Federated Reinforcement Learning for Uplink Centric Broadband Communication Optimization over Unlicensed Spectrum
To provide Uplink Centric Broadband Communication (UCBC), New Radio Unlicensed (NR-
U) network has been standardized to exploit the unlicensed spectrum using Listen Before …
U) network has been standardized to exploit the unlicensed spectrum using Listen Before …
Mitigating Trade-Off in Unlicensed Network Optimization Through Machine Learning and Context Awareness
Unlicensed cellular networks are being deployed worldwide by cellular operators to meet
the rising data demands. However, the unlicensed band has existing incumbents such as Wi …
the rising data demands. However, the unlicensed band has existing incumbents such as Wi …
Deep q-learning enabled wireless resource allocation for 5g network based vehicle-to-vehicle communications
S Wang, X Chai, X Song, X Liang - 2021 IEEE 6th International …, 2021 - ieeexplore.ieee.org
Vehicle-to-vehicle (V2V) communication, a facilitator of intelligent transportation system
(ITS), requires effective cooperation among vehicles in vehicular environment. The major …
(ITS), requires effective cooperation among vehicles in vehicular environment. The major …
Learning based csi feedback prediction for 5g nr
Acquisition of accurate channel state information (CSI) is critical in multiple-input and
multiple-output (MIMO) systems to achieve efficient link adaptation. As CSI is typically …
multiple-output (MIMO) systems to achieve efficient link adaptation. As CSI is typically …
[PDF][PDF] Future Wireless Networks: Towards Learning-driven Sixth-generation Wireless Communications
R Saleem - 2023 - core.ac.uk
The evolution of wireless communication networks, from present to the emerging fifth-
generation (5G) new radio (NR), and sixth-generation (6G) is inevitable, yet propitious. The …
generation (5G) new radio (NR), and sixth-generation (6G) is inevitable, yet propitious. The …
Predictive handover strategy in 6g and beyond: A deep and transfer learning approach
I Panitsas, A Mudvari, A Maatouk… - arXiv preprint arXiv …, 2024 - arxiv.org
Next-generation cellular networks will evolve into more complex and virtualized systems,
employing machine learning for enhanced optimization and leveraging higher frequency …
employing machine learning for enhanced optimization and leveraging higher frequency …
[PDF][PDF] Machine and Deep Learning Algorithms for Radio Resource Management in 5G and Beyond Networks
Ι Μπαρτσιώκας - 2023 - dspace.lib.ntua.gr
Abstract Fifth-generation (5G) and beyond (B5G) wireless communications systems have
been established to support the exponential growth rate of mobile data traffic and dense …
been established to support the exponential growth rate of mobile data traffic and dense …
Inter-frequency radio signal quality prediction for handover, evaluated in 3GPP LTE
Radio resource management in cellular networks is typically based on device
measurements reported to the serving base station. Frequent measuring of signal quality on …
measurements reported to the serving base station. Frequent measuring of signal quality on …
An energy-efficient data offloading strategy for 5G-enabled vehicular edge computing networks using double deep Q-network
K Moghaddasi, S Rajabi… - Wireless Personal …, 2023 - Springer
In the era of fifth-generation (5G)-enabled vehicular edge computing (VEC), efficient data
offloading strategies are essential. The complexities inherent in this environment, such as …
offloading strategies are essential. The complexities inherent in this environment, such as …
Fast spectral assessment for handover decisions in 5G networks
In this paper, we present a UE-driven light-weight mechanism for fast handover decision and
efficient WLAN selection in the context of 5G networks. As the network deployments are …
efficient WLAN selection in the context of 5G networks. As the network deployments are …