CN112968739A - Short-wave emergency communication channel assessment and allocation method - Google Patents
Short-wave emergency communication channel assessment and allocation method Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/382—Monitoring; Testing of propagation channels for resource allocation, admission control or handover
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/391—Modelling the propagation channel
- H04B17/3913—Predictive models, e.g. based on neural network models
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
- H04W28/18—Negotiating wireless communication parameters
- H04W28/20—Negotiating bandwidth
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
- H04W28/24—Negotiating SLA [Service Level Agreement]; Negotiating QoS [Quality of Service]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/90—Services for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS]
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses a short wave emergency communication channel evaluation and distribution method, which comprises the following steps: receiving signal parameters of a plurality of time slots to obtain a parameter sequence N of adjacent uplink and downlink subframe channels; performing prediction evaluation through a Markov model to obtain current state information of each channel, wherein the current state information of each channel comprises packet loss rate and average delay; calculating different transmission qualities of the current state of each channel by using a preset rule, and expressing the different transmission qualities by using percentages or other parameters; acquiring current user terminal transmission environment parameters and user emergency data volume to obtain minimum bandwidth information corresponding to emergency data transmission; and calculating the transmission efficiency of the plurality of channels according to the minimum bandwidth information and the actual transmission quality of each channel, and determining a proper channel according to the transmission efficiency to carry out emergency data transmission. Meanwhile, the method and the system can improve the speed and the efficiency of emergency communication connection and data transmission and improve the wireless communication capacity in severe areas and under all-weather conditions.
Description
Technical Field
The invention belongs to the technical field of emergency communication, and particularly relates to a short-wave emergency communication channel evaluation and distribution method and system.
Background
Short-wave communication relies on electromagnetic waves in the range of 1.5-30MHz to transmit signals through the reflection of an atmospheric ionosphere, is the earliest wireless communication mode which is widely applied, and is still an important means of medium-distance and long-distance wireless communication.
The frequency use mode of the traditional short wave Automatic Link Establishment (ALE) communication system is based on a specified frequency set issued by a frequency planning department, the accuracy of the frequency use mode is established on the analysis and forecast of long-term statistical results, and the frequency use mode cannot adapt to reliable short wave communication under the increasingly crowded ionospheric electromagnetic environment.
With the increasingly wide application of communication technology in different fields, particularly when terminal equipment is in a severe communication environment or an emergency environment, a very fast response speed is required to rapidly call for help or transmit data, the original short-wave emergency communication mode and the corresponding data transmission efficiency cannot meet certain emergency information requirements, and therefore, the optimization of short-wave communication is a great requirement, and the influence of the energy efficiency of data transmission in the process is of great importance.
Short wave communication frequency in the prior art is unstable, so that the low efficiency of searching nodes and signal connection is caused, and delay and unsmooth communication of emergency information are possibly caused.
Disclosure of Invention
The purpose of the invention is realized by the following technical scheme: [ l1]
A short wave emergency communication channel assessment and allocation method, the method comprising:
(1) receiving signal parameters of a plurality of time slots to obtain a parameter sequence N of adjacent uplink and downlink subframe channels;
(2) performing prediction evaluation through a Markov model (or other similar models) to obtain current state information of each channel, wherein the current state information of each channel comprises packet loss rate and average delay;
(3) calculating different transmission qualities of the current state of each channel by using a preset rule, and expressing the different transmission qualities by using percentages or other parameters;
(4) acquiring current user terminal transmission environment parameters and user emergency data volume to obtain minimum bandwidth information corresponding to emergency data transmission;
(5) and calculating the transmission efficiency of the plurality of channels according to the minimum bandwidth information and the actual transmission quality of each channel, and determining a proper channel according to the transmission efficiency to carry out emergency data transmission.
Preferably, the method further comprises: (6) when there are multiple users to transmit the business emergently at time t, collect the business set at time t, set up the business priority, produce sample business set and classification tree, and predict the business set at time t +1 according to the classification result, meanwhile, offer the service of the spare channel for the emergency business, when the spare channel is insufficient, sacrifice some business, meet the needs of the emergency business.
Preferably, the step (1) is specifically: firstly, obtaining differential information on different detection time slots of uplink and downlink subframe channels, secondly, obtaining characteristic parameter sequences of adjacent uplink and downlink subframe channels of terminals of both communication parties according to the differential information of the uplink and downlink subframes on the adjacent detection time slots, and finally, estimating the downlink channel phase by utilizing the uplink channel phase and the downlink subframe to obtain the parameter sequences of the adjacent uplink and downlink subframe channels.
Preferably, the step (3) is specifically: and extracting the packet loss rate and the average delay, and calculating the transmission quality of each channel by using a preset evaluation proportion standard in combination with the bandwidth information of each channel.
Preferably, the step (6) is specifically: when a plurality of emergency services exceed the prediction result and need to access the channel, adjusting the channel at the t +1 moment based on the principle of the highest priority of the emergency services, comparing the number of standby channels with the number of the emergency services, and when the number of the emergency services is not more than the number of the standby channels, meeting the needs of the emergency services through the standby channels and sequentially accessing the emergency services to the standby channels; and when the number of the emergency services is larger than that of the standby channels, sacrificing the services with the low priority, and eliminating the service sets with the low priority at random with equal probability.
The invention also provides a short wave emergency communication channel evaluation and distribution system, which comprises: the device comprises a sequence acquisition module, a channel state module, a channel evaluation module and a channel calculation selection module.
The sequence acquisition module is used for receiving signal parameters of a plurality of time slots to obtain a parameter sequence N of an adjacent uplink and downlink subframe channel;
the channel state module is used for performing prediction evaluation through a Markov model (or other similar models) to obtain current state information of each channel, wherein the current state information of each channel comprises packet loss rate and average delay;
the channel evaluation module is used for calculating different transmission qualities of the current state of each channel by using a preset rule and expressing the different transmission qualities by using percentages or other parameters; acquiring current user terminal transmission environment parameters and user emergency data volume to obtain minimum bandwidth information corresponding to emergency data transmission;
and the channel calculation selection module is used for calculating the transmission efficiency of the plurality of channels according to the minimum bandwidth information and the actual transmission quality of each channel, and determining a proper channel for emergency data transmission according to the transmission efficiency.
Preferably, the system further comprises: and the service coordination module is used for collecting the service set at the time t, setting service priority, generating a sample service set and a classification tree, predicting the service set at the time t +1 according to a classification result, providing standby channel service for the emergency service, and sacrificing part of services to meet the requirement of the emergency service when the standby channel is insufficient.
Preferably, the sequence acquiring module is specifically configured to: firstly, obtaining differential information on different detection time slots of uplink and downlink subframe channels, secondly, obtaining characteristic parameter sequences of adjacent uplink and downlink subframe channels of terminals of both communication parties according to the differential information of the uplink and downlink subframes on the adjacent detection time slots, and finally, estimating the downlink channel phase by utilizing the uplink channel phase and the downlink subframe to obtain the parameter sequences of the adjacent uplink and downlink subframe channels.
Preferably, the channel evaluation module is specifically configured to: and acquiring the current state information of each channel, extracting the packet loss rate and the average delay, combining the bandwidth information of each channel, and calculating the transmission quality of each channel by using a preset evaluation proportion standard.
Preferably, the service coordination module is specifically configured to: when a plurality of emergency services exceed the prediction result and need to access the channel, adjusting the channel at the t +1 moment based on the principle of the highest priority of the emergency services, comparing the number of standby channels with the number of the emergency services, and when the number of the emergency services is not more than the number of the standby channels, meeting the needs of the emergency services through the standby channels and sequentially accessing the emergency services to the standby channels; and when the number of the emergency services is larger than that of the standby channels, sacrificing the services with the low priority, and eliminating the service sets with the low priority at random with equal probability.
Due to the adoption of the technical scheme, the invention can achieve the following beneficial effects: the method and the system can improve the speed and the efficiency of emergency communication connection and data transmission and improve the wireless communication capacity in severe areas and under all-weather conditions.
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FIG. 1 is a flow chart of a short wave emergency communication channel assessment and assignment method;
fig. 2 is a schematic diagram of a short wave emergency communication channel assessment and distribution system.
These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to specific embodiments.
Detailed Description
Examples of the present disclosure will now be described more fully with reference to the accompanying drawings. The following description is merely exemplary in nature and is not intended to limit the present disclosure, application, or uses.
Example embodiments are provided so that this disclosure will be thorough, and will fully convey the scope to those skilled in the art. Numerous specific details are set forth such as examples of specific components, devices, and methods to provide a thorough understanding of embodiments of the present disclosure. It will be apparent to those skilled in the art that specific details need not be employed, that example embodiments may be embodied in many different forms and that neither should be construed to limit the scope of the disclosure. In certain example embodiments, well-known processes, well-known structures, and well-known technologies are not described in detail.
The technical problems posed by the present disclosure will be explained in detail below. It is to be noted that this technical problem is merely exemplary and is not intended to limit the application of the present invention.
A short wave emergency communication channel assessment and allocation method, the method comprising:
(1) and receiving the signal parameters of a plurality of time slots to obtain a parameter sequence N of adjacent uplink and downlink subframe channels.
The method specifically comprises the following steps: firstly, obtaining difference information on different detection time slots of an uplink subframe channel and a downlink subframe channel, namely calculating to obtain a phase difference value delta U of the uplink channel according to two times of uplink channel estimation, and similarly, calculating to obtain a phase difference value delta D of the downlink channel by the terminal according to two times of downlink channel estimation.
Secondly, acquiring a channel characteristic parameter sequence of adjacent uplink and downlink subframes of terminals of both communication parties according to difference information of the uplink and downlink subframes on adjacent detection time slots, namely estimating an uplink channel phase theta U1 on the uplink subframe according to an uplink channel phase difference value delta U in one or a plurality of selected subcarriers with high received signal-to-noise ratio; and selecting the subcarrier as the same as the base station, and estimating a downlink channel phase theta D1 in the downlink subframe according to the downlink channel phase difference value delta D.
And finally, estimating a downlink channel phase theta D1 by using the uplink channel phase theta U1 and the downlink subframe to obtain an adjacent uplink and downlink subframe channel parameter sequence N.
(2) And performing prediction evaluation through a Markov model and the like (or other similar models) to obtain the current state information of each channel, wherein the current state information of each channel comprises packet loss rate and energy efficiency.
The method specifically comprises the following steps: the channel condition is evaluated using a Markov model that considers the service time exponential distribution and using CT (MCU State transition time/CCA detection time, rounded) times of transient CCA clear channel detection, and backoff can be performed quickly when the channel is detected to be busy. And then, considering that the awakening module based on subcarrier modulation and the main transceiver module share the antenna to communicate in the same channel so as to increase the transmission range of the awakening request, and then, obtaining the comprehensive index of energy efficiency and packet loss rate. CT is the CCA channel detection timer initial value.
(3) And calculating different transmission quality of the current state of each channel by using a preset rule, wherein the different transmission quality is expressed by percentage or other parameters.
The method specifically comprises the following steps: and calculating the transmission quality of each channel by using a preset evaluation proportion standard according to the current state information of each channel, namely the packet loss rate and the energy efficiency and combining the bandwidth information of each channel. That is, the larger the channel bandwidth is, the higher the packet loss rate and the energy efficiency is, the higher the transmission quality is, and conversely, the lower the transmission quality is. Then, the actual transmission quality of each channel is obtained after the parameters are comprehensively considered.
(4) And acquiring the current user terminal transmission environment parameters and the user emergency data volume to obtain the minimum bandwidth information corresponding to the emergency data transmission.
The method specifically comprises the following steps: and extracting the network delay and channel interference parameters of the user terminal from the obtained transmission environment parameters of the current user terminal, and simultaneously obtaining the emergency data volume and the proportion from the emergency data volume of the user. And then, calculating the minimum bandwidth information required for transmitting the emergency data of the current user by using the parameters.
(5) And calculating the transmission efficiency of the plurality of channels according to the minimum bandwidth information and the actual transmission quality of each channel, and determining a proper channel according to the transmission efficiency to carry out emergency data transmission.
The method specifically comprises the following steps: firstly, all channels with bandwidth information larger than or equal to the minimum bandwidth information are selected, the actual transmission quality of each corresponding channel is obtained, and then the transmission efficiency of the channels is calculated according to the actual transmission quality and the size of the current user emergency data volume. And then, sequencing the transmission efficiencies of the plurality of channels, and selecting the first 3-5 channels for emergency data transmission. The first 3-5 channels comprise standby channels provided for emergency services.
(6) And when a plurality of users transmit the service in emergency at the time t, collecting the service set at the time t, setting service priority, generating a sample service set and a classification tree, and predicting the service set at the time t +1 according to a classification result. Meanwhile, a standby channel service is provided for emergency services, and when the standby channel is insufficient, part of services are sacrificed, so that the requirements of the emergency services are met.
The method specifically comprises the following steps: firstly, the set service priorities are divided into high, low and low, sample service sets and classification trees are respectively generated for the three levels, and the prediction of the required channel is carried out on the service set at the t +1 moment according to the classification result.
When a plurality of emergency services exceed the prediction result and need to access the channel, adjusting the channel at the t +1 moment based on the principle of the highest priority of the emergency services, comparing the number of standby channels with the number of the emergency services, and when the number of the emergency services is not more than the number of the standby channels, meeting the needs of the emergency services through the standby channels and sequentially accessing the emergency services to the standby channels; when the number of emergency services is larger than that of the standby channels, sacrificing the services with the low priority, and randomly eliminating a plurality of services with equal probability for the service sets with the low priority; when the emergency services are removed, the high-level emergency services are accessed to an idle service channel for communication; meanwhile, the terminals belonging to the services in the service set sense whether the channels to which the terminals belong are idle before being eliminated in a carrier sense time division multiple access mode.
The invention also discloses a short wave emergency communication channel evaluation and distribution system, which comprises: the system comprises a sequence acquisition module, a channel state module, a channel evaluation module, a channel calculation selection module and a service coordination module.
Wherein the content of the first and second substances,
and the sequence acquisition module is used for receiving the signal parameters of a plurality of time slots to obtain a parameter sequence N of an adjacent uplink and downlink subframe channel.
The method is specifically used for: firstly, the sequence acquisition module acquires differential information on different detection time slots of uplink and downlink sub-frame channels, namely, the phase difference value delta U of the uplink channel can be calculated and obtained according to two times of uplink channel estimation, and similarly, the terminal can calculate and obtain the phase difference value delta D of the downlink channel according to two times of downlink channel estimation.
Secondly, the sequence acquisition module acquires a channel characteristic parameter sequence of adjacent uplink and downlink subframes of terminals of both communication parties according to difference information of the uplink and downlink subframes on adjacent detection time slots, namely, in one or a plurality of selected subcarriers with high received signal-to-noise ratio, an uplink channel phase theta U1 is estimated on the uplink subframe according to an uplink channel phase difference value delta U; and selecting the subcarrier as the same as the base station, and estimating a downlink channel phase theta D1 in the downlink subframe according to the downlink channel phase difference value delta D.
And finally, the sequence acquisition module estimates a downlink channel phase theta D1 by using the uplink channel phase theta U1 and the downlink subframe to obtain an adjacent uplink and downlink subframe channel parameter sequence N.
The channel state module is configured to perform prediction evaluation through a markov model or the like (or other similar models) to obtain current state information of each channel, where the current state information of each channel includes a packet loss rate and an average delay.
The method is specifically used for: the channel state module uses a Markov model considering service time exponential distribution and uses CT (MCU state transition time/CCA detection time, round) times of transient CCA idle channel detection to evaluate the channel state, and can quickly perform backoff when the channel is detected to be busy. And then, considering that the awakening module based on subcarrier modulation and the main transceiver module share the antenna to communicate in the same channel so as to increase the transmission range of the awakening request, and then, obtaining the comprehensive index of energy efficiency and packet loss rate.
The channel evaluation module is used for calculating different transmission qualities of the current state of each channel by using a preset rule and expressing the different transmission qualities by percentage or other parameters.
The method is specifically used for: the channel evaluation module acquires the current state information of each channel, extracts the packet loss rate and the average delay, and combines the bandwidth information of each channel. And the channel evaluation module calculates the transmission quality of each channel by using a preset evaluation proportion standard. That is, the larger the channel bandwidth is, the smaller the packet loss rate and the average delay are, the higher the transmission quality is, and conversely, the lower the transmission quality is. And then, the channel evaluation module comprehensively considers the parameters to obtain the actual transmission quality of each channel.
The channel evaluation module is further configured to acquire the current user terminal transmission environment parameter and the user emergency data volume, and obtain minimum bandwidth information corresponding to emergency data transmission.
In particular also for: the channel evaluation module extracts user terminal network delay and channel interference parameters from the acquired current user terminal transmission environment parameters, and simultaneously acquires the emergency data volume and the proportion from the user emergency data volume. And then, the channel evaluation module calculates the minimum bandwidth information required for transmitting the current user emergency data by using the parameters.
And the channel calculation selection module is used for calculating the transmission efficiency of the plurality of channels according to the minimum bandwidth information and the actual transmission quality of each channel, and determining a proper channel for emergency data transmission according to the transmission efficiency.
The method is specifically used for: firstly, the channel calculation selection module selects all channels with bandwidth information greater than or equal to the minimum bandwidth information, and obtains the actual transmission quality of each corresponding channel, and secondly, the channel calculation selection module calculates the transmission efficiency of a plurality of channels according to the actual transmission quality and the current user emergency data volume. And then, the channel calculation selection module sequences the transmission efficiencies of the plurality of channels and selects the first 3-5 channels for emergency data transmission. The first 3-5 channels comprise standby channels provided for emergency services.
And the service coordination module is used for collecting the service set at the time t, setting service priority, generating a sample service set and a classification tree and predicting the service set at the time t +1 according to the classification result when a plurality of users transmit services in an emergency. Meanwhile, a standby channel service is provided for emergency services, and when the standby channel is insufficient, part of services are sacrificed, so that the requirements of the emergency services are met.
The method is specifically used for: firstly, the service priority set by the service coordination module is divided into high, low and low, a sample service set and a classification tree are respectively generated for the three levels, and the prediction of a required channel is carried out on the service set at the t +1 moment according to the classification result.
When a plurality of emergency services exceed the prediction result and need to access the channel, the service coordination module adjusts the channel at the t +1 moment based on the principle that the priority of the emergency services is highest, compares the number of the standby channels with the number of the emergency services, and when the number of the emergency services is not more than the number of the standby channels, the standby channels meet the needs of the emergency services and sequentially access the emergency services to the standby channels; when the number of the emergency services is larger than that of the standby channels, the service coordination module sacrifices the services with the low priority, and randomly rejects a plurality of services with equal probability for the service sets with the low priority; and when the emergency services are eliminated, the high-level emergency services are accessed to an idle service channel for communication.
Meanwhile, the terminals belonging to the services in the service set sense whether the channels to which the terminals belong are idle before being eliminated in a carrier sense time division multiple access mode.
The preferred embodiments of the present disclosure are described above with reference to the drawings, but the present disclosure is of course not limited to the above examples. Various changes and modifications within the scope of the appended claims may be made by those skilled in the art, and it should be understood that these changes and modifications naturally will fall within the technical scope of the present disclosure.
In this specification, the steps described in the flowcharts include not only the processing performed in time series in the described order but also the processing performed in parallel or individually without necessarily being performed in time series. Further, even in the steps processed in time series, needless to say, the order can be changed as appropriate.
The above description is only exemplary of the present invention and should not be taken as limiting the scope of the present invention, as any modifications, equivalents, improvements and the like made within the spirit and principles of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. A short wave emergency communication channel assessment and allocation method, the method comprising:
(1) receiving signal parameters of a plurality of time slots to obtain a parameter sequence N of adjacent uplink and downlink subframe channels;
(2) performing prediction evaluation through a Markov model to obtain current state information of each channel, wherein the current state information of each channel comprises packet loss rate and energy efficiency;
(3) calculating different transmission qualities of the current state of each channel by using a preset rule, and expressing the different transmission qualities by using percentages or other parameters;
(4) acquiring current user terminal transmission environment parameters and user emergency data volume to obtain minimum bandwidth information corresponding to emergency data transmission;
(5) and calculating the transmission efficiency of the plurality of channels according to the minimum bandwidth information and the actual transmission quality of each channel, and determining a proper channel according to the transmission efficiency to carry out emergency data transmission.
2. The method of claim 1, wherein the method further comprises:
(6) when there are multiple users to transmit the business emergently at time t, collect the business set at time t, set up the business priority, produce sample business set and classification tree, and predict the business set at time t +1 according to the classification result, meanwhile, offer the service of the spare channel for the emergency business, when the spare channel is insufficient, sacrifice some business, meet the needs of the emergency business.
3. The method according to claim 2, wherein step (1) is specifically: firstly, obtaining differential information on different detection time slots of uplink and downlink subframe channels, secondly, obtaining characteristic parameter sequences of adjacent uplink and downlink subframe channels of terminals of both communication parties according to the differential information of the uplink and downlink subframes on the adjacent detection time slots, and finally, estimating the downlink channel phase by utilizing the uplink channel phase and the downlink subframe to obtain the parameter sequences of the adjacent uplink and downlink subframe channels.
4. The method according to claim 1, wherein step (3) is specifically: and extracting the packet loss rate and the average delay, and calculating the transmission quality of each channel by using a preset evaluation proportion standard in combination with the bandwidth information of each channel.
5. The method according to claim 2, wherein step (6) is specifically: when a plurality of emergency services exceed the prediction result and need to access the channel, adjusting the channel at the t +1 moment based on the principle of the highest priority of the emergency services, comparing the number of standby channels with the number of the emergency services, and when the number of the emergency services is not more than the number of the standby channels, meeting the needs of the emergency services through the standby channels and sequentially accessing the emergency services to the standby channels; and when the number of the emergency services is larger than that of the standby channels, sacrificing the services with the low priority, and eliminating the service sets with the low priority at random with equal probability.
6. A short wave emergency communication channel assessment and distribution system, the system comprising: the device comprises a sequence acquisition module, a channel state module, a channel evaluation module and a channel calculation selection module.
The sequence acquisition module is used for receiving signal parameters of a plurality of time slots to obtain a parameter sequence N of an adjacent uplink and downlink subframe channel;
the channel state module is used for performing prediction evaluation through a Markov model to obtain current state information of each channel, wherein the current state information of each channel comprises packet loss rate and average delay;
the channel evaluation module is used for calculating different transmission qualities of the current state of each channel by using a preset rule and expressing the different transmission qualities by using percentages or other parameters; acquiring current user terminal transmission environment parameters and user emergency data volume to obtain minimum bandwidth information corresponding to emergency data transmission;
and the channel calculation selection module is used for calculating the transmission efficiency of the plurality of channels according to the minimum bandwidth information and the actual transmission quality of each channel, and determining a proper channel for emergency data transmission according to the transmission efficiency.
7. The system of claim 6, wherein the system further comprises: and the service coordination module is used for collecting the service set at the time t, setting service priority, generating a sample service set and a classification tree, predicting the service set at the time t +1 according to a classification result, providing standby channel service for the emergency service, and sacrificing part of services to meet the requirement of the emergency service when the standby channel is insufficient.
8. The system of claim 7, wherein the sequence acquisition module is specifically configured to: firstly, obtaining differential information on different detection time slots of uplink and downlink subframe channels, secondly, obtaining characteristic parameter sequences of adjacent uplink and downlink subframe channels of terminals of both communication parties according to the differential information of the uplink and downlink subframes on the adjacent detection time slots, and finally, estimating the downlink channel phase by utilizing the uplink channel phase and the downlink subframe to obtain the parameter sequences of the adjacent uplink and downlink subframe channels.
9. The system of claim 6, wherein the channel assessment module is specifically configured to: and acquiring the current state information of each channel, extracting the packet loss rate and the average delay, combining the bandwidth information of each channel, and calculating the transmission quality of each channel by using a preset evaluation proportion standard.
10. The system of claim 6, wherein the traffic coordination module is specifically configured to: when a plurality of emergency services exceed the prediction result and need to access the channel, adjusting the channel at the t +1 moment based on the principle of the highest priority of the emergency services, comparing the number of standby channels with the number of the emergency services, and when the number of the emergency services is not more than the number of the standby channels, meeting the needs of the emergency services through the standby channels and sequentially accessing the emergency services to the standby channels; and when the number of the emergency services is larger than that of the standby channels, sacrificing the services with the low priority, and eliminating the service sets with the low priority at random with equal probability.
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| CN113247050A (en) * | 2021-07-07 | 2021-08-13 | 天津七一二移动通信有限公司 | Method for realizing train approaching early warning and collision avoidance based on CSTMDMA |
| CN116887083A (en) * | 2023-09-07 | 2023-10-13 | 武汉长光科技有限公司 | Wavelength selection method and device, optical Network Unit (ONU) and electronic equipment |
| CN117176311A (en) * | 2023-10-31 | 2023-12-05 | 南通飞海电子科技有限公司 | Cashing data transmission method and system based on frequency division multiplexing |
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