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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.

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On Feasibility of Interference Alignment in Full-Duplex-Based Small Cell Networks

TL;DR: It is found that the IA performance with FD is limited by the number of antennas at users, and it is verified that IA with opportunistic FD can be implemented to achieve higher total DoFs of the network.
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Optimal Balancing between Efficiency and Fairness for Resource Management in Cognitive Radio Networks: A Dynamic Game-Theoretic Approach

TL;DR: A two-step resource management scheme is investigated in the cognitive radio networks context, where the initial allocation focuses on the personal efficiency and the second adjustment focus on the social fairness and the overall performance.
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On the Feasibility of Interference Alignment With Finite Channel Extensions for MIMO Interference Broadcast Channels With Common Messages

TL;DR: This paper analyzes the feasibility of interference alignment schemes with finite channel extensions for multi-input–multi-output (MIMO) interference broadcast channel (IBC) with common messages, where each base station transmits one common single data stream to all users within its cell.
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On Stability Region of Two-User Interference Network With Permission to Utilize Past Receptions

TL;DR: This paper derives the capacity outer bound of the two-user interference network with the past reception-based physical layer model, and examines its linear network coding (LNC) capacity, exploiting a linear-space-based approach which unifies the problem of finding a capacity outer Bound and devising the achievability scheme into a single linear programming problem.
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Joint Scheduling of Observation and Transmission in Earth Observation Satellite Networks

TL;DR: This paper investigates the multi-dimensional resource scheduling problem in EOSNs to ensure that each EOS can observe an appropriate subset of targets with matched downloading capacity to the destination, and formulated and proved to be NP-hard.