Signal transmission method and device and related equipment

Abstract

The invention provides a signal transmission method and device and related equipment, and particularly relates to the technical field of 5G mobile communication, and when the method is applied to a receiving node in a self-organizing network, the method comprises the following steps: feeding back the expected spectrum efficiency of a signal to be transmitted to a corresponding sending node, the sending node being a node in the self-organizing network; and respectively configuring an AGC gain and a demodulation threshold corresponding to the expected spectrum efficiency in a mapping table as an initial AGC gain and an initial demodulation threshold power for receiving the signal to be transmitted, the mapping table being used for representing a corresponding relationship among the spectrum efficiency, the demodulation threshold power and the AGC gain. The sending power of the signal to be transmitted is determined according to the demodulation threshold power corresponding to the expected spectrum efficiency in the mapping table, and the same mapping table is adopted by the receiving node and the sending node. The power control complexity of each node in the self-organizing network is simplified by constructing the mapping table, and the communication cost of the self-organizing network is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of 5G mobile communications, and specifically to a signal transmission method, apparatus and related equipment. Background Art

[0002] In 5G mobile communication technology, self-organizing networks have received widespread attention due to their adaptability and decentralization.

[0003] At present, in the self-organizing network communication scheme designed by related technologies, the power control of multiple nodes in the self-organizing network is carried out independently, which requires the self-organizing network to maintain a set of power control parameters for each node in the network. Before different nodes transmit signals, more resources are required to interact with the corresponding power control parameters, which increases the communication cost between different nodes in the self-organizing network. Summary of the invention

[0004] The purpose of the present application is to provide a signal transmission method, apparatus and related equipment, which are used to solve the technical problem of high communication cost in the power control scheme of the self-organizing network provided by the related technology.

[0005] In a first aspect, an embodiment of the present application provides a signal transmission method, which is applied to a receiving node, where the receiving node is a node in a self-organizing network, and the method includes:

[0006] Feedback the expected spectrum efficiency of the to-be-transmitted signal to a corresponding sending node, wherein the sending node is a node in the self-organizing network;

[0007] The AGC gain corresponding to the expected spectrum efficiency in the mapping table is configured as the initial AGC gain for receiving the signal to be transmitted, and the demodulation threshold power corresponding to the expected spectrum efficiency in the mapping table is configured as the initial demodulation threshold power for receiving the signal to be transmitted, wherein the mapping table is used to characterize the correspondence between spectrum efficiency, demodulation threshold power and AGC gain, the transmission power of the signal to be transmitted is determined according to the demodulation threshold power corresponding to the expected spectrum efficiency in the mapping table, and the receiving node and the sending node use the same mapping table.

[0008] In a second aspect, an embodiment of the present application provides a signal transmission method, which is applied to a sending node, where the sending node is a node in a self-organizing network, and the method includes:

[0009] receiving an expected spectrum efficiency of a signal to be transmitted fed back by a corresponding receiving node, wherein the receiving node is a node in the self-organizing network;

[0010] The transmission power of the signal to be transmitted is configured according to the demodulation threshold power corresponding to the expected spectrum efficiency in the mapping table, wherein the mapping table is used to characterize the correspondence between spectrum efficiency and demodulation threshold power, and the sending node and the receiving node use the same mapping table.

[0011] In a third aspect, an embodiment of the present application provides a signal transmission device, which is applied to a receiving node, where the receiving node is a node in a self-organizing network, and the device includes:

[0012] An expected sending module, used to feed back an expected spectrum efficiency of a signal to be transmitted to a corresponding sending node, wherein the sending node is a node in the self-organizing network;

[0013] A receiving configuration module, used to configure the AGC gain corresponding to the expected spectrum efficiency in the mapping table as the initial AGC gain for receiving the signal to be transmitted, and to configure the demodulation threshold power corresponding to the expected spectrum efficiency in the mapping table as the initial demodulation threshold power for receiving the signal to be transmitted, wherein the mapping table is used to characterize the correspondence between spectrum efficiency, demodulation threshold power and AGC gain, the transmission power of the signal to be transmitted is determined according to the demodulation threshold power corresponding to the expected spectrum efficiency in the mapping table, and the receiving node and the sending node use the same mapping table.

[0014] In a fourth aspect, an embodiment of the present application provides a signal transmission device, which is applied to a sending node, where the sending node is a node in a self-organizing network, and the device includes:

[0015] An expected receiving module, used to receive an expected spectrum efficiency of a signal to be transmitted fed back by a corresponding receiving node, wherein the receiving node is a node in the self-organizing network;

[0016] A sending configuration module is used to configure the sending power of the signal to be transmitted according to the demodulation threshold power corresponding to the expected spectrum efficiency in the mapping table, wherein the mapping table is used to characterize the correspondence between spectrum efficiency and demodulation threshold power, and the sending node and the receiving node use the same mapping table.

[0017] In a fifth aspect, the present application provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the method described in the first aspect or the second aspect.

[0018] In a sixth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the method described in the first aspect or the second aspect are implemented.

[0019] In a seventh aspect, the present application provides a computer program product, comprising computer instructions, which, when executed by a processor, implement the steps of the method described in the first aspect or the second aspect.

[0020] In the present application, simplified management of the power control parameters of each node in the self-organizing network is achieved by pre-constructing a mapping table of spectrum efficiency-demodulation threshold-AGC gain, thereby replacing the solution of maintaining a set of power control parameters for each node in the related technology, reducing the amount of data of the power control parameters to be maintained in the self-organizing network as a whole, and reducing the complexity and implementation cost of power control for each node in the self-organizing network, thereby reducing the communication cost between different nodes in the self-organizing network. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a flowchart of a signal transmission method provided in an embodiment of the present application;

[0022] Figure 2 is a flow chart of another signal transmission method provided in an embodiment of the present application;

[0023] Figure 3 is a structural schematic diagram of a signal transmission device provided in an embodiment of the present application;

[0024] Figure 4 is a structural schematic diagram of another signal transmission device provided in an embodiment of the present application;

[0025] Figure 5 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0027] See also Figure 1 , the present application embodiment provides a signal transmission method, such as Figure 1 As shown, the signal transmission method is applied to a receiving node, the receiving node is a node in a self-organizing network, and the method includes:

[0028] Step 101: Feedback the expected spectrum efficiency of the to-be-transmitted signal to a corresponding sending node, where the sending node is a node in the self-organizing network.

[0029] In this application, a self-organizing network can be understood as a wireless self-organizing network implemented based on the 5G NR standard, which includes multiple nodes, each of which can be represented as a 5G NR device.

[0030] The aforementioned receiving node can be understood as a node of a signal receiving side device among multiple nodes included in the self-organizing network. Similarly, the aforementioned sending node can be understood as a node of a signal sending side device among multiple nodes included in the self-organizing network.

[0031] Among the multiple nodes included in the self-organizing network, there is at least one target node that has both signal sending function and signal receiving function, that is, the target node can be used as both a signal receiving side device and a signal receiving side device, wherein the number of the target nodes is less than or equal to the total number of nodes in the self-organizing network.

[0032] The receiving node may send the expected spectrum efficiency in the form of broadcasting. In this case, the corresponding sending node may be understood as a node in the self-organizing network that can successfully receive the expected spectrum efficiency broadcast by the receiving node and has a signal sending function.

[0033] The receiving node may also transmit with the desired spectrum efficiency in unicast form. In this case, the corresponding sending node may be understood as a node in the self-organizing network that has established a communication relationship with the receiving node based on a relevant communication protocol and has a signal sending function.

[0034] In one example, the spectrum efficiency of the received signal expected by the receiving node is dynamically calculated based on spectrum efficiency impact information, wherein the spectrum efficiency impact information may include the distance between the receiving node and the corresponding sending node, the network environment in which the self-organizing network is located, etc.

[0035] Step 102: configure the AGC gain corresponding to the expected spectrum efficiency in the mapping table as the initial AGC gain for receiving the signal to be transmitted, and configure the demodulation threshold power corresponding to the expected spectrum efficiency in the mapping table as the initial demodulation threshold power for receiving the signal to be transmitted.

[0036] Among them, the mapping table is used to characterize the correspondence between spectrum efficiency, demodulation threshold power and AGC gain. The transmission power of the signal to be transmitted is determined according to the demodulation threshold power corresponding to the expected spectrum efficiency in the mapping table, and the receiving node and the sending node use the same mapping table.

[0037] The mapping table is obtained through experimental simulation, and the process of building the table can be found in the subsequent description.

[0038] In one example, the mapping table includes multiple groups of mapping data, each group of mapping data includes a spectrum efficiency and a demodulation threshold power and an automatic gain control (AGC) gain corresponding to the spectrum efficiency, and different groups of mapping data include different spectrum efficiencies.

[0039] In another example, the mapping table includes multiple groups of mapping data, each group of mapping data includes a spectral efficiency interval and a demodulation threshold power and AGC gain corresponding to the spectral efficiency interval, different groups of mapping data include different spectral efficiency intervals, and the multiple spectral efficiency intervals included in the multiple groups of mapping data are continuous, and the interval length indicated by each spectral efficiency interval in the multiple spectral efficiency intervals remains consistent (the specific numerical value of the interval length can be adaptively adjusted according to actual needs, and is not limited in this application), and the minimum value of the mixed interval range jointly indicated by the multiple spectral efficiency intervals can be the minimum spectral efficiency supported by the 5G NR device, and the maximum value can be the maximum spectral efficiency supported by the 5G NR device. In the application, the multiple spectral efficiency intervals can be determined according to the interval range indicated by the modulation and coding scheme (MCS) table. The setting based on the spectral efficiency interval can reduce the amount of data to be stored in the mapping table, thereby reducing the amount of data of the power control parameters to be maintained in the self-organizing network as a whole.

[0040] In the present application, simplified management of the power control parameters of each node in the self-organizing network is achieved by pre-constructing a mapping table of spectrum efficiency-demodulation threshold-AGC gain, thereby replacing the solution of maintaining a set of power control parameters for each node in the related technology, reducing the amount of data of the power control parameters to be maintained in the self-organizing network as a whole, and reducing the complexity and implementation cost of power control for each node in the self-organizing network, thereby reducing the communication cost between different nodes in the self-organizing network.

[0041] In one embodiment, the demodulation threshold power corresponding to the spectrum efficiency is determined according to a reference noise floor, a design margin, and a signal-to-noise ratio corresponding to the spectrum efficiency, wherein the reference noise floor is a noise floor corresponding to a set subcarrier spacing, and the signal-to-noise ratio corresponding to the spectrum efficiency is determined according to simulation data corresponding to the spectrum efficiency;

[0042] and / or,

[0043] The receiving node also feeds back a reference path loss to the sending node, wherein the reference path loss is used to characterize the path loss between the receiving node and the sending node, and the transmission power of the signal to be transmitted is determined according to the demodulation threshold power corresponding to the expected spectrum efficiency and the reference path loss.

[0044] In this embodiment, the reference background noise is introduced to correspond to the noise interference in the actual application environment, so as to ensure the accuracy of the calculated demodulation threshold power, and the setting of the design margin can provide an adjustment margin for the calculation of the demodulation threshold power to adapt to different application requirements in different environments, thereby enhancing the application flexibility of the method described in this application.

[0045] For example, if k=0, 1, ..., K-1 is set to refer to the aforementioned multiple spectrum efficiencies, then the signal-to-noise ratio of the demodulation threshold power corresponding to each spectrum efficiency in the mapping table can be expressed as: th [k] (unit: dB), in this example, the signal-to-noise ratio is determined according to the performance point of the block error rate in a set error interval, and the set error interval may be 5%-10%.

[0046] Among them, the smaller the value of k is, the corresponding spectral efficiency E s The lower the spectral efficiency E s The calculation method of is as follows:

[0047] E s =Q m ×R

[0048] R represents the bit rate, Q m Indicates the modulation order. The modulation orders corresponding to different modulation modes are shown in Table 1 below:

[0049] Modulation QPSK 16QAM 64QAM 256QAM <![CDATA[Q m ]]> 2 4 6 8

[0050] Table 1

[0051] The demodulation threshold power P corresponding to each spectrum efficiency interval in the mapping table th [k] (unit: dBm / SCS) can be calculated based on the following formula:

[0052] P th [k] = -174 + 10 × log 10 (f scs )+N f +ρ th [k]+Δ SNR (1)

[0053] In the above formula, Δ SNR represents the reserved margin (i.e. the aforementioned design margin), without loss of generality, Δ SNR The value of can be 2~3dB, N f represents the noise amplification factor, f scs Indicates the subcarrier spacing (unit: Hz), -174+10×log 10 (f scs )+N f Refers to the aforementioned reference noise floor.

[0054] Exemplarily, a simulation test can be performed by adjusting the value of the signal-to-noise ratio under the conditions of setting signal modulation (i.e., using the multiple signal modulation methods used in Table 1), bandwidth, noise power spectrum density, etc., to record the simulation results of different spectral efficiencies corresponding to different signal-to-noise ratios (i.e., simulation data corresponding to the spectral efficiency).

[0055] Exemplarily, if the transmission distance between the receiving node and the corresponding sending node is set to d (unit: meter), and the reference path loss is PL, then the reference path loss can be calculated by referring to the following formula:

[0056] PL=-10*log 10 (λ / 4πd) 2 (2)

[0057] In the above formula, λ represents the wavelength, and λ=c / f, c=3×10 8 m / s is the speed of light, and f is the carrier frequency (unit: Hz).

[0058] Based on the above settings, the corresponding sending node is supported to determine the sending power of the signal to be transmitted according to the demodulation threshold power corresponding to the expected spectrum efficiency and the reference path loss, and the sending power of the signal to be transmitted can be dynamically determined based on the actual transmission distance between the receiving node and the corresponding sending node, so as to support the transmission of more data and lower energy consumption while ensuring the reliable transmission of the signal to be transmitted.

[0059] In one example, the sending node may be configured to calculate the reference path loss so that the receiving node does not need to send the reference path loss, thereby saving the resource overhead of the receiving node in the preparation stage of receiving the signal to be transmitted.

[0060] In one embodiment, the AGC gain under different channel bandwidths corresponding to the spectrum efficiency is determined based on the target received power and the reference received power, wherein the reference received power is determined based on the demodulation threshold power corresponding to the spectrum efficiency, the number of subcarriers under the channel bandwidth, and the noise floor, the demodulation threshold power corresponds to the subcarrier spacing of the subcarrier, and the noise floor is determined based on the channel bandwidth.

[0061] Further, the AGC gain includes an analog AGC gain and a digital AGC gain, and the target received power includes a first target power for characterizing an analog to digital converter (ADC) export data target power and a second target power for characterizing a digital AGC export data target power;

[0062] The analog AGC gain is determined according to the first target power and the reference received power;

[0063] The digital AGC gain is determined according to the second target power, the reference received power, and the analog AGC gain.

[0064] In this embodiment, a customized first target power for characterizing the target power of ADC output data and a second target power for characterizing the target power of digital AGC output data are introduced to adapt to the automatic gain control (AGC) requirements in different application scenarios, thereby enhancing the comprehensiveness and accuracy of the analog AGC gain and digital AGC gain calculated in the mapping table.

[0065] For example, the analog AGC gain G corresponding to each spectral efficiency in the mapping table is A [k] and digital AGC gain G D [k] can be calculated based on the following formula:

[0066]

[0067] P n = -174 + 10 × log 10 (BW*1e6)+N f (8)

[0068] In the above formula, Indicates the target power of the ADC output data (which can be understood as the first target power mentioned above, unit: dBFS); represents the target power after digital AGC (which can be understood as the aforementioned second target power, unit: dBFS); P rx Indicates the actual received signal power (which can be understood as the aforementioned reference received power, unit: dBm); Indicates the ideal signal power under the current channel bandwidth of the self-organizing network (unit: mW); Indicates the signal power corresponding to the background noise (unit: mW); P n Indicates the noise floor (unit: dBm); Indicates the correspondence between 0dBFS and dBm (making the maximum sampling value in the analog domain correspond to 0dBFs in the digital domain); BW indicates the current working channel bandwidth of the self-organizing network (unit: MHz); N sc Indicates the number of subcarriers in a given channel bandwidth.

[0069] For example, taking SCS = 30kHz as an example, the channel bandwidth BW of 5G NR is related to the number of subcarriers N sc The corresponding relationship is shown in Table 2 below:

[0070]

[0071] Table 2

[0072] In some implementations, when the receiving node transmits spectrum efficiency based on broadcast, the broadcast transmission power may be determined in the following manner:

[0073] In the case where the alternative broadcast transmit power is less than the minimum broadcast transmit power of the receiving node, the minimum broadcast transmit power is determined as the broadcast transmit power, wherein the alternative broadcast transmit power is determined according to a target demodulation threshold power and a maximum path loss, the maximum path loss is used to characterize the path loss of the self-organizing network at a maximum transmission distance, and the target demodulation threshold power is a demodulation power threshold corresponding to the minimum spectrum efficiency in the mapping table;

[0074] In a case where the candidate broadcast transmission power is greater than the maximum broadcast transmission power of the receiving node, determining the maximum broadcast transmission power as the broadcast transmission power;

[0075] In a case where the candidate broadcast transmit power is between the minimum broadcast transmit power and the maximum broadcast transmit power, the candidate broadcast transmit power is determined as the broadcast transmit power.

[0076] The above process calculates the alternative broadcast transmit power based on the path loss of the self-organizing network at the maximum transmission distance to adapt to the extreme path loss caused by the long transmission distance under extreme working conditions, thereby increasing the reliability of the calculated alternative broadcast transmit power. The alternative broadcast transmit power is calculated based on the demodulation threshold power of the minimum spectral efficiency in the mapping table. This is to use the power configuration data of the maximum transmit power supported in the mapping table to fully utilize the available power configuration provided by the mapping table. In addition, the actual broadcast transmit power is limited by the minimum broadcast transmit power and the maximum broadcast transmit power of the receiving node to avoid the used broadcast transmit power exceeding the power threshold that can be achieved by the receiving node itself, thereby ensuring the effective transmission of the spectral efficiency by the receiving node.

[0077] For example, if the broadcast transmission power is set to P b (Unit: dBm / SCS), then the broadcast transmit power can be calculated based on the following formula:

[0078] P b =min(max(P th [0]+Pl,P minr ),P maxr ) (9)

[0079] Pl = -10*log 10 (λ / 4πD) 2 (10)

[0080] In the above formula, the minimum broadcast transmission power of the receiving node is P minr , the maximum broadcast transmission power P of the receiving node maxr The demodulation threshold power corresponding to the minimum spectrum efficiency in the mapping table is P th [0], the maximum path loss is Pl, and the maximum transmission distance of the self-organizing network is D.

[0081] See also Figure 2 , the present application embodiment provides a signal transmission method, such as Figure 2 As shown, the signal transmission method is applied to a sending node, the sending node is a node in a self-organizing network, and the method includes:

[0082] Step 201: Receive the expected spectrum efficiency of the to-be-transmitted signal fed back by the corresponding receiving node.

[0083] The receiving node is a node in the self-organizing network.

[0084] Step 202: Configure the transmission power of the signal to be transmitted according to the demodulation threshold power corresponding to the expected spectrum efficiency in the mapping table.

[0085] The mapping table is used to characterize the corresponding relationship between spectrum efficiency and demodulation threshold power, and the sending node and the receiving node use the same mapping table.

[0086] Based on the above settings, by pre-constructing a mapping table of spectrum efficiency-demodulation threshold-AGC gain, simplified management of the power control parameters of each node in the self-organizing network is achieved, thereby replacing the related technology of maintaining a set of power control parameters for each node, reducing the amount of data of the power control parameters to be maintained in the self-organizing network as a whole, and reducing the complexity and implementation cost of power control for each node in the self-organizing network, thereby reducing the communication cost between different nodes in the self-organizing network.

[0087] In one embodiment, when the candidate transmit power is less than the minimum transmit power of the transmitting node, the minimum transmit power is determined as the transmit power, wherein the candidate transmit power is determined according to the demodulation threshold power and the path loss corresponding to the expected spectrum efficiency;

[0088] When the candidate transmission power is greater than the maximum transmission power of the transmitting node, determining the maximum transmission power as the transmission power;

[0089] In a case where the candidate transmit power is between the minimum transmit power and the maximum transmit power, the candidate transmit power is determined as the transmit power.

[0090] In this embodiment, the alternative transmission power is calculated based on the power value of the demodulation threshold included in the mapping data of the spectrum efficiency corresponding to the expected value of the receiving node in the mapping table. Under the premise of ensuring the reliability of the calculated reference transmission power, full utilization of the available power configuration provided by the mapping table can be achieved. Among them, the introduction of path loss can fully consider the limitation of the transmission distance between the sending node and the receiving node to ensure the reliability of the calculated transmission power. In addition, the actual signal transmission power is limited by the minimum transmission power and the maximum transmission power of the sending node to avoid the calculated alternative transmission power exceeding the achievable power threshold of the sending node itself, thereby ensuring the effective transmission of the signal to be transmitted.

[0091] If the transmission power of the signal to be transmitted is set to P tx (Unit: dBm / SCS), then the transmit power can be calculated based on the following formula:

[0092] P tx =min(max(P th +PL,P mint ),P maxt ) (11)

[0093] In the above formula, the minimum transmission power of the sending node is P mint , the maximum transmission power P of the sending node maxt The demodulation threshold power corresponding to the expected spectrum efficiency in the mapping table is P th , the path loss is PL.

[0094] It should be understood that in the present application, for any two different nodes in a self-organizing network, the mapping tables used are exactly the same. For any node in the self-organizing network, based on the setting of the above mapping table and the power control measures corresponding to the mapping table, the corresponding broadcast transmission power can be used to send the broadcast channel, and the corresponding signal transmission power can be used to send the service channel.

[0095] The above configuration can effectively reduce the complexity of power control of multiple nodes in a one-to-many or many-to-many type self-organizing network and the number of power control parameters that need to be maintained.

[0096] Further, the path loss is between a reference path loss and a maximum path loss, wherein the reference path loss is used to characterize the path loss between the sending node and the receiving node, and the maximum path loss is used to characterize the path loss of the self-organizing network at a maximum transmission distance;

[0097] and / or,

[0098] The path loss is calculated by the sending node or obtained through feedback from the receiving node.

[0099] The path loss is set between the reference path loss and the maximum path loss to match the combined limitation of the actual transmission distance between the sending node and the receiving node and the maximum transmission distance of the self-organizing network, so as to avoid too small or too large path loss from participating in the calculation. Under the premise of ensuring the reliability of the final calculated alternative transmission power, avoid the calculated alternative transmission power being too small to achieve full use of the available transmission power of the sending node.

[0100] In addition, the path loss is calculated by the sending node or obtained by feedback from the receiving node to provide a variety of path loss acquisition methods and increase the application flexibility of the solution described in this application.

[0101] See also Figure 3 , Figure 3 is a signal transmission device provided in an embodiment of the present application, such as Figure 3 As shown, it is applied to a receiving node, the receiving node is a node in a self-organizing network, and the signal transmission device 300 includes:

[0102] An expected sending module 301, configured to feed back an expected spectrum efficiency of a signal to be transmitted to a corresponding sending node, wherein the sending node is a node in the self-organizing network;

[0103] The receiving configuration module 302 is used to configure the AGC gain corresponding to the expected spectrum efficiency in the mapping table as the initial AGC gain for receiving the signal to be transmitted, and to configure the demodulation threshold power corresponding to the expected spectrum efficiency in the mapping table as the initial demodulation threshold power for receiving the signal to be transmitted, wherein the mapping table is used to characterize the correspondence between spectrum efficiency, demodulation threshold power and AGC gain, the transmission power of the signal to be transmitted is determined according to the demodulation threshold power corresponding to the expected spectrum efficiency in the mapping table, and the receiving node and the sending node use the same mapping table.

[0104] In one embodiment, the AGC gain under different channel bandwidths corresponding to the spectrum efficiency is determined based on the target received power and the reference received power, wherein the reference received power is determined based on the demodulation threshold power corresponding to the spectrum efficiency, the number of subcarriers under the channel bandwidth, and the noise floor, the demodulation threshold power corresponds to the subcarrier spacing of the subcarrier, and the noise floor is determined based on the channel bandwidth.

[0105] In one embodiment, the AGC gain includes an analog AGC gain and a digital AGC gain, and the target received power includes a first target power for characterizing a target power of ADC output data and a second target power for characterizing a target power of digital AGC output data;

[0106] The analog AGC gain is determined according to the first target power and the reference received power;

[0107] The digital AGC gain is determined according to the second target power, the reference received power, and the analog AGC gain.

[0108] In one embodiment, the demodulation threshold power corresponding to the spectrum efficiency is determined according to a reference noise floor, a design margin, and a signal-to-noise ratio corresponding to the spectrum efficiency, wherein the reference noise floor is a noise floor corresponding to a set subcarrier spacing, and the signal-to-noise ratio corresponding to the spectrum efficiency is determined according to simulation data corresponding to the spectrum efficiency;

[0109] and / or,

[0110] The receiving node also feeds back a reference path loss to the sending node, wherein the reference path loss is used to characterize the path loss between the receiving node and the sending node, and the transmission power of the signal to be transmitted is determined according to the demodulation threshold power corresponding to the expected spectrum efficiency and the reference path loss.

[0111] The signal transmission device 300 provided in the embodiment of the present application can implement each process in the signal transmission method embodiment corresponding to the above-mentioned receiving node side, and will not be described again here to avoid repetition.

[0112] See also Figure 4 , Figure 4 is a signal transmission device provided in an embodiment of the present application, such as Figure 4 As shown, it is applied to a sending node, the sending node is a node in a self-organizing network, and the signal transmission device 400 includes:

[0113] An expected receiving module 401 is used to receive an expected spectrum efficiency of a signal to be transmitted fed back by a corresponding receiving node, wherein the receiving node is a node in the self-organizing network;

[0114] The sending configuration module 402 is used to configure the sending power of the signal to be transmitted according to the demodulation threshold power corresponding to the expected spectrum efficiency in the mapping table, wherein the mapping table is used to characterize the correspondence between spectrum efficiency and demodulation threshold power, and the sending node and the receiving node use the same mapping table.

[0115] In one embodiment, the sending configuration module 402 is specifically used to:

[0116] When the candidate transmission power is less than the minimum transmission power of the transmitting node, the minimum transmission power is determined as the transmission power, wherein the candidate transmission power is determined according to the demodulation threshold power and the path loss corresponding to the expected spectrum efficiency;

[0117] When the candidate transmission power is greater than the maximum transmission power of the transmitting node, determining the maximum transmission power as the transmission power;

[0118] In a case where the candidate transmit power is between the minimum transmit power and the maximum transmit power, the candidate transmit power is determined as the transmit power.

[0119] In one embodiment, the path loss is between a reference path loss and a maximum path loss, wherein the reference path loss is used to characterize the path loss between the sending node and the receiving node, and the maximum path loss is used to characterize the path loss of the self-organizing network at a maximum transmission distance;

[0120] and / or,

[0121] The path loss is calculated by the sending node or obtained through feedback from the receiving node.

[0122] The signal transmission device 400 provided in the embodiment of the present application can implement each process in the signal transmission method embodiment corresponding to the above-mentioned sending node side, and will not be described again here to avoid repetition.

[0123] According to an embodiment of the present application, the present application also provides an electronic device and a readable storage medium.

[0124] Figure 5 A schematic block diagram of an example electronic device 500 that can be used to implement an embodiment of the present application is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present application described and / or required herein.

[0125] like Figure 5 As shown, the device 500 includes a computing unit 501, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 502 or a computer program loaded from a storage unit 508 to a random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the device 500 can also be stored. The computing unit 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0126] A number of components in the device 500 are connected to the I / O interface 505, including: an input unit 506, such as a keyboard, a mouse, etc.; an output unit 507, such as various types of displays, speakers, etc.; a storage unit 508, such as a disk, an optical disk, etc.; and a communication unit 509, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 509 allows the device 500 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0127] The computing unit 501 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 501 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSP), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 501 performs the various methods and processes described above, such as signal transmission methods. For example, in some embodiments, the signal transmission method may be implemented as a computer software program, which is tangibly included in a machine-readable medium, such as a storage unit 508. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 500 via the ROM 502 and / or the communication unit 509. When the computer program is loaded into the RAM 503 and executed by the computing unit 501, one or more steps of the signal transmission method described above may be performed. Alternatively, in other embodiments, the computing unit 501 may be configured to execute the signal transmission method in any other appropriate manner (eg, by means of firmware).

[0128] Various embodiments of the systems and techniques described above herein may be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0129] The program code for implementing the method of the present application can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, implements the functions / operations specified in the flow chart and / or block diagram. The program code can be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0130] In the context of the present application, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0131] As used herein, the term "machine-readable medium" refers to any computer program product, apparatus, and / or device (e.g., disk, optical disk, memory, programmable logic device (PLD)) for providing machine instructions and / or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal for providing machine instructions and / or data to a programmable processor.

[0132] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0133] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0134] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0135] The present application also provides a computer program product, including computer instructions, which, when executed by a processor, implement the above Figure 1 or Figure 2The various processes of the method embodiment shown can achieve the same technical effect, and will not be described again here to avoid repetition.

[0136] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this application can be executed in parallel, sequentially or in different orders, as long as the expected results of the technical solution disclosed in this application can be achieved, and this document is not limited here.

[0137] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A signal transmission method, characterized in that: Applied to a receiving node, the receiving node being a node in a self-organizing network, the method comprises: Feedback the expected spectrum efficiency of the to-be-transmitted signal to a corresponding sending node, wherein the sending node is a node in the self-organizing network; The AGC gain corresponding to the expected spectrum efficiency in the mapping table is configured as the initial AGC gain for receiving the signal to be transmitted, and the demodulation threshold power corresponding to the expected spectrum efficiency in the mapping table is configured as the initial demodulation threshold power for receiving the signal to be transmitted, wherein the mapping table is used to characterize the correspondence between spectrum efficiency, demodulation threshold power and AGC gain, the transmission power of the signal to be transmitted is determined according to the demodulation threshold power corresponding to the expected spectrum efficiency in the mapping table, and the receiving node and the sending node use the same mapping table.

2. The method according to claim 1, characterized in that The AGC gain under different channel bandwidths corresponding to the spectrum efficiency is determined according to the target received power and the reference received power, wherein the reference received power is determined according to the demodulation threshold power corresponding to the spectrum efficiency, the number of subcarriers under the channel bandwidth, and the noise floor, the demodulation threshold power corresponds to the subcarrier spacing of the subcarrier, and the noise floor is determined according to the channel bandwidth.

3. The method according to claim 2, characterized in that The AGC gain includes an analog AGC gain and a digital AGC gain, and the target received power includes a first target power for characterizing a target power of ADC output data and a second target power for characterizing a target power of digital AGC output data; The analog AGC gain is determined according to the first target power and the reference received power; The digital AGC gain is determined according to the second target power, the reference received power, and the analog AGC gain.

4. The method according to claim 1, characterized in that: The demodulation threshold power corresponding to the spectrum efficiency is determined according to a reference noise floor, a design margin, and a signal-to-noise ratio corresponding to the spectrum efficiency, wherein the reference noise floor is a noise floor corresponding to a set subcarrier spacing, and the signal-to-noise ratio corresponding to the spectrum efficiency is determined according to simulation data corresponding to the spectrum efficiency; and / or, The receiving node also feeds back a reference path loss to the sending node, wherein the reference path loss is used to characterize the path loss between the receiving node and the sending node, and the transmission power of the signal to be transmitted is determined according to the demodulation threshold power corresponding to the expected spectrum efficiency and the reference path loss.

5. A signal transmission method, characterized in that: Applied to a sending node, the sending node being a node in a self-organizing network, the method comprises: receiving an expected spectrum efficiency of a signal to be transmitted fed back by a corresponding receiving node, wherein the receiving node is a node in the self-organizing network; The transmission power of the signal to be transmitted is configured according to the demodulation threshold power corresponding to the expected spectrum efficiency in the mapping table, wherein the mapping table is used to characterize the correspondence between spectrum efficiency and demodulation threshold power, and the sending node and the receiving node use the same mapping table.

6. The method according to claim 5, characterized in that When the candidate transmission power is less than the minimum transmission power of the transmitting node, the minimum transmission power is determined as the transmission power, wherein the candidate transmission power is determined according to the demodulation threshold power and the path loss corresponding to the expected spectrum efficiency; When the candidate transmission power is greater than the maximum transmission power of the transmitting node, determining the maximum transmission power as the transmission power; In a case where the candidate transmit power is between the minimum transmit power and the maximum transmit power, the candidate transmit power is determined as the transmit power.

7. The method according to claim 6, characterized in that The path loss is between a reference path loss and a maximum path loss, wherein the reference path loss is used to characterize the path loss between the sending node and the receiving node, and the maximum path loss is used to characterize the path loss of the self-organizing network at a maximum transmission distance; and / or, The path loss is calculated by the sending node or obtained through feedback from the receiving node.

8. An electronic device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the method as claimed in any one of claims 1 to 4, or implements the steps of the method as claimed in any one of claims 5 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the computer program implements the steps of the method as claimed in any one of claims 1 to 4, or implements the steps of the method as claimed in any one of claims 5 to 7.

10. A computer program product, characterized in that The method comprises computer instructions, which, when executed by a processor, implement the steps of the method according to any one of claims 1 to 4, or implement the steps of the method according to any one of claims 5 to 7.

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