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Content caching decision and resource allocation combined optimization method based on mobile edge computing in Internet of Vehicles

A technology for content caching and resource allocation, applied in specific environment-based services, communication between vehicles and infrastructure, network planning, etc., can solve problems such as performance impact of vehicle applications

Active Publication Date: 2019-10-08
CHONGQING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, from the perspective of in-vehicle applications, communication, cache, and computing are the basic resources to support in-vehicle applications, how to allocate and optimize these resources will have a significant impact on the performance of in-vehicle applications

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  • Content caching decision and resource allocation combined optimization method based on mobile edge computing in Internet of Vehicles
  • Content caching decision and resource allocation combined optimization method based on mobile edge computing in Internet of Vehicles
  • Content caching decision and resource allocation combined optimization method based on mobile edge computing in Internet of Vehicles

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Embodiment Construction

[0036] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0037] figure 1is a model diagram of MEC-based vehicle content request. The network consists of roadside units (RSU) deployed on the road and vehicles installed with onboard units (OBU). The RSU is connected to the Mobile edge computing (MEC) server through a wired connection. The vehicle is connected to the RSU through V2I technology so that it can request content and computing tasks from the MEC server. Suppose there are M RSUs in the network, and RSUm has V m Each RSU is connected to a MEC server by wire, and each vehicle is equipped with an OBU and a single antenna. Consider a semi-static scenario, that is, the vehicle is still within the coverage of the current RSU during the content transmission process, and the RSU switching is not considered, and the vehicle distribution obeys the 1-D PPP model. Represents a collection of RSU / M...

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Abstract

The invention relates to a content caching decision and resource allocation combined optimization method based on mobile edge computing in the Internet of Vehicles, and belongs to the technical fieldof mobile communication. The mobile edge calculation MEC is used as a foreground edge calculation, and has strong calculation capability and storage capability. The MEC server is deployed on the RSU side and can provide storage space and computing resources for vehicle users. Although the MEC provides services similar to cloud computing, the problems of caching, computing resource allocation, spectrum resource allocation and the like still exist. The method aims to maximize the network revenue under the condition of guaranteeing the time delay requirement. According to the method, a content caching decision, MEC server computing resource distribution and spectrum resource distribution are jointly modeled into a Markov decision process (MDP), a deep reinforcement learning method is used forsolving, and an optimal content caching decision, computing resource distribution and spectrum distribution are obtained.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and relates to a joint optimization method for content cache decision-making and resource allocation based on mobile edge computing in the Internet of Vehicles. Background technique [0002] As one of the application scenarios under the 5G network, the development of the Internet of Vehicles has been greatly influenced by information and communication technologies, which have driven a large number of innovations in various fields, including communication, caching, and computing. For example, vehicles are interconnected with various infrastructures, devices, users, etc., various services, content and application providers are interconnected through mobile wireless networks, and information and entertainment content are provided for drivers and vehicles. Typical applications of in-vehicle networks include advance safety Warning, managing and playing audio content, driving with navigati...

Claims

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Application Information

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IPC IPC(8): H04W4/44H04W16/10H04W72/04
CPCH04W4/44H04W16/10H04W72/53
Inventor 黄晓舸许可樊伟伟陈前斌
Owner CHONGQING UNIV OF POSTS & TELECOMM
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