Jianan Bai

According to our database, Jianan Bai authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

A Unified Activity Detection Framework for Massive Access: Beyond the Block-Fading Paradigm.

Jianan Bai, Erik G. Larsson

CoRR, 2024

Delay-Constrained Grant-Free Random Access in MIMO Systems: Distributed Pilot Allocation and Power Control.

Jianan Bai, Zheng Chen, Erik G. Larsson

CoRR, 2024

Stability Analysis of Interacting Wireless Repeaters.

Erik G. Larsson, Jianan Bai

Proceedings of the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2024

2023

Robust Covariance-Based Activity Detection for Massive Access.

Jianan Bai, Erik G. Larsson

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Activity Detection in Distributed MIMO: Distributed AMP via Likelihood Ratio Fusion.

Jianan Bai, Erik G. Larsson

IEEE Wirel. Commun. Lett., 2022

Differential Privacy Meets Federated Learning Under Communication Constraints.

Nima Mohammadi, Jianan Bai, Qiang Fan, Yifei Song, Yang Yi, Lingjia Liu

IEEE Internet Things J., 2022

Delay-Aware Resource Allocation in Fog-Assisted IoT Networks Through Reinforcement Learning.

Qiang Fan, Jianan Bai, Hongxia Zhang, Yang Yi, Lingjia Liu

IEEE Internet Things J., 2022

Resource Allocation for D2D Cellular Networks With QoS Constraints: A DC Programming- Based Approach.

Hao-Hsuan Chang, Lingjia Liu, Jianan Bai, Alex Pidwerbetsky, Allan Berlinsky, Joe Huang, Jonathan D. Ashdown, Kurt A. Turck, Yang Yi

IEEE Access, 2022

2021

Multiagent Reinforcement Learning Meets Random Access in Massive Cellular Internet of Things.

Jianan Bai, Hao Song, Yang Yi, Lingjia Liu

IEEE Internet Things J., 2021

Multi-agent Policy Optimization for Pilot Selection in Delay-constrained Grant-free Multiple Access.

Jianan Bai, Zheng Chen, Erik G. Larsson

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Accelerating Model-Free Reinforcement Learning With Imperfect Model Knowledge in Dynamic Spectrum Access.

Lianjun Li, Lingjia Liu, Jianan Bai, Hao-Hsuan Chang, Hao Chen, Jonathan D. Ashdown, Jianzhong Zhang, Yang Yi

IEEE Internet Things J., 2020

Artificial Intelligence Enabled Internet of Things: Network Architecture and Spectrum Access.

Hao Song, Jianan Bai, Yang Yi, Jinsong Wu, Lingjia Liu

IEEE Comput. Intell. Mag., 2020

Intelligent DSA-assisted clustered IoT networks: neuromorphic computing meets genetic algorithm.

Qiang Fan, Jianan Bai, Hao-Hsuan Chang, Lianjun Li, Shiya Liu, Joe Huang, John Burgess, Allan Berlinsky, Alex Pidwerbetsky, Jonathan D. Ashdown, Kurt A. Turck, Lingjia Liu

Proceedings of the NANOCOM '20: The Seventh Annual ACM International Conference on Nanoscale Computing and Communication, 2020

2019

Low Latency Scalable Point Cloud Communication in VANETs using V2I Communication.

Anique Akhtar, Junchao Ma, Rubayet Shafin Bradley Shafin, Jianan Bai, Lianjun Li, Zhu Li, Lingjia Liu

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018

Self-Interference Channel Estimation for Full-Duplex MIMO-OFDM Systems with Phase Noise.

Jianan Bai, Meng He, Chuan Huang

Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018