Shuowen Zhang

Publications47
h-index17
Citations1,684
Highly Influential Citations99
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Capacity Characterization for Intelligent Reflecting Surface Aided MIMO Communication
TLDR
The fundamental capacity limit of IRS-aided point-to-point multiple-input multiple-output (MIMO) communication systems with multi-antenna transmitter and receiver is characterized by jointly optimizing the IRS reflection coefficients and the MIMO transmit covariance matrix.
Intelligent Reflecting Surface-Aided Wireless Communications: A Tutorial
TLDR
This paper provides a tutorial overview of IRS-aided wireless communications, and elaborate its reflection and channel models, hardware architecture and practical constraints, as well as various appealing applications in wireless networks.
Intelligent Reflecting Surface Meets OFDM: Protocol Design and Rate Maximization
TLDR
An IRS-enhanced orthogonal frequency division multiplexing (OFDM) system under frequency-selective channels is studied and an efficient algorithm to obtain a high-quality suboptimal solution is proposed, by alternately optimizing the power allocation and the passive array coefficients in an iterative manner.
Cellular-Enabled UAV Communication: A Connectivity-Constrained Trajectory Optimization Perspective
TLDR
This paper proposes an efficient method to verify its feasibility via checking the connectivity between two given vertices on an equivalent graph, and obtains useful structural results on the optimal UAV trajectory, based on which two efficient methods are proposed to find high-quality approximate trajectory solutions by leveraging the techniques from graph theory and convex optimization.
Joint Altitude and Beamwidth Optimization for UAV-Enabled Multiuser Communications
TLDR
This work jointly optimize the UAV’s flying altitude and antenna beamwidth for throughput optimization in three fundamental multiuser communication models, namely, UAV-enabled downlink multicasting, downlink broadcasting, and uplink multiple access.
Cellular-Enabled UAV Communication: Trajectory Optimization under Connectivity Constraint
TLDR
By examining the GBS-UAV association sequence during the UAV mission, this paper obtains useful insights on the optimal UAV trajectory, based on which an efficient algorithm is proposed to find an approximate solution to the trajectory optimization problem by leveraging techniques in convex optimization and graph theory.
Radio Map Based Path Planning for Cellular-Connected UAV
TLDR
The proposed solutions can effectively minimize the flying distance of the UAV subject to its communication quality constraint and a flexible trade-off between performance and complexity can be achieved by adjusting the quantization ratio for the radio map.
Cooperative Double-IRS Aided Communication: Beamforming Design and Power Scaling
TLDR
Simulation results validate that the performance of deploying two cooperative IRSs is significantly better than that of deploying one IRS given a sufficient total number of IRS elements, and show that deploying two Cooperative IRSs with in total can yield a power gain of order.
IRS-Enhanced OFDMA: Joint Resource Allocation and Passive Beamforming Optimization
TLDR
A novel dynamic passive beamforming scheme where the IRS reflection coefficients are dynamically adjusted over different time slots within each channel coherence block to create artificial time-varying channels and select only a subset of the users to be simultaneously served in each time slot, thus achieving a higher passive beamform gain.
IRS-Enhanced OFDM: Power Allocation and Passive Array Optimization
TLDR
An efficient algorithm is proposed to obtain a high-quality suboptimal solution for the OFDM link rate performance, by alternately optimizing the BS's power allocation and the IRS's passive array coefficients in an iterative manner, along with a customized method for the initialization.
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