78 citations · 378 across the 37 of their papers we have counts for
6 papers · 1 filter
Networking of Internet of UAVs: Challenges and Intelligent Approaches
Peng Yang, Xianbin Cao, Tony Q. S. Quek +1
Internet of unmanned aerial vehicle (I-UAV) networks promise to accomplish sensing and transmission tasks quickly, robustly, and cost-efficiently via effective cooperation among UA…
Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach
Yang Wang, Zhen Gao, Jun Zhang +5
In this paper, we investigate an unmanned aerial vehicle (UAV)-assisted Internet-of-Things (IoT) system in a sophisticated three-dimensional (3D) environment, where the UAV's traje…
Feeling of Presence Maximization: mmWave-Enabled Virtual Reality Meets Deep Reinforcement Learning
Peng Yang, Tony Q. S. Quek, Jingxuan Chen +2
This paper investigates the problem of providing ultra-reliable and energy-efficient virtual reality (VR) experiences for wireless mobile users. To ensure reliable ultra-high-defin…
CoMP-Enabled RAN Slicing for Tactile Internet
Peng Yang, Xing Xi, Tony Q. S. Quek +1
Tactile Internet (TI) enables the omnipresence and exchange of tactile experiences across the global via the ultra-reliable and ultra-responsive connectivity. This article argues f…
Fresh, Fair and Energy-Efficient Content Provision in a Private and Cache-Enabled UAV Network
Peng Yang, Kun Guo, Xing Xi +3
In this paper, we investigate a private and cache-enabled unmanned aerial vehicle (UAV) network for content provision. Aiming at delivering fresh, fair, and energy-efficient conten…
Fast Randomized-MUSIC for mm-Wave Massive MIMO Radars
Li Bin, Wang Shuseng, Zhang Jun +2
Subspace methods are essential to high-resolution environment sensing in the emerging unmanned systems, if further combined with the millimeter-wave (mm-Wave) massive multi-input m…