A New Spatio-Temporal Model for Random Access in Massive IoT Networks. - Nan Jiang 004; Yansha Deng; Xin Kang 001; Arumugam Nallanathan (GLOBECOM, 2017)

Collision Analysis of mIot Network with Power Ramping Scheme. - Nan Jiang 004; Yansha Deng; Arumugam Nallanathan; Xin Kang 001; Tony Q. S. Quek (ICC, 2018)

Cooperative Deep Reinforcement Learning for Multiple Groups NB-IoT Networks Optimization. - Nan Jiang 004; Yansha Deng; Osvaldo Simeone; Arumugam Nallanathan (CoRR, 2018)

Deep Reinforcement Learning for Real-Time Optimization in NB-IoT Networks. - Nan Jiang 004; Yansha Deng; Arumugam Nallanathan; Jonathon A. Chambers (CoRR, 2018)

RACH Preamble Repetition in NB-IoT Network. - Nan Jiang 004; Yansha Deng; Massimo Condoluci; Weisi Guo; Arumugam Nallanathan; Mischa Dohler (IEEE Commun. Lett., 2018)

Random Access Analysis for Massive IoT Networks Under a New Spatio-Temporal Model: A Stochastic Geometry Approach. - Nan Jiang 004; Yansha Deng; Xin Kang 001; Arumugam Nallanathan (IEEE Trans. Commun., 2018)

Analyzing Random Access Collisions in Massive IoT Networks. - Nan Jiang 004; Yansha Deng; Arumugam Nallanathan; Xin Kang 001; Tony Q. S. Quek (IEEE Trans. Wirel. Commun., 2018)

Cooperative Deep Reinforcement Learning for Multiple-group NB-IoT Networks Optimization. - Nan Jiang 004; Yansha Deng; Osvaldo Simeone; Arumugam Nallanathan (ICASSP, 2019)

Online Supervised Learning for Traffic Load Prediction in Framed-ALOHA Networks. - Nan Jiang 004; Yansha Deng; Osvaldo Simeone; Arumugam Nallanathan (IEEE Commun. Lett., 2019)

Reinforcement Learning for Real-Time Optimization in NB-IoT Networks. - Nan Jiang 004; Yansha Deng; Arumugam Nallanathan; Jonathon A. Chambers (IEEE J. Sel. Areas Commun., 2019)

Deep Reinforcement Learning for Discrete and Continuous Massive Access Control optimization. - Nan Jiang 004; Yansha Deng; Arumugam Nallanathan (ICC, 2020)

Evaluating the Performance of Over-the-Air Time Synchronization for 5G and TSN Integration. - Haochuan Shi; Adnan Aijaz; Nan Jiang 004 (BlackSeaCom, 2021)

Recursive Periodicity Shifting for Semi-Persistent Scheduling of Time-Sensitive Communication in 5G. - Nan Jiang 004; Adnan Aijaz; Yichao Jin (GLOBECOM, 2021)

A Self-Configurable Grouping Method for Integrated Wi-SUN FAN and TSCH-based Networks. - Xinyu Ni; Michael Baddeley; Nan Jiang 004; Yichao Jin (PIMRC, 2021)

Traffic Prediction and Random Access Control Optimization: Learning and Non-Learning-Based Approaches. - Nan Jiang 004; Yansha Deng; Arumugam Nallanathan (IEEE Commun. Mag., 2021)

A Decoupled Learning Strategy for Massive Access Optimization in Cellular IoT Networks. - Nan Jiang 004; Yansha Deng; Arumugam Nallanathan; Jinhong Yuan (IEEE J. Sel. Areas Commun., 2021)

Analysis of Random Access in NB-IoT Networks With Three Coverage Enhancement Groups: A Stochastic Geometry Approach. - Yan Liu 072; Yansha Deng; Nan Jiang 004; Maged Elkashlan; Arumugam Nallanathan (IEEE Trans. Wirel. Commun., 2021)

Semantics-Aware Remote Estimation via Information Bottleneck-Inspired Type Based Multiple Access. - Meiyi Zhu; Chunyan Feng; Caili Guo; Zhe Liu; Nan Jiang 004; Osvaldo Simeone (CoRR, 2022)

Information Bottleneck-Inspired Type Based Multiple Access for Remote Estimation in IoT Systems. - Meiyi Zhu; Chunyan Feng; Caili Guo; Nan Jiang 004; Osvaldo Simeone (IEEE Signal Process. Lett., 2023)

Toward Multi-Service Edge-Intelligence Paradigm: Temporal-Adaptive Prediction for Time-Critical Control over Wireless. - Adnan Aijaz; Nan Jiang 004; Aftab Khan 001 (IEEE Internet Things Mag., 2023)

Adaptable Semantic Compression and Resource Allocation for Task-Oriented Communications. - Chuanhong Liu; Caili Guo; Yang Yang 057; Nan Jiang 004 (IEEE Trans. Cogn. Commun. Netw., 2024)

Passive Multi-User Traffic Analysis Based on 5G NR/LTE Physical Layer. - Hang Zhang; Dong Wei 002; Nan Jiang 004; Meng Zhang 020; Xiang Meng; Yang Yang 057; Weiqing Huang (IEEE Trans. Inf. Forensics Secur., 2025)