Aug 18, 2021 · We first design and implement a full-fledged evaluation platform named Arsenal, which incorporates multiple state-of-the-art congestion control algorithms.

To bridge the gap, in this work, we first design and implement a full-fledged evaluation platform named Arsenal, which incorporates multiple state-of-the-art ...

Arsenal: Understanding Learning-Based Wireless Video Transport via In-Depth Evaluation. IEEE Trans. Veh. Technol. Pub Date : 2021-08-18. DOI : 10.1109/tvt.

Arsenal: Understanding learning-based wireless video transport via in-depth evaluation. H Zhang, A Zhou, R Ma, J Lu, H Ma. IEEE Transactions on Vehicular ...

[TVT 2021] Arsenal: Understanding Learning-based Wireless Video Transport via In-depth Evaluation [PDF] Huanhuan Zhang, Anfu Zhou, Ruoxaun Ma, Jiamin Lu ...

Oct 25, 2021 · In this work, we propose Loki, which improves the robustness of learning-based model by coherently integrating it with a rule-based algorithm.

Jul 1, 2022 · Arsenal: Understanding Learning-based Wireless Video. Transport via In-depth Evaluation. IEEE Transactions on Vehicular. Technology 70, 10 ...

Nov 7, 2023 · We present OpenNetLab, an open platform for fast training, reproducible end-to-end evaluation, and performance validation of RL-based CC algorithms for RTC.

3 Credit Hours. The objective of this course is to develop an in-depth understanding of the design, implementation, and evaluation of modern parallel computers.

The study suggests the integration of AI-based sensor information fusion with comprehensive transportation data for deep supervised learning, aiming to ...