Assessment of the effects of 5G MEC cache on DASH adaptation algorithms-Reference-Cited by-同舟云学术

Assessment of the effects of 5G MEC cache on DASH adaptation algorithms

Published:2022-06-15 Issue: Volume: Page:
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Container-title:2022 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)
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Author:

Viola Roberto¹,Amendola Danilo¹,Fernandez Zaloa¹,Gabilondo Alvaro¹,Zorrilla Mikel¹,Angueira Pablo²,Casals Mikel³,Montalban Jon⁴

Affiliation:

1. Vicomtech Foundation Basque Research and Technology Alliance,San Sebastián,Spain,20009

2. University of the Basque Country,Department of Communications Engineering,Bilbao,Spain,48013

3. Tecnun Universidad de Navarra,San Sebastián,Spain,20018

4. University of the Basque Country,Department of Electronic Technology,Bilbao,Spain,48013

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9828467/9828470/09828651.pdf?arnumber=9828651

Reference26 articles.

1. Qoe-based low-delay live streaming using throughput predictions;miller;ACM Transactions on Multimedia Computing Communications and Applications (TOMM),2016

2. A buffer-based approach to rate adaptation

3. Modelling Video Rate Evolution in Adaptive Bitrate Selection

4. ARBITER+: Adaptive Rate-Based InTElligent HTTP StReaming Algorithm for Mobile Networks

5. ELASTIC: A Client-Side Controller for Dynamic Adaptive Streaming over HTTP (DASH)

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1. Standardization Aspects of Caching and Coded Delivery in MEC Integrated 5G System;2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS);2024-01-03

2. Context-Aware Adaptive Prefetching for DASH Streaming over 5G Networks;2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB);2023-06-14