Method and system for joint resource allocation and computing unloading in software defined vehicle-mounted edge network

Abstract

The invention discloses a method and a system for joint resource allocation and computing unloading in a software defined vehicle-mounted edge network. The method comprises the following steps: establishing a mathematical model of a wireless communication theory according to data information, and modeling a joint resource allocation and calculation unloading problem as a mixed integer nonlinear programming problem (MINLP) according to the mathematical model; decomposing an original problem into a resource allocation sub-problem and a calculation unloading sub-problem through a Tammer decomposition method, and adopting function monotonicity definition, Lagrangian duality and KKT (Karush-Kahn-Tucker) to obtain optimal resource distribution, and obtaining an optimal unloading strategy by adopting a multi-stage low-complexity heuristic algorithm; wherein the server can allocate computing resources to the vehicle according to the scheme of the controller, and the vehicle selects the serverto unload the computing task according to the strategy of the controller. According to the invention, an optimal unloading strategy and an optimal resource allocation scheme are provided for vehicles,and the total processing delay of vehicle-mounted tasks in a system range is reduced.

Description

technical field [0001] The invention belongs to the related fields of mobile communication and mobile edge computing research, and in particular relates to a method and system for joint resource allocation and computing offloading in a software-defined vehicle edge network. Background technique [0002] As the process of vehicle intelligence accelerates, future vehicles will be able to provide advanced functions such as autonomous driving and virtual reality. However, running these computationally intensive and latency-sensitive tasks is a challenging task for already resource-constrained vehicles. Cloud computing technology can alleviate this problem to a certain extent, but traditional cloud computing servers are usually located in the core network, and the long-distance transmission of task files between remote cloud servers and mobile vehicles may bring considerable delay overhead . In order to solve the above contradictions, edge computing is a recently emerging techn...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the technical problem that the delay requirements of the current vehicle tasks and the calculation offloading and resource allocation schemes do not consider making decisions based on the global information of the network, resulting in the impact of computing and processing efficiency, the present invention provides a software-defined joint resource in the vehicle edge network Method and system for allocating and computing offload

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