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A comprehensive systematic review on machine learning application in the 5G-RAN architecture: Issues, challenges, and future directions
Abstract The fifth-generation (5G) network is considered a game-changing technology that
promises advanced connectivity for businesses and growth opportunities. To gain a …
promises advanced connectivity for businesses and growth opportunities. To gain a …
Comprehensive tutorial on the organization of a standards-aligned network slice/subnet design process and opportunities for its automation
P Wyszkowski, J Kienig, K Zieliński… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Building complex entities like Network Slices and their Subnets requires proper models and
methods to allow their convenient design and deployment. Despite significant progress in …
methods to allow their convenient design and deployment. Despite significant progress in …
Dynamic SDN-based radio access network slicing with deep reinforcement learning for URLLC and eMBB services
A Filali, Z Mlika, S Cherkaoui… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Radio access network (RAN) slicing is a key technology that enables 5G network to support
heterogeneous requirements of generic services, namely ultra-reliable low-latency …
heterogeneous requirements of generic services, namely ultra-reliable low-latency …
Intelligent joint network slicing and routing via GCN-powered multi-task deep reinforcement learning
In 6G mobile systems, network slicing is an emerging technology to support services with
distinct requirements by dividing a common infrastructure into multiple logical networks …
distinct requirements by dividing a common infrastructure into multiple logical networks …
Applications of machine learning in resource management for RAN-slicing in 5G and beyond networks: A survey
One of the key foundations of 5th Generation (5G) and beyond 5G (B5G) networks is
network slicing, in which the network is partitioned into several separated logical networks …
network slicing, in which the network is partitioned into several separated logical networks …
A survey on deep learning for challenged networks: Applications and trends
Computer networks are dealing with growing complexity, given the ever-increasing volume
of data produced by all sorts of network nodes. Performance improvements are a non-stop …
of data produced by all sorts of network nodes. Performance improvements are a non-stop …
Deep reinforcement learning-based network slicing for beyond 5G
With the advent of 5G era, network slicing has received a great deal of attention as a means
to support a variety of wireless services in a flexible manner. Network slicing is a technique …
to support a variety of wireless services in a flexible manner. Network slicing is a technique …
Blockchain-enabled resource trading and deep reinforcement learning-based autonomous RAN slicing in 5G
GO Boateng, D Ayepah-Mensah… - … on Network and …, 2021 - ieeexplore.ieee.org
The advent of radio access network (RAN) slicing is envisioned as a new paradigm for
accommodating different virtualized networks on a single infrastructure in 5G and beyond …
accommodating different virtualized networks on a single infrastructure in 5G and beyond …
Machine learning in network slicing—a survey
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 …
diverse requirements. Yet, the traditional “one-size-fits-all” network architecture lacks the …
Orthogonal and non-orthogonal multiple access for intelligent reflection surface in 6G systems
W Jiang, HD Schotten - 2023 IEEE Wireless Communications …, 2023 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) is envisioned to become a key technology for the
upcoming six-generation (6G) wireless system due to its potential of rea** high …
upcoming six-generation (6G) wireless system due to its potential of rea** high …