395 citations · 583 across the 9 of their papers we have counts for
9 papers
Three High-rate Beamforming Methods for Active IRS-aided Wireless Network
Feng Shu, Jing liu, Yeqing Lin +5
Due to its ability of breaking the double-fading effect experienced by passive intelligent reflecting surface (IRS), active IRS is evolving a potential technique for future 6G wire…
Heterogeneous Transformer: A Scale Adaptable Neural Network Architecture for Device Activity Detection
Yang Li, Zhilin Chen, Yunqi Wang +2
To support the modern machine-type communications, a crucial task during the random access phase is device activity detection, which is to detect the active devices from a large nu…
Accelerating Coordinate Descent via Active Set Selection for Device Activity Detection for Multi-Cell Massive Random Access
Ziyue Wang, Ya-Feng Liu, Zhilin Chen +1
We propose a computationally efficient algorithm for the device activity detection problem in the multi-cell massive multi-input multi-output (MIMO) system, where the active device…
Sparse Activity Detection in Multi-Cell Massive MIMO Exploiting Channel Large-Scale Fading
Zhilin Chen, Foad Sohrabi, Wei Yu
This paper studies the device activity detection problem in a multi-cell massive multiple-input multiple-output (MIMO) system, in which the active devices transmit signature sequen…
An Efficient Active Set Algorithm for Covariance Based Joint Data and Activity Detection for Massive Random Access with Massive MIMO
Ziyue Wang, Zhilin Chen, Ya-Feng Liu +2
This paper proposes a computationally efficient algorithm to solve the joint data and activity detection problem for massive random access with massive multiple-input multiple-outp…
Deep Active Learning Approach to Adaptive Beamforming for mmWave Initial Alignment
Foad Sohrabi, Zhilin Chen, Wei Yu
This paper proposes a deep learning approach to the adaptive and sequential beamforming design problem for the initial access phase in a mmWave environment with a single-path chann…
Phase Transition Analysis for Covariance Based Massive Random Access with Massive MIMO
Zhilin Chen, Foad Sohrabi, Ya-Feng Liu +1
This paper considers a massive random access problem in which a large number of sporadically active devices wish to communicate with a base station (BS) equipped with massive multi…
Multi-Cell Sparse Activity Detection for Massive Random Access: Massive MIMO versus Cooperative MIMO
Zhilin Chen, Foad Sohrabi, Wei Yu
This paper considers sparse device activity detection for cellular machine-type communications with non-orthogonal signatures using the approximate message passing algorithm. This…
Sparse Activity Detection for Massive Connectivity
Zhilin Chen, Foad Sohrabi, Wei Yu
This paper considers the massive connectivity application in which a large number of potential devices communicate with a base-station (BS) in a sporadic fashion. The detection of…