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Chenyang Yang
Researcher at Beihang University
Publications - 376
Citations - 9729
Chenyang Yang is an academic researcher from Beihang University. The author has contributed to research in topics: Communication channel & Telecommunications link. The author has an hindex of 40, co-authored 362 publications receiving 8065 citations. Previous affiliations of Chenyang Yang include Princeton University & Bournemouth University.
Papers
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OFDM and Its Wireless Applications: A Survey
TL;DR: This paper addresses basic OFDM and related modulations, as well as techniques to improve the performance of OFDM for wireless communications, including channel estimation and signal detection, time- and frequency-offset estimation and correction, peak-to-average power ratio reduction, and multiple-input-multiple-output (MIMO) techniques.
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Energy-efficient wireless communications: tutorial, survey, and open issues
TL;DR: Basic concepts of energy-efficient communications are first introduced and then existing fundamental works and advanced techniques for energy efficiency are summarized, including information-theoretic analysis, OFDMA networks, MIMO techniques, relay transmission, and resource allocation for signaling.
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A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead
TL;DR: This survey provides an overview of energy-efficient wireless communications, reviews seminal and recent contribution to the state-of-the-art, including the papers published in this special issue, and discusses the most relevant research challenges to be addressed in the future.
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Caching at the wireless edge: design aspects, challenges, and future directions
TL;DR: Methods to predict the popularity distributions and user preferences, and the impact of erroneous information are introduced, as well as the key differences between wired and wireless caching.
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Radio Resource Management for Ultra-Reliable and Low-Latency Communications
TL;DR: The delay and packet loss components in UR LLC and the network availability for supporting the quality of service of users are discussed and tools for resource optimization in URLLC are presented.