An Optimization-Based Orchestrator for Resource Access and Operation Management in Sliced 5G Core Networks

Network slicing is a promising technology that network operators can deploy the services by slices with heterogeneous quality of service (QoS) requirements. However, an orchestrator for network operation with efficient slice resource provisioning algorithms is essential. This work stands on Internet service provider (ISP) to design an orchestrator analyzing the critical influencing factors, namely access control, scheduling, and resource migration, to systematically evolve a sustainable network. The scalability and flexibility of resources are jointly considered. The resource management problem is formulated as a mixed-integer programming (MIP) problem. A solution approach based on Lagrangian relaxation (LR) is proposed for the orchestrator to make decisions to satisfy the high QoS applications. It can investigate the resources required for access control within a cost-efficient resource pool and consider allocating or migrating resources efficiently in each network slice. For high system utilization, the proposed mechanisms are modeled in a pay-as-you-go manner. Furthermore, the experiment results show that the proposed strategies perform the near-optimal system revenue to meet the QoS requirement by making decisions.

Factory 5G: A Review of Industrial-Centric Features and Deployment Options

<p>Fine-grained and wide-scale connectivity is a precondition to fully digitalize the manufacturing industry. Driven by this need, new technologies such as time-sensitive networking (TSN), fifth-generation (5G) wireless networks, and industrial Internet-of-things (IIoT) are being applied to industrial communication networks to reach the desired connectivity spectrum. With TSN emerging as a wired networking solution, converging information technology (IT) and operational technology (OT) data streams, 5G is upscaling its access and core networks to function as an independent or a transparent TSN carrier in demanding OT use-cases. In this article, we discuss the drivers for future industrial wireless systems and review the role of 5G and its industrial-centric evolution towards meeting the strict performance standards of factories. We also elaborate on the 5G deployment options, including frequency spectrum allocation and private networks, to help the factory owners discern various dimensions of solution space and concerns to integrate 5G in industrial networks.</p><br>

Factory 5G: A Review of Industrial-Centric Features and Deployment Options

<p>Fine-grained and wide-scale connectivity is a precondition to fully digitalize the manufacturing industry. Driven by this need, new technologies such as time-sensitive networking (TSN), fifth-generation (5G) wireless networks, and industrial Internet-of-things (IIoT) are being applied to industrial communication networks to reach the desired connectivity spectrum. With TSN emerging as a wired networking solution, converging information technology (IT) and operational technology (OT) data streams, 5G is upscaling its access and core networks to function as an independent or a transparent TSN carrier in demanding OT use-cases. In this article, we discuss the drivers for future industrial wireless systems and review the role of 5G and its industrial-centric evolution towards meeting the strict performance standards of factories. We also elaborate on the 5G deployment options, including frequency spectrum allocation and private networks, to help the factory owners discern various dimensions of solution space and concerns to integrate 5G in industrial networks.</p><br>

Topology Control for Resource Management in Microwave Backhaul Networks

<p>Microwave backhaul networks are the dominant technology used to connect together access and core networks for their flexibility and cost-effectiveness in deployment. Unfortunately, microwave backhaul networks are susceptible to interference and are statically managed leading to poor Quality of Service (QoS) in the form of high delays and loss as well as being inefficient on energy. The use of Software Defined Networking (SDN) is proposed to address these problems by dynamically managing resources to work around the interference and remove static allocations. Two new algorithms, CUT and OptiCUT were designed to compute an optimal topology, to minimise loss and delay while at the same time reducing power consumption.</p>

Topology Control for Resource Management in Microwave Backhaul Networks

<p>Microwave backhaul networks are the dominant technology used to connect together access and core networks for their flexibility and cost-effectiveness in deployment. Unfortunately, microwave backhaul networks are susceptible to interference and are statically managed leading to poor Quality of Service (QoS) in the form of high delays and loss as well as being inefficient on energy. The use of Software Defined Networking (SDN) is proposed to address these problems by dynamically managing resources to work around the interference and remove static allocations. Two new algorithms, CUT and OptiCUT were designed to compute an optimal topology, to minimise loss and delay while at the same time reducing power consumption.</p>