Channel searching method and device, electronic equipment, storage medium and program product

Abstract

The invention provides a channel searching method and device, electronic equipment, a storage medium and a program product. The method comprises the following steps: determining a non-idle state probability parameter and a detection duration increment function parameter of a to-be-searched channel; determining a non-idle state probability threshold parameter and a detection performance constraint parameter corresponding to the to-be-searched channel; based on the non-idle state probability parameter, the detection duration increment function parameter, the non-idle state probability threshold parameter and the detection performance constraint parameter, determining an average search duration corresponding to the to-be-searched channel; and based on the average search duration, performing channel search on the to-be-searched channel to obtain a channel search result. The channel search is carried out through the average search duration determined by the invention, the channel search duration is reduced, and spectrum resources are saved.

Description

Technical Field

[0001] The present disclosure relates to the field of radio communication technology, and in particular to a channel search method, device, electronic device, storage medium and program product. Background Art

[0002] This section is intended to provide a background or context to the embodiments of the disclosure that are recited in the claims. No description herein is admitted to be prior art by inclusion in this section.

[0003] Wireless spectrum resources are a precious natural resource. With the rapid development of wireless technology, wireless applications with high data rate requirements such as mobile high-speed data networks and wireless multimedia applications have been widely deployed. The number of wireless users has exploded, and the demand for spectrum has also increased. How to use limited spectrum resources to meet the spectrum requirements of various wireless applications has become a hot research topic.

[0004] However, in the process of channel search, if too much time is spent on the search, spectrum resources will be wasted. Summary of the invention

[0005] In view of this, the purpose of the present disclosure is to provide a channel search method, device, electronic device, storage medium and program product, which at least to a certain extent solve one of the technical problems in the related art.

[0006] Based on the above purpose, an exemplary embodiment of the present disclosure provides a channel search method in a first aspect, including:

[0007] Determine a non-idle state probability parameter and a detection duration increasing function parameter of a channel to be searched;

[0008] Determine a non-idle state probability threshold parameter and a detection performance constraint parameter corresponding to the channel to be searched;

[0009] Determine an average search duration corresponding to the channel to be searched based on the non-idle state probability parameter, the detection duration increasing function parameter, the non-idle state probability threshold parameter and the detection performance constraint parameter;

[0010] Based on the average search duration, a channel search is performed on the channel to be searched to obtain a channel search result.

[0011] Based on the same inventive concept, a second aspect of the exemplary embodiment of the present disclosure provides a channel search device, including:

[0012] A channel parameter determination module, configured to determine a non-idle state probability parameter and a detection duration increasing function parameter of a channel to be searched;

[0013] A system parameter determination module, configured to determine a non-idle state probability threshold parameter and a detection performance constraint parameter corresponding to the channel to be searched;

[0014] An average search duration determination module is configured to determine an average search duration corresponding to the channel to be searched based on the non-idle state probability parameter, the detection duration increasing function parameter, the non-idle state probability threshold parameter and the detection performance constraint parameter;

[0015] The channel search module is configured to perform a channel search on the to-be-searched channel based on the average search duration to obtain a channel search result.

[0016] Based on the same inventive concept, a third aspect of the exemplary embodiment of the present disclosure provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method described in the first aspect is implemented.

[0017] Based on the same inventive concept, a fourth aspect of the exemplary embodiments of the present disclosure provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method described in the first aspect.

[0018] Based on the same inventive concept, a fifth aspect of the exemplary embodiments of the present disclosure provides a computer program product, including computer program instructions. When the computer program instructions are executed on a computer, the computer executes the method described in the first aspect.

[0019] From the above, it can be seen that the channel search method, device, electronic device, storage medium and program product provided by the embodiments of the present disclosure include: determining the non-idle state probability parameter and detection time increasing function parameter of the channel to be searched; determining the non-idle state probability threshold parameter and detection performance constraint parameter corresponding to the channel to be searched; based on the non-idle state probability parameter, the detection time increasing function parameter, the non-idle state probability threshold parameter and the detection performance constraint parameter, determining the average search time corresponding to the channel to be searched; based on the average search time, performing a channel search on the channel to be searched to obtain a channel search result. Performing a channel search by using the average search time determined by the present disclosure reduces the channel search time and saves spectrum resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the present disclosure or related technologies, the drawings required for use in the embodiments or related technical descriptions are briefly introduced below. Obviously, the drawings described below are only embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 A schematic diagram of an application scenario of a channel search method provided by an exemplary embodiment of the present disclosure;

[0022] Figure 2 A schematic diagram of a flow chart of a channel search method provided for an exemplary embodiment of the present disclosure;

[0023] Figure 3 Another schematic flow chart of a channel search method provided for an exemplary embodiment of the present disclosure;

[0024] Figure 4 A schematic diagram of a structure of a channel search device provided by an exemplary embodiment of the present disclosure;

[0025] Figure 5 A schematic structural diagram of an electronic device provided by an exemplary embodiment of the present disclosure. DETAILED DESCRIPTION

[0026] It is understandable that before using the technical solutions disclosed in the embodiments of this application, the type, scope of use, usage scenarios, etc. of the personal information involved in this application should be informed to the user and the user's authorization should be obtained in an appropriate manner in accordance with relevant laws and regulations.

[0027] For example, in response to receiving an active request from a user, a prompt message is sent to the user to clearly prompt the user that the operation requested to be performed will require obtaining and using the user's personal information. Thus, the user can autonomously choose whether to provide personal information to software or hardware such as an electronic device, application, server, or storage medium that performs the operation of the technical solution of the present application according to the prompt message.

[0028] As an optional but non-limiting implementation, in response to receiving an active request from the user, the prompt information may be sent to the user in the form of a pop-up window, in which the prompt information may be presented in text form. In addition, the pop-up window may also carry a selection control for the user to choose "agree" or "disagree" to provide personal information to the electronic device.

[0029] It is understandable that the above notification and the process of obtaining user authorization are merely illustrative and do not constitute a limitation on the implementation method of the present application. Other methods that meet the relevant laws and regulations may also be applied to the implementation method of the present application.

[0030] It is understandable that the data involved in this technical solution (including but not limited to the data itself, the acquisition or use of the data) shall comply with the requirements of relevant laws, regulations and relevant provisions.

[0031] In order to make the purpose, technical solutions and advantages of the present disclosure more clear, the principles and spirit of the present disclosure will be described with reference to several exemplary embodiments. It should be understood that these embodiments are provided only to enable those skilled in the art to better understand and implement the present disclosure, and are not intended to limit the scope of the present disclosure in any way. On the contrary, these embodiments are provided to make the present disclosure more thorough and complete, and to fully convey the scope of the present disclosure to those skilled in the art.

[0032] It should be understood herein that any number of elements in the drawings is for illustration rather than limitation, and any naming is only for distinction rather than having any limiting meaning.

[0033] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the embodiments of the present disclosure should be understood by people with ordinary skills in the field to which the present disclosure belongs. The "first", "second" and similar words used in the embodiments of the present disclosure do not represent any order, quantity or importance, but are only used to distinguish different components. "Including" or "comprising" and similar words mean that the elements or objects appearing in front of the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connecting" or "connected" and similar words are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly. The article "one" or "a" before an element does not exclude the existence of multiple such elements.

[0034] The principle and spirit of the present disclosure are explained in detail below with reference to several representative embodiments of the present disclosure.

[0035] As described in the background technology, radio spectrum resources are a kind of precious natural resources. With the rapid development of wireless technology, wireless applications with high data rate requirements such as mobile high-speed data networks and wireless multimedia applications have been widely deployed. The number of wireless users has exploded, and the demand for spectrum has also increased. How to use limited spectrum resources to meet the spectrum requirements of various wireless applications has become a hot research topic. The current spectrum resources are all regulated according to a fixed spectrum allocation method to regulate the use rights of wireless spectrum to prevent interference between different service users.

[0036] Take the power industry as an example. In the radio frequency band corresponding to the power industry, the channel environment is complex. There is adjacent channel interference from data transmission radio stations of other industry users, and there is in-band interference from power users' negative control data transmission radio stations. Therefore, the terminals of industry-aware users need to perform channel detection to detect available and idle frequencies for information transmission to ensure communication quality.

[0037] As a specific example, the power industry is allocated authorization for 40 discrete frequency points within the 223MHz-235MHz frequency band, which is allocated to seven industries for use.

[0038] For example, for the 40 discrete frequency points authorized by the power industry, the cognitive user's terminal searches for 40 discrete channels and combines the searched available channels into a new logical channel; the cognitive user can simultaneously use all idle channels on the logical channel for data transmission.

[0039] However, the inventors of the present disclosure have discovered that, in the process of searching for channels, if too much time is spent on searching, spectrum resources will be wasted.

[0040] In order to solve the above problems, the present disclosure provides a channel search solution, which specifically includes: determining the non-idle state probability parameter and the detection time increasing function parameter of the channel to be searched; determining the non-idle state probability threshold parameter and the detection performance constraint parameter corresponding to the channel to be searched; based on the non-idle state probability parameter, the detection time increasing function parameter, the non-idle state probability threshold parameter and the detection performance constraint parameter, determining the average search time corresponding to the channel to be searched; based on the average search time, performing a channel search on the channel to be searched to obtain a channel search result. Performing a channel search with the average search time determined by the present disclosure reduces the channel search time and saves spectrum resources.

[0041] After introducing the basic principles of the present disclosure, various non-limiting embodiments of the present disclosure are described in detail below.

[0042] refer to Figure 1 , which is a schematic diagram of an application scenario of the channel search method provided by an exemplary embodiment of the present disclosure.

[0043] This application scenario includes a terminal device 110 and radio spectrum resources.

[0044] The terminal device 110 may be a device including a wireless signal receiver, which is a device that only has a wireless signal receiver without transmission capability, or a device including receiving and transmitting hardware, which is a device that has receiving and transmitting hardware capable of two-way communication over a two-way communication link. Such devices may include: cellular or other communication devices, which have a single line display or a multi-line display or a cellular or other communication device without a multi-line display; PCS (Personal Communications Service) which may combine voice, data processing, fax and / or data communication capabilities; PDA (Personal Digital Assistant) which may include a radio frequency receiver, a pager, Internet / intranet access, a web browser, a notepad, a calendar and / or a GPS (Global Positioning System) receiver; a conventional laptop and / or palmtop computer or other device, which has and / or includes a conventional laptop and / or palmtop computer or other device with and / or including a radio frequency receiver. The "terminal" or "terminal device" used herein may be portable, transportable, installed in a vehicle (air, sea and / or land), or adapted and / or configured to operate locally, and / or in a distributed form, at any other location on the earth and / or in space. The "terminal" or "terminal device" used herein may also be a communication terminal, an Internet terminal, a music / video playing terminal, such as a PDA, a MID (Mobile Internet Device) and / or a mobile phone with a music / video playing function, or a smart TV, a set-top box and other devices.

[0045] When the channel search method is run on the terminal device 110, the terminal device 110 is used to provide a channel search service to the user of the terminal device 110, and the terminal device 110 determines the non-idle state probability parameter and the detection time increase function parameter of the channel to be searched; the terminal device 110 determines the non-idle state probability threshold parameter and the detection performance constraint parameter corresponding to the channel to be searched; the terminal device 110 determines the average search time corresponding to the channel to be searched based on the non-idle state probability parameter, the detection time increase function parameter, the non-idle state probability threshold parameter and the detection performance constraint parameter; the terminal device 110 performs a channel search on the channel to be searched based on the average search time to obtain a channel search result. This helps the user's terminal device 110 to transmit data based on the searched channel (i.e., the channel search result).

[0046] Combine the following Figure 1The channel search method according to the exemplary embodiment of the present disclosure is described by using the application scenario. It should be noted that the above application scenario is only shown to facilitate understanding of the spirit and principle of the present disclosure, and the embodiments of the present disclosure are not limited in this respect. On the contrary, the embodiments of the present disclosure can be applied to any applicable scenario.

[0047] refer to Figure 2 , which is a flow chart of a channel search method provided by an exemplary embodiment of the present disclosure.

[0048] The exemplary embodiment of the present disclosure provides a channel search method, comprising the following steps:

[0049] Step S210: Determine a non-idle state probability parameter and a detection duration increasing function parameter of a channel to be searched.

[0050] In some exemplary embodiments, determining a non-idle state probability parameter and a detection duration increasing function parameter of a channel to be searched includes:

[0051] Determining a detection duration parameter of the channel to be searched;

[0052] Based on the detection duration parameter, obtaining the detection duration increasing function parameter;

[0053] The non-idle state probability parameter is obtained based on the detection duration increasing function parameter.

[0054] As a specific example:

[0055] represents the detection duration parameter of the i-th channel;

[0056] express The first increasing function parameter, that is, the detection time increasing function parameter;

[0057] Q b,i It represents the non-idle state probability parameter of the i-th channel, specifically:

[0058] Q b.i =u i Q d,i +(1-u i )Q f,i ;

[0059] in, express The second increasing function parameter of ;

[0060] u i Represents the weight parameter.

[0061] Step S220: Determine a non-idle state probability threshold parameter and a detection performance constraint parameter corresponding to the channel to be searched.

[0062] In some exemplary embodiments, the determining of a non-idle state probability threshold parameter and a detection performance constraint parameter corresponding to the channel to be searched includes:

[0063] In response to a configuration operation for the non-idle state probability threshold parameter and the detection performance constraint parameter, the non-idle state probability threshold parameter and the detection performance constraint parameter are determined.

[0064] During specific implementation, the non-idle state probability threshold parameter and the detection performance constraint parameter corresponding to the channel to be searched may be configured by the user according to actual needs.

[0065] As a specific example:

[0066] ζ represents the non-idle state probability threshold parameter.

[0067] Γ i Represents the detection performance constraint parameter.

[0068] Step S230: Determine an average search duration corresponding to the channel to be searched based on the non-idle state probability parameter, the detection duration increasing function parameter, the non-idle state probability threshold parameter and the detection performance constraint parameter.

[0069] In some exemplary embodiments, determining the average search duration corresponding to the channel to be searched based on the non-idle state probability, the detection duration increasing function, the non-idle state probability threshold parameter, and the detection performance constraint parameter includes:

[0070] Based on the non-idle state probability, the detection duration increasing function, the non-idle state probability threshold parameter and the detection performance constraint parameter, the average search duration is determined with the purpose of minimizing the average search duration.

[0071] As a specific example:

[0072]

[0073] in, Indicates the average search duration;

[0074] The function of arg min is to take the value of the variable when the following formula reaches the minimum value;

[0075] T s Indicates the total search time of all channels (authorized channels);

[0076] M, k, i, j are all constants;

[0077] ω represents the specified system parameter;

[0078] Q b,i represents the non-idle state probability parameter of the i-th channel, specifically;

[0079] Q b.i =u i Q d,i +(1-u i )Q f,i ;

[0080] in, express The first increasing function parameter, that is, the detection time increasing function parameter;

[0081] represents the detection duration parameter of the i-th channel;

[0082] express The second increasing function parameter of ;

[0083] ui represents the weight parameter.

[0084] ζ represents the non-idle state probability threshold parameter, which is used to ensure that the probability of at least one channel being idle is high enough;

[0085] Γ i It represents the detection performance constraint parameter, which is used to ensure the QoS (Quality of Service) of the i-th channel.

[0086] Step S240: Based on the average search duration, perform a channel search on the channel to be searched to obtain a channel search result.

[0087] In some exemplary embodiments, performing a channel search on the to-be-searched channel based on the average search duration to obtain a channel search result includes:

[0088] Determine a search duration weight parameter corresponding to the current channel to be searched;

[0089] Determining the search duration corresponding to the current channel to be searched based on the average search duration and the search duration weight parameter;

[0090] Based on the search duration, performing a channel search on the current channel to be searched;

[0091] In response to determining that the current channel to be searched is in a non-idle state, a channel search is performed on the next channel to be searched until the channel search result is obtained.

[0092] As a specific example:

[0093]

[0094] in, and ω i represent the search duration and search duration weight parameter of the ith channel respectively;

[0095] T s Indicates the total search time of all channels.

[0096] In specific implementation, the channel search adopts a continuous search mode, that is, the terminal of the cognitive user selects channels for search in sequence. If the currently selected channel is detected to be busy, the next channel is selected for search.

[0097] In the above exemplary embodiments, the channel search duration is optimized by minimizing the average search duration, so as to shorten the search duration of the search process as much as possible and avoid wasting resources.

[0098] From the above, it can be seen that the channel search method provided by the embodiment of the present disclosure includes: determining the non-idle state probability parameter and the detection time increasing function parameter of the channel to be searched; determining the non-idle state probability threshold parameter and the detection performance constraint parameter corresponding to the channel to be searched; based on the non-idle state probability parameter, the detection time increasing function parameter, the non-idle state probability threshold parameter and the detection performance constraint parameter, determining the average search time corresponding to the channel to be searched; based on the average search time, performing a channel search on the channel to be searched to obtain a channel search result. Performing a channel search by performing a channel search with the average search time determined by the present disclosure reduces the channel search time and saves spectrum resources.

[0099] In some exemplary embodiments, after performing a channel search on a channel to be searched based on the average search duration and obtaining a channel search result, data transmission may be performed based on the channel search result, and a channel for data transmission may be detected. Specifically:

[0100] refer to Figure 3 , which is another flow chart of the channel search method provided by an exemplary embodiment of the present disclosure.

[0101] The exemplary embodiment of the present disclosure provides a channel search method, comprising the following steps:

[0102] Step S310: Determine a non-idle state probability parameter and a detection duration increasing function parameter of a channel to be searched.

[0103] In some exemplary embodiments, determining a non-idle state probability parameter and a detection duration increasing function parameter of a channel to be searched includes:

[0104] Determining a detection duration parameter of the channel to be searched;

[0105] Based on the detection duration parameter, obtaining the detection duration increasing function parameter;

[0106] The non-idle state probability parameter is obtained based on the detection duration increasing function parameter.

[0107] Step S320: Determine a non-idle state probability threshold parameter and a detection performance constraint parameter corresponding to the channel to be searched.

[0108] In some exemplary embodiments, the determining of a non-idle state probability threshold parameter and a detection performance constraint parameter corresponding to the channel to be searched includes:

[0109] In response to a configuration operation for the non-idle state probability threshold parameter and the detection performance constraint parameter, the non-idle state probability threshold parameter and the detection performance constraint parameter are determined.

[0110] Step S330: Determine the average search duration corresponding to the channel to be searched based on the non-idle state probability parameter, the detection duration increasing function parameter, the non-idle state probability threshold parameter and the detection performance constraint parameter.

[0111] In some exemplary embodiments, determining the average search duration corresponding to the channel to be searched based on the non-idle state probability, the detection duration increasing function, the non-idle state probability threshold parameter, and the detection performance constraint parameter includes:

[0112] Based on the non-idle state probability, the detection duration increasing function, the non-idle state probability threshold parameter and the detection performance constraint parameter, the average search duration is determined with the purpose of minimizing the average search duration.

[0113] Step S340: Based on the average search duration, perform a channel search on the channel to be searched to obtain a channel search result.

[0114] In some exemplary embodiments, performing a channel search on the to-be-searched channel based on the average search duration to obtain a channel search result includes:

[0115] Determine a search duration weight parameter corresponding to the current channel to be searched;

[0116] Determining the search duration corresponding to the current channel to be searched based on the average search duration and the search duration weight parameter;

[0117] Based on the search duration, performing a channel search on the current channel to be searched;

[0118] In response to determining that the current channel to be searched is in a non-idle state, a channel search is performed on the next channel to be searched until the channel search result is obtained.

[0119] Step S350: Determine that the channels in the channel search results that meet the access conditions form a logical channel set.

[0120] Step S360: determine an idle channel from the logical channel set, determine a target channel from the idle channel, and perform data transmission based on the target channel.

[0121] Step S370, detect the target channel based on a predetermined detection period to obtain a detection result, wherein the detection period is obtained based on indicator data of each channel in the target channel within one detection period, and the indicator data include: average missed spectrum opportunities, duration ratio of idle spectrum opportunities wasted due to detection, and duration ratio of interference with authorized signals.

[0122] As a specific example, the detection period is determined by the following formula:

[0123]

[0124] in, is the detection period, the function of arg min is to make the variable value when the following formula reaches the minimum value, λ1 and λ2 are the preset weight factors, K is the number of channels detected, and They represent the average spectrum loss opportunity and the time proportion of interference to authorized users of the i-th channel in a detection period, respectively. i (T p ) represents the proportion of idle spectrum opportunity time wasted due to detection of channel i within a detection cycle.

[0125] Step S380: re-determine the target channel based on the detection result.

[0126] Through the above exemplary embodiments, the detection period is optimized by integrating the indicator parameters of the time proportion of idle spectrum opportunities wasted due to detection, the average missed spectrum opportunities, and the time proportion of interference with authorized signals. In this way, the perception (i.e., detection) overhead is reduced in the process of channel detection based on the detection period, and some possible access spectrum opportunities are wasted as little as possible, thereby improving the performance of data transmission.

[0127] It should be noted that the method of the embodiment of the present disclosure can be performed by a single device, such as a computer or a server. The method of the present embodiment can also be applied in a distributed scenario and completed by multiple devices cooperating with each other. In the case of such a distributed scenario, one of the multiple devices can only perform one or more steps in the method of the embodiment of the present disclosure, and the multiple devices will interact with each other to complete the described method.

[0128] It should be noted that the above describes some embodiments of the present disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the above embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0129] Based on the same inventive concept, corresponding to any of the above-mentioned embodiment methods, the present disclosure also provides a channel searching device.

[0130] refer to Figure 4 , the channel searching device provided by the exemplary embodiment of the present disclosure includes the following modules:

[0131] A channel parameter determination module 410 is configured to determine a non-idle state probability parameter and a detection duration increasing function parameter of a channel to be searched;

[0132] The system parameter determination module 420 is configured to determine a non-idle state probability threshold parameter and a detection performance constraint parameter corresponding to the channel to be searched;

[0133] The average search duration determination module 430 is configured to determine the average search duration corresponding to the to-be-searched channel based on the non-idle state probability parameter, the detection duration increasing function parameter, the non-idle state probability threshold parameter and the detection performance constraint parameter;

[0134] The channel search module 440 is configured to perform a channel search on the to-be-searched channel based on the average search duration to obtain a channel search result.

[0135] In some exemplary embodiments, the channel parameter determination module 410 is configured to:

[0136] Determining a detection duration parameter of the channel to be searched;

[0137] Based on the detection duration parameter, obtaining the detection duration increasing function parameter;

[0138] The non-idle state probability parameter is obtained based on the detection duration increasing function parameter.

[0139] In some exemplary embodiments, the system parameter determination module 420 is configured to:

[0140] In response to a configuration operation for the non-idle state probability threshold parameter and the detection performance constraint parameter, the non-idle state probability threshold parameter and the detection performance constraint parameter are determined.

[0141] In some exemplary embodiments, the average search duration determination module 430 is configured to:

[0142] Based on the non-idle state probability, the detection duration increasing function, the non-idle state probability threshold parameter and the detection performance constraint parameter, the average search duration is determined with the purpose of minimizing the average search duration.

[0143] In some exemplary embodiments, the channel search module 440 is configured to:

[0144] Determine a search duration weight parameter corresponding to the current channel to be searched;

[0145] Determining the search duration corresponding to the current channel to be searched based on the average search duration and the search duration weight parameter;

[0146] Based on the search duration, performing a channel search on the current channel to be searched;

[0147] In response to determining that the current channel to be searched is in a non-idle state, a channel search is performed on the next channel to be searched until the channel search result is obtained.

[0148] In some exemplary embodiments, the channel search device provided by the exemplary embodiments of the present disclosure further includes a channel detection module (not shown in the figure):

[0149] Determine that channels meeting access conditions in the channel search results constitute a logical channel set;

[0150] Determine an idle channel from the set of logical channels, determine a target channel from the idle channels, and perform data transmission based on the target channel;

[0151] The target channel is detected based on a predetermined detection period to obtain a detection result, wherein the detection period is obtained based on the indicator data of each channel in the target channel within one of the detection periods, and the indicator data includes: an average missed spectrum opportunity, a duration ratio of idle spectrum opportunities wasted due to detection, and a duration ratio of interference with authorized signals;

[0152] The target channel is re-determined based on the detection result.

[0153] For the convenience of description, the above device is described by dividing it into various modules according to its functions. Of course, when implementing the present disclosure, the functions of each module can be implemented in the same or multiple software and / or hardware.

[0154] The device of the above embodiment is used to implement the corresponding channel search method in any of the above embodiments, and has the beneficial effects of the corresponding method embodiment, which will not be described in detail here.

[0155] Based on the same inventive concept, corresponding to any of the above-mentioned embodiments and methods, the present disclosure also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the channel search method described in any of the above embodiments is implemented.

[0156] Figure 5 A more specific schematic diagram of the hardware structure of an electronic device provided in this embodiment is shown, and the device may include: a processor 1010, a memory 1020, an input / output interface 1030, a communication interface 1040, and a bus 1050. The processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040 are connected to each other through the bus 1050 in the device.

[0157] The processor 1010 can be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this specification.

[0158] The memory 1020 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 1020 may store an operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented by software or firmware, the relevant program codes are stored in the memory 1020 and are called and executed by the processor 1010.

[0159] The input / output interface 1030 is used to connect the input / output module to realize information input and output. The input / output module can be configured in the device as a component (not shown in the figure), or it can be externally connected to the device to provide corresponding functions. The input device may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device may include a display, a speaker, a vibrator, an indicator light, etc.

[0160] The communication interface 1040 is used to connect a communication module (not shown) to realize communication interaction between the device and other devices. The communication module can realize communication through a wired mode (such as USB, network cable, etc.) or a wireless mode (such as mobile network, WIFI, Bluetooth, etc.).

[0161] The bus 1050 includes a path that transmits information between the various components of the device (eg, the processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040).

[0162] It should be noted that, although the above device only shows the processor 1010, the memory 1020, the input / output interface 1030, the communication interface 1040 and the bus 1050, in the specific implementation process, the device may also include other components necessary for normal operation. In addition, it can be understood by those skilled in the art that the above device may also only include the components necessary for implementing the embodiments of the present specification, and does not necessarily include all the components shown in the figure.

[0163] The electronic device of the above embodiment is used to implement the corresponding channel search method in any of the above embodiments, and has the beneficial effects of the corresponding method embodiment, which will not be described in detail here.

[0164] The memory 1020 stores machine-readable instructions executable by the processor 1010. When the electronic device is running, the processor 1010 communicates with the memory 1020 via the bus 1030, so that the processor 1010 executes the following instructions when running:

[0165] Determine a non-idle state probability parameter and a detection duration increasing function parameter of a channel to be searched;

[0166] Determine a non-idle state probability threshold parameter and a detection performance constraint parameter corresponding to the channel to be searched;

[0167] Determine an average search duration corresponding to the channel to be searched based on the non-idle state probability parameter, the detection duration increasing function parameter, the non-idle state probability threshold parameter and the detection performance constraint parameter;

[0168] Based on the average search duration, a channel search is performed on the channel to be searched to obtain a channel search result.

[0169] In a possible implementation manner, in the instruction executed by the processor 1010, determining the non-idle state probability parameter and the detection duration increasing function parameter of the channel to be searched includes:

[0170] Determining a detection duration parameter of the channel to be searched;

[0171] Based on the detection duration parameter, obtaining the detection duration increasing function parameter;

[0172] The non-idle state probability parameter is obtained based on the detection duration increasing function parameter.

[0173] In a possible implementation manner, in the instruction executed by the processor 1010, determining the non-idle state probability threshold parameter and the detection performance constraint parameter corresponding to the channel to be searched includes:

[0174] In response to a configuration operation for the non-idle state probability threshold parameter and the detection performance constraint parameter, the non-idle state probability threshold parameter and the detection performance constraint parameter are determined.

[0175] In a possible implementation manner, in the instruction executed by the processor 1010, determining the average search duration corresponding to the channel to be searched based on the non-idle state probability, the detection duration increasing function, the non-idle state probability threshold parameter, and the detection performance constraint parameter includes:

[0176] Based on the non-idle state probability, the detection duration increasing function, the non-idle state probability threshold parameter and the detection performance constraint parameter, the average search duration is determined with the purpose of minimizing the average search duration.

[0177] In a possible implementation manner, in the instructions executed by the processor 1010, performing a channel search on the to-be-searched channel based on the average search duration to obtain a channel search result includes:

[0178] Determine a search duration weight parameter corresponding to the current channel to be searched;

[0179] Determining the search duration corresponding to the current channel to be searched based on the average search duration and the search duration weight parameter;

[0180] Based on the search duration, performing a channel search on the current channel to be searched;

[0181] In response to determining that the current channel to be searched is in a non-idle state, a channel search is performed on the next channel to be searched until the channel search result is obtained.

[0182] In a possible implementation manner, in the instruction executed by the processor 1010, after performing a channel search on the to-be-searched channel based on the average search duration and obtaining a channel search result, the method further includes:

[0183] Determine that channels meeting access conditions in the channel search results constitute a logical channel set;

[0184] Determine an idle channel from the set of logical channels, determine a target channel from the idle channels, and perform data transmission based on the target channel;

[0185] The target channel is detected based on a predetermined detection period to obtain a detection result, wherein the detection period is obtained based on the indicator data of each channel in the target channel within one of the detection periods, and the indicator data includes: an average missed spectrum opportunity, a duration ratio of idle spectrum opportunities wasted due to detection, and a duration ratio of interference with authorized signals;

[0186] The target channel is re-determined based on the detection result.

[0187] Based on the same inventive concept, corresponding to any of the above-mentioned embodiment methods, the present disclosure also provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the channel search method described in any of the above embodiments.

[0188] The computer-readable medium of this embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device.

[0189] The above-mentioned non-transitory computer-readable storage medium can be any available medium or data storage device that can be accessed by a computer, including but not limited to magnetic storage (such as floppy disks, hard disks, magnetic tapes, magneto-optical disks (MO), etc.), optical storage (such as CD, DVD, BD, HVD, etc.), and semiconductor storage (such as ROM, EPROM, EEPROM, non-volatile memory (NAND FLASH), solid-state drive (SSD)), etc.

[0190] The computer instructions stored in the storage medium of the above embodiment are used to enable the computer to execute the channel search method described in any embodiment in the above exemplary method part, and have the beneficial effects of the corresponding method embodiment, which will not be repeated here.

[0191] Based on the same inventive concept, corresponding to the channel search method described in any of the above embodiments, the present disclosure also provides a computer program product, which includes computer program instructions. In some embodiments, the computer program instructions can be executed by one or more processors of a computer so that the computer and / or the processor executes the channel search method. Corresponding to the execution subject corresponding to each step in each embodiment of the channel search method, the processor that executes the corresponding step may belong to the corresponding execution subject.

[0192] The computer program product of the above embodiment is used to enable the computer and / or the processor to execute the channel search method described in any of the above embodiments, and has the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0193] Those skilled in the art will appreciate that the embodiments of the present disclosure may be implemented as a system, method, or computer program product. Therefore, the present disclosure may be specifically implemented in the following forms, namely: complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software, generally referred to herein as a "circuit," "module," or "system." In addition, in some embodiments, the present disclosure may also be implemented in the form of a computer program product in one or more computer-readable media, which contains computer-readable program code.

[0194] Any combination of one or more computer-readable media may be used. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive examples) of computer-readable storage media may include, for example: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device.

[0195] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0196] The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0197] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0198] It should be understood that each box in the flowchart and / or block diagram and the combination of boxes in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer or other programmable data processing device to produce a machine, and these computer program instructions are executed by a computer or other programmable data processing device to produce a device that implements the functions / operations specified in the boxes in the flowchart and / or block diagram.

[0199] These computer program instructions may also be stored in a computer-readable medium that enables a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable medium produce a product that includes an instruction device that implements the functions / operations specified in the blocks in the flowchart and / or block diagram.

[0200] Computer program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device so that a series of operational steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby enabling the instructions executed on the computer or other programmable device to provide a process for implementing the functions / operations specified in the blocks in the flowchart and / or block diagram.

[0201] In addition, although the operations of the disclosed method are described in a particular order in the accompanying drawings, this does not require or imply that the operations must be performed in this particular order, or that all the operations shown must be performed to achieve the desired results. On the contrary, the steps depicted in the flow chart can be performed in a different order. Additionally or alternatively, some steps can be omitted, multiple steps can be combined into one step, and / or one step can be decomposed into multiple steps.

[0202] The flowchart and block diagram in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0203] It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.

[0204] Those skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present application (including the claims) is limited to these examples. In line with the concept of the present application, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present application as described above, which are not provided in detail for the sake of simplicity.

[0205] In addition, to simplify the description and discussion, and in order not to make the embodiments of the present application difficult to understand, the known power supply / ground connection with the integrated circuit (IC) chip and other components may or may not be shown in the provided drawings. In addition, the device can be shown in the form of a block diagram to avoid making the embodiments of the present application difficult to understand, and this also takes into account the fact that the details of the implementation of these block diagram devices are highly dependent on the platform to be implemented in the embodiments of the present application (that is, these details should be fully within the scope of understanding of those skilled in the art). In the case of elaborating specific details (e.g., circuits) to describe exemplary embodiments of the present application, it is obvious to those skilled in the art that the embodiments of the present application can be implemented without these specific details or when these specific details are changed. Therefore, these descriptions should be considered to be illustrative rather than restrictive.

[0206] Although the present application has been described in conjunction with specific embodiments of the present application, many replacements, modifications and variations of these embodiments will be apparent to those skilled in the art from the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may use the embodiments discussed.

[0207] The embodiments of the present application are intended to cover all such substitutions, modifications and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of the present application should be included in the scope of protection of the present application.

[0208] Although the spirit and principle of the present disclosure have been described with reference to several specific embodiments, it should be understood that the present disclosure is not limited to the disclosed specific embodiments, and the division of various aspects does not mean that the features in these aspects cannot be combined to benefit, and such division is only for the convenience of expression. The present disclosure is intended to cover various modifications and equivalent arrangements included in the spirit and scope of the attached claims. The scope of the attached claims conforms to the broadest interpretation, thereby including all such modifications and equivalent structures and functions.

Claims

1. A channel search method, characterized in that: include: Determine a non-idle state probability parameter and a detection duration increasing function parameter of a channel to be searched; Determine a non-idle state probability threshold parameter and a detection performance constraint parameter corresponding to the channel to be searched; Determine an average search duration corresponding to the channel to be searched based on the non-idle state probability parameter, the detection duration increasing function parameter, the non-idle state probability threshold parameter and the detection performance constraint parameter; Based on the average search duration, a channel search is performed on the channel to be searched to obtain a channel search result.

2. The method according to claim 1, characterized in that The determining of the non-idle state probability parameter of the channel to be searched and the detection duration increasing function parameter comprises: Determining a detection duration parameter of the channel to be searched; Based on the detection duration parameter, obtaining the detection duration increasing function parameter; The non-idle state probability parameter is obtained based on the detection duration increasing function parameter.

3. The method according to claim 1, characterized in that The determining of the non-idle state probability threshold parameter and the detection performance constraint parameter corresponding to the channel to be searched includes: In response to a configuration operation for the non-idle state probability threshold parameter and the detection performance constraint parameter, the non-idle state probability threshold parameter and the detection performance constraint parameter are determined.

4. The method according to claim 1, characterized in that: The determining, based on the non-idle state probability, the detection duration increasing function, the non-idle state probability threshold parameter and the detection performance constraint parameter, an average search duration corresponding to the channel to be searched includes: Based on the non-idle state probability, the detection duration increasing function, the non-idle state probability threshold parameter and the detection performance constraint parameter, the average search duration is determined with the purpose of minimizing the average search duration.

5. The method according to claim 1, characterized in that The performing a channel search on the to-be-searched channel based on the average search duration to obtain a channel search result includes: Determine a search duration weight parameter corresponding to the current channel to be searched; Determining the search duration corresponding to the current channel to be searched based on the average search duration and the search duration weight parameter; Based on the search duration, performing a channel search on the current channel to be searched; In response to determining that the current channel to be searched is in a non-idle state, a channel search is performed on the next channel to be searched until the channel search result is obtained.

6. The method according to claim 1, characterized in that After performing channel search on the to-be-searched channel based on the average search duration and obtaining a channel search result, the method further includes: Determine that channels meeting access conditions in the channel search results constitute a logical channel set; Determine an idle channel from the set of logical channels, determine a target channel from the idle channels, and perform data transmission based on the target channel; The target channel is detected based on a predetermined detection period to obtain a detection result, wherein the detection period is obtained based on the indicator data of each channel in the target channel within one of the detection periods, and the indicator data includes: an average missed spectrum opportunity, a duration ratio of idle spectrum opportunities wasted due to detection, and a duration ratio of interference with authorized signals; The target channel is re-determined based on the detection result.

7. A channel search device, characterized in that: include: A channel parameter determination module, configured to determine a non-idle state probability parameter and a detection duration increasing function parameter of a channel to be searched; A system parameter determination module, configured to determine a non-idle state probability threshold parameter and a detection performance constraint parameter corresponding to the channel to be searched; An average search duration determination module is configured to determine an average search duration corresponding to the channel to be searched based on the non-idle state probability parameter, the detection duration increasing function parameter, the non-idle state probability threshold parameter and the detection performance constraint parameter; The channel search module is configured to perform a channel search on the to-be-searched channel based on the average search duration to obtain a channel search result.

8. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium, characterized in that: The non-transitory computer-readable storage medium stores computer instructions, and the computer instructions are used to cause a computer to execute the method according to any one of claims 1 to 6.

10. A computer program product, characterized in that The method comprises computer program instructions, which, when executed on a computer, cause the computer to execute the method according to any one of claims 1 to 6.

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