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MEC-based V2X mobility prediction and content cache unloading scheme

A content caching and mobility technology, applied in the directions of location-based services, specific environment-based services, transportation and packaging, etc., can solve the problem of not considering terminal mobility prediction, etc.

Active Publication Date: 2019-02-26
CHONGQING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

[0006] However, most of the above studies only considered the limited resources, limited to task offloading and content caching, and did not consider terminal mobility prediction

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  • MEC-based V2X mobility prediction and content cache unloading scheme
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  • MEC-based V2X mobility prediction and content cache unloading scheme

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Embodiment Construction

[0072]In order to express the object, technical solution and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific implementation cases.

[0073] figure 1 The task unloading model diagram of the Internet of Vehicles system used in the present invention specifically includes:

[0074] Considering the environment of Internet of Vehicles, vehicles can communicate with adjacent vehicles and mobile edge servers (MEC) through cellular networks. L requesting vehicles are distributed on the road according to Poisson distribution, expressed as V={v 1 ,v 2 ..., v L}, since the service-providing vehicle and the MEC have the same communication properties, they are uniformly defined as service nodes, expressed as S={s 1 ,s 2 ...,s M}, each service node s i All have limited computing resources, wireless resources and cache space, and can perform task calculation and ...

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Abstract

Mobile Edge Computing (MEC) has the advantages of high bandwidth and low latency and has attracted extensive attention in the study of next generation of mobile networks by providing service environment and computing power at the edge of mobile networks. The invention discloses a vehicle task unloading and user mobility prediction and edge cache fusion policy in a vehicle networking environment. An MEC-based unloading framework is built. Tasks can be unloaded to an MEC server for vehicle-to-infrastructure (V2I) communications or can be unloaded to an adjacent vehicle for vehicle-to-vehicle (V2V) communications. Considering task backhaul failure caused by link disconnection caused by user mobility, the Kalman filter algorithm is used to predict link connection estimation, and a user can select a stable service node during task request and task collection. Cache decisions are made before the service node first returns a task to a request vehicle. Access latency, traffic load and networkcost can be significantly reduced through content cache.

Description

technical field [0001] The invention relates to the technical field of wireless short-distance communication in an Internet of Vehicles system, in particular to a V2X task offloading and edge caching solution based on mobile edge computing. Background technique [0002] With the rapid development of wireless communication technology, networked vehicles can form a vehicle ad hoc network (VANET) through V2I and V2V communication. Due to the explosive growth of various applications requesting services, VANETs have received considerable attention in both academia and industry. In the vehicle ad hoc network, the vehicle is equipped with an on-board unit OBU, which has certain computing and storage capabilities. Nowadays, the limited computing and storage resources of vehicles are difficult to support this kind of computing-intensive in-vehicle services. Therefore, the limited computing power of OBU brings new challenges to VANET. To address this challenge, offloading computing...

Claims

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Application Information

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IPC IPC(8): H04L29/08H04W4/02H04W28/02H04W4/40
CPCH04W4/02H04W4/40H04W28/02H04L67/568
Inventor 张海波王子心刘开健
Owner CHONGQING UNIV OF POSTS & TELECOMM
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