L
Lingyang Song
Researcher at Peking University
Publications - 630
Citations - 21503
Lingyang Song is an academic researcher from Peking University. The author has contributed to research in topics: Resource allocation & Relay. The author has an hindex of 70, co-authored 583 publications receiving 15970 citations. Previous affiliations of Lingyang Song include Philips & University of Tennessee.
Papers
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Journal ArticleDOI
Reconfigurable Intelligent Surfaces for Wireless Communications: Principles, Challenges, and Opportunities
Mohamed A. ElMossallamy,Hongliang Zhang,Lingyang Song,Karim G. Seddik,Zhu Han,Geoffrey Ye Li +5 more
TL;DR: This article describes the working principles of reconfigurable intelligent surfaces (RIS) and elaborate on different candidate implementations using metasurfaces and reflectarrays, and discusses the channel models suitable for both implementations and the feasibility of obtaining accurate channel estimates.
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Efficiency Resource Allocation for Device-to-Device Underlay Communication Systems: A Reverse Iterative Combinatorial Auction Based Approach
TL;DR: This work introduces a reverse iterative combinatorial auction as the allocation mechanism for mobile peer-to-peer communication, and proves that the proposed auction-based scheme is cheat-proof, and converges in a finite number of iteration rounds.
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Hybrid Beamforming for Reconfigurable Intelligent Surface based Multi-User Communications: Achievable Rates With Limited Discrete Phase Shifts
TL;DR: Both theoretical analysis and numerical validations show that the RIS-based system can achieve good sum-rate performance by setting a reasonable size of the RIS and a small number of discrete phase shifts.
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Joint Trajectory and Power Optimization for UAV Relay Networks
TL;DR: A closed-form low-complexity solution with joint trajectory design and power control is proposed to solve the outage probability of an unmanned aerial vehicle (UAV) relay network, where the UAV works as an amplify-and-forward relay.
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Game-theoretic resource allocation methods for device-to-device communication
TL;DR: In this paper, the authors demonstrate the applications of game-theoretic models to study the radio resource allocation issues in D2D communication, and outline several key open research directions.