Results 1 to 10 of about 89,179 (205)
IEEE Access, 2017 Machine-type communications are emerging as a new paradigm for enabling a broad range of applications from the massive deployment of sensor devices to mission-critical services.
Jiantao Yuan +4 more
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IEEE Access, 2019 Machine-to-machine (M2M) communications, which are considered as an integral part of the Internet of Things (IoT), are being more and more ubiquitous. Meanwhile, due to the advantages of cellular networks (e.g., excellent coverage and mobility/roaming ...
Zeming Li, Jinsong Gui
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Cognitive machine-to-machine communications: visions and potentials for the smart grid
IEEE Network, 2012 Based upon cognitive radio technology, we propose a new Machine-to-Machine (M2M) communications paradigm, namely Cognitive M2M (CM2M) communication. We first motivate the use of cognitive radio technology in M2M communications from different point of ...
Maziar Nekovee, Yan Zhang, Rong Yu
exaly +2 more sources
IEEE Wireless Communications, 2014 Machine-to-machine wireless systems are being standardized to provide ubiquitous connectivity between machines without the need for human intervention.
Mischa Dohler +2 more
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IEEE Access, 2022 Machine-to-machine (M2M) communications can effectively utilize cognitive radio (CR) to coexist with cellular users in what is known as cognitive M2M (CM2M) communications. In this system, underlay CR is used to manage spectrum sharing among machine type
Nedaa Alhussien, T. Aaron Gulliver
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Machine Learning to Optimize TCP Communications Over High Frequency Communications Links
IEEE Access, 2022 High Frequency communication is a proven method of beyond line of sight (BLOS) communications for decades. With the advent of Wideband HF (WBHF), the ability to communicate data and more specifically TCP over HF is being researched worldwide.
Alvin Dmello +3 more
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Energy Efficient Resource Allocation in Machine-to-Machine Communications With Multiple Access and Energy Harvesting for IoT [PDF]
IEEE Internet of Things Journal, 2017 This paper studies energy efficient resource allocation for a machine-to-machine enabled cellular network with nonlinear energy harvesting, especially focusing on two different multiple access strategies, namely nonorthogonal multiple access (NOMA) and ...
Zhao-Hui Yang +4 more
semanticscholar +1 more source
Tikrit Journal of Engineering Sciences, 2023 The Internet of Things (IoT) technology has recently emerged as a potential global communication medium that efficiently facilitates human-to-human, human-to-machine, and machine-to-machine communications.
Ahamd Khader Habboush +4 more
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Photonics, 2020 As the Internet of Things (IoT) develops, applying machine learning on optical communications has become a prospective field of research. Scholars have mostly concentrated on algorithmic techniques or specific applications but have been unable to address
Shu-Hao Chang
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Federated Learning for 6G: Applications, Challenges, and Opportunities
Engineering, 2022 Standard machine-learning approaches involve the centralization of training data in a data center, where centralized machine-learning algorithms can be applied for data analysis and inference.
Zhaohui Yang +4 more
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