Optimal User Scheduling Method Based on Minimum Effective Sinr in Low Power Consumption and Large Connection Scenarios

Abstract

The user scheduling method based on the minimum effective SINR optimal user scheduling method in the low-power large-connection scenario of the present invention can reasonably allocate resources to low-power large-connection terminals, improve system performance, and not only meet the access requirements of traditional FullBuffer users, but also meet Access requirements for a large number of low-power and large-connection terminals. It includes the following steps, step 1, in a multi-cell heterogeneous network in which several low-power consumption large-connection user terminals and FullBuffer user terminals are distributed, each cell is divided into three sectors; in each sector, according to user Determine the channel information of the user with the initial position of the base station, and determine the base station that provides services for the user; step 2, perform resource allocation for the low-power consumption and large-connection users served by each base station according to the optimal user scheduling method based on the minimum effective SINR; Step 3, allocate the remaining resources of each base station to the FullBuffer user by referring to the round-robin scheduling method.

Description

technical field [0001] The invention belongs to the field of communication technology, and relates to a new 5G scenario—a user scheduling strategy scheme in a low-power consumption and large connection scenario, specifically a user scheduling method based on minimum effective SINR optimization in a low-power consumption and large connection scenario. Background technique [0002] Since the birth of mobile communication in the 1980s, after more than 30 years of explosive growth, it has become the basic information network connecting human society. The development of mobile communication has not only profoundly changed people's way of life, but also has become an important engine to promote the development of the national economy and improve the level of social informatization. As 4G enters the stage of large-scale commercial use, the fifth-generation mobile communication (5G) for 2020 and the future has become a global research and development hotspot. [0003] 5G will solve...

AI Technical Summary

Problems solved by technology

[0003] 5G will solve the challenges brought about by differentiated performance indicators in diverse application scenarios. Different application scenarios face different performance challenges. User experience rate, traffic density, delay, energy efficiency, and number of connections may all become challenges for different scenarios. index

However, in the scenario of low power consumption and large connection, due to various types of user terminals, wide distribution range, and large number, there are many users of low power consumption services except those with FullBuffer services, so resource allocation cannot be done like traditional cellular networks. Use a simple scheduling strategy to allocate frequency resources

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