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Zhang Zufan

Researcher at Chongqing University

Publications -  23
Citations -  79

Zhang Zufan is an academic researcher from Chongqing University. The author has contributed to research in topics: MIMO & Precoding. The author has an hindex of 5, co-authored 23 publications receiving 78 citations. Previous affiliations of Zhang Zufan include Chongqing University of Posts and Telecommunications & Electric Power Research Institute.

Papers
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Patent

Pilot frequency pollution reduction method based on partial pilot frequency multiplexing in large-scale MIMO system

TL;DR: In this article, the authors proposed a pilot frequency pollution reduction method based on partial pilot frequency multiplexing in a large-scale MIMO system, and belongs to the field of communications.
Patent

Codebook construction method based of 3D (three dimensional) cross polarization channel based massive multiple input multiple output (MIMO) system

TL;DR: In this paper, a codebook construction method suitable for an MU (multi-user) massive multiple input multiple output (MIMO) system and belongs to the technical field of wireless communication is presented.
Journal ArticleDOI

Analysis and Properties of Time-Varying Modified DFT Filter Banks

TL;DR: This work gives the description of the time-invariant MDFT filter bank including its perfect reconstruction (PR) condition, its mechanism of aliasing error cancellation and the relationship with the cosine-modulated filter bank in detail.
Patent

Large-scale MIMO system limiting feedback method based on compressive sensing

TL;DR: In this paper, a large-scale MIMO system limiting feedback method based on compressive sensing was proposed, where an Nh*Nv-dimensional uniform planar array (UPA) was adopted at a base station, and a linear array was used at a user terminal.
Patent

Two-dimensional interpolation limited feedback method based on channel prediction in LTE system

TL;DR: In this paper, a two-dimensional interpolation limited feedback method was proposed for an LTE (Long Term Evolution) system, and the method consisted the following steps of: estimating a channel matrix corresponding to current data frames by a receiving terminal according to pilot frequency information, and obtaining a channel prediction matrix through predicting a channel corresponding to subsequent data frames; forming feedback data blocks by carrying out block processing according to subcarriers on the basis of the channel matrix; selecting optimal code words corresponding to four vertex positions of each feedback data block, and calculating optical rotational vectors corresponding to the feedback data