39 citations · 74 across the 16 of their papers we have counts for
16 papers
URLLC in IRS-Aided MIMO Systems: Finite Blocklength Analysis and Design
Xin Zhang, Shenghui Song
This paper investigates the ultra reliable and low latency communication (URLLC) performance of the IRS-aided MIMO system. The upper and lower bounds of the optimal average error p…
Integrated Sensing and Communication in Coordinated Cellular Networks
Dongfang Xu, Chang Liu, Shenghui Song +1
Integrated sensing and communication (ISAC) is a promising technique to provide sensing services in future wireless networks. Numerous existing works have adopted a monostatic rada…
Active IRS-Aided MIMO Systems: How Much Gain Can We Get?
Zeyan Zhuang, Xin Zhang, Dongfang Xu +1
Intelligent reflecting surfaces (IRSs) have emerged as a promising technology to improve the efficiency of wireless communication systems. However, passive IRSs suffer from the ``m…
Secrecy Analysis for MISO Broadcast Systems with Regularized Zero-Forcing Precoding
Xin Zhang, Shenghui Song, Yonina C. Eldar
As an effective way to enhance the physical layer security (PLS) for the broadcast channel (BC), regularized zero-forcing (RZF) precoding has attracted much attention. However, the…
Mutual Information Density of Massive MIMO Systems over Rayleigh-Product Channels
Xin Zhang, Shenghui Song
The Rayleigh-product channel model is utilized to characterize the rank deficiency caused by keyhole effects. However, the finite blocklength analysis for Rayleigh product channels…
Secrecy Analysis for IRS-aided Wiretap MIMO Communications: Fundamental Limits and System Design
Xin Zhang, Shenghui Song
In order to meet the demands of future innovative applications, many efforts have been made to exceed the limits predicted by Shannon's Theory. Besides the investigation of beyond-…
Iterative Sparse Recovery based Passive Localization in Perceptive Mobile Networks
Lei Xie, Shenghui Song
Perceptive mobile networks (PMNs) were proposed to integrate sensing capability into current cellular networks where multiple sensing nodes (SNs) can collaboratively sense the same…
SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling
Ho Man Kwan, Shenghui Song
Downsampling is widely adopted to achieve a good trade-off between accuracy and latency for visual recognition. Unfortunately, the commonly used pooling layers are not learned, and…
Asymptotic Mutual Information Analysis for Double-scattering MIMO Channels: A New Approach by Gaussian Tools
Xin Zhang, Shenghui Song
The asymptotic mutual information (MI) analysis for multiple-input multiple-output (MIMO) systems over double-scattering channels has achieved engaging results, but the convergence…
FedDQ: Communication-Efficient Federated Learning with Descending Quantization
Linping Qu, Shenghui Song, Chi-Ying Tsui
Federated learning (FL) is an emerging learning paradigm without violating users' privacy. However, large model size and frequent model aggregation cause serious communication bott…
Bias for the Trace of the Resolvent and Its Application on Non-Gaussian and Non-centered MIMO Channels
Xin Zhang, S. H. Song
The mutual information (MI) of Gaussian multi-input multi-output (MIMO) channels has been evaluated by utilizing random matrix theory (RMT) and shown to asymptotically follow Gauss…
Mobility Increases the Data Offloading Ratio in D2D Caching Networks
Rui Wang, Jun Zhang, S. H. Song +1
Caching at mobile devices, accompanied by device-to-device (D2D) communications, is one promising technique to accommodate the exponentially increasing mobile data traffic. While m…
QoS-Aware Joint Mode Selection and Channel Assignment for D2D Communications
Rui Wang, Jun Zhang, S. H. Song +1
Underlaying device-to-device (D2D) communications to a cellular network is considered as a key technique to improve spectral efficiency in 5G networks. For such D2D systems, mode s…
Selective Uplink Training for Massive MIMO Systems
Changming Li, Jun Zhang, Shenghui Song +1
As a promising technique to meet the drastically growing demand for both high throughput and uniform coverage in the fifth generation (5G) wireless networks, massive multiple-input…
Cache Size Allocation in Backhaul Limited Wireless Networks
Xi Peng, Jun Zhang, S. H. Song +1
Caching popular content at base stations is a powerful supplement to existing limited backhaul links for accommodating the exponentially increasing mobile data traffic. Given the l…
Cooperative Cognitive Networks: Optimal, Distributed and Low-Complexity Algorithms
Gan Zheng, S. H. Song, Kai-Kit Wong +1
This paper considers the cooperation between a cognitive system and a primary system where multiple cognitive base stations (CBSs) relay the primary user's (PU) signals in exchange…