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Yan Sun
Researcher at University of Erlangen-Nuremberg
Publications - 46
Citations - 2524
Yan Sun is an academic researcher from University of Erlangen-Nuremberg. The author has contributed to research in topics: Resource allocation & Optimization problem. The author has an hindex of 19, co-authored 46 publications receiving 1793 citations. Previous affiliations of Yan Sun include University of New South Wales & Huawei.
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Optimal Joint Power and Subcarrier Allocation for Full-Duplex Multicarrier Non-Orthogonal Multiple Access Systems
TL;DR: In this article, the authors investigated resource allocation algorithm design for multicarrier non-orthogonal multiple access (MC-NOMA) systems employing a full-duplex (FD) base station for serving multiple HD downlink and uplink users simultaneously.
Journal ArticleDOI
Optimal 3D-Trajectory Design and Resource Allocation for Solar-Powered UAV Communication Systems
TL;DR: This paper investigates the resource allocation algorithm design for multicarrier solar-powered unmanned aerial vehicle (UAV) communication systems and proposes a low-complexity iterative suboptimal online scheme based on the successive convex approximation.
Posted Content
Optimal 3D-Trajectory Design and Resource Allocation for Solar-Powered UAV Communication Systems
TL;DR: In this paper, the authors investigated the resource allocation algorithm design for multicarrier solar-powered UAV communication systems, where the UAV is powered by solar energy enabling sustainable communication services to multiple ground users.
Journal ArticleDOI
Multi-Objective Optimization for Robust Power Efficient and Secure Full-Duplex Wireless Communication Systems
TL;DR: In this article, the authors investigated the power efficient resource allocation algorithm design for secure multiuser wireless communication systems employing a full-duplex (FD) base station (BS) for serving multiple half-dulex (HD) downlink (DL) and uplink (UL) users simultaneously.
Proceedings ArticleDOI
Resource Allocation for Secure IRS-Assisted Multiuser MISO Systems
TL;DR: In this paper, an efficient sub-optimal algorithm based on alternating optimization, successive convex approximation, semidefinite relaxation, and manifold optimization was proposed for secure communication in intelligent reflecting surface (IRS)-assisted multiuser multiple-input single-output (MISO) communication systems.