Content-awareness-based resource scheduling method

Abstract

The invention discloses a content-awareness-based resource scheduling method. The method comprises: a transmitting terminal carries out statistics on IDs of requested contents by all receiving terminals and correlated channel state information; the transmitting terminal maintains corresponding request queues by using the content IDs as identifiers and calculates the user number of current service requests that can be met by employing different coding modulation ways under different request contents; the transmitting terminal calculates the potential service user number for scheduling a certain content currently by using a certain coding modulation way is calculated according to a predicted future content heat degree, a user caching state within a coverage range, and the connecting number and adds the potential service user number into a scheduling weight; according to the scheduling weight, content sorting is carried out and the contents are sent in a descending order according to a preset coding modulation way based on the scheduling weight; and a receiving terminal receives and decodes air interface data and a user that does not send a request and has a high channel can cache an air interface high-attention content selectively. According to the invention, the highest expected return under unit consumption resources during resource scheduling can be realized. Because the user having the high channel can carry out caching, repeated transmission of the hot content is avoided, the content transmission efficiency is improved, and the good user experience is provided.

Description

technical field [0001] The present invention relates to the field of resource scheduling in wireless communication, in particular to a content-aware-based resource scheduling method. Background technique [0002] With the ubiquity of mobile devices and the continuous enrichment of mobile applications, the demand for mobile data of users is showing an explosive growth trend, which brings great challenges to network operators. The massive data demand is mainly concentrated on multimedia content. It is predicted that multimedia content transmission will account for 72% of the data traffic in 2019. Unlike voice calls or peer-to-peer messaging services, multimedia content has distinct popularity attributes, ie the same multimedia content can be requested by multiple users. According to statistics, although the multimedia content traffic requested by users is huge, most of the user requests are actually concentrated in a small part of high-interest content, and this part of the c...

AI Technical Summary

Problems solved by technology

[0004] In the prior art, it has been considered to use the content popularity attribute for scheduling in the broadcast push service, but because it is a broadcast push service rather than a real-time scheduling service, it cannot use the physical layer channel information requested by the user in real time to associate with the content attribute. Cooperative Resource Scheduling Decision

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