Base station and video scheduling method

Abstract

The invention discloses a video scheduling method. The method comprises the following steps: recording the number of received data of each user before the current time slot; determining the number of the data at least needing to be acquired by each user before the current time slot by use of a sine function; determining the priority of each user at the current time slot according to the number of the received data of each user before the current time slot, the service quality requirement of each user and the number of the data at least needing to be acquired by each user before the current time slot; orderly adding the users in a user scheduling set one by one from the highest to the lowest according to the priority at the current time slot to form a plurality of user scheduling sets, updating the user scheduling set according to the multicast speed corresponding to the user scheduling set, and computing the throughput rate of all users in each updated user scheduling set; and comparing the throughput rates of all user scheduling sets at the current time slot, determining the user scheduling set with the largest throughput rate as the optimal user scheduling set, and scheduling all users in the optimal user scheduling set, thereby achieving the high-efficient multicast.

Description

technical field [0001] The present invention relates to the technical field of communications, in particular to a base station and a video scheduling method. Background technique [0002] With the rapid development of multimedia services, people's demand for high-speed data services is increasing. The opportunistic multicast scheduling technology uses the multi-user diversity of the unicast technology and the broadcast gain of the broadcast technology at the same time to meet the quality of service (Quality Of Service, QoS) of high-rate data service users. However, the current opportunistic multicast scheduling technology is to select a certain proportion of users with better channel conditions for scheduling in each time slot, while users with poor channel conditions will not be scheduled until the users with poor channel conditions The channel condition of the channel improves, thus reducing the multicast efficiency. At the same time, since the number of users scheduled ...

AI Technical Summary

Problems solved by technology

However, the current opportunistic multicast scheduling technology is to select a certain proportion of users with better channel conditions for scheduling in each time slot, while users with poor channel conditions will not be scheduled until the users with poor channel conditions channel conditions improve, thus reducing the multicast efficiency

At the same time, due to the fixed number of users scheduled in each time slot, it is impossible to achieve efficient multicast

For heterogeneous networks, the distance between users and the base station may be different, so the QoS of each user may be different

The current opportunistic multicast scheduling technology cannot adjust the broadcast users in each time slot according to the QoS of each user, and cannot achieve efficient multicast

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