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Superimposed pilot method based on spatial multiplexing in large scale MIMO system

A spatial multiplexing and large-scale technology, applied in the transmission system, baseband system, pilot signal distribution, etc., can solve the problems of pilot and data mutual interference, channel estimation and data decoding performance degradation, etc.

Active Publication Date: 2019-03-19
HANGZHOU DIANZI UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for channel estimation based on superimposed pilots, there will be serious pilot and data mutual interference in channel estimation and data decoding, which will degrade the performance of channel estimation and data decoding

Method used

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  • Superimposed pilot method based on spatial multiplexing in large scale MIMO system
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  • Superimposed pilot method based on spatial multiplexing in large scale MIMO system

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Embodiment Construction

[0057] The technical solution of the present invention will be further explained below.

[0058] The method for superimposing pilots based on spatial multiplexing in the embodiment of the present invention improves on the shortcomings of existing methods for superimposing pilots. The superimposed pilot method based on spatial multiplexing in the embodiment of the present invention is used for the superimposed pilot method of an uplink multi-cell multi-user massive MIMO system, and its optimal power allocation scheme is given. The specific technical plan is divided into four parts as follows:

[0059] 1. Design the sending signal and process the receiving signal

[0060] Suppose there are L cells in the uplink multi-cell multi-user massive MIMO system, and each cell has only one base station, the base station is equipped with M antennas, and serves K mutually independent single-antenna users, and the first cell is the target cell . Assume that the channel is slow and flat fadi...

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Abstract

The invention belongs to the technical field of wireless communication, and in particular relates to a superimposed pilot method based on spatial multiplexing in a large scale MIMO system, applied toan uplink multi-cell multi-user large scale MIMO system. The superimposed pilot method comprises the following steps of designing a sending signal and processing a received signal; performing channelestimation according to the received signal and by using an MMSE estimation method; using maximization of a signal to noise ratio as an optimization target to determine the optimal power distribution;and improving channel estimation via iterative operation. Compared with the traditional pilot method based on spatial multiplexing, the superimposed pilot method based on spatial multiplexing can achieve higher throughput of system, and the provided iteration algorithm can improve channel estimation and thus further enhance system performance.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a superposition pilot method based on spatial multiplexing in a massive MIMO system. Background technique [0002] In a massive MIMO system, the base station is equipped with dozens to hundreds of antennas. Thanks to the large-scale antennas at the base station, the channels between different users and the base station are gradually orthogonal. Therefore, only simple signal processing techniques are used, and the system Both the data transfer rate and energy efficiency can be greatly improved. However, this advantage is based on the assumption that the base station can accurately estimate channel state information (CSI), so the acquisition of CSI is very important to the system. If the CSI is unknown, the overall performance of the system will be greatly reduced. [0003] In the uplink massive MIMO system, the known pilot signal is superimposed on the ...

Claims

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Application Information

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IPC IPC(8): H04B7/0452H04B7/0426H04L5/00H04L25/02H04W52/24H04W52/42
CPCH04B7/0426H04B7/0452H04L5/0048H04L25/0204H04L25/0224H04L25/0256H04W52/241H04W52/42
Inventor 王海泉张金坭周雨馨李淑吟
Owner HANGZHOU DIANZI UNIV
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