Nan Jiang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 22

Top Topics

Reinforcement Learning

Multiview Video Coding

Information Bottleneck

Top Venues

IEEE J. Sel. Areas Commun.

IEEE Commun. Lett.

Publications

Chuanhong Liu, Caili Guo, Yang Yang, Nan Jiang
Adaptable Semantic Compression and Resource Allocation for Task-Oriented Communications. IEEE Trans. Cogn. Commun. Netw. 10 (3) (2024)
Meiyi Zhu, Chunyan Feng, Caili Guo, Nan Jiang, Osvaldo Simeone
Information Bottleneck-Inspired Type Based Multiple Access for Remote Estimation in IoT Systems. IEEE Signal Process. Lett. 30 (2023)
Meiyi Zhu, Chunyan Feng, Caili Guo, Zhe Liu, Nan Jiang, Osvaldo Simeone
Semantics-Aware Remote Estimation via Information Bottleneck-Inspired Type Based Multiple Access. CoRR (2022)
Nan Jiang, Yansha Deng, Arumugam Nallanathan
Traffic Prediction and Random Access Control Optimization: Learning and Non-Learning-Based Approaches. IEEE Commun. Mag. 59 (3) (2021)
Nan Jiang, Yansha Deng, Arumugam Nallanathan, Jinhong Yuan
A Decoupled Learning Strategy for Massive Access Optimization in Cellular IoT Networks. IEEE J. Sel. Areas Commun. 39 (3) (2021)
Yan Liu, Yansha Deng, Nan Jiang, Maged Elkashlan, Arumugam Nallanathan
Analysis of Random Access in NB-IoT Networks With Three Coverage Enhancement Groups: A Stochastic Geometry Approach. IEEE Trans. Wirel. Commun. 20 (1) (2021)
Nan Jiang, Yansha Deng, Arumugam Nallanathan
Deep Reinforcement Learning for Discrete and Continuous Massive Access Control optimization. ICC (2020)
Nan Jiang, Yansha Deng, Arumugam Nallanathan, Jinhong Yuan
A Decoupled Learning Strategy for Massive Access Optimization in Cellular IoT Networks. CoRR (2020)
Yan Liu, Yansha Deng, Nan Jiang, Maged Elkashlan, Arumugam Nallanathan
Analysis of Random Access in NB-IoT Networks with Three Coverage Enhancement Groups: A Stochastic Geometry Approach. CoRR (2020)
Nan Jiang, Yansha Deng, Arumugam Nallanathan
Traffic Prediction and Random Access Control Optimization: Learning and Non-learning based Approaches. CoRR (2020)
Nan Jiang, Yansha Deng, Arumugam Nallanathan, Jonathon A. Chambers
Reinforcement Learning for Real-Time Optimization in NB-IoT Networks. IEEE J. Sel. Areas Commun. 37 (6) (2019)
Nan Jiang, Yansha Deng, Osvaldo Simeone, Arumugam Nallanathan
Online Supervised Learning for Traffic Load Prediction in Framed-ALOHA Networks. CoRR (2019)
Nan Jiang, Yansha Deng, Osvaldo Simeone, Arumugam Nallanathan
Cooperative Deep Reinforcement Learning for Multiple-group NB-IoT Networks Optimization. ICASSP (2019)
Nan Jiang, Yansha Deng, Osvaldo Simeone, Arumugam Nallanathan
Online Supervised Learning for Traffic Load Prediction in Framed-ALOHA Networks. IEEE Commun. Lett. 23 (10) (2019)
Nan Jiang, Yansha Deng, Arumugam Nallanathan, Xin Kang, Tony Q. S. Quek
Analyzing Random Access Collisions in Massive IoT Networks. IEEE Trans. Wirel. Commun. 17 (10) (2018)
Nan Jiang, Yansha Deng, Osvaldo Simeone, Arumugam Nallanathan
Cooperative Deep Reinforcement Learning for Multiple Groups NB-IoT Networks Optimization. CoRR (2018)
Nan Jiang, Yansha Deng, Arumugam Nallanathan, Jonathon A. Chambers
Deep Reinforcement Learning for Real-Time Optimization in NB-IoT Networks. CoRR (2018)
Nan Jiang, Yansha Deng, Massimo Condoluci, Weisi Guo, Arumugam Nallanathan, Mischa Dohler
RACH Preamble Repetition in NB-IoT Network. IEEE Commun. Lett. 22 (6) (2018)
Nan Jiang, Yansha Deng, Arumugam Nallanathan, Xin Kang, Tony Q. S. Quek
Collision Analysis of mIot Network with Power Ramping Scheme. ICC (2018)
Nan Jiang, Yansha Deng, Xin Kang, Arumugam Nallanathan
Random Access Analysis for Massive IoT Networks Under a New Spatio-Temporal Model: A Stochastic Geometry Approach. IEEE Trans. Commun. 66 (11) (2018)
Nan Jiang, Yansha Deng, Xin Kang, Arumugam Nallanathan
Random Access Analysis for Massive IoT Networks under A New Spatio-Temporal Model: A Stochastic Geometry Approach. CoRR (2017)
Nan Jiang, Yansha Deng, Xin Kang, Arumugam Nallanathan
A New Spatio-Temporal Model for Random Access in Massive IoT Networks. GLOBECOM (2017)