MERL - Mitsubishi Electric Research Laboratories

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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.

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  • Researchers

  • Awards

    •  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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    •  AWARD   Outstanding Presentation Award at the 28th Conference of Information Processing Society of Japan/Consumer Device & Systems
      Date: October 20, 2020
      Awarded to: Yukimasa Nagai, Takenori Sumi, Jianlin Guo, Philip Orlik, Hiroshi Mineno
      MERL Contacts: Jianlin Guo; Philip V. Orlik
      Research Areas: Communications, Optimization, Signal Processing
      Brief
      • MELCO and MERL researchers have won "Outstanding Presentation Award" at 28th Conference of Information Processing Society of Japan (IPSJ)/Consumer Device & Systems held on September 29-30, 2020. The paper titled "IEEE 802.19.3 Standardization for Coexistence of IEEE 802.11ah and IEEE 802.15.4g Systems in Sub-1 GHz Frequency Bands" reports IEEE 802.19.3 standard development on coexistence between IEEE 802.11ah and IEEE 802.15.4g systems in the Sub-1 GHz frequency bands. MERL and MELCO have been leading this standard development and made major technical contributions, which propose methods to mitigate interference in smart meter systems. The authors are Yukimasa Nagai, Takenori Sumi, Jianlin Guo, Philip Orlik and Hiroshi Mineno.
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    •  AWARD   Best Paper AWARD at International Workshop on Informatics (IWIN) 2020
      Date: September 11, 2020
      Awarded to: Yukimasa Nagai, Jianlin Guo, Takenori Sumi, Philip Orlik, Hiroshi Mineno
      MERL Contact: Jianlin Guo
      Research Areas: Communications, Signal Processing
      Brief
      • MELCO and MERL researchers have won one of two Best Paper Awards at International Workshop on Informatics (IWIN) 2020. The paper titled 'Hybrid CSMA/CA for Sub-1 GHz Frequency Band Coexistence of IEEE 802.11ah and IEEE 802.15.4g', reports research on the severity of interference between IEEE 802.11ah and IEEE 802.15.4g based networks and also proposes methods to mitigate this interference in smart meter systems. This research reported in this paper has also informed several of MELCO/MERL's contributions to the IEEE P802.19.3 task group which is developing standards to allow for improved coexistence in outdoor metering systems. Authors are Yukimasa Nagai, Jianlin Guo, Takenori Sumi, Philip Orlik and Hiroshi Mineno.
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  • News & Events

    •  NEWS   MERL Researcher Kyeong Jin Kim organizes a workshop in 2022 IEEE International Conference on Communications (ICC).
      Date: May 16, 2022 - May 20, 2022
      Where: 2022 IEEE ICC
      MERL Contact: Kyeong Jin (K.J.) Kim
      Research Areas: Communications, Signal Processing
      Brief
      • Kyeong Jin Kim, a Senior Principal Research Scientist in the Signal Processing Group, organizes a workshop in 2022 IEEE International Conference on Communications (ICC). The workshop is titled, "Industrial Private 5G-and-beyond Wireless Networks," and aims to bring researchers for technical discussion on fundamental and practically relevant questions to many emerging challenges in industrial private wireless networks. This workshop is also being organized with the help of other researchers from Huawei Technology, Princeton University, Aalborg University, Jinan University, and South China University of Technology. IEEE ICC is one of two IEEE Communications Society's flagship conferences.
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    •  NEWS   Mitsubishi Electric and MERL Help Develop IEEE Smart Meter Coexistence Standards
      Date: April 23, 2021
      MERL Contacts: Jianlin Guo; Philip V. Orlik
      Research Areas: Communications, Electric Systems
      Brief
      • IoT applications such as smart metering system are rapidly increasing. A broad range of low power wide area communication technologies have been developed. These systems all operate in frequencies below 1 GHz, commonly called Sub-1 GHz frequency bands, to meet various application requirements. Several communication standards and proprietary technologies already use the Sub-1 GHz bands: IEEE 802.15.4g (Wi-SUN), IEEE 802.11ah (Wi-Fi HaLow), LoRa, SigFox and RFID. Due to limited spectrum in the Sub-1 GHz frequency bands, it is likely that applications will compete for the same resources and interfere with one another. This is a particular issue in Japan where the amount of license-exempt Sub-1 GHz frequencies is more limited than in other regulatory regions. Therefore, the coexistence becomes an issue to be addressed. Accordingly, IEEE New Standards Committee and Standard Board formed IEEE 802.19.3 Task Group in 2018 to develop guidelines and best practices for the coexistence of IEEE 802.11 and IEEE 802.15.4 based systems and to guide product deployment. MERL member Jianlin Guo took a lead role as Task Group Technical Editor, and was supported by Mitsubishi Electric Corporation researchers Yukimasa Nagai, Takenori Sumi and consultant Benjamin A. Rolfe (Task Group Chair) in the development of this standard. As of April 2021 a new standard recommended practice document, IEEE Recommended Practice for Local and Metropolitan Area Networks—Part 19: Coexistence Methods for IEEE 802.11 and IEEE 802.15.4 Based Systems Operating in the Sub‐1 GHz Frequency Bands, was published. This will help guide future IoT/smart metering system deployment. The standard is widely available for download from the IEEE Standards Association at https://standards.ieee.org/standard/802_19_3-2021.html.
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  • Research Highlights

  • Internships

    • SP1517: AI-based spectrum management for 5G wireless networks and beyond

      MERL is seeking a highly motivated, qualified intern to join a thirteen weeks internship program. The ideal candidate will be expected to carry out research on emerging 5G wireless networks and beyond for industrial applications. The candidate is expected to develop innovative spectrum-based traffic recognition and optimal scheduling for local spectrum access. Candidates should have strong knowledge about 5G networks, spectrum management, cognitive radio, and neural network. Proficient programming skills with MATLAB, C++, Python (Pytorch), experience with ns-3 simulator, 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. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

    • 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. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

    • SP1537: Machine Learning for Wireless Communications

      MERL is seeking an intern to work on machine learning for wireless communication systems. The ideal candidate would be an experienced PhD student or post-graduate researcher working in wireless communications with a focus on machine learning methods. The candidate should have a detailed knowledge of wireless communications, with some experience in machine learning, MIMO, and/or channel equalization preferred. Strong programming skills in Python and machine learning frameworks are essential. The expected duration of the internship is 3-6 months with flexible start date and length. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.


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  • Recent Publications

    •  Koike-Akino, T., Wang, Y., Kojima, K., Parsons, K., Yoshida, T., "Zero-Multiplier Sparse DNN Equalization for Fiber-Optic QAM Systems with Probabilistic Amplitude Shaping", European Conference on Optical Communication (ECOC), September 2021.
      BibTeX TR2021-110 PDF
      • @inproceedings{Koike-Akino2021sep,
      • author = {Koike-Akino, Toshiaki and Wang, Ye and Kojima, Keisuke and Parsons, Kieran and Yoshida, Tsuyoshi},
      • title = {Zero-Multiplier Sparse DNN Equalization for Fiber-Optic QAM Systems with Probabilistic Amplitude Shaping},
      • booktitle = {European Conference on Optical Communication (ECOC)},
      • year = 2021,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2021-110}
      • }
    •  Skvortcov, P., Koike-Akino, T., Millar, D.S., Kojima, K., Parsons, K., "Dual Coding Concatenation for Burst-Error Correction in Probabilistic Amplitude Shapin", European Conference on Optical Communication (ECOC), September 2021.
      BibTeX TR2021-111 PDF
      • @inproceedings{Skvortcov2021sep2,
      • author = {Skvortcov, Pavel and Koike-Akino, Toshiaki and Millar, David S. and Kojima, Keisuke and Parsons, Kieran},
      • title = {Dual Coding Concatenation for Burst-Error Correction in Probabilistic Amplitude Shapin},
      • booktitle = {European Conference on Optical Communication (ECOC)},
      • year = 2021,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2021-111}
      • }
    •  Skvortcov, P., Millar, D.S., Phillips, I., Forysiak, W., Koike-Akino, T., Kojima, K., Parsons, K., "Experimental Analysis of Mismatched Soft-Demapping for Probabilistic Shaping in Short-Reach Nonlinear Transmission", European Conference on Optical Communication (ECOC), September 2021.
      BibTeX TR2021-109 PDF
      • @inproceedings{Skvortcov2021sep,
      • author = {Skvortcov, Pavel and Millar, David S. and Phillips, Ian and Forysiak, Wladek and Koike-Akino, Toshiaki and Kojima, Keisuke and Parsons, Kieran},
      • title = {Experimental Analysis of Mismatched Soft-Demapping for Probabilistic Shaping in Short-Reach Nonlinear Transmission},
      • booktitle = {European Conference on Optical Communication (ECOC)},
      • year = 2021,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2021-109}
      • }
    •  Liu, B., Guo, J., Koike-Akino, T., Wang, Y., Kim, K.J., Parsons, K., Orlik, P.V., Hashimoto, S., Yuan, J., "Anomaly Detection and Diagnosis Using Pre-Processing and Time-Delay Autoencoder", IEEE International conference on emerging technologies and factory automation, September 2021.
      BibTeX TR2021-107 PDF
      • @inproceedings{Liu2021sep,
      • author = {Liu, Bryan and Guo, Jianlin and Koike-Akino, Toshiaki and Wang, Ye and Kim, Kyeong Jin and Parsons, Kieran and Orlik, Philip V. and Hashimoto, Shigeru and Yuan, Jinhong},
      • title = {Anomaly Detection and Diagnosis Using Pre-Processing and Time-Delay Autoencoder},
      • booktitle = {IEEE International conference on emerging technologies and factory automation},
      • year = 2021,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2021-107}
      • }
    •  Koike-Akino, T., Wang, Y., "Evolution of Polar Coding", IEEE International Symposium on Topics in Coding (ISTC), August 2021.
      BibTeX TR2021-104 PDF
      • @inproceedings{Koike-Akino2021aug,
      • author = {Koike-Akino, Toshiaki and Wang, Ye},
      • title = {Evolution of Polar Coding},
      • booktitle = {IEEE International Symposium on Topics in Coding (ISTC)},
      • year = 2021,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2021-104}
      • }
    •  Zeng, T., Guo, J., Kim, K.J., Parsons, K., Orlik, P.V., Di Cairano, S., Saad, W., "Multi-Task Federated Learning for Traffic Prediction and Its Application to Route Planning", IEEE Intelligent Vehicles Symposium, July 2021.
      BibTeX TR2021-083 PDF
      • @inproceedings{Zeng2021jul,
      • author = {Zeng, Tengchan and Guo, Jianlin and Kim, Kyeong Jin and Parsons, Kieran and Orlik, Philip V. and Di Cairano, Stefano and Saad, Walid},
      • title = {Multi-Task Federated Learning for Traffic Prediction and Its Application to Route Planning},
      • booktitle = {IEEE Intelligent Vehicles Symposium},
      • year = 2021,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2021-083}
      • }
    •  Koike-Akino, T., Wang, Y., "Protograph-Based Design for QC Polar Codes", IEEE International Symposium on Information Theory (ISIT), July 2021.
      BibTeX TR2021-080 PDF Video Presentation
      • @inproceedings{Koike-Akino2021jul,
      • author = {Koike-Akino, Toshiaki and Wang, Ye},
      • title = {Protograph-Based Design for QC Polar Codes},
      • booktitle = {IEEE International Symposium on Information Theory (ISIT)},
      • year = 2021,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2021-080}
      • }
    •  Fujihashi, T., Koike-Akino, T., Chen, S., Watanabe, T., "Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks", IEEE International Conference on Communications (ICC), June 2021.
      BibTeX TR2021-066 PDF
      • @inproceedings{Fujihashi2021jun,
      • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Chen, Siheng and Watanabe, Takashi},
      • title = {Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks},
      • booktitle = {IEEE International Conference on Communications (ICC)},
      • year = 2021,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2021-066}
      • }
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