CN116647309A - Self-adaptive adjustment method for coding compression quality of joint channel quality - Google Patents

Self-adaptive adjustment method for coding compression quality of joint channel quality Download PDF

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Publication number
CN116647309A
CN116647309A CN202310719796.5A CN202310719796A CN116647309A CN 116647309 A CN116647309 A CN 116647309A CN 202310719796 A CN202310719796 A CN 202310719796A CN 116647309 A CN116647309 A CN 116647309A
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signal
noise ratio
modulation mode
value
channel
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CN202310719796.5A
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霍李
郑三江
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Shiwei Innovation Technology Shenzhen Co ltd
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Shiwei Innovation Technology Shenzhen Co ltd
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Priority to CN202310719796.5A priority Critical patent/CN116647309A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/0001Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0014Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the source coding
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/0001Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0015Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the adaptation strategy
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/0001Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0023Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the signalling
    • H04L1/0026Transmission of channel quality indication
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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  • Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Digital Transmission Methods That Use Modulated Carrier Waves (AREA)

Abstract

The invention discloses a self-adaptive adjustment method of coding compression quality of joint channel quality, which comprises the steps of comparing an obtained signal-to-noise ratio value with a threshold value and selecting a proper modulation mode according to the signal-to-noise ratio value and the threshold value, wherein the signal-to-noise ratio is calculated from a wireless channel fed back from a wireless receiver; the invention can improve the throughput of wireless transmission and simultaneously improve the stability and quality of video transmission by adjusting the modulation mode of source coding in real time through the signal-to-noise ratio.

Description

Self-adaptive adjustment method for coding compression quality of joint channel quality
Technical Field
The invention relates to the field of wireless video transmission, in particular to a self-adaptive adjustment method for coding compression quality of joint channel quality.
Background
Along with the development of network information technology and modern communication technology, the demand of human beings for multimedia communication has also evolved from single voice communication to a complex of various forms such as images, data, video and the like. Compared with the voice signal, the video stream signal has the characteristics of large information quantity, required transmission frequency bandwidth, large correlation of each pixel and large redundancy, so that the transmission of the multimedia information faces a great test of limited communication resources.
In general, communication channels have bandwidth limitations, and multimedia sources contain much redundant information. Thus, source coding becomes an essential component of a communication system in order to efficiently use channel resources. Source coding utilizes entropy coding, predictive coding, transform coding, and other techniques to remove various redundancies in the source, such as statistical redundancy, spatial redundancy, temporal redundancy, and visual redundancy. However, source information with little or no redundancy is very sensitive to channel noise, and even single bit errors can lead to catastrophic information corruption of the entire code stream. Therefore, in communication systems, channel coding is important to protect information from channel noise during transmission by introducing controlled redundancy.
In the field of wireless video transmission, since the previous system schemes are all encoding of a signal source, the quality and the compression ratio of compression are adjusted by itself according to the complexity of the signal source. The signal environment of wireless transmission is a time-varying channel, and the degradation of the wireless transmission channel may be caused under different time and noise interference conditions. Once the radio transmission channel has deteriorated, the error rate of the transmission increases significantly. Therefore, the video transmitted at the moment cannot normally display the video picture with mosaic, and even cannot be displayed directly.
Disclosure of Invention
In order to solve the problems of the prior art that the wireless transmission has the signal environment worsening at any time, the error rate is high and the video quality is unstable, the invention provides the following technical scheme: an adaptive adjustment method for coding compression quality of joint channel quality, comprising the following steps:
feeding back the signal-to-noise value calculated by the wireless channel from the wireless receiver;
the source coding end compares the obtained signal-to-noise value with a preset threshold value Q1, if the signal-to-noise value is smaller than or equal to Q1, the channel quality is poor, and the physical layer modulation mode is adjusted to QPSK/BPSK;
the source coding end compares the obtained signal-to-noise value with a preset threshold value Q2, if the signal-to-noise value is larger than Q1 and smaller than Q2, the channel quality is medium, and the physical layer modulation mode is adjusted to be 16QAM;
the source coding end compares the obtained signal-to-noise value with a preset threshold value Q3, if the signal-to-noise value is larger than or equal to Q3, the channel quality is excellent, and the modulation mode of the physical layer is adjusted to 64QAM;
q1, Q2, Q3 represent that the threshold value setting of the signal to noise ratio under the corresponding modulation mode is correspondingly set according to the lowest demodulation threshold of the corresponding modulation mode of the wireless transmission physical layer. Ensuring that the modulation mode is adopted under the signal-to-noise ratio value to control the error rate of transmission to be 10 -4 Is a standard of (2).
Preferably, the signal to noise ratio value calculated by the radio receiver feeding back the radio channel is obtained, specifically as follows:
feeding back the signal-to-noise ratio S/N value calculated by the wireless channel from the wireless receiver every 500 ms; the formula is as follows:
S/N=2 C/W -1
where S/N represents the signal-to-noise ratio, S is the average power of the signal transmitted in the channel, N represents the gaussian noise power in the channel, C represents the limiting transmission rate of the channel, and W represents the bandwidth of the channel.
Preferably, the signal-to-noise ratio threshold Q1 is set correspondingly according to the lowest demodulation threshold of the corresponding modulation mode of the wireless transmission physical layer according to the threshold setting of the signal-to-noise ratio under the QPSK/BPSK modulation mode; ensuring that the QPSK/BPSK modulation mode is adopted under the signal-to-noise ratio value to control the bit error rate of transmission to be 10 -4 Is a standard of (2).
Preferably, the signal-to-noise ratio threshold Q2 is set correspondingly according to the lowest demodulation threshold of the corresponding modulation mode of the wireless transmission physical layer according to the threshold setting of the signal-to-noise ratio under the 16QAM modulation mode; ensuring that the 16QAM modulation mode is adopted under the signal-to-noise ratio value to control the error rate of transmission to be 10 -4 Is a standard of (2).
Preferably, the signal-to-noise ratio threshold Q3 is set correspondingly according to the lowest demodulation threshold of the corresponding modulation mode of the wireless transmission physical layer according to the threshold setting of the signal-to-noise ratio under the 64QAM modulation mode; the 64QAM modulation mode is adopted under the signal-to-noise ratio value, so that the error rate of transmission can be controlled to be 10 -4 Is a standard of (2).
Advantageous effects
The beneficial effects of the invention are as follows: the signal to noise ratio calculated by a wireless channel fed back from a wireless receiver is compared with preset thresholds Q1, Q2 and Q3, and a corresponding modulation mode is adjusted according to a comparison result; if the source coding end compares the obtained signal-to-noise value with a preset threshold value Q1, if the signal-to-noise value is not greater than Q1, the channel quality is poor, and the physical layer modulation mode is adjusted to QPSK/BPSK; the source coding end compares the obtained signal-to-noise value with a preset threshold value Q2, if the signal-to-noise value is larger than Q1 and smaller than Q2, the channel quality is medium, and the physical layer modulation mode is adjusted to be 16QAM; and comparing the obtained signal-to-noise value with a preset threshold value Q3 by the source coding end, if the signal-to-noise value is not smaller than Q3, optimizing the channel quality, and adjusting the modulation mode of the physical layer to 64QAM. The problem of video mosaic or interruption in case of deterioration of a wireless transmission channel and the high-definition video can be observed in case of improvement of the wireless transmission channel are improved.
Further, the signal-to-noise ratio of the wireless channel is used as a standard for adjusting the modulation mode, so that the function of adjusting the corresponding modulation mode is realized.
Further, the setting of Q1, Q2, and Q3 is corresponding to the setting of the threshold of the signal to noise ratio according to the corresponding modulation mode of the wireless transmission physical layer. Ensuring that the modulation mode is adopted under the signal-to-noise ratio value to control the error rate of transmission to be 10 -4 Is a standard of (2).
Drawings
FIG. 1 is a flow chart of a method for adaptively adjusting the coding compression quality of joint channel quality according to the present invention;
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The specific implementation mode is as follows:
s1, feeding back a signal-to-noise ratio S/N value calculated by a wireless channel from a wireless receiver every 500 ms; the formula is as follows:
S/N=2 C/W -1
wherein S/N represents signal-to-noise ratio, S represents average power of signals transmitted in a channel, N represents Gaussian noise power in the channel, C represents limit transmission rate of the channel, and W represents bandwidth of the channel;
further, the signal to noise ratio is expressed in decibels
Signal to noise ratio (decibel) =10log 10 (S/N)
S2, comparing the signal-to-noise ratio obtained by the source coding end with a set signal-to-noise ratio threshold Q1, and adjusting a modulation mode of a wireless transmission physical layer according to a comparison result;
if the signal-to-noise ratio is smaller than or equal to Q1, the channel condition is worse, the quality coefficient of the source coding is adjusted to be reduced, and the modulation mode of the wireless transmission physical layer is adjusted to be QPSK/BPSK at the same time;
the QPSK (quadrature phase shift keying) of the wireless transmission physical layer modulation mode is a digital modulation mode, and has higher spectrum utilization rate and anti-interference performance; it specifies four carrier phases, 45 °,135 °,225 °,315 °, one symbol representing 2 bits, to which binary sequences 00,01,10,11 input by the modulator can be associated;
wherein, BPSK represents binary phase shift keying, which is a digital modulation mode capable of avoiding fuzzy phase; it has two phases, one symbol representing 1 bit, representing the binary sequence 0,1 of the modulator input;
further, Q1 is set according to the minimum demodulation threshold corresponding to QPSK/BPSK as the wireless transmission physical layer modulation mode, so as to ensure that the transmission error rate using QPSK/BPSK modulation mode under the signal-to-noise ratio is 10 -4 Is within;
s3, judging the signal-to-noise ratio obtained by the source coding end and a set signal-to-noise ratio threshold Q2, and adjusting the modulation mode of the wireless transmission physical layer according to the comparison result;
if the signal-to-noise ratio is larger than Q1 and smaller than Q2, the channel condition is moderate, the source coding quality coefficient is adjusted to be moderate, and the modulation mode of the wireless transmission physical layer is adjusted to be 16QAM;
the wireless transmission physical layer modulation mode 16QAM represents 16 quadrature amplitude modulation, one symbol represents 4 bits, is one of the quadrature amplitude modulation, and has stronger anti-interference, anti-noise and higher frequency spectrum;
further, Q2 is set according to the minimum demodulation threshold corresponding to the 16QAM modulation mode of the wireless transmission physical layer, so as to ensure that the transmission error rate of the 16QAM modulation mode under the signal-to-noise ratio is 10 -4 Is within;
s4, comparing the signal-to-noise ratio obtained by the source coding end with a set signal-to-noise ratio threshold Q3, and adjusting the modulation mode of the wireless transmission physical layer to be according to the comparison result;
if the signal-to-noise ratio is greater than or equal to Q3, the channel condition is excellent, the channel coding quality coefficient of the information source is adjusted to be high, and the modulation mode of the wireless transmission physical layer is adjusted to be 64QAM;
the wireless transmission physical layer modulation mode 64QAM represents 64 quadrature amplitude-phase modulation, and one symbol represents 6 bits, so that the wireless transmission physical layer modulation mode has the advantages of large bandwidth and high frequency band utilization rate;
further, Q3 is set according to the lowest demodulation threshold corresponding to the 64QAM modulation mode of the wireless transmission physical layer, so as to ensure that the transmission error rate of the 64QAM modulation mode under the signal-to-noise ratio is 10 -4 Within the inner part.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (5)

1. An adaptive adjustment method for coding compression quality of joint channel quality, comprising the following steps:
the source coding end compares the obtained signal-to-noise value with a preset threshold value Q1, and if the signal-to-noise value is smaller than or equal to Q1, the physical layer modulation mode is adjusted to QPSK/BPSK;
the source coding end compares the obtained signal-to-noise value with a preset threshold value Q2, and if the signal-to-noise value is larger than Q1 and smaller than Q2, the physical layer modulation mode is adjusted to be 16QAM;
and the source coding end compares the obtained signal-to-noise value with a preset threshold value Q3, and adjusts the physical layer modulation mode to 64QAM if the signal-to-noise value is larger than or equal to Q3.
2. The adaptive adjustment method of coding compression quality of joint channel quality according to claim 1, wherein the signal to noise ratio value calculated by the wireless receiver fed back to the wireless channel is obtained, specifically as follows:
the signal to noise ratio S/N value calculated from the radio channel fed back from the radio receiver every 500ms is as follows:
S/N=2C/W-1
where S/N represents the signal-to-noise ratio, S is the average power of the signal transmitted in the channel, N represents the gaussian noise power in the channel, C represents the limiting transmission rate of the channel, and W represents the bandwidth of the channel.
3. The adaptive adjustment method for coding compression quality of joint channel quality according to claim 1, wherein a signal-to-noise ratio threshold Q1 is set;
the threshold setting of the Q1 according to the signal to noise ratio under the QPSK/BPSK modulation mode is correspondingly set according to the lowest demodulation threshold of the corresponding modulation mode of the wireless transmission physical layer.
4. The adaptive adjustment method for coding compression quality of joint channel quality according to claim 1, wherein a signal-to-noise ratio threshold Q2 is set;
the threshold setting of the Q2 according to the signal to noise ratio under the 16QAM modulation mode is correspondingly set according to the lowest demodulation threshold of the corresponding modulation mode of the wireless transmission physical layer.
5. The adaptive adjustment method for coding compression quality of joint channel quality according to claim 1, wherein a signal-to-noise ratio threshold Q3 is set;
the threshold setting of the Q3 according to the signal to noise ratio under the 64QAM modulation mode is correspondingly set according to the lowest demodulation threshold of the corresponding modulation mode of the wireless transmission physical layer.
CN202310719796.5A 2023-06-17 2023-06-17 Self-adaptive adjustment method for coding compression quality of joint channel quality Pending CN116647309A (en)

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Application Number Priority Date Filing Date Title
CN202310719796.5A CN116647309A (en) 2023-06-17 2023-06-17 Self-adaptive adjustment method for coding compression quality of joint channel quality

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310719796.5A CN116647309A (en) 2023-06-17 2023-06-17 Self-adaptive adjustment method for coding compression quality of joint channel quality

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