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Cellular mobile communication system receiver design method based on neural network

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, unable to 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: 2019-11-08
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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  • Cellular mobile communication system receiver design method based on neural network
  • Cellular mobile communication system receiver design method based on neural network
  • Cellular mobile communication system receiver design method based on neural network

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Embodiment Construction

[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. like 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 di...

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Abstract

The invention belongs to the technical field of wireless communication, and relates to a cellular mobile communication system receiver design method based on a neural network. Compared with the traditional scheme, the technical scheme provided by the invention is characterized in that the receiver not only uses the pilot symbol to carry out channel estimation, but also is beneficial to carrying out channel estimation on the data symbol. Compared with the traditional method, the pilot frequency and data combination method adopted in the invention can reduce the pilot frequency pollution effectcaused by non-orthogonality of the pilot frequency sequence to a certain extent, and improves 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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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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