CN115866772A - Network bandwidth allocation method, device, medium and equipment based on intelligent lamp pole - Google Patents
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Abstract
The invention provides a network bandwidth allocation method, a device, a medium and equipment based on an intelligent lamp pole, wherein the intelligent lamp pole provides a wireless network; monitoring the service flow data of each service of a user terminal accessed to a wireless network, and calculating the Hurst parameter of the self-similar distribution of the wireless network according to the monitored service flow data of the current service; calculating the optimal bandwidth of the current service when the network quality requirement condition of the intelligent lamp pole network system is met according to the Hurst parameter; and performing bandwidth allocation for the user terminal accessed to the wireless network according to the optimal bandwidth of each service. The invention reasonably distributes the bandwidth according to the service condition of the user terminal, ensures the normal network speed of each service, simultaneously accesses the user terminal as much as possible and improves the user experience.
Description
Technical Field
The invention relates to the field of electronic technology application, in particular to a network bandwidth allocation method, device, medium and equipment based on an intelligent lamp post.
Background
The intelligent lamp pole is based on a lamp pole and carries traffic road facilities with multiple functions of display, illumination, video monitoring, one-key alarm, base station, well lid monitoring, environmental sensor, charging pile and the like. Besides, the wisdom lamp pole still carries the little basic station of 4G/5G to and wireless WIFI covers. The wide and dense distribution characteristics of the lamp posts are utilized, and large-range, high-speed and reliable WIFI coverage service can be provided.
The intelligent lamp pole is usually arranged in places such as a highway, a park and a community road, the people flow in the places is dense, the mobility of people is large, a user has a bee-crowded access network in the peak period of the people flow on the road, network congestion is caused, the network speed is low, and the user experience is influenced. Therefore, the current intelligent lamp pole needs to be improved in the aspect of providing wireless network services.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method, an apparatus, a medium, and a device for network bandwidth allocation based on a smart light pole, which solve the problem of poor network service of the smart light pole in the prior art.
The invention discloses a network bandwidth allocation method based on an intelligent lamp post, wherein the intelligent lamp post is provided with a wireless network module for providing a wireless network, the network bandwidth allocation method comprises the following steps,
when detecting that a plurality of user terminals enter a network coverage area of the wireless network, determining the user terminals meeting the wireless network access condition, and accessing the user terminals meeting the access condition to the wireless network;
monitoring the service flow data of each service of a user terminal accessed to the wireless network, and calculating the Hurst parameter of the wireless network self-similar distribution according to the monitored service flow data of the current service;
calculating the optimal bandwidth of the current service when the optimal bandwidth meets the network quality requirement conditions of the intelligent lamp post network system according to the Hurst parameters, wherein the network quality requirement conditions comprise network overflow, time delay and jitter conditions;
and performing bandwidth allocation for the user terminal accessed to the wireless network according to the optimal bandwidth of each service.
Further, in the method for allocating network bandwidth, the step of determining the ue that satisfies the wireless network access condition includes:
determining the target number of user terminals which can be accessed to the wireless network currently;
when the number of the currently detected user terminals is larger than the target number, identifying the identity type of each user terminal, and determining the corresponding priority according to the identity type of each user terminal, wherein the identity types comprise an active user, a reserved user and a newly added user, and the priorities of the active user, the reserved user and the newly added user are sequentially reduced;
and selecting a target number of user terminals according to the priority order of each user terminal, and taking the selected user terminals as the user terminals meeting the wireless network access conditions.
Further, in the method for allocating network bandwidth, the step of calculating the Hurst parameter of the wireless network self-similar distribution according to the monitored traffic data of the current service includes:
dividing the monitored service flow data of the current service into a plurality of disjoint subsequences with the length of n, and calculating the R/S statistical value of each subsequence, wherein n is a positive integer;
calculating the arithmetic mean value of each subsequence according to the R/S statistic value of each subsequence;
and calculating the Hurst parameter of the wireless network self-similarity distribution according to the linear relation between the arithmetic mean value of each subsequence and the sequence length n.
Further, in the network bandwidth allocation method, the step of calculating the optimal bandwidth of the current service according to the Hurst parameter when the optimal bandwidth meets the network quality requirement condition of the intelligent lamp post network system includes:
establishing an optimization model by taking the minimum bandwidth of the QoS (quality of service) requirement of a user terminal as a target and taking the overflow, time delay and jitter requirement conditions of the intelligent lamp pole network system as constraints;
and solving the optimization model to obtain the optimal bandwidth of the current service.
Further, in the foregoing method for allocating network bandwidth, the optimization model is:
wherein,
，/>
，
The invention also discloses a network bandwidth allocation device based on the intelligent lamp pole, the intelligent lamp pole provides a wireless network, the network bandwidth allocation device comprises,
the wireless access module is used for determining the user terminals meeting the wireless network access conditions when detecting that a plurality of user terminals enter a network coverage area of the wireless network, and accessing the user terminals meeting the access conditions to the wireless network;
the first calculation module is used for monitoring the service flow data of each service of the user terminal accessed to the wireless network and calculating the Hurst parameter of the wireless network self-similarity distribution according to the monitored service flow data of the current service;
the second calculation module is used for calculating the optimal bandwidth of the current service when the optimal bandwidth meets the network quality requirement conditions of the intelligent lamp post network system according to the Hurst parameters, wherein the network quality requirement conditions comprise network overflow, time delay and jitter conditions;
and the bandwidth allocation module is used for allocating the bandwidth for the user terminal accessed to the wireless network according to the optimal bandwidth of each service.
Further, in the foregoing network bandwidth allocating apparatus, the radio access module is configured to:
determining the target number of user terminals which can be accessed by the wireless network at present;
when the number of the currently detected user terminals is larger than the target number, identifying the identity type of each user terminal, and determining the corresponding priority according to the identity type of each user terminal, wherein the identity types comprise an active user, a reserved user and a newly added user, and the priorities of the active user, the reserved user and the newly added user are sequentially reduced;
and selecting a target number of user terminals according to the priority order of each user terminal, and taking the selected user terminals as the user terminals meeting the wireless network access condition.
Further, in the foregoing network bandwidth allocating apparatus, the first calculating module is configured to:
dividing the monitored service flow data of the current service into a plurality of disjoint subsequences with the length of n, and calculating the R/S statistical value of each subsequence, wherein n is a positive integer;
calculating the arithmetic mean value of each subsequence according to the R/S statistic value of each subsequence;
and calculating the Hurst parameter of the wireless network self-similarity distribution according to the linear relation between the arithmetic mean value of each subsequence and the sequence length n.
The invention also discloses a readable storage medium, on which a computer program is stored, which when executed by a processor implements the network bandwidth allocation method of any one of the above.
The invention also discloses an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the network bandwidth allocation method.
The network bandwidth allocation method reasonably allocates the bandwidth according to the service condition of the user terminal, ensures the normal network speed of each service, simultaneously accesses the user terminal as much as possible, and improves the user experience.
Drawings
Fig. 1 is a flowchart of a network bandwidth allocation method based on intelligent light pole according to a first embodiment of the present invention;
fig. 2 is a flowchart of a network bandwidth allocation method based on intelligent light pole according to a second embodiment of the present invention;
fig. 3 is a block diagram of a network bandwidth allocation device based on a smart light pole according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device in an embodiment of the invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention and are not to be construed as limiting the present invention.
These and other aspects of embodiments of the invention will be apparent with reference to the following description and attached drawings. In the description and drawings, particular embodiments of the invention have been disclosed in detail as being indicative of some of the ways in which the principles of the embodiments of the invention may be practiced, but it is understood that the scope of the embodiments of the invention is not limited correspondingly. On the contrary, the embodiments of the invention include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.
Referring to fig. 1, a network bandwidth allocation method based on a smart light pole in a first embodiment of the present invention is disclosed, wherein the smart light pole can provide a wireless network, and the network bandwidth allocation method includes steps S11 to S14.
Step S11, when detecting that a plurality of user terminals enter the network coverage area of the wireless network, determining the user terminals meeting the wireless network access conditions, and accessing the user terminals meeting the access conditions to the wireless network.
The network bandwidth allocation method in the embodiment is applied to the intelligent lamp pole, the intelligent lamp pole can be a lamp pole arranged in a community, a park, a service area, a highway and the like, and the lamp pole can provide a wireless network, for example, a wifi network can be provided so that a user terminal and a vehicle-mounted terminal of a user can surf the internet.
When the user terminal approaches the intelligent lamp pole, namely enters the network coverage area of the wireless network of the intelligent lamp pole, the request of connecting to the network can be automatically initiated. During specific implementation, as when a plurality of user terminals initiate the network access request, the intelligent lamp pole accesses the user terminal meeting the access condition into the wireless network. It is to be understood that the network access condition is, for example, a limited number of terminal accesses, or an amount of bandwidth allocation.
Specifically, in one embodiment of the present invention, in order to guarantee the network speed, the number of terminals accessing the wireless network may be limited. The step of determining the user terminal satisfying the wireless network access condition may include:
determining the target number of user terminals which can be accessed to the wireless network currently;
when the number of the currently detected user terminals is larger than the target number, identifying the identity type of each user terminal, and determining the corresponding priority according to the identity type of each user terminal, wherein the identity types comprise an active user, a reserved user and a newly added user, and the priorities of the active user, the reserved user and the newly added user are sequentially reduced;
and selecting a target number of user terminals according to the priority order of each user terminal, and taking the selected user terminals as the user terminals meeting the wireless network access conditions.
The intelligent lamppost records the user terminal accessed to the network, the active user is a user frequently accessed in a period of time (for example, the user terminal accessed to the network for more than 10 times in a month is the active user), the remaining user is a user with a low network access time (for example, the network access time in the month is less than 10 times), and the new user is a user initially accessed to the network. It can be understood that when the user terminal currently requesting to access the wireless network exceeds the limit value of the network access amount, the user priority order is installed to access the wireless network until the access amount reaches the limit value of the access amount.
Furthermore, when the intelligent lamp pole accesses the user terminal into the wireless network, the user terminal can be subjected to identity verification, and the wireless network is allowed to be accessed after the identity verification is passed.
And step S12, monitoring the service flow data of each service of the user terminal accessed to the wireless network, and calculating the Hurst parameter of the wireless network self-similarity distribution according to the monitored service flow data of the current service.
After the user terminal is accessed into the wireless network of the intelligent lamp pole, the intelligent lamp pole monitors the service flow data of each service of the user terminal in the network in real time, and the service flow of the user terminal mainly comprises audio playing flow, video playing flow, file transmission flow and the like.
The service of the wireless network has self-similarity, and the Hurst parameter represents the degree of the self-similarity. And calculating the Hurst parameter of the wireless network according to the service flow data. Specifically, in one embodiment of the present invention, the step of calculating the Hurst parameter of the wireless network self-similar distribution according to the monitored traffic data includes:
dividing the monitored service flow data of the current service into a plurality of disjoint subsequences with the length of n, and calculating the R/S statistical value of each subsequence, wherein n is a positive integer;
calculating the arithmetic mean value of each subsequence according to the R/S statistic value of each subsequence;
and calculating the Hurst parameter of the wireless network self-similarity distribution according to the linear relation between the arithmetic mean value of each subsequence and the sequence length n.
In one embodiment of the present invention, the Hurst parameter may be calculated based on the R/S method. The service flow data can be regarded as a time sequence with the length of L
It is divided into d subsequences of length n, n =1,2,3 \8230. For each subsequence m =1, \8230, d, a mean value +is calculated for each subsequence>
And the standard deviation->
。/>
Calculating each sample point
And subsequence mean E m Is marked as->
Then the cumulative deviation is
Wherein i =1, \8230;, n. From the accumulated deviation, the step difference can be calculated
. Calculating the arithmetic mean of all subsequences
。/>
Is a function on n>
The relationship to n can be expressed as: />
Then the relational expression can be obtained
Wherein logc is a constant. All points are plotted in a logarithmic coordinate system
And calculating the slope of the fitting straight line according to linear fitting, wherein the slope is the Hurst parameter.
It is understood that the calculation of the Hurst parameter by the above R/S method is only an example, and in other embodiments of the present invention, methods such as a time domain-based V-T method, a frequency domain-based Whittle estimation method, and a wavelet analysis-based EM estimation method may also be adopted.
And S13, calculating the optimal bandwidth of the current service when the optimal bandwidth meets the network quality requirement condition of the intelligent lamp post network system according to the Hurst parameter. The network quality requirement conditions include overflow, delay and jitter conditions of the network.
Further, the step of calculating the Hurst parameter of the wireless network self-similarity distribution according to the monitored traffic data of the current service includes:
establishing an optimization model by taking the minimum bandwidth meeting the service QoS requirement of a user terminal as a target and taking overflow, time delay and jitter requirements as constraints;
and solving the optimization model to obtain the optimal bandwidth of the current service.
Wherein the optimization model is:
wherein,
，/>
，/>
，
，/>
，/>
where ε is the overflow probability of the system, B is the buffer size of the base station admission system, C is the average traffic capacity of the system, B is the average queue length, γ is the incomplete gamma function,vis the input rate of the system, H is the Hurst parameter, <' > H>
Is a standard deviation factor, is based on the standard deviation value>
For the average delay of the system, <' >>
For an average delay jitter of the system, <' >>
Respectively the overflow probability, average time delay and average time delay jitter of the system,Φis the standard normal distribution function sign.
C (H) represents the bandwidth of the service, the optimization objective being to minimize this bandwidth so that more user terminals can be accessed.
Respectively, the constraints of the bandwidth on overflow, delay and jitter are expressed, i.e. the finally calculated bandwidth must guarantee the service quality of the service.
Suppose a smart light pole network system is in a period of time [ t, t + T]The average service capability of C and the buffer size of the base station admission system of b, the distribution function of the overflow probability epsilon of the system is:
。
the overflow probability of the system needs to meet the bandwidth service requirement, i.e.
Where Φ represents the standard normal distribution function sign. The derivation is such that when->
When epsilon can be minimized, then
。
For random variables input to the buffer queue
Which cumulative probability distribution->
Comprises the following steps:
from the above equation, the probability distribution f (x) can be calculated as:
The average delay of the system
Is->
(ii) a Average delay jitter of a system>
Comprises the following steps:
and S14, performing bandwidth allocation on the user terminal accessed to the wireless network according to the optimal bandwidth of each service.
And calculating the corresponding optimal bandwidth according to the flow data of each service by the method, and performing bandwidth allocation for the user terminal according to the optimal bandwidth of each service.
The network bandwidth allocation method in the embodiment reasonably allocates the bandwidth according to the service condition of the user terminal, ensures the normal network speed of each service, and simultaneously accesses the user terminal as many as possible, thereby improving the user experience.
Referring to fig. 2, a network bandwidth allocation method based on a smart light pole in a second embodiment of the present invention includes steps S21 to S26.
Step S21, when detecting that a plurality of user terminals enter the network coverage area of the wireless network, determining the target number of the user terminals which can be accessed by the wireless network at present.
And S22, when the number of the currently detected user terminals is larger than the target number, identifying the identity type of each user terminal, and determining the corresponding priority according to the identity type of each user terminal. The identity types comprise active users, reserved users and newly added users, and the priorities of the active users, the reserved users and the newly added users are sequentially reduced.
And step S23, selecting a target number of user terminals to access the wireless network according to the priority sequence of each user terminal.
When the user terminal approaches the intelligent lamp pole, namely enters a network coverage area of a wireless network of the intelligent lamp pole, the intelligent lamp pole detects the number of the user terminals which are accessed by the network system at present, and calculates the target number of the user terminals which can be accessed at present according to the number limit value of the users which can be accessed by the network. When the number of the user terminals to be accessed into the wireless network currently exceeds the target value, the user terminals with the target number are selected to be accessed into the wireless network according to the priority of the user terminals so as to ensure the normal internet speed of the user connected with the wireless network.
And step S24, monitoring the service flow data of each service of the user terminal accessed to the wireless network, and calculating the Hurst parameter of the wireless network self-similarity distribution according to the monitored service flow data of the current service.
After the user terminal is accessed into the wireless network of the intelligent lamp pole, the intelligent lamp pole monitors the service flow data of each service of each user terminal in the network in real time, and the service flow of the user terminal mainly comprises audio playing flow, video playing flow, file transmission flow and the like. The service of the wireless network has self-similarity, and the Hurst parameter represents the degree of the self-similarity. And calculating the Hurst parameter of the wireless network according to the service flow data. Specifically, the Hurst parameters of the wireless network can be calculated by methods such as an R/S method based on a time domain, a V-T method based on a time domain, a Whittle estimation method based on a frequency domain, an EM estimation method based on wavelet analysis and the like.
And S25, calculating the optimal bandwidth of the current service when the optimal bandwidth meets the network quality requirement condition of the intelligent lamp post network system according to the Hurst parameter. The network quality requirement conditions include overflow, delay and jitter conditions of the network.
And S26, performing bandwidth allocation for the user terminal accessed to the wireless network according to the optimal bandwidth of each service.
And calculating the optimal bandwidth of each service when the requirements of overflow, time delay and jitter of the intelligent lamp pole network system are met according to the service QoS of the user terminal and the Hurst parameter. That is, the minimum bandwidth of each service is calculated on the premise of guaranteeing the QoS requirements of the services. And performing bandwidth allocation for the user terminal according to the optimal bandwidth of each service.
Referring to fig. 3, a third embodiment of the present invention is a network bandwidth allocation device based on a smart light pole, wherein the smart light pole is configured with a wireless network module for providing a wireless network, the network bandwidth allocation device includes,
a wireless access module 31, configured to determine, when it is detected that multiple user terminals enter a network coverage area of the wireless network, a user terminal that meets an access condition of the wireless network, and access the user terminal that meets the access condition to the wireless network;
a first calculating module 32, configured to monitor traffic data of each service of a user terminal accessing the wireless network, and calculate a Hurst parameter of the wireless network self-similar distribution according to the monitored traffic data of the current service;
the second calculating module 33 is configured to calculate, according to the Hurst parameter, an optimal bandwidth of a current service when a network quality requirement condition of the smart lamp pole network system is met, where the network quality requirement condition includes an overflow condition, a time delay condition, and a jitter condition of a network;
and the bandwidth allocation module 34 is configured to allocate bandwidth to the user terminal accessing the wireless network according to the optimal bandwidth of each service.
Further, in the foregoing network bandwidth allocating apparatus, the radio access module is configured to:
determining the target number of user terminals which can be accessed by the wireless network at present;
when the number of the currently detected user terminals is larger than the target number, identifying the identity type of each user terminal, and determining the corresponding priority according to the identity type of each user terminal, wherein the identity types comprise an active user, a reserved user and a newly added user, and the priorities of the active user, the reserved user and the newly added user are sequentially reduced;
and selecting a target number of user terminals according to the priority order of each user terminal, and taking the selected user terminals as the user terminals meeting the wireless network access condition.
Further, in the foregoing network bandwidth allocating apparatus, the first calculating module is configured to:
dividing the monitored service flow data of the current service into a plurality of disjoint subsequences with the length of n, and calculating the R/S statistical value of each subsequence, wherein n is a positive integer;
calculating the arithmetic mean value of each subsequence according to the R/S statistic value of each subsequence;
and calculating the Hurst parameter of the wireless network self-similarity distribution according to the linear relation between the arithmetic mean value of each subsequence and the sequence length n.
The network bandwidth allocation apparatus provided in the embodiment of the present invention has the same implementation principle and technical effect as those of the foregoing method embodiments, and for brief description, no mention is made in the apparatus embodiments, and reference may be made to the corresponding contents in the foregoing method embodiments.
Referring to fig. 4, an electronic device according to an embodiment of the present invention is shown, which includes a processor 10, a memory 20, and a computer program 30 stored in the memory and executable on the processor, where the processor 10 executes the computer program 30 to implement the network bandwidth allocation method.
Wherein, electronic equipment can be foretell wisdom lamp pole. The processor 10 may be, in some embodiments, a Central Processing Unit (CPU), controller, microcontroller, microprocessor or other data processing chip for executing program codes stored in the memory 20 or processing data.
The memory 20 includes at least one type of readable storage medium, which includes a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, and the like. The memory 20 may in some embodiments be an internal storage unit of the electronic device, for example a hard disk of the electronic device. The memory 20 may also be an external storage device of the electronic device in other embodiments, such as a plug-in hard disk, a Smart Memory Card (SMC), a Secure Digital (SD) Card, a flash Card (FlashCard), and the like, provided on the electronic device. Further, the memory 20 may also include both an internal storage unit and an external storage device of the electronic apparatus. The memory 20 may be used not only to store application software installed in the electronic device, various types of data, and the like, but also to temporarily store data that has been output or is to be output.
Optionally, the electronic device may further comprise a user interface, a network interface, a communication bus, etc., the user interface may comprise a Display (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface may further comprise a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (organic light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable, among other things, for displaying information processed in the electronic device and for displaying a visualized user interface. The network interface may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), typically used to establish a communication link between the device and other electronic devices. The communication bus is used to enable connection communication between these components.
It should be noted that the configuration shown in fig. 4 does not constitute a limitation of the electronic device, and in other embodiments the electronic device may include fewer or more components than shown, or some components may be combined, or a different arrangement of components.
The present invention also proposes a computer-readable storage medium, on which a computer program is stored, which program, when executed by a processor, implements the network bandwidth allocation method as described above.
Those of skill in the art will understand that the logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be viewed as implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus (e.g., a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or execute the instructions). For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A network bandwidth allocation method based on intelligent lamp posts is characterized in that the intelligent lamp posts are provided with wireless network modules for providing wireless networks, the network bandwidth allocation method comprises the following steps,
when detecting that a plurality of user terminals enter a network coverage area of the wireless network, determining the user terminals meeting the wireless network access condition, and accessing the user terminals meeting the access condition to the wireless network;
monitoring the service flow data of each service of a user terminal accessed to the wireless network, and calculating the self-similarity distributed Hurst parameter of the wireless network according to the monitored service flow data of the current service;
calculating the optimal bandwidth of the current service when the optimal bandwidth meets the network quality requirement conditions of the intelligent lamp post network system according to the Hurst parameters, wherein the network quality requirement conditions comprise network overflow, time delay and jitter conditions;
and performing bandwidth allocation for the user terminal accessed to the wireless network according to the optimal bandwidth of each service.
2. The method of claim 1, wherein the step of determining the user terminals satisfying the wireless network access condition comprises:
determining the target number of user terminals which can be accessed by the wireless network at present;
when the number of the currently detected user terminals is larger than the target number, identifying the identity type of each user terminal, and determining the corresponding priority according to the identity type of each user terminal, wherein the identity types comprise an active user, a reserved user and a newly added user, and the priorities of the active user, the reserved user and the newly added user are sequentially reduced;
and selecting a target number of user terminals according to the priority order of each user terminal, and taking the selected user terminals as the user terminals meeting the wireless network access conditions.
3. The method for allocating network bandwidth as claimed in claim 1, wherein said step of calculating Hurst parameter of self-similar distribution of said wireless network according to monitored traffic data of current traffic comprises:
dividing the monitored service flow data of the current service into a plurality of disjoint subsequences with the length of n, and calculating the R/S statistical value of each subsequence, wherein n is a positive integer;
calculating the arithmetic mean value of each subsequence according to the R/S statistic value of each subsequence;
and calculating the Hurst parameter of the wireless network self-similarity distribution according to the linear relation between the arithmetic mean value of each subsequence and the sequence length n.
4. The method according to claim 1, wherein the step of calculating the optimal bandwidth of the current service according to the Hurst parameter when the network quality requirement condition of the intelligent lamp post network system is met comprises:
establishing an optimization model by taking the minimum bandwidth of the QoS (quality of service) requirement of a user terminal as a target and taking the overflow, time delay and jitter requirement conditions of the intelligent lamp pole network system as constraints;
and solving the optimization model to obtain the optimal bandwidth of the current service.
5. The method of claim 4, wherein the optimization model is:
wherein,
，/>
，
6. A network bandwidth allocation device based on a smart lamp pole is characterized in that the smart lamp pole is provided with a wireless network module for providing a wireless network, the network bandwidth allocation device comprises,
the wireless access module is used for determining the user terminals meeting the wireless network access conditions when detecting that a plurality of user terminals enter a network coverage area of the wireless network, and accessing the user terminals meeting the access conditions to the wireless network;
the first calculation module is used for monitoring the service flow data of each service of the user terminal accessed to the wireless network and calculating the self-similarity distributed Hurst parameter of the wireless network according to the monitored service flow data of the current service;
the second calculation module is used for calculating the optimal bandwidth of the current service when the optimal bandwidth meets the network quality requirement conditions of the intelligent lamp post network system according to the Hurst parameters, wherein the network quality requirement conditions comprise network overflow, time delay and jitter conditions;
and the bandwidth allocation module is used for allocating the bandwidth for the user terminal accessed to the wireless network according to the optimal bandwidth of each service.
7. The network bandwidth allocation apparatus of claim 6, wherein said radio access module is configured to:
determining the target number of user terminals which can be accessed by the wireless network at present;
when the number of the currently detected user terminals is larger than the target number, identifying the identity type of each user terminal, and determining the corresponding priority according to the identity type of each user terminal, wherein the identity types comprise an active user, a reserved user and a newly added user, and the priorities of the active user, the reserved user and the newly added user are sequentially reduced;
and selecting a target number of user terminals according to the priority order of each user terminal, and taking the selected user terminals as the user terminals meeting the wireless network access conditions.
8. The network bandwidth allocation apparatus of claim 6, wherein said first computation module is configured to:
dividing the monitored service flow data of the current service into a plurality of disjoint subsequences with the length of n, and calculating the R/S statistical value of each subsequence, wherein n is a positive integer;
calculating the arithmetic mean value of each subsequence according to the R/S statistic value of each subsequence;
and calculating the Hurst parameter of the wireless network self-similarity distribution according to the linear relation between the arithmetic mean value of each subsequence and the sequence length n.
9. A readable storage medium on which a computer program is stored which, when executed by a processor, implements the network bandwidth allocation method of any one of claims 1 to 5.
10. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the network bandwidth allocation method of any one of claims 1 to 5 when executing the computer program.
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