J
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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Joint HAP Access and LEO Satellite Backhaul in 6G: Matching Game-Based Approaches
TL;DR: This work proposes a satellite-oriented restricted three-sided matching algorithm to deal with the matching among users, HAPs, and satellites, and presents a two-tier matching algorithm, composed of the Gale-Shapley-based matching algorithm between users and HAP's, and the random path to pairwise-stable matching algorithmbetween HAPS and satellites.
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Channel-Aware Mission Scheduling in Broadband Data Relay Satellite Networks
TL;DR: To achieve fair performance among user satellites, the minimum number of successfully scheduled missions over all user satellites is maximize by jointly optimizing contact plan design, power allocation in relay satellites, and mission schedules based on the time-expanded graph.
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Efficient Cooperative Spectrum Sensing with Minimum Overhead in Cognitive Radio
TL;DR: This letter derives theorems to reveal the optimum threshold of general DFR and proposes three novel DFRs and related three algorithms to efficiently obtain the optimum decision threshold for different objectives.
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Evaluation of FAMIL2 in Simulating the Climatology and Seasonal-to-Interannual Variability of Tropical Cyclone Characteristics
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A 2-D FFT-Based Transceiver Architecture for OAM-OFDM Systems With UCA Antennas
TL;DR: A transceiver architecture for broadband OAM orthogonal frequency-division multiplexing (OFDM) wireless communication systems is proposed, which uses baseband digital 2-D fast Fourier transform (FFT) rather than existing radio frequency analog phase shifters to generate and receive the OAM-OFDM signal, thus reducing energy consumption and hardware cost.