Scalable Service-Driven Database-Enabled Wireless Network Virtualization for Robust RF Sharing
Abstract : Wireless virtualization has emerged as one of the efficient ways to overcome numerous wireless networking challenges such as RF resource sharing. RF spectrum sharing in wireless networks focuses on increasing the usage efficiency of radio frequency (RF) spectrum with its increasing demand. To reduce uncertainties that accompany the spectrum sharing process caused by RF sensing, database-based spectrum sharing allows opportunistic spectrum access through occupancy information query of a spectrum database. In this paper, we propose a 2-level hierarchical spectrum allocation framework for multiple service-based virtual networks (VN) by leasing wireless resources from Wireless Infrastructure Providers (WIPs). The software defined network (SDN)-enabled virtualization configures the operating environment on the fly. This paper focuses on the competition between multiple VNs to get best RF channels to serve their users while eliminating the need for one-to-one contracts between VNs and WIPs. We develop a mathematical model for the spectrum allocation scheme which allows heterogeneous network configurations with better economic benefit. A trust-based security mechanism is also proposed for early detection and prevention of security attacks to maintain the availability attribute of the resource allocation process. Simulation results show that spectrum sharing is efficient, and assures service availability to perceived legitimate VN users.
? We survey the existing work on wireless network virtualization, and classify this work in a coherent and meaningful manner, using virtualization theory.
? One advantage of having an ordered hierarchy of representation levels is that existing physical instantiations for abstract objects can be reused, since it is not an easy task to design a physical instantiation of an abstract system.
? Existing network providers have very few opportunities to distinguish themselves from their competitors and thus they equally have little incentive to develop and deploy new solutions.
? By splitting the roles of SP and IP, new experimental software and protocols can be tested in isolated networks, without affecting existing services.
? The mapping problem may be formulated as integer programming and solved accordingly.
? With the requests from virtual networks, the InPs need to map the virtual nodes/links to the physical nodes/paths, which is known to be a NP-hard problem.
? However, due to distinct capabilities and loads on the network entities, the decision rule update times can be various, resulting in inconsistency issue.
? Along with the benefits, WNV also poses various security issues. Since the SDN controller is responsible for dispatching and managing resources to different VNOs, it is vulnerable to denialof-service (DoS) attacks, which can paralyze all the virtual networks operation.
• Wireless Network Virtualization (WNV) has been proposed as an extension of (wired) network virtualization to the wireless domain, with the main difference being the wireless links.
• Wireless network virtualization has been proposed as an extension of network virtualization to wireless networks, providing similar potential benefits in terms of flexibility and efficiency.
• We propose a test which determines whether proposed techniques are recursive, at least in theory.
• To the best of our knowledge, spectrum-level virtualization was first proposed , in which wireless network virtualization is considered as an extension to the wired network virtualization testbed GENI.
? The node and link mapping can be solved in an uncoordinated or coordinated fashion, considering the tradeoff between performance and complexity.
? Specifically, each virtual network firstly determines the optimal resource capacity required to satisfy the average end-to-end performance requirement.
? Contrary to the previous case, virtual networks have no fixed resource requests and can adjust the capacity requests to balance the achievable performance and the cost.
? Moreover, dependencies on the rules further make network update more complex. Dynamic and fast network update is of great importance to ensure the consistency and efficiency of WNV.
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