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
Interference Mitigation for Femtocell Networks Via Adaptive Frequency Reuse
Guogang Huang,Jiandong Li +1 more
TL;DR: The proposed adaptive frequency reuse (AFR) scheme involves two algorithms, namely, primary subchannel self-configuration (PSC-SC) and interference-aware resource allocation, that served as ICIC and intracell resource allocation.
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On Feasibility of Interference Alignment for L-Cell Constant Cellular Interfering Networks
TL;DR: Although the DoF outer bound cannot be reached, more DoF can be obtained compared with orthogonal schemes.
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Up to 8-year follow-up from RESONATE-2: first-line ibrutinib treatment for patients with chronic lymphocytic leukemia
Paul M. Barr,Carolyn Owen,Tadeusz Robak,Alessandra Tedeschi,Osnat Bairey,Jan A. Burger,Peter Hillmen,Steven Coutre,Claire Dearden,Sebastian Grosicki,Helen McCarthy,Jiandong Li,Fritz Offner,Carol Moreno,Cathy Zhou,Emily Hsu,Anita Szoke,Thomas J. Kipps,Paolo Ghia +18 more
TL;DR: Long-term RESONATE-2 data show sustained PFS and OS benefits (medians not reached) for first-line ibrutinib treatment in patients with CLL.
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Collaborative Data Scheduling With Joint Forward and Backward Induction in Small Satellite Networks
TL;DR: This paper extends the traditional dynamic programming algorithms and proposes a finite-embedded-infinite two-level dynamic programming framework for optimal data scheduling under a stochastic data arrival SSN environment with joint consideration of contact selection, battery management, and buffer management while taking into account the impact of current decisions on the infinite future.
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Rate and Energy Maximization in SCMA Networks With Wireless Information and Power Transfer
TL;DR: This letter analyzes the special structure of the problem and exploits it to obtain the optimal power splitting ratio and resource allocation strategy when one of them is fixed and results indicate that the algorithm achieves a better rate-energy tradeoff compared to other schemes.