently proposed for downlink scenarios in 3rd generation partnership project long-term evolution (3GPPLTE) systems, and the considering technique was termed multiuser superposition transmission (MUST). In this tutorial, we will provide a progress review for NOMA, including an information theoretic perspective of NOMA, the interaction between cognitive radio and NOMA, the design of MIMO and cooperative NOMA, and the impact of practical constraints, such as imperfect channel state information and limited feedback, on the performance of NOMA.
Year(s) Of Engagement Activity 2006
URL http://iccc2016.ieee-iccc.org/program/tutorials/