Lixin Li

TL;DR: A novel wireless power transmission (WPT) system, where an unmanned aerial vehicle (UAV) equipped with radio frequency energy transmitter charges the IoT devices and greatly mitigates the interference, and improves the energy efficiency of the whole network.

TL;DR: The novel schemes based on deep reinforcement learning are proposed to implement the dynamic decision making and optimization of the content delivery problems, aiming at improving the quality of experience of overall caching system.

TL;DR: A hybrid beamforming scheme based on the cross-entropy estimation with the robustness algorithm inspired by machine learning and a novel mean field game (MFG)-based massive MIMO angle control scheme to model the optimal mmWave channel optimization problem between UAVs and ground users are proposed.

TL;DR: A new multiplicative update algorithm for minimizing the Euclidean distance between approximate and true values is proposed based on the optimization principle and the auxiliary function method and it is proved that this new algorithm not only converges to a stationary point, but also does faster than existing ones.

TL;DR: This article proposes a user clustering matching (UCM) algorithm exploiting the differences in channel gains of users, and solves the resource allocation problem of a NOMA-MEC system in an ultra-dense network (UDN), using the novel deep deterministic policy gradient (DDPG) method.