Communications

Wireless and optical communications.

We conduct advanced research in wireless and optical communications from the network layer down to the physical layer, including highly reliable machine-to-machine wireless networks, routing and scheduling for IoT networks, massive MIMO for 5G systems, flexible wideband RF front-end architectures, advanced error correction coding, and novel modulation and transmission techniques with adaptive signal processing for coherent fiber-optic and free-space optical communications.

  • Researchers

  • Awards

    •  AWARD    Japan Telecommunications Advancement Foundation Award
      Date: March 15, 2022
      Awarded to: Yukimasa Nagai, Jianlin Guo, Philip Orlik, Takenori Sumi, Benjamin A. Rolfe and Hiroshi Mineno
      MERL Contacts: Jianlin Guo; Philip V. Orlik
      Research Areas: Communications, Machine Learning
      Brief
      • MELCO/MERL research paper “Sub-1 GHz Frequency Band Wireless Coexistence for the Internet of Things” has won the 37th Telecommunications Advancement Foundation Award (Telecom System Technology Award) in Japan. This award started in 1984, and is given to research papers and works related to information and telecommunications that have made significant contributions and achievements to the advancement, development, and standardization of information and telecommunications from technical and engineering perspectives. The award recognizes both the IEEE 802.19.3 standardization efforts and the technological advancements using reinforcement learning and robust access methodologies for wireless communication system. This year, there were 43 entries with 5 winning awards and 3 winning encouragement awards. This is the first time MELCO/MERL has received this award. Our paper has been published by IEEE Access in 2021 and authors are Yukimasa Nagai, Jianlin Guo, Philip Orlik, Takenori Sumi, Benjamin A. Rolfe and Hiroshi Mineno.
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    •  AWARD    Toshiaki Koike-Akino elected Fellow of Optica
      Date: November 18, 2021
      Awarded to: Toshiaki Koike-Akino
      MERL Contact: Toshiaki Koike-Akino
      Research Areas: Communications, Electronic and Photonic Devices, Signal Processing
      Brief
      • Toshiaki Koike-Akino's research activities in communications, error control coding and optical technologies at MERL have earned him election as a Fellow Member of Optica (formerly OSA), the foremost professional association in optics and photonics worldwide. Fellow membership in Optica is limited to no more than ten percent of the membership and is reserved for members who have served with distinction in the advancement of optics and photonics. Koike-Akino is one of 106 members from 24 countries in Optica’s 2022 Fellows Class, elected during the Board of Directors of Optica meeting held on 2nd of November, 2021.

        “Congratulations to the 2022 Optica Fellows,” said 2021 President Connie Chang-Hasnain, University of California, Berkeley, USA. “These members exemplify what it means to be a leader in optics and photonics. Your election, by your peers, confirms the important contributions made within our field. Thank you for your dedication to Optica, and for advancing the science of light.”

        Koike-Akino's elevation to Fellow is specifically “for outstanding and innovative contributions to R&D in enabling technologies for optical communications, including nonlinear equalizers, high-dimensional modulations, and FEC (Forward Error Correction),” said Meredith Smith, Director, Optica Awards and Honors Office. "Again, congratulations on joining this esteemed group of Optica members."

        About Optica

        Optica (formerly OSA) is dedicated to promoting the generation, application, archiving and dissemination of knowledge in optics and photonics worldwide. Founded in 1916, it is the leading organization for scientists, engineers, business professionals, students and others interested in the science of light. Optica’s renowned publications, meetings, online resources and in-person activities fuel discoveries, shape real-life applications and accelerate scientific, technical and educational achievement.
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    •  AWARD    Excellent Presentation Award
      Date: January 25, 2021
      Awarded to: Takenori Sumi, Yukimasa Nagai, Jianlin Guo, Philip Orlik, Tatsuya Yokoyama, Hiroshi Mineno
      MERL Contacts: Jianlin Guo; Philip V. Orlik
      Research Areas: Communications, Machine Learning, Signal Processing
      Brief
      • MELCO and MERL researchers have won "Excellent Presentation Award" at the IPSJ/CDS30 (Information Processing Society of Japan/Consumer Devices and Systems 30th conferences) held on January 25, 2021. The paper titled "Sub-1 GHz Coexistence Using Reinforcement Learning Based IEEE 802.11ah RAW Scheduling" addresses coexistence between IEEE 802.11ah and IEEE 802.15.4g systems in the Sub-1 GHz frequency bands. This paper proposes a novel method to allocate IEEE 802.11 RAW time slots using a Q-Learning technique. MERL and MELCO have been leading IEEE 802.19.3 coexistence standard development and this paper is a good candidate for future standard enhancement. The authors are Takenori Sumi, Yukimasa Nagai, Jianlin Guo, Philip Orlik, Tatsuya Yokoyama and Hiroshi Mineno.
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  • News & Events

    •  NEWS    MERL Scientists Presenting 5 Papers at IEEE International Conference on Communications (ICC) 2022
      Date: May 16, 2022 - May 20, 2022
      Where: Seoul, Korea
      MERL Contacts: Jianlin Guo; Kyeong Jin (K.J.) Kim; Toshiaki Koike-Akino; Philip V. Orlik; Kieran Parsons; Pu (Perry) Wang; Ye Wang
      Research Areas: Artificial Intelligence, Communications, Computational Sensing, Computer Vision, Machine Learning, Signal Processing
      Brief
      • MERL Connectivity & Information Processing Team scientists remotely presented 5 papers at the IEEE International Conference on Communications (ICC) 2022, held in Seoul Korea on May 16-20, 2022. Topics presented include recent advancements in communications technologies, deep learning methods, and quantum machine learning (QML). Presentation videos are also found on our YouTube channel. In addition, K. J. Kim organized "Industrial Private 5G-and-beyond Wireless Networks Workshop" at the conference.

        IEEE ICC is one of two IEEE Communications Society’s flagship conferences (ICC and Globecom). Each year, close to 2,000 attendees from over 70 countries attend IEEE ICC to take advantage of a program which consists of exciting keynote session, robust technical paper sessions, innovative tutorials and workshops, and engaging industry sessions. This 5-day event is known for bringing together audiences from both industry and academia to learn about the latest research and innovations in communications and networking technology, share ideas and best practices, and collaborate on future projects.
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    •  NEWS    MERL's On-Orbit 3D Printing Technology Featured in Mitsubishi Electric Corporation Press Release
      Date: May 17, 2022
      Where: Tokyo, Japan
      MERL Contacts: Avishai Weiss; William S. Yerazunis
      Research Areas: Applied Physics, Communications
      Brief
      • Mitsubishi Electric Corporation announced that the company has developed an on-orbit additive-manufacturing technology that uses photosensitive resin and solar ultraviolet light for the freeform printing of satellite antennas in the vacuum of outer space.

        The novel technology makes use of a newly developed liquid resin that was custom formulated for stability in vacuum. The resin enables structures to be fabricated in space using a low-power process that utilizes the sun’s ultraviolet rays for photopolymerization. The technology specifically addresses the challenge of equipping small, inexpensive spacecraft buses with large structures, such as high-gain antenna reflectors, and enables on-orbit fabrication of structures that greatly exceed the dimensions of launch vehicle fairings. Resin-based on-orbit manufacturing is expected to enable spacecraft structures to be made thinner and lighter than conventional designs, which must survive the stresses of launch and orbital insertion, thereby reducing both total satellite weight and launch costs.

        Mitsubishi Electric’s resin-based on-orbit manufacturing enables small satellites to have large satellite capability, which reduces launch costs and allows for satellite technology to be used more than ever in applications such as communication and Earth observation. The technology is based on recent research by MERL's Control for Autonomy and Data Analytics groups.









        Links:

        Mitsubishi Electric Corporation Press Release
        SatMagazine: UV In The Sky With Resin: A novel, on-orbit manufacturing technique
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  • Research Highlights

  • Internships

    • CI1711: Advanced Network Design

      MERL is seeking a highly motivated and qualified intern to join the Signal Processing Group for a three month internship program. The ideal candidate will be expected to carry out research on network design and optimization methods including AI assisted networking. The candidate is expected to develop innovative network configuration technologies to support emerging IoT applications. The candidates should have knowledge of network technologies such as network slicing, software defined networking and/or semantic networking. Knowledge of the communication technologies such as 3GPP-5G or IEEE 802 WLAN/WPAN standards is a plus. Candidates in their junior or senior years of a Ph.D. program are encouraged to apply.

    • CI1733: ML for GNSS-based Applications

      MERL is seeking a highly motivated, qualified intern to work on machine learning for Global Navigation Satellite System (GNSS) applications. The ideal candidate is working towards a PhD and is expected to develop innovative machine learning technologies to increase accuracy and integrity of GNSS-based positioning systems. Candidates should have strong knowledge about as many as possible of GNSS signal processing for multipath mitigation, handling RINEX data, neural network and learning techniques, such as feature extraction, deep machine learning, reinforcement learning, domain adaptation, and distributed learning. Proficient programming skills with PyTorch, Matlab, and C++, and strong mathematical analysis will be additional assets to this position. Candidates in their junior or senior years of a Ph.D. program are encouraged to apply.

    • MD1696: Advanced RF Technologies

      Mitsubishi Electric Research Laboratories (Cambridge, MA) is seeking a highly motivated, qualified individual to join our 3 month internship program of research on advanced RF technologies. The ideal candidate should be a senior Ph.D. student with good experience in microwave power amplifier/RF active circuit design and experiment, RF front end systems. Familiarity with ADS and Matlab is required. Knowledge of radio system architecture and FPGA (signal processing) would be an asset.


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  • Recent Publications

    •  Liu, B., Koike-Akino, T., Wang, Y., Parsons, K., "Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems", IEEE International Conference on Communications (ICC), May 2022.
      BibTeX TR2022-052 PDF Video Presentation
      • @inproceedings{Liu2022may3,
      • author = {Liu, Bryan and Koike-Akino, Toshiaki and Wang, Ye and Parsons, Kieran},
      • title = {Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems},
      • booktitle = {IEEE International Conference on Communications (ICC)},
      • year = 2022,
      • month = may,
      • url = {https://www.merl.com/publications/TR2022-052}
      • }
    •  song, H., Kim, K.J., Guo, J., Orlik, P.V., Parsons, K., "Semi-Persistent Scheduling Scheme for Low-Latency and High-Reliability Transmissions in Private 5G Networks", IEEE International Conference on Communications Workshops (ICC), May 2022.
      BibTeX TR2022-050 PDF
      • @inproceedings{song2022may,
      • author = {song, Hao and Kim, Kyeong Jin and Guo, Jianlin and Orlik, Philip V. and Parsons, Kieran},
      • title = {Semi-Persistent Scheduling Scheme for Low-Latency and High-Reliability Transmissions in Private 5G Networks},
      • booktitle = {IEEE International Conference on Communications Workshops (ICC)},
      • year = 2022,
      • month = may,
      • url = {https://www.merl.com/publications/TR2022-050}
      • }
    •  Koike-Akino, T., Pu, W., Wang, Y., "Quantum Transfer Learning for Wi-Fi Sensing", IEEE International Conference on Communications (ICC), May 2022.
      BibTeX TR2022-044 PDF Video Presentation
      • @inproceedings{Koike-Akino2022may2,
      • author = {Koike-Akino, Toshiaki and Pu, Wang and Wang, Ye},
      • title = {Quantum Transfer Learning for Wi-Fi Sensing},
      • booktitle = {IEEE International Conference on Communications (ICC)},
      • year = 2022,
      • month = may,
      • url = {https://www.merl.com/publications/TR2022-044}
      • }
    •  Ma, Y., Guo, J., Wang, Y., Chakrabarty, A., Ahn, H., Orlik, P.V., Guan, X., Lu, C., "Optimal Dynamic Transmission Scheduling for Wireless Networked Control Systems", IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, May 2022.
      BibTeX TR2022-043 PDF
      • @article{Ma2022may,
      • author = {Ma, Yehan and Guo, Jianlin and Wang, Yebin and Chakrabarty, Ankush and Ahn, Heejin and Orlik, Philip V. and Guan, Xinping and Lu, Chenyang},
      • title = {Optimal Dynamic Transmission Scheduling for Wireless Networked Control Systems},
      • journal = {IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY},
      • year = 2022,
      • month = may,
      • url = {https://www.merl.com/publications/TR2022-043}
      • }
    •  Yu, J., Pu, W., Koike-Akino, T., Orlik, P.V., "Multi-Modal Recurrent Fusion for Indoor Localization", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP43922.2022.9746071, April 2022.
      BibTeX TR2022-018 PDF
      • @inproceedings{Yu2022apr,
      • author = {Yu, Jianyuan and Pu, Wang and Koike-Akino, Toshiaki and Orlik, Philip V.},
      • title = {Multi-Modal Recurrent Fusion for Indoor Localization},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2022,
      • month = apr,
      • publisher = {IEEE},
      • doi = {10.1109/ICASSP43922.2022.9746071},
      • issn = {2379-190X},
      • isbn = {978-1-6654-0540-9},
      • url = {https://www.merl.com/publications/TR2022-018}
      • }
    •  Nagai, Y., Guo, J., Sumi, T., Orlik, P.V., Rolfe, B.A., Mineno, H., "Sub-1 GHz Frequency Band Wireless Coexistence for the Internet of Things", IEEE Access, March 2022.
      BibTeX TR2022-037 PDF
      • @article{Nagai2022mar,
      • author = {Nagai, Yukimasa and Guo, Jianlin and Sumi, Takenori and Orlik, Philip V. and Rolfe, Benjamin A. and Mineno, Hiroshi},
      • title = {Sub-1 GHz Frequency Band Wireless Coexistence for the Internet of Things},
      • journal = {IEEE Access},
      • year = 2022,
      • month = mar,
      • url = {https://www.merl.com/publications/TR2022-037}
      • }
    •  Wen, M., Li, Q., Kim, K.J., L\'opez-P\'erez, D., Dobre, O.A., Poor, H.V., Popovski, P., Tsiftsis, T.A., "Private 5G Networks: Concepts, Architectures, and Research Landscape", IEEE Journal of Selected Topics in Signal Processing, March 2022.
      BibTeX TR2022-036 PDF
      • @article{Wen2022mar,
      • author = {Wen, Miaowen and Li, Qiang and Kim, Kyeong Jin and L\'opez-P\'erez, David and Dobre, Octavia A. and Poor, H. Vincent and Popovski, Petar and Tsiftsis, Theodoros A.},
      • title = {Private 5G Networks: Concepts, Architectures, and Research Landscape},
      • journal = {IEEE Journal of Selected Topics in Signal Processing},
      • year = 2022,
      • month = mar,
      • url = {https://www.merl.com/publications/TR2022-036}
      • }
    •  Jin, S., Pu, W., Boufounos, P.T., Orlik, P.V., Roy, S., "Automotive Radar Interference Mitigation with Fast-Time-Frequency Mode Retrieval", IEEE Radar Conference (RadarCon), March 2022.
      BibTeX TR2022-029 PDF
      • @inproceedings{Jin2022mar,
      • author = {Jin, Sian and Pu, Wang and Boufounos, Petros T. and Orlik, Philip V. and Roy, Sumit},
      • title = {Automotive Radar Interference Mitigation with Fast-Time-Frequency Mode Retrieval},
      • booktitle = {IEEE Radar Conference (RadarCon)},
      • year = 2022,
      • month = mar,
      • url = {https://www.merl.com/publications/TR2022-029}
      • }
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