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Xin Kang
Researcher at University of Electronic Science and Technology of China
Publications - 84
Citations - 3892
Xin Kang is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Cognitive radio & Transmitter power output. The author has an hindex of 24, co-authored 83 publications receiving 3465 citations. Previous affiliations of Xin Kang include Huawei & National University of Singapore.
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Journal ArticleDOI
Optimal power allocation for fading channels in cognitive radio networks: Ergodic capacity and outage capacity
TL;DR: It is shown that there is a capacity gain for SU under the average over the peak transmit/interference power constraint and that fading for the channel between SU transmitter and PU receiver is usually a beneficial factor for enhancing the SU channel capacities.
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Price-Based Resource Allocation for Spectrum-Sharing Femtocell Networks: A Stackelberg Game Approach
Xin Kang,Rui Zhang,Mehul Motani +2 more
TL;DR: This paper investigates price-based resource allocation strategies for the uplink transmission of a spectrum-sharing femtocell network, in which a central macrocell is underlaid with distributed femtocells, all operating over the same frequency band as the macrocell.
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Sensing-Based Spectrum Sharing in Cognitive Radio Networks
TL;DR: It is shown that the SU can achieve a significant capacity gain under the proposed model, compared with that under the opportunistic spectrum access or the conventional spectrum sharing model.
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Full-Duplex Wireless-Powered Communication Network With Energy Causality
Xin Kang,Chin Keong Ho,Sumei Sun +2 more
TL;DR: In this paper, a wireless communication network with a full-duplex hybrid energy and information access point and a set of wireless users with energy harvesting capabilities is considered, where the causal dependence of each user's harvesting time on the transmission time of earlier users is modeled by assuming that energy harvested in the future cannot be used for the current transmission.
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Optimal Power Allocation Strategies for Fading Cognitive Radio Channels with Primary User Outage Constraint
TL;DR: It is shown by simulations that the derived new power allocation strategies can achieve substantial capacity gains for the secondary user over the conventional methods based on the interference temperature (IT) constraint, with the same resultant primary user outage probability.