184 citations · 558 across the 31 of their papers we have counts for
11 papers · 1 filter
Intelligent Network Slicing for V2X Services Towards 5G
Jie Mei, Xianbin Wang, Kan Zheng
Benefiting from the widely deployed LTE infrastructures, the fifth generation (5G) wireless networks have been becoming a critical enabler for the emerging vehicle-to-everything (V…
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
Lei Lei, Yue Tan, Kan Zheng +4
The Internet of Things (IoT) extends the Internet connectivity into billions of IoT devices around the world, where the IoT devices collect and share information to reflect status…
Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge Computing
Lei Lei, Huijuan Xu, Xiong Xiong +3
By leveraging the concept of mobile edge computing (MEC), massive amount of data generated by a large number of Internet of Things (IoT) devices could be offloaded to MEC server at…
Patent Analytics Based on Feature Vector Space Model: A Case of IoT
Lei Lei, Jiaju Qi, Kan Zheng
The number of approved patents worldwide increases rapidly each year, which requires new patent analytics to efficiently mine the valuable information attached to these patents. Ve…
Twin-Timescale Radio Resource Management for Ultra-Reliable and Low-Latency Vehicular Networks
Haojun Yang, Kan Zheng, Long Zhao +1
To efficiently support safety-related vehicular applications, the ultra-reliable and low-latency communication (URLLC) concept has become an indispensable component of vehicular ne…
Short-term Road Traffic Prediction based on Deep Cluster at Large-scale Networks
Lingyi Han, Kan Zheng, Long Zhao +2
Short-term road traffic prediction (STTP) is one of the most important modules in Intelligent Transportation Systems (ITS). However, network-level STTP still remains challenging du…