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Wei Xu
Researcher at Nanjing Medical University
Publications - 866
Citations - 16476
Wei Xu is an academic researcher from Nanjing Medical University. The author has contributed to research in topics: Medicine & MIMO. The author has an hindex of 49, co-authored 700 publications receiving 11110 citations. Previous affiliations of Wei Xu include King's College London & Southeast University.
Papers
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Multicell MIMO Communications Relying on Intelligent Reflecting Surfaces
TL;DR: This paper proposes to invoke an IRS at the cell boundary of multiple cells to assist the downlink transmission to cell-edge users, whilst mitigating the inter-cell interference, which is a crucial issue in multicell communication systems.
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Low-Complexity Hybrid Precoding in Massive Multiuser MIMO Systems
Le Liang,Wei Xu,Xiaodai Dong +2 more
TL;DR: The proposed hybrid precoding scheme, named phased-ZF (PZF), essentially applies phase-only control at the RF domain and then performs a low-dimensional baseband ZF precoding based on the effective channel seen from baseband.
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Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted Multi-Antenna Communications
TL;DR: In this article, the authors investigate transmission optimization for intelligent reflecting surface (IRS) assisted multi-antenna systems from the physical-layer security perspective, where the design goal is to maximize the system secrecy rate subject to the source transmit power constraint and the unit modulus constraints imposed on phase shifts at the IRS.
Journal ArticleDOI
Resource Allocation for D2D-Enabled Vehicular Communications
Le Liang,Geoffrey Ye Li,Wei Xu +2 more
TL;DR: This paper attempts to maximize the ergodic capacity of the V2I connections while ensuring reliability guarantee for each V2V link, and proposes novel algorithms that yield optimal resource allocation and are robust to channel variations.
Posted Content
Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted Multi-Antenna Communications
TL;DR: An efficient alternating algorithm is developed where the solutions to the transmit covariance of the source and the phase shift matrix of the IRS are achieved in closed form and semi-closed form, respectively.