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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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Relative degree adaptive flooding broadcast algorithm for ad hoc networks

TL;DR: This paper proposes the Relative Degree Adaptive flooding Broadcast (RDAB) algorithm for Ad hoc networks to efficiently reduce the broadcast overhead in the network and analyzes the reliability and the validity of the RDAB algorithm to prove that it is a valid flooding broadcast algorithm.
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Distributionally Robust Planning for Data Delivery in Distributed Satellite Cluster Network

TL;DR: The extensive simulations have been conducted to evaluate the impact of various network parameters on the algorithm performance and validate that the proposed DADR-TR algorithm can achieve high data delivery performance without full distribution information of the long-term data arrival.
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Dynamic Joint Resource Optimization for LTE-Advanced Relay Networks

TL;DR: A dynamic optimization algorithm is proposed for the joint allocation of subframes, resource blocks, and power in the Type 1 inband relaying scheme mandatory in the LTE-Advanced standard, and results demonstrate that the joint optimum can significantly outperform suboptimal alternatives.
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Intelligent User-Centric Network Selection: A Model-Driven Reinforcement Learning Framework

TL;DR: This paper proposes a model-driven framework with a joint off-line and on-line way, able to achieve fast and optimal network selection through an alliance of machine learning and game theory, and implements a distributed algorithm at the user side based on the proposed framework.
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Modeling East Asian Dust and Its Radiative Feedbacks in CAM4-BAM

TL;DR: In this article, the authors used the fourth version of the Community Atmosphere Model (CAM4) with a bulk aerosol model parameterization (BAM) for the dust size distribution, and two numerical experiments were conducted and compared: one with (Active) and one without (Passive) the radiative effects of dust aerosols.