most citedVehicle Tracking in Wireless Sensor Networks via Deep Reinforcement Learning

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

eess.SP2024

Co-learning-aided Multi-modal-deep-learning Framework of Passive DOA Estimators for a Heterogeneous Hybrid Massive MIMO Receiver

Jiatong Bai, Feng Shu, Qinghe Zheng +5

Due to its excellent performance in rate and resolution, fully-digital (FD) massive multiple-input multiple-output (MIMO) antenna arrays has been widely applied in data transmissio…

eess.SY2020★ 2 cited

Vehicle Tracking in Wireless Sensor Networks via Deep Reinforcement Learning

Jun Li, Zhichao Xing, Weibin Zhang +2

Vehicle tracking has become one of the key applications of wireless sensor networks (WSNs) in the fields of rescue, surveillance, traffic monitoring, etc. However, the increased tr…