6 papers
Heterogeneous Vertiport Selection Optimization for On-Demand Air Taxi Services: A Deep Reinforcement Learning Approach
Aoyu Pang, Maonan Wang, Zifan Sha +4
Urban Air Mobility (UAM) has emerged as a transformative solution to alleviate urban congestion by utilizing low-altitude airspace, thereby reducing pressure on ground transportati…
Conceal Truth while Show Fake: T/F Frequency Multiplexing based Anti-Intercepting Transmission
Zhisheng Yin, Nan Cheng, Mingjie Wang +2
In wireless communication adversarial scenarios, signals are easily intercepted by non-cooperative parties, exposing the transmission of confidential information. This paper propos…
Anti-Intercept OFDM Waveform Design with Secure Coding for Satellite Networks
Zhisheng Yin, Yonghong Liu, Dongbo Li +4
Low Earth Orbit (LEO) satellite networks are integral to next-generation communication systems, providing global coverage, low latency, and minimal signal loss. However, their uniq…
Knowledge-Driven Deep Learning Paradigms for Wireless Network Optimization in 6G
Ruijin Sun, Nan Cheng, Changle Li +2
In the sixth-generation (6G) networks, newly emerging diversified services of massive users in dynamic network environments are required to be satisfied by multi-dimensional hetero…
Asynchronous Wireless Federated Learning with Probabilistic Client Selection
Jiarong Yang, Yuan Liu, Fangjiong Chen +2
Federated learning (FL) is a promising distributed learning framework where distributed clients collaboratively train a machine learning model coordinated by a server. To tackle th…
Performance Analysis of RIS-Aided Double Spatial Scattering Modulation for mmWave MIMO Systems
Xusheng Zhu, Wen Chen, Qingqing Wu +4
In this paper, we investigate a practical structure of reconfigurable intelligent surface (RIS)-based double spatial scattering modulation (DSSM) for millimeter-wave (mmWave) multi…