Search Results - "Fengxiao Tang"

The Roadmap of Communication and Networking in 6G for the Metaverse by Tang, Fengxiao, Chen, Xuehan, Zhao, Ming, Kato, Nei

“…The Metaverse can be regarded as a hypothesized iteration of the Internet, which enables people to work, play, and interact socially in a persist online 3-D…”
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6G: Opening New Horizons for Integration of Comfort, Security, and Intelligence by Gui, Guan, Liu, Miao, Tang, Fengxiao, Kato, Nei, Adachi, Fumiyuki

“…The innovations provided by sixth generation wireless communication (6G) as compared to fifth generation (5G) are considered in this article based on analysis…”
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Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches by Tang, Fengxiao, Kawamoto, Yuichi, Kato, Nei, Liu, Jiajia

“…As a powerful tool, the vehicular network has been built to connect human communication and transportation around the world for many years to come. However,…”
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Deep Reinforcement Learning for Dynamic Uplink/Downlink Resource Allocation in High Mobility 5G HetNet by Tang, Fengxiao, Zhou, Yibo, Kato, Nei

“…Recently, the 5G is widely deployed for supporting communications of high mobility nodes including train, vehicular and unmanned aerial vehicles (UAVs) largely…”
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Survey on Machine Learning for Intelligent End-to-End Communication Toward 6G: From Network Access, Routing to Traffic Control and Streaming Adaption by Tang, Fengxiao, Mao, Bomin, Kawamoto, Yuichi, Kato, Nei

“…The end-to-end quality of service (QoS) and quality of experience (QoE) guarantee is quite important for network optimization. The current 5G and conceived 6G…”
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Comprehensive Survey on Machine Learning in Vehicular Network: Technology, Applications and Challenges by Tang, Fengxiao, Mao, Bomin, Kato, Nei, Gui, Guan

“…Towards future intelligent vehicular network, the machine learning as the promising artificial intelligence tool is widely researched to intelligentize…”
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Optimizing Computation Offloading in Satellite-UAV-Served 6G IoT: A Deep Learning Approach by Mao, Bomin, Tang, Fengxiao, Kawamoto, Yuichi, Kato, Nei

“…Satellite networks can provide Internet of Things (IoT) devices in remote areas with seamless coverage and downlink multicast transmissions. However, the large…”
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State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's Intelligent Network Traffic Control Systems by Fadlullah, Zubair Md, Fengxiao Tang, Bomin Mao, Kato, Nei, Akashi, Osamu, Inoue, Takeru, Mizutani, Kimihiro

“…Currently, the network traffic control systems are mainly composed of the Internet core and wired/wireless heterogeneous backbone networks. Recently, these…”
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AC-POCA: Anticoordination Game Based Partially Overlapping Channels Assignment in Combined UAV and D2D-Based Networks by Tang, Fengxiao, Fadlullah, Zubair Md, Kato, Nei, Ono, Fumie, Miura, Ryu

“…Device-to-device (D2D)-enabled wireless networks are becoming increasingly popular. However, in remote, rural, and disaster affected areas, it is difficult to…”
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Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence by Kato, Nei, Fadlullah, Zubair Md, Tang, Fengxiao, Mao, Bomin, Tani, Shigenori, Okamura, Atsushi, Liu, Jiajia

“…It is widely acknowledged that the development of traditional terrestrial communication technologies cannot provide all users with fair and high quality…”
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The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective by Kato, Nei, Fadlullah, Zubair Md, Mao, Bomin, Tang, Fengxiao, Akashi, Osamu, Inoue, Takeru, Mizutani, Kimihiro

“…Recently, deep learning, an emerging machine learning technique, is garnering a lot of research attention in several computer science areas. However, to the…”
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A Deep Reinforcement Learning-Based Dynamic Traffic Offloading in Space-Air-Ground Integrated Networks (SAGIN) by Tang, Fengxiao, Hofner, Hans, Kato, Nei, Kaneko, Kazuma, Yamashita, Yasutaka, Hangai, Masatake

“…Space-Air-Ground Integrated Networks (SAGIN) is considered as the key structure of the next generation network. The space satellites and air nodes are the…”
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Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning by Bomin Mao, Fadlullah, Zubair Md, Fengxiao Tang, Kato, Nei, Akashi, Osamu, Inoue, Takeru, Mizutani, Kimihiro

“…Recent years, Software Defined Routers (SDRs) (programmable routers) have emerged as a viable solution to provide a cost-effective packet processing platform…”
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On Removing Routing Protocol from Future Wireless Networks: A Real-time Deep Learning Approach for Intelligent Traffic Control by Fengxiao Tang, Bomin Mao, Fadlullah, Zubair Md, Kato, Nei, Akashi, Osamu, Inoue, Takeru, Mizutani, Kimihiro

“…Recently, deep learning has appeared as a breakthrough machine learning technique for various areas in computer science as well as other disciplines. However,…”
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An Intelligent Traffic Load Prediction-Based Adaptive Channel Assignment Algorithm in SDN-IoT: A Deep Learning Approach by Tang, Fengxiao, Fadlullah, Zubair Md, Mao, Bomin, Kato, Nei

“…Due to the fast increase of sensing data and quick response requirement in the Internet of Things (IoT) delivery network, the high speed transmission has…”
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A deep learning-based framework for detecting COVID-19 patients using chest X-rays by Asif, Sohaib, Zhao, Ming, Tang, Fengxiao, Zhu, Yusen

“…Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has caused outbreaks of new coronavirus disease (COVID-19) around the world. Rapid and accurate…”
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Reinforcement Learning-Based Radio Resource Control in 5G Vehicular Network by Zhou, Yibo, Tang, Fengxiao, Kawamoto, Yuichi, Kato, Nei

“…Recently, the number of user equipment with high mobility (such as vehicles) and the high traffic demand is immensely increasing. To sustaining the traffic…”
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Value Iteration Architecture Based Deep Learning for Intelligent Routing Exploiting Heterogeneous Computing Platforms by Fadlullah, Zubair Md, Mao, Bomin, Tang, Fengxiao, Kato, Nei

“…Recently, the rapid advancement of high computing platforms has accelerated the development and applications of artificial intelligence techniques. Deep…”
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On Intelligent Traffic Control for Large-Scale Heterogeneous Networks: A Value Matrix-Based Deep Learning Approach by Md. Fadlullah, Zubair, Tang, Fengxiao, Mao, Bomin, Liu, Jiajia, Kato, Nei

“…Recently, deep learning has emerged as an attractive technique to intelligently control network traffic. However, the contemporary researches only focused on…”
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Survey on Digital Twin Edge Networks (DITEN) Toward 6G by Tang, Fengxiao, Chen, Xuehan, Rodrigues, Tiago Koketsu, Zhao, Ming, Kato, Nei

“…The next generation (6G) wireless systems aim to cater to the Internet of Everything (IoE) and revolutionize customer services and applications to a fully…”
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