Communication link selection method and device, equipment, storage medium and product

Abstract

The invention relates to the technical field of communication, and particularly provides a communication link selection method and device, equipment, a storage medium and a product. The method comprises the following steps: respectively aiming at each communication link in a link measurement set, based on a link parameter of the communication link and physical environment information, constructing a first path loss expression corresponding to the communication link; the physical environment information comprises a plurality of dielectric constant parameters; for each communication link in the link estimation set, constructing a second path loss expression corresponding to the communication link based on the link parameter of the communication link and the physical environment information; and based on the first path loss expression and the second path loss expression, solving an optimal solution of the objective function of operation planning optimization, and determining a target communication link. In this way, the selection of communication links for measuring data is optimized for the estimation of dielectric constant parameters.

Description

Technical Field

[0001] The present disclosure relates to the field of communication technology, and in particular to a method, device, equipment, storage medium and product for selecting a communication link. Background Art

[0002] In communication application scenarios, some communication links in the target communication environment are usually selected, and the path loss of each selected communication link is periodically collected, and the dielectric constant parameters affecting the channel in the environment are estimated through each path loss. Among them, multiple signal sending devices and signal receiving devices are deployed in the target communication environment, and a corresponding communication link is formed between each group of signal sending devices and signal receiving devices.

[0003] In the traditional method, a communication link is usually selected by random selection to estimate the dielectric constant parameter. However, the estimation performance of the dielectric constant parameter may be poor in this method.

[0004] Therefore, how to optimize the selection of the communication link used to measure data with respect to the estimation of the dielectric constant parameters is a problem that needs to be solved. Summary of the invention

[0005] To solve the above problems, the embodiments of the present disclosure provide a method, apparatus, device, storage medium and product for selecting a communication link.

[0006] In one aspect, an embodiment of the present disclosure provides a method for selecting a communication link, the method being applied to selecting at least one communication link from a link measurement set of a target communication environment as a target communication link for path loss measurement; each communication link includes a signal sending device and a signal receiving device; the target communication environment also includes a link estimation set;

[0007] Methods include:

[0008] Acquire link parameters of each communication link in the target communication environment and physical environment information of the target communication environment, wherein the physical environment information includes a plurality of dielectric constant parameters;

[0009] For each communication link in the link measurement set, based on the link parameters of the communication link and the physical environment information, construct a first path loss expression corresponding to the communication link;

[0010] For each communication link in the link estimation set, based on the link parameters of the communication link and the physical environment information, construct a second path loss expression corresponding to the communication link;

[0011] Based on the first path loss expression and the second path loss expression, the optimal solution of the objective function of the operations research optimization is solved to determine the target communication link; wherein the optimal solution is a subset of communication links selected from the link measurement set, each communication link in the communication link subset is used as the target communication link, and the optimal solution minimizes the total estimation error of the second path loss of the link estimation set based on the first path loss of the target communication link.

[0012] In one embodiment, the physical environment information further includes: environmental geometry modeling of the target communication environment, ray interaction information of each communication link;

[0013] Environmental geometry modeling represents the location and shape of environmental objects in the target communication environment;

[0014] The ray interaction information includes the coordinates of the interaction points between the multiple rays of the communication link and the target communication environment and the interaction types.

[0015] In one implementation, the first path loss and the second path loss are both reference signal received power; the link parameters include: a first antenna gain of a signal transmitting device, a second antenna gain of a signal receiving device, and a transmit power;

[0016] The reference signal receiving power of each communication link is positively correlated with the corresponding first antenna gain, second antenna gain, transmit power, and path energy gain;

[0017] The path energy gain is determined based on the environment geometry modeling, the device locations of the signal sending device and the signal receiving device, the ray interaction information, and the various dielectric constant parameters.

[0018] In one implementation, the objective function is:

[0019]

[0020] Optimal solution for:

[0021]

[0022] Where H represents the total estimation error, represents the expectation function, i represents the serial number of the communication link in the link measurement set, R i represents the first path loss through the communication link i, k represents the sequence number of the communication link in the link estimation set, A k represents the second path loss of communication link k, C represents the second path loss set corresponding to the link estimation set, v represents the communication link subset variable, h i→k is a single sample mutual prediction function, which means that each dielectric constant parameter is used as a medium, based on R i Estimation Ak The estimation error.

[0023] In one implementation, the single sample mutual prediction function h i→k According to R i The Jacobian matrix of k The Jacobian matrix is ​​determined by;

[0024] R i The Jacobian matrix of is:

[0025]

[0026] A k The Jacobian matrix of is:

[0027]

[0028] Where m is the serial number of the dielectric constant parameter, ∈ m represents the mth dielectric constant parameter, where m and M are positive integers and M is the total number of dielectric constant parameters.

[0029] In one implementation, the single sample mutual prediction function is:

[0030]

[0031] Where D is the M*M unit matrix and c is the coefficient.

[0032] In one implementation, the objective function has constraints, which include:

[0033] The value range of each dielectric constant parameter is a set of set parameter values;

[0034] The number of communication links in the communication link subset is not greater than a number threshold.

[0035] In one aspect, an embodiment of the present disclosure provides a device for selecting a communication link, the device being used to select at least one communication link from a link measurement set of a target communication environment as a target communication link for path loss measurement; each communication link includes a signal sending device and a signal receiving device; the target communication environment also includes a link estimation set;

[0036] The device includes:

[0037] An acquisition unit, configured to acquire link parameters of each communication link in a target communication environment and physical environment information of the target communication environment, wherein the physical environment information includes a plurality of dielectric constant parameters;

[0038] A first constructing unit is used to construct, for each communication link in the link measurement set, a first path loss expression corresponding to the communication link based on the link parameters of the communication link and the physical environment information;

[0039] A second construction unit is used to construct, for each communication link in the link estimation set, a second path loss expression corresponding to the communication link based on the link parameters of the communication link and the physical environment information;

[0040] A determination unit is used to solve the optimal solution of the objective function of operations optimization based on the first path loss expression and the second path loss expression, and determine the target communication link; wherein the optimal solution is a subset of communication links screened out from the link measurement set, each communication link in the communication link subset is used as the target communication link, and the optimal solution minimizes the total estimation error of the second path loss of the link estimation set based on the first path loss of the target communication link.

[0041] In one embodiment, the physical environment information further includes: environmental geometry modeling of the target communication environment, and ray interaction information of each communication link; the environmental geometry modeling represents the position and shape of environmental objects in the target communication environment;

[0042] The ray interaction information includes the coordinates of the interaction points between the multiple rays of the communication link and the target communication environment and the interaction types.

[0043] In one implementation, the first path loss and the second path loss are both reference signal received power; the link parameters include: a first antenna gain of a signal transmitting device, a second antenna gain of a signal receiving device, and a transmit power;

[0044] The reference signal receiving power of each communication link is positively correlated with the corresponding first antenna gain, second antenna gain, transmit power, and path energy gain;

[0045] The path energy gain is determined based on the environment geometry modeling, the device locations of the signal sending device and the signal receiving device, the ray interaction information, and the various dielectric constant parameters.

[0046] In one implementation, the objective function is:

[0047]

[0048] Optimal solution for:

[0049]

[0050] Where H represents the total estimation error, represents the expectation function, i represents the serial number of the communication link in the link measurement set, R i represents the first path loss through the communication link i, k represents the sequence number of the communication link in the link estimation set, A k represents the second path loss of communication link k, C represents the second path loss set corresponding to the link estimation set, v represents the communication link subset variable, h i→k is a single sample mutual prediction function, which means that each dielectric constant parameter is used as a medium, based on R i Estimation A k The estimation error.

[0051] In one implementation, the single sample mutual prediction function h i→k According to R i The Jacobian matrix of k The Jacobian matrix is ​​determined by;

[0052] R i The Jacobian matrix of is:

[0053]

[0054] A k The Jacobian matrix of is:

[0055]

[0056] Where m is the serial number of the dielectric constant parameter, ∈ m represents the mth dielectric constant parameter, where m and M are positive integers and M is the total number of dielectric constant parameters.

[0057] In one implementation, the single sample mutual prediction function is:

[0058]

[0059] Where D is the M*M unit matrix and c is the coefficient.

[0060] In one implementation, the objective function has constraints, which include:

[0061] The value range of each dielectric constant parameter is a set of set parameter values;

[0062] The number of communication links in the communication link subset is not greater than a number threshold.

[0063] In one aspect, an electronic device is provided in an embodiment of the present disclosure, including:

[0064] Processor; and

[0065] The memory stores computer instructions, and the computer instructions are used to enable the processor to execute the steps of the method provided in various optional implementations of any of the above communication link selections.

[0066] On the one hand, an embodiment of the present disclosure provides a computer-readable storage medium storing computer instructions for causing a computer to execute steps of a method provided in various optional implementations of any of the above-mentioned communication link selections.

[0067] On the one hand, a computer program product is provided in an embodiment of the present disclosure, including a computer-readable code, or a non-volatile computer-readable storage medium carrying the computer-readable code. When the computer-readable code runs in a processor of an electronic device, the processor in the electronic device executes the steps of the method provided in various optional implementation methods selected by any of the above-mentioned communication links.

[0068] The method for selecting a communication link in an embodiment of the present disclosure includes obtaining link parameters of each communication link in a target communication environment and physical environment information of the target communication environment, wherein the physical environment information includes multiple dielectric constant parameters; for each communication link in a link measurement set, based on the link parameters of the communication link and the physical environment information, constructing a first path loss expression corresponding to the communication link; for each communication link in a link estimation set, based on the link parameters of the communication link and the physical environment information, constructing a second path loss expression corresponding to the communication link; based on the first path loss expression and the second path loss expression, solving the optimal solution of the objective function of operations optimization to determine the target communication link; wherein the optimal solution is a subset of communication links selected from the link measurement set, each communication link in the subset of communication links is used as the target communication link, and the optimal solution minimizes the total estimated error of the second path loss of the link estimation set based on the first path loss of the target communication link. In this way, the selection of the communication link used for measuring data can be optimized for the estimation of the dielectric constant parameters. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 It is a top view of a target measurement environment in an embodiment of the present disclosure.

[0070] Figure 2 It is a flow chart of a method for selecting a communication link in an embodiment of the present disclosure.

[0071] Figure 3 It is a schematic diagram of a path loss estimation principle in an embodiment of the present disclosure.

[0072] Figure 4 It is a road loss prediction performance comparison diagram in an embodiment of the present disclosure.

[0073] Figure 5 It is a structural block diagram of a device for selecting a communication link in an embodiment of the present disclosure.

[0074] Figure 6 It is a structural schematic diagram of an electronic device in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0075] The technical solution of the present disclosure will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described implementation is a part of the implementation of the present disclosure, rather than all the implementations. Based on the implementation in the present disclosure, all other implementations obtained by ordinary technicians in the field without creative work are within the scope of protection of the present disclosure. In addition, the technical features involved in the different implementations of the present disclosure described below can be combined with each other as long as they do not conflict with each other.

[0076] In the related method, a random selection method is usually adopted to select the communication link, and then the dielectric constant parameters are estimated. However, in this way, the estimation performance of the dielectric constant parameters may be poor. Therefore, how to optimize the selection of the communication link used to measure the data for the estimation of the dielectric constant parameters is a problem that needs to be solved.

[0077] Based on the defects of the above-mentioned related technologies, the embodiments of the present disclosure provide a method, device, equipment, storage medium and product for selecting a communication link, aiming to optimize the selection of a communication link for measuring data.

[0078] A method for selecting a communication link is provided in an embodiment of the present disclosure. The method can be applied to electronic devices. The present disclosure does not limit the type of electronic device. The electronic device can be any type of device suitable for implementation, such as a terminal device and a server, etc. The present disclosure will not elaborate on this.

[0079] See also Figure 1 As shown, it is a top view of a target measurement environment. Figure 1In the target communication environment, signal sending equipment, signal receiving equipment and buildings (i.e., environmental objects) are included. Each surface of the building has a corresponding dielectric constant parameter. Taking the case where both the signal sending equipment and the signal receiving equipment are ground equipment (GE), GE is marked with a solid five-pointed star, and the height of each building is marked on the top of the building in meters. There can be one or more signal sending equipment and one or more signal receiving equipment. The communication link is less affected by the dielectric constant parameters of the building surfaces farther away from them. Therefore, the simulation scene selects a 150m×150m urban scene in size, with a total of 7 buildings, and their heights are all between 15m and 40m. Considering the electromagnetic characteristics of different surfaces of the same building and the limited precision of environmental geometry modeling, it is assumed that each building surface is characterized by an equivalent relative dielectric constant parameter.

[0080] A method for selecting a communication link in an embodiment of the present disclosure is applied to select at least one communication link from a link measurement set of a target communication environment as a target communication link for path loss measurement; each communication link includes a signal sending device and a signal receiving device; the target communication environment also includes a link estimation set, and the method includes:

[0081] The link parameters of each communication link in the target communication environment and the physical environment information of the target communication environment are obtained, wherein the physical environment information includes a plurality of dielectric constant parameters; for each communication link in the link measurement set, based on the link parameters of the communication link and the physical environment information, a first path loss expression corresponding to the communication link is constructed; for each communication link in the link estimation set, based on the link parameters of the communication link and the physical environment information, a second path loss expression corresponding to the communication link is constructed; based on the first path loss expression and the second path loss expression, an optimal solution of the objective function of operations research optimization is solved to determine the target communication link; wherein the optimal solution is a subset of communication links selected from the link measurement set, each communication link in the communication link subset is used as the target communication link, and the optimal solution minimizes the total estimation error of the second path loss of the link estimation set based on the first path loss of the target communication link.

[0082] The link parameters include: a first antenna gain of a signal sending device, a second antenna gain of a signal receiving device, and a transmission power.

[0083] Combine the following Figure 1 and Figure 2 For a detailed description of the above method, see Figure 2 FIG. 1 is a flow chart of a method for selecting a communication link in an embodiment of the present disclosure. The specific implementation process of the method is as follows:

[0084] Step 201: Acquire the first antenna gain of each signal sending device in the target communication environment, the second antenna gain of each signal receiving device, and the physical environment information of the target communication environment; the physical environment information includes a plurality of dielectric constant parameters.

[0085] Among them, the physical environment information includes: the environment geometry modeling Benv of the target communication environment, the ray interaction information of each communication link; the environment geometry modeling represents the location (e.g., geographic location) and shape (e.g., building shape) of the environmental objects in the target communication environment; the ray interaction information includes the coordinates of the interaction points and the interaction types between the multiple rays of the communication link and the target communication environment, which refers to the geometric information χ of the interaction between the ray and the environment in ray tracing. Each signal sending device and each signal receiving device constitute a path loss measurement system, and the location of each device in the system can be set according to the actual application scenario, which is not limited here.

[0086] Step 202: Divide the communication links corresponding to each device combination into a link measurement set and a link estimation set; the device combination includes a signal sending device and a signal receiving device.

[0087] The link measurement set and the link estimation set each contain at least one communication link.

[0088] The link measurement set is a set of communication links that can be measured, and the link estimation set is a set of communication links that need to be predicted.

[0089] Step 203: construct a first path loss expression for determining the corresponding first path loss according to the first antenna gain, the second antenna gain, the transmit power, and the physical environment information corresponding to each communication link in the link measurement set.

[0090] Optionally, the path loss can be a reference signal received power (RSRP). In practical applications, the path loss can also be measured by other parameters, which are not limited here. The reference signal received power of each communication link is positively correlated with the corresponding first antenna gain, second antenna gain, transmit power, and path energy gain; the path energy gain is determined based on the environment geometry modeling, the device positions of the signal sending device and the signal receiving device, the ray interaction information, and the dielectric constant parameters.

[0091] In one implementation, the first path loss expression may be:

[0092]

[0093] Where i represents the serial number of the communication link in the link measurement set, Ri represents the first path loss of communication link i, represents the RSRP estimate of communication link i in the decibel (dB) domain, P i represents the transmission power of communication link i, G tx,i and G rx,i are the first antenna gain of the signal sending device and the second antenna gain of the signal receiving device corresponding to the communication link i, respectively, l,i represents the path energy gain of communication link i in decibels (db), which is the superposition of different ray energies. j is the ray number, J is the total number of rays of communication link i, v i is the device location of the signal sending device corresponding to communication link i, u i is the device position of the signal receiving device corresponding to communication link i, λ represents the carrier wavelength, Represents physical environment information, w i Represents the Gaussian error between the reference signal received power and the actual reference signal received power of communication link i.

[0094] Among them, w i The variance is The normal distribution of The error may come from various sources, such as measurement errors caused by the signal transmitting device and the signal receiving device, disturbances in the measurement environment, and multipath components that are not taken into account. The Gaussian error is considered as the average RSRP of the RSRPs of multiple communication links measured, rather than the error of a single RSRP.

[0095] In the embodiment of the present application, since the average received power is considered in each communication link, and the phase of the multipath mainly affects the small-scale channel state rather than the average received power, when calculating the reference signal received power of the communication link, it is approximately considered that the impact of the multipath component on the path loss is the superposition of the energy of these rays. Environmental geometric modeling and ray interaction information are used to determine the multipath information of different communication links in order to calculate g l,i The dielectric constant parameter is a parameter that needs to be estimated through path loss. Environmental geometry modeling, ray interaction information, and dielectric constant parameters affect the reflection and diffraction of rays.

[0096] In the function g l,i In the ray calculation involved in , three basic rays under the vertical polarization of the antenna are considered: direct rays, reflected rays and diffracted rays. It should be noted that g l,iIt also includes rays that interact with the environment multiple times, such as those that experience multiple reflections or are diffracted and reflected simultaneously. Note that the multipath information and g of ray tracing can be obtained offline by modeling the environment geometry. l,i Explicit calculation formula for .

[0097] Step 204: construct a second path loss expression for determining a corresponding second path loss according to the first antenna gain, the second antenna gain, the transmit power, and the physical environment information corresponding to each communication link in the link estimation set.

[0098] Among them, the second path loss expression can be constructed based on a principle similar to the first path loss expression, which will not be elaborated here.

[0099] Step 205: Solve the objective function according to the first path loss expression corresponding to at least one communication link in the link measurement set and the second path loss expression corresponding to at least one communication link in the link estimation set to obtain the optimal solution of the objective function.

[0100] In the present disclosure, in combination Figure 3 , the principle of estimating the path loss of the communication links in the link estimation set based on the communication links in the link measurement set is described. Figure 3 FIG. 1 is a schematic diagram of a path loss estimation principle.

[0101] Figure 3 In the embodiment, one or more communication links are selected from the link measurement set on the left to construct a communication link subset, and each dielectric constant parameter is used as a medium. Based on the first path loss of each communication link in the communication link subset, the path loss of the communication links in the link estimation set is estimated, and then the total estimation error of the path loss of the link estimation set can be determined.

[0102] Optionally, the objective function can be:

[0103]

[0104] Optimal solution Can be:

[0105]

[0106] Where H represents the total estimation error, represents the expectation function, i represents the serial number of the communication link in the link measurement set, R i represents the first path loss of communication link i, k represents the sequence number of the communication link in the link estimation set, and A krepresents the second path loss of communication link k, C represents the second path loss set corresponding to the link estimation set, V represents the communication link subset variable, h i→k is a single sample mutual prediction function, which means that the dielectric constant parameter is used as the medium, based on R i Estimation A k The estimation error.

[0107] The estimated error can be Cramer-Rao Bound (CRLB) variance, the optimal single sample mutual prediction function The physical meaning is based on the communication link subset A k The expected CRLB is the smallest. The physical meaning of the objective function is: optimize the communication link subset so that the optimal single-sample mutual prediction function of the path loss of each communication link in the link estimation set is The sum of expected CRLB is the smallest.

[0108] In this way, by calculating the single sample mutual prediction function h i→k , the optimal subset of communication links can be solved, which can greatly simplify the computational complexity of the solution algorithm.

[0109] Optionally, the constraint conditions may include: the value range of each dielectric constant parameter is a set of set parameter values; and the number of communication links in the communication link subset is not higher than a number threshold.

[0110] In one implementation, the constraints of the objective function can be expressed as:

[0111]

[0112] Where T represents the quantity threshold, which is a positive integer, such as 5. represents the link measurement set, N is the total number of communication links in the link measurement set. m is the serial number of the dielectric constant parameter, ∈ m represents the mth dielectric constant parameter, m and M are positive integers, M is the total number of dielectric constant parameters, Represents ∈ m The corresponding set of setting parameter values. In actual applications, the quantity threshold can be set according to the actual application scenario and is not limited here.

[0113] Among them, the single sample mutual prediction function h i→k According to R i The Jacobian matrix of k The Jacobian matrix of is determined.

[0114] R i The Jacobian matrix of is:

[0115]

[0116] A k The Jacobian matrix of is:

[0117]

[0118] The physical meaning of the single sample mutual prediction function is based on the dielectric constant parameter. i Estimation A k The CRLB composite function form can be expressed as follows:

[0119]

[0120] Furthermore, in order to prevent There is no inverse matrix when the dielectric constant parameter is far beyond the measured data, that is, In the case of singularity itself, we can also add a unit matrix whose diagonal elements tend to zero to ensure that it is positive definite and reversible. Therefore, the single sample mutual prediction function can also use the following formula:

[0121]

[0122] Where D is the M*M unit matrix and c is the coefficient.

[0123] Because h i→k as well as There is no closed-form solution, so the N-Rooks sampling method in Monte Carlo integration can be used to approximate Points:

[0124]

[0125] Among them, p() represents the probability function, b m represents the upper bound of the error, a m represents the lower bound of the error, q represents the numerical sequence number in the set of set parameter values, and Q represents the total number of numerical values ​​in the set of set parameter values.

[0126] Step 206: Determine a communication link in the communication link subset as a target communication link for path loss measurement.

[0127] Furthermore, after T target communication links are selected, path loss measurement can be performed through each target communication link in an actual measurement scenario to obtain a path loss measurement value of each target communication link, and based on each path loss measurement value, the value of each dielectric constant parameter, that is, the dielectric constant parameter value, can also be called a dielectric constant, can be determined.

[0128] Furthermore, assuming that the total number of communication links in the target communication environment is sum (eg, 1837), the path loss estimates of other communication links (ie, sum-T communication links) in the target communication environment can also be calculated based on the dielectric constant parameter values.

[0129] Furthermore, the path loss measurement (i.e., path loss measurement) can be used to obtain the path loss measurement values ​​of other communication links in the target communication environment, and the path loss prediction errors can be determined based on the path loss estimation values ​​and their corresponding path loss measurement values, thereby determining the average path loss prediction error, which can also be called the mean absolute error (MAE) of the path loss prediction.

[0130] Combine the following Figure 4 , the path loss prediction performance of the communication links selected based on various methods is compared and explained. Refer to Figure 4, which is a comparison chart of path loss prediction performance. Figure 4 The horizontal axis is the number T of communication links selected for measurement, and the vertical axis is the average path loss prediction error, that is, the path loss prediction performance.

[0131] In traditional methods, a random selection strategy is usually adopted to select communication links for path loss measurement, and then calibrate the dielectric constant parameters. Based on the dielectric constant parameter values ​​obtained by calibration, the path loss is estimated multiple times (e.g., 10 times) to determine the average path loss prediction error.

[0132] Depend on Figure 4 It can be seen that after calibrating the dielectric constant parameter value by the method provided in the embodiment of the present disclosure, the average road loss prediction error predicted based on the dielectric constant parameter value has a relative upper limit of 4.88 dB, which is the road loss prediction error predicted based on the dielectric constant of all concrete settings, and a relative lower limit of 3.275 dB, which is the road loss prediction error predicted after applying all (e.g., 1837) road loss data to calibrate the dielectric constant parameter. The road loss prediction performance of the method provided in the embodiment of the present disclosure is much better than the road loss prediction performance of the method of random selection strategy.

[0133] Furthermore, when T≤5, the path loss prediction errors of the two are not much different. When T is larger, the method of the embodiment of the present disclosure has a more obvious performance advantage than the random selection strategy, and at the same time approaches the lower bound of the relative error. However, when the random selection strategy is used, the speed at which the path loss prediction error decreases is significantly slower as T increases. The path loss of 40 communication links is selected and measured, and the measurement overhead is 4 times that of the path loss of 10 communication links selected and measured in the method of the embodiment of the present disclosure. However, its path loss prediction performance is not as good as the path loss prediction performance of the method of the embodiment of the present disclosure.

[0134] Based on the same inventive concept, a device for selecting a communication link is also provided in the embodiment of the present disclosure. Since the principle of solving the problem by the above-mentioned device and equipment is similar to that of a method for selecting a communication link, the implementation of the above-mentioned device can refer to the implementation of the method, and the repeated parts will not be repeated. The device can be applied to electronic devices. The present disclosure does not limit the type of electronic devices. It can be any type of device suitable for implementation, such as terminal devices and servers, etc. The present disclosure will not repeat them. The device embodiment can be implemented by software, or by hardware or a combination of software and hardware. Taking software implementation as an example, as a device in a logical sense, it is formed by the processor of the electronic device in which it is located reading the corresponding computer program instructions in the non-volatile memory into the internal memory for execution.

[0135] See also Figure 5 , which is a structural block diagram of a communication link selection device in an embodiment of the present disclosure. In some embodiments, the communication link selection device of the present disclosure example is used to select at least one communication link from a link measurement set of a target communication environment as a target communication link for path loss measurement; each communication link includes a signal sending device and a signal receiving device; the target communication environment also includes a link estimation set; including:

[0136] An acquisition unit 501 is used to acquire link parameters of each communication link in a target communication environment and physical environment information of the target communication environment, where the physical environment information includes a plurality of dielectric constant parameters;

[0137] A first constructing unit 502 is configured to construct, for each communication link in the link measurement set, a first path loss expression corresponding to the communication link based on the link parameters of the communication link and the physical environment information;

[0138] A second constructing unit 503 is used to construct a second path loss expression corresponding to each communication link in the link estimation set based on the link parameters of the communication link and the physical environment information;

[0139] The determination unit 504 is used to solve the optimal solution of the objective function of the operations optimization based on the first path loss expression and the second path loss expression, and determine the target communication link; wherein the optimal solution is a subset of communication links selected from the link measurement set, each communication link in the communication link subset is used as the target communication link, and the optimal solution minimizes the total estimation error of the second path loss of the link estimation set based on the first path loss of the target communication link.

[0140] In one embodiment, the physical environment information further includes: environmental geometry modeling of the target communication environment, ray interaction information of each communication link;

[0141] Environmental geometry modeling represents the location and shape of environmental objects in the target communication environment;

[0142] The ray interaction information includes the coordinates of the interaction points between the multiple rays of the communication link and the target communication environment and the interaction types.

[0143] In one implementation, the first path loss and the second path loss are both reference signal received power; the link parameters include: a first antenna gain of a signal transmitting device, a second antenna gain of a signal receiving device, and a transmit power;

[0144] The reference signal receiving power of each communication link is positively correlated with the corresponding first antenna gain, second antenna gain, transmit power, and path energy gain;

[0145] The path energy gain is determined based on the environment geometry modeling, the device locations of the signal sending device and the signal receiving device, the ray interaction information, and the various dielectric constant parameters.

[0146] In one implementation, the objective function is:

[0147]

[0148] Optimal solution for:

[0149]

[0150] Where H represents the total estimation error, represents the expectation function, i represents the serial number of the communication link in the link measurement set, R i represents the first path loss through the communication link i, k represents the sequence number of the communication link in the link estimation set, A k represents the second path loss of communication link k, C represents the second path loss set corresponding to the link estimation set, v represents the communication link subset variable, h i→k is a single sample mutual prediction function, which means that each dielectric constant parameter is used as a medium, based on R i Estimation A k The estimation error.

[0151] In one implementation, the single sample mutual prediction function h i→k According to R i The Jacobian matrix of k The Jacobian matrix is ​​determined by;

[0152] R i The Jacobian matrix of is:

[0153]

[0154] A k The Jacobian matrix of is:

[0155]

[0156] Where m is the serial number of the dielectric constant parameter, ∈ m represents the mth dielectric constant parameter, where m and M are positive integers and M is the total number of dielectric constant parameters.

[0157] In one implementation, the single sample mutual prediction function is:

[0158]

[0159] Where D is the M*M unit matrix and c is the coefficient.

[0160] In one implementation, the objective function has constraints, which include:

[0161] The value range of each dielectric constant parameter is a set of set parameter values;

[0162] The number of communication links in the communication link subset is not greater than a number threshold.

[0163] The method for selecting a communication link in an embodiment of the present disclosure includes obtaining link parameters of each communication link in a target communication environment and physical environment information of the target communication environment, wherein the physical environment information includes multiple dielectric constant parameters; for each communication link in a link measurement set, based on the link parameters of the communication link and the physical environment information, constructing a first path loss expression corresponding to the communication link; for each communication link in a link estimation set, based on the link parameters of the communication link and the physical environment information, constructing a second path loss expression corresponding to the communication link; based on the first path loss expression and the second path loss expression, solving the optimal solution of the objective function of operations optimization to determine the target communication link; wherein the optimal solution is a subset of communication links selected from the link measurement set, each communication link in the subset of communication links is used as the target communication link, and the optimal solution minimizes the total estimated error of the second path loss of the link estimation set based on the first path loss of the target communication link. In this way, the selection of the communication link used for measuring data can be optimized for the estimation of the dielectric constant parameters.

[0164] In an embodiment of the present disclosure, an electronic device is also provided, including:

[0165] Processor; and

[0166] The memory stores computer instructions, where the computer instructions are used to enable the processor to execute the method of any of the above embodiments.

[0167] In an embodiment of the present disclosure, a computer-readable storage medium is provided, which stores computer instructions, and the computer instructions are used to enable a computer to execute a method in any of the above-mentioned embodiments.

[0168] The embodiments of the present disclosure also provide a computer program product, including a computer-readable code, or a non-volatile computer-readable storage medium carrying the computer-readable code. When the computer-readable code runs in a processor of an electronic device, the processor in the electronic device implements any of the above-mentioned embodiments of the method.

[0169] Figure 6 FIG. 6 is a schematic diagram showing the structure of an electronic device 6000. Figure 6 As shown, the electronic device 6000 includes: a processor 6010 and a memory 6020, and optionally, may also include a power supply 6030, a display unit 6040, and an input unit 6050.

[0170] The processor 6010 is the control center of the electronic device 6000. It connects various components using various interfaces and lines, and performs various functions of the electronic device 6000 by running or executing software programs and / or data stored in the memory 6020, thereby monitoring the electronic device 6000 as a whole.

[0171] In the embodiment of the present disclosure, the processor 6010 executes the various steps in the above embodiment when calling the computer program stored in the memory 6020.

[0172] Optionally, the processor 6010 may include one or more processing units; preferably, the processor 6010 may integrate an application processor and a modem processor, wherein the application processor mainly processes an operating system, a user interface, and applications, and the modem processor mainly processes wireless communications. It is understandable that the modem processor may not be integrated into the processor 6010. In some embodiments, the processor and the memory may be implemented on a single chip, and in some embodiments, they may also be implemented separately on separate chips.

[0173] The memory 6020 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, various applications, etc.; the data storage area may store data created according to the use of the electronic device 6000, etc. In addition, the memory 6020 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices, etc.

[0174] The electronic device 6000 also includes a power source 6030 (such as a battery) for supplying power to various components. The power source can be logically connected to the processor 6010 through a power management system, thereby managing functions such as charging, discharging, and power consumption through the power management system.

[0175] The display unit 6040 may be used to display information input by the user or information provided to the user and various menus of the electronic device 6000, and in the embodiment of the present disclosure, is mainly used to display the display interface of each application in the electronic device 6000 and objects such as text and pictures displayed in the display interface. The display unit 6040 may include a display panel 6041. The display panel 6041 may be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), or the like.

[0176] The input unit 6050 may be used to receive information such as numbers or characters input by the user. The input unit 6050 may include a touch panel 6051 and other input devices 6052. The touch panel 6051, also known as a touch screen, may collect touch operations of the user on or near it (such as operations of the user using a finger, a stylus, or any other suitable object or accessory on or near the touch panel 6051).

[0177] Specifically, the touch panel 6051 can detect the user's touch operation, detect the signal brought by the touch operation, convert these signals into touch point coordinates, send them to the processor 6010, and receive and execute the command sent by the processor 6010. In addition, the touch panel 6051 can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. Other input devices 6052 can include but are not limited to one or more of a physical keyboard, function keys (such as volume control keys, power on / off keys, etc.), a trackball, a mouse, a joystick, etc.

[0178] Of course, the touch panel 6051 can cover the display panel 6041. When the touch panel 6051 detects a touch operation on or near it, it is transmitted to the processor 6010 to determine the type of touch event. Then the processor 6010 provides corresponding visual output on the display panel 6041 according to the type of touch event. Figure 6 In the embodiment, the touch panel 6051 and the display panel 6041 are used as two independent components to realize the input and output functions of the electronic device 6000, but in some embodiments, the touch panel 6051 and the display panel 6041 can be integrated to realize the input and output functions of the electronic device 6000.

[0179] The electronic device 6000 may also include one or more sensors, such as a pressure sensor, a gravity acceleration sensor, a proximity light sensor, etc. Of course, according to the needs of specific applications, the electronic device 6000 may also include other components such as a camera. Since these components are not the key components used in the embodiments of the present disclosure, Figure 6 It is not shown and will not be described in detail.

[0180] Those skilled in the art will understand that Figure 6 The electronic device is merely an example and does not limit the electronic device, and may include more or less components than those shown in the figure, or may combine certain components, or may include different components.

[0181] For the convenience of description, the above parts are divided into modules (or units) according to their functions and described separately. Of course, when implementing the present disclosure, the functions of each module (or unit) can be implemented in the same or multiple software or hardware.

Claims

1. A method for selecting a communication link, characterized in that: The method is applied to select at least one communication link from a link measurement set of a target communication environment as a target communication link for path loss measurement; Each communication link includes a signal sending device and a signal receiving device; The target communication environment also includes a link estimation set; The method comprises: Acquire link parameters of each communication link in the target communication environment and physical environment information of the target communication environment, wherein the physical environment information includes a plurality of dielectric constant parameters; For each communication link in the link measurement set, based on the link parameters of the communication link and the physical environment information, construct a first path loss expression corresponding to the communication link; For each communication link in the link estimation set, based on the link parameters of the communication link and the physical environment information, construct a second path loss expression corresponding to the communication link; Based on the first path loss expression and the second path loss expression, an optimal solution of the objective function of operations research optimization is solved to determine the target communication link; wherein the optimal solution is a subset of communication links screened out from the link measurement set, each communication link in the communication link subset is used as a target communication link, and the optimal solution minimizes a total estimation error of a second path loss of the link estimation set based on the first path loss of the target communication link.

2. The method according to claim 1, characterized in that The physical environment information also includes: environmental geometry modeling of the target communication environment, and ray interaction information of each communication link; The environmental geometric modeling represents the position and shape of environmental objects in the target communication environment; The ray interaction information includes the coordinates of interaction points and interaction types between the multiple rays of the communication link and the target communication environment respectively.

3. The method according to claim 2, characterized in that The first path loss and the second path loss are both reference signal received power; the link parameters include: a first antenna gain of a signal sending device, a second antenna gain of a signal receiving device, and a transmission power; The reference signal receiving power of each communication link is positively correlated with the corresponding first antenna gain, second antenna gain, the transmit power, and path energy gain; The path energy gain is determined based on the environment geometry modeling, the device positions of the signal sending device and the signal receiving device, ray interaction information, and various dielectric constant parameters.

4. The method according to claim 3, characterized in that The objective function is: The optimal solution for: Where H represents the total estimation error, represents the expectation function, i represents the serial number of the communication link in the link measurement set, R i represents the first path loss through the communication link i, k represents the sequence number of the communication link in the link estimation set, A k represents the second path loss of the communication link k, C represents the second path loss set corresponding to the link estimation set, v represents the communication link subset variable, h i→k is a single sample mutual prediction function, which means that each dielectric constant parameter is used as a medium, based on R i Estimation A k The estimation error.

5. The method according to claim 4, characterized in that The single sample mutual prediction function h i→k According to R i The Jacobian matrix of k The Jacobian matrix is ​​determined by; R i The Jacobian matrix of is: A k The Jacobian matrix of is: Where m is the serial number of the dielectric constant parameter, ∈ m represents the mth dielectric constant parameter, where m and M are positive integers and M is the total number of dielectric constant parameters.

6. The method according to claim 5, characterized in that The single sample mutual prediction function is: Where D is the M*M unit matrix and c is the coefficient.

7. The method according to any one of claims 1 to 6, characterized in that: The objective function has constraints, which include: The value range of each dielectric constant parameter is a set of set parameter values; The number of communication links in the communication link subset is not higher than a number threshold.

8. A device for selecting a communication link, characterized in that: The device is used to select at least one communication link from a link measurement set of a target communication environment as a target communication link for path loss measurement; Each communication link includes a signal sending device and a signal receiving device; The target communication environment also includes a link estimation set; The device comprises: an acquisition unit, configured to acquire link parameters of each communication link in the target communication environment and physical environment information of the target communication environment, wherein the physical environment information includes a plurality of dielectric constant parameters; A first constructing unit is configured to construct, for each communication link in the link measurement set, a first path loss expression corresponding to the communication link based on a link parameter of the communication link and the physical environment information; A second construction unit is used to construct, for each communication link in the link estimation set, a second path loss expression corresponding to the communication link based on the link parameters of the communication link and the physical environment information; A determination unit is used to solve the optimal solution of the objective function of operations optimization based on the first path loss expression and the second path loss expression, and determine the target communication link; wherein the optimal solution is a subset of communication links screened out from the link measurement set, each communication link of the communication link subset is used as the target communication link, and the optimal solution minimizes the total estimation error of the second path loss of the link estimation set estimated based on the first path loss of the target communication link.

9. An electronic device, characterized in that: include: processor; as well as A memory storing computer instructions, wherein the computer instructions are used to enable the processor to execute the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: Computer instructions are stored, and the computer instructions are used to make a computer execute the method according to any one of claims 1 to 7.

11. A computer program product, characterized in that The invention comprises a computer-readable code, or a non-volatile computer-readable storage medium carrying the computer-readable code. When the computer-readable code is executed in a processor of an electronic device, the processor in the electronic device performs the method according to any one of claims 1 to 7.

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