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Design of energy modulation Massive SIMO Transceivers via Machine Learning

Journal of Communications and Information Networks 2020年第3期5卷 358-368页

作者： Muhang Lan Jianhao Huang Han Zhang Chuan Huang National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of ChinaChengdu 611731China The Future Network of Intelligence Institute and the School of Science and Engineering the Chinese University of Hong KongShenzhen 518172China Department of Electrical and Computer Engineering University of CaliforniaDavis 95616USA

This paper considers a massive single-input multiple-output(SIMO)system,where multiple singleantenna transmitters simultaneously communicate with a receiver equipped with a large number of *** from the conventional noncoherent transceivers which require a certain level of the statistical information on the channel fading,we propose a joint transceiver design method based on machine learning,requiring a limited number of channel *** the proposed method,the multiple transmitters,the channel,and the receiver are represented with a deep neural network(NN),and an autoencoder is adopted to minimize the end-to-end transmission error ***,the relationship between the number of training samples and the transmission error probability is analyzed based on the confidence interval *** results show that the proposed NN-based transceiver achieves lower transmission error probability in typical scenarios,and is more robust against the channel parameters variation compared with the existing methods.

关键词： neural network(NN) energy modulation massive single-input multiple-output(SIMO) joint transceiver design confidence interval

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Picosecond burst pulse machining with temporal energy modulation [Invited]

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Chinese Optics Letters 2020年第12期18卷 83-87页

作者： Akinao Nakamura Tomoki Mizuta Yasuhiko Shimotsuma Masaaki Sakakura Tomohito Otobe Masahiro Shimizu Kiyotaka Miura Department of Material Chemistry Graduate School of EngineeringKyoto UniversityKyoto 615-8510Japan National Institutes for Quantum and Radiological Science and Technology Kansai Photon Science InstituteKyoto 619-0215Japan

Suppression of stress and crack generation during picosecond laser processing in transparent brittle materials such as glass was successfully demonstrated by a picosecond laser pulse with temporal energy *** origin of deterioration in processing accuracy could be interpreted in terms of the discontinuous movement of plasma in the vicinity of the *** reveal the effectiveness of the temporal energy modulation for smootli machining,such plasma motion was simulated by the fiidtc-d ifference time-domain method.F urt her more,photoinduced birefringence was observed using a high-speed polarization camera.

关键词： picosecond laser energy modulation burst pulse material processing stress distribution

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Picosecond burst pulse machining with temporal energy modulation

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Chinese Optics Letters 2020年第12期18卷 87-91页

作者： Akinao Nakamura Tomoki Mizuta Yasuhiko Shimotsuma Masaaki Sakakura Tomohito Otobe Masahiro Shimizu Kiyotaka Miura Department of Material Chemistry Graduate School of Engineering Kyoto University National Institutes for Quantum and Radiological Science and Technology Kansai Photon Science Institute

Suppression of stress and crack generation during picosecond laser processing in transparent brittle materials such as glass was successfully demonstrated by a picosecond laser pulse with temporal energy modulation. The origin of deterioration in processing accuracy could be interpreted in terms of the discontinuous movement of plasma in the vicinity of the focus. To reveal the effectiveness of the temporal energy modulation for smooth machining, such plasma motion was simulated by the finite-difference time-domain method. Furthermore, photoinduced birefringence was observed using a high-speed polarization camera.

关键词： Burst pulse energy modulation Material processing Picosecond laser Stress distribution

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