Work

M&M: Machine-Learning Enhanced MPQUIC for Resilient Communication with mmWave Networks

Year: 2024

Type: conference-paper

Source: IEEE Military Communications Conference (MILCOM)

DOI: 10.1109/milcom61039.2024.10773824

Authors: Hongmiao Yu, Shaoyu Tu, K. K. Ramakrishnan, N. Abu-Ghazaleh, Xinyu Zhang, Ananthram Swami

Institutions: University of California, Riverside, University of California San Diego, DEVCOM Army Research Laboratory, United States Army Combat Capabilities Development Command

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: W4405103484

FWCI:

Cites: 12

Cited by:

Related to: 10