Resource slicing in virtual wireless networks: a survey

New architectural and design approaches for radio access networks have appeared with the introduction of network virtualization in the wireless domain. One of these approaches splits the wireless network infrastructure into isolated virtual slices under their own management, requirements, and characteristics. Despite the advances in wireless virtualization, there are still many open issues regarding the resource allocation and isolation of wireless slices. Because of the dynamics and shared nature of the wireless medium, guaranteeing that the traffic on one slice will not affect the traffic on the others has proven to be difficult. In this paper, we focus on the detailed definition of the problem, discussing its challenges. We also provide a review of existing works that deal with the problem, analyzing how new trends such as software defined networking and network function virtualization can assist in the slicing. We will finally describe some research challenges on this topic.Peer ReviewedPostprint (author's final draft

A comparison of MRP/GT and MRP/JS scheduling

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Resource allocation for network slicing in WiFi access points

International audienceNetwork slicing has recently appeared as one of the most important features that will be provided by 5G networks and is attracting considerable interest from industry and academia. At the wireless edge of these networks, most of the contributions in this area are related to cellular technologies leaving behind WiFi networks. In this work, we present a resource allocation mechanism based on airtime assignment to achieve infrastructure sharing and slicing in WiFi Access Points. The approach is simple and has the potential to be straightforwardly used within scenarios of wireless access infrastructure sharing

Policy-based Pricing for Heterogeneous Wireless Access Networks

Abstract. Our cities are already covered by a myriad of diverse wireless access networks. The most ubiquitous access networks are the well organized homogeneous and centralized operator-based cellular networks that sustain their business model on a captive client basis. However, a new billing paradigm is rising, where a client can choose to connect to the provider that best comply with his/her current requirements and context. Inside this paradigm, this paper presents a distributed, rule-based pricing strategy aimed to improve the quality of service and to increase the global income of a service provider. The performance and reliability of the rule-based decisions is supported by a Finite State Transducers-based inference machine specially designed to manage networking systems. We show, with simulations, that, using our strategy, the operators can make the new billing paradigm profitable while the clients benefit from the economic advantages of competition and of the quality given by a pricing-based network balance mechanism

Resource slicing in virtual wireless networks: a survey

New architectural and design approaches for radio access networks have appeared with the introduction of network virtualization in the wireless domain. One of these approaches splits the wireless network infrastructure into isolated virtual slices under their own management, requirements, and characteristics. Despite the advances in wireless virtualization, there are still many open issues regarding the resource allocation and isolation of wireless slices. Because of the dynamics and shared nature of the wireless medium, guaranteeing that the traffic on one slice will not affect the traffic on the others has proven to be difficult. In this paper, we focus on the detailed definition of the problem, discussing its challenges. We also provide a review of existing works that deal with the problem, analyzing how new trends such as software defined networking and network function virtualization can assist in the slicing. We will finally describe some research challenges on this topic.Peer Reviewe

Policy-based pricing for heterogeneous wireless access networks

Our cities are already covered by a myriad of diverse wireless access networks. The most ubiquitous access networks are the well organized homogeneous and centralized operator-based cellular networks that sustain their business model on a captive client basis. However, a new billing paradigm is rising, where a client can choose to connect to the provider that best comply with his/her current requirements and context. Inside this paradigm, this paper presents a distributed, rule-based pricing strategy aimed to improve the quality of service and to increase the global income of a service provider. The performance and reliability of the rule-based decisions is supported by a Finite State Transducersbased inference machine specially designed to manage networking systems. We show, with simulations, that, using our strategy, the operators can make the new billing paradigm profitable while the clients benefit from the economic advantages of competition and of the quality given by a pricing–based network balance mechanism