1 citations · 2 across the 7 of their papers we have counts for
5 papers · 1 filter
User Association and Coordinated Beamforming in Cognitive Aerial-Terrestrial Networks: A Safe Reinforcement Learning Approach
Zizhen Zhou, Jungang Ge, Ying-Chang Liang
Cognitive aerial-terrestrial networks (CATNs) offer a solution to spectrum scarcity by sharing spectrum between aerial and terrestrial networks. However, aerial users (AUs) experie…
Towards Symbiotic SAGIN Through Inter-operator Resource and Service Sharing: Joint Orchestration of User Association and Radio Resources
Shizhao He, Jungang Ge, Ying-Chang Liang +1
The space-air-ground integrated network (SAGIN) is a pivotal architecture to support ubiquitous connectivity in the upcoming 6G era. Inter-operator resource and service sharing is…
Active Reconfigurable Intelligent Surface Enhanced Spectrum Sensing for Cognitive Radio Networks
Jungang Ge, Ying-Chang Liang, Sumei Sun +2
In opportunistic cognitive radio networks, when the primary signal is very weak compared to the background noise, the secondary user requires long sensing time to achieve a reliabl…
Deep Reinforcement Learning for Distributed Dynamic Coordinated Beamforming in Massive MIMO Cellular Networks
Jungang Ge, Ying-Chang Liang, Liao Zhang +2
To accommodate the explosive wireless traffics, massive multiple-input multiple-output (MIMO) is regarded as one of the key enabling technologies for next-generation communication…
RIS-Enhanced Spectrum Sensing: How Many Reflecting Elements Are Required to Achieve a Detection Probability Close to 1?
Jungang Ge, Ying-Chang Liang
In this paper, we propose an reconfigurable intelligent surface (RIS) enhanced spectrum sensing system, in which the primary transmitter is equipped with single antenna, the second…