Nan Jiang
Orcid: 0000-0002-5337-890XAffiliations:
- Samsung Research China-Beijing, Beijing, China
- Queen Mary University of London, School of Electronic Engineering and Computer Science, UK (2017-2020)
According to our database1,
Nan Jiang
authored at least 21 papers
between 2017 and 2024.
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Bibliography
2024
Adaptable Semantic Compression and Resource Allocation for Task-Oriented Communications.
IEEE Trans. Cogn. Commun. Netw., June, 2024
2023
Toward Multi-Service Edge-Intelligence Paradigm: Temporal-Adaptive Prediction for Time-Critical Control over Wireless.
IEEE Internet Things Mag., March, 2023
Information Bottleneck-Inspired Type Based Multiple Access for Remote Estimation in IoT Systems.
IEEE Signal Process. Lett., 2023
2022
Semantics-Aware Remote Estimation via Information Bottleneck-Inspired Type Based Multiple Access.
CoRR, 2022
2021
Analysis of Random Access in NB-IoT Networks With Three Coverage Enhancement Groups: A Stochastic Geometry Approach.
IEEE Trans. Wirel. Commun., 2021
A Decoupled Learning Strategy for Massive Access Optimization in Cellular IoT Networks.
IEEE J. Sel. Areas Commun., 2021
Traffic Prediction and Random Access Control Optimization: Learning and Non-Learning-Based Approaches.
IEEE Commun. Mag., 2021
A Self-Configurable Grouping Method for Integrated Wi-SUN FAN and TSCH-based Networks.
Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021
Recursive Periodicity Shifting for Semi-Persistent Scheduling of Time-Sensitive Communication in 5G.
Proceedings of the IEEE Global Communications Conference, 2021
Evaluating the Performance of Over-the-Air Time Synchronization for 5G and TSN Integration.
Proceedings of the 2021 IEEE International Black Sea Conference on Communications and Networking, 2021
2020
Deep Reinforcement Learning for Discrete and Continuous Massive Access Control optimization.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
2019
IEEE J. Sel. Areas Commun., 2019
IEEE Commun. Lett., 2019
Cooperative Deep Reinforcement Learning for Multiple-group NB-IoT Networks Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
IEEE Trans. Wirel. Commun., 2018
Random Access Analysis for Massive IoT Networks Under a New Spatio-Temporal Model: A Stochastic Geometry Approach.
IEEE Trans. Commun., 2018
CoRR, 2018
Cooperative Deep Reinforcement Learning for Multiple Groups NB-IoT Networks Optimization.
CoRR, 2018
Proceedings of the 2018 IEEE International Conference on Communications, 2018
2017
Proceedings of the 2017 IEEE Global Communications Conference, 2017