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A Neural Network Based Design Method for Cellular Mobile Communication System Receiver

A technology of cellular mobile communication and neural network, applied in the field of receiver design of cellular mobile communication system, can solve the problems of pilot frequency pollution, reduce receiver performance, cannot estimate accurate channel state information, etc., so as to improve bit error rate performance, The effect of reducing the effect of pilot pollution

Active Publication Date: 2021-04-13
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

However, the Massive MIMO system also faces many practical problems, the most important of which is that due to the large number of antennas in the Massive MIMO system, adjacent cells must reuse the same set of orthogonal pilots or use non-orthogonal pilots to reduce pilot overhead, but this creates serious pilot pollution problems
Therefore, traditional channel estimation methods cannot estimate accurate channel state information (Channel State Information, CSI) in Massive MIMO systems, which greatly reduces receiver performance

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  • A Neural Network Based Design Method for Cellular Mobile Communication System Receiver
  • A Neural Network Based Design Method for Cellular Mobile Communication System Receiver
  • A Neural Network Based Design Method for Cellular Mobile Communication System Receiver

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[0033] A further detailed description will be given below in conjunction with the accompanying drawings and specific embodiments of the present invention.

[0034] figure 1 An example model of a cellular communication network considered in the present invention is shown. In this example cellular network, the channel from all users to the base station consists of two parts: large-scale fading and small-scale fading. Such as figure 1 As shown, in the network, Indicates the channel coefficient from the kth orthogonal channel user in the lth cell to the ith cellular base station antenna, where β i,k,l is the large-scale fading, g i,k,l is small-scale fading, P is the number of environmental multipath, is the angle of arrival (Direction of Arrival, DOA) of each multipath. The large-scale fading is related to the physical distance from the user to the base station, and the small-scale fading remains unchanged in the transmission of a frame of information, but changes between...

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Abstract

The invention belongs to the technical field of wireless communication, and relates to a design method of a cellular mobile communication system receiver based on a neural network. The technical solution proposed by the present invention is different from the traditional solution in that the receiver not only uses pilot symbols for channel estimation, but also facilitates data symbols for channel estimation. Compared with the traditional method, the method of combining the pilot frequency and data adopted in the present invention can reduce the pilot frequency pollution effect caused by the non-orthogonal pilot sequence to a certain extent, and improve the bit error rate performance of the receiving end.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to a design method of a cellular mobile communication system receiver based on a neural network. Background technique [0002] With the development of cellular mobile communication technology, researchers have proposed a multiple-input multiple-output (Multiple-Input Multiple-Output, MIMO) system, that is, a certain number of antennas are configured at both ends of the transceiver to obtain a higher data transmission rate and system Reliability, and the performance increases synchronously with the number of antennas. In 2010, the MIMO system equipped with hundreds of antennas at the base station proposed by Thomas L. Marzetta was called Massive MIMO, and then the Massive MIMO system was incorporated into the key technology of the 5G mobile communication system. However, the Massive MIMO system also faces many practical problems, the most important of which is that due ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L25/02H04B7/08G06N3/08G06N3/04
CPCH04L25/0228H04L25/0254H04B7/08G06N3/084G06N3/045
Inventor 梁应敞贾浩楠
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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