Search Results for author: Zhiyuan Jiang

Found 8 papers, 0 papers with code

Prediction-based Hybrid Slicing Framework for Service Level Agreement Guarantee in Mobility Scenarios: A Deep Learning Approach

no code implementations6 Aug 2022 Heng Zhang, Guangjin Pan, Shugong Xu, Shunqing Zhang, Zhiyuan Jiang

In the proposal, LSTM networks are employed to predict traffic demand and the location of each user in a slicing window level.

Age of Information Optimized MAC in V2X Sidelink via Piggyback-Based Collaboration

no code implementations24 Feb 2020 Fei Peng, Zhiyuan Jiang, Shunqing Zhang, Shugong Xu

Real-time status update in future vehicular networks is vital to enable control-level cooperative autonomous driving.

Information Theory Networking and Internet Architecture Information Theory

Deep Reinforcement Learning-Based Beam Tracking for Low-Latency Services in Vehicular Networks

no code implementations13 Feb 2020 Yan Liu, Zhiyuan Jiang, Shunqing Zhang, Shugong Xu

Ultra-Reliable and Low-Latency Communications (URLLC) services in vehicular networks on millimeter-wave bands present a significant challenge, considering the necessity of constantly adjusting the beam directions.

reinforcement-learning Reinforcement Learning (RL)

Distributed Policy Learning Based Random Access for Diversified QoS Requirements

no code implementations6 Mar 2019 Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu

Future wireless access networks need to support diversified quality of service (QoS) metrics required by various types of Internet-of-Things (IoT) devices, e. g., age of information (AoI) for status generating sources and ultra low latency for safety information in vehicular networks.

Time-Sequence Channel Inference for Beam Alignment in Vehicular Networks

no code implementations4 Dec 2018 Sheng Chen, Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu

In this paper, we propose a learning-based low-overhead beam alignment method for vehicle-to-infrastructure communication in vehicular networks.

Neural Network simulation

A Two-Step Learning and Interpolation Method for Location-Based Channel Database

no code implementations4 Dec 2018 Ruichen Deng, Zhiyuan Jiang, Sheng Zhou, Shuguang Cui, Zhisheng Niu

Timely and accurate knowledge of channel state information (CSI) is necessary to support scheduling operations at both physical and network layers.

Scheduling

Exploiting Wireless Channel State Information Structures Beyond Linear Correlations: A Deep Learning Approach

no code implementations3 Dec 2018 Zhiyuan Jiang, Sheng Chen, Andreas F. Molisch, Rath Vannithamby, Sheng Zhou, Zhisheng Niu

Knowledge of information about the propagation channel in which a wireless system operates enables better, more efficient approaches for signal transmissions.

Dimensionality Reduction

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