Experimental Evaluation of Multiple Multipath Schedulers over Various Urban Mobile Environments

Author:

Diakhate Papa Bara1ORCID,Chu Tran-Tuan1ORCID,Labiod Mohamed Aymen1ORCID,Augustin Brice1ORCID,Tran Hai-Anh2ORCID,Mellouk Abdelhamid1ORCID

Affiliation:

1. University of Paris-Est Creteil, LISSI, TincNET (CIR), F-94400, Vitry-sur-Seine, UNIVERSITE PARIS EST CRETEIL, France

2. University of Paris-Est Creteil, LISSI, TincNET (CIR), F-94400, Vitry-sur-Seine, SOICT, Hanoi University of Science and Technology, Hanoi, Viet Nam

Publisher

ACM

Reference22 articles.

1. 3 GPP. 03.2020. 23.501 : System Architecture for the 5G System v16.4 . Retrieved September 14, 2022 from https://portal.3gpp.org/desktopmodules/Specifications/SpecificationDetails.aspx?specificationId=3144 3GPP. 03.2020. 23.501: System Architecture for the 5G System v16.4. Retrieved September 14, 2022 from https://portal.3gpp.org/desktopmodules/Specifications/SpecificationDetails.aspx?specificationId=3144

2. ZQTRTT

3. A path characteristics based adaptive subflow switching algorithm for dynamic heterogeneous MPTCP network

4. Tran-Tuan Chu , Mohamed Aymen Labiod , Hai-Anh Tran , and Abdelhamid Mellouk . 2022 . GADaM: Generic Adaptive Deep-learning-based Multipath Scheduler Selector for Dynamic Heterogeneous Environment. In ICC 2022-IEEE International Conference on Communications. IEEE, 4908–4913 . Tran-Tuan Chu, Mohamed Aymen Labiod, Hai-Anh Tran, and Abdelhamid Mellouk. 2022. GADaM: Generic Adaptive Deep-learning-based Multipath Scheduler Selector for Dynamic Heterogeneous Environment. In ICC 2022-IEEE International Conference on Communications. IEEE, 4908–4913.

5. Performance analysis of handover management in 5G small cells

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