Yi Song

According to our database, Yi Song authored at least 15 papers between 2019 and 2025.

Collaborative distances:

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

2025

Achievable Rates for a Distributed Antenna System with No Channel State Information at the Central Processor.

Yi Song, Hao Xu, Kai Wan, Kai-Kit Wong, Giuseppe Caire, Shlomo Shamai

CoRR, July, 2025

Downlink CSIT under Compressed Feedback: Joint vs. Separate Source-Channel Coding.

Yi Song, Tianyu Yang, Mahdi Barzegar Khalilsarai, Giuseppe Caire

CoRR, June, 2025

Cooperative Multistatic Target Detection in Cell-Free Communication Networks.

Tianyu Yang, Shuangyang Li, Yi Song, Kangda Zhi, Giuseppe Caire

Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

2024

An Achievable and Analytic Solution to Information Bottleneck for Gaussian Mixtures.

Yi Song, Kai Wan, Zhenyu Liao, Hao Xu, Giuseppe Caire, Shlomo Shamai

Proceedings of the IEEE International Symposium on Information Theory, 2024

Compressed Sensing Inspired User Acquisition for Downlink Integrated Sensing and Communication Transmissions.

Yi Song, Fernando Pedraza, Shuangyang Li, Siyao Li, Han Yu, Giuseppe Caire

Proceedings of the IEEE International Conference on Communications, 2024

Joint vs. Separate Source-Channel Coding in CSI Feedback for Massive MIMO.

Yi Song, Tianyu Yang, Mahdi Barzegar Khalilsarai, Giuseppe Caire

Proceedings of the IEEE International Conference on Communications, 2024

2023

FDD Massive MIMO Channel Training: Optimal Rate-Distortion Bounds and the Spectral Efficiency of "One-Shot" Schemes.

Mahdi Barzegar Khalilsarai, Yi Song, Tianyu Yang, Giuseppe Caire

IEEE Trans. Wirel. Commun., September, 2023

An Information Bottleneck Approach to Secrecy-Preserving Gaussian Mixture Classification.

Yi Song, Kai Wan, Yuan Zhang, Di Xie, Zhengyu Liao, Giuseppe Caire

CoRR, 2023

Distributed Information Bottleneck for a Primitive Gaussian Diamond MIMO Channel.

Yi Song, Hao Xu, Kai-Kit Wong, Giuseppe Caire, Shlomo Shamai Shitz

Proceedings of the IEEE International Symposium on Information Theory, 2023

Deep-Learning Aided Channel Training and Precoding in FDD Massive MIMO with Channel Statistics Knowledge.

Yi Song, Tianyu Yang, Mahdi Barzegar Khalilsarai, Giuseppe Caire

Proceedings of the IEEE International Conference on Communications, 2023

2022

FDD Massive MIMO Channel Training Optimal Rate Distortion Bounds and the Efficiency of one-shot Schemes.

Mahdi Barzegar Khalilsarai, Yi Song, Tianyu Yang, Giuseppe Caire

CoRR, 2022

Channel State Acquisition in FDD Massive MIMO: Rate-Distortion Bound and Effectiveness of "Analog" Feedback.

Mahdi Barzegar Khalilsarai, Yi Song, Tianyu Yang, Giuseppe Caire

Proceedings of the IEEE International Symposium on Information Theory, 2022

2020

Deep Learning for Geometrically-Consistent Angular Power Spread Function Estimation in Massive MIMO.

Yi Song, Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Giuseppe Caire

Proceedings of the IEEE Global Communications Conference, 2020

2019

Machine Learning for Geometrically-Consistent Angular Spread Function Estimation in Massive MIMO.

Yi Song, Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Giuseppe Caire

CoRR, 2019

Uplink-Downlink Channel Covariance Transformations and Precoding Design for FDD Massive MIMO.

Mahdi Barzegar Khalilsarai, Yi Song, Tianyu Yang, Saeid Haghighatshoar, Giuseppe Caire

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019