Deep learning for super-resolution channel estimation and DOA estimation based massive MIMO system
H Huang, J Yang, H Huang, Y Song… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The recent concept of massive multiple-input multiple-output (MIMO) can significantly
improve the capacity of the communication network, and it has been regarded as a …
improve the capacity of the communication network, and it has been regarded as a …
Flight delay prediction based on aviation big data and machine learning
Accurate flight delay prediction is fundamental to establish the more efficient airline
business. Recent studies have been focused on applying machine learning methods to …
business. Recent studies have been focused on applying machine learning methods to …
Reinforcement learning in multiple-UAV networks: Deployment and movement design
A novel framework is proposed for quality of experience driven deployment and dynamic
movement of multiple unmanned aerial vehicles (UAVs). The problem of joint non-convex …
movement of multiple unmanned aerial vehicles (UAVs). The problem of joint non-convex …
Joint resources and workflow scheduling in UAV-enabled wirelessly-powered MEC for IoT systems
This paper considers a UAV-enabled mobile edge computing (MEC) system, where a UAV
first powers the Internet of things device (IoTD) by utilizing Wireless Power Transfer (WPT) …
first powers the Internet of things device (IoTD) by utilizing Wireless Power Transfer (WPT) …
Beyond D2D: Full dimension UAV-to-everything communications in 6G
In this paper, we consider an Internet of unmanned aerial vehicles (UAVs) over cellular
networks, where UAVs work as aerial users to collect various sensory data, and send the …
networks, where UAVs work as aerial users to collect various sensory data, and send the …
Spectrum sharing for Internet of Things: A survey
The Internet of Things (IoT) is a promising paradigm to accommodate massive device
connections in 5G and beyond. To pave the way for future IoT, spectrum should be planned …
connections in 5G and beyond. To pave the way for future IoT, spectrum should be planned …
Dual-UAV-enabled secure communications: Joint trajectory design and user scheduling
In this paper, we investigate a novel unmanned aerial vehicle (UAV)-enabled secure
communication system. Two UAVs are applied in this system where one UAV moves around …
communication system. Two UAVs are applied in this system where one UAV moves around …
Resource mobility in space information networks: Opportunities, challenges, and approaches
Space information networks (SINs) have been designed to achieve agile acquisition,
transmission, and processing of space information. Compared to traditional terrestrial …
transmission, and processing of space information. Compared to traditional terrestrial …
Deep learning-inspired message passing algorithm for efficient resource allocation in cognitive radio networks
M Liu, T Song, J Hu, J Yang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Energy efficiency (EE) and spectrum efficiency (SE) have received significant attentions on
optimizing the network performance in cognitive radio networks. In this paper, an EE+ SE …
optimizing the network performance in cognitive radio networks. In this paper, an EE+ SE …
EnLSTM-WPEO: Short-term traffic flow prediction by ensemble LSTM, NNCT weight integration, and population extremal optimization
Accurate and stable short-term traffic flow prediction is an indispensable part in current
intelligent transportation systems. In this paper, a novel short-term traffic flow forecasting …
intelligent transportation systems. In this paper, a novel short-term traffic flow forecasting …