Work

On the Predictability of Fine-Grained Cellular Network Throughput Using Machine Learning Models

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS)

DOI: 10.1109/mass62177.2024.00018

Authors: Omar Basit, Phuc Dinh, Imran Khan, Z. Jonny Kong, Y. Charlie Hu, Dimitrios Koutsonikolas, Myungjin Lee, Chaoyue Liu

Institutions: Purdue University West Lafayette, Northeastern University, University of California San Diego

Language: English

Topic: Network Traffic and Congestion Control

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4403759311

FWCI: 4.428

Cites: 41

Cited by: 10

Related to: 10