no code implementations • 10 Aug 2023 • Aamer Mohamed Huroon, Yu-Chih Huang, Li-Chun Wang
A corresponding mixed integer nonlinear programming problem (MINLP) is formulated, which aims to jointly optimize 1) allocation of BD-RIS elements to groups, 2) BD-RIS phase rotations, 3) rate allocation in RSMA, and 4) precoders.
1 code implementation • journal 2023 • Haoran Peng, Li-Chun Wang
Integrating unmanned aerial vehicles with RIS (UAV–RIS) can offer ubiquitous deployment services in communication-disabled areas, but is limited by the on-board energy of the UAVs.
1 code implementation • IEEE Wireless Communications and Networking Conference (WCNC) 2022 • Haoran Peng, Li-Chun Wang, Geoffrey Ye Li, Ang-Hsun Tsai
Reconfigurable intelligent surface (RIS) is a promising technology for energy efficient wireless communications and has drawn significant attention recently.
1 code implementation • IEEE Transactions on Cognitive Communications and Networking 2022 • Haoran Peng, Ang-Hsun Tsai, Li-Chun Wang, Zhu Han
Unmanned aerial vehicle (UAV) base stations (BSs) can help meet the dynamic traffic demand of flash mobile crowds, but user movements also pose a significant challenge on fast-tracking for avoiding service interruption.
no code implementations • 17 Dec 2019 • Tian Liu, Li-Chun Wang, Shaofan Wang
Fusing low level and high level features is a widely used strategy to provide details that might be missing during convolution and pooling.
no code implementations • 25 Sep 2019 • Haoran Peng, Chao Chen, Chuan-Chi Lai, Li-Chun Wang, Zhu Han
In this paper, we propose a system framework consisting of UEs clustering, UAV-BS placement, UEs trajectories prediction, and UAV-BS reposition matching scheme, to serve the UEs seamlessly as well as minimize the energy cost of UAV-BSs' reposition trajectories.
no code implementations • 25 Sep 2019 • Li-Chun Wang, Chuan-Chi Lai, Hong-Han Shuai, Hsin-Piao Lin, Chi-Yu Li, Teng-Hu Cheng, Chiun-Hsun Chen
Therefore, we propose to develop an "Artificial Intelligence (AI) Drone-Cruiser" base station that can help 5G mobile communication systems and beyond quickly recover the network after a disaster and handle the instant communications by the flash crowd.
no code implementations • 10 Dec 2018 • Tran The Anh, Nguyen Cong Luong, Dusit Niyato, Dong In Kim, Li-Chun Wang
In this letter, we propose to adopt a deep- Q learning algorithm that allows the server to learn and find optimal decisions without any a priori knowledge of network dynamics.
Networking and Internet Architecture
no code implementations • 19 Jan 2018 • Liang Xiao, Xingyu Xiao, Canhuang Dai, Mugen Pengy, Li-Chun Wang, H. Vincent Poor
The Nash quilibrium (NE) of the game is provided, revealing the conditions under which the local energy generation satisfies the energy demand of the MG and providing the performance bound of the energy trading scheme.
Systems and Control