L
Lin Chen
Researcher at Sun Yat-sen University
Publications - 249
Citations - 4037
Lin Chen is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Cognitive radio & Game theory. The author has an hindex of 30, co-authored 229 publications receiving 3228 citations. Previous affiliations of Lin Chen include University of Paris-Sud & University of California, Berkeley.
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Journal ArticleDOI
Routing Metrics of Cognitive Radio Networks: A Survey
TL;DR: This paper surveys the state-of-the-art routing metrics for cognitive radio networks and provides a taxonomy of the different metrics and a survey of the way they have been used in different routing protocols.
Journal ArticleDOI
Accurate Location Tracking From CSI-Based Passive Device-Free Probabilistic Fingerprinting
TL;DR: An accurate device-free passive (DfP) indoor location tracking system that adopts channel state information (CSI) readings from off-the-shelf WiFi 802.11n wireless cards and demonstrates that this complex channel information enables more accurate localization of nonequipped individuals.
Proceedings ArticleDOI
An Auction Framework for Spectrum Allocation with Interference Constraint in Cognitive Radio Networks
TL;DR: This paper proposes an auction framework for cognitive radio networks to allow unlicensed secondary users (SUs) to share the available spectrum of licensed primary users (PUs) fairly and efficiently, subject to the interference temperature constraint at each PU.
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Curcumin Attenuates Urinary Excretion of Albumin in Type II Diabetic Patients with Enhancing Nuclear Factor Erythroid-Derived 2-Like 2 (Nrf2) System and Repressing Inflammatory Signaling Efficacies
TL;DR: Short-term curcumin intervention ablates DKD progress with activating Nrf2 anti-oxidative system and anti-inflammatory efficacies in patients with T2DM.
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Energy-Efficiency Maximization for Cooperative Spectrum Sensing in Cognitive Sensor Networks
TL;DR: This paper considers the case where the cognitive sensors cooperatively sense a licensed channel by using the CoMAC-based cooperative spectrum sensing (CSS) scheme to determine the presence of primary users and formulate an EE-maximization problem for CSS in CSNs subject to the constraint on the detection performance.