WO2014121686A1

WO2014121686A1 - Perception detection method and system based on cognitive radio system

Info

Publication number: WO2014121686A1
Application number: PCT/CN2014/070868
Authority: WO
Inventors: 李媛媛; 蒋成钢; 白文岭; 杨宇; 胡金玲
Original assignee: 电信科学技术研究院
Priority date: 2013-02-06
Filing date: 2014-01-20
Publication date: 2014-08-14
Also published as: CN103973378B; CN103973378A

Abstract

Disclosed are a perception detection method and system based on a cognitive radio system. The method comprises: according to a preset statistical strategy, determining at least one statistical time from the ending time of the previous perception detection time period to the beginning time of the next perception detection time period to perform statistics on a system performance; when the system performance meets the designated performance, comparing the time interval from the current statistical time to the beginning time of the next perception detection time period and a preset time interval; when the time interval from the current statistical time to the beginning time of the next perception detection time period is greater than and equal to the preset time interval, adjusting the beginning time of the next perception detection time period as the sum of the current statistical time and the time duration X; and re-determining the next perception detection time period by using the adjusted beginning time of the next perception detection time period, and performing perception detection in the re-determined next perception detection time period.

Description

Perceptual detection method and system based on cognitive radio system

This application claims priority to Chinese Patent Application No. 201310047718.1, entitled "Cognitive Detection System and System Based on Cognitive Radio System", submitted to the Chinese Patent Office on February 6, 2013. The citations are incorporated herein by reference. TECHNICAL FIELD The present invention relates to the field of communications technologies, and in particular, to a cognitive detection system and system based on cognitive radio systems. Background of the invention

Radio communication frequency is a precious natural resource. With the development of wireless communication technology, the problem of poor spectrum resources is becoming more and more serious. In order to alleviate the current situation of spectrum resources, some frequency bands are found through monitoring and research on the wireless communication spectrum. The TV band is not used most of the time or is not used in most areas, and in some bands there is a situation in which multiple systems and multiple users compete at the same time, that is, there is an imbalance in the use of spectrum resources. The concept of cognitive radio is generated in this context. The basic idea is: Under the premise of not causing interference to the authorization system, the sensing system dynamically and opportunistically accesses the blank frequency band for communication by monitoring changes in the current wireless environment. .

The application scenarios of cognitive radio are mainly divided into two categories. The first type is the spectrum of the opportunistic use authorization system. The second type is the multiple use of a certain sensing system to use a certain frequency band, which is not affiliated with any system. Multiple sensing systems use a certain frequency band fairly, that is, when a certain frequency point is idle, or when a certain frequency band is used (unfairly), a certain frequency band, that is, when a certain higher priority system is used. At a certain frequency, the low priority system will exit the use of the corresponding frequency.

For the first type of scenario and the second type of unfair scenario, the service performance of the authorization system or the high priority awareness system is required to be based on this requirement: (1) The sensing system can accurately determine which frequency bands are available white space bands ( When a certain sensing system is introduced in these frequency bands, it will not affect the normal operation of the authorization system or higher priority-aware systems. (2) When the occupied frequency band is no longer available, the sensing system needs to be able to relinquish these frequency bands to the authorization in time. System or higher priority aware system. In order to implement the sensing detection, it is required that the sensing device (which is mostly a base station device) scans the working frequency point and the alternate frequency point. Considering that the bandwidth of the sensing detection device cannot contain the entire detection frequency band, the detection is mostly a periodic scanning mode. That is, the detection of a certain frequency point needs to be separated by a certain period of time before the frequency point can be detected again. Therefore, the detection parameters involved in performing the sensing detection include: a sensing detection period, which is required to be detected again after a sensing detection period time for a certain frequency point; the sensing detection period, the sensing detection The time period is also referred to as a silent time period, and it is required to perform perceptual detection within the perceptual detection period.

SUMMARY OF THE INVENTION Embodiments of the present invention provide a cognitive detection method and system based on a cognitive radio system to dynamically adjust a sensing detection time period and improve system throughput.

An embodiment of the present invention provides a cognitive detection method based on a cognitive radio system, including: the sensing system determines, according to a preset statistical policy, between an end time of a last sensing detection time period and a start time of a next sensing detection time period. Statistics on system performance at least one statistical time;

When the system performance meets the specified performance situation, the sensing system compares the time interval between the current statistical time and the start time of the next sensing detection time period with a preset time interval;

When the time interval between the current statistical time and the start time of the next sensing detection time period is greater than or equal to the preset time interval, the sensing system adjusts the starting time of the next sensing detection time period to The sum of the current statistic time and the length of time X; the length of time X is the length of time that the sensing system is configured to be greater than or equal to zero and less than the preset time interval;

The sensing system re-determines the next perceptual detection period using the adjusted start time of the next perceptual detection period, and performs perceptual detection in the re-determined next perceptual detection period.

The embodiment of the invention provides a sensing system, including:

Processor

Memory

And a plurality of instruction modules stored in the memory that are executable by the processor; the plurality of instruction modules comprising:

a statistics module, configured to preset, according to a preset statistical policy, an end time of the last sensing detection period The system performance is determined by determining at least one statistical moment between the start time of a sensing detection time period; and the comparing module is configured to compare the current statistical time to the beginning of the next sensing detection time period when the system performance meets the specified performance condition The time interval between times and the preset time interval;

a processing module, configured to adjust a start time of the next perceptual detection time period when the time interval between the current statistical time and the start time of the next perceptual detection time period is greater than or equal to the preset time interval Determining the sum of the current statistic time and the length of time X, and re-determining the next perceptual detection time period by using the adjusted start time of the next perceptual detection time period; wherein the time length X is greater than the configuration of the sensing system a length equal to zero and less than the preset time interval;

The detecting module is configured to perform sensing detection in the re-determined next sensing detection period.

In the embodiment of the present invention, the sensing detection time period (the start time of the sensing detection time period to the end time of the sensing detection time period) is dynamically adjusted by sensing the system performance of the system, thereby reducing the execution of the sensing detection during the sensing detection time period. The impact on the performance of the system can be improved, and the performance of the sensing system can be improved. Further, the embodiment of the present invention can improve the system throughput and improve the user experience. BRIEF DESCRIPTION OF THE DRAWINGS In order to more clearly illustrate the technical solutions of the present invention, the drawings used in the description of the embodiments will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the present invention. For those skilled in the art, other drawings may be obtained based on these drawings without any creative work.

FIG. 1 is a schematic diagram of an application scenario in an embodiment of the present invention.

FIG. 2 is a schematic flow chart of a cognitive detection method based on a cognitive radio system according to an embodiment of the present invention.

FIG. 3 is a schematic diagram of an application scenario in another embodiment of the present invention.

FIG. 4 is a schematic diagram of a flow of a cognitive detection system based on a cognitive radio system according to another embodiment of the present invention.

FIG. 5 is a schematic structural diagram of a sensing system according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The technical solutions in the present invention will be clearly and completely described below in conjunction with the drawings in the present invention. It is apparent that the described embodiments are only a part of the embodiments of the invention, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present invention without departing from the inventive scope are the scope of the present invention.

In the existing perceptual detection process, once the perceptual detection time period is determined, it will not be adjusted again. During the perceptual detection time period, all services need to be terminated and perceptual detection is performed; if the perceptual detection time period is not set properly, then the perceptual detection is performed. When the service load of the system is heavy, all services may need to be interrupted. As a result, more terminals in the sensing system are suspended, which has a huge impact on system throughput and user experience.

In view of this, embodiments of the present invention provide a cognitive detection method and system based on a cognitive radio system to dynamically adjust a sensing detection time period and improve system throughput. In the embodiment of the present invention, the sensing detection period (the starting time of the sensing detection period to the ending time of the sensing detection period) is dynamically adjusted by sensing the system performance of the system, thereby reducing the execution of the sensing during the sensing detection period. The impact on the performance of the sensing system is detected, and the performance of the sensing system can be improved. Further, the embodiment of the present invention can improve the system throughput and improve the user experience.

The technical solutions in the present invention are described below in conjunction with the accompanying drawings and specific embodiments. An embodiment of the present invention provides a cognitive detection system based on a cognitive radio system (CR system), in which the sensing system needs to perform sensing detection in a sensing detection period (also referred to as a silent period). In the sensing detection process, the sensing system needs to terminate all services; wherein, the sensing detection time period is specifically: a start time of the sensing detection time period to an end time of the sensing detection time period; and, in the sensing detection method, the sensing system The perceptual detection needs to be performed periodically. Based on this, the perceptual detection period needs to be set. (The representation needs to be detected again after the perceptual detection period for a certain frequency point, that is, the start time of the last perceptual detection period to the next perceptual detection time. The time interval between the start times of the segments; the detection pattern can be determined based on the perceptual detection period and the perceptual detection period, and the perceptual detection is determined based on the detection pattern.

FIG. 1 is a schematic diagram of an application scenario according to an embodiment of the present invention. The perceptual detection period is T_pre, and the two consecutive sensing detection periods are T_sensing_pre_l and T_sensing_pre_2. When the sensing system works normally at a certain frequency, it needs to perform periodicity according to the sensing detection parameters. The sensing detection process, that is, performing sensing detection in T_sensing_pre_l, performing sensing detection in T_sensing_pre_2, and performing normal operation at the end time of T_sensing_pre_l to the start time of T_sensing_pre_2.

Based on the foregoing application scenario, as shown in FIG. 2, the method includes the following steps:

Step 201: During the working process, the sensing system is in the last sensing detection according to the preset statistical policy. The system performance is determined by determining at least one statistical time between the end time of the interval and the start time of the next sensing detection time period.

In the embodiment of the present invention, the preset statistical policy may be used to perform statistics on system performance according to a time window manner, or may perform statistics on system performance according to real-time statistics, or may be performed on a system according to a specified time. Performance is counted.

In a preferred embodiment of the present invention, a policy for performing statistics on system performance according to a time window manner, the sensing system according to a preset statistical policy, at an end time of the last perceptual detection time period to a next perceptual detection time period. Determining the system performance by determining the at least one statistical moment between the start time includes: the sensing system divides the end time of the last perceptual detection time period to the start time of the next perceptual detection time period into at least one detection sliding window, and At least one detects the statistical system performance within the sliding window.

Of course, in the specific implementation, it is not limited to the statistical system performance in detecting the sliding window, and the strategy for counting the system performance according to the real-time statistical manner, and the sensing system is at the end of the last sensing detection time period to the next sensing. Between the start time of the detection period, the system performance is calculated in real time; or, for the strategy of counting the system performance according to the specified time, the sensing system is at the end of the last perceptual detection period to the next perceptual detection period. The system performance and the like are counted in the specified time point (or the specified time period). The detailed processing of the two policies and other statistical policies in the embodiment of the present invention will not be described again.

In the application scenario shown in FIG. 1 , after the T_sensing_pre_1 performs the sensing detection process, the sensing system performs normal operation. At this time, the last sensing detection time period is T_sensing_pre_l, and the next sensing detection time period is T_sensing_pre_2; The sensing system needs to divide the ending time of T_sensing_pre_1 to the starting time of T_sensing_pre_2 into at least one detecting sliding window, and the specific detecting sliding window dividing manner is as shown in FIG. 1 .

Step 202: The sensing system determines whether the system performance meets the specified performance condition; if yes, step 203 is performed; if no, step 206 is performed.

In the embodiment of the present invention, the sensing system detects the performance of the statistical system in the sliding window, and determines whether the system performance in the detecting sliding window meets the specified performance condition; if yes (ie, the system performance in the detecting sliding window satisfies the specified performance condition) Then, step 203 is performed; if no (ie, all the system performances in the detection sliding window do not satisfy the specified performance condition), step 206 is performed.

In the embodiment of the present invention, the foregoing system performance includes but is not limited to one or any combination of the following: The number of terminals currently scheduled by the system; the traffic volume currently scheduled by the sensing system; the ratio of the number of emergency services (such as call services) currently scheduled by the sensing system to the total number of services.

Further, the sensing system determines that the system performance in the detecting sliding window satisfies the specified performance condition or does not detect that the system performance in the sliding window satisfies the specified performance, including but not limited to the following manners:

Manner 1: When the number of terminals scheduled by the sensing system in the detecting sliding window is not greater than a preset number of thresholds, the sensing system determines that the system performance in the detecting sliding window meets the specified performance condition; otherwise, the sensing system determines that the detecting sliding window is The system performance does not meet the specified performance.

Manner 2: When the sensing system is configured to detect that the traffic volume in the sliding window is not greater than the preset traffic threshold, the sensing system determines that the system performance in the detecting sliding window meets the specified performance condition; otherwise, the sensing system determines the detecting sliding window. The performance of the system does not meet the specified performance.

Manner 3: When the ratio of the number of emergency services (such as call service) scheduled by the sensing system in the detection sliding window to the total number of services is not greater than a preset proportion threshold, the sensing system determines that the system performance in the detection sliding window meets the specified Performance condition; otherwise, the sensing system determines that the performance of the system within the detection sliding window does not meet the specified performance.

Manner 4: When the number of terminals scheduled by the sensing system in the detecting sliding window is not greater than a preset threshold, and the traffic volume is not greater than a preset traffic threshold, the sensing system determines that the system performance in the detecting sliding window meets the specified performance. Otherwise, the sensing system determines that the performance of the system within the detection sliding window does not meet the specified performance.

Manner 5: When the number of terminals scheduled by the sensing system in the detecting sliding window is not greater than a preset threshold, and the ratio of the number of emergency services to the total number of services is not greater than a preset proportion threshold, the sensing system determines that the detecting sliding window The system performance meets the specified performance; otherwise, the sensing system determines that the system performance within the detection sliding window does not meet the specified performance.

Manner 6: When the sensing system is configured to detect that the traffic volume in the sliding window is not greater than the preset traffic threshold, and the ratio of the number of emergency services to the total number of services is not greater than a preset proportion threshold, the sensing system determines the detection sliding window. The system performance meets the specified performance; otherwise, the sensing system determines that the system performance within the detection sliding window does not meet the specified performance.

Manner: The number of terminals scheduled by the sensing system in the detection sliding window is not greater than a preset threshold, and the traffic volume is not greater than a preset traffic threshold, and the ratio of the number of emergency services to the total number of services is not greater than a preset proportion gate. The time limit, the sensing system determines that the performance of the system within the detection sliding window meets the specified performance; otherwise, It is determined that the performance of the system within the detection sliding window does not meet the specified performance.

In the embodiment of the present invention, in the statistical process, if the sensing system determines that the performance of the system in the detection sliding window meets the specified performance, the current system load of the sensing system is not large, and the entire network can be vacated for silence. Performing the sensing detection in the gap, the following step 203 is performed; in the statistical process, if the sensing system determines that the performance of the system in all the detecting sliding windows does not meet the specified performance, the current system load of the sensing system is large, which is not conducive to The vacant time slot performs silent and perceptual detection, and a subsequent step 206 needs to be performed.

Step 203: The sensing system compares the time interval T_inter between the current statistical time and the start time of the next sensing detection time period (such as T_sensing_pre_2) and the preset time interval (set according to the actual experience value). In the embodiment of the present invention, the current The statistical moment is specifically as follows: The system performance meets the specified performance situation and the end time of the detection sliding window. Further, if the time interval T_inter between the end time of detecting the sliding window and the start time of the next sensing detection time period is greater than or equal to the preset time interval, step 204 is performed; if the end time of the sliding window is detected to the next sensing time The time interval T_inter between the start times of the segments is less than the preset time interval, and step 206 is performed.

Step 204: The sensing system adjusts the start time of the next sensing detection time period to be the sum of the current statistical time and the time length X.

In a preferred implementation manner of the embodiment of the present invention, the sensing system adjusts the starting time of the next sensing detection time period to include, but is not limited to, the following manner: The sensing system adjusts the starting time of the next sensing detection time period to detect the sliding window (ie, the system) The sum of the end time of the detection sliding window that meets the specified performance condition and the length X of the time; the length X is greater than or equal to zero and less than the length of time of the preset time interval, and the length X is configured by the sensing system; For example, the base station of the sensing system is configured according to factors such as scheduling capability. For example, when the scheduling capability of the base station is high, the value of the length X can be configured to be small when the quiet period is vacant according to the scheduling; otherwise, the length of time X is The value of the configuration is larger.

Step 205: The sensing system re-determines the next sensing detection time period by using the adjusted starting time of the next sensing detection time period, and performs sensing detection in the re-determined next sensing detection time period.

In the embodiment of the present invention, the sensing system re-determining the next sensing detection time period by using the adjusted starting time of the next sensing detection time period includes but is not limited to the following manner: The sensing system re-determines the ending time of the next sensing detection time period as The sum of the start time of the adjusted next sensing detection period and the length of time Y; after that, the sensing system re-determines the next sensing detection time period as the adjusted next sensing detection The start time of the time period is measured to the end time of the newly determined next sensing time period.

It should be noted that the length Y is a length of time greater than or equal to zero, which is configured by the sensing system. The value of the time length Y can be determined by the detection algorithm and the detection precision. When the detection algorithm is sensitive, the detection precision is When the requirement is not high, the value of the length Y can be configured to be small; otherwise, the value of the length Y can be configured to be larger.

When performing perceptual detection in the re-determined next perceptual detection time period, the sensing system may not schedule any service directly in the re-determined next perceptual detection time period, and perform sensing in the re-determined next perceptual detection time period. The detection system may notify the terminal of the relevant parameters of the re-determined next perceptual detection time period. During the perceptual detection time period, the network side does not send any data, and the terminal does not receive or upload any data, thereby re-determining Perceptual detection during the next perceptual detection period.

In the embodiment of the present invention, after the re-determination of the next perceptual detection period, the sensing system needs to utilize the re-determined next perceptual detection period (T_sensing_new_2) and the perceptual detection period (T_new, T_new is greater than T_limit, where T_limit is guaranteed Perceptual detection accuracy, minimum requirement for perceptual detection period, generally, T_new is equal to T_pre) Updates the perceptual detection pattern, and presets the next perceptual detection period, and the start time of the next preset perceptual detection period is from the current The time interval between the start times of the sensing detection period is T_new.

Step 206: The sensing system performs the sensing detection in the next sensing detection period (such as T_sensing_pre_2), and the specific sensing detection process is not described in detail herein.

In summary, in the embodiment of the present invention, the sensing detection period is dynamically adjusted by sensing the system performance of the system, thereby reducing the impact of performing sensing detection on the performance of the sensing system during the sensing detection period, and improving the sensing. The performance of the system; further, the system throughput can be improved and the user experience can be improved in the embodiment of the present invention.

FIG. 3 is a schematic diagram of an application scenario according to another embodiment of the present invention. The embodiments of the present invention are described in detail below with reference to the application scenario shown in FIG. In the application scenario shown in FIG. 3, it is assumed that the current sensing system is a TDD-LTE system, and the TDD-LTE system operates at a frequency point fl. The specific sensing detection period and the sensing detection period are as shown in FIG. 3. Wherein, T_sensing_l represents an initial first sensing detection time period, and T_sensing_2 represents a second sensing detection time period determined according to a prescribed sensing detection period after the first sensing detection time period (T_sensing_l); T_sensing_new_2 indicates that the time period is T_sensing_new_2 After the method provided by the embodiment of the present invention, the second sensing detection time period is dynamically reset; T_sensing_3 indicates that the method is reset. After the second perceptual detection period (T_sensing_new_2), the third perceptual detection period is determined according to the specified perceptual detection period; T_sensing_new_3 represents the third dynamically reset after using the method provided by the embodiment of the present invention In the embodiment of the present invention, T represents a perceptual detection period, and in the embodiment of the present invention, the perceptual detection period T is not adjusted, and is always T.

Based on the above application scenario, in the cognitive detection system (CR system)-based sensing detection method proposed by the embodiment of the present invention, the TDD-LTE system works on the frequency point fl, and needs to perform the first sensing detection in the T_sensing_l. If the authorization system is not found, the TDD-LTE system needs to perform the second perceptual detection in T_sensing_2 according to the perceptual detection period, and performs normal operation at the end time of T_sensing_l to the beginning of T_sensing_2.

Based on the above application scenario, as shown in FIG. 4, the method includes the following steps.

Step 401: The TDD-LTE system divides the end time of T_sensing_l to the start time of T_sensing_2 into N detection sliding windows during the working process.

Step 402: The TDD-LTE system sequentially counts system performance in each detection sliding window, and determines whether the system performance in the detection sliding window meets the specified performance.

In this embodiment, the system performance is the current traffic volume of the TDD-LTE system, and the traffic volume (data_amount) scheduled by the TDD-LTE system in the detection sliding window is not greater than the preset traffic threshold. (data_limit); If there is a detection that the traffic volume scheduled in the sliding window is not greater than the preset traffic threshold, it is proved that the current traffic of the system is not high, and the entire network can be vacated for silence, and the sensing detection is performed in the silent time slot. And performing the following step 403; if all the traffic scheduled in the sliding window is greater than the preset traffic threshold, it proves that the current traffic of the system is high, and from the perspective of the performance of the TDD-LTE system, it is not conducive to performing silence on the vacated time slot. And the perceptual detection, performing the subsequent step 406.

Step 403: When there is a condition that the system performance in the detection sliding window meets the specified performance, the TDD-LTE system needs to determine the time interval between the end time of detecting the sliding window and the starting time of the next sensing detection time period (T_sensing_2). Whether the T_inter is greater than or equal to the preset time interval (set according to the actual experience value); if the time interval T_inter between the end time of detecting the sliding window and the start time of the next sensing detection time period is greater than or equal to the preset time interval, performing subsequent Step 404: If the time interval T_inter between the end time of detecting the sliding window and the start time of the next sensing detection time period is less than the preset time interval, the subsequent step 406 is performed.

Step 404, the TDD-LTE system adjusts the start time of the next sensing detection time period; In the application scenario, the next sensing detection time period is T_sensing_new_2, that is, the starting time of the next sensing detection time period is the starting time of T_sensing_new_2.

In an embodiment, the TDD-LTE system adjusts the start time of the next sensing detection period to: detecting the sum of the ending time of the sliding window and the length of time X; the length of time X is a length of time greater than or equal to zero, and the length of time The X is configured by the base station of the TDD-LTE system based on the scheduling capability and the like. For example, when the scheduling capability of the base station is high, the value of the length X can be configured to be small when the quiet period is vacant according to the scheduling; otherwise, the time is set. The value of the length X is configured to be larger.

For the above step 405, the TDD-LTE system re-determines the end time of the next perceptual detection period (ie, the end time of T_sensing_new_2) as the start time and the length Y of the T_sensing_new_2 (the length Y is a length of time greater than or equal to zero, The TDD-LTE system is configured; the value of the time length Y can be determined by the detection algorithm and the detection precision. When the detection algorithm is sensitive and the detection accuracy is not high, the value of the time length Y can be configured less; Otherwise, the sum of the values of the lengths Y may be configured to be larger; the next perceptual detection period (T_sensing_new_2) is determined as the start time of T_sensing_new_2 to the end time of T_sensing_new_2; and is performed within the re-determined perceptual detection period Perceptual detection.

In the embodiment of the present invention, when the sensing detection is performed within the re-determined sensing detection time period (T_sensing_new_2), the TDD-LTE system may not directly schedule any service in T_sensing_new_2 and perform sensing detection in T_sensing_new_2; or, TDD-LTE The system can notify the terminal of the relevant parameters of T_sensing_new_2. In T_sensing_new_2, the network does not send any data, and the terminal does not receive or upload any data, and performs sensing detection in D_86^8_^\¥_2.

In the embodiment of the present invention, after the TDD-LTE system re-determines the sensing detection time period as T_sensing_new_2, it also needs to update the sensing detection pattern by using the re-determined T_sensing_new_2 and the sensing detection period, and preset the next sensing detection time period, that is, T_sensing_3.

Step 406: The TDD-LTE system waits for the sensing detection in the next sensing detection period (ie, T_sensing_2); if the authorization system is not found, after the second sensing detection period, according to the sensing detection period T, The third sensing detection time period, namely T_sensing_3.

Based on the same inventive concept as the above method, an embodiment of the present invention further provides a sensing system. As shown in FIG. 5, the sensing system includes:

Processor 502; Memory 504;

And a plurality of instruction modules stored in the memory 502 that are executable by the processor 502; the plurality of instruction modules comprising:

The statistic module 11 is configured to determine, according to a preset statistical policy, at least one statistical moment between the end time of the last sensing detection time period and the start time of the next sensing detection time period to calculate system performance;

The comparison module 12 is configured to compare a time interval between a current statistical time and a start time of the next sensing detection time period and a preset time interval when the system performance meets the specified performance condition;

The processing module 13 is configured to: when the time interval between the current statistical time and the start time of the next sensing detection time period is greater than or equal to the preset time interval, adjust a start time of the next sensing detection time period to a sum of the current statistical time and the length of time X, and re-determining the next sensing detection time period by using the adjusted starting time of the next sensing detection time period; wherein the time length X is configured by the sensing system a length of time greater than or equal to zero and less than the preset time interval;

The detecting module 14 is configured to perform sensing detection in the re-determined next sensing detection period. The statistic module 11 is configured to divide the end time of the last perceptual detection period to the start time of the next perceptual detection period into at least one detection sliding window, and perform system performance in the at least one detection sliding window. When the system performance meets the specified performance, the current statistical moment is specifically: the end time of the detection sliding window in which the system performance meets the specified performance condition.

The system performance of the statistics module 11 includes one or any combination of the following: the number of terminals currently scheduled by the sensing system; the traffic volume currently scheduled by the sensing system; the number of emergency services currently scheduled by the sensing system accounts for all services proportion.

The statistic module 11 is specifically configured to: when the number of terminals scheduled by the sensing system in the detecting sliding window is not greater than a preset threshold, determine that the system performance in the detecting sliding window meets the specified performance, otherwise, determining the Detecting that the performance of the system in the sliding window does not meet the specified performance; or

When the sensing system detects that the traffic volume in the sliding window is not greater than the preset traffic threshold, determining that the system performance in the detecting sliding window meets the specified performance, otherwise, determining that the system performance in the detecting sliding window is not Meet the specified performance; or,

When the ratio of the number of emergency services scheduled by the sensing system in the detecting sliding window to the total number of services is not greater than a preset proportion threshold, determining that the system performance in the detecting sliding window meets the specified performance condition, otherwise, Determining that the performance of the system in the detection sliding window does not meet the specified performance condition; or, when the sensing system detects that the number of terminals scheduled in the sliding window is not greater than a preset number of thresholds, and the traffic volume is not greater than a preset traffic threshold, Determining that the performance of the system in the detection sliding window meets the specified performance condition; otherwise, determining that the performance of the system in the detection sliding window does not meet the specified performance; or

When the number of terminals scheduled by the sensing system in the detecting sliding window is not greater than a preset threshold, and the ratio of the number of emergency services to the total number of services is not greater than a preset proportional threshold, determining that the system performance in the detecting sliding window meets the specified Performance, otherwise, determining that the performance of the system within the detection sliding window does not meet the specified performance; or

Determining that the system performance in the detection sliding window is satisfied when the sensing system is configured to detect that the traffic volume in the sliding window is not greater than the preset traffic threshold, and the ratio of the number of emergency services to the total number of services is not greater than a preset proportion threshold. Specify performance conditions, otherwise, determine that the system performance in the detection sliding window does not meet the specified performance; or

When the number of terminals scheduled by the sensing system in the detection sliding window is not greater than the preset threshold, and the traffic volume is not greater than the preset traffic threshold, and the ratio of the number of emergency services to the total number of services is not greater than the preset proportion threshold, The system performance in the detection sliding window satisfies a specified performance condition; otherwise, it is determined that the system performance in the detection sliding window does not satisfy the specified performance condition.

The detecting module 14 is further configured to perform sensing detection during the next sensing detection period when the system performance does not satisfy the specified performance.

The detecting module 14 is further configured to: when the time interval between the current statistical time and the start time of the next sensing detection time period is less than the preset time interval, in the next sensing detection time period Perceptual detection within.

The processing module 13 is specifically configured to re-determine the end time of the next perceptual detection period as the sum of the start time of the next perceptual detection period and the length Y of the adjustment; wherein, the length Y is a length of time greater than or equal to zero, and configured by the sensing system;

The next perceptual detection period is re-determined as the start time of the adjusted next perceptual detection period to the end of the re-determined next perceptual detection period.

The modules of the device of the present invention may be integrated into one or may be deployed separately. The above modules can be combined into one module or further split into multiple sub-modules.

Through the description of the above embodiments, those skilled in the art can clearly understand the present invention. It can be implemented by means of software plus the necessary general hardware platform, of course, it can also be through hardware, but in many cases the former is a better implementation. Based on this understanding, the technical solution of the present invention is essentially stored in a storage medium, including a plurality of instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform various embodiments of the present invention. Said method.

Those skilled in the art will appreciate that the drawings are only a schematic representation of a preferred embodiment, and that the modules or processes in the drawings are not necessarily required to practice the invention.

It will be understood by those skilled in the art that the modules in the apparatus in the embodiments may be distributed in the apparatus of the embodiment as described in the embodiments, or may be correspondingly changed in one or more apparatuses different from the embodiment. The modules of the above embodiments may be combined into one module, or may be further split into a plurality of sub-modules.

The above disclosure is only a few specific embodiments of the present invention, but the present invention is not limited thereto, and any changes that can be considered by those skilled in the art should fall within the protection scope of the present invention.

Claims

claims

1. A sensing detection method based on a cognitive radio system, which is characterized by including: The sensing system performs detection according to a preset statistical strategy between the end of the previous sensing detection time period and the start of the next sensing detection time period. Determine at least one statistical time to perform statistics on system performance;

When the system performance meets the specified performance condition, the sensing system compares the time interval between the current statistical time and the start time of the next sensing detection time period with the preset time interval;

When the time interval between the current statistical time and the starting time of the next sensing detection time period is greater than or equal to the preset time interval, the sensing system adjusts the starting time of the next sensing detection time period to be the The sum of the current statistical moment and the time length X; the time length X is a time length configured by the sensing system that is greater than or equal to zero and less than the preset time interval;

The perception system uses the adjusted start time of the next perception detection time period to re-determine the next perception detection time period, and performs perception detection within the redetermined next perception detection time period.

2. The method of claim 1, wherein the perception system determines at least one between the end time of the previous perception detection time period and the start time of the next perception detection time period according to a preset statistical strategy. System performance statistics are collected at statistical times, including:

The perception system divides the end time of the previous perception detection time period to the start time of the next perception detection time period into at least one detection sliding window, and counts system performance within the at least one detection sliding window;

When the system performance meets the specified performance condition, the current statistical time is specifically: the end time of the detection sliding window when the system performance meets the specified performance condition.

3. The method according to claim 1 or 2, characterized in that the system performance includes one or any combination of the following: the number of terminals currently scheduled by the sensing system; the traffic volume currently scheduled by the sensing system; The ratio of the number of currently scheduled emergency services to the number of all services.

4. The method according to claim 3, characterized in that the process of the sensing system counting system performance within the detection sliding window specifically includes:

When the number of terminals scheduled by the sensing system within the detection sliding window is not greater than the preset number threshold, the sensing system determines that the system performance within the detection sliding window meets the specified performance conditions; otherwise, the sensing system determines that the detection System performance within the sliding window does not meet the specified performance conditions; or,

When the traffic volume scheduled by the sensing system within the detection sliding window is not greater than the preset business volume threshold, the sensing system The sensing system determines that the system performance within the detection sliding window meets the specified performance conditions, otherwise, the sensing system determines that the system performance within the detection sliding window does not meet the specified performance conditions; or,

When the proportion of the number of emergency services scheduled by the sensing system in the detection sliding window to the number of all services is not greater than the preset proportion threshold, the sensing system determines that the system performance within the detection sliding window meets the specified performance conditions, otherwise, The sensing system determines that the system performance within the detection sliding window does not meet the specified performance condition; or,

When the number of terminals scheduled by the sensing system within the detection sliding window is not greater than the preset quantity threshold, and the business volume is not greater than the preset business volume threshold, the sensing system determines that the system performance within the detection sliding window meets the specified performance conditions , otherwise, the sensing system determines that the system performance within the detection sliding window does not meet the specified performance condition; or,

When the number of terminals scheduled by the sensing system within the detection sliding window is not greater than the preset quantity threshold, and the proportion of the number of emergency services to the number of all services is not greater than the preset ratio threshold, the sensing system determines that the number of terminals within the detection sliding window is The system performance meets the specified performance conditions, otherwise, the sensing system determines that the system performance within the detection sliding window does not meet the specified performance conditions; or,

When the business volume scheduled by the sensing system within the detection sliding window is not greater than the preset business volume threshold, and the proportion of the number of emergency services to the total number of services is not greater than the preset proportion threshold, the sensing system determines that within the detection sliding window The system performance satisfies the specified performance condition, otherwise, the sensing system determines that the system performance within the detection sliding window does not meet the specified performance condition; or,

When the number of terminals scheduled by the sensing system within the detection sliding window is not greater than the preset quantity threshold, and the business volume is not greater than the preset business volume threshold, and the proportion of the number of emergency services to all services is not greater than the preset ratio threshold, then The sensing system determines that the system performance within the detection sliding window meets the specified performance condition; otherwise, the sensing system determines that the system performance within the detection sliding window does not meet the specified performance condition.

5. The method of claim 4, wherein the sensing system determines at least one between the end time of the previous sensing detection time period and the start time of the next sensing detection time period according to a preset statistical strategy. Statistics of system performance are performed at statistical times, including:

When the system performance does not meet the specified performance condition, the sensing system performs sensing detection within the next sensing detection time period.

6. The method of claim 1, wherein the sensing system compares the time interval between current statistics and the start time of the next sensing detection time period with a preset time interval, and then further includes: When the time interval between the current statistical time and the start time of the next sensing detection time period is less than the preset time interval, the sensing system performs sensing detection in the next sensing detection time period.

7. The method of claim 1, wherein the sensing system uses the adjusted start time of the next sensing detection period to re-determine the next sensing detection period, including:

The sensing system re-determines the end time of the next sensing detection period as the sum of the adjusted starting moment of the next sensing detection period and the time length Y; wherein the time length Y is a time length greater than or equal to zero. , and configured by the sensing system;

The sensing system re-determines the next sensing detection time period from the adjusted start time of the next sensing detection time period to the re-determined end time of the next sensing detection time period.

8. A perception system, characterized by including:

processor;

memory;

and a plurality of instruction modules stored in the memory that can be executed by the processor; the plurality of instruction modules include:

The statistics module is used to determine at least one statistical moment between the end of the previous perception detection time period and the start of the next perception detection time period to perform statistics on the system performance according to the preset statistical strategy; the comparison module is used for current When the system performance meets the specified performance conditions, compare the time interval between the current statistical time and the start time of the next sensing detection time period with the preset time interval;

A processing module configured to adjust the starting time of the next sensing detection time period to the starting time when the time interval between the current statistical time and the starting time of the next sensing detection time period is greater than or equal to the preset time interval. The sum of the current statistical time and the time length A time length equal to zero and less than the preset time interval;

The detection module is used to perform perception detection within the redetermined next perception detection time period.

9. The system of claim 8, characterized in that,

The statistics module is specifically configured to divide the end time of the previous perception detection time period to the start time of the next perception detection time period into at least one detection sliding window, and statistics of system performance within the at least one detection sliding window; When the system performance meets the specified performance conditions, the current statistical moment is specifically: System The end time of the detection sliding window when the performance meets the specified performance condition.

10. The system according to claim 8 or 9, characterized in that,

The system performance counted by the statistics module includes one or any combination of the following: the number of terminals currently scheduled by the sensing system; the business volume currently scheduled by the sensing system; the number of emergency services currently scheduled by the sensing system accounting for the total number of services Proportion.

11. The system of claim 10, characterized in that,

The statistics module is specifically used to determine that the system performance within the detection sliding window meets the specified performance condition when the number of terminals scheduled by the sensing system within the detection sliding window is not greater than the preset number threshold; otherwise, determine that the detection System performance within the sliding window does not meet the specified performance conditions; or,

When the business volume scheduled by the sensing system within the detection sliding window is not greater than the preset business volume threshold, it is determined that the system performance within the detection sliding window meets the specified performance condition, otherwise, it is determined that the system performance within the detection sliding window does not meet the specified performance conditions. Meet specified performance conditions; or,

When the ratio of the number of emergency services scheduled by the sensing system within the detection sliding window to the number of all services is not greater than the preset proportion threshold, it is determined that the system performance within the detection sliding window meets the specified performance conditions, otherwise, it is determined that the detection sliding window System performance within the window does not meet the specified performance conditions; or,

When the number of terminals scheduled by the sensing system within the detection sliding window is not greater than the preset quantity threshold, and the business volume is not greater than the preset business volume threshold, it is determined that the system performance within the detection sliding window meets the specified performance conditions, otherwise, determine The system performance within the detection sliding window does not meet the specified performance conditions; or,

When the number of terminals scheduled by the sensing system within the detection sliding window is not greater than the preset quantity threshold, and the proportion of the number of emergency services to all services is not greater than the preset proportion threshold, it is determined that the system performance within the detection sliding window meets the specified performance situation, otherwise, determine that the system performance within the detection sliding window does not meet the specified performance situation; or,

When the business volume scheduled by the sensing system within the detection sliding window is not greater than the preset business volume threshold, and the proportion of the number of emergency services to all services is not greater than the preset proportion threshold, it is determined that the system performance within the detection sliding window meets Specify the performance situation, otherwise, determine that the system performance within the detection sliding window does not meet the specified performance situation; or,

When the number of terminals scheduled by the sensing system within the detection sliding window is not greater than the preset quantity threshold, and the business volume is not greater than the preset business volume threshold, and the proportion of the number of emergency services in all services is not greater than the preset ratio threshold, it is determined The system performance within the detection sliding window meets the specified performance condition, otherwise, determine the detection System performance within the sliding window does not meet the specified performance conditions.

12. The system of claim 11, characterized in that,

The detection module is also used to perform perception detection within the next perception detection time period when the system performance does not meet the specified performance conditions.

13. The system of claim 8, characterized in that,

The detection module is also configured to: when the time interval between the current statistical time and the start time of the next perception detection time period is less than the preset time interval, within the next perception detection time period Perform perception testing.

14. The system of claim 8, characterized in that,

The processing module is specifically configured to re-determine the end time of the next perception detection time period as the sum of the adjusted start time of the next perception detection time period and the time length Y; wherein the time length Y is greater than A length of time equal to zero and configured by the sensing system;

The next perception detection time period is redetermined to be the adjusted start time of the next perception detection time period to the redetermined end time of the next perception detection time period.