Nan Jiang

According to our database, Nan Jiang authored at least 20 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Toward Multi-Service Edge-Intelligence Paradigm: Temporal-Adaptive Prediction for Time-Critical Control over Wireless.

Adnan Aijaz, Nan Jiang, Aftab Khan

IEEE Internet Things Mag., March, 2023

Information Bottleneck-Inspired Type Based Multiple Access for Remote Estimation in IoT Systems.

Meiyi Zhu, Chunyan Feng, Caili Guo, Nan Jiang, Osvaldo Simeone

IEEE Signal Process. Lett., 2023

2022

Semantics-Aware Remote Estimation via Information Bottleneck-Inspired Type Based Multiple Access.

Meiyi Zhu, Chunyan Feng, Caili Guo, Zhe Liu, Nan Jiang, Osvaldo Simeone

CoRR, 2022

2021

Analysis of Random Access in NB-IoT Networks With Three Coverage Enhancement Groups: A Stochastic Geometry Approach.

Yan Liu, Yansha Deng, Nan Jiang, Maged Elkashlan, Arumugam Nallanathan

IEEE Trans. Wirel. Commun., 2021

A Decoupled Learning Strategy for Massive Access Optimization in Cellular IoT Networks.

Nan Jiang, Yansha Deng, Arumugam Nallanathan, Jinhong Yuan

IEEE J. Sel. Areas Commun., 2021

Traffic Prediction and Random Access Control Optimization: Learning and Non-Learning-Based Approaches.

Nan Jiang, Yansha Deng, Arumugam Nallanathan

IEEE Commun. Mag., 2021

A Self-Configurable Grouping Method for Integrated Wi-SUN FAN and TSCH-based Networks.

Xinyu Ni, Michael Baddeley, Nan Jiang, Yichao Jin

Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

Recursive Periodicity Shifting for Semi-Persistent Scheduling of Time-Sensitive Communication in 5G.

Nan Jiang, Adnan Aijaz, Yichao Jin

Proceedings of the IEEE Global Communications Conference, 2021

Evaluating the Performance of Over-the-Air Time Synchronization for 5G and TSN Integration.

Haochuan Shi, Adnan Aijaz, Nan Jiang

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.

Nan Jiang, Yansha Deng, Arumugam Nallanathan

Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019

Reinforcement Learning for Real-Time Optimization in NB-IoT Networks.

Nan Jiang, Yansha Deng, Arumugam Nallanathan, Jonathon A. Chambers

IEEE J. Sel. Areas Commun., 2019

Online Supervised Learning for Traffic Load Prediction in Framed-ALOHA Networks.

Nan Jiang, Yansha Deng, Osvaldo Simeone, Arumugam Nallanathan

IEEE Commun. Lett., 2019

Cooperative Deep Reinforcement Learning for Multiple-group NB-IoT Networks Optimization.

Nan Jiang, Yansha Deng, Osvaldo Simeone, Arumugam Nallanathan

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Analyzing Random Access Collisions in Massive IoT Networks.

Nan Jiang, Yansha Deng, Arumugam Nallanathan, Xin Kang, Tony Q. S. Quek

IEEE Trans. Wirel. Commun., 2018

Random Access Analysis for Massive IoT Networks Under a New Spatio-Temporal Model: A Stochastic Geometry Approach.

Nan Jiang, Yansha Deng, Xin Kang, Arumugam Nallanathan

IEEE Trans. Commun., 2018

RACH Preamble Repetition in NB-IoT Network.

Nan Jiang, Yansha Deng, Massimo Condoluci, Weisi Guo, Arumugam Nallanathan, Mischa Dohler

IEEE Commun. Lett., 2018

Deep Reinforcement Learning for Real-Time Optimization in NB-IoT Networks.

Nan Jiang, Yansha Deng, Arumugam Nallanathan, Jonathon A. Chambers

CoRR, 2018

Cooperative Deep Reinforcement Learning for Multiple Groups NB-IoT Networks Optimization.

Nan Jiang, Yansha Deng, Osvaldo Simeone, Arumugam Nallanathan

CoRR, 2018

Collision Analysis of mIot Network with Power Ramping Scheme.

Nan Jiang, Yansha Deng, Arumugam Nallanathan, Xin Kang, Tony Q. S. Quek

Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017

A New Spatio-Temporal Model for Random Access in Massive IoT Networks.

Nan Jiang, Yansha Deng, Xin Kang, Arumugam Nallanathan

Proceedings of the 2017 IEEE Global Communications Conference, 2017