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Zhongjiang Yan

Researcher at Northwestern Polytechnical University

Publications -  172
Citations -  910

Zhongjiang Yan is an academic researcher from Northwestern Polytechnical University. The author has contributed to research in topics: Throughput & Wi-Fi. The author has an hindex of 13, co-authored 149 publications receiving 683 citations. Previous affiliations of Zhongjiang Yan include Xidian University.

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Proceedings ArticleDOI

Integrated Link-System Level Simulation Platform for the Next Generation WLAN - IEEE 802.11ax

TL;DR: This paper design and further implement the integrated link-system level simulation platform, which makes it possible to evaluate the new technologies for IEEE 802.11ax and proposes a MAC protocol combining OFDMA, MU-MIMO, non-continuous channel bonding and link adaptation and further evaluates its performance.
Proceedings ArticleDOI

A 3D geometry-based stochastic model for 5G massive MIMO channels

TL;DR: In this paper, a three-dimensional (3D) two-cylinder regular-shaped geometry-based stochastic model (GBSM) for non-isotropic scattering massive MIMO channels is proposed.
Proceedings ArticleDOI

MU-FuPlex: A Multiuser Full-Duplex MAC Protocol for the Next Generation Wireless Networks

TL;DR: A multiuser FD MAC protocol named as MU-FuPlex is introduced based on the proposed system model, and the interference information collection, FD transmit opportunity (FD-TXOP) mechanism, and frame format design for MU- FuPlex are discussed.
Journal ArticleDOI

A Channel Bonding Based QoS-Aware OFDMA MAC Protocol for the Next Generation WLAN

TL;DR: A Channel Bonding based QoS-aware Orthogonal Frequency Division Multiple Access (OFDMA) MAC protocol (CBQO) is proposed in this paper, which outperforms the IEEE 802.11ac MAC protocol in terms of both throughput and delay of video traffic.
Journal ArticleDOI

Efficient Data Traffic Forwarding for Infrastructure-to-Infrastructure Communications in VANETs

TL;DR: This paper derives an optimal decision strategy of the remote RSU, which is shown to have a conditional pure-threshold structure, and provides a method that can theoretically derive the threshold.