Method and device for estimating buffer requirement of wireless optical communication ARQ system

Abstract

The present application relates to wireless optical communication error control technical field, disclose a kind of automatic repeat request (ARQ) system buffer size requirement estimation method, the method includes the following steps: (1) selecting suitable turbulence model, determining atmospheric turbulence refractive index structure constant, calculate turbulence model parameter in combination with communication wavelength;(2) establish probe output electric signal channel model, according to this and turbulence related factors and system parameter calculation outage probability and error rate;(3) respectively according to outage probability, error rate calculation respective required buffer size;(4) the outage probability, error rate, communication rate and ARQ feedback retransmission mechanism calculate buffer space size.The buffer size estimation method disclosed in the present application based on turbulence model and output signal model provides theoretical basis for the buffer estimation of wireless optical communication ARQ system design.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of space optical communication, and particularly relates to a method for estimating the size of the automatic repeat request (ARQ) information buffer space according to the communication interruption and error probability caused by turbulence, so as to ensure the need and not waste resources and increase the cost of the system. BACKGROUND

[0002] With the rapid development of communication technology, wireless optical communication as a high-speed and high-capacity communication mode has attracted widespread attention. However, in the practical application of wireless optical communication, atmospheric turbulence seriously affects the communication quality. Atmospheric turbulence can cause communication interruption and high error rate, which has become one of the key factors restricting the performance improvement of the wireless optical communication system.

[0003] Because atmospheric turbulence can cause burst errors, single channel coding and interleaving technology cannot solve this long burst error problem, and a buffer and automatic repeat request (ARQ) mechanism must be used. The ARQ protocol ensures reliable transmission of data by requesting the sender to resend the data when the receiver detects an error or lost data packet. However, the effective operation of the ARQ mechanism depends on sufficient buffer space. When communication is interrupted or the error rate is too high to communicate normally due to turbulence, the system needs to buffer the information to be transmitted and continue transmission after the communication conditions are restored.

[0004] At present, the existing technology has obvious deficiencies in estimating the buffer demand of the wireless optical communication ARQ system. The traditional method often lacks comprehensive consideration of the relationship between the turbulence model, turbulence parameters and buffer demand, resulting in inaccurate estimation of the buffer size. This inaccuracy can cause a series of problems. If the buffer space is too small, it may not be able to store the information to be transmitted completely during communication interruption or high error rate, causing data loss; if the buffer space is too large, it will cause resource waste, increase the system cost and complexity. Therefore, the present application provides a method for estimating the buffer demand of the wireless optical communication ARQ system to solve the problem of accurately and efficiently estimating the buffer demand of the wireless optical communication ARQ system, so as to optimize the system performance and improve the reliability of data transmission and resource utilization. SUMMARY

[0005] In view of the problem of communication interruption and high error rate caused by turbulence in space optical communication, it is generally believed that using the ARQ mechanism is a good way to resist turbulence, and the ARQ protocol requires a large amount of buffer to store information when communication is interrupted or the error rate is too high to communicate. The present application provides an effective method for estimating the size of the buffer to meet the needs of system design, and the main innovations are as follows:

[0006] (1) A quantitative relationship model is established between the cache space required by the ARQ system and the turbulence model, turbulence parameters, and the system information transmission rate in order to calculate the size of the cache space; the statistical characteristics of the turbulence model (interruption probability, bit error rate) and the system designed information transmission rate, transmission power, etc. are used to estimate the system cache size.

[0007] (2) Based on the established model, optimize the relationship between information transmission rate, channel coding and signal power.

[0008] The technical solution adopted by the present invention is a method for estimating the buffer requirement size of a wireless optical communication ARQ system. The specific estimation process includes the following steps:

[0009] Step 1: Select a suitable turbulence model;

[0010] Step 2: Determine the refractive index structure constant of atmospheric turbulence

[0011] Step 3, according to the refractive index structure constant and the wavelength of communications to calculate the model parameters of turbulence;

[0012] Step 4: Establish a channel model for the detector output electrical signal;

[0013] Step 5: Calculate the communication interruption probability based on the turbulence model, turbulence parameters, and optical communication system parameters;

[0014] Step 6: Calculate the buffer size required for interruption based on the interruption probability caused by turbulence;

[0015] Step 7, calculating the communication bit error rate based on the channel model and optical communication system parameters;

[0016] Step 8: Calculate the storage size required for the ARQ protocol buffer based on the bit error rate.

[0017] Step 9: Calculate the size of the buffer space based on the interruption probability, bit error rate, communication rate, and ARQ feedback retransmission mechanism.

[0018] Furthermore, in the step of selecting an appropriate turbulence model, the selection criteria include, but are not limited to, communication environment characteristics and turbulence intensity distribution information. The turbulence model in step 1 can be the logarithmic Weber model (EW). Turbulence causes light intensity flickering. The probability density (PDF) f(I) and distribution function (CDF) F(I) of light intensity I are as follows:

[0019]

[0020] The parameters α and β are the shape parameters of the model, and η is the scale parameter.

[0021] Further, the atmospheric turbulence refractive index structure constant in step 2 The measurement can be made by corresponding instruments, and the determination method includes using professional atmospheric optical measurement instruments or analysis and calculation methods based on existing environmental data.

[0022] Further, the channel model in step 3 considers the performance parameters of the detector, the optical signal transmission characteristics, and the influence of turbulence on the signal; the turbulence parameters α, β and η can be calculated by the optical communication system parameters and the refractive index structure constant The calculation formula is as follows:

[0023]

[0024] where D is the receiving aperture, is the refractive index structure constant, is the wave number, λ is the wavelength of the communication light, and L is the communication distance.

[0025]

[0026] where is the optical intensity scintillation index, E[·] represents the mathematical expectation.

[0027]

[0028] where Γ(·) is the gamma function,

[0029] Further, the calculation method of the output electrical signal model in step 4 is based on the combination of probability statistics theory and optical communication transmission theory, and can be expressed as:

[0030] y = ρIx + n

[0031] In binary on-off keying (OOK) modulation, x represents the transmitted baseband signal, that is, x takes a low level or a high level (0 or 1); I is the input light intensity of the receiving detector; ρ represents the photoelectric conversion efficiency of the detector; n is the thermal noise generated by the system, which is subject to a Gaussian distribution with a mean of 0 and a power of N0 / 2, N0 representing the noise power; y represents the electrical signal output by the detector. The signal-to-noise ratio of the detector output can be expressed as

[0032] Further, in step 5, according to the turbulence model, the turbulence parameters, and the system parameters of the communication, the calculation process considers the expected values of the communication data volume, the data transmission rate, and the interruption duration, and the interruption probability P outage can be calculated as follows:

[0033]

[0034] where P() is the probability of some event, the outage threshold represents the number of dB below the average irradiance, where, without loss of generality, the light intensity is normalized to the average value, i.e. = 1. That is, the light intensity threshold

[0035] Further, the buffer size required for storing the interruption data in step 6 can be calculated as follows: assuming the communication rate is r, the required buffer size in a time T is

[0036] M outage = rTP outage

[0037] The calculation process takes into account the communication data volume, data transmission rate and the expected value of interruption duration.

[0038] Further, in step 7, the bit error rate P e of the communication is calculated according to the channel model and the parameters of the optical communication system as follows:

[0039]

[0040] where erfc(·) is the complementary error function, f(I) is the probability density of the light intensity represented in step 1, and SNR0is the signal-to-noise ratio without turbulence, and the calculation formula is

[0041] SNR0= 2pP / N0

[0042] P is the optical power of the receiver, which can be estimated by the system parameters. The above calculation method combines the influence of turbulence on the modulation of optical signals and the channel coding characteristics

[0043] Further, the buffer storage size required due to errors in step 8 can be calculated as follows: assuming the communication rate is r, the data packet length is L bits, and the number of error bits in a time T is rTP e , then the maximum value of the required buffer size in this time is rTP e L bits, and the average value is (1 + rTP e )L / 2 bits. The buffer storage size calculation takes into account the ARQ protocol type, retransmission strategy and error correction capability

[0044] Further, in step 9, according to the interruption probability, the bit error rate, the communication rate and the ARQ feedback retransmission mechanism, the size of the buffer space should be M = rTP outage + rTP e L bits. The calculation takes into account the simultaneous occurrence of interruption and error and the dynamic change of buffer requirements under different ARQ feedback retransmission mechanisms.

[0045] The application also provides an estimation device for buffer requirement of a wireless optical communication ARQ system, which comprises a processor and a memory.

[0046] Compared with the prior art, the application has the following advantages and beneficial effects:

[0047] 1. The application establishes a quantitative relationship model of buffer space size and turbulence model, turbulence parameters, channel model and communication system parameters, which can accurately calculate the buffer size. This method avoids the disadvantages of insufficient buffer leading to communication interruption and data loss or excessive buffer wasting resources, ensures communication continuity and stability, optimizes resource allocation and reduces system cost.

[0048] 2. The application deduces the qualitative and quantitative relationship of buffer size and turbulence model parameters, interruption probability, channel model, error rate and communication rate. When calculating the buffer required for interruption, the interruption duration and the buffer size caused by interruption are estimated according to the interruption probability caused by turbulence, communication rate and communication time, to ensure that the data is temporarily stored in the buffer during the interruption period. When calculating the error-related buffer, the buffer allocation is optimized according to the error rate, data packet length and communication time. This method avoids the disadvantages of inaccurate buffer caused by one-sided attention to a single factor, and ensures that the buffer resources accurately meet the needs in complex communication.

[0049] 3. The estimation method provided by the application is simple and effective, and does not occupy too much system calculation overhead. The buffer size can be adjusted dynamically according to the channel state and communication rate, avoiding large-scale architecture adjustment and cost overhead, and providing a practical foundation for the stable and efficient operation of the wireless optical communication ARQ system in multiple scenarios. BRIEF DESCRIPTION OF DRAWINGS

[0050] Figure 1 The application provides a flowchart of the estimation method for buffer requirement of a wireless optical communication ARQ system. DETAILED DESCRIPTION

[0051] The technical solutions in the embodiments of the application will be described clearly and completely in conjunction with the accompanying drawings of the application. It should be noted that the embodiments described herein are only a part of the embodiments of the application, and do not cover all the embodiments. Based on these embodiments of the application, all other embodiments obtained by those skilled in the art without creative labor should be included in the scope of the application.

[0052] It should be particularly pointed out that in the absence of mutual conflict, the embodiments of the present application and the features in the embodiments can be combined with each other. The present application will be further explained in conjunction with the specific embodiments and the accompanying drawings, but this explanation should not be regarded as a limitation of the present application.

[0053] The present application includes an estimation method of buffer size requirement of a wireless optical communication ARQ system, as shown in Figure 1 The specific estimation process includes the following steps:

[0054] Step 1, selecting a suitable turbulence model;

[0055] Step 2, measuring the refractive index structure constant of atmospheric turbulence

[0056] Step 3, calculating the model parameters of turbulence according to the refractive index structure constant and the wavelength of communication;

[0057] Step 4, establishing the channel model of the output electrical signal of the detector;

[0058] Step 5, calculating the communication interruption probability according to the turbulence model, turbulence parameters and system parameters of optical communication;

[0059] Step 6, calculating the buffer size required for interruption according to the interruption probability caused by turbulence;

[0060] Step 7, calculating the bit error rate of communication according to the channel model and the system parameters of optical communication;

[0061] Step 8, calculating the storage size required for ARQ protocol according to the bit error rate;

[0062] Step 9, calculating the size of the buffer space according to the interruption probability, the bit error rate, the communication rate and the ARQ feedback retransmission mechanism.

[0063] Further, the turbulence model of step 1 can select the log-Weibull model (EW), and the probability density (PDF) f(I) and the distribution function (CDF) F(I) of the light intensity I caused by turbulence are as follows:

[0064]

[0065] Wherein, the parameters α and β are the shape parameters of the model, and η is the scale parameter.

[0066] Further, the refractive index structure constant of atmospheric turbulence in step 2 can be measured by corresponding instruments.

[0067] Further, the turbulence parameters a, β and η in step 3 can be calculated by the optical communication system parameters and the refractive index structure constant The calculation is as follows:

[0068]

[0069] where D is the receiving aperture, is the refractive index structure constant, is the wave number, λ is the wavelength of the communication light, and L is the communication distance.

[0070]

[0071] where is the scintillation index of the optical intensity, where Γ(·) is the gamma function,

[0072]

[0073] Further, the output electrical signal model in step 4 can be expressed as

[0074] y = ρIx + n

[0075] In binary on-off keying (OOK) modulation, x represents the transmitted baseband signal, i.e., x takes a low or high value (0 or 1); I is the input optical intensity of the receiving detector; p represents the photoelectric conversion efficiency of the detector; n is the thermal noise generated by the system, which is subject to a Gaussian distribution with a mean of 0 and a power of N0 / 2; y represents the electrical signal output by the detector. The output signal-to-noise ratio of the detector can be expressed as

[0076] Further, the outage probability P outage in step 5 can be calculated as follows

[0077]

[0078] where P() is the probability of an event, and the outage threshold represents the dB number below the average irradiance, where, without loss of generality, the optical intensity is normalized to the average value, i.e. = 1.

[0079] i.e. light intensity threshold

[0080] Further, the buffer size required for storing the interruption data in step 6 can be calculated as follows: assuming the communication rate is r, in a time period T, the required buffer size is:

[0081] M outage = rTP outage

[0082] Further, in step 7, the method for calculating the error rate P e of the communication according to the channel model and the parameters of the optical communication system is as follows:

[0083]

[0084] where erfc(·) is the error complementary function, f(I) is the probability density of the light intensity represented by formula (1) in step 1, and SNR0is the signal-to-noise ratio without turbulence, and the calculation formula is:

[0085] SNR0= 2pP / N0

[0086] P is the optical power of the receiver, which can be estimated by the system parameters.

[0087] Further, the buffer size required due to errors in step 8 can be calculated as follows: assuming the communication rate is r, and the data packet length is L bits, in a time period T, the number of error bits is rTP e , then the maximum value of the required buffer size in this time period is rTP e L bits, and the average value is (1 + rTP e )L / 2 bits.

[0088] Further, in step 9, according to the interruption probability, the error rate, the communication rate, and the ARQ feedback retransmission mechanism, the size of the buffer space should be M = rTP outage + rTP e L bits.

[0089] Example 1: Buffer requirement estimation based on weak turbulence model

[0090] The parameters of the wireless optical communication system used in this embodiment are as shown in the parameter table of Example 1:

[0091] Table 1: Parameter table of Example 1

[0092]

[0093] The working wavelength is λ = 780 nm, the communication distance is L = 1 km, the communication rate is r = 1 Gbps, the receiving aperture is D = 100 mm, the outage threshold F T = 1 dB, the turbulence refractive index structure constant The data packet length is l n = 12000 bit, and the specific calculation steps of the buffer requirement size under the above parameters are as follows:

[0094] Step 1, selecting a turbulence model;

[0095] In this embodiment, the log-Weibull (EW) model is selected as the turbulence model. This model has a clear description of the probability density function (PDF) and the cumulative distribution function (CDF) of light intensity flicker, and is suitable for weak turbulence conditions. The probability density (PDF) f(I) and the distribution function (CDF) F(I) of light intensity I caused by turbulence are as follows:

[0096]

[0097] Wherein, the parameters α and β are shape parameters of the model, and η is a scale parameter.

[0098] Step 2, determining the turbulence refractive index structure constant

[0099] The turbulence refractive index structure constant is measured by a known instrument, and is set to

[0100]

[0101] Step 3, calculating the shape parameters α and β and the scale parameter η of the turbulence;

[0102] According to the turbulence model and the communication system parameters, the shape parameters α and β and the scale parameter η of the turbulence are calculated. The formula is as follows:

[0103]

[0104]

[0105] Wherein, D is the receiving aperture, is the refractive index structure constant, is the wave number, λ is the wavelength of the communication light, and L is the communication distance. Wherein is the light intensity flicker index, wherein Γ(·) is the gamma function,

[0106] According to the parameters in the parameter table of embodiment 1, the wavelength is λ = 780 nm, the distance is L = 1 km, the receiving aperture is D = 100 mm, and the turbulence refractive index structure constant According to the model and experience, the values ​​are:

[0107] α≈1.84

[0108] β≈7.11

[0109] η≈0.99

[0110] Step 4: Establish a channel model;

[0111] In a binary on-off keying (OOK) modulation system, the output electrical signal y at the receiving end is expressed as:

[0112] y=ρIx+n

[0113] Where x represents the baseband signal sent, I is the input light intensity of the receiving detector; ρ represents the photoelectric conversion efficiency of the detector; n is the thermal noise generated by the system, which obeys a Gaussian distribution with a mean of 0 and a power of N0 / 2; the detector output signal-to-noise ratio can be expressed as

[0114] Step 5: Calculate the interruption probability. According to the turbulence model, turbulence parameters and communication system parameters, the interruption probability P outage It can be calculated as follows:

[0115]

[0116] Where P() is the probability of an event occurring, and the interruption threshold represents the number of dB below the average irradiance, where, without loss of generality, the light intensity is normalized to the average value, i.e. = 1.

[0117] i.e. light intensity threshold

[0118] According to the parameters in the parameter table of embodiment 1, when F T = 1 dB, a ~ 1.84, β ~ 7.11, η ~ 0.99, we have

[0119]

[0120] Step 6, calculate the interrupt buffer size; according to the interrupt probability caused by turbulence, calculate the buffer size required for interruption; the buffer size required for storing interrupt data can be calculated according to the following method: assuming that the communication rate is r, in a period of time T, the required buffer size is

[0121] M outage = rTP outage

[0122] According to the communication rate r = 1 Gbps, the interruption time T = 1 s, and the interruption probability P outage ~ 0.0464, we have: M outage ~ 1 x 10 9 x 1 x 0.0464 bits ~ 5.8 MB.

[0123] Step 7, calculate the error rate and error code buffer size; according to the channel model and the parameters of the optical communication system, calculate the error rate P e of the communication as follows:

[0124]

[0125] where erfc(·) is the error complement function, f(I) is the probability density of light intensity represented in step 1, SNR0is the signal-to-noise ratio without turbulence, and the calculation formula is

[0126] SNR0= 2pP / N0

[0127] P is the optical power of the receiver, which can be estimated by system parameters.

[0128] According to the model and empirical values, when SNR0= 10 dB, the error rate P e = 4.3 x 10 -5

[0129] Step 8, calculate the buffer size required by the ARQ protocol; according to the error rate, calculate the storage size required by the ARQ protocol; since the buffer size required by the error can be calculated according to the following method: assuming that the communication rate is r, the data packet length is l n bits, in a period of time T, the number of error bits is rTP e , the maximum value of the required buffer size in this period of time is rTP e l n bits, and the average value is (1+rTP e )l n / 2 bits.

[0130] According to the parameters in the parameter table of Embodiment 1, the data packet length is l n =12000 bits, and the maximum value of the required buffer size is rTP e l n =1x10 9 x1x4.3x10 -5 x12000bit≈64.5MB, and the average value is

[0131] Step 9, according to the interruption probability, the bit error rate, the communication rate and the ARQ feedback retransmission mechanism, the size of the buffer space is calculated; according to the parameters in the parameter table of Embodiment 1, according to the interruption probability, the bit error rate, the communication rate and the ARQ feedback retransmission mechanism, the size of the buffer space should be calculated as:

[0132] M=rTP outage +rTP e l n ≈5.8MB+64.5MB=70.3MB

[0133] In the traditional wireless optical communication ARQ system, the buffer size is the size of all data segments, that is, rT. The estimation method provided by the present application calculates the size of the buffer space as rTP outage +rTP e l n . Compared with the traditional buffer method, there is a buffer optimization gain of times, wherein is related to the turbulence model, the turbulence parameters and the communication system parameters, and the buffer optimization gain value is greater than 1 according to the empirical value.

[0134] On the other hand, the embodiment of the present application also provides an estimation device for buffer requirement of a wireless optical communication ARQ system, which comprises a processor and a memory, the memory is used for storing program instructions, and the processor is used for calling the storage instructions in the memory to execute the estimation method for buffer requirement of a wireless optical communication ARQ system as described in the above technical solution.

[0135] In summary, the above specific embodiments are only implementation cases of the present application under certain conditions, and are not used to limit the protection scope of the present application. Any modification, equivalent replacement, improvement and the like performed on the premise of following the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. A method for estimating buffer requirements of an ARQ system for wireless optical communication, characterized in that: The following steps are involved: Step 1: Select a suitable turbulence model; Step 2: Determine the refractive index structure constant of atmospheric turbulence Step 3, according to the refractive index structure constant and the wavelength of the communication to calculate the turbulence model parameters; Step 4: Establish a channel model for the detector output electrical signal; Step 5: Calculate the communication interruption probability based on the turbulence model, turbulence model parameters, and optical communication system parameters; Step 6: Calculate the buffer size required for interruption based on the interruption probability caused by turbulence; Step 7, calculating the communication bit error rate based on the channel model and optical communication system parameters; Step 8: Calculate the storage size required for the ARQ protocol buffer based on the bit error rate. Step 9: Calculate the size of the buffer space based on the interruption probability, bit error rate, communication rate, and ARQ feedback retransmission mechanism.

2. The method for estimating buffer requirements of an ARQ system for wireless optical communication according to claim 1, wherein: In step 1, the turbulence model is selected as the logarithmic Weber model based on the characteristics of the communication environment and the turbulence intensity distribution information. Turbulence causes light intensity flickering. The probability density f(I) and distribution function F(I) of the light intensity I are as follows: The parameters α and β are the shape parameters of the model, and η is the scale parameter.

3. The method for estimating buffer requirements of an ARQ system for wireless optical communication according to claim 1, wherein: The turbulence model parameters in step 3 include the shape parameters α, β and scale parameter η of the model, which are obtained by the optical communication system parameters and the refractive index structure constant. Calculation is performed, and the calculation formula is as follows: Where D is the receiving aperture, is the refractive index structure constant, is the wave number, λ is the wavelength of the communication light wave, and L is the communication distance; in is the light intensity flicker index, I is the light intensity, and E[·] represents the mathematical expectation; where Γ(·) is the gamma function, 4. The method for estimating buffer requirements of a wireless optical communication ARQ system according to claim 1, wherein: The channel model of the output electrical signal in step 4 is affected by the performance parameters of the detector, the transmission characteristics of the optical signal, and the influence of turbulence on the signal, and is expressed as: y=ρIx+n In binary on-off keying modulation, x represents the transmitted baseband signal, I is the input light intensity of the receiving detector; ρ represents the photoelectric conversion efficiency of the detector; n is the thermal noise generated by the system, which obeys a Gaussian distribution with a mean of 0 and a power of N0 / 2, and N0 represents the noise power; y represents the electrical signal output by the detector; the detector output signal-to-noise ratio is expressed as 5. The method for estimating buffer requirements of a wireless optical communication ARQ system according to claim 1, wherein: In step 5, the interruption probability P is calculated based on the turbulence model, turbulence model parameters and communication system parameters, based on the combination of probability statistics theory and optical communication transmission theory. outage , the calculation formula is as follows: Among them, P() is the probability of an event occurring, and the interruption threshold represents the number of dB below the average irradiance, and I is the light intensity, where, without loss of generality, the light intensity data are normalized to the average value, i.e. =1, light intensity threshold α and β are the shape parameters of the turbulence model, and η is the scale parameter.

6. The method for estimating buffer requirements of a wireless optical communication ARQ system according to claim 1, wherein: In step 6, the cache size is calculated based on the expected value of the communication data volume, data transmission rate, and interruption duration. Assuming the communication rate is r, the required cache size within a period of time T is: M outage =rTP outage； P outage is the interruption probability.

7. The method for estimating buffer requirements of a wireless optical communication ARQ system according to claim 1, wherein: In step 7, the communication bit error rate P is calculated based on the channel model and the optical communication system parameters. e The method is as follows: where erfc(·) is the error complement function, f(I) is the probability density of light intensity I, and SNR0 is the signal-to-noise ratio in the absence of turbulence. The calculation formula is: SNR0=2ρP / N0 P is the optical power of the receiver, estimated by the system parameters, N0 represents the noise power, and ρ represents the photoelectric conversion efficiency of the detector.

8. The method for estimating buffer requirements of a wireless optical communication ARQ system according to claim 1, wherein: The buffer storage size required due to bit errors in step 8 is calculated as follows: Let the communication rate be r, the packet length be L bits, and the number of error bits in a period of time T be rTP e , the maximum buffer size required during this period is rTP e L bits, the average value is (1+rTP e )L / 2 bits.

9. The method for estimating buffer requirements of a wireless optical communication ARQ system according to claim 1, wherein: In step 9, the size of the buffer space is calculated as M = rTP based on the interruption probability, bit error rate, communication rate and ARQ feedback retransmission mechanism. outage +rTP e L bits.

10. A device for estimating buffer requirements of an ARQ system for wireless optical communication, characterized by: The system comprises a processor and a memory, wherein the memory is used to store program instructions, and the processor is used to call the stored instructions in the memory to execute the method for estimating buffer requirements of a wireless optical communication ARQ system according to any one of claims 1 to 9.

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