J
Jie Zeng
Researcher at Tsinghua University
Publications - 129
Citations - 1418
Jie Zeng is an academic researcher from Tsinghua University. The author has contributed to research in topics: Telecommunications link & Spectral efficiency. The author has an hindex of 15, co-authored 119 publications receiving 943 citations. Previous affiliations of Jie Zeng include Chongqing University of Posts and Telecommunications & Beijing University of Posts and Telecommunications.
Papers
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Journal ArticleDOI
Enabling Technologies for Ultra-Reliable and Low Latency Communications: From PHY and MAC Layer Perspectives
Gordon J. Sutton,Jie Zeng,Ren Ping Liu,Wei Ni,Diep N. Nguyen,Beeshanga Abewardana Jayawickrama,Xiaojing Huang,Mehran Abolhasan,Zhang Zhang,Eryk Dutkiewicz,Tiejun Lv +10 more
TL;DR: This paper evaluates the relevant PHY and MAC techniques for their ability to improve the reliability and reduce the latency and identifies that enabling long-term evolution to coexist in the unlicensed spectrum is also a potential enabler of URLLC in theUnlicensed band.
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Millimeter-Wave NOMA Transmission in Cellular M2M Communications for Internet of Things
TL;DR: In this paper, a new mmWave-NOMA transmission scheme for cellular machine-to-machine (M2M) communication systems for IoT applications is introduced, which is based upon the distance between the BS and the MTC devices aiming at reducing the system overall overhead for massive connectivity and latency.
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Investigation on Evolving Single-Carrier NOMA Into Multi-Carrier NOMA in 5G
TL;DR: This paper reveals that the NOMA techniques have evolved from single-carrier NomA (SC-NOMA) into multi- carrier NOMa (MC-N OMA), and comprehensively investigated on the basic principles, enabling schemes and evaluations of the two most promising MC-NomA techniques, namely sparse code multiple access (SCMA) and pattern division multiple access(PDMA).
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Enabling Ultrareliable and Low-Latency Communications Under Shadow Fading by Massive MU-MIMO
TL;DR: Numerical results verify that massive MU-MIMO can support a large number of UL URLLC users even when users are randomly deployed under shadow fading, and finite blocklength (FBL) information theory is utilized to derive the error probability of accessing users with a given latency.
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Downlink MIMO-NOMA for Ultra-Reliable Low-Latency Communications
TL;DR: A closed-form upper bound for the delay target violation probability in the downlink MIMO-NOMA is derived by applying stochastic network calculus to the Mellin transforms of service processes and it is proved that the infinite-length Mellin transform resulting from the non-negligible interferences of NOMA are Cauchy convergent and can be asymptotically approached by a finite truncated binomial series in the closed form.