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Two-dimensional vacant code index modulation method based on machine learning

A technology of index modulation and machine learning, applied in modulation carrier system, carrier modulation, space transmit diversity, etc., it can solve the problems of complex detection at the receiving end, no fusion of artificial intelligence technology, and few two-dimensional index modulation technologies.

Active Publication Date: 2019-07-30
CHONGQING LINFEI ELECTRONICS TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are not many research results on two-dimensional index modulation technology, and there is no research result on the integration of artificial intelligence technology into two-dimensional index modulation technology
include figure 1 In the existing technology, there are problems such as complex detection at the receiving end

Method used

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  • Two-dimensional vacant code index modulation method based on machine learning
  • Two-dimensional vacant code index modulation method based on machine learning
  • Two-dimensional vacant code index modulation method based on machine learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0109] see figure 2 , a two-dimensional space code index modulation method based on machine learning, mainly includes the following steps:

[0110] 1) Build a MIMO communication system.

[0111] The communication system mainly includes a transmitting end and a receiving end. The information sent by the transmitter is denoted as sent information bits u.

[0112] The number of transmitting antennas at the transmitting end is denoted as N t , the number of receiving antennas at the receiving end is denoted as N r .

[0113] The number of antennas contained in the selected optimal antenna subset is denoted as n t .

[0114] The channel matrix of the communication system is denoted as H.

[0115] In the communication system, the dimension of the PN code group is denoted as N c .

[0116] The modulation order of the baseband modulation in the communication system is denoted as M.

[0117] 2) Perform serial-to-parallel conversion on the transmitted information bit u at the...

Embodiment 2

[0192] A two-dimensional space code index modulation method based on machine learning, mainly comprising the following steps:

[0193] 1) Build a communication system.

[0194] The communication system mainly includes a transmitting end and a receiving end. The information sent by the transmitter is denoted as sent information bits u.

[0195] The number of transmitting antennas at the transmitting end is denoted as N t , the number of receiving antennas at the receiving end is denoted as N r .

[0196] The number of antennas contained in the selected optimal antenna subset is denoted as n t .

[0197] The channel matrix of the communication system is denoted as H.

[0198] In the communication system, the dimension of the PN code group is denoted as N c .

[0199] The modulation order of the baseband modulation in the communication system is denoted as M.

[0200] The system configuration is denoted as (N t , n t , N r , N c , M).

[0201] In this example, set N...

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Abstract

The invention discloses a two-dimensional vacant code index modulation method based on machine learning. The two-dimensional vacant code index modulation method mainly comprises the following steps of1) carrying out serial-parallel conversion on the sending information bits u of a transmitting end; 2) establishing an optimal antenna subset based on an SVM, and constructing a label and antenna combination mapping table; 3) carrying out symbol modulation and index modulation on the sending information bit u after serial-parallel conversion, thereby determining a transmitting antenna, a modulation symbol and a spread spectrum PN code; 4) performing spread spectrum on the modulation symbol, and transmitting the spread spectrum to a receiving end; and 5) using the receiving end to receive thespread spectrum signal and perform the correlation characteristic detection on the spread spectrum signal; 6) performing estimation detection on the despread signal by using the CNN; and 7) demodulating and demapping the estimated demodulation symbol and antenna with the PN code index value so as to restore the source information bit. According to the method, the advantages of a spread spectrum technology in spatial modulation and code index modulation are combined, the multi-antenna channel link resources are utilized, and due to the fact that the spread spectrum technology is used, the method has certain anti-interference and anti-multipath capacity.

Description

technical field [0001] The invention relates to the technical field of high-speed wireless communication, in particular to a two-dimensional space code index modulation method based on machine learning. Background technique [0002] From the 1970s to the present, the wireless communication system has developed by leaps and bounds, from the first generation analog communication system (First Generation, 1G) to the widely used fourth generation mobile communication system (4thGeneration, 4G). The transmission rate has been qualitatively improved. People's demand has also gradually changed from the demand for voice and information transmission to the demand for multimedia big data transmission such as video and images. In recent years, in order to promote the development of Internet of Things technology, Internet of Vehicles technology and smart home technology, people The fifth generation mobile communication system (5th Generation, 5G) has also emerged as the times require. ...

Claims

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Application Information

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IPC IPC(8): H04B7/06H04L27/00H04B1/69
CPCH04B7/0608H04L27/0014H04B1/69H04L2027/0083H04L2027/0024
Inventor 钟涛冯胜葛利嘉
Owner CHONGQING LINFEI ELECTRONICS TECH CO LTD
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