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Jiandong Li

Researcher at Xidian University

Publications -  670
Citations -  9377

Jiandong Li is an academic researcher from Xidian University. The author has contributed to research in topics: Wireless network & MIMO. The author has an hindex of 37, co-authored 620 publications receiving 6970 citations. Previous affiliations of Jiandong Li include Cornell University & Nanjing University of Information Science and Technology.

Papers
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Journal ArticleDOI

Advanced spectrum sharing in 5G cognitive heterogeneous networks

TL;DR: Cognitive and cooperative spectrum sharing is surveyed, and a multi-level spectrum exploitation, coordination, and utilization framework is classified from both technical and economic perspectives, which improves both spectral and energy efficiency.
Journal ArticleDOI

CAS FGOALS-f3-L Model Datasets for CMIP6 Historical Atmospheric Model Intercomparison Project Simulation

TL;DR: In this article, the performance of the Chinese Academy of Sciences (CAS) Flexible Global Ocean-Atmosphere-Land System (FGOALS-f3-L) model for the baseline experiment of the Atmospheric Model Intercomparison Project simulation in the Diagnostic, Evaluation and Characterization of Klima common experiments of phase 6 of the Coupled model intercomparisons Project (CMIP6) is described.
Proceedings ArticleDOI

Performance evaluation of modified IEEE 802.11 MAC for multi-channel multi-hop ad hoc network

TL;DR: The IEEE 802.11 multiple access control protocol was modified for use in multi-channel, multi-hop ad hoc network, through the use of a new channel-status indicator, and a number of throughput scaling laws are proposed.
Journal ArticleDOI

Severe particulate pollution days in China during 2013–2018 and the associated typical weather patterns in Beijing-Tianjin-Hebei and the Yangtze River Delta regions

TL;DR: Emission control measures can be applied once the dominant circulation patterns have been predicted, and the most dominant weather type for BTH was also responsible for most of the SPPDs in the YRD, which have important implications for emission control strategies.
Journal ArticleDOI

Interference-Aware Energy Efficiency Maximization in 5G Ultra-Dense Networks

TL;DR: This paper characterize the cooperative behaviors in the Nash bargaining cooperative game-theoretic framework, and proposes a CE2MG algorithm that achieves the closed-form sub-optimal SE equilibria to maximize the EE performance with and without the minimum SE constraints.