A survey on machine learning-based performance improvement of wireless networks: PHY, MAC and network layer
This paper presents a systematic and comprehensive survey that reviews the latest research
efforts focused on machine learning (ML) based performance improvement of wireless …
efforts focused on machine learning (ML) based performance improvement of wireless …
A survey of machine learning techniques for video quality prediction from quality of delivery metrics
A growing number of video streaming networks are incorporating machine learning (ML)
applications. The growth of video streaming services places enormous pressure on network …
applications. The growth of video streaming services places enormous pressure on network …
Throughput prediction using machine learning in LTE and 5G networks
The emergence of novel cellular network technologies, within 5G, are envisioned as key
enablers of a new set of use-cases, including industrial automation, intelligent …
enablers of a new set of use-cases, including industrial automation, intelligent …
IoT traffic sha** and the massive access problem
E Gelenbe, K Sigman - ICC 2022-IEEE International …, 2022 - ieeexplore.ieee.org
IoT gateways aim to meet the deadlines and QoS needs of packets from as many IoT
devices as possible, though this can lead to a form of congestion known as the Massive …
devices as possible, though this can lead to a form of congestion known as the Massive …
Bayesian online learning for energy-aware resource orchestration in virtualized RANs
Radio Access Network Virtualization (vRAN) will spearhead the quest towards supple radio
stacks that adapt to heterogeneous infrastructure: from energy-constrained platforms …
stacks that adapt to heterogeneous infrastructure: from energy-constrained platforms …
EdgeBOL: Automating energy-savings for mobile edge AI
Supporting Edge AI services is one of the most exciting features of future mobile networks.
These services involve the collection and processing of voluminous data streams, right at …
These services involve the collection and processing of voluminous data streams, right at …
Machine learning-enabled data rate prediction for 5G NSA vehicle-to-cloud communications
In order to satisfy the ever-growing Quality of Service (QoS) requirements of innovative
services, cellular communication networks are constantly evolving. Recently, the 5G Non …
services, cellular communication networks are constantly evolving. Recently, the 5G Non …