Intelligent communication method and system integrating mobile communication and broadcast communication

Abstract

The invention belongs to the technical field of communication, and particularly relates to an intelligent communication method and system integrating mobile communication and broadcast communication, and the method comprises the following steps: determining activity time, dividing the activity time into at least two time periods, dividing each time period into at least one communication period, and recording the communication period as a period Ti; based on historical data analysis, setting a first spectrum resource allocation proportion corresponding to mobile communication, broadcast communication and reserved communication for each period, and recording the first spectrum resource allocation proportion as ATi: BTi: C; by setting the first spectrum resource allocation proportion for mobile communication, broadcast communication and reserved communication for each period, in any period, according to the corresponding first spectrum resource allocation proportion, it can be effectively ensured that allocation of spectrum resources is relatively reasonable in any period, and the use requirements of mobile communication or broadcast communication are met.

Description

Technical Field

[0001] The present invention belongs to the field of communication technology, and in particular to an intelligent communication method and system integrating mobile communication and broadcast communication. Background Art

[0002] With the rapid development of the Internet, Internet of Things, mobile communications and other technologies, the number of mobile terminals in the network will increase, the audio-visual media content will show exponential growth, and video services and network requirements will gradually diversify;

[0003] When large-scale events are held, the number of users gathered is too large and the communication spectrum resources in the local area are limited. As a result, the allocation of communication spectrum resources in the local area cannot meet the users' needs for mobile communications and broadcast communications, resulting in a poor user experience. If there is an emergency during the event, such as weather deterioration and the need to urgently evacuate the audience, the excessive number of users may occupy the mobile communication spectrum resources, resulting in obstruction of the audience's mobile communications. Furthermore, due to unreasonable allocation of spectrum resources, the resources of broadcast communications are limited and notifications cannot be quickly disseminated, which results in the inability to effectively use spectrum resources for evacuation when an emergency occurs.

[0004] To this end, the present invention provides an intelligent communication method and system integrating mobile communication and broadcast communication. Summary of the invention

[0005] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0006] The technical solution adopted by the present invention to solve the technical problem is: an intelligent communication method integrating mobile communication and broadcast communication described in the present invention comprises the following steps:

[0007] S1: Determine the activity time and divide the activity time into at least two time periods, and divide each time period into at least one communication cycle, recorded as cycle T i , i=1,2,3,...,n;

[0008] S2: Based on historical data analysis, a first spectrum resource allocation ratio corresponding to mobile communication, broadcast communication and reserved communication is set for each period, denoted as A Ti :B Ti :C, and A Ti +B Ti + C = 1;

[0009] S3: Real-time monitoring and calculation of the demand for mobile communications R in each cycle A_Ti , and according to the demand R A_Ti Get the adjustment scale factor α;

[0010] S4: Dynamically calculate the expected spectrum resource allocation ratio corresponding to mobile communication based on the adjustment ratio factor α, and then determine the adjusted second spectrum resource allocation ratio, denoted as A Ti_a :B Ti_a :C, and A Ti_a +B Ti_a + C = 1;

[0011] S5: When any period T i If an emergency occurs, the spectrum resource allocation ratio of reserved communication is combined with the spectrum resource allocation ratio of broadcast communication, which is recorded as A Ti_a :B Ti_a +C.

[0012] Preferably, the method of dividing each time period into at least one communication cycle is:

[0013] Acquire a time period, and divide the time period by a preset communication cycle length, and acquire at least one communication cycle corresponding to the time period;

[0014] Real-time monitoring of the number of users;

[0015] When the number of users is higher than the preset value, the length of the communication cycle is shortened and the number of communication cycles is increased;

[0016] When the number of users is lower than the preset value, the length of the communication cycle is extended and the number of communication cycles is reduced.

[0017] Preferably, the mobile communication demand R A_Ti The calculation method is:

[0018] Get T i Total data volume in the cycle D t , the total capacity of the network G t , actual network throughput N t , Maximum network throughput N max , Number of dropped calls T t , Total number of sessions T t_a ;

[0019] According to the formula:

[0020]

[0021] Based on the formula, T i The demand for mobile communication in a cycle R A_Ti , where w1, w2 and w3 are weight factors, and w1+w2+w3=1, which are allocated according to the importance of data traffic, user density and service quality.

[0022] Preferably, the calculation method of the adjustment scale factor α is:

[0023] Get the demand for mobile communication R A_Ti ;

[0024] According to the formula:

[0025]

[0026] The adjustment scale factor α is calculated according to the formula, where R A_max T i Baseline demand during the period.

[0027] Preferably, the method for adjusting the second spectrum resource allocation ratio is:

[0028] Get the adjustment scale factor α;

[0029] According to the formula:

[0030] A Ti_a =A Ti ×α

[0031] B Ti_a =B Ti +A Ti ×(1-α)

[0032] According to the formula, the second spectrum resource allocation ratio A is calculated. Ti_a :B Ti_a :C.

[0033] Preferably, the method for adjusting the second spectrum resource allocation ratio further includes:

[0034] Get T i Average video delay VE of broadcast communication during the period t_mean , preset video delay minimum value VE t_min , preset video delay maximum value VE t_max ;

[0035] According to the formula:

[0036]

[0037] Based on the formula, T is calculated i Periodic video delay index J Ti ;

[0038] Video delay index J Ti Compare with threshold θ:

[0039] When the video delay index J Ti is less than the threshold θ, then:

[0040] A Ti_a =ATi ×α

[0041] B Ti_a =B Ti +A Ti ×(1-α)

[0042] When the video delay index J Ti is greater than or equal to the threshold θ, then:

[0043] A Ti_a =min(A Ti ×α,A Ti )

[0044]

[0045] According to the formula, the video delay index J is calculated. Ti The second spectrum resource allocation ratio A under the influence Ti_a :B Ti_a :C.

[0046] Preferably, S2 further includes:

[0047] Matching the same first spectrum resource allocation ratio for periods belonging to the same time period;

[0048] The first spectrum resource allocation ratio of the next cycle will be determined at the end time node of the current cycle and automatically applied at the start time node of the next cycle.

[0049] Preferably, the method for setting the first spectrum resource allocation ratio corresponding to mobile communication, broadcast communication and reserved communication for each period based on historical data analysis is:

[0050] Collect historical activity data, including activity type, number of users, and activity time;

[0051] Clean and pre-process the collected historical activity data;

[0052] Use machine learning algorithms to model the relationship between activity data and communication needs;

[0053] Use historical data to train the model and adjust the model parameters to minimize the prediction error;

[0054] According to the activity data, the communication demand is predicted by using a relational model, and a first spectrum resource allocation ratio is determined.

[0055] Preferably, the machine learning algorithm includes one or more combinations of time series analysis, random forest algorithm, machine learning algorithm, such as linear regression, neural network or support vector machine.

[0056] Preferably, an intelligent communication system integrating mobile communication and broadcast communication comprises:

[0057] Dynamic spectrum adjustment module, which is used to monitor the spectrum usage of mobile and broadcast communications and dynamically adjust spectrum allocation according to network traffic and user needs;

[0058] The spectrum sensing allocation module, based on spectrum sensing technology, discovers spectrum resources below the utilization threshold and allocates them to services with high demand;

[0059] The emergency response coordination module identifies emergency situations and coordinates the allocation of spectrum resources for mobile and broadcast communications to ensure efficient dissemination of critical information.

[0060] The beneficial effects of the present invention are as follows:

[0061] 1. The intelligent communication method and system for integrating mobile communication and broadcast communication described in the present invention, by setting a first spectrum resource allocation ratio for mobile communication, broadcast communication and reserved communication for each period, in any period, according to the corresponding first spectrum resource allocation ratio, it can effectively ensure that the allocation of spectrum resources is relatively reasonable in any period to meet the use requirements of mobile communication or broadcast communication, and then calculate the adjustment ratio factor by obtaining the demand degree of mobile communication in any period, and then dynamically adjust the spectrum resource allocation ratio according to the adjustment ratio factor, so that the demand degree of mobile communication and broadcast communication in any period can be met, thereby improving the utilization rate of limited spectrum resources;

[0062] 2. The intelligent communication method and system for integrating mobile communication and broadcast communication described in the present invention calculates the demand R of mobile communication A_Ti Then, use the demand R A_Ti The adjustment ratio factor α is calculated with the benchmark demand, and then the updated second spectrum resource allocation ratio is obtained according to the ratio factor α, so as to dynamically adjust the pre-set spectrum resource allocation ratio in each period to meet the needs of mobile communications and avoid affecting the experience due to reduced service quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] The present invention will be further described below in conjunction with the accompanying drawings.

[0064] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0065] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0066] like Figure 1As shown, an intelligent communication method integrating mobile communication and broadcast communication according to an embodiment of the present invention comprises the following steps:

[0067] S1: Determine the activity time and divide the activity time into at least two time periods, and divide each time period into at least one communication cycle, recorded as cycle T i , i=1,2,3,...,n;

[0068] S2: Based on historical data analysis, a first spectrum resource allocation ratio corresponding to mobile communication, broadcast communication and reserved communication is set for each period, denoted as A Ti :B Ti :C, and A Ti +B Ti + C = 1;

[0069] S3: Real-time monitoring and calculation of the demand for mobile communications R in each cycle A_Ti , and according to the demand R A_Ti Get the adjustment scale factor α;

[0070] S4: Dynamically calculate the expected spectrum resource allocation ratio corresponding to mobile communication based on the adjustment ratio factor α, and then determine the adjusted second spectrum resource allocation ratio, denoted as A Ti_a :B Ti_a :C, and A Ti_a +B Ti_a + C = 1;

[0071] S5: When any period T i If an emergency occurs, the spectrum resource allocation ratio of reserved communication is combined with the spectrum resource allocation ratio of broadcast communication, which is recorded as A Ti_a :B Ti_a +C.

[0072] When large-scale events are held, the number of users gathered is too large and the communication spectrum resources in the local area are limited. As a result, the allocation of communication spectrum resources in the local area cannot meet the needs of users for mobile communication and broadcast communication, resulting in a poor user experience. If there is an emergency during the event, such as the need to evacuate the audience due to deteriorating weather, the mobile communication spectrum resources may be occupied by too many users, resulting in obstruction of the audience's mobile communication. Furthermore, due to unreasonable allocation of spectrum resources, the resources of broadcast communication are limited and notifications cannot be quickly disseminated, which results in the inability to effectively use spectrum resources for evacuation when an emergency occurs.

[0073] Based on the above, in one embodiment of the present invention, mobile communication is a network that provides communication services for mobile devices, such as 2G, 3G, 4G, 5G, etc., supporting functions such as voice calls, text messages, and data transmission; broadcast communication refers to a network used by TV stations or streaming media services for unidirectional transmission of video content to a large number of users, supporting live video and on-demand video, and is characterized by broadcast transmission, that is, sending the same content from one source to multiple receivers; the activity time is divided, and layered division is performed according to time periods-cycles, and a first spectrum resource allocation ratio for mobile communication, broadcast communication, and reserved communication is set for each cycle. In any cycle, according to the corresponding first spectrum resource allocation ratio, it can be effectively guaranteed that within any cycle, the allocation of spectrum resources is relatively reasonable to meet the usage requirements of mobile communication or broadcast communication. Furthermore, since the mobile communication within each cycle The first spectrum resource allocation ratio for mobile communication and broadcast communication is a preset value, so it needs to be dynamically adjusted according to the real-time situation. That is, in one embodiment, the adjustment ratio factor is calculated by obtaining the demand for mobile communication in any period, and then the spectrum resource allocation ratio is dynamically adjusted according to the adjustment ratio factor, so that the demand for mobile communication and broadcast communication in any period can be met, thereby improving the utilization rate of limited spectrum resources. In addition, it should be noted that in order to deal with an emergency situation and spread the emergency situation to all viewers as soon as possible, a reserved communication is also set in one embodiment of the present invention. When the existence of an emergency situation is detected, the spectrum resource allocation ratio of the reserved communication can be combined with the spectrum resource allocation ratio of the broadcast communication, thereby rapidly increasing the spectrum resources of the broadcast communication, ensuring that the emergency information can be quickly and widely conveyed to all viewers;

[0074] It is understandable that:

[0075] Taking a large-scale sports event as an example, the event preparation stage, event stage, and event ending stage are used as time periods, and each time period is further divided into cycles. Based on historical data analysis, the spectrum resource allocation ratios for mobile communications, broadcast communications, and reserved communications are set as follows:

[0076] Competition preparation stage: spectrum resource allocation ratio for mobile communication, broadcast communication and reserved communication is 0.5:0.3:0.2;

[0077] During the competition: the spectrum resource allocation ratio for mobile communication, broadcast communication and reserved communication is 0.3:0.5:0.2;

[0078] At the end of the competition: the spectrum resource allocation ratio for mobile communication, broadcast communication and reserved communication is 0.5:0.3:0.2;

[0079] In case of emergencies during the preparation stage of an event: the spectrum resource allocation ratio for mobile communications and broadcast communications is 0.5:0.5;

[0080] When an emergency occurs during an event: the spectrum resource allocation ratio for mobile communications and broadcast communications is 0.3:0.7;

[0081] When an emergency occurs at the end of the event: the spectrum resource allocation ratio for mobile communications and broadcast communications is 0.5:0.5;

[0082] It can be seen that during the event preparation stage, since broadcast communication does not require too many spectrum resources for live broadcast, its proportion is relatively small. During the event stage, since broadcast communication needs to be broadcast live, in order to ensure the quality of the live broadcast, the proportion of broadcast communication is relatively high. In addition, at each stage, if an emergency occurs, the spectrum resources reserved for communication will be merged with the spectrum resources for broadcast communication as soon as possible. The purpose is to quickly increase the proportion of spectrum resources for broadcast communication, thereby quickly spreading notifications to respond to emergencies and ensure that users can respond in an orderly manner.

[0083] Based on the above, the spectrum resource allocation ratio of mobile communication, broadcast communication and reserved communication is defined as the first spectrum resource allocation ratio, which is a preset value obtained based on historical data analysis. Due to the actual application stage, the actual spectrum resource ratio occupied by broadcast communication may differ from the preset first spectrum resource allocation ratio. Therefore, in actual application, the first spectrum resource allocation ratio is dynamically adjusted by obtaining real-time mobile communication demand to improve user experience and improve the utilization rate of limited spectrum resources.

[0084] In one embodiment, the method of dividing each time period into at least one communication cycle is:

[0085] Acquire a time period, and divide the time period by a preset communication cycle length, and acquire at least one communication cycle corresponding to the time period;

[0086] Real-time monitoring of the number of users;

[0087] When the number of users is higher than the preset value, the length of the communication cycle is shortened and the number of communication cycles is increased;

[0088] When the number of users is lower than the preset value, the length of the communication cycle is extended and the number of communication cycles is reduced.

[0089] By dynamically adjusting the number of communication cycles in each time period, the purpose is to allocate spectrum resources more effectively to adapt to changes in the number of users in different time periods. Taking large-scale sports events as an example, the time period can be divided into the event preparation stage, the event stage and the event end stage, and each stage can be further subdivided according to time. For example, in the event stage, 15 minutes can be used as the preset communication cycle to obtain at least one communication cycle. In this way, more communication resources can be provided when user demand is high, and resources can be saved when demand is low. When the number of users exceeds the preset value, the length of the communication cycle is shortened to increase the number of communication cycles, which can reduce the waiting time of the communication resources allocated to each user, thereby improving the quality of communication services and reducing call drops or data transmission delays. When the number of users is lower than the preset value, the length of the communication cycle is extended to reduce the number of communication cycles, which can reduce the frequency of network switching and management, reduce network operating costs, and maintain network efficiency. Through real-time monitoring and dynamic adjustment, the purpose is to quickly respond to changes in the number of users caused by emergencies (such as large-scale events or emergencies) and ensure stable operation of the communication network.

[0090] In one embodiment, the mobile communication demand R A_Ti The calculation method is:

[0091] Get T i Total data volume in the cycle D t , the total capacity of the network G t , actual network throughput N t , Maximum network throughput N max , Number of dropped calls T t , Total number of sessions T t_a ;

[0092] According to the formula:

[0093]

[0094] Based on the formula, T i The demand for mobile communication in a cycle R A_Ti , where w1, w2 and w3 are weight factors, and w1+w2+w3=1, which are allocated according to the importance of data traffic, user density and service quality.

[0095] In order to meet the communication needs of large-scale sports events, due to the limited communication spectrum resources, according to the preset spectrum resource allocation ratio, the spectrum resources of mobile communication or broadcast communication may be in short supply or wasted in the actual application stage. Therefore, it is necessary to make dynamic adjustments according to the actual situation. In one embodiment of the present invention, taking the spectrum resource allocation ratio corresponding to mobile communication as an example, in the actual application process, by obtaining data and calculating the demand of a communication network according to the data, the demand can be used to characterize the demand of the mobile communication or broadcast communication in T i Whether the spectrum resource ratio of mobile communication in the period needs to be adjusted; Among them, it is worth noting that the calculated demand R A_Ti It needs to be compared with the preset benchmark demand. If the real-time demand R A_Ti If it is greater than the baseline demand, the mobile communication should be increased in T i The spectrum resource allocation ratio within the period is adjusted downwards.

[0096] In addition, it should be noted that the above w1, w2 and w3 are weight factors, and are allocated according to the importance of data traffic, user density and service quality; the weight factors are based on establishing a hierarchical model, determining the relative importance of data traffic, user density and service quality through pairwise comparison, and obtaining the weights accordingly.

[0097] In one embodiment, the calculation method of the adjustment scale factor α is:

[0098] Get the demand for mobile communication R A_Ti ;

[0099] According to the formula:

[0100]

[0101] The adjustment scale factor α is calculated according to the formula, where R A_max T i Baseline demand during the period.

[0102] Based on the above, in the actual application process, the spectrum resource allocation ratio preset in each cycle may not meet the demand, resulting in reduced service quality of mobile communication. Therefore, in the actual application process, it is necessary to obtain real-time data and obtain the demand R corresponding to the mobile communication according to the real-time data. A_Ti In one embodiment of the present invention, the demand R corresponding to the mobile communication calculated based on the real-time data obtained above A_Ti Then, use the demand R A_TiThe adjustment ratio factor α is calculated with the reference demand, and then the updated second spectrum resource allocation ratio is obtained according to the ratio factor α, so as to dynamically adjust the spectrum resource allocation ratio preset in each period to meet the needs of mobile communications, avoid the impact on experience and waste of spectrum resources due to reduced service quality;

[0103] The benchmark demand comes from historical data. The historical data is obtained and analyzed, and the mobile communication demand in the historical data is calculated to obtain an average value, which is used as the benchmark demand.

[0104] In one embodiment, the method for adjusting the second spectrum resource allocation ratio is:

[0105] Get the adjustment scale factor α;

[0106] According to the formula:

[0107] A Ti_a =A Ti ×α

[0108] B Ti_a =B Ti +A Ti ×(1-α)

[0109] According to the formula, the second spectrum resource allocation ratio A is calculated. Ti_a :B Ti_a :C.

[0110] Since the spectrum resources are preset in each cycle, in actual application, they are not completely consistent with the preset spectrum resource allocation ratio. There may be a spectrum resource allocation ratio that mobile communication needs to account for a larger proportion. That is, in any cycle T i The demand for mobile communication is R A_Ti Greater than in this period T i Based on this, in one embodiment of the present invention, it is also necessary to dynamically adjust the spectrum resource allocation ratio in combination with the adjustment ratio factor α calculated by the real-time data to meet the demand; exemplary:

[0111] For example, in any period T i , the first spectrum resource allocation ratio is: 0.5:0.3:0.2;

[0112] According to the calculated adjustment factor α = 0.8, that is, the demand for mobile communication R A_Ti Less than the preset benchmark demand R in this cycle A_max , which can be understood as a waste of spectrum resources for mobile communications during this period;

[0113] Based on the above, the formula can be calculated:

[0114] A Ti_a =0.5×0.8=0.4

[0115] B Ti_a =0.3+0.5×(1-0.8)=0.4

[0116] Based on the above, since mobile communication in any period T i There is a waste of spectrum resources, so the second spectrum resource allocation ratio calculated according to the above formula can realize dynamic adjustment of spectrum resources, so that the spectrum resource allocation ratio is updated from 0.5:0.3:0.2 to: 0.4:0.4:0.2;

[0117] It is worth noting that since reserved communications are used in emergency situations, they are generally kept unchanged, and only the spectrum resources corresponding to mobile communications and broadcast communications are adjusted; when the adjustment scale factor α<1, the demand for mobile communications R A_Ti Less than the preset benchmark demand R in this cycle A_max , which can be understood as a waste of spectrum resources for mobile communications during this period; based on this, the extra spectrum resources for mobile communications can be allocated to broadcast communications to expand the audience of broadcast communications and reduce live broadcast delays; on the other hand, when the adjustment scale factor α>1, the demand for mobile communications R A_Ti Greater than the preset benchmark demand R in this cycle A_max , which can be understood as that during this period, the spectrum resources of mobile communication do not meet the demand, and part of the spectrum resources of broadcast communication needs to be allocated to mobile communication to meet the spectrum resource demand of mobile communication.

[0118] In one embodiment, the method for adjusting the second spectrum resource allocation ratio further includes:

[0119] Get T i Average video delay VE of broadcast communication during the period t_mean , preset video delay minimum value VE t_min , preset video delay maximum value VE t_max ;

[0120] According to the formula:

[0121]

[0122] Based on the formula, T is calculated i Periodic video delay index J Ti ;

[0123] Video delay index J Ti Compare with threshold θ:

[0124] When the video delay index J Ti is less than the threshold θ, then:

[0125] A Ti_a =A Ti ×α

[0126] B Ti_a =B Ti +A Ti ×(1-α)

[0127] When the video delay index J Ti is greater than or equal to the threshold θ, then:

[0128] A Ti_a =min(A Ti ×α,A Ti )

[0129]

[0130] According to the formula, the video delay index J is calculated. Ti The second spectrum resource allocation ratio A under the influence Ti_a :B Ti_a :C.

[0131] In actual application, if the adjustment scale factor α>1, it means that the demand R corresponding to mobile communication calculated based on real-time data is A_Ti Greater than the period T i The benchmark demand R A_max , that is, in this period T i In the spectrum resource of mobile communication, a larger proportion is needed. Based on the above, if the adjustment scale factor α = 1.2;

[0132] Then we can calculate it according to the formula:

[0133] A Ti_a =0.5×1.2=0.6

[0134] B Ti_a =0.3+0.5×(1-1.2)=0.2

[0135] Based on the calculation result of the above formula, the second spectrum resource allocation ratio can be expressed as: 0.6:0.2:0.2;

[0136] However, in actual application, although each cycle T iThe spectrum resource allocation ratio can be adjusted dynamically, but if the spectrum resource allocation ratio of mobile communication continues to increase, it will inevitably lead to a continuous decrease in the spectrum resources of broadcast communication, which will in turn affect the live broadcast content corresponding to the broadcast communication, such as freezing or delay. Based on this, in one embodiment of the present invention, the adjustment ratio factor α corresponding to mobile communication cannot be directly calculated according to the formula to prevent the spectrum resource ratio of broadcast communication from continuously decreasing, causing the live broadcast content to freeze. In one embodiment, it is also necessary to calculate the video delay index J corresponding to the broadcast communication. Ti , based on the video delay index J Ti The expression can be used to determine whether broadcast communication has been affected by mobile communication; wherein the value of the threshold θ is obtained based on historical data, specifically, the threshold θ of the real-time activity is determined based on similar activity types, activity levels, and the number of users;

[0137] For example, when the video delay index J Ti If it is less than the threshold value θ, it means that there is still room for adjustment of the spectrum resources for broadcast communication, which can be calculated according to the following formula;

[0138] A Ti_a =0.5×1.2=0.6

[0139] B Ti_a =0.3+0.5×(1-1.2)=0.2

[0140] When the video delay index J Ti If it is greater than or equal to the threshold value θ, it means that the spectrum resources for broadcast communication are already quite tight. Based on this, it is calculated according to the following formula:

[0141] A Ti_a =min(0.5×1.2,0.5)=0.5

[0142] B Ti_a =max(0.3+0.5×(1-1.2)×0.05,0.3)=max(0.295,0.3)

[0143] Based on the above calculation, we get A Ti_a =0.5, and B Ti_a =0.3;

[0144] That is to say, in this period T i Although the demand for mobile communication is R A_Ti Greater than the period T i The benchmark demand R A_maxHowever, if the proportion of spectrum resources for mobile communications is increased, broadcast communications will be affected, which will be manifested as live video freezes and obvious delays, affecting the viewing of live audiences. Therefore, based on the above formula, the period T is maintained. i The spectrum resource allocation ratio remains unchanged; in addition, it is worth noting that is a value less than 1, which is used to reduce the impact on the proportion of spectrum resources corresponding to broadcast communication. i If an emergency occurs, mobile communications will inevitably show an upward demand trend. Therefore, if it is not controlled, the spectrum resources of broadcast communications will be occupied, causing the channels of broadcast communications to be blocked, and then causing video freezes or high delays. Based on the above formula, even if an emergency occurs, the spectrum resources of broadcast communications will not be occupied. In the event of an emergency, the service quality of broadcast communications can be effectively guaranteed, thereby ensuring that the emergency can be dealt with in an orderly manner.

[0145] In one embodiment, the S2 further includes:

[0146] Matching the same first spectrum resource allocation ratio for periods belonging to the same time period;

[0147] The first spectrum resource allocation ratio of the next cycle will be determined at the end time node of the current cycle and automatically applied at the start time node of the next cycle.

[0148] In one embodiment, the method for setting the first spectrum resource allocation ratio corresponding to mobile communication, broadcast communication and reserved communication for each period based on historical data analysis is:

[0149] Collect historical activity data, including activity type, number of users, and activity time;

[0150] Clean and pre-process the collected historical activity data;

[0151] Use machine learning algorithms to model the relationship between activity data and communication needs;

[0152] Use historical data to train the model and adjust the model parameters to minimize the prediction error;

[0153] According to the activity data, the communication demand is predicted by using a relational model, and a first spectrum resource allocation ratio is determined.

[0154] In one embodiment of the present invention, by acquiring historical activity data, including activity type, activity level, number of users and activity time, a relationship model between activity data and communication demand is constructed based on the historical activity data, wherein the activity type can be understood as sports, public welfare, performing arts, etc., and the activity level is determined according to the popularity of the specific activity, and the number of users and activity time are obtained according to statistics; based on the above-established relationship model, the communication demand of the real-time activities can be predicted, and then the corresponding first spectrum resource allocation ratio can be output; wherein the first spectrum resource allocation ratio is inconsistent according to different cycles, so the relationship model can also output the first spectrum resource allocation ratio corresponding to different time periods according to the input activity type, activity level, real-time number of users and activity time;

[0155] Exemplary:

[0156] We collected data on 100 events of different types and levels in the past year, including: event type (sports, charity, performing arts), number of users (number of users participating in the event), and event time (date and time);

[0157] Clean the data, remove invalid and erroneous data, and perform one-hot encoding on activity types, for example:

[0158] Sports: [1,0,0]

[0159] Public welfare: [0,1,0]

[0160] Performance: [0,0,1]

[0161] Normalize the number of users and activity times.

[0162] Select the random forest algorithm as the prediction model, and the features include one-hot encoding of activity type, number of users, and activity time; divide the data set into a training set (80%) and a validation set (20%); set the random forest parameters: number of trees: 100, tree depth: unlimited, minimum number of leaf node samples: 10, use mean square error (MSE) as the loss function; find the optimal parameter combination through grid search; evaluate the model performance on the validation set and select the parameter combination with the smallest MSE.

[0163] Use optimal models to predict communication needs for upcoming events;

[0164] For example: there is an upcoming large-scale sports event, the event type is [1,0,0], the expected number of users is 10,000, and the event duration is 3 hours;

[0165] Input features into the model to predict communication needs;

[0166] Assume that historical data shows that the benchmark spectrum resource allocation ratio for similar activity types is 0.5 for mobile communications, 0.4 for broadcast communications, and 0.1 for reserved communications.

[0167] The model predicts that the communication demand for real-time activities is 20% higher than the baseline demand.

[0168] Calculate the adjusted initial allocation ratio: mobile communication is adjusted to 0.5*(1-0.2)=0.4, broadcast communication is adjusted to 0.4(1+0.2)=0.5, and reserved communication is 0.1.

[0169] In one embodiment, the machine learning algorithm includes one or more combinations of time series analysis, random forest algorithm, machine learning algorithm, such as linear regression, neural network or support vector machine.

[0170] In one embodiment, an intelligent communication system integrating mobile communication and broadcast communication includes:

[0171] Dynamic spectrum adjustment module, which is used to monitor the spectrum usage of mobile and broadcast communications and dynamically adjust spectrum allocation according to network traffic and user needs;

[0172] The spectrum sensing allocation module, based on spectrum sensing technology, discovers spectrum resources below the utilization threshold and allocates them to services with high demand;

[0173] The emergency response coordination module identifies emergency situations and coordinates the allocation of spectrum resources for mobile and broadcast communications to ensure efficient dissemination of critical information.

[0174] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An intelligent communication method integrating mobile communication and broadcast communication, characterized in that: The following steps are involved: S1: Determine the activity time and divide the activity time into at least two time periods, and divide each time period into at least one communication cycle, recorded as cycle T i , i=1,2,3,...,n; S2: Based on historical data analysis, a first spectrum resource allocation ratio corresponding to mobile communication, broadcast communication and reserved communication is set for each period, denoted as A Ti :B Ti :C, and A Ti +B Ti + C = 1; S3: Real-time monitoring and calculation of the demand for mobile communications in each cycle A_Ti , and according to the demand A_Ti Get the adjustment scale factor α; S4: Dynamically calculate the expected spectrum resource allocation ratio corresponding to mobile communication based on the adjustment ratio factor α, and then determine the adjusted second spectrum resource allocation ratio, denoted as A Ti_a :B Ti_a :C, and A Ti_a +B Ti_a + C = 1; S5: When any period T i If an emergency occurs, the spectrum resource allocation ratio of reserved communication is combined with the spectrum resource allocation ratio of broadcast communication, which is recorded as A Ti_a :B Ti_a +C.

2. The intelligent communication method integrating mobile communication and broadcast communication according to claim 1, characterized in that: The method of dividing each time period into at least one communication cycle is: Acquire a time period, and divide the time period by a preset communication cycle length, and acquire at least one communication cycle corresponding to the time period; Real-time monitoring of the number of users; When the number of users is higher than the preset value, the length of the communication cycle is shortened and the number of communication cycles is increased; When the number of users is lower than the preset value, the length of the communication cycle is extended and the number of communication cycles is reduced.

3. The intelligent communication method integrating mobile communication and broadcast communication according to claim 1, characterized in that: The mobile communication demand R A_Ti The calculation method is: Get T i Total data volume in the cycle D t , the total capacity of the network G t , actual network throughput N t , Maximum network throughput N max , Number of dropped calls T t , Total number of sessions T t_a ; According to the formula: Based on the formula, T i The demand for mobile communication in a cycle R A_Ti , where w1, w2 and w3 are weight factors, and w1+w2+w3=1, which are allocated according to the importance of data traffic, user density and service quality.

4. The intelligent communication method integrating mobile communication and broadcast communication according to claim 1, characterized in that: The calculation method of the adjustment scale factor α is: Get the demand for mobile communication R A_Ti ; According to the formula: The adjustment scale factor α is calculated according to the formula, where R A_max T i Baseline demand during the period.

5. The intelligent communication method integrating mobile communication and broadcast communication according to claim 1, characterized in that: The method for adjusting the second spectrum resource allocation ratio is: Get the adjustment scale factor α; According to the formula: A Ti_a =A Ti ×α B Ti_a =B Ti +A Ti ×(1-a) According to the formula, the second spectrum resource allocation ratio A is calculated. Ti_a :B Ti_a :C.

6. The intelligent communication method integrating mobile communication and broadcast communication according to claim 5, characterized in that: The method for adjusting the second spectrum resource allocation ratio further includes: Get T i Average video delay VE of broadcast communication during the period t_mean , preset video delay minimum value VE t_min , preset video delay maximum value VE t_max ; According to the formula: Based on the formula, T is calculated i Periodic video delay index J Ti ; Video delay index J Ti Compare with threshold θ: When the video delay index J Ti is less than the threshold θ, then: A Ti_a =A Ti ×α B Ti_a =B Ti +A Ti ×(1-a) When the video delay index J Ti is greater than or equal to the threshold θ, then: IN Ti_a =min(A Ti ×α,A Ti ) According to the formula, the video delay index J is calculated. Ti The second spectrum resource allocation ratio A under the influence Ti_a :B Ti_a :C.

7. The intelligent communication method integrating mobile communication and broadcast communication according to claim 1, characterized in that: The S2 further includes: Matching the same first spectrum resource allocation ratio for periods belonging to the same time period; The first spectrum resource allocation ratio of the next cycle will be determined at the end time node of the current cycle and automatically applied at the start time node of the next cycle.

8. The intelligent communication method integrating mobile communication and broadcast communication according to claim 1, characterized in that: The method for setting the first spectrum resource allocation ratio corresponding to mobile communication, broadcast communication and reserved communication for each period based on historical data analysis is: Collect historical activity data, including activity type, number of users, and activity time; Clean and pre-process the collected historical activity data; Use machine learning algorithms to model the relationship between activity data and communication needs; Use historical data to train the model and adjust the model parameters to minimize the prediction error; According to the activity data, the communication demand is predicted by using a relational model, and a first spectrum resource allocation ratio is determined.

9. The intelligent communication method integrating mobile communication and broadcast communication according to claim 8, characterized in that: The machine learning algorithm includes time series analysis, random forest algorithm, machine learning algorithm, such as linear regression, neural network or support vector machine, or one or more combinations thereof.

10. An intelligent communication system integrating mobile communication and broadcast communication, characterized in that: include: Dynamic spectrum adjustment module, which is used to monitor the spectrum usage of mobile and broadcast communications and dynamically adjust spectrum allocation according to network traffic and user needs; The spectrum sensing allocation module, based on spectrum sensing technology, discovers spectrum resources below the utilization threshold and allocates them to services with high demand; The emergency response coordination module identifies emergency situations and coordinates the allocation of spectrum resources for mobile and broadcast communications to ensure efficient dissemination of critical information.

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