J
Jianxin Dai
Researcher at Nanjing University of Posts and Telecommunications
Publications - 10
Citations - 289
Jianxin Dai is an academic researcher from Nanjing University of Posts and Telecommunications. The author has contributed to research in topics: MIMO & Computer science. The author has an hindex of 2, co-authored 5 publications receiving 233 citations. Previous affiliations of Jianxin Dai include Nanjing University.
Papers
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Large-Scale Antenna Systems With UL/DL Hardware Mismatch: Achievable Rates Analysis and Calibration
TL;DR: The upper bounds on achievable rates of MF and RZF with 11M are investigated, which are related to the statistics of the circuit gains of the mismatched hardware.
Journal ArticleDOI
Widely Linear Precoding for Large-Scale MIMO with IQI: Algorithms and Performance Analysis
TL;DR: In this article, the authors adopt a real-valued signal model, which considers the IQI at the transmitter, and then develop widely linear precoding techniques to mitigate in-phase/quadrature-phase (IQ) imbalance (IQI) in the downlink of large-scale MIMO systems.
Posted Content
Widely-Linear Precoding for Large-Scale MIMO with IQI: Algorithms and Performance Analysis
TL;DR: Numerical results verify the analysis and show that the proposed widely linear type precoding methods significantly outperform their conventional counterparts with IQI and approach those with ideal IQ branches.
Journal ArticleDOI
Reconfigurable Intelligent Surface Aided Massive MIMO Systems With Low-Resolution DACs
TL;DR: In this paper, the authors investigate a reconfigurable intelligent surface (RIS)-aided multi-user massive MIMO system where low-resolution digital-analog converters (DACs) are configured at the base station (BS) in order to reduce the cost and power consumption.
Two-Timescale Transmission Design for RIS-Aided Cell-Free Massive MIMO Systems
TL;DR: This paper investigates the performance of two-timescale transmission design for uplink reconfigurable intelligent surface (RIS)-aided cell-free massive multiple-input multiple-output (CF-mMIMO) systems and theoretically analyzes the benefits of RISaidedcell-free mMIMO systems and draws explicit insights.