25 citations · 36 across the 4 of their papers we have counts for
6 papers
A Predictive On-Demand Placement of UAV Base Stations Using Echo State Network
Haoran Peng, Chao Chen, Chuan-Chi Lai +2
The unmanned aerial vehicles base stations (UAV-BSs) have great potential in being widely used in many dynamic application scenarios. In those scenarios, the movements of served us…
Data-Driven 3D Placement of UAV Base Stations for Arbitrarily Distributed Crowds
Chuan-Chi Lai, Li-Chun Wang, Zhu Han
In this paper, we consider an Unmanned Aerial Vehicle (UAV)-assisted cellular system which consists of multiple UAV base stations (BSs) cooperating the terrestrial BSs. In such a h…
Efficient Training Management for Mobile Crowd-Machine Learning: A Deep Reinforcement Learning Approach
Tran The Anh, Nguyen Cong Luong, Dusit Niyato +2
In this letter, we consider the concept of Mobile Crowd-Machine Learning (MCML) for a federated learning model. The MCML enables mobile devices in a mobile network to collaborative…
An Overflow Problem in Network Coding for Secure Cloud Storage
Yu-Jia Chen, Li-Chun Wang
In this paper we define the overflow problem of a network coding storage system in which the encoding parameter and the storage parameter are mismatched. Through analyses and exper…
Optimal Base Station Deployment for Small Cell Networks with Energy-Efficient Power Control
Ching-Ting Peng, Li-Chun Wang, Chun-Hung Liu
In this paper, how to optimally deploy base station density in a small cell network with energy-efficient power control was investigated. Base stations (BSs) and users form two ind…
Random Cell Association and Void Probability in Poisson-Distributed Cellular Networks
Chun-Hung Liu, Li-Chun Wang
This paper studied the fundamental modeling defect existing in Poisson-distributed cellular networks in which all base stations form a homogeneous Poisson point process (PPP) of in…