Tao Lei

TL;DR: A VV (Virtual Vehicle), which is an integrated image of driver and vehicle in networks, is constructed and can interact with each other in cyber space by providing traffic service and sharing sensing data coordinately, which can solve the communication bottleneck in physical space.

TL;DR: A universal learning framework, which is called AI framework based on deep reinforcement learning (DRL), which adopts convolutional neural network and recurrent neural network to model the potential spatial features and sequential features from the raw wireless signal automatically and gets significant improvements and learns intuitive features automatically.

TL;DR: A Software Defined Networking (SDN) based campus WLAN framework SWAN is proposed, which is a principled refactoring of campus W LAN into control and data planes and makescampus WLAN more flexible and expansible.

TL;DR: DCRQN is proposed, a novel handoff management scheme based on deep reinforcement learning, specifically deep $Q$ -network that enables the network to learn from actual users’ behaviors and network status from scratch, adapting its learning in time-varying dense WLANs.

TL;DR: In this article, the authors proposed a SDN-based heterogeneous network convergence framework, where the core idea of control and data separation in the software defined network is referred, a controller is added in an EPC core network, user identity information is packaged to be a unique user identifier to serve as the identity certificate during the network access and switching process, and a feasible solution is provided for solving the problem of seamless switching between the LTE network and the WLAN network.