Organization
Faculty of Environmental, Life, Natural Science and Technology Lecturer
Position
Lecturer
External link
魏 博
Research Interests
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Multimedia Communications
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Computer Networks
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Quantum Computing
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Deep learning
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IoT
Education
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Waseda University 大学院基幹理工学研究科
2015.4 - 2019.2
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Tianjin University Graduate School of Computer Science and Communicaiton Engineering
2012.9 - 2015.1
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Tianjin University School of Electrical and Electronic Engineering
2008.9 - 2012.6
Research History
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The University of Tokyo The Faculty of Engineering Specially Appointed Assistant Professor
2023.4 - 2025.3
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Japan Science and Technology Agency PRESTO Researcher
2022.10
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Waseda University Faculty of Science and Engineering Assistant Professor
2022.4 - 2023.3
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University of Washington
2020.2 - 2020.3
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Waseda University Faculty of Science and Engineering Assistant Professor
2019.4 - 2022.3
Professional Memberships
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IEICE
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IEEE
Committee Memberships
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IEEE CTSoc MDT Technical Committee Member
2021.3
Papers
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RSSI-CSI Measurement and Variation Mitigation With Commodity Wi-Fi Device
Bo Wei, Hang Song, Jiro Katto, Takamaro Kikkawa
IEEE Internet of Things Journal 10 ( 7 ) 6249 - 6258 2023.4
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Pensieve 5G: Implementation of RL-based ABR Algorithm for UHD 4K/8K Content Delivery on Commercial 5G SA/NR-DC Network
Kasidis Arunruangsirilert, Bo Wei, Hang Song, Jiro Katto
IEEE Wireless Communications and Networking Conference, WCNC 2023-March 2023
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QuDASH: Quantum-Inspired Rate Adaptation Approach for DASH Video Streaming.
Bo Wei, Hang Song, Makoto Nakamura, Koichi Kimura, Nozomu Togawa, Jiro Katto
IEEE Access 11 118462 - 118473 2023
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Performance Evaluation of Low-Latency Live Streaming of MPEG-DASH UHD video over Commercial 5G NSA/SA Network
K. Arunruangsirilert, B. Wei, H. Song, and J. Katto
The 4th International Workshop on Smart City Communication and Networking, ICCCN 2022-July 2022.7
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Multimedia Applications Processing and Computation Resource Allocation in MEC-Assisted SIoT Systems with DVS
X. Li, G. Chen, L. Zhao, B. Wei
Mathematics 10 ( 9 ) 2022.5
MISC
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117 ( 156 ) 111 - 116 2017.7
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BS-3-36 Throughput prediction based on Hidden Markov Model in mobile network(BS-3. Advanced Networking Technologies for Innovative Information Networks)
Wei Bo, Kanai Kenji, Katto Jiro
Proceedings of the IEICE General Conference 2016 ( 2 ) "S - 82"-"S-83" 2016.3
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BS-6-28 Throughput prediction based on stochastic model of mobile network(BS-6.Network and service Design, Control and Management)
Wei Bo, Kanai Kenji, Takenaka Sakiko, Katto Jiro
Proceedings of the Society Conference of IEICE 2015 ( 2 ) "S - 68"-"S-69" 2015.8
Awards
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The World Economic Forum Global Future Council
2019 Fellow
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Women Techmakers Scholar
2018 Google
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Best Paper Award of English Session in IEICE Technical Committee on Information and Communication Management
2016 IEICE
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Otsuki Memorial Scholarship for Asia and Africa Students
2016 Japan
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Best Paper Award of English Session in IEICE Technical Committee on Information and Communication Management
2015 IEICE
Research Projects
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Intelligent network management with integrated communication and sensing
2022.10 - 2026.03
Japan Science and Technology Agency (JST) Precursory Research for Embryonic Science and Technology (PRESTO)
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Adaptive bitrate control strategy for ensuring high-QoE and fair video streaming in multi-user networks
Grant number：20K14740 2020.04 - 2022.03
Japan Society for the Promotion of Science (JSPS) Grants-in-Aid for Scientific Research Grant-in-Aid for Early-Career Scientists Grant-in-Aid for Early-Career Scientists
Wei Bo
Grant amount：\2470000 （ Direct expense: \1900000 、 Indirect expense：\570000 ）
This research focused on developing the adaptive bitrate (ABR) technology to provide high quality and fair video streaming service in multi-user network. To this end, we have designed ABR methods considering the inter-user factors such as fairness, resource allocation to realize equal quality of experience (QoE) in multi-user networks. Through this research, we have proposed ABR models using flexible relaxation scheme, which was able to achieve fair, stable and efficient video streaming. Meanwhile, DASH live video streaming control model was developed using reinforcement learning method to realize high-QoE content delivery. Further, Annealing-based pilot allocation method was proposed to realize optimal pilot allocation and mitigate pilot contamination. The achievements of this research have been published in peer-reviewed flagship international conferences and top journals.
Academic Activities
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IEEE Internet of Things Journal
Role(s)：Peer review
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IEEE Transactions on Vehicular Technology
Role(s)：Peer review
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China Communications
Role(s)：Peer review
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IEEE Access
Role(s)：Peer review