A Dynamic Pilot Allocation Method for Large-Scale MIMO Systems Based on Large-Scale Information

Abstract

The invention puts forward a dynamic pilot allocation method of a large-scale MIMO system based on large scale information, comprising the following steps: S1, numbering users in each cell in sequence, and getting the large scale information from each user to each base station; S2, for each user to be allocated with a pilot, making the user reuse allocated pilots in sequence, and calculating the interference intensity of pilot reuse according to the large scale information; S3, if there are pilots of which the interference intensity satisfies an interference threshold, allocating a pilot with the minimum average interference intensity to the user, and if there is no pilot of which the interference intensity satisfies the interference threshold, adding an orthogonal pilot resource and allocating the orthogonal pilot resource to the user; and S4, iteratively performing S2-S3 until all the users are allocated with a pilot. According to the invention, the length of a pilot sequence required is determined dynamically based on the large scale information from users to base stations, the pilot overhead is reduced greatly while pilot training interference is limited, and the net spectrum efficiency of the system can be improved significantly.

Description

technical field [0001] The invention relates to the technical fields of massive MIMO and wireless communication, in particular to a dynamic pilot allocation method for a massive MIMO system based on large-scale information. Background technique [0002] With the development of wireless communication technology, the scope of wireless services has been continuously expanded, and the increasing demand for data services has brought great challenges to the fifth generation mobile communication system (5G). ITU (International Telecommunication Union, International Telecommunication Union) predicts that By 2020, the requirements for performance indicators such as transmission rate and access density will be increased by tens to hundreds of times compared with the existing system. The continuous growth of data services makes the development of wireless networks face a bottleneck. As one of the key technologies of the next-generation mobile communication system, massive MIMO (Multip...

AI Technical Summary

Problems solved by technology

At present, a way to reduce pilot overhead is to reuse transmission resources for data transmission and pilot training in different cells, that is, the asynchronous pilot training method can effectively reduce pilot overhead, but the mutual interference between data and pilot signals is harmful to System performance will have a large negative impact; another way to reduce pilot overhead is to use the difference in subspace characteristics of the user channel covariance matrix to reuse pilots, but only considers the design of the fixed-length scheme, which is less flexible. Pilot resource utilization still needs to be improved

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