activity
20122026
most citedA Coordinated Approach to Channel Estimation in Large-scale Multiple-antenna Systems

1.2k citations · 1.3k across the 12 of their papers we have counts for

collaborators

12 papers

cs.LG2026

Beyond the Matrix Sign: Quadratic Spectral Descent

Qiaozhe Zhang, Jun Sun, Yingzhuang Liu

Muon emerges as a strong competitor of the AdamW for LLM pretraining, because the matrix-wise update it employs can potentially incur smaller second-order penalty than the once dom…

eess.SP2026

CMT-Aware Channel Modeling and Transmit-Power Minimization for Pinching-Antenna Systems

Chuang Luo, Gui Zhou, Vasilis K. Papanikolaou +2

This letter investigates transmit-power minimization for multiuser pinching-antenna system (PAS) from a coupled-mode-theory (CMT)-aware perspective. Existing CMT-based pinching ant…

cs.IT2026

Over-the-Air Interference Nulling Using Passive RIS for Two-Way K-User Interference Channel

Junzhi Wang, Jun Sun, Limin Liao +2

Interference constitutes the fundamental performance bottleneck in wireless networks. Meanwhile, reconfigurable intelligent surface (RIS) has emerged as a promising technique for i…

cs.IT2026

Over-the-Air Interference Nulling Using Active RIS

Junzhi Wang, Jun Sun, Limin Liao +2

Interference fundamentally limits the performance of dense wireless networks, and reconfigurable intelligent surfaces (RIS) have recently emerged as a promising means of enabling i…

eess.SP2026

Digital Self-Interference Cancellation in Full-Duplex Radios: A Fundamental Limit Perspective

Limin Liao, Jun Sun, Junzhi Wang +4

D-SIC is of crucial importance for the implementation of IBFD radios. Unfortunately, the achievable performance limit remains underexplored. To fill this gap, in this paper we aim…

eess.SP2025

When Vision-Language Model (VLM) Meets Beam Prediction: A Multimodal Contrastive Learning Framework

Ji Wang, Bin Tang, Jian Xiao +3

As the real propagation environment becomes in creasingly complex and dynamic, millimeter wave beam prediction faces huge challenges. However, the powerful cross modal representati…

eess.SP2025

Analog Self-Interference Cancellation in Full-Duplex Radios: A Fundamental Limit Perspective

Limin Liao, Jun Sun, Junzhi Wang +1

Analog self-interference cancellation (A-SIC) plays a crucial role in the implementation of in-band full-duplex (IBFD) radios, due to the fact that the inherent transmit (Tx) noise…

cs.IT2024

Achieving Interference-Free Degrees of Freedom in Cellular Networks via RIS

Junzhi Wang, Jun Sun, Zheng Xiao +2

It's widely perceived that Reconfigurable Intelligent Surfaces (RIS) cannot increase Degrees of Freedom (DoF) due to their relay nature. A notable exception is Jiang \& Yu's work.…

stat.ML2023★ 1 cited

How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective

Qiaozhe Zhang, Ruijie Zhang, Jun Sun +1

Network pruning is a commonly used measure to alleviate the storage and computational burden of deep neural networks. However, the fundamental limit of network pruning is still lac…

cs.IT2019★ 3 cited

Addressing the curse of mobility in massive MIMO with Prony-based angular-delay domain channel predictions

Haifan Yin, Haiquan Wang, Yingzhuang Liu +1

Massive MIMO is widely touted as an enabling technology for 5th generation (5G) mobile communications and beyond. On paper, the large excess of base station (BS) antennas promises…

cs.IT2015★ 31 cited

The Impact of Physical Channel on Performance of Subspace-Based Channel Estimation in Massive MIMO Systems

Mohammed Teeti, Jun Sun, David Gesbert +1

A subspace method for channel estimation has been recently proposed [1] for tackling the pilot contamination effect, which is regarded by some researchers as a bottleneck in massiv…

cs.IT2012★ 1.2k cited

A Coordinated Approach to Channel Estimation in Large-scale Multiple-antenna Systems

Haifan Yin, David Gesbert, Miltiades Filippou +1

This paper addresses the problem of channel estimation in multi-cell interference-limited cellular networks. We consider systems employing multiple antennas and are interested in b…