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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  • Awards

    •  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 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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    •  AWARD   MERL Researchers Won IEEE ICC Best Paper Award
      Date: May 22, 2019
      Awarded to: Siriramya Bhamidipati, Kyeong Jin Kim, Hongbo Sun, Philip Orlik
      MERL Contacts: Kyeong Jin (K.J.) Kim; Hongbo Sun
      Research Areas: Artificial Intelligence, Communications, Machine Learning, Signal Processing, Information Security
      Brief
      • MERL researchers, Kyeong Jin Kim, Hongbo Sun, Philip Orlik, along with lead author and former MERL intern Siriramya Bhamidipati were awarded the Smart Grid Symposium Best Paper Award at this year's International Conference on Communications (ICC) held in Shanghai, China. There paper titled "GPS Spoofing Detection and Mitigation in PMUs Using Distributed Multiple Directional Antennas," described a technique to rapidly detect and mitigate GPS timing attacks/errors via hardware (antennas) and signal processing (Kalman Filtering).
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  • News & Events


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  • Research Highlights

  • Internships

    • SP1522: AI Security for Cyber Physical Systems

      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 AI security for various cyber physical systems. The candidate is expected to develop innovative AI technologies to increase cyber security. Candidates should have strong knowledge about neural network and learning techniques, such as feature extraction, machine learning, explainable learning, and distributed learning. Proficient programming skills with Pytorch, 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.

    • SP1506: Learning-based Wireless Sensing

      The Signal Processing (SP) group at MERL is seeking a highly motivated intern to conduct fundamental research in learning-based wireless sensing using communication signals (such as WiFi, Bluetooth, 5G) and other RF signals (such as FMCW). Previous experience in occupancy sensing, people counting, localization, device-free pose/gesture recognition, and skeleton tracking with deep learning is highly preferred. Familiarity with IEEE 802.11 (g/n/ac/ad/ay)standards is a plus. The intern will collaborate with a small group of MERL researchers to develop novel algorithms, design experiments using MERL in-house testbed, and prepare results for publication. Senior Ph.D. students with research focuses on wireless communications, machine learning, signal processing, optimization, applied mathematics, or related areas are encouraged to apply. The expected duration of the internship is 3 months with a flexible start date. 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

    •  Wang, P., Koike-Akino, T., Orlik, P.V., Sertel, K., Yamashita, G., Tsujita, W., Tsutada, H., "Terahertz QR Positioning: Experimental Results", International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), November 2020.
      BibTeX TR2020-146 PDF
      • @inproceedings{Wang2020nov,
      • author = {Wang, Pu and Koike-Akino, Toshiaki and Orlik, Philip V. and Sertel, Kubilay and Yamashita, Genki and Tsujita, Wataru and Tsutada, Hiroyuki},
      • title = {Terahertz QR Positioning: Experimental Results},
      • booktitle = {International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)},
      • year = 2020,
      • month = nov,
      • url = {https://www.merl.com/publications/TR2020-146}
      • }
    •  Tang, Y., Kojima, K., Koike-Akino, T., Wang, Y., Wu, P., TaherSima, M., Jha, D., Parsons, K., Qi, M., "Generative Deep Learning Model for Inverse Design of Integrated Nanophotonic Devices", Lasers and Photonics Reviews, DOI: 10.1002/lpor.202000287, Vol. 2020, pp. 2000287, October 2020.
      BibTeX TR2020-135 PDF
      • @article{Tang2020oct,
      • author = {Tang, Yingheng and Kojima, Keisuke and Koike-Akino, Toshiaki and Wang, Ye and Wu, Pengxiang and TaherSima, Mohammad and Jha, Devesh and Parsons, Kieran and Qi, Minghao},
      • title = {Generative Deep Learning Model for Inverse Design of Integrated Nanophotonic Devices},
      • journal = {Lasers and Photonics Reviews},
      • year = 2020,
      • volume = 2020,
      • pages = 2000287,
      • month = oct,
      • doi = {10.1002/lpor.202000287},
      • url = {https://www.merl.com/publications/TR2020-135}
      • }
    •  Nagai, Y., Sumi, T., Guo, J., Orlik, P.V., Mineno, H., "Hybrid CSMA/CA for Sub-1 GHz Frequency Band Coexistence of IEEE 802.11ah and IEEE 802.15.4g", Consumer Device System 28th Research Presentation, September 2020.
      BibTeX TR2020-133 PDF
      • @inproceedings{Nagai2020sep,
      • author = {Nagai, Yukimasa and Sumi, Takenori and Guo, Jianlin and Orlik, Philip V. and Mineno, Hiroshi},
      • title = {Hybrid CSMA/CA for Sub-1 GHz Frequency Band Coexistence of IEEE 802.11ah and IEEE 802.15.4g},
      • booktitle = {Consumer Device System 28th Research Presentation},
      • year = 2020,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2020-133}
      • }
    •  Guo, J., Nagai, Y., Sumi, T., Orlik, P.V., Yamauchi, T., "Hybrid CSMA/CA for Sub-1 GHz Frequency Band Coexistence of IEEE 802.11ah and IEEE 802.15.4g", International Workshop on Informatics (IWIN), September 2020.
      BibTeX TR2020-127 PDF
      • @inproceedings{Guo2020sep,
      • author = {Guo, Jianlin and Nagai, Yukimasa and Sumi, Takenori and Orlik, Philip V. and Yamauchi, Takahisa},
      • title = {Hybrid CSMA/CA for Sub-1 GHz Frequency Band Coexistence of IEEE 802.11ah and IEEE 802.15.4g},
      • booktitle = {International Workshop on Informatics (IWIN)},
      • year = 2020,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2020-127}
      • }
    •  Skvortcov, P., Phillips, I., Forysiak, W., Koike-Akino, T., Kojima, K., Parsons, K., Millar, D.S., "Nonlinearity Tolerant LUT-based Probabilistic Shaping for Extended-Reach Single-Span Links", IEEE Photonics Technology Letters, DOI: 10.1109/LPT.2020.3006737, Vol. 32, No. 16, pp. 967-970, July 2020.
      BibTeX TR2020-107 PDF
      • @article{Skvortcov2020jul,
      • author = {Skvortcov, Pavel and Phillips, Ian and Forysiak, Wladek and Koike-Akino, Toshiaki and Kojima, Keisuke and Parsons, Kieran and Millar, David S.},
      • title = {Nonlinearity Tolerant LUT-based Probabilistic Shaping for Extended-Reach Single-Span Links},
      • journal = {IEEE Photonics Technology Letters},
      • year = 2020,
      • volume = 32,
      • number = 16,
      • pages = {967--970},
      • month = jul,
      • doi = {10.1109/LPT.2020.3006737},
      • issn = {1941-0174},
      • url = {https://www.merl.com/publications/TR2020-107}
      • }
    •  Kim, K.J., Liu, H., Wen, M., Orlik, P.V., Poor, H.V., "Secrecy Performance Analysis of Distributed Asynchronous Cyclic Delay Diversity-Based Cooperative Single Carrier Systems", IEEE Transactions on Communications, DOI: 10.1109/TCOMM.2020.2971680, Vol. 68, No. 5, pp. 2680-2694, June 2020.
      BibTeX TR2020-084 PDF
      • @article{Kim2020jun2,
      • author = {Kim, Kyeong Jin and Liu, Hongwu and Wen, Maiwen and Orlik, Philip V. and Poor, H. Vincent},
      • title = {Secrecy Performance Analysis of Distributed Asynchronous Cyclic Delay Diversity-Based Cooperative Single Carrier Systems},
      • journal = {IEEE Transactions on Communications},
      • year = 2020,
      • volume = 68,
      • number = 5,
      • pages = {2680--2694},
      • month = jun,
      • doi = {10.1109/TCOMM.2020.2971680},
      • url = {https://www.merl.com/publications/TR2020-084}
      • }
    •  Lee, G., Guo, J., Kim, K.J., Orlik, P.V., Ahn, H., Di Cairano, S., Saad, W., "Edge Computing for Interconnected Intersections in Internet of Vehicles", IEEE Intelligent Vehicles Symposium, June 2020, pp. 209-215.
      BibTeX TR2020-081 PDF
      • @inproceedings{Lee2020jun,
      • author = {Lee, Gilsoo and Guo, Jianlin and Kim, Kyeong Jin and Orlik, Philip V. and Ahn, Heejin and Di Cairano, Stefano and Saad, Walid},
      • title = {Edge Computing for Interconnected Intersections in Internet of Vehicles},
      • booktitle = {IEEE Intelligent Vehicles Symposium},
      • year = 2020,
      • pages = {209--215},
      • month = jun,
      • isbn = {978-1-7281-6672-8},
      • url = {https://www.merl.com/publications/TR2020-081}
      • }
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