Anh T. Pham
University of Aizu
228 Papers
880 Citations
Anh T. Pham is an academic researcher from University of Aizu. The author has contributed to research in topics: Computer science & Visible light communication. The author has an hindex of 21, co-authored 214 publications. Previous affiliations of Anh T. Pham include Saitama University & National Institute of Information and Communications Technology.
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Papers
Multi-User Visible Light Communication Broadcast Channels With Zero-Forcing Precoding
TL;DR: Lower and upper bounds on the capacity of an amplitude-constrained Gaussian channel are investigated, which are especially tight in the high signal-to-noise regime and optimal beamformer designs for the max-min fairness sum-rate and the maximum sum- rate problems are formulated as convex optimization problems, which can be efficiently solved by using standard optimization packages.
An Optimal Tile-Based Approach for Viewport-Adaptive 360-Degree Video Streaming
TL;DR: The proposed approach is able to systematically decide versions of tiles according to user head movements and network conditions by taking into account not only viewport estimation errors, but also users head movements in each segment duration.
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Bit error rate analysis of rectangular QAM/FSO systems using an APD receiver over atmospheric turbulence channels
TL;DR: In this paper, the performance of free-space optical (FSO) systems using rectangular quadrature-amplitude modulation (QAM) and an avalanche photodiode (APD) receiver over atmospheric turbulence channels was theoretically analyzed.
Effect of avalanche photodiode and thermal noises on the performance of binary phase-shift keying- subcarrier-intensity modulation/free-space optical systems over turbulence channels
TL;DR: It is seen that, although the impact of turbulence is severe, a proper selection of APD average gain could significantly improve the system performance in both cases of turbulence channels.
Adaptive video streaming over HTTP with dynamic resource estimation
TL;DR: A new and general formulation for throughput estimation is presented taking into account previous values of instant throughput and round trip time and the use of bitrate estimation in HTTP streaming is introduced for the first time.