A Data Driven Framework for QoE-Aware Intelligent EN-DC Activation
In emerging 5G networks, User Equipment camps traditionally on 4G network. Later, if the
user requests a 5G service, it can simultaneously camp on 4G and 5G using EUTRAN New …
user requests a 5G service, it can simultaneously camp on 4G and 5G using EUTRAN New …
AI-assisted RLF avoidance for smart EN-DC activation
SMA Zaidi, M Manalastas… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
In the first phase of 5G network deployment, User Equipment (UE) will camp traditionally on
LTE network. Later on, if the UE requests a 5G service, it will be made to camp …
LTE network. Later on, if the UE requests a 5G service, it will be made to camp …
Self-Attention-Based Uplink Radio Resource Prediction in 5G Dual Connectivity
Mobile communication technology is evolving rapidly and becoming increasingly ubiquitous,
thereby increasing the demand for uplink data-intensive applications (eg, personal …
thereby increasing the demand for uplink data-intensive applications (eg, personal …
Optimizing Multi-Tier Cellular Networks With Deep Learning for 6G Consumer Electronics Communications
The imminent arrival of 6th Generation (6G) consumer electronics wireless networks heralds
a paradigm shift in communication necessitated by diverse quality-of-service (QoS) …
a paradigm shift in communication necessitated by diverse quality-of-service (QoS) …
QoS evaluation and prediction for C-V2X communication in commercially-deployed LTE and mobile edge networks
L Torres-Figueroa, HF Schepker… - 2020 IEEE 91st Vehicular …, 2020 - ieeexplore.ieee.org
Cellular vehicle-to-everything (C-V2X) communication is a key enabler for future cooperative
automated driving and safety-related applications. The requirements they demand in terms …
automated driving and safety-related applications. The requirements they demand in terms …
On using deep reinforcement learning to dynamically derive 5G new radio TDD pattern
The deployment of 5G and 6G is highly motivated by the emerging network services that
demand more band-width and very low latency. Besides, these services are shifting from …
demand more band-width and very low latency. Besides, these services are shifting from …
Reinforcement learning based energy-efficient component carrier activation-deactivation in 5G
Carrier aggregation (CA) is considered a key enabler technology for delivering higher rates
to users of LTE and 5G networks. However, the increased transmission rate comes with the …
to users of LTE and 5G networks. However, the increased transmission rate comes with the …
DeTrAP: A Novel AI/ML V2X 5G NR Adaptive Physical Layer Configuration
S Kallel, N Aitsaadi - GLOBECOM 2023-2023 IEEE Global …, 2023 - ieeexplore.ieee.org
The 5G cellular network provides vital support for enabling fast and dependable
communication in dynamic environments, which is crucial for connected autonomous …
communication in dynamic environments, which is crucial for connected autonomous …
Deep reinforcement learning aided cell outage compensation framework in 5G cloud radio access networks
As one of the key technologies of 5G, Cloud Radio Access Networks (C-RAN) with cloud
BBUs (Base Band Units) pool architecture and distributed RRHs (Remote Radio Heads) can …
BBUs (Base Band Units) pool architecture and distributed RRHs (Remote Radio Heads) can …
Federated reinforcement learning-based resource allocation in D2D-enabled 6G
The current 5G and conceived 6G era with ultra-high density, ultra-high frequency
bandwidth, and ultra-low latency can support emerging applications like Extended Reality …
bandwidth, and ultra-low latency can support emerging applications like Extended Reality …