4 papers
Static Deep Q-learning for Green Downlink C-RAN
Yuchao Chang, Hongli Wang, Wen Chen +2
Power saving is a main pillar in the operation of wireless communication systems. In this paper, we investigate cloud radio access network (C-RAN) capability to reduce power consum…
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…
Antenna Positioning and Beamforming Design for Fluid-Antenna Enabled Multi-user Downlink Communications
Haoran Qin, Wen Chen, Zhendong Li +3
This paper investigates a multiple input single output (MISO) downlink communication system in which users are equipped with fluid antennas (FAs). First, we adopt a field-response…