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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.

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A Survey of Game Theory in Unmanned Aerial Vehicles Communications

TL;DR: This paper aims to provide readers with an understanding of UAV-aided networks in terms of their architecture, benefits, challenges, and various game theoretical solutions applied to these communications networks.
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Energy Efficient Beamforming in MISO Heterogeneous Cellular Networks With Wireless Information and Power Transfer

TL;DR: This work considers a multiple-input single-output (MISO) femtocell cochannel overlaid with a Macrocell to exploit the advantages of SWIPT while promoting the EE, and devise two beamformers namely zero-forcing (ZF) and mixed beamforming (MBF), and proposes an efficient algorithm to obtain the optimal power under both beamformer.
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LEO-Satellite-Assisted UAV: Joint Trajectory and Data Collection for Internet of Remote Things in 6G Aerial Access Networks

TL;DR: This article considers the LEO satellite-assisted UAV data collection for the IoRT sensors and presents a heuristic algorithm for the subproblem to further reduce the complexity of large-scale networks.
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Global energy and water balance: Characteristics from Finite‐volume Atmospheric Model of the IAP/LASG (FAMIL1)

TL;DR: In this article, the authors describe the dynamical core and physical parameterizations of FAMIL1 and compare the simulated characteristics of energy and water balances and compare them with observational/reanalysis data, concluding that the model simulates well the seasonal and geographical distributions of radiative fluxes at the top of the atmosphere and at the surface.
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Multi-Resource Coordinate Scheduling for Earth Observation in Space Information Networks

TL;DR: This paper characterize the relationship among multi-resource using an event-driven time-expanded graph (EDTEG) and decompose the problem into separate observation scheduling and transmission scheduling sub-problems, which can be efficiently solved by extended transmission time sharing graph and directed acyclic graph methods.