Pilot allocation method based on positioning information

Abstract

The invention discloses a pilot allocation method based on positioning information, belongs to the technical field of communication, and in particular relates to a pilot allocation method based on positioning information. The pilot allocation method is based on user location information and base station location information, and has better user average performance (average normalized mean square error of a channel) of an entire massive MIMO system than a method in the prior art. In addition, the pilot allocation technology is also greatly improved in terms of fairness among users of the entirecommunication system.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a pilot allocation method based on positioning information. Background technique [0002] In 2010, Professor Marzetta of Bell Labs analyzed the performance of multi-cell communication systems when the number of base station antennas tends to infinity in the literature for the first time, and pointed out that the pilot pollution problem seriously restricts the system performance of Massive MIMO. In recent years, the impact of pilot pollution effects on the performance of Massive MIMO systems in different scenarios and how to solve or alleviate the problem of pilot pollution has gradually become a research hotspot in current wireless communications. [0003] As far as how to solve the problem of pilot pollution in TDD Massive MIMO systems, the current research results can be roughly divided into two categories: one is the estimation method based on pilot, includin...

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Problems solved by technology

[0002] In 2010, Professor Marzetta of Bell Labs analyzed the performance of the multi-cell communication system when the number of base station antennas tends to infinity in the literature for the first time, and pointed out that the pilot pollution problem seriously restricts the system performance of Massive MIMO

However, in this paper, the pilot allocation criterion is to maximize the total rate of users in the target cell, without considering the performance of users in other cells in the massive MIMO system

In addition, this document uses a greedy algorithm when pursuing the maximization of the total rate of the target cell, so that the performance of different users in the target cell varies greatly, and the fairness of users in the target cell cannot be guaranteed.

The document "FairPilot Assignment Based on AOA and Pathloss with Location Information inMassive MIMO" aims at the fairness of target cell users in the above article, and proposes a new pilot assignment metric, which solves the problem to a certain extent; but There is still a lot of room for improvement in solving the fairness of all community users

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