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   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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    •  AWARD   Former Intern Receives IBM Scientific Award Honorable Mention
      Date: January 16, 2019
      Awarded to: Daniel Dinis
      MERL Contact: Rui Ma
      Research Areas: Communications, Signal Processing
      Brief
      • Former MERL intern Daniel Dinis from University of Aveiro (UA), Portugal has received the 2018 IBM Scientific Award with Honorable Mention referring to the contributions on "Real-time Tunable Delta-sigma modulators for All-Digital RF Transmitters" in his Ph.D. study.

        The award-winning work includes research conducted under the supervision of Arnaldo Oliveira and José Neto Vieira, professors from the Department of Electronics and Information Technology (DETI) of the UA, as well as contributions made during Daniel's 7 month internship in 2017 at MERL.

        The ceremony for the presentation of the 28th IBM Scientific Prize took on January 16th, at the Noble Hall of the Superior Technical Institute. It was chaired by Marcelo Rebelo de Sousa, President of the Portuguese Republic.
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    •  AWARD   MERL researchers presented 5 papers at the 2016 Optical Fiber Communication Conference (OFC), including one "Top Scored" paper.
      Date: March 24, 2016
      Awarded to: Toshiaki Koike-Akino, Keisuke Kojima, David S. Millar, Kieran Parsons, Tsuyoshi Yoshida, Takashi Sugihara
      MERL Contacts: Toshiaki Koike-Akino; Keisuke Kojima; David Millar; Kieran Parsons
      Research Areas: Communications, Electronic and Photonic Devices, Signal Processing
      Brief
      • Five papers from the Optical Comms team were presented at the 2016 Optical Fiber Conference (OFC) held in Anaheim, USA in March 2016. The papers relate to enhanced modulation formats, constellation shaping, chromatic dispersion estimation, low complexity adaptive equalization and coding for coherent optical links. The top-scored paper studied optimal selection of coding and modulation sets to jointly maximize nonlinear tolerance and spectral efficiency.
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  • News & Events

    •  TALK   A Prospect in Wireless Connectivity Beyond 5G: Heterogeneity, Learning, Caution, and New Opportunities
      Date & Time: Thursday, May 7, 2020; 11:00 AM
      Speaker: Prof. Petar Popovski, Aalborg University, Denmark
      MERL Host: Toshiaki Koike-Akino
      Research Areas: Artificial Intelligence, Communications, Machine Learning, Signal Processing, Information Security
      Brief
      • The wireless landscape evolves towards supporting a large population of connections for humans and machines with very diverse features and requirements. Perhaps the main motivation of 5G wireless systems is its flexibility to support heterogeneous connectivity requirements: enhanced mobile broadband (eMBB), massive machine-type communications (mMTC), and ultra-reliable low-latency communications (URLLC). However, this classification is rather limited and is currently undergoing a revision within the research community. The first part of this talk will discuss how this heterogeneity can be revised and which opportunities it opens with respect to spectrum usage. The second part of the talk will deal with performance guarantees of wireless services and, specifically, ultra-reliable communication and outline the importance of machine learning in that context. The final part of the talk will provide a broader view on the evolution of wireless connectivity, including aspects that are implied by the resistance to the deployment of 5G, but also the new opportunities that can transform the way we build and utilize connected systems.
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    •  NEWS   MERL Researcher Kyeong Jin Kim serves as a lead guest editor of IEEE Journal on Selected Topics in Signal Processing
      Date: April 29, 2020
      Where: N/A
      MERL Contact: Kyeong Jin (K.J.) Kim
      Research Areas: Communications, Optimization, Signal Processing, Information Security
      Brief
      • Kyeong Jin Kim, a Senior Principal Research Scientist in the Signal Processing Group, will serve as lead guest editor for the upcoming JSTSP issue on, "Advanced Signal Processing for Local and Private 5G Networks." The issue is also being organized with the help of other researchers and investigators from leading organizations such as Memorial University, Nokia Bell Laboratories, Princeton University, Aalborg University, Jinan University, and South China University of Technology. This special issue aims to capture the latest research activities in local and private 5G networks from the signal processing perspective and is targeted for publication January 2022.
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  • Research Highlights

  • Internships

    • SP1155: Coexistence of the Heterogeneous Wireless Technologies

      MERL is seeking a highly motivated, qualified intern to join the Electronics and Communications group for a three month internship program. The ideal candidate will be expected to carry out research on coexistence of the heterogeneous wireless technologies in the Sub-1 GHz (S1G) band. The candidate is expected to develop innovative coexistence technology for IEEE 802.15.4g to mitigate interference caused by other S1G technologies such as IEEE 802.11ah, LoRa and SigFox. The candidates should have knowledge of 802.15.4g and 802.11ah protocols. Additionally, the candidate should also be familiar with NS3 simulators. Candidates in their junior or senior years of a Ph.D. program are encouraged to apply.

    • MD1441: Advanced Phased Array Transceiver

      MERL is looking for a highly motivated, and qualified individual to join our internship program of advanced phased array research. The ideal candidate should be a senior Ph.D. student with rich experience in beam forming technologies. Knowledge of wireless communication, transceiver architecture, and digital signal processing, FPGA and/or Matlab programming skills are required. RF circuits knowledge will be a plus. Duration is 3-6 months with a flexible start date.

    • SP1448: Intelligent Coding

      The Signal Processing group at MERL is seeking a highly motivated, qualified individual to join our 3-month internship program of research on applied coding for data science. The ideal candidate is expected to possess an excellent background in channel coding, source coding, information theory, coded modulation design, signal processing, deep learning, quantum computing, and molecular computing.


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  • Recent Publications

    •  Fujihashi, T., Koike-Akino, T., Watanabe, T., Orlik, P.V., "Overhead Reduction in Graph-Based Point Cloud Delivery", IEEE International Conference on Communications (ICC), May 2020.
      BibTeX TR2020-061 PDF Video
      • @inproceedings{Fujihashi2020may2,
      • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi and Orlik, Philip V.},
      • title = {Overhead Reduction in Graph-Based Point Cloud Delivery},
      • booktitle = {IEEE International Conference on Communications (ICC)},
      • year = 2020,
      • month = may,
      • url = {https://www.merl.com/publications/TR2020-061}
      • }
    •  Sun, H., Wang, P., Pajovic, M., Koike-Akino, T., Orlik, P.V., Taira, A., Nakagawa, K., "Fingerprinting-Based Outdoor Localization with 28-GHz Channel Measurement: A Field Study", IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), May 2020.
      BibTeX TR2020-056 PDF
      • @inproceedings{Sun2020may,
      • author = {Sun, Haijian and Wang, Pu and Pajovic, Milutin and Koike-Akino, Toshiaki and Orlik, Philip V. and Taira, Akinori and Nakagawa, Kenji},
      • title = {Fingerprinting-Based Outdoor Localization with 28-GHz Channel Measurement: A Field Study},
      • booktitle = {IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)},
      • year = 2020,
      • month = may,
      • url = {https://www.merl.com/publications/TR2020-056}
      • }
    •  Fujihashi, T., Koike-Akino, T., Watanabe, T., Orlik, P.V., "High-Quality Soft Image Delivery with Deep Image Denoising", IEEE International Conference on Communications (ICC), May 2020.
      BibTeX TR2020-060 PDF Video
      • @inproceedings{Fujihashi2020may,
      • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi and Orlik, Philip V.},
      • title = {High-Quality Soft Image Delivery with Deep Image Denoising},
      • booktitle = {IEEE International Conference on Communications (ICC)},
      • year = 2020,
      • month = may,
      • url = {https://www.merl.com/publications/TR2020-060}
      • }
    •  Bhamidipati, S., Kim, K.J., Sun, H., Orlik, P.V., "Artificial Intelligence-Based Distributed Belief Propagation and Recurrent Neural Network Algorithm for Wide-Area Monitoring Systems", IEEE Network, May 2020.
      BibTeX TR2020-058 PDF
      • @article{Bhamidipati2020may,
      • author = {Bhamidipati, Sriramya and Kim, Kyeong Jin and Sun, Hongbo and Orlik, Philip V.},
      • title = {Artificial Intelligence-Based Distributed Belief Propagation and Recurrent Neural Network Algorithm for Wide-Area Monitoring Systems},
      • journal = {IEEE Network},
      • year = 2020,
      • month = may,
      • url = {https://www.merl.com/publications/TR2020-058}
      • }
    •  Fehenberger, T., Millar, D.S., Koike-Akino, T., Kojima, K., Parsons, K., Griesser, H., "Huffman-coded Sphere Shaping and Distribution Matching Algorithms via Lookup Tables", IEEE Journal of Lightwave Technology, DOI: 10.1109/JLT.2020.2987210, Vol. 38, No. 10, pp. 2825 - 2833, April 2020.
      BibTeX TR2020-051 PDF
      • @article{Fehenberger2020apr2,
      • author = {Fehenberger, Tobias and Millar, David S. and Koike-Akino, Toshiaki and Kojima, Keisuke and Parsons, Kieran and Griesser, Helmut},
      • title = {Huffman-coded Sphere Shaping and Distribution Matching Algorithms via Lookup Tables},
      • journal = {IEEE Journal of Lightwave Technology},
      • year = 2020,
      • volume = 38,
      • number = 10,
      • pages = {2825 -- 2833},
      • month = apr,
      • doi = {10.1109/JLT.2020.2987210},
      • issn = {1558-2213},
      • url = {https://www.merl.com/publications/TR2020-051}
      • }
    •  Koike-Akino, T., Wang, P., Pajovic, M., Sun, H., Orlik, P.V., "Fingerprinting-Based Indoor Localization with Commercial MMWave WiFi: A Deep Learning Approach", IEEE Access, DOI: 10.1109/ACCESS.2020.2991129, April 2020.
      BibTeX TR2020-054 PDF Data
      • @article{Koike-Akino2020apr,
      • author = {Koike-Akino, Toshiaki and Wang, Pu and Pajovic, Milutin and Sun, Haijian and Orlik, Philip V.},
      • title = {Fingerprinting-Based Indoor Localization with Commercial MMWave WiFi: A Deep Learning Approach},
      • journal = {IEEE Access},
      • year = 2020,
      • month = apr,
      • doi = {10.1109/ACCESS.2020.2991129},
      • issn = {2169-3536},
      • url = {https://www.merl.com/publications/TR2020-054}
      • }
    •  Fehenberger, T., Millar, D.S., Koike-Akino, T., Kojima, K., Parsons, K., "Parallel-Amplitude Architecture and Subset Ranking for Fast Distribution Matching", IEEE Transactions on Communications, DOI: 10.1109/TCOMM.2020.2966693, Vol. 68, No. 4, pp. 1981-1990, April 2020.
      BibTeX TR2020-050 PDF
      • @article{Fehenberger2020apr,
      • author = {Fehenberger, Tobias and Millar, David S. and Koike-Akino, Toshiaki and Kojima, Keisuke and Parsons, Kieran},
      • title = {Parallel-Amplitude Architecture and Subset Ranking for Fast Distribution Matching},
      • journal = {IEEE Transactions on Communications},
      • year = 2020,
      • volume = 68,
      • number = 4,
      • pages = {1981--1990},
      • month = apr,
      • doi = {10.1109/TCOMM.2020.2966693},
      • issn = {1558-0857},
      • url = {https://www.merl.com/publications/TR2020-050}
      • }
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