Bomin Mao

发表

AI-Based Joint Optimization of QoS and Security for 6G Energy Harvesting Internet of Things

Nei Kato, Yuichi Kawamoto, Bomin Mao, 2020, IEEE Internet of Things Journal.

Deep Spatiotemporal Partially Overlapping Channel Allocation: Joint CNN and Activity Vector Approach

Nei Kato, Bomin Mao, Zubair Md. Fadlullah, 2018, 2018 IEEE Global Communications Conference (GLOBECOM).

On Extracting the Spatial-Temporal Features of Network Traffic Patterns: A Tensor Based Deep Learning Model

Nei Kato, Bomin Mao, Jiajia Liu, 2018, 2018 International Conference on Network Infrastructure and Digital Content (IC-NIDC).

An Intelligent Route Computation Approach Based on Real-Time Deep Learning Strategy for Software Defined Communication Systems

Nei Kato, Bomin Mao, Zubair Md. Fadlullah, 2019, IEEE Transactions on Emerging Topics in Computing.

A Tensor Based Deep Learning Technique for Intelligent Packet Routing

Nei Kato, Osamu Akashi, Takeru Inoue, 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning

Nei Kato, Osamu Akashi, Takeru Inoue, 2017, IEEE Transactions on Computers.

Harvesting and Threat Aware Security Configuration Strategy for IEEE 802.15.4 Based IoT Networks

Nei Kato, Yuichi Kawamoto, Jiajia Liu, 2019, IEEE Communications Letters.

On Removing Routing Protocol from Future Wireless Networks: A Real-time Deep Learning Approach for Intelligent Traffic Control

Nei Kato, Osamu Akashi, Takeru Inoue, 2018, IEEE Wireless Communications.

Ten Challenges in Advancing Machine Learning Technologies toward 6G

Nei Kato, Yuichi Kawamoto, Bomin Mao, 2020, IEEE Wireless Communications.

On Intelligent Traffic Control for Large-Scale Heterogeneous Networks: A Value Matrix-Based Deep Learning Approach

Nei Kato, Jiajia Liu, Bomin Mao, 2018, IEEE Communications Letters.

AI Models for Green Communications Towards 6G pdf

Nei Kato, Yuichi Kawamoto, Bomin Mao, 2021, IEEE Communications Surveys & Tutorials.

An Intelligent Traffic Load Prediction-Based Adaptive Channel Assignment Algorithm in SDN-IoT: A Deep Learning Approach

Nei Kato, Bomin Mao, Zubair Md. Fadlullah, 2018, IEEE Internet of Things Journal.

A Deep-Learning-Based Radio Resource Assignment Technique for 5G Ultra Dense Networks

Nei Kato, Bomin Mao, Zubair Md. Fadlullah, 2018, IEEE Network.

An Intelligent Packet Forwarding Approach for Disaster Recovery Networks

Nei Kato, Bomin Mao, Zubair Md. Fadlullah, 2019, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).

An Absorbing Markov Chain Based Model to Solve Computation and Communication Tradeoff in GPU-Accelerated MDRUs for Safety Confirmation in Disaster Scenarios

Nei Kato, Bomin Mao, Zubair Md. Fadlullah, 2019, IEEE Transactions on Computers.

Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence

Nei Kato, Atsushi Okamura, Jiajia Liu, 2018, IEEE Wireless Communications.

On a Novel Deep-Learning-Based Intelligent Partially Overlapping Channel Assignment in SDN-IoT

Nei Kato, Bomin Mao, Zubair Md. Fadlullah, 2018, IEEE Communications Magazine.

The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective

Nei Kato, Osamu Akashi, Takeru Inoue, 2017, IEEE Wireless Communications.

A Novel Non-Supervised Deep-Learning-Based Network Traffic Control Method for Software Defined Wireless Networks

Nei Kato, Osamu Akashi, Takeru Inoue, 2018, IEEE Wireless Communications.

ST-DeLTA: A Novel Spatial-Temporal Value Network Aided Deep Learning Based Intelligent Network Traffic Control System

Nei Kato, Jiajia Liu, Bomin Mao, 2020, IEEE Transactions on Sustainable Computing.

On A Novel Adaptive UAV-Mounted Cloudlet-Aided Recommendation System for LBSNs

Ryu Miura, Nei Kato, Bomin Mao, 2019, IEEE Transactions on Emerging Topics in Computing.

Multilayer Virtual Cell-Based Resource Allocation in Low-Power Wide-Area Networks

Nei Kato, Yuichi Kawamoto, Ryota Sasazawa, 2019, IEEE Internet of Things Journal.

State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems

Nei Kato, Osamu Akashi, Takeru Inoue, 2017, IEEE Communications Surveys & Tutorials.

Value Iteration Architecture Based Deep Learning for Intelligent Routing Exploiting Heterogeneous Computing Platforms

Nei Kato, Bomin Mao, Zubair Md. Fadlullah, 2019, IEEE Transactions on Computers.

Comprehensive Survey on Machine Learning in Vehicular Network: Technology, Applications and Challenges

Nei Kato, Guan Gui, Bomin Mao, 2021, IEEE Communications Surveys & Tutorials.

Survey on Machine Learning for Intelligent End-to-End Communication Toward 6G: From Network Access, Routing to Traffic Control and Streaming Adaption

Nei Kato, Yuichi Kawamoto, Bomin Mao, 2021, IEEE Communications Surveys & Tutorials.

Optimizing Computation Offloading in Satellite-UAV-Served 6G IoT: A Deep Learning Approach

Nei Kato, Yuichi Kawamoto, Bomin Mao, 2021, IEEE Network.

Intelligent Reflecting Surface-Aided Vehicular Networks Toward 6G: Vision, Proposal, and Future Directions

Nei Kato, Yuichi Kawamoto, Bomin Mao, 2021, IEEE Vehicular Technology Magazine.