Electronic device, wireless communication method, and computer readable medium

Abstract

The present disclosure relates to an electronic device, a wireless communication method, and a computer-readable medium. According to one embodiment, an electronic device for wireless communication includes a processing circuit. The processing circuit is configured to obtain parameters related to behavioral characteristics of a mobile access point. The processing circuit is also configured to determine a spectrum allocation method for the mobile access point based on the parameters.

Description

Technical Field

[0001] The present disclosure generally relates to the field of wireless communications, and more particularly to an electronic device for wireless communications, a wireless communication method, and a computer-readable medium. Background Art

[0002] With the increasing application of mobile Internet services, the massive use of terminal devices such as smart phones and tablets, and the rapid growth of mobile data services, the shortage of wireless spectrum resources has been further aggravated. In order to improve the utilization rate of spectrum resources, one spectrum management mode is to change the spectrum monopoly to spectrum sharing. To this end, the spectrum can be divided into multiple frequency resource blocks (Frequency resource blocks). While ensuring that there is no impact on the original business system, it is also necessary to ensure that different levels of wireless services form effective sharing to improve the efficiency of spectrum utilization.

[0003] For example, the Federal Communications Commission (FCC) of the United States has proposed a three-tier mobile access point authorization and interference management mechanism for managing and using the 3.5 GHz band, which includes a dynamic database with geographic information and a spectrum access system for managing potential interference. Figure 5 The example structure of the system is shown, including FCC database, spectrum access system (Spectrum Access System, SAS), domain proxy (Domain Proxy), element management system (Element Management System, EMS) (optional), Citizens Broadband Radio Service Device (Citizens Broadband Radio Service Device, CBSD), interfaces between SAS, and interfaces between SAS and users. In addition, the system diagram also shows the processing of notifying authorized users (Informing Incumbent), authorized user detection (Incumbent Detection) (Environmental Sensing Capability (ESC)), CBSD sensing (optional), etc. Summary of the invention

[0004] The inventors of the present invention realize that with the rapid changes in the mobility of mobile access points and service requirements, a large amount of overhead will be incurred on the spectrum access system (SAS), so a method for reducing the overhead of the spectrum access system is needed. In addition, traditional overhead control technologies lack consideration of the behavioral characteristics and tendencies of mobile access points and their impact on system overhead.

[0005] A brief summary of embodiments of the present invention is provided below to provide a basic understanding of certain aspects of the present invention. It should be understood that the following summary is not an exhaustive summary of the present invention. It is not intended to identify key or important parts of the present invention, nor is it intended to limit the scope of the present invention. Its purpose is merely to provide certain concepts in a simplified form as a prelude to a more detailed description discussed later.

[0006] According to one embodiment, an electronic device for wireless communication is provided, comprising a processing circuit configured to obtain parameters related to behavioral characteristics of a mobile access point and to determine a spectrum allocation method for the mobile access point based on the parameters.

[0007] According to another embodiment, a wireless communication method is provided, which includes the step of acquiring parameters related to behavior characteristics of a mobile access point. The method also includes the step of determining a spectrum allocation method for the mobile access point based on the parameters.

[0008] The embodiment of the present disclosure also includes a computer-readable medium, which includes executable instructions. When the executable instructions are executed by an information processing device, the information processing device executes the method according to the embodiment of the present disclosure.

[0009] The disclosed embodiments are beneficial for reducing the overhead or access times of a spectrum access system. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The present invention may be better understood by referring to the following description given in conjunction with the accompanying drawings, wherein the same or similar reference numerals are used throughout the drawings to represent the same or similar components. The accompanying drawings, together with the following detailed description, are included in and form a part of this specification and are used to further illustrate the preferred embodiments of the present invention and to explain the principles and advantages of the present invention. In the drawings:

[0011] Figure 1 is a block diagram showing a configuration example of an electronic device for wireless communication according to one embodiment of the present invention;

[0012] Figure 2 is a block diagram showing a configuration example of an electronic device for wireless communication according to another embodiment;

[0013] Figure 3 is a block diagram showing a configuration example of an electronic device for wireless communication according to still another embodiment;

[0014] Figure 4 is a flowchart showing an example of a process of a wireless communication method according to an embodiment of the present invention;

[0015] Figure 5is a block diagram showing an example structure of a SAS system.

[0016] Figure 6 is a schematic diagram for illustrating an application scenario according to an embodiment of the present invention;

[0017] Figure 7 is a flow chart showing the overall process as one example embodiment;

[0018] Figure 8 The probability distribution function of the generalized Pareto distribution for different parameter values ​​is shown;

[0019] Fig. 9 An example of the distribution of dwell time at different locations is shown;

[0020] Fig.10 is a signaling flow chart for illustrating a SAS access process in an exemplary embodiment;

[0021] Fig.11 is a schematic diagram used to illustrate the simulation scenario;

[0022] Fig.12 An example of clustering of mobile access points is shown;

[0023] Fig.13 The simulation results of the number of SAS connections are shown;

[0024] Fig.14 is a block diagram showing an exemplary structure of a computer implementing the method and apparatus of the present disclosure;

[0025] Fig.15 is a block diagram showing an example of a schematic configuration of a smartphone to which the technology of the present disclosure can be applied;

[0026] Fig.16 is a block diagram showing an example of a schematic configuration of a gNB (a base station in a 5G system) to which the technology of the present disclosure can be applied. DETAILED DESCRIPTION

[0027] Embodiments of the present invention will be described below with reference to the accompanying drawings. Elements and features described in one drawing or one embodiment of the present invention may be combined with elements and features shown in one or more other drawings or embodiments. It should be noted that for the purpose of clarity, the representation and description of components and processes that are not related to the present invention and are known to those of ordinary skill in the art are omitted in the drawings and descriptions.

[0028] Before describing this embodiment in detail, first refer to Figure 6 The application scenario of this embodiment is briefly described with examples.

[0029] exist Figure 6In the example scenario shown, wireless access points (Radio Access Points) located in different locations are shown, such as a civil broadband wireless service device (CBSD), a user equipment (UE) (for example, which may include an incumbent access user, a priority access (PAL) user, and a general authorized access (GAA) user), and a spectrum management device (for example, a coexistence manager (CxM) or a spectrum access system (SAS) device).

[0030] In addition, the system can record the historical behavior of mobile access points. Due to the mobility of mobile access points and the change of spectrum demand, they will frequently access different SAS databases to query available spectrum, which will bring a lot of system overhead.

[0031] like Figure 1 As shown, the electronic device 100 for wireless communication according to this embodiment includes a processing circuit 110. The processing circuit 110 may be implemented as, for example, a specific chip, a chipset, or a central processing unit (CPU).

[0032] The processing circuit 110 includes an acquisition unit 111 and a determination unit 113. It should be noted that although the acquisition unit 111 and the determination unit 113 are shown in the form of functional blocks in the drawings, it should be understood that the functions of these units can also be implemented by the processing circuit 110 as a whole, and not necessarily by discrete actual components in the processing circuit 110. In addition, although the processing circuit 110 is shown as a block in the figure, the electronic device 100 may include multiple processing circuits, and the functions of the acquisition unit 111 and the determination unit 113 may be distributed to multiple processing circuits, so that the multiple processing circuits operate in coordination to perform these functions.

[0033] The electronic device according to this embodiment may be implemented on a spectrum management device side, or may be implemented on a mobile access point side, for example.

[0034] As an example, the spectrum management device may include a CxM or a device located at the SAS side. In addition, the mobile access point may include a CBSD or a UE, for example.

[0035] The acquiring unit 111 is configured to acquire parameters related to the behavior characteristics of the mobile access point.

[0036] The determining unit 113 is configured to determine a spectrum allocation mode for the mobile access point based on the parameters acquired by the acquiring unit 111. According to an embodiment, the determining unit 113 may also be configured to determine an access mode to the spectrum access system based on the parameters acquired by the acquiring unit 111.

[0037] The parameters acquired by the acquisition unit 111 may be determined based on one or more of the following information of the mobile access point: identification (ID), location, moving speed, time of spectrum request, and data flow in a period between spectrum requests. However, the present invention is not limited thereto.

[0038] As an example, the parameters related to the behavior characteristics of the mobile access point may include parameters related to the mobility of the mobile access point.

[0039] More specifically, the parameters related to mobility may include normalized eigenvalues ​​of a transfer matrix of a mobile access point, wherein elements of the transfer matrix correspond to probabilities of the mobile access point transferring between corresponding spectrum management devices.

[0040] Next, parameters related to the mobility of a mobile access point and methods for obtaining the parameters are described with reference to specific examples.

[0041] Assume that there are m SAS databases and n spectrum management devices (such as CxM) in a certain area. When a mobile access point (CBSD) moves between CxM management areas, it can record the spectrum management device (CxM and SAS) to which it belongs at different times, and use this to establish the position transfer probability matrix of the CBSD between CxM and SAS. This process can be completed on the CBSD side, so as not to bring new overhead to the SAS system.

[0042] For example, the position transfer probability matrix can be calculated in the following way: according to the historical position of the CBSD at this moment, the probability of the CBSD appearing in the corresponding CxM and SAS at this moment is calculated, and then according to the historical position of the CBSD at the next moment, the transfer probability is calculated, so that the transfer probability matrix at this moment can be obtained, for example, as shown in the following formula (1).

[0043]

[0044] Where P A (t) represents the transfer matrix, and the element P in the matrix ij represents the probability of the mobile access point transferring between spectrum management device i and spectrum management device j, and t represents the time.

[0045] In particular, in order to obtain the transition probability matrix of CBSD between SASs, the transitions of CBSD between different CxMs in the same SAS can be merged as appropriate, or the transition probabilities of CBSD between CxMs in the same SAS can be placed in adjacent positions and summed according to the SAS corresponding to CxM when necessary. In this way, the transfer information of CBSD between SASs and the transfer information of CBSD between CxMs can be retained.

[0046] After obtaining the transfer matrix, the normalized eigenvalues ​​can be calculated as follows:

[0047] Let the matrix P A The eigenvalues ​​of (t) are {λ1,λ2,...,λ n}, then the sum of its normalized eigenvalues ​​S is:

[0048]

[0049] Among them, max{} means taking the maximum value.

[0050] The integer part of the parameter S can be considered as the number of CxMs most frequently visited by the mobile access point. In addition, the eigenvalue vector itself can reflect the intensity of the mobile access point's visit to the corresponding CxM.

[0051] In addition, the characteristic values ​​of CxMs belonging to the same SAS may be calculated to obtain corresponding parameters, which respectively represent the number of most frequently accessed SASs and the intensity of access to the corresponding SASs.

[0052] Furthermore, considering that the mobile access points have different mobility characteristics in different time periods, such as holidays and working days, parameters related to mobility, such as transfer matrices, may also be determined for different time periods.

[0053] Accordingly, according to one embodiment, the acquisition unit 111 may be configured to respectively acquire the above parameters for different time periods, and the determination unit 113 may be configured to determine the access mode and / or spectrum allocation mode of the mobile access point within the target time period based on the parameters corresponding to the corresponding time period.

[0054] Specifically, in the historical records of the location of the CBSD, different flag bits may be used to distinguish historical periods such as holidays and working days when the behaviors of the mobile access points are greatly different. Accordingly, respective transfer matrices may be determined for different periods. As an example but not a limitation, the above-mentioned different periods may include: different periods of a day (e.g., daytime or night, or morning, morning, noon, afternoon, evening, night, and midnight, etc., or periods divided into hours or finer granularity); corresponding days of the week (e.g., Monday, Tuesday, ... Saturday and Sunday); working days (Monday to Friday) or rest days (weekends, holidays, etc.).

[0055] It should be understood that the parameters related to the mobility of the mobile access point in the embodiments of the present disclosure are not limited to the above examples.

[0056] As another example, the parameter related to the behavior characteristics of the mobile access point may include a parameter related to how fast the spectrum bandwidth used by the mobile access point changes.

[0057] More specifically, the parameter related to the speed of change may include a shape parameter of the probability distribution of the service demand of the mobile access point. As an example but not a limitation, the above probability distribution may include a generalized Pareto distribution (GPD).

[0058] Figure 8 The probability distribution function of the generalized Pareto distribution under different parameter values ​​is shown. The generalized Pareto distribution under different parameter values ​​can be, for example, heavy-tailed or light-tailed. Figure 8 The generalized Pareto distribution can be either light-tailed or heavy-tailed. The parameters of the generalized Pareto distribution include the location parameter μ, the scale parameter σ, and the shape parameter ξ. Since the location parameters need to be consistent in order for the curves to be together, Figure 8 Only the effects of the scale parameter σ and the shape parameter ξ are shown. Figure 8 The vertical axis of the probability density function is the probability value without unit, and the horizontal axis is the value range of the random variable, that is, the value range of the sample value after sampling, which may be unitless. In practical applications, the horizontal axis may correspond to the size of the data packet generated by the CBSD per unit time, for example, in Mib (megabyte).

[0059] Next, an example of a method for calculating a shape parameter (ξ) representing how fast or slow the traffic flow changes will be described.

[0060] Assume that in the historical record data, the sample size of the business data flow size is n, {x1, x2, x3, ..., x n} is the order statistic of the corresponding data flow, then:

[0061]

[0062]

[0063] First, the smallest sample x1 is selected as the value of the location parameter μ, and then the remaining scale parameter σ and shape parameter ξ can be determined. In addition, when the sample size is small, in order to improve the reliability of the estimated location parameter μ, the location parameter μ can be re-estimated after the scale parameter σ and shape parameter ξ are determined, so that a stable parameter value can be obtained by iteration. The shape parameter ξ can reflect the speed of business traffic change.

[0064] It should be noted that the parameters related to the speed of change of the spectrum bandwidth used by the mobile access point and the calculation method thereof in the embodiments of the present disclosure are not limited to the above examples.

[0065] In the case where the parameters include parameters related to the speed of change of the service flow, according to an embodiment, the determination unit 113 may be configured to: for a mobile access point whose stability of data flow change is higher than a predetermined level, reduce the frequency of access to the spectrum access system. Thus, the number of accesses to the SAS may be reduced.

[0066] The above describes an example embodiment in which the determining unit 113 determines the access mode to the spectrum access system based on the parameters acquired by the acquiring unit 111. In addition, the determining unit 113 may also determine the spectrum allocation mode for the mobile access point based on the parameters acquired by the acquiring unit 111.

[0067] According to one embodiment, the determining unit 113 may be configured to: determine the similarity between the first mobile access point and the second mobile access point based on the parameters for the first mobile access point and the parameters of the second mobile access point acquired by the acquiring unit 111; and when the determined similarity is higher than a predetermined level, determine the spectrum allocation scheme of the other of the first mobile access point and the second mobile access point according to a previously determined spectrum allocation scheme of one of the first mobile access point and the second mobile access point.

[0068] In other words, the spectrum allocation scheme of the target mobile access point can be determined by referring to the spectrum allocation scheme of another mobile access point similar to the target mobile access point. Thus, the overhead of the SAS system can be reduced.

[0069] Next, an example method of calculating the similarity between mobile access points is described.

[0070] The similarity between mobile access points can be defined as:

[0071]

[0072] θ sim (i, j) can represent the similarity of mobile access point j to mobile access point i. In formula (5), ω0 and ω1 are weights, where ω0+ω1=1, for example, ω0 and ω1 can be set to 0.5 respectively. Sgn(*) is the sign function. B max Indicates the maximum bandwidth requirement of the corresponding mobile access point.

[0073] The first half of the right side of the equal sign in formula (5) represents whether the maximum bandwidth demand of mobile access point j exceeds that of mobile access point i. If so, the sign function returns -1, and if not, it returns 1. This means that when the maximum demand of the newly added mobile access point does not exceed that of the original access point, the originally allocated bandwidth is roughly sufficient.

[0074] In the second half of the right side of the equation (5), and is the eigenvector of the position transfer probability matrix of mobile access point i and mobile access point j, that is, {λ1, λ2, ..., λ n Based on this item, it can be reflected whether the SAS frequently accessed by two mobile access points are the same.

[0075] When the weights are initially set, for example, it can be considered that the mobile access points are relatively similar when the similarity exceeds 0.75, and are very similar when the similarity exceeds 0.9, and similar spectrum allocation schemes can be determined accordingly.

[0076] It should be noted that the embodiments of the present disclosure are not limited to the details in the above examples.

[0077] In the above example, the spectrum allocation scheme is determined based on the similarity of two mobile access points. In addition, multiple mobile access points can also be classified based on parameters related to the behavior characteristics of the mobile access points, and similar access methods and / or spectrum allocation methods are applied to the same type of mobile access points.

[0078] According to one embodiment, the determination unit 113 may be configured to classify mobile access points according to parameters related to mobility and / or parameters related to how fast the required spectrum bandwidth changes, and determine an access method and / or spectrum allocation method accordingly for each classification.

[0079] Next, an example manner of clustering mobile access points is described.

[0080] First, the normalized eigenvalues ​​of the position transfer probability matrix of the mobile access point can be calculated, and the absolute values ​​can be taken and summed to obtain the parameters represented by the above formula (2). The parameters can reflect the overhead caused by the mobility of the mobile access point for the spectrum management device to implement spectrum management (for example, spectrum resources need to be reallocated at different locations, or the interference graph used by the coexistence management unit changes due to the change in location).

[0081] In addition, the shape parameter in the generalized Pareto distribution can be obtained as described above in combination with equations (3) and (4). When the parameter is greater than 0.5, the mean of the bandwidth required by the mobile access point does not converge, and when the parameter is greater than 1, the variance of the bandwidth required by the mobile access point does not converge.

[0082] Next, according to the actual system configuration, the mobile access point may, for example, report the above parameter information to the spectrum management device.

[0083] The spectrum management device (such as CxM or SAS, depending on the actual system configuration) can integrate the parameter information reported by the mobile access point (such as CBSD) and perform clustering based on the integrated parameters. Fig.12An example of clustering results is shown, where the horizontal and vertical axes correspond to the sum of the normalized eigenvalues ​​of the position transfer matrix (mobility parameter) and the shape parameter in the generalized Pareto distribution (traffic flow change speed parameter), respectively. Fig.12 In the example shown, the mobile access points represented by the four dots in the lower left corner may be classified into one category, while the mobile access point represented by the one dot in the upper right corner may be classified into another category.

[0084] For example, the shape parameter of the probability density function of the flow and the sum of the normalized eigenvalues ​​of the position transfer matrix can be statistically obtained based on the CBSD record (the record content may include, for example, the CBSD ID, the flag bit (for example, used to indicate the time period, etc.), the CBSD position, the CBSD moving speed, the data flow between the last timestamp and this timestamp, the timestamp, etc.). Then, the characteristics of the CBSD can be analyzed according to whether the shape parameter is greater than 1 and whether the sum of the normalized eigenvalues ​​is greater than 2, and the analysis results are whether the mobility is high and whether the demand is highly variable. For example, four types of users can be obtained by pairing two by two, namely, mobile access points with low mobility and stable demand changes, mobile access points with high mobility but stable demand changes, mobile access points with low mobility but drastic demand changes, and mobile access points with high mobility and drastic demand changes, and corresponding processing can be performed for different types of users.

[0085] In addition, if the mobile access points that bring more overhead are in the same SAS management area, the relevant spectrum management devices (such as CxM) can coordinate the allocation of the same or similar spectrum to avoid or reduce the reallocation of spectrum resources, or reserve a certain spectrum for these mobile access points to reduce their request times, thereby reducing system overhead. If the mobile access points that bring more overhead are in multiple SAS management areas, the relevant spectrum management devices (such as CxM) can query the upper SAS for the current available spectrum, and take the intersection of the available spectrum according to the information returned by the SAS. If the intersection is not empty, the intersection can be set as a public available channel, and the channel can be allocated to these mobile access points for use; if the intersection is empty, for example, the currently less used channel can be used as the public available channel. Mobile access points that bring more overhead can be set to use only public available channels, which can reduce the information interaction with the SAS during switching.

[0086] On the other hand, for mobile access points that do not bring too much system overhead, spectrum can be applied for more intelligently by predicting the data service needs of mobile access points, reducing the number of spectrum applications and the number of SAS database queries, thereby reducing the system overhead brought by these mobile access points.

[0087] In addition, given that the initial spectrum allocation for a newly added mobile access point is often somewhat blind, the mobile access point may access the SAS multiple times due to inappropriate spectrum allocation, increasing system overhead. Therefore, for a newly added mobile access point, the similarity between the access point and the mobile access point of the existing scheme can be calculated based on the behavioral model parameters of the access point, and a spectrum similar to that of the mobile access point with similar behavioral characteristics can be allocated. For example, when the similarity between a newly added CBSD and a CBSD of an existing allocation scheme exceeds a similarity threshold, a spectrum allocation scheme can be formulated for the newly added CBSD according to the existing allocation scheme. Thus, the overhead of a spectrum management device (such as a SAS or CxM) in formulating a spectrum allocation scheme can be reduced.

[0088] In the existing method, the CBSD is generally required to periodically access the SAS, which will bring about a relatively large overhead. According to the embodiment of the present disclosure, different types of mobile access points can be determined after behavioral feature analysis. In particular, for users with high mobility, the same spectrum can be allocated between the CxMs or SASs they frequently visit to avoid the CBSD from frequently applying for spectrum when quickly switching between different CxMs or SASs, thereby reducing system overhead.

[0089] Accordingly, according to one embodiment, the parameters acquired by the acquisition unit 111 may also include information related to the spectrum management devices visited by the mobile access point, and the determination unit 113 is further configured to determine at least partially the same spectrum allocation for a predetermined number of spectrum management devices with high visit frequency of the mobile access point.

[0090] In addition, for CBSDs with slower data traffic changes (more stable traffic), future demand can be predicted and spectrum can be applied for, and the heartbeat of the CBSD (i.e., the access cycle to the SAS) can be extended, thereby reducing the number of times the CBSD applies for spectrum from the SAS. For CBSDs with faster data traffic changes, for example, if there are no incumbent access users under it, the heartbeat of the CBSD can be extended and the number of spectrum applications can be limited to reduce the number of applications received by the SAS from the CBSD.

[0091] Accordingly, according to one embodiment, the service demand of the mobile access point may be predicted and a spectrum request may be made based on the predicted service demand.

[0092] like Figure 2 As shown, the electronic device 200 for wireless communication according to this embodiment includes a processing circuit 210. The processing circuit 210 includes an acquisition unit 211, a determination unit 213 and a prediction unit 215. The configurations of the acquisition unit 211 and the determination unit 213 are the same as those described above. Figure 1 Corresponding elements in the described embodiments are similar.

[0093] The prediction unit 215 is configured to predict the service demand of the mobile access point based on the parameters acquired by the acquisition unit 211 .

[0094] The determination unit 213 is further configured to determine a request for a spectrum of a corresponding width based on the service demand predicted by the prediction unit 215 .

[0095] In addition, according to one embodiment, a prediction of the dwell time may be provided, and the dwell time may be directly used as the spectrum license expiration time in the SAS, thereby reducing the periodic synchronization overhead caused by the fixed spectrum license expiration time.

[0096] Still refer to Figure 2 The present embodiment is described. The electronic device 200 for wireless communication according to the present embodiment includes a processing circuit 210. The processing circuit 210 includes an acquisition unit 211, a determination unit 213, and a prediction unit 215. The configurations of the acquisition unit 211 and the determination unit 213 are the same as those described above. Figure 1 Corresponding elements in the described embodiments are similar.

[0097] The prediction unit 215 is configured to predict the residence time of the mobile access point in its current area based on the parameters acquired by the acquisition unit 211 .

[0098] The determining unit 213 is further configured to determine a license expiration time of the spectrum allocated to the mobile access point according to the residence time predicted by the predicting unit 215 .

[0099] Existing mobile access point mobility models generally do not consider the residence time of the mobile access point in a certain area, or simply only consider the movement time. However, the inventors realize that the residence time is also of great significance to SAS / CxM spectrum allocation.

[0100] In addition, the area mentioned here may include a CxM management area. Accordingly, the residence time may refer to the residence time of the CBSD in a certain CxM management area.

[0101] The probability distribution of the dwell time can be estimated based on the historical behavior of the mobile access points ( Fig. 9 An example of the residence time distribution at different locations is shown), and the minimum residence time under a certain probability can be estimated.

[0102] It should be noted that the solutions of the above embodiments can be combined. Figure 7 The overall flow chart shown includes multiple aspects of the above-mentioned embodiments.

[0103] like Figure 7As shown, in S702, a time-varying transfer matrix is ​​determined. For example, the order of the transfer probability matrix about the location of the mobile access point can be determined according to the local record of the mobile access point (equivalent to the number of different spectrum management devices visited by the mobile access point in the previous period of time, or different locations within the management range of the same spectrum management device).

[0104] In addition, for example, the service data demand model of the mobile access point at different times (ie, the data traffic of the mobile access point) can be statistically analyzed based on the local records of the mobile access point, and the records can be fitted according to the generalized Pareto distribution.

[0105] At S704, the residence time distribution is classified. For example, the time when the mobile access point accesses different spectrum management devices or different locations within the management range of the same spectrum management device can be counted based on the local records of the mobile access point, and then the distribution of the access time can be fitted to obtain the probability distribution of the residence time of the mobile access point in the corresponding spectrum management device or in different locations within the management range of the same spectrum management device, and obtain the corresponding cumulative distribution function (for example, Fig. 9 shown).

[0106] In S706, a stay time prediction is performed.

[0107] Through the above series of processing, the most likely position of the mobile access point in the next synchronization period, the spectrum bandwidth required under a certain probability, and the residence time under a certain probability can be predicted.

[0108] In S708, the above information may be fed back to the spectrum management device.

[0109] Fig.10 A signaling interaction diagram corresponding to the above process is shown.

[0110] Specifically, the processing performed on the CBSD side may include: (1) determining the transfer matrix, (2) determining the residence time distribution, (3) determining the business pattern distribution, (4) predicting the location and residence time, (5) predicting the spectrum request based on the business pattern distribution, and (6) uploading the parameters to the CxM.

[0111] The processing performed on the CxM side may include: (7) integrating uploaded messages, (8) classifying the behavior of the CBSD, (9) performing spectrum query based on the behavior of the CBSD, and (10) issuing a spectrum query request to the SAS.

[0112] Thereafter, in process (11), SAS may send a response message to CxM.

[0113] It should be noted that the processing at the CxM and the SAS may be combined in one place (eg, performed at the CxM or at the SAS).

[0114] As mentioned above, the electronic device according to this embodiment may be implemented on the spectrum management device side or the mobile access point side.

[0115] According to one embodiment, the electronic device is provided at a spectrum management device side and is configured to receive parameters from a mobile access point.

[0116] like Figure 3 As shown, the electronic device 300 for wireless communication according to this embodiment includes a processing circuit 310. The processing circuit 310 includes an acquisition unit 311, a determination unit 313 and a transceiver control unit 315. The configurations of the acquisition unit 311 and the determination unit 313 are the same as those in the previous reference. Figure 1 Corresponding elements in the described embodiments are similar.

[0117] The transceiver control unit 315 is configured to perform control to receive parameters from the mobile access point. The received parameters may be provided to the acquisition unit 311 .

[0118] According to another embodiment, the electronic device is provided at a mobile access point side, and is configured to notify the spectrum management device of the determined access mode and / or spectrum allocation mode.

[0119] Still refer to Figure 3 According to the present embodiment, the electronic device 300 for wireless communication includes a processing circuit 310. The processing circuit 310 includes an acquisition unit 311, a determination unit 313, and a transceiver control unit 315. The configurations of the acquisition unit 311 and the determination unit 313 are similar to those of the above reference. Figure 1 Corresponding elements in the described embodiments are similar.

[0120] The transceiver control unit 315 is configured to perform control to notify the spectrum management apparatus of the access mode and / or spectrum allocation mode determined by the determination unit 313 .

[0121] In the above-mentioned embodiment, the actual behavior model of the mobile access point is established through the behavior of the mobile access point, thereby predicting the mobility and service traffic pattern of the mobile access point. In addition, different spectrum management units can interactively share the behavior characteristic parameters of the mobile access point, and design an optimized access strategy based on this, thereby reducing system overhead.

[0122] In addition, the embodiments of the present disclosure may also have one or more of the following advantages:

[0123] Ability to predict the future location of a mobile access point, the dwell time at that location, and the demand for the mobile access point based on the behavior characteristics of the mobile access point;

[0124] Ability to identify mobile access points that bring more overhead without introducing additional overhead to the SAS system;

[0125] It can avoid the multiple spectrum request overhead caused by the high mobility mobile access point switching between management areas of different spectrum management devices (such as SAS or CxM); and

[0126] The rationality of the spectrum applied for by the mobile access point can be improved, so as to better meet the needs of the mobile access point and thus reduce system overhead.

[0127] Next, the effects of the embodiments of the present disclosure are further explained in combination with simulation results.

[0128] In order to verify the performance of the proposed solution, a 3.5GHz spectrum access system was selected as the simulation scenario. In this scenario, there are a large number of historical behavior records of mobile access points for modeling the behavior characteristics of mobile access points. Specifically, five mobile access points are distributed in an area of ​​2000 meters by 2000 meters. It is assumed that there are four SAS databases (SAS#1-SAS#4) in the area. Each SAS database has a spectrum management device (CxM) that manages the same area, and one of the mobile access points has high mobility. It should be noted that Fig.11 FIG. 4 only shows the distribution of mobile access points in each SAS area at a certain moment. In the simulation, the position of each mobile access point changes dynamically.

[0129] In addition, the parameters used in the simulation are shown in Table 1 below.

[0130] Table 1:

[0131] parameter value Number of SAS databases 4 CBSD quantity 5 Simulation times 100 Single simulation duration 3 hours CBSD-SAS update duration 2 minutes

[0132] The simulation is aimed at the number of times multiple CBSDs access the SAS within a period of time. In order to verify the stability and effectiveness of the algorithm, it is necessary to count the number of different CBSD mobile trajectories accessing the SAS within the same time. Therefore, multiple simulations ("Number of simulations" in the above table) were performed, where each simulation corresponds to the CBSD mobile trajectory within a period of time ("Single simulation duration" in the above table).

[0133] Fig.12The mobile access point clustering results for the overhead caused by the mobility of the mobile access point (the X-axis parameter is the sum of the normalized eigenvalues ​​of the probability transfer matrix of the mobile access point location) and the overhead caused by the change in the demand for the mobile access point (the Y-axis parameter is the shape parameter in the generalized Pareto distribution). The mobile access point closer to the upper right has a greater overhead. This method can be used to distinguish the mobile access points that bring greater overhead.

[0134] Fig.13 The simulation results of the number of SAS connections are shown. It can be seen from the simulation results that the number of SAS database accesses has decreased significantly after the overhead reduction strategy is adopted, compared with the case where the overhead reduction strategy is not adopted, thereby reducing the overhead of the SAS system. In addition, when prediction is further adopted, the number of SAS database accesses can be further reduced.

[0135] In the above description of the device embodiment, it is obvious that some processes and methods are also disclosed. Next, without repeating the details described above, a description of the wireless communication method according to the embodiment of the present disclosure is given.

[0136] like Figure 4 As shown, the wireless communication method according to an embodiment includes a step S410 of acquiring parameters related to the behavior characteristics of the mobile access point, and a step S420 of determining the spectrum allocation method for the mobile access point based on the parameters. In addition, the wireless communication method according to an embodiment may also include a step of determining an access method to the spectrum access system based on the parameters.

[0137] The above parameters may include parameters related to the mobility of the mobile access point and / or parameters related to the speed of change of the spectrum bandwidth used by the mobile access point.

[0138] More specifically, the parameters related to mobility may include the normalized eigenvalues ​​of the transfer matrix of the mobile access point, wherein the elements of the transfer matrix correspond to the probability of the mobile access point transferring between the corresponding spectrum management devices. The parameters related to the speed of change may include the shape parameters of the probability distribution of the service demand of the mobile access point.

[0139] In addition, the embodiment of the present disclosure also includes a computer-readable medium, which includes executable instructions. When the executable instructions are executed by an information processing device, the information processing device executes the wireless communication method according to the embodiment of the present disclosure.

[0140] As an example, each step of the above method and each component module and / or unit of the above device can be implemented as software, firmware, hardware or a combination thereof. In the case of being implemented by software or firmware, it can be transmitted from a storage medium or a network to a computer (e.g., a computer) having a dedicated hardware structure. Fig.14The general-purpose computer 2000 shown in the figure is installed with programs constituting software for implementing the above-mentioned method. When various programs are installed on the computer, it is possible to execute various functions, etc.

[0141] exist Fig.14 In the embodiment of the present invention, an operation processing unit (i.e., CPU) 2001 performs various processes according to a program stored in a read-only memory (ROM) 2002 or a program loaded from a storage section 2008 to a random access memory (RAM) 2003. In the RAM 2003, data required when the CPU 2001 performs various processes and the like is also stored as needed. The CPU 2001, the ROM 2002, and the RAM 2003 are linked to each other via a bus 2004. An input / output interface 2005 is also linked to the bus 2004.

[0142] The following components are linked to the input / output interface 2005: an input section 2006 (including a keyboard, a mouse, etc.), an output section 2007 (including a display such as a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.), a storage section 2008 (including a hard disk, etc.), a communication section 2009 (including a network interface card such as a LAN card, a modem, etc.). The communication section 2009 performs communication processing via a network such as the Internet. A drive 2010 may also be linked to the input / output interface 2005 as needed. A removable medium 2011 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc. is installed on the drive 2010 as needed, so that a computer program read therefrom is installed in the storage section 2008 as needed.

[0143] In the case where the above-described series of processing is realized by software, a program constituting the software is installed from a network such as the Internet or a storage medium such as the removable medium 2011 .

[0144] It should be understood by those skilled in the art that such storage media is not limited to Fig.14 The removable medium 2011 shown has a program stored therein and is distributed separately from the device to provide the program to the user. Examples of the removable medium 2011 include magnetic disks (including floppy disks (registered trademark)), optical disks (including compact disk read-only memory (CD-ROM) and digital versatile disks (DVD)), magneto-optical disks (including minidiscs (MD) (registered trademark)), and semiconductor memories. Alternatively, the storage medium may be a ROM 2002, a hard disk included in the storage section 2008, or the like, in which the program is stored and distributed to the user together with the device containing them.

[0145] The embodiment of the present invention further relates to a program product storing machine-readable instruction codes. When the instruction codes are read and executed by a machine, the method according to the embodiment of the present invention can be executed.

[0146] Accordingly, the storage medium for carrying the program product storing the machine-readable instruction code is also included in the disclosure of the present invention, including but not limited to a floppy disk, an optical disk, a magneto-optical disk, a memory card, a memory stick, and the like.

[0147] Embodiments of the present application also relate to the following electronic devices. In the case where the electronic device is used on the base station side, the electronic device can be implemented as any type of evolved Node B (eNB), such as a macro eNB and a small eNB. A small eNB can be an eNB that covers a cell smaller than a macro cell, such as a pico eNB, a micro eNB, and a home (femto) eNB. Alternatively, the electronic device can be implemented as any other type of base station, such as a NodeB and a base transceiver station (BTS). The electronic device may include: a main body (also referred to as a base station device) configured to control wireless communications; and one or more remote radio heads (RRHs) arranged in a place different from the main body. In addition, the various types of terminals described below can all work as base stations by temporarily or semi-persistently performing base station functions.

[0148] When the electronic device is used on the user equipment side, it can be implemented as a mobile terminal (such as a smart phone, a tablet personal computer (PC), a notebook PC, a portable game terminal, a portable / dongle-type mobile router, and a digital camera) or a vehicle-mounted terminal (such as a car navigation device). In addition, the electronic device can be a wireless communication module (such as an integrated circuit module including a single or multiple chips) installed on each of the above terminals.

[0149] [Application examples for terminal devices]

[0150] Fig.15 2 is a block diagram showing an example of a schematic configuration of a smartphone 2500 to which the technology of the present disclosure can be applied. The smartphone 2500 includes a processor 2501, a memory 2502, a storage device 2503, an external connection interface 2504, a camera 2506, a sensor 2507, a microphone 2508, an input device 2509, a display device 2510, a speaker 2511, a wireless communication interface 2512, one or more antenna switches 2515, one or more antennas 2516, a bus 2517, a battery 2518, and an auxiliary controller 2519.

[0151] The processor 2501 may be, for example, a CPU or a system on chip (SoC), and controls the functions of the application layer and other layers of the smartphone 2500. The memory 2502 includes a RAM and a ROM, and stores data and programs executed by the processor 2501. The storage device 2503 may include a storage medium such as a semiconductor memory and a hard disk. The external connection interface 2504 is an interface for connecting an external device (such as a memory card and a universal serial bus (USB) device) to the smartphone 2500.

[0152] The camera 2506 includes an image sensor such as a charge coupled device (CCD) and a complementary metal oxide semiconductor (CMOS), and generates a captured image. The sensor 2507 may include a group of sensors such as a measurement sensor, a gyroscope sensor, a geomagnetic sensor, and an acceleration sensor. The microphone 2508 converts the sound input to the smart phone 2500 into an audio signal. The input device 2509 includes, for example, a touch sensor, a keypad, a keyboard, a button, or a switch configured to detect a touch on the screen of the display device 2510, and receives an operation or information input from a user. The display device 2510 includes a screen such as a liquid crystal display (LCD) and an organic light emitting diode (OLED) display, and displays an output image of the smart phone 2500. The speaker 2511 converts the audio signal output from the smart phone 2500 into sound.

[0153] The wireless communication interface 2512 supports any cellular communication scheme (such as LTE and LTE-Advanced), and performs wireless communication. The wireless communication interface 2512 may generally include, for example, a baseband (BB) processor 2513 and a radio frequency (RF) circuit 2514. The BB processor 2513 may perform, for example, encoding / decoding, modulation / demodulation, and multiplexing / demultiplexing, and perform various types of signal processing for wireless communication. Meanwhile, the RF circuit 2514 may include, for example, a mixer, a filter, and an amplifier, and transmit and receive wireless signals via an antenna 2516. The wireless communication interface 2512 may be a chip module on which the BB processor 2513 and the RF circuit 2514 are integrated. Fig.15 As shown, the wireless communication interface 2512 may include multiple BB processors 2513 and multiple RF circuits 2514. Fig.15 An example is shown in which the wireless communication interface 2512 includes a plurality of BB processors 2513 and a plurality of RF circuits 2514 , but the wireless communication interface 2512 may also include a single BB processor 2513 or a single RF circuit 2514 .

[0154] In addition, in addition to the cellular communication scheme, the wireless communication interface 2512 can support other types of wireless communication schemes, such as short-range wireless communication schemes, near field communication schemes, and wireless local area network (LAN) schemes. In this case, the wireless communication interface 2512 can include a BB processor 2513 and an RF circuit 2514 for each wireless communication scheme.

[0155] Each of the antenna switches 2515 switches a connection destination of the antenna 2516 between a plurality of circuits (eg, circuits for different wireless communication schemes) included in the wireless communication interface 2512 .

[0156] Each of the antennas 2516 includes a single or multiple antenna elements (such as multiple antenna elements included in a MIMO antenna) and is used for the wireless communication interface 2512 to transmit and receive wireless signals. Fig.15 As shown, the smart phone 2500 may include multiple antennas 2516. Fig.15 An example is shown in which the smart phone 2500 includes a plurality of antennas 2516 , but the smart phone 2500 may also include a single antenna 2516 .

[0157] In addition, the smartphone 2500 may include an antenna 2516 for each wireless communication scheme. In this case, the antenna switch 2515 may be omitted from the configuration of the smartphone 2500.

[0158] The bus 2517 connects the processor 2501, the memory 2502, the storage device 2503, the external connection interface 2504, the camera 2506, the sensor 2507, the microphone 2508, the input device 2509, the display device 2510, the speaker 2511, the wireless communication interface 2512, and the auxiliary controller 2519 to each other. The battery 2518 is fed to the Fig.15 The various blocks of the smartphone 2500 shown are supplied with power, the feed lines being partially shown as dashed lines in the figure. The auxiliary controller 2519 operates the minimum necessary functions of the smartphone 2500, for example in a sleep mode.

[0159] exist Fig.15In the illustrated smart phone 2500, the transceiver of the device on the user equipment side can be implemented by the wireless communication interface 2512. At least a part of the functions of the processing circuit and / or each unit of the electronic device or information processing device on the user equipment side can also be implemented by the processor 2501 or the auxiliary controller 2519. For example, the power consumption of the battery 2518 can be reduced by having the auxiliary controller 2519 execute part of the functions of the processor 2501. In addition, the processor 2501 or the auxiliary controller 2519 can execute at least a part of the functions of the processing circuit and / or each unit of the electronic device or information processing device on the user equipment side by executing the program stored in the memory 2502 or the storage device 2503.

[0160] [Application examples for base stations]

[0161] Fig.16 23 is a block diagram showing an example of a schematic configuration of a gNB to which the technology of the present disclosure can be applied. The gNB 2300 includes a plurality of antennas 2310 and a base station device 2320. The base station device 2320 and each antenna 2310 can be connected to each other via a radio frequency (RF) cable.

[0162] Each of the antennas 2310 includes a single or multiple antenna elements (such as multiple antenna elements included in a multiple-input multiple-output (MIMO) antenna) and is used for the base station device 2320 to transmit and receive wireless signals. Fig.16 As shown, the gNB 2300 may include multiple antennas 2310. For example, the multiple antennas 2310 may be compatible with multiple frequency bands used by the gNB 2300.

[0163] The base station device 2320 includes a controller 2321 , a memory 2322 , a network interface 2323 , and a wireless communication interface 2325 .

[0164] The controller 2321 may be, for example, a CPU or a DSP, and operates various functions of the higher layers of the base station device 2320. For example, the controller 2321 generates a data packet based on the data in the signal processed by the wireless communication interface 2325, and transmits the generated packet via the network interface 2323. The controller 2321 may bundle data from a plurality of baseband processors to generate a bundled packet, and transmit the generated bundled packet. The controller 2321 may have a logical function to perform the following control: the control may be such as radio resource control, radio bearer control, mobility management, admission control, and scheduling. The control may be performed in conjunction with a nearby gNB or core network node. The memory 2322 includes a RAM and a ROM, and stores programs executed by the controller 2321 and various types of control data (such as a terminal list, transmission power data, and scheduling data).

[0165] The network interface 2323 is a communication interface for connecting the base station device 2320 to the core network 2324. The controller 2321 can communicate with the core network node or another gNB via the network interface 2323. In this case, the gNB 2300 and the core network node or other gNBs can be connected to each other through logical interfaces such as S1 interfaces and X2 interfaces. The network interface 2323 can also be a wired communication interface or a wireless communication interface for a wireless backhaul line. If the network interface 2323 is a wireless communication interface, the network interface 2323 can use a higher frequency band for wireless communication compared to the frequency band used by the wireless communication interface 2325.

[0166] The wireless communication interface 2325 supports any cellular communication scheme (such as long term evolution (LTE) and LTE-Advanced), and provides wireless connection to a terminal located in a cell of the gNB 2300 via the antenna 2310. The wireless communication interface 2325 may generally include, for example, a BB processor 2326 and an RF circuit 2327. The BB processor 2326 may perform, for example, encoding / decoding, modulation / demodulation, and multiplexing / demultiplexing, and perform various types of signal processing of layers (such as L1, medium access control (MAC), radio link control (RLC), and packet data convergence protocol (PDCP)). Instead of the controller 2321, the BB processor 2326 may have part or all of the above-mentioned logical functions. The BB processor 2326 may be a memory storing a communication control program, or a module including a processor configured to execute a program and related circuits. Updating the program may change the function of the BB processor 2326. The module may be a card or a blade inserted into a slot of the base station device 2320. Alternatively, the module may also be a chip mounted on a card or a blade. Meanwhile, the RF circuit 2327 may include, for example, a mixer, a filter, and an amplifier, and transmit and receive wireless signals via the antenna 2310 .

[0167] like Fig.16 As shown, the wireless communication interface 2325 may include multiple BB processors 2326. For example, the multiple BB processors 2326 may be compatible with multiple frequency bands used by the gNB 2300. Fig.16 As shown, the wireless communication interface 2325 may include multiple RF circuits 2327. For example, the multiple RF circuits 2327 may be compatible with multiple antenna elements. Fig.16 An example is shown in which the wireless communication interface 2325 includes a plurality of BB processors 2326 and a plurality of RF circuits 2327 , but the wireless communication interface 2325 may also include a single BB processor 2326 or a single RF circuit 2327 .

[0168] exist Fig.16In the gNB 2300 shown, the transceiver of the wireless communication device on the base station side can be implemented by the wireless communication interface 2325. At least part of the functions of the processing circuit and / or each unit of the electronic device or wireless communication device on the base station side can also be implemented by the controller 2321. For example, the controller 2321 can execute at least part of the functions of the processing circuit and / or each unit of the electronic device or wireless communication device on the base station side by executing the program stored in the memory 2322.

[0169] In the above description of specific embodiments of the present invention, features described and / or shown for one embodiment may be used in the same or similar manner in one or more other embodiments, combined with features in other embodiments, or replace features in other embodiments.

[0170] It should be emphasized that the term “include / comprises” when used herein refers to the presence of features, elements, steps or components, but does not exclude the presence or addition of one or more other features, elements, steps or components.

[0171] In the above embodiments and examples, reference numerals are used to represent various steps and / or units. It should be understood by those skilled in the art that these reference numerals are only for the convenience of description and drawing, and do not represent the order or any other limitation.

[0172] In addition, the method of the present invention is not limited to being executed in the time sequence described in the specification, and may also be executed in other time sequences, in parallel or independently. Therefore, the execution order of the method described in this specification does not limit the technical scope of the present invention.

[0173] Although the present invention has been disclosed above by describing specific embodiments of the present invention, it should be understood that all the above embodiments and examples are exemplary rather than restrictive. Those skilled in the art may design various modifications, improvements or equivalents of the present invention within the spirit and scope of the appended claims. These modifications, improvements or equivalents should also be considered to be included in the protection scope of the present invention.

Claims

1. An electronic device for wireless communication, comprising: A processing circuit, wherein the processing circuit is configured to obtain parameters related to behavior characteristics of a user equipment performing wireless access; as well as determining a spectrum allocation mode for the user equipment based on parameters related to the behavior characteristics, The parameters related to the behavior characteristics include parameters that can indicate how fast the spectrum bandwidth used by the user equipment changes.

2. The electronic device according to claim 1, wherein: The behavior characteristics include the stability of data traffic changes or the speed of changes in the spectrum bandwidth used by the user equipment.

3. The electronic device according to claim 1, wherein: The parameter capable of indicating the speed of change of the spectrum bandwidth includes a shape parameter of the probability distribution of the service demand of the user equipment.

4. The electronic device according to claim 1, wherein: The processing circuit is further configured to determine an access method to a spectrum access system based on the parameters.

5. The electronic device according to claim 4, wherein: The parameters related to the behavior characteristics also include parameters indicating the stability of data flow changes, and the processing circuit is further configured to: When the stability of the indicated data traffic change is higher than a predetermined level, the access frequency of the user equipment to the spectrum access system is reduced.

6. The electronic device according to claim 4, wherein: The processing circuit is further configured to: The user equipment is classified according to the parameters, and the access mode and / or the spectrum allocation mode is determined accordingly for each classification.

7. The electronic device according to claim 1, wherein: The user equipment includes a plurality of user equipments, and the processing circuit is further configured to: Comparing the parameters of the first user equipment and the corresponding parameters of the second user equipment to determine the similarity between the first user equipment and the second user equipment; as well as In case the determined similarity is higher than a predetermined level, determining a spectrum allocation scheme for the other of the first user equipment and the second user equipment according to a previously determined spectrum allocation scheme for one of the first user equipment and the second user equipment.

8. The electronic device according to claim 1, wherein: The processing circuit is further configured to: predicting the service demand of the user equipment based on the parameters; and A request for a spectrum of corresponding width is determined based on the predicted traffic demand.

9. The electronic device according to claim 1, wherein: The parameters related to the behavior characteristics also include information related to a spectrum management device visited by the user equipment, and the processing circuit is further configured to: For a predetermined number of spectrum management devices that are frequently accessed by the user equipment, at least partially identical spectrum allocations are determined.

10. The electronic device according to claim 1, wherein: The processing circuit is further configured to: Predicting the residence time of the user equipment in its current area based on parameters related to the behavior characteristics; as well as A license expiration time of the spectrum allocated to the user equipment is determined according to the predicted residence time.

11. The electronic device according to claim 1, wherein: The parameter related to the behavior feature is determined based on one or more of the following information of the user equipment: identification, location, moving speed, time of making spectrum request, and data flow in a period between spectrum requests.

12. The electronic device according to claim 1, wherein: The processing circuit is configured to: Obtaining the parameters for different time periods respectively; and The spectrum allocation mode of the user equipment within a target time period is determined based on the parameters corresponding to the corresponding time period.

13. The electronic device according to claim 2, wherein: The behavior characteristics also include the mobility of the user equipment.

14. The electronic device according to any one of claims 1 to 13, wherein: The electronic device is provided at a spectrum management device side, and the processing circuit is configured to perform control to receive the parameter from the user equipment.

15. The electronic device according to any one of claims 1 to 13, wherein: The electronic device is arranged at the user equipment side, and the processing circuit is further configured to control so as to notify the spectrum management device of the determined spectrum allocation mode.

16. The electronic device according to claim 14, wherein: The spectrum management device includes a coexistence manager or a device located at the spectrum access system side.

17. A wireless communication method, comprising: Acquiring parameters related to behavioral characteristics of a user equipment performing wireless access; as well as determining a spectrum allocation mode for the user equipment based on parameters related to the behavior characteristics, The parameters related to the behavior characteristics include parameters that can indicate how fast the spectrum bandwidth used by the user equipment changes.

18. The method according to claim 17, wherein: The behavior characteristics include the stability of data traffic changes or the speed of changes in the spectrum bandwidth used by the user equipment.

19. The method according to claim 17, wherein: The parameter capable of indicating the speed of change of the spectrum bandwidth includes a shape parameter of the probability distribution of the service demand of the user equipment.

20. The method according to claim 18, wherein: The behavior characteristics also include the mobility of the user equipment.

21. A computer-readable medium comprising executable instructions, which, when executed by an information processing device, causes the information processing device to perform the method according to any one of claims 17 to 20.

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