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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Journal ArticleDOI
Broadcast scheduling with MIMO links in multi-hop ad hoc networks
TL;DR: The proposed broadcast scheduling algorithm increases the simultaneous transmissions of MIMO links efficiently and can greatly improve network capacity and decrease average packet delay.
Journal ArticleDOI
Low T3 syndrome as a predictor of poor outcomes in patients with follicular lymphoma
Lianguo Xue,Hao Shen,Rui Gao,Kaixin Du,Tong Xing,Weiting Wang,Li Wang,Jiandong Li,Jin-Hua Liang,Wei Xu +9 more
TL;DR: In this paper , the authors investigated the prognostic value of low T3 syndrome in follicular lymphoma (FL) patients with detailed serum thyroid hormone levels and other complete clinical data were enrolled and performed univariate and multivariate regression analyses to determine independent risk factors for progression-free survival and overall survival.
Posted Content
Distributed Interference Alignment with Low Overhead
Yanjun Ma,Jiandong Li,Rui Chen +2 more
TL;DR: Simulation results show that the IIA algorithm is strictly suboptimal compared with the LOIA algorithm in the overhead-limited scenario, and extension to multiple antenna scenario is also considered.
Proceedings ArticleDOI
A novel QoS-supported MAC protocol for wireless network with smart antennas
TL;DR: Simulation results show that the proposed protocol can support the application of smart antennas effectively and provide high channel utilization and QoS for voice and data traffics.
Journal ArticleDOI
High-performance detection algorithm for MIMO-OFDM in doubly selective channels
TL;DR: An iterative soft interference cancellation based quasi-a posteriori probability (ISIC quasi-APP) detector which has a low complexity and significantly outperforms the conventional ISIC based minimum mean square filtering (ISic MMSE) detector.