Fatima A. AlKhoori, Latif U. Khan, Mohsen Guizani, Martin Takac
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引用次数: 0
Abstract
Recent unprecedented trend towards novel vehicular network applications (e.g., lane change assistance, collision avoidance, accident reporting, and infotainment) led to research activities towards the novel design of vehicular networks. Such a novel design can leverage metaverse architecture among various possible schemes. However, enabling the metaverse for a vehicular network requires careful placement of meta spaces (i.e., virtual network functions based on virtual machines running a virtual model of the actual network) at the network edge. Furthermore, virtual network functions will use additional entities (e.g., memory storage) to better implement meta spaces. Therefore, in this work, we consider the efficient placement of meta spaces at the network edge. We formulate a cost function that accounts for latency (i.e., meta space computing latency and transmission latency for meta spaces signaling). To minimize this cost, an optimization problem is formulated that uses three variables: (a) meta spaces (i.e., based on virtual machines) operating frequency, (b) meta space placement, and (c) wireless resource allocation. A decomposition-based solution is used to solve the formulated problem due to its difficult nature. Finally, numerical results are provided and the paper is concluded.
期刊介绍:
The journal Simulation Modelling Practice and Theory provides a forum for original, high-quality papers dealing with any aspect of systems simulation and modelling.
The journal aims at being a reference and a powerful tool to all those professionally active and/or interested in the methods and applications of simulation. Submitted papers will be peer reviewed and must significantly contribute to modelling and simulation in general or use modelling and simulation in application areas.
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• theoretical aspects of modelling and simulation including formal modelling, model-checking, random number generators, sensitivity analysis, variance reduction techniques, experimental design, meta-modelling, methods and algorithms for validation and verification, selection and comparison procedures etc.;
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