An in-depth study of uplink performance of 5G mmWave networks

Author:

Ghoshal Moinak1,Kong Z. Jonny2,Xu Qiang2,Lu Zixiao1,Aggarwal Shivang1,Khan Imran1,Li Yuanjie3,Hu Y. Charlie2,Koutsonikolas Dimitrios1

Affiliation:

1. Northeastern University

2. Purdue University

3. Tsinghua University, China

Funder

NSF

National Key Research and Development Plan of China

National Natural Science Foundation of China

Publisher

ACM

Reference36 articles.

1. 2021. O-RAN Alliance: Operator Defined Open and Intelligent Radio Access Networks. https://https://www.o-ran.org/. 2021. O-RAN Alliance: Operator Defined Open and Intelligent Radio Access Networks. https://https://www.o-ran.org/.

2. 2022. Dataset: An In-Depth Study of Uplink Performance of 5G mmWave Networks. https://github.com/NUWiNS/sigcomm-5gmemu-5g-mmWave-uplink-data.git. 2022. Dataset: An In-Depth Study of Uplink Performance of 5G mmWave Networks. https://github.com/NUWiNS/sigcomm-5gmemu-5g-mmWave-uplink-data.git.

3. Online. AWS Wavelength - Deliver ultra-low latency applications for 5G devices. https://aws.amazon.com/wavelength/ Online. AWS Wavelength - Deliver ultra-low latency applications for 5G devices. https://aws.amazon.com/wavelength/

4. Online. nuttcp - Network Performance Measurement Tool. https://www.nuttcp.net Online. nuttcp - Network Performance Measurement Tool. https://www.nuttcp.net

5. 3GPP. 2019. TR 38.824: Study on Physical Layer Enhancements for NR Ultra-Reliable and Low Latency Case (URLLC). 3GPP. 2019. TR 38.824: Study on Physical Layer Enhancements for NR Ultra-Reliable and Low Latency Case (URLLC).

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