Faced with the rapid increase in smart Internet-of-Things (IoT) devices and the high demand for new business-oriented services in the fifth-generation (5G) and beyond network, the …
Network Slicing and Deep Reinforcement Learning (DRL) are vital enablers for achieving 5G and 6G networks. A 5G/6G network can comprise various network slices from unique or …
Network slicing enables multiple virtual networks to be instantiated and customized to meet heterogeneous use case requirements over 5G and beyond network deployments …
LMP Larsen, HL Christiansen, S Ruepp… - IEEE Open journal of …, 2023 - ieeexplore.ieee.org
Mobile network traffic is increasing and so is the energy consumption. The Radio Access Network (RAN) part is responsible for the largest share of the mobile network energy …
5G and beyond networks are expected to support a wide range of services, with highly diverse requirements. Yet, the traditional “one-size-fits-all” network architecture lacks the …
H Zhou, M Elsayed… - 2021 IEEE 32nd Annual …, 2021 - ieeexplore.ieee.org
5G is regarded as a revolutionary mobile network, which is expected to satisfy a vast number of novel services, ranging from remote health care to smart cities. However, heterogeneous …
X Meng, Y Jia, Q Xu, C Ren, X Han… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The stability of dual active bridge converter (DAB) is threatened when feeding the constant power loads (CPLs). This article proposes a deep reinforcement learning-based …
N Saha, M Zangooei, M Golkarifard… - IEEE Communications …, 2023 - ieeexplore.ieee.org
Network slicing in 5G and beyond networks allows the network to be customized for each application or service by chaining together different virtualized network functions (VNFs) …
6G Frontiers Enables readers to understand the exciting new technologies, architectural directions, technical aspects, and applications of 6G, plus legal and standardization …