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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Proceedings ArticleDOI
Adaptive and Cooperative Resource Scheduling for Satellite-Terrestrial Networks
TL;DR: In this paper , a Deep Reinforcement Learning (DRL) based Cooperative Store-and-Relay Resource Scheduling Algorithm (CSR-RSA) is proposed, where inter-satellite links are utilized to coordinate with intermittent satellite-ground links for improving the transmission performance of the network.
Patent
Orthogonal frequency division multiple access based uplink access method
Jiandong Li,Hongyan Li,Shun Zhang,Zheng Ting,Ronghui Hou,Xie Zhicong,Pengyu Huang,Yinghong Ma,Min Sheng,Yan Zhang,Qin Liu +10 more
TL;DR: In this article, an uplink access method based on an orthogonal frequency division multiple access (OFDMA) mechanism is proposed to reduce the average time taken by users to access channels, thereby reducing the transmission delay of data packet and improving the throughput of the entire network.
Journal ArticleDOI
Comparison of haploidentical–allogeneic hematopoietic stem cell transplantation and intensive immunosuppressive therapy for patients with severe aplastic anemia with an absolute neutrophil count of zero: a retrospective study
Liqiang Wu,Li-Fang Huang,Hui Yang,Baodong Ye,Qinghong Yu,Yan Yang,Jinsong Jia,Dong-Hua Zhang,Shengyun Lin,Guangsheng He,Jiandong Li +10 more
Proceedings ArticleDOI
Improving Throughput Using MIMO-Based Routing Protocol with Multi-Links and Antenna-Selection
TL;DR: Through the detailed analysis and simulation results, it is proved that MISR protocol would have a distinct capability to handle the heavy business load, and greatly contribute to the aggregate throughput and end-to-end delay in Ad Hoc networks.
Proceedings ArticleDOI
ML-based estimator for integer frequency offset estimation of OFDM systems
TL;DR: A novel estimator for integer frequency offset estimation of OFDM systems is derived, which is based on the maximum likelihood (ML) technique and exploits the differential information between two consecutive blocks of OfDM data symbols in the frequency domain.