Internet of vehicles (IoV) data transmission scheduling method based on channel prediction

A data transmission and channel prediction technology, applied in the field of wireless communication, can solve problems such as easy outdated, increase system communication cost, affect resource scheduling efficiency, etc., and achieve the effect of optimizing network performance

Inactive Publication Date: 2017-07-21
PEKING UNIV
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  • Abstract
  • Description
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Problems solved by technology

[0004] Although higher system performance can be obtained, the existing traditional centralized data distribution scheme requires vehicles to upload complete channel information including large-scale fading and small-scale fading in real time, which sig

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  • Internet of vehicles (IoV) data transmission scheduling method based on channel prediction
  • Internet of vehicles (IoV) data transmission scheduling method based on channel prediction
  • Internet of vehicles (IoV) data transmission scheduling method based on channel prediction

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Embodiment Construction

[0050] Below in conjunction with accompanying drawing, further describe the present invention through embodiment, but do not limit the scope of the present invention in any way.

[0051] The present invention provides a data transmission scheduling method for the Internet of Vehicles based on channel prediction, which predicts large-scale fading channels, obtains relatively accurate channel information on the premise of reducing communication costs, and improves system delay and throughput performance.

[0052] The implementation manner of this solution is described below by taking a data distribution application as an example. Data distribution occurs periodically in time. Each data distribution cycle can be divided into an information collection phase, a relay selection phase, and a data transmission phase (including R data frames). The network of vehicles data transmission scheduling method based on channel prediction of the present invention comprises the following steps:...

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Abstract

The invention discloses an Internet of vehicles (IoV) data transmission scheduling method based on channel prediction. Large-scale channel information between vehicles and roadside enter units and between vehicles is predicted by using a channel prediction algorithm according to collected vehicle state information, a signal to noise ratio and communication benefit of a potential communication link are computed, and a relay vehicle node set is selected to scheduling data distribution by using a greedy algorithm. According to the method, an effective vehicle node is selected as a relay node for distributing data by predicting the channel fading in large scale to achieve the maximum communication benefit; and in a central data distribution scene having the vehicles and the roadside center units, a throughput rate of the system is improved, and data distribution delay is reduced by reasonably allocating time resources.

Description

technical field [0001] The present invention relates to wireless communication technology, in particular to a channel prediction-based data transmission scheduling method suitable for the Internet of Vehicles, which can effectively improve the system throughput of the Internet of Vehicles, reduce data transmission delays, and ensure relatively Low computational complexity and communication cost. Background technique [0002] The Internet of Vehicles can meet the growing demand for data transmission rates in road traffic systems, and is widely used in applications such as road condition detection and accident warning. It allows vehicles to communicate directly with other vehicles or roadside central units (road-side unit), thereby saving the high communication cost and high delay caused by cellular communication. Data transmission in the Internet of Vehicles has problems such as fast vehicle movement, rapid network topology changes, and small communication range. In practica...

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Application Information

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IPC IPC(8): H04B17/382H04B17/373H04B17/391H04W40/22H04W72/08H04W72/12H04L29/08
CPCH04B17/373H04B17/382H04B17/3911H04L67/12H04W40/22H04W72/542Y02D30/70
Inventor 程翔曾繁辉张荣庆
Owner PEKING UNIV
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