133 citations · 509 across the 19 of their papers we have counts for
21 papers
NOMA Versus Massive MIMO in Rayleigh Fading
Kamil Senel, Hei Victor Cheng, Emil Björnson +1
This paper compares the sum rates and rate regions achieved by power-domain NOMA (non-orthogonal multiple access) and standard massive MIMO (multiple-input multiple-output) techniq…
Degree-of-Freedom of Modulating Information in the Phases of Reconfigurable Intelligent Surface
Hei Victor Cheng, Wei Yu
This paper investigates the information theoretic limit of a reconfigurable intelligent surface (RIS) aided communication scenario in which the RIS and the transmitter either joint…
Enhanced Fairness and Scalability of Power Control Schemes in Multi-Cell Massive MIMO
Amin Ghazanfari, Hei Victor Cheng, Emil Björnson +1
This paper studies the transmit power optimization in multi-cell massive multiple-input multiple-output (MIMO) systems. Network-wide max-min fairness (NW-MMF) and network-wide prop…
A Fair and Scalable Power Control Scheme in Multi-cell Massive MIMO
Amin Ghazanfari, Hei Victor Cheng, Emil Björnson +1
This paper studies the transmit power optimization in a multi-cell massive multiple-input multiple-output (MIMO) system. To overcome the scalability issue of network-wide max-min f…
Learning Class Unique Features in Fine-Grained Visual Classification
Runkai Zheng, Zhijia Yu, Yinqi Zhang +3
A major challenge in Fine-Grained Visual Classification (FGVC) is distinguishing various categories with high inter-class similarity by learning the feature that differentiate the…
Learning to Reflect and to Beamform for Intelligent Reflecting Surface with Implicit Channel Estimation
Tao Jiang, Hei Victor Cheng, Wei Yu
Intelligent reflecting surface (IRS), which consists of a large number of tunable reflective elements, is capable of enhancing the wireless propagation environment in a cellular ne…
Stochastic Transceiver Optimization in Multi-Tags Symbiotic Radio Systems
Xihan Chen, Hei Victor Cheng, Kaiming Shen +2
Symbiotic radio (SR) is emerging as a spectrum- and energy-efficient communication paradigm for future passive Internet-of-things (IoT), where some single-antenna backscatter devic…
Power Control for Massive MIMO Systems with Nonorthogonal Pilots
Xihan Chen, Kaiming Shen, Hei Victor Cheng +3
This letter shows that optimizing the transmit powers along with optimally designed nonorthogonal pilots can significantly reduce pilot contamination and improve the overall throug…
Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User mmWave MIMO Systems
Jie Chen, Ying-Chang Liang, Hei Victor Cheng +1
Channel acquisition is one of the main challenges for the deployment of reconfigurable intelligent surface (RIS) aided communication systems. This is because an RIS has a large num…
Joint Design of Measurement Matrix and Sparse Support Recovery Method via Deep Auto-encoder
Shuaichao Li, Wanqing Zhang, Ying Cui +2
Sparse support recovery arises in many applications in communications and signal processing. Existing methods tackle sparse support recovery problems for a given measurement matrix…
Analysis and Optimization of Successful Symbol Transmission Rate for Grant-free Massive Access with Massive MIMO
Gang Chen, Ying Cui, Hei Victor Cheng +2
Grant-free massive access is an important technique for supporting massive machine-type communications (mMTC) for Internet-of-Things (IoT). Two important features in grant-free mas…
Mixed-Timescale Beamforming and Power Splitting for Massive MIMO Aided SWIPT IoT Network
Xihan Chen, Hei Victor Cheng, An Liu +2
Traditional simultaneous wireless information and power transfer (SWIPT) with power splitting assumes perfect channel state information (CSI), which is difficult to obtain especial…
Large Intelligent Surface/Antennas (LISA): Making Reflective Radios Smart
Ying-Chang Liang, Ruizhe Long, Qianqian Zhang +3
Large intelligent surface/antennas (LISA), a two-dimensional artificial structure with a large number of reflective-surface/antenna elements, is a promising reflective radio techno…
Low Complexity Algorithms for Robust Multigroup Multicast Beamforming
Guangda Zang, Hei Victor Cheng, Ying Cui +4
Existing methods for robust multigroup multicast beamforming obtain feasible points using semidefinite relaxation (SDR) and Gaussian randomization, and have high computational comp…
Enhanced Channel Estimation in Massive MIMO via Coordinated Pilot Design
Kaiming Shen, Hei Victor Cheng, Xihan Chen +2
Pilot contamination is a limiting factor in multicell massive multiple-input multiple-output (MIMO) systems because it can severely impair channel estimation. Prior works have sugg…
Optimal Hybrid Beamforming for Multiuser Massive MIMO Systems With Individual SINR Constraints
Guangda Zang, Ying Cui, Hei Victor Cheng +3
In this letter, we consider optimal hybrid beamforming design to minimize the transmission power under individual signal-to-interference-plus-noise ratio (SINR) constraints in a mu…
What Role Can NOMA Play in Massive MIMO?
Kamil Senel, Hei Victor Cheng, Emil Björnson +1
This paper seeks to answer a simple but fundamental question: What role can NOMA play in massive MIMO? It is well-established that power-domain non-orthogonal multiple access (NOMA…
Performance Analysis of NOMA in Training Based Multiuser MIMO Systems
Hei Victor Cheng, Emil Björnson, Erik G. Larsson
This paper considers the use of NOMA in multiuser MIMO systems in practical scenarios where CSI is acquired through pilot signaling. A new NOMA scheme that uses shared pilots is pr…
Optimal Pilot and Payload Power Control in Single-Cell Massive MIMO Systems
Hei Victor Cheng, Emil Björnson, Erik G. Larsson
This paper considers the jointly optimal pilot and data power allocation in single-cell uplink massive multiple-input-multiple-output (MIMO) systems. Using the spectral efficiency…
Uplink Pilot and Data Power Control for Single Cell Massive MIMO Systems with MRC
Hei Victor Cheng, Emil Björnson, Erik G. Larsson
This paper considers the jointly optimal pilot and data power allocation in single cell uplink massive MIMO systems. A closed form solution for the optimal length of the training i…
A Lattice-Theoretic Characterization of Optimal Minimum-Distance Linear Precoders
D. Kapetanovic, H. V. Cheng, W. H. Mow +1
This work investigates linear precoding over non-singular linear channels with additive white Gaussian noise, with lattice-type inputs. The aim is to maximize the minimum distance…