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 …
Energy-Efficient Carrier Aggregation in 5G Using Constrained Multi-Agent MDP
Carrier Aggregation (CA) is a promising technology in LTE and 5G networks that enhances
the throughput of the users. However, since each User Equipment (UE) has to continuously …
the throughput of the users. However, since each User Equipment (UE) has to continuously …
QoS-aware joint component carrier selection and resource allocation for carrier aggregation in 5G
Carrier Aggregation (CA) has been a breakthrough in LTE that led to increased throughput
for users, and is still one of the key technologies in 5G that helps to enhance spectrum …
for users, and is still one of the key technologies in 5G that helps to enhance spectrum …
Delay-aware and energy-efficient carrier aggregation in 5G using double deep Q-networks
As one of the key technologies in 5G networks, Carrier Aggregation (CA) is studied in this
paper. In CA, Component Carriers (CCs) can be activated and deactivated depending on …
paper. In CA, Component Carriers (CCs) can be activated and deactivated depending on …
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-enabled energy-aware carrier aggregation in 5G new radio with dual connectivity
Aggregating multiple component carriers (CCs) from different frequency bands, also known
as Carrier Aggregation (CA), and Dual Connectivity (DC), ie, concurrently transmitting and …
as Carrier Aggregation (CA), and Dual Connectivity (DC), ie, concurrently transmitting and …
CSI classification for 5G via deep learning
A Vora, PX Thomas, R Chen… - 2019 IEEE 90th Vehicular …, 2019 - ieeexplore.ieee.org
5G communication requires continuous exchanges of channel state information (CSI)
between the base station and user equipment (UE) to adjust the physical layer parameters …
between the base station and user equipment (UE) to adjust the physical layer parameters …
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 …
Deep reinforcement learning for 5G radio access network slicing with spectrum coexistence
The paper presents a reinforcement learning solution to dynamic admission control and
resource allocation for 5G radio access network (RAN) slicing requests, when the spectrum …
resource allocation for 5G radio access network (RAN) slicing requests, when the spectrum …
Qcell: Self-optimization of softwarized 5g networks through deep q-learning
With the unprecedented rise in traffic demand and mobile subscribers, real-time fine-grained
optimization frame-works are crucial for the future of cellular networks. Indeed, rigid and …
optimization frame-works are crucial for the future of cellular networks. Indeed, rigid and …