Improper Gaussian signaling for integrated data and energy networking
Improper Gaussian signaling for integrated data and energy networking
The paper considers the problem of beamforming design for a multi-cell network of downlink users, who either harvest energy or decode information or do both by receiving signals from the multi-antenna base station (BS) within a time slot and over the same frequency band. Our previous contributions have showed that the time-fraction based energy and information transmission, under which first the energy is transferred within the initial fraction of time and then the information is transferred within the remaining fraction, is the most efficient design alternative both in terms of its practical implementation and network performance. However, at the time of writing, both energy and information beamforming has only been implemented for proper Gaussian signaling (PGS), which has limited the network's throughput. Although the network throughput could be improved in some specific scenarios by using non-orthogonal multi-access (NOMA), this may compromise the user secrecy. In order to circumvent the above implementations, we conceive improper Gaussian signaling (IGS) for information beamforming, which enables the network to substantially improve its throughput in any scenario without jeopardizing the user secrecy despite its low-complexity signal processing at the user end. A simpler subclass of IGS is also considered, which also outperforms NOMA PGS and works under any arbitrary scenario.
energy-harvesting, energy-harvesting constraint, Improper Gaussian signaling, information throughput, multi-cell system, nonconvex optimization
3922-3934
Yu, Hongwen
e9746241-66a1-4dfb-ad49-c364c8f69321
Tuan, Hoang Duong
423ee18d-ebc7-44d9-9264-3819b63779eb
Duong, Trung Q.
9013dc6d-f5bb-4bd9-9b64-8eea94b09eda
Fang, Yong
ee01e563-d859-4b84-a6da-c60a530de500
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
1 June 2020
Yu, Hongwen
e9746241-66a1-4dfb-ad49-c364c8f69321
Tuan, Hoang Duong
423ee18d-ebc7-44d9-9264-3819b63779eb
Duong, Trung Q.
9013dc6d-f5bb-4bd9-9b64-8eea94b09eda
Fang, Yong
ee01e563-d859-4b84-a6da-c60a530de500
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Yu, Hongwen, Tuan, Hoang Duong, Duong, Trung Q., Fang, Yong and Hanzo, Lajos
(2020)
Improper Gaussian signaling for integrated data and energy networking.
IEEE Transactions on Communications, 68 (6), , [9039558].
(doi:10.1109/TCOMM.2020.2981332).
Abstract
The paper considers the problem of beamforming design for a multi-cell network of downlink users, who either harvest energy or decode information or do both by receiving signals from the multi-antenna base station (BS) within a time slot and over the same frequency band. Our previous contributions have showed that the time-fraction based energy and information transmission, under which first the energy is transferred within the initial fraction of time and then the information is transferred within the remaining fraction, is the most efficient design alternative both in terms of its practical implementation and network performance. However, at the time of writing, both energy and information beamforming has only been implemented for proper Gaussian signaling (PGS), which has limited the network's throughput. Although the network throughput could be improved in some specific scenarios by using non-orthogonal multi-access (NOMA), this may compromise the user secrecy. In order to circumvent the above implementations, we conceive improper Gaussian signaling (IGS) for information beamforming, which enables the network to substantially improve its throughput in any scenario without jeopardizing the user secrecy despite its low-complexity signal processing at the user end. A simpler subclass of IGS is also considered, which also outperforms NOMA PGS and works under any arbitrary scenario.
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More information
e-pub ahead of print date: 17 March 2020
Published date: 1 June 2020
Additional Information:
Funding Information:
Manuscript received October 8, 2019; revised January 24, 2020 and March 5, 2020; accepted March 5, 2020. Date of publication March 17, 2020; date of current version June 16, 2020. H. D. Tuan would like to acknowledge the financial support of the Institute for Computational Science and Technology, Hochiminh City, Vietnam, and of the Australian Research Council’s Discovery Projects under Project DP190102501. T. Q. Duong would like to acknowledge the financial support of the U.K. Royal Academy of Engineering Research Fellowship under Grant RF1415\14\22. Y. Fang would like to acknowledge the financial support of the National Natural Science Foundation of China (61673253). L. Hanzo would like to acknowledge the financial support of the Engineering and Physical Sciences Research Council projects EP/Noo4558/1, EP/PO34284/1, and COALESCE, of the Royal Society’s Global Challenges Research Fund Grant as well as of the European Research Council’s Advanced Fellow Grant QuantCom. The associate editor coordinating the review of this article and approving it for publication was C.-H. Lee. (Corresponding author: Lajos Hanzo.) Hongwen Yu is with the School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China, and also with the School of Electrical and Data Engineering, University of Technology Sydney, Broadway, NSW 2007, Australia (e-mail: hongwenyu@shu.edu.cn).
Publisher Copyright:
© 1972-2012 IEEE.
Keywords:
energy-harvesting, energy-harvesting constraint, Improper Gaussian signaling, information throughput, multi-cell system, nonconvex optimization
Identifiers
Local EPrints ID: 458114
URI: http://eprints.soton.ac.uk/id/eprint/458114
ISSN: 0090-6778
PURE UUID: b54505c8-69b3-4804-ae50-ec1e32177f8e
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Date deposited: 28 Jun 2022 17:12
Last modified: 18 Mar 2024 02:36
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Contributors
Author:
Hongwen Yu
Author:
Hoang Duong Tuan
Author:
Trung Q. Duong
Author:
Yong Fang
Author:
Lajos Hanzo
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