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.
Quick Links
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Researchers
Toshiaki
Koike-Akino
Jinyun
Zhang
Philip
Orlik
Kieran
Parsons
Keisuke
Kojima
David
Millar
Kyeong Jin
(K.J.)
Kim
Jianlin
Guo
Pu
(Perry)
Wang
Ye
Wang
Koon Hoo
Teo
Rui
Ma
Bingnan
Wang
Devesh
Jha
Hongbo
Sun
Chungwei
Lin
Yebin
Wang
Mouhacine
Benosman
Matthew
Brand
Stefano
Di Cairano
William
Yerazunis
Petros
Boufounos
Ankush
Chakrabarty
Takaaki
Hori
Dehong
Liu
Avishai
Weiss
Frederick
Igo Jr.
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Awards
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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 Orlik
Research Areas: Communications, Optimization, Signal ProcessingBrief- 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 ProcessingBrief- 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 SecurityBrief- 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).
See All Awards for Communications -
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News & Events
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NEWS MERL published four papers in 2020 IEEE Global Communications Conference Date: December 7, 2020 - December 11, 2020
Where: Taipei, Taiwan
MERL Contacts: Kyeong Jin (K.J.) Kim; Toshiaki Koike-Akino; Philip Orlik; Pu (Perry) Wang; Ye Wang
Research Areas: Communications, Computational Sensing, Machine Learning, Signal ProcessingBrief- MERL researchers have published four papers in 2020 IEEE Global Communications Conference (GlobeComm). This conference is one of the two IEEE Communications Societies flagship conferences dedicated to Communications for Human and Machine Intelligence. Topics of the published papers include, transmit diversity schemes, coding for molecular networks, and location and human activity sensing via WiFi signals.
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EVENT MERL Virtual Open House 2020 Date & Time: Wednesday, December 9, 2020; 1:00-5:00PM EST
MERL Contacts: Elizabeth Phillips; Jeroen van Baar; Anthony Vetro
Location: Virtual
Research Areas: Applied Physics, Artificial Intelligence, Communications, Computational Sensing, Computer Vision, Control, Data Analytics, Dynamical Systems, Electric Systems, Electronic and Photonic Devices, Machine Learning, Multi-Physical Modeling, Optimization, Robotics, Signal Processing, Speech & AudioBrief- MERL will host a virtual open house on December 9, 2020. Live sessions will be held from 1-5pm EST, including an overview of recent activities by our research groups and a talk by Prof. Pierre Moulin of University of Illinois at Urbana-Champaign on adversarial machine learning. Registered attendees will also be able to browse our virtual booths at their convenience and connect with our research staff on engagement opportunities including internship, post-doc and research scientist openings, as well as visiting faculty positions.
Registration: https://mailchi.mp/merl/merl-virtual-open-house-2020
Schedule: https://www.merl.com/events/voh20
Current internship and employment openings:
https://www.merl.com/internship/openings
https://www.merl.com/employment/employment
Information about working at MERL:
https://www.merl.com/employment
- MERL will host a virtual open house on December 9, 2020. Live sessions will be held from 1-5pm EST, including an overview of recent activities by our research groups and a talk by Prof. Pierre Moulin of University of Illinois at Urbana-Champaign on adversarial machine learning. Registered attendees will also be able to browse our virtual booths at their convenience and connect with our research staff on engagement opportunities including internship, post-doc and research scientist openings, as well as visiting faculty positions.
See All News & Events for Communications -
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Research Highlights
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Internships
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SP1516: Machine Learning for Optical Communications
MERL is seeking an intern to work on machine learning for coherent optical transmission systems. The ideal candidate would be an experienced PhD student or post-graduate researcher working in coherent optical communications. The candidate should have a detailed knowledge of optical communications, with some experience in machine learning, probabilistic shaping, coded modulation or ultra-wideband optical transmission systems preferred. Strong programming skills in MATLAB or Python are essential. Experience of working in an optical lab environment is a required. Duration is 3 to 6 months. 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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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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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.
See All Internships for Communications -
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Recent Publications
- , "Polar Coding with Chemical Reaction Networks for Molecular Communications", IEEE Global Communications Conference (GLOBECOM), December 2020.BibTeX TR2020-160 PDF Video
- @inproceedings{Matsumine2020dec,
- author = {Matsumine, Toshiki and Koike-Akino, Toshiaki and Wang, Ye},
- title = {Polar Coding with Chemical Reaction Networks for Molecular Communications},
- booktitle = {IEEE Global Communications Conference (GLOBECOM)},
- year = 2020,
- month = dec,
- url = {https://www.merl.com/publications/TR2020-160}
- }
- , "Backhaul Reliability Analysis on Cluster-Based Transmit Diversity Schemes in Private Networks", IEEE Global Communications Conference (GLOBECOM), December 2020.BibTeX TR2020-170 PDF
- @inproceedings{Kim2020dec,
- author = {Kim, Kyeong Jin and Liu, Hongwu and Yeoh, Phee Lep and Orlik, Philip V. and Poor, H. Vincent},
- title = {Backhaul Reliability Analysis on Cluster-Based Transmit Diversity Schemes in Private Networks},
- booktitle = {IEEE Global Communications Conference (GLOBECOM)},
- year = 2020,
- month = dec,
- url = {https://www.merl.com/publications/TR2020-170}
- }
- , "Fingerprinting-Based Indoor Localization with Commercial MMWave WiFi: NLOS Propagation", IEEE Global Communications Conference (GLOBECOM), December 2020.BibTeX TR2020-159 PDF
- @inproceedings{Wang2020dec,
- author = {Wang, Pu and Koike-Akino, Toshiaki and Orlik, Philip V.},
- title = {Fingerprinting-Based Indoor Localization with Commercial MMWave WiFi: NLOS Propagation},
- booktitle = {IEEE Global Communications Conference (GLOBECOM)},
- year = 2020,
- month = dec,
- url = {https://www.merl.com/publications/TR2020-159}
- }
- , "Human Pose and Seat Occupancy Classification with Commercial MMWave WiFi", IEEE Global Communications Conference (GLOBECOM), December 2020.BibTeX TR2020-158 PDF
- @inproceedings{Yu2020dec,
- author = {Yu, Jianyuan and Wang, Pu and Koike-Akino, Toshiaki and Wang, Ye and Orlik, Philip V.},
- title = {Human Pose and Seat Occupancy Classification with Commercial MMWave WiFi},
- booktitle = {IEEE Global Communications Conference (GLOBECOM)},
- year = 2020,
- month = dec,
- url = {https://www.merl.com/publications/TR2020-158}
- }
- , "Recent Development in 2D and 3D GaN devices for RF and Power Electronics Applications", IEEE International Symposium on Radio-Frequency Integration Technology (RFIT), November 2020.BibTeX TR2020-162 PDF
- @inproceedings{Teo2020nov,
- author = {Teo, Koon Hoo and Chowdhury, Nadim and Zhang, Yuhao and Palacios, Tomas and Yamanaka, Koji and Yamaguchi, Yutaro},
- title = {Recent Development in 2D and 3D GaN devices for RF and Power Electronics Applications},
- booktitle = {IEEE International Symposium on Radio-Frequency Integration Technology (RFIT)},
- year = 2020,
- month = nov,
- url = {https://www.merl.com/publications/TR2020-162}
- }
- , "End-to-End Deep Learning for Phase Noise-Robust Multi-Dimensional Geometric Shaping", European Conference on Optical Communication (ECOC), November 2020.BibTeX TR2020-155 PDF Video
- @inproceedings{Talreja2020nov,
- author = {Talreja, Veeru and Koike-Akino, Toshiaki and Wang, Ye and Millar, David S. and Kojima, Keisuke and Parsons, Kieran},
- title = {End-to-End Deep Learning for Phase Noise-Robust Multi-Dimensional Geometric Shaping},
- booktitle = {European Conference on Optical Communication (ECOC)},
- year = 2020,
- month = nov,
- url = {https://www.merl.com/publications/TR2020-155}
- }
- , "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}
- }
- , "Polar Coding with Chemical Reaction Networks for Molecular Communications", IEEE Global Communications Conference (GLOBECOM), December 2020.
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Videos
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[ECOC 2020] End-to-End Deep Learning Optimization for Phase-Noise Robust Optical Communications
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All Digital Transmitter
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Machine Learning Power Amplifier
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Polar Coding with Chemical Reaction Networks for Molecular Communications
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EMI reduction in PWM inverters using adaptive frequency modulated carriers
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Through-the-Wall Imaging
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Photonic Integrated Circuits
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1Tbps Optical Transmission
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Software Downloads
