Transmission power control method and terminal equipment

Abstract

The present application relates to a transmission power control method and a terminal device. The transmission power control method includes: the terminal device obtains the minimum effective transmission power of the first signal according to the transmission power influence information. In the embodiment of the present application, the transmission power of the first signal can be reasonably controlled by the minimum effective transmission power of the first signal.

Description

Technical Field

[0001] The present application relates to the field of communications, and more specifically, to a transmission power control method and terminal equipment. Background Art

[0002] In the fourth-generation wireless communication technology (4G) and fifth-generation wireless communication technology (5G) systems, when a wireless communication terminal (also referred to as UE (User Equipment, such as a mobile phone) is configured with multiple uplink carriers in the uplink direction, two or more uplink carriers may have signals transmitted simultaneously at the same time. If the uplink transmission signal of one of the carriers is a physical random access channel (PRACH) signal, the transmission power of the PRACH signal may be limited due to simultaneous transmission with signals of other carriers. It is necessary to consider how to control the transmission power of the PRACH signal. Summary of the invention

[0003] The embodiments of the present application provide a transmission power control method and a terminal device.

[0004] The present application provides a method for controlling transmission power, including:

[0005] The terminal device obtains the minimum effective transmission power of the first signal according to the transmission power impact information.

[0006] The present application provides a terminal device, including:

[0007] A processing unit is used to obtain the minimum effective transmission power of the first signal according to the transmission power impact information.

[0008] The embodiment of the present application provides a terminal device, including a processor and a memory. The memory is used to store a computer program, and the processor is used to call and run the computer program stored in the memory, so that the terminal device executes the transmission power control method in the embodiment of the present application.

[0009] The embodiment of the present application provides a network device, including a processor and a memory. The memory is used to store a computer program, and the processor is used to call and run the computer program stored in the memory, so that the network device executes the transmission power control method in the embodiment of the present application.

[0010] An embodiment of the present application provides a chip for implementing the above-mentioned transmission power control method.

[0011] Specifically, the chip includes: a processor, which is used to call and run a computer program from a memory, so that a device equipped with the chip executes the transmission power control method in the embodiment of the present application.

[0012] In the embodiment of the present application, the transmission power of the first signal can be reasonably controlled by the minimum effective transmission power of the first signal. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a schematic diagram of an application scenario according to an embodiment of the present application.

[0014] Figure 2 It is a schematic flowchart of a transmission power control method according to an embodiment of the present application.

[0015] Figure 3 It is a schematic flowchart of a transmission power control method according to another embodiment of the present application.

[0016] Figure 4 It is a schematic diagram of the mapping relationship between the minimum transmit power of the PRACH signal and the path loss.

[0017] Figure 5 It is a schematic diagram of the mapping relationship between the minimum transmit power of the PRACH signal and the path loss and interference signal strength.

[0018] Figure 6 It is a schematic diagram showing that the error of the fitting function is within the tolerance error.

[0019] Figure 7 It is a schematic diagram of a power climbing judgment process when PRACH power is limited based on a regression function.

[0020] Figure 8 It is a schematic block diagram of a terminal device according to an embodiment of the present application.

[0021] Fig. 9 It is a schematic block diagram of a communication device according to an embodiment of the present application.

[0022] Fig.10 is a schematic block diagram of a chip according to an embodiment of the present application.

[0023] Fig.11 It is a schematic block diagram of a communication system according to an embodiment of the present application. DETAILED DESCRIPTION

[0024] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

[0025] The technical solutions of the embodiments of the present application can be applied to various communication systems, such as: Global System of Mobile communication (GSM) system, Code Division Multiple Access (CDMA) system, Wideband Code Division Multiple Access (WCDMA) system, General Packet Radio Service (GPRS), Long Term Evolution (LTE) system, Advanced Long Term Evolution (LTE-A) system, New Radio (NR) system, NR system evolution system, LTE on unlicensed spectrum (LTE-U) system, NR on unlicensed spectrum (NR-U) system, Non-Terrestrial Networks (NTN) system, Universal Mobile Telecommunication System (UMTS), Wireless Local Area Networks (WLAN), Wireless Fidelity (Wireless Fidelity) system. Fidelity, WiFi), fifth-generation communication (5th-Generation, 5G) system or other communication systems, etc.

[0026] Generally speaking, traditional communication systems support a limited number of connections and are easy to implement. However, with the development of communication technology, mobile communication systems will not only support traditional communications, but will also support, for example, device to device (Device to Device, D2D) communication, machine to machine (Machine to Machine, M2M) communication, machine type communication (Machine Type Communication, MTC), vehicle to vehicle (V2V) communication, or vehicle to everything (V2X) communication, etc. The embodiments of the present application can also be applied to these communication systems.

[0027] In one implementation, the communication system in the embodiment of the present application can be applied to a carrier aggregation (CA) scenario, a dual connectivity (DC) scenario, or a standalone (SA) networking scenario.

[0028] In one embodiment, the communication system in the embodiment of the present application can be applied to an unlicensed spectrum, wherein the unlicensed spectrum can also be considered as a shared spectrum; or, the communication system in the embodiment of the present application can also be applied to an authorized spectrum, wherein the authorized spectrum can also be considered as an unshared spectrum.

[0029] The embodiments of the present application describe various embodiments in conjunction with network devices and terminal devices, wherein the terminal device may also be referred to as user equipment (UE), access terminal, user unit, user station, mobile station, mobile station, remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent or user device, etc.

[0030] The terminal device can be a station (STAION, ST) in a WLAN, a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA) device, a handheld device with wireless communication function, a computing device or other processing device connected to a wireless modem, a vehicle-mounted device, a wearable device, a terminal device in a next-generation communication system such as an NR network, or a terminal device in a future evolved Public Land Mobile Network (PLMN) network, etc.

[0031] In the embodiments of the present application, the terminal device can be deployed on land, including indoors or outdoors, handheld, wearable or vehicle-mounted; it can also be deployed on the water surface (such as ships, etc.); it can also be deployed in the air (for example, on airplanes, balloons and satellites, etc.).

[0032] In the embodiment of the present application, the terminal device can be a mobile phone, a tablet computer, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self driving, a wireless terminal device in remote medical, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, or a wireless terminal device in a smart home, etc.

[0033] As an example but not limitation, in the embodiments of the present application, the terminal device may also be a wearable device. Wearable devices may also be referred to as wearable smart devices, which are a general term for wearable devices that are intelligently designed and developed using wearable technology for daily wear, such as glasses, gloves, watches, clothing, and shoes. A wearable device is a portable device that is worn directly on the body or integrated into the user's clothes or accessories. Wearable devices are not only hardware devices, but also powerful functions achieved through software support, data interaction, and cloud interaction. Broadly speaking, wearable smart devices include full-featured, large-sized, and fully or partially independent of smartphones, such as smart watches or smart glasses, as well as devices that only focus on a certain type of application function and need to be used in conjunction with other devices such as smartphones, such as various types of smart bracelets and smart jewelry for vital sign monitoring.

[0034] In an embodiment of the present application, the network device may be a device for communicating with a mobile device. The network device may be an access point (AP) in WLAN, a base station (Base Transceiver Station, BTS) in GSM or CDMA, a base station (NodeB, NB) in WCDMA, an evolved base station (EvolutionalNode B, eNB or eNodeB) in LTE, or a relay station or access point, or a vehicle-mounted device, a wearable device, and a network device (gNB) in an NR network, or a network device in a future evolved PLMN network, or a network device in an NTN network, etc.

[0035] As an example but not limitation, in an embodiment of the present application, the network device may have a mobile characteristic, for example, the network device may be a mobile device. Optionally, the network device may be a satellite or a balloon station. For example, the satellite may be a low earth orbit (LEO) satellite, a medium earth orbit (MEO) satellite, a geostationary earth orbit (GEO) satellite, a high elliptical orbit (HEO) satellite, etc. Optionally, the network device may also be a base station set up in a location such as land or water.

[0036] In an embodiment of the present application, the network device can provide services for a cell, and the terminal device communicates with the network device through the transmission resources used by the cell (for example, frequency domain resources, or spectrum resources). The cell can be a cell corresponding to the network device (for example, a base station), and the cell can belong to a macro base station or a base station corresponding to a small cell. The small cells here may include: metro cells, micro cells, pico cells, femto cells, etc. These small cells have the characteristics of small coverage and low transmission power, and are suitable for providing high-speed data transmission services.

[0037] Figure 1 A communication system 100 is exemplarily shown. The communication system includes a network device 110 and two terminal devices 120. In one embodiment, the communication system 100 may include multiple network devices 110, and each network device 110 may include other number of terminal devices 120 within its coverage area, which is not limited in the present embodiment.

[0038] In one implementation, the communication system 100 may also include other network entities such as a mobility management entity (MME), an access and mobility management function (AMF), etc., which is not limited in the embodiments of the present application.

[0039] Among them, the network equipment may include access network equipment and core network equipment. That is, the wireless communication system also includes multiple core networks for communicating with the access network equipment. The access network equipment may be an evolutionary base station (evolutional node B, referred to as eNB or e-NodeB) macro base station, micro base station (also called "small base station"), micro-micro base station, access point (AP), transmission point (TP) or new generation base station (new generation Node B, gNodeB) in a long-term evolution (LTE) system, a next-generation (mobile communication system) (next radio, NR) system or an authorized auxiliary access long-term evolution (LAA-LTE) system.

[0040] It should be understood that the device with communication function in the network / system in the embodiment of the present application can be referred to as a communication device. Figure 1 Taking the communication system shown as an example, the communication equipment may include network equipment and terminal equipment with communication functions. The network equipment and terminal equipment may be specific equipment in the embodiments of the present application and will not be repeated here. The communication equipment may also include other equipment in the communication system, such as network controllers, mobile management entities and other network entities, which are not limited to the embodiments of the present application.

[0041] It should be understood that the terms "system" and "network" are often used interchangeably in this article. The term "and / or" in this article is only a description of the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0042] It should be understood that the "indication" mentioned in the embodiments of the present application can be a direct indication, an indirect indication, or an indication of an association relationship. For example, A indicates B, which can mean that A directly indicates B, for example, B can be obtained through A; it can also mean that A indirectly indicates B, for example, A indicates C, and B can be obtained through C; it can also mean that there is an association relationship between A and B.

[0043] In the description of the embodiments of the present application, the term "corresponding" may indicate a direct or indirect correspondence between two items, or an association relationship between the two items, or a relationship between indication and being indicated, configuration and being configured, and the like.

[0044] To facilitate understanding of the technical solutions of the embodiments of the present application, the relevant technologies of the embodiments of the present application are described below. The following related technologies can be arbitrarily combined with the technical solutions of the embodiments of the present application as optional solutions, and they all belong to the protection scope of the embodiments of the present application.

[0045] In 4G and 5G, there may be two or more uplink carriers with signals transmitted simultaneously at the same time. Here, all uplink carriers sent simultaneously may all be 4G uplink carriers, or all may be 5G uplink carriers. In the EN-DC (EUTRA-NR Dual Connection) scenario, some may be 4G uplink carriers and some may be 5G uplink carriers. In this scenario, according to the standard document of 3GPP (3rd Generation Partnership Project), when the total power of the signals of all uplink carriers at the same time exceeds the maximum power limit specified by the 3GPP standard, it is necessary to allocate the transmission power according to the priority of different signals to ensure that the total power of the transmission signals of all carriers of the wireless communication terminal at the same time does not exceed the maximum power limit specified by the 3GPP standard.

[0046] Under the above premise, when the uplink transmission signal of one of the carriers is a physical random access channel (PRACH) signal and the priority of the PRACH signal is low, the transmission power of the PRACH signal may be limited. Under this condition, due to the limited transmission power of the PRACH signal, and taking into account the influence of different related parameter configurations and channel conditions, the PRACH signal may be correctly received or not successfully received on the base station side. According to the 3GPP standard document on the MAC layer (Medium Access Control, MAC) of 4G and the standard document on the MAC layer of 5G, the MAC layer will maintain a power climbing counter for the transmission of the PRACH signal to control the transmission power climbing of the PRACH signal. In the same random access process, when the PRACH signal needs to be retransmitted, the counter is incremented by one. Each time the counter is incremented, the corresponding transmission power of the next PRACH signal retransmission will increase by a predefined step size. When the transmission power of the current PRACH signal is limited due to simultaneous transmission with other uplink signals, the 3GPP standard does not give a clear standard for whether to increase the count of the power ramp counter of the PRACH signal to increase the transmission power of the next PRACH signal. The 3GPP standard document only stipulates that the wireless communication terminal shall determine whether to increase the transmission power of the next PRACH signal.

[0047] Under specific channel conditions, if the transmission power of the current PRACH signal before being restricted can meet the requirements of the current signal transmission, that is, under the condition that the current power-limited PRACH signal is not correctly received by the base station, if the next PRACH signal is transmitted according to the power before the current PRACH is restricted, under the premise that the channel conditions remain unchanged, the base station side should be able to correctly receive the PRACH signal transmitted by this wireless communication terminal. Under this condition, it is not necessary to increase the transmission power of the next PRACH signal. Under this condition, if the transmission power of the next PRACH signal is increased, there will be many negative effects. For example, it will cause UE power waste; it will also cause unnecessary interference to other wireless communication terminals; when the next PRACH is transmitted, if the PRACH and other carrier signals are transmitted at the same time and the PRACH has a higher priority, it may cause insufficient power left for the signals of other carriers and affect their transmission performance, etc.

[0048] In addition, under certain channel conditions, if the transmission power of the current PRACH signal before being restricted cannot meet the requirements of the current signal transmission, that is, under the condition that the current power-limited PRACH is not correctly received by the base station, the next PRACH signal is transmitted according to the power before the current PRACH is restricted and the relevant parameter configuration and channel conditions remain unchanged, the base station side may still not be able to correctly receive the PRACH signal transmitted by this UE. Under this condition, it is necessary to increase the transmission power of the next PRACH signal. Under this condition, if the transmission power of the next PRACH signal is not increased, the random access process will be delayed, affecting the access performance of the wireless communication terminal.

[0049] In summary, when the transmission power of the PRACH signal is limited due to simultaneous transmission with signals of other carriers, whether to increase the PRACH power climbing counter to increase the transmission power of the next PRACH signal is a problem that needs to be solved.

[0050] Figure 2 FIG. 2 is a schematic flow chart of a transmission power control method 200 according to an embodiment of the present application. The method may optionally be applied to Figure 1 The system shown in the figure is not limited thereto. The method includes at least part of the following contents.

[0051] S210. The terminal device obtains the minimum effective transmission power of the first signal according to the transmission power impact information.

[0052] In the embodiment of the present application, whether the first signal such as the PRACH signal transmitted by the terminal device such as the UE can be successfully received by the network device such as the base station is affected by many other factors in addition to the transmission power of the PRACH signal. These factors may also affect whether the transmission power of the PRACH signal needs to be increased later, so they can be called transmission power impact information.

[0053] In one implementation, the first signal may be at least one of a PRACH signal, a physical uplink shared channel (Physical Uplink Shared CHannel, PUSCH) signal, a physical uplink control channel (Physical UplinkControl CHannel, PUCCH) signal, and a physical downlink shared channel (Physical Downlink Shared CHannel, PDSCH) signal.

[0054] In one embodiment, the transmit power impact information includes configuration parameters and / or channel conditions;

[0055] The configuration parameters include common configuration parameters of the cell and / or parameters related to the first signal, such as a PRACH signal, configured by the network device for the terminal device;

[0056] The channel conditions include at least one of the path loss from the terminal device to the network device, the moving speed of the terminal device, the multipath condition of the channel, the interference signal strength, and the transmission performance of the radio frequency module of the terminal device in different frequency bands or different frequency points.

[0057] In the embodiments of the present application, the above configuration parameters and / or channel conditions only list some examples, not exhaustive. In actual application scenarios, there may be other configuration parameters and / or channel conditions.

[0058] In one embodiment, the method further includes: when the transmit power of the PRACH signal is greater than or equal to the minimum effective transmit power of the PRACH signal, the terminal device suspends the power ramp count of the PRACH signal.

[0059] In the embodiment of the present application, whether to control the PRACH signal to climb can be determined based on the minimum effective transmission power of the PRACH signal. The transmission power of the PRACH signal can be compared with the minimum effective transmission power of the PRACH signal. The transmission power of the PRACH signal can be the transmission power of the PRACH signal used currently, last time, or several times before. Figure 3As shown, in method 300, after obtaining the minimum effective transmission power of the PRACH signal in S210, in S330, it can be determined whether the transmission power of the PRACH signal of the terminal device is greater than or equal to the minimum effective transmission power of the PRACH signal. If the transmission power of the PRACH signal is greater than or equal to the minimum effective transmission power of the PRACH signal, it means that the transmission power of the PRACH signal is appropriate, and it may be due to other reasons such as the simultaneous transmission of multi-carrier information that the network device does not receive the PRACH signal. Therefore, there is no need to adjust the transmission power of the PRACH signal, and S340 can be executed to suspend the power climbing count of the PRACH signal.

[0060] In one implementation, the method 300 further includes: when the transmit power of the PRACH signal is less than the minimum effective transmit power of the PRACH signal, the terminal device may execute S320 to perform power ramp counting of the PRACH signal.

[0061] In an embodiment of the present application, if the transmit power of the PRACH signal is less than the minimum effective transmit power of the PRACH signal, it means that the transmit power of the PRACH signal is inappropriate, so the transmit power of the PRACH signal needs to be adjusted, and the power ramp count of the PRACH signal can be performed.

[0062] In the embodiment of the present application, the power climbing count of the PRACH signal is executed, for example, the power count of the PRACH signal is changed from 5 to 6, so that the transmit power of the PRACH signal can be controlled to climb. The power climbing count of the PRACH signal is suspended, for example, the power count of the PRACH signal is kept at 5, so that the transmit power of the PRACH signal can be controlled to remain unchanged.

[0063] In one embodiment, the method further includes: when the transmission power of the PRACH signal is limited due to simultaneous transmission of multiple carrier signals, the terminal device performs the step of acquiring the minimum effective transmission power of the PRACH signal.

[0064] In one embodiment, the method further includes: the terminal device performing a power ramp count of the PRACH signal when the transmit power of the PRACH signal is not limited due to simultaneous transmission of multiple carrier signals.

[0065] In the embodiment of the present application, if the PRACH signal is not successfully received by the network device, such as Figure 3As shown, the terminal device may first execute S310 to determine whether the transmit power of the PRACH signal is limited due to the simultaneous transmission of multi-carrier signals. If so, S210 may be executed to obtain the minimum effective transmit power of the PRACH signal. Otherwise, S320 may be executed to perform power ramp counting of the PRACH signal.

[0066] If the transmit power of the PRACH signal is limited due to the simultaneous transmission of multiple carrier signals. After obtaining the minimum effective transmit power of the PRACH signal, the transmit power of the PRACH signal can be compared with the minimum effective transmit power of the PRACH signal. It is determined whether the transmit power of the PRACH signal is less than the minimum effective transmit power of the PRACH signal. If so, the power ramp count of the PRACH signal can be executed. Otherwise, the power ramp count of the PRACH signal can be suspended.

[0067] In the embodiment of the present application, the transmission power of the PRACH signal can be reasonably controlled through the minimum effective transmission power of the PRACH signal. For example, in a multi-carrier scenario, power consumption can be saved and interference to other wireless communication terminals can be reduced.

[0068] In 4G and 5G wireless communication systems, whether the PRACH signal transmitted by the UE can be successfully received by the base station is affected not only by the transmission power of the PRACH signal, but also by many other factors, such as but not limited to the path loss from the UE to the base station, the movement speed of the UE, the multipath condition of the channel, the strength of the interference signal, and the transmission performance of the UE RF module in different frequency bands / frequency points.

[0069] Taking path loss as an example, under the premise that other relevant conditions except path loss remain unchanged, the mapping relationship between the minimum transmission power of the PRACH signal and the path loss when the PRACH signal can be correctly received by the base station is as follows: Figure 4 As shown in the figure. At this time, the minimum transmission power corresponding to the successful reception of the PRACH signal by the base station is a univariate curve function related to the path loss. Above this curve is the normal working area, that is, under different path loss conditions, the transmission power of PRACH is Figure 4 When the PRACH signal is above the middle curve, the base station can correctly receive the PRACH signal. Below the curve is the non-working area, that is, under different path loss conditions, when the PRACH transmission power is below the curve, the PRACH signal cannot be correctly received by the base station.

[0070] Furthermore, in addition to the path loss, the influence of interference signals of different strengths is also considered. Under the premise that other relevant conditions remain unchanged, the functional mapping relationship between the minimum transmit power of the PRACH signal and the path loss and interference signal strength when the PRACH signal can be correctly received by the base station is as follows: Figure 5As shown. At this time, the minimum transmission power corresponding to the successful reception of the PRACH signal by the base station is a binary surface function of the path loss and the interference signal strength. Above this surface is the normal working area, that is, under the conditions of different path losses and / or different interference signal strengths, when the transmission power of the PRACH signal is above the surface in the figure, the base station can correctly receive this PRACH signal. Below this surface is the non-working area, that is, when the transmission power of the PRACH signal is below the surface, the PRACH signal cannot be correctly received by the base station.

[0071] Furthermore, in addition to the path loss and interference signal strength, when considering more factors that affect the reception performance of the PRACH signal on the base station side, such as but not limited to the UE's moving speed, the multipath condition of the channel, and the transmission performance of the UE RF module in different frequency bands / frequency points. Under this condition, the minimum transmission power of the PRACH signal corresponding to the PRACH signal that can be correctly received by the base station, and the functional relationship of all the above-mentioned related variables, will be a hypersurface in a multidimensional space. The part of this multidimensional hypersurface in the direction of increasing transmission power is the normal working area, that is, when the transmission power of the PRACH signal is above the multidimensional hypersurface, the base station can correctly receive this PRACH signal. The part of this multidimensional hypersurface in the direction of decreasing transmission power is the non-working area, that is, when the transmission power of the PRACH signal is below the multidimensional hypersurface, the PRACH signal cannot be correctly received by the base station.

[0072] When the transmission power of the PRACH signal is limited due to simultaneous transmission with signals of other carriers, if the original transmission power of the PRACH signal before the restriction is in the above-mentioned normal operating range, then if the transmission power of the PRACH signal is not limited, the base station should be able to receive this PRACH signal normally. That is, if the PRACH signal transmitted by the UE this time is not normally received by the base station due to power limitation, and assuming that the transmission power of the next PRACH signal is not limited, then the next PRACH signal should be able to be received normally by the base station. Under this condition, the power climbing count of the PRACH can be suspended. That is, the transmission power of the next PRACH signal will not be increased.

[0073] When the transmit power of the PRACH signal is limited due to simultaneous transmission with signals of other carriers, if the original transmit power of the PRACH signal before the restriction is in the above non-working area, then even if the transmit power of the current PRACH signal is not limited, the base station cannot normally receive the current PRACH signal. Under this condition, the power ramp count of the PRACH signal should be kept increasing to increase the transmit power of the next PRACH signal.

[0074] To summarize, whether to suspend the power climbing count of the PRACH signal needs to be determined based on whether the power of the PRACH signal before being restricted is in the normal working area or the non-working area. To distinguish the above-mentioned normal working area and non-working area, it is first necessary to obtain the curve, surface or multi-dimensional hypersurface corresponding to the minimum effective transmission power (hereinafter referred to as the minimum effective transmission power) corresponding to the successful reception of the PRACH signal by the base station under different conditions. Then, based on the relative size relationship between the transmission power before the PRACH signal was restricted and the minimum effective transmission power under the current conditions, it is determined whether the transmission power before the PRACH signal was restricted corresponds to the normal working area or the non-working area. Therefore, it is necessary to obtain the curve, surface or multi-dimensional hypersurface where the minimum effective transmission power under different conditions is located.

[0075] A method for performing regression fitting on the above-mentioned curve, surface or multi-dimensional hypersurface based on a support vector machine regression algorithm is given below.

[0076] In one embodiment, the transmit power control method further includes: obtaining a regression function for calculating the minimum effective transmit power of the first signal, such as a PRACH signal, by a regression fitting method.

[0077] In one embodiment, the regression function of the minimum effective transmit power is established based on at least one of the following:

[0078] Parameter vector x corresponding to parameter configuration and / or channel conditions;

[0079] The mapping function φ(x) that maps the parameter vector x to the feature space;

[0080] Regression coefficient vector ω T ;

[0081] regression function scalar b;

[0082] The transpose of the mapping function φ(x) i ) T ;

[0083] Parameter sample x in parameter vector x i The corresponding kernel function K(x i ,x);

[0084] Lagrange multipliers corresponding to the parameter samples in the parameter vector x and α i .

[0085] In one example, the regression function f(x) of the minimum effective transmit power may be: f(x)=ω T φ(x)+b, where ω Tis the regression coefficient vector, b is the regression function scalar, and φ(x) is the mapping function from the parameter vector x to the feature space. The samples obtained under different parameter configurations and / or channel conditions are recorded as (x1, P1), (x2, P2), …, (x M ,P M In the embodiment of the present application, it is desired to obtain a function that can fit the parameter vector x to the transmission power P i The mapping relationship is to obtain a function f(x) such that f(x i )=P i , 1i≤M.

[0086] In another example, the regression function of the minimum effective transmit power can be based on f(x)=ω T φ(x)+b is converted to:

[0087] Among them, φ(x) is the mapping function that maps the original parameter vector x to the feature space, φ(x i ) T is the parameter vector x i The transpose of the mapping function to the feature space, and α i is the Lagrange multiplier, K(x i ,x) is the kernel function. The specific formula derivation process can refer to the following example.

[0088] In one embodiment, the first sample pair (x j ,P j ) includes output power sample P j and parameter sample x j , the regression function scalar b is determined based on the following parameters corresponding to the first sample pair:

[0089] Output power sample P j ;

[0090] Output power tolerance ε;

[0091] Lagrange multipliers corresponding to the parameter samples in the parameter vector x and α i ;

[0092] The parameter sample x included in the parameter vector x and the first sample pair j The corresponding kernel function K(x i ,x j ).

[0093] In one implementation, the regression function scalar b is a mean value of regression function scalars respectively determined based on a plurality of sample pairs.

[0094] In one embodiment, the regression function is established by:

[0095] Parameter vector x corresponding to parameter configuration and / or channel conditions, mapping function φ(x) of parameter vector x to feature space, and regression coefficient vector ω T and regression function scalar b, establishing a first regression function of the minimum effective transmit power;

[0096] Based on the first regression function and the tolerance error, a target optimization function of support vector regression based on a kernel method is obtained;

[0097] Replacing the loss function in the objective optimization function with a slack variable to obtain a first function to be solved;

[0098] The Lagrange multiplier method is used to transform the convex optimization problem of the first function to be solved into a dual problem;

[0099] The kernel function is used to replace the mapping function and its transpose in the function for solving the dual problem, so as to obtain the second function to be solved;

[0100] Solving the second function to be solved to obtain Lagrange multipliers;

[0101] According to the relationship between the Lagrange multiplier and the regression coefficient vector, and the first regression function, a second regression function of the minimum effective transmit power is obtained.

[0102] In one implementation, according to the KKT condition that needs to be satisfied in solving the second function to be solved, a relationship between power, power sample and tolerance error is obtained;

[0103] Substituting the second regression function into the relational expression, a regression function scalar or a mean of the regression function scalars is obtained.

[0104] An example of a regression algorithm for the minimum effective transmit power of the PRACH is introduced below.

[0105] For example, based on the support vector machine regression algorithm, a calculation algorithm for a curve, a surface or a multi-dimensional hypersurface of the minimum effective transmission power of the PRACH under different conditions can be provided. The relevant process may include the following steps.

[0106] Step 1. First, determine the relevant configuration and / or channel conditions that affect the reception performance of the PRACH signal on the base station side. The relevant configuration here, taking 5G as an example, includes but is not limited to the PRACH preamble format, the sub-carrier spacing (SCS) of the PRACH preamble, the frequency band / frequency point where the PRACH carrier is located (the transmission performance of the UE RF module may be different in different frequency bands / frequency points), etc. The channel conditions here include but are not limited to the path loss from the UE to the base station, the UE's moving speed, the multipath situation of the channel, the strength of the interference signal, etc.

[0107] To facilitate subsequent calculations, the above-mentioned related configurations and / or channel conditions may be numerically represented.

[0108] Optionally, the UE may measure the RSRP (Reference Signal Receiving Power) of a downlink reference signal, and obtain a specific value of the path loss by subtracting the RSRP measured by the UE from the transmitting end reference signal power configured by the base station for the UE.

[0109] Optionally, the UE may indirectly characterize the moving speed of the UE by measuring the Doppler frequency shift of the downlink signal.

[0110] Optionally, the UE may obtain an effective window length of a time domain channel according to downlink time domain channel estimation to indirectly characterize the multipath condition of the channel.

[0111] Optionally, the UE may indirectly characterize the interference signal strength by measuring a signal to interference plus noise ratio (SINR) of a downlink signal.

[0112] Optionally, some discrete parameters may require multiple numerical variables to represent them. For example, the UE frequency band / frequency point is a multiple-choice relationship, which can be digitized using one-hot encoding. Assume that the number of frequency bands supported by the UE uplink direction is N. band , then we need to use N band variables to represent the frequency band where the UE's current PRACH signal is located. Assume that the number of the frequency band where the PRACH signal is located is n band (1n band ≤N band ), then this N band The nth variable band are set to 1, and the remaining (N band -1) variables are set to 0.

[0113] To facilitate subsequent expression, a series of variables x are used n (n=1,2,…,N) to express the above different parameters. And use the parameter vector x={x1,x2,…,x N} represents the current parameter set. Where N is a positive integer, indicating the number of all parameters.

[0114] Step 2. Under specific parameter configuration and channel conditions, that is, under the condition that all parameter values ​​in the parameter set represented by the parameter vector x remain unchanged, by adjusting the transmit power of the PRACH signal, the minimum effective transmit power of the PRACH signal corresponding to the current parameter configuration and channel conditions when the base station can successfully receive the PRACH signal is obtained. The current parameter configuration and / or channel condition is numbered i, and the parameter vector under the current parameter configuration and channel condition is x i , the minimum effective transmission power of the PRACH signal corresponding to the base station being able to successfully receive the PRACH signal under the current parameter configuration and channel conditions is P u Then the samples obtained under the current parameter configuration and channel conditions are recorded as (x i ,P i ).

[0115] Step 3. Change the relevant configuration and channel conditions that affect the reception performance of the PRACH signal at the base station side, repeat step 2, and obtain the minimum effective transmission power of the PRACH signal corresponding to the base station being able to successfully receive the PRACH signal under different parameter configurations and / or different channel conditions. The samples obtained under different parameter configurations and channel conditions are recorded as (x1, P1), (x2, P2),…, (x M ,P M ). Where M is a positive integer, representing the number of all samples.

[0116] Step 4. Based on the samples obtained in step 3, we hope to obtain a function that can fit x to P i The mapping relationship is to obtain a function f(x) such that f(x i )=P i , 1i≤M.

[0117] Optionally, when considering a linear function, we want to obtain a function of the form (Formula 1) such that f(x i ) as close to P as possible i , 1i≤M:

[0118] f(x)=ω T x+b (Formula 1)

[0119] Fitting the sample in step 3 using the function of (Formula 1) will obtain a hyperplane in a multidimensional space. Under some conditions, the parameter vector x representing different parameter configurations and channel conditions i The minimum effective transmit power P of the PRACH signal i The mapping relationship is not a strict linear relationship. At this time, the performance of this linear hyperplane regression function may not be optimal. In order to improve the regression performance, the embodiment of the present application can use a support vector regression algorithm based on a kernel function to (x i ,P i ) is used for regression fitting. The regression function based on the kernel method is shown in (Formula 2), i.e., the first regression function:

[0120] f(x)=ω T φ(x)+b (Formula 2)

[0121] Where φ(x) is the mapping function that maps the original parameter vector x to the feature space. At this time, the function obtained as shown in (Formula 2) should be as close as possible to all the sampling points (x1, P1), (x2, P2), …, (x M ,P M ).like Figure 6 shown.

[0122] Optionally, we want to fit the function f(x i )=ω T φ(x i )+b and P i The error of is within a small constant ε, that is, the tolerance error. That is, when (x i ,P i ) falls on Figure 6 When the area between the two curves f(x)+∈ and f(x)-∈ is in the middle, the regression function can be considered to have no loss; when (x i ,P i ) falls on Figure 6 When the region outside the two curves f(x)+∈ and f(x)-∈ is considered to be a regression function with loss, an example of the target optimization function of support vector regression based on the kernel method is:

[0123]

[0124] Where C is the regularization constant, l ε (z) is the ε-insensitive loss function, which can be in the following form:

[0125]

[0126] The ε-insensitive loss function selected in Formula 3 is only one of the optional options. In practical applications, other loss functions can also be selected, such as squared loss, Huber loss, etc., as shown in (Formula 5) and (Formula 6) respectively:

[0127] Squared Loss: l(z) = z 2 (Formula 5)

[0128] Huber Loss (Squared Loss):

[0129] Here, the ε-insensitive loss function is used to illustrate the subsequent processing flow of this solution.

[0130] Introducing the slack variable ξ i and Right now Figure 6 The two rigid boundaries represented by f(x)+ε and f(x)-ε in the equation become f(x)+ε+ξ i and The non-rigid boundary represented by . At this time (Formula 3) can be re-expressed as:

[0131]

[0132] The solution of the problem shown in (Formula 8), i.e., the first function to be solved, is a convex optimization problem. The Lagrange multiplier method can be used to convert the solution of the convex optimization problem into the solution of the dual problem. For example, the specific process is as follows.

[0133] First construct the Lagrangian function:

[0134]

[0135] where α=(α1;α2;…α M ), ξ=(ξ1;ξ2;…ξ M ), β=(β1;β2;…β M ), in, is a Lagrange multiplier and must satisfy α i ≥0, β i ≥0,

[0136] The function shown in (Formula 9) is obtained with respect to ω, b, ξ i , Taking the partial derivative of and setting the derivative to 0, we can get:

[0137]

[0138]

[0139] α i +β i =C (Formula 12)

[0140]

[0141] Substituting (Formula 10), (Formula 11), (Formula 12), and (Formula 13) into (Formula 9) and taking their maximum values, we can obtain the dual problem of the original problem shown in (Formula 8), as shown in (Formula 14):

[0142]

[0143] In the process of solving (Formula 14), that is, solving the function of the dual problem, it is necessary to calculate φ(x i ) T φ(x j The kernel function-based method selects a suitable kernel function K(x i ,x j ) to replace φ(x i ) T φ(x j ), without the need to separately know the analytical form of the feature mapping function φ(x). There are many options for kernel functions, which are not specifically limited in the embodiments of the present application, such as linear kernels, Gaussian kernels, etc., as shown below:

[0144] Linear kernel: K(x i ,x j )=x i T x j (Formula 15)

[0145] Gaussian Kernel: σ (σ>0) is the Gaussian kernel bandwidth (Formula 16)

[0146] After selecting the kernel function, (Formula 14) can be transformed into the following form:

[0147]

[0148] Solving (Formula 17), that is, the second function to be solved, we can get the Lagrange multiplier α i and i=1,2,…,M.

[0149] α i and Substitute (Formula 10) into (Formula 2), and the regression function is as follows:

[0150]

[0151] The above process gives α i and The solution method.

[0152] In addition, it is also necessary to solve the solution of b in (Formula 18). There are many ways to solve b. One optional step is as follows. In order to make the solution of the dual problem shown in (Formula 14) / (Formula 17) exactly the solution of the original problem shown in (Formula 8), the following KKT conditions (Karush Kuhn Tucker conditions) need to be met. This condition needs to satisfy Formulas 19 to 24 when solving the problem shown in (Formula 17):

[0153] α i (f(x i )-P i -ε-ξ i )=0 (Formula 19)

[0154]

[0155]

[0156]

[0157] (C-α i )ξ i =0 (Formula 23)

[0158]

[0159] It can be seen from (Formula 19) that when α i ≠0, we can get:

[0160] f(x i )-P i -ε-ξ i =0 (Formula 25)

[0161] It can be seen from (Formula 23) that when α i ≠C, we can get:

[0162] ξ i =0 (Formula 26)

[0163] So for all conditions that satisfy 0<α j <α of C j And the corresponding sample (x j,P j ), we can get:

[0164] f(x j )=P j -ε (Formula 27)

[0165] Substituting (Formula 18) into (Formula 27), we can obtain:

[0166]

[0167] Among them, (x j ,P j ) can be any pair of samples among the samples obtained in step 3. Based on each pair of samples, a corresponding b can be calculated.

[0168] Furthermore, a more robust method can be used to obtain b, that is, for all conditions that satisfy 0<α j <α of C j And the corresponding sample (x j ,P j ), and find the average of b obtained according to (Formula 28):

[0169]

[0170] Where L satisfies the condition 0<α j <C's sample size.

[0171] In summary, we get α i and After solving for and b, substitute into (Formula 18) to get the final regression function.

[0172] In an embodiment of the present application, a support vector machine regression based on a kernel method is used to regress and estimate the minimum effective transmit power of a PRACH signal under different parameter configurations and / or channel conditions. The estimated minimum effective transmit power can be compared with the transmit power before the PRACH signal power is limited to determine whether to stop the PRACH power climb count.

[0173] Based on the above regression function, the power ramp-up judgment process when the PRACH power is limited can be performed. Figure 7 As shown, based on the above regression function, it is determined whether to increase the count value of the PRACH power ramp counter. The relevant steps are as follows.

[0174] S710. Based on the above algorithm, a regression function for calculating the minimum effective transmit power of the PRACH signal under different parameter configurations and / or channel conditions is obtained in advance, such as the formula shown in (Formula 18).

[0175] S720: Determine whether the transmit power of the PRACH signal is limited due to the simultaneous transmission of multi-carrier signals. If yes, execute S730 to obtain the minimum effective transmit power of the PRACH signal under the current parameter configuration and channel conditions, otherwise execute step 760 without suspending the current PRACH power ramp count.

[0176] S730, when the transmit power of the PRACH signal is limited due to the simultaneous transmission of multi-carrier signals, obtain a parameter vector x representing the current parameter configuration and channel conditions, substitute x into the corresponding formula (Formula 18) under the current parameter configuration and channel conditions, and obtain the minimum effective transmit power of the PRACH signal under the current parameter configuration and channel conditions, denoted as P Min .

[0177] S740: Determine whether the transmission power of the signal before the current PRACH is restricted is greater than or equal to the minimum effective transmission power P Min If the transmission power of the signal before the current PRACH is restricted is greater than or equal to P Min , then execute S750 to suspend the current PRACH power ramp count. If the transmission power of the signal before the current PRACH is restricted is less than P Min , then execute step 760 without pausing the current PRACH power ramp count.

[0178] The above process is as follows Figure 7 shown.

[0179] In an embodiment of the present application, when the transmission power of the PRACH signal is limited due to the simultaneous transmission of multi-carrier signals, the present solution can be used to accurately determine whether the transmission power of the current PRACH signal before being restricted can meet the requirements according to the relevant parameter configuration and channel conditions, and then determine whether it is necessary to suspend the current PRACH power rise count. Stopping the PRACH power rise count on the premise that the signal transmission power before the PRACH signal is restricted can meet the requirements can reduce the transmission power of the wireless communication terminal without affecting the successful reception of the PRACH on the base station side, which can save power consumption and reduce interference to other wireless communication terminals.

[0180] In an embodiment of the present application, an algorithm for estimating the minimum effective transmit power of a PRACH signal under different parameter configurations and / or channel conditions using support vector machine regression based on a kernel method can be used to estimate the minimum effective transmit power of the PRACH in any scenario, and is not limited to scenarios where the transmit power of the PRACH signal is limited during multi-carrier transmission.

[0181] In an embodiment of the present application, a support vector machine regression algorithm based on a kernel method is used to perform regression estimation on the minimum effective transmit power of other signals (such as PUSCH, PUCCH, PDSCH) under different parameter configurations and / or channel conditions. The estimation results can be used to assist in the scheduling of subsequent physical layer resources and parameters.

[0182] Figure 8 800 is a schematic block diagram of a terminal device 800 according to an embodiment of the present application. The terminal device 800 may include:

[0183] The processing unit 810 is configured to obtain a minimum effective transmit power of the first signal according to the transmit power impact information.

[0184] In one implementation, the first signal may be at least one of a PRACH signal, a PUSCH signal, a PUCCH signal, and a PDSCH signal.

[0185] In an implementation manner, the processing unit 810 is further configured to suspend a power ramp count of the PRACH signal when the transmit power of the PRACH signal is greater than or equal to a minimum effective transmit power of the PRACH signal.

[0186] In an implementation manner, the processing unit 810 is further configured to perform a power ramp count of the PRACH signal when the transmit power of the PRACH signal is less than a minimum effective transmit power of the PRACH signal.

[0187] In an implementation manner, the processing unit 810 is further configured to execute the step of acquiring the lowest effective transmit power of the PRACH signal when the transmit power of the PRACH signal is limited due to simultaneous transmission of multiple carrier signals.

[0188] In an implementation manner, the processing unit 810 is further configured to perform a power ramp count of the PRACH signal when the transmit power of the PRACH signal is not limited due to simultaneous transmission of multiple carrier signals.

[0189] In one embodiment, the transmit power impact information includes configuration parameters and / or channel conditions;

[0190] The configuration parameters include common configuration parameters of the cell and / or parameters related to the first signal configured by the network device for the terminal device;

[0191] The channel conditions include at least one of the path loss from the terminal device to the network device, the moving speed of the terminal device, the multipath condition of the channel, the interference signal strength, and the transmission performance of the radio frequency module of the terminal device in different frequency bands or different frequency points.

[0192] In one implementation, the processing unit 810 is further configured to obtain a regression function for calculating a minimum effective transmit power of the first signal, such as a PRACH signal.

[0193] In one embodiment, the regression function of the minimum effective transmit power is established based on at least one of the following:

[0194] Parameter vector x corresponding to parameter configuration and / or channel conditions;

[0195] The mapping function φ(x) that maps the parameter vector x to the feature space;

[0196] Regression coefficient vector ω T ;

[0197] regression function scalar b;

[0198] The transpose of the mapping function φ(x) i ) T ;

[0199] Parameter sample x in parameter vector x i The corresponding kernel function K(x i ,x);

[0200] Lagrange multipliers corresponding to the parameter samples in the parameter vector x and α i .

[0201] In one embodiment, the first sample pair includes an output power sample P j and parameter sample x j , the regression function scalar b is determined based on the following parameters corresponding to the first sample pair:

[0202] Output power sample P j ;

[0203] Output power tolerance ε;

[0204] Lagrange multipliers corresponding to the parameter samples in the parameter vector x and α i ;

[0205] The parameter sample x included in the parameter vector x and the first sample pair j The corresponding kernel function K(x i ,x j ).

[0206] In one implementation, the regression function scalar b is a mean value of regression function scalars respectively determined based on a plurality of sample pairs.

[0207] In one embodiment, the regression function is established by:

[0208] Parameter vector x corresponding to parameter configuration and / or channel conditions, mapping function φ(x) of parameter vector x to feature space, and regression coefficient vector ω T and regression function scalar b, establishing a first regression function of the minimum effective transmit power;

[0209] Based on the first regression function and the tolerance error, a target optimization function based on support vector regression of the core terminal device is obtained;

[0210] Replacing the loss function in the objective optimization function with a slack variable to obtain a first function to be solved;

[0211] The Lagrange multiplier method is used to transform the convex optimization problem of the first function to be solved into a dual problem;

[0212] The kernel function is used to replace the mapping function and its transpose in the function for solving the dual problem, so as to obtain the second function to be solved;

[0213] Solving the second function to be solved to obtain Lagrange multipliers;

[0214] According to the relationship between the Lagrange multiplier and the regression coefficient vector, and the first regression function, a second regression function of the minimum effective transmit power is obtained.

[0215] In one embodiment, the method for obtaining the regression function scalar includes:

[0216] According to the KKT condition that needs to be satisfied in solving the second function to be solved, a relationship between power, power sample and tolerance error is obtained;

[0217] Substituting the second regression function into the relational expression, a regression function scalar or a mean of the regression function scalars is obtained.

[0218] In an embodiment of the present application, the units of the above-mentioned terminal device may implement the functions of each unit in the form of software, hardware, or a combination of software and hardware. In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods may be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection of devices or units, which may be electrical, mechanical or other forms.

[0219] The units described as separate components may or may not be physically separated, and the components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0220] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. For example, the processing unit 810 of the terminal device can be implemented by the processor of the terminal device. Among them, the processor of the terminal device can call and run a computer program from the memory of the terminal device so that the terminal device implements the method in the embodiment of the present application. The processor can also control the transceiver of the terminal device to communicate with other devices, specifically, it can send information or data to other devices, or receive information or data sent by other devices.

[0221] The terminal device 800 of the embodiment of the present application can implement the corresponding functions of the terminal device in the aforementioned method embodiment. The processes, functions, implementation methods and beneficial effects corresponding to the various modules (sub-modules, units or components, etc.) in the terminal device 800 can be found in the corresponding descriptions in the above method embodiments, which will not be repeated here. It should be noted that the functions described by the various modules (sub-modules, units or components, etc.) in the terminal device 800 of the embodiment of the application can be implemented by different modules (sub-modules, units or components, etc.), or by the same module (sub-module, unit or component, etc.).

[0222] Fig. 9 9 is a schematic structural diagram of a communication device 900 according to an embodiment of the present application. The communication device 900 includes a processor 910, and the processor 910 can call and run a computer program from a memory to enable the communication device 900 to implement the method in the embodiment of the present application.

[0223] In one implementation, the communication device 900 may further include a memory 920. The processor 910 may call and run a computer program from the memory 920 to enable the communication device 900 to implement the method in the embodiment of the present application.

[0224] The memory 920 may be a separate device independent of the processor 910 , or may be integrated into the processor 910 .

[0225] In one implementation, the communication device 900 may further include a transceiver 930, and the processor 910 may control the transceiver 930 to communicate with other devices, specifically, may send information or data to other devices, or receive information or data sent by other devices.

[0226] The transceiver 930 may include a transmitter and a receiver. The transceiver 930 may further include an antenna, and the number of antennas may be one or more.

[0227] In one implementation, the communication device 900 may be a terminal device of an embodiment of the present application, and the communication device 900 may implement the corresponding processes implemented by the terminal device in each method of the embodiment of the present application, which will not be described in detail here for the sake of brevity.

[0228] Fig.10 1 is a schematic structural diagram of a chip 1000 according to an embodiment of the present application. The chip 1000 includes a processor 1010, and the processor 1010 can call and run a computer program from a memory to implement the method in the embodiment of the present application.

[0229] In one implementation, the chip 1000 may further include a memory 1020. The processor 1010 may call and run a computer program from the memory 1020 to implement the method executed by the terminal device or the network device in the embodiment of the present application.

[0230] The memory 1020 may be a separate device independent of the processor 1010 , or may be integrated into the processor 1010 .

[0231] In one implementation, the chip 1000 may further include an input interface 1030. The processor 1010 may control the input interface 1030 to communicate with other devices or chips, and specifically, may obtain information or data sent by other devices or chips.

[0232] In one implementation, the chip 1000 may further include an output interface 1040. The processor 1010 may control the output interface 1040 to communicate with other devices or chips, and specifically, may output information or data to other devices or chips.

[0233] In one implementation, the chip can be applied to the terminal device in the embodiments of the present application, and the chip can implement the corresponding processes implemented by the terminal device in the various methods of the embodiments of the present application. For the sake of brevity, they will not be repeated here.

[0234] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0235] The processor mentioned above may be a general-purpose processor, a digital signal processor (DSP), a field programmable gate array (FPGA), an application specific integrated circuit (ASIC) or other programmable logic devices, transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor mentioned above may be a microprocessor or any conventional processor, etc.

[0236] The memory mentioned above may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable ROM (PROM), an erasable programmable ROM (EPROM), an electrically erasable programmable ROM (EEPROM) or a flash memory. The volatile memory may be a random access memory (RAM).

[0237] It should be understood that the above-mentioned memory is exemplary but not restrictive. For example, the memory in the embodiments of the present application may also be static random access memory (static RAM, SRAM), dynamic random access memory (dynamic RAM, DRAM), synchronous dynamic random access memory (synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (double data rate SDRAM, DDR SDRAM), enhanced synchronous dynamic random access memory (enhanced SDRAM, ESDRAM), synchronous link dynamic random access memory (synch link DRAM, SLDRAM) and direct memory bus random access memory (Direct Rambus RAM, DR RAM), etc. That is to say, the memory in the embodiments of the present application is intended to include but not limited to these and any other suitable types of memory.

[0238] Fig.11 1 is a schematic block diagram of a communication system 1100 according to an embodiment of the present application. The communication system 1100 includes a terminal device 1110 and a network device 1120.

[0239] The terminal device 1110 is used to obtain the minimum effective transmission power of the random access channel PRACH signal according to the transmission power impact information.

[0240] The network device 1120 is used to receive the PRACH signal sent by the terminal device.

[0241] The terminal device 1110 can be used to implement the corresponding functions implemented by the terminal device in the above method, and the network device 1120 can be used to implement the corresponding functions implemented by the network device in the above method. For the sake of brevity, they will not be described in detail here.

[0242] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function in accordance with the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (Digital Subscriber Line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server, data center, etc. that contains one or more available media integrations. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a DVD), or a semiconductor medium (eg, a solid state disk (SSD)).

[0243] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0244] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0245] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A transmission power control method, comprising: The terminal device obtains the minimum effective transmission power of the first signal according to the transmission power impact information; When the transmission power of the first signal is greater than or equal to the minimum effective transmission power of the first signal, the terminal device suspends the power climbing count of the first signal.

2. The method according to claim 1, wherein: The method further comprises: The terminal device performs power ramp counting of the first signal when the transmission power of the first signal is less than the minimum effective transmission power of the first signal.

3. The method according to claim 1, wherein: The method further comprises: The terminal device performs the step of acquiring the lowest effective transmission power of the first signal when the transmission power of the first signal is limited due to simultaneous transmission of multiple carrier signals.

4. The method according to claim 1, wherein: The method further comprises: The terminal device performs power ramp counting of the first signal when the transmission power of the first signal is not limited due to simultaneous transmission of multiple carrier signals.

5. The method according to claim 1, wherein: The transmit power impact information includes configuration parameters and / or channel conditions; The configuration parameters include common configuration parameters of the cell and / or parameters related to the first signal configured by the network device for the terminal device; The channel conditions include at least one of the path loss from the terminal device to the network device, the moving speed of the terminal device, the multipath condition of the channel, the interference signal strength, and the transmission performance of the radio frequency module of the terminal device in different frequency bands or different frequency points.

6. The method according to claim 1, wherein: The method further comprises: A regression function for calculating the minimum effective transmit power of the first signal is obtained.

7. The method according to claim 6, wherein: The regression function of the minimum effective transmit power is established based on at least one of the following: parameter configuration and / or parameter vector corresponding to channel conditions; Mapping function that maps parameter vector to feature space; regression coefficient vector; Regression function scalar; Transpose of the mapping function; The kernel function corresponding to the parameter samples in the parameter vector; The Lagrange multipliers corresponding to the parameter samples in the parameter vector.

8. The method according to claim 7, wherein: The first sample pair includes an output power sample and a parameter sample, and the regression function scalar is determined based on the following parameters corresponding to the first sample pair: Output power samples; Output power tolerance; The Lagrange multipliers corresponding to the parameter samples in the parameter vector; The kernel function corresponding to the parameter sample included in the first sample pair in the parameter vector.

9. The method according to claim 7, wherein: The regression function scalar is a mean value of regression function scalars respectively determined based on a plurality of sample pairs.

10. The method according to any one of claims 7 to 9, wherein: The regression function is established in the following manner: Establishing a first regression function for minimum effective transmit power based on a parameter vector corresponding to the parameter configuration and / or channel condition, a mapping function of the parameter vector to the feature space, a regression coefficient vector, and a regression function scalar; Based on the first regression function and the tolerance error, a target optimization function of support vector regression based on a kernel method is obtained; Replacing the loss function in the objective optimization function with a slack variable to obtain a first function to be solved; The Lagrange multiplier method is used to transform the convex optimization problem of the first function to be solved into a dual problem; The kernel function is used to replace the mapping function and its transpose in the function for solving the dual problem, so as to obtain the second function to be solved; Solving the second function to be solved to obtain Lagrange multipliers; According to the relationship between the Lagrange multiplier and the regression coefficient vector, and the first regression function, a second regression function of the minimum effective transmit power is obtained.

11. The method according to claim 10, wherein: The method for obtaining the regression function scalar includes: According to the KKT condition that needs to be satisfied in solving the second function to be solved, a relationship between power, power sample and tolerance error is obtained; Substituting the second regression function into the relational expression, a regression function scalar or a mean of the regression function scalars is obtained.

12. The method according to any one of claims 1 to 9, wherein: The first signal is at least one of a physical random access channel PRACH signal, a physical uplink shared channel PUSCH signal, a physical uplink control channel PUCCH signal, and a physical downlink shared channel PDSCH signal.

13. A terminal device, comprising: A processing unit, used to obtain the minimum effective transmission power of the first signal according to the transmission power impact information; wherein, the processing unit is also used to suspend the power climbing count of the first signal when the transmission power of the first signal is greater than or equal to the minimum effective transmission power of the first signal.

14. The terminal device according to claim 13, wherein: The processing unit is further configured to perform power ramp counting of the first signal when the transmission power of the first signal is less than the minimum effective transmission power of the first signal.

15. The terminal device according to claim 13, wherein: The processing unit is further configured to execute the step of acquiring the lowest effective transmission power of the first signal when the transmission power of the first signal is limited due to simultaneous transmission of multi-carrier signals.

16. The terminal device according to claim 13, wherein: The processing unit is further configured to perform power ramp counting of the first signal when the transmission power of the first signal is not limited due to simultaneous transmission of multiple carrier signals.

17. The terminal device according to claim 13, wherein: The transmit power impact information includes configuration parameters and / or channel conditions; The configuration parameters include common configuration parameters of a cell and / or parameters related to the first signal configured by a network device for the terminal device; The channel conditions include at least one of the path loss from the terminal device to the network device, the moving speed of the terminal device, the multipath condition of the channel, the interference signal strength, and the transmission performance of the radio frequency module of the terminal device in different frequency bands or different frequency points.

18. The terminal device according to claim 13, wherein: The processing unit is further used to obtain a regression function for calculating the minimum effective transmission power of the first signal.

19. The terminal device according to claim 18, wherein: The regression function of the minimum effective transmit power is established based on at least one of the following: parameter configuration and / or parameter vector corresponding to channel conditions; Mapping function that maps parameter vector to feature space; regression coefficient vector; Regression function scalar; Transpose of the mapping function; The kernel function corresponding to the parameter samples in the parameter vector; The Lagrange multipliers corresponding to the parameter samples in the parameter vector.

20. The terminal device according to claim 19, wherein: The first sample pair includes an output power sample and a parameter sample, and the regression function scalar is determined based on the following parameters corresponding to the first sample pair: Output power samples; Output power tolerance; The Lagrange multipliers corresponding to the parameter samples in the parameter vector; The kernel function corresponding to the parameter sample included in the first sample pair in the parameter vector.

21. The terminal device according to claim 19, wherein: The regression function scalar is a mean value of regression function scalars respectively determined based on a plurality of sample pairs.

22. The terminal device according to any one of claims 19 to 21, wherein: The regression function is established in the following manner: Establishing a first regression function for minimum effective transmit power based on a parameter vector corresponding to the parameter configuration and / or channel condition, a mapping function of the parameter vector to the feature space, a regression coefficient vector, and a regression function scalar; Based on the first regression function and the tolerance error, a target optimization function based on support vector regression of the core terminal device is obtained; Replacing the loss function in the objective optimization function with a slack variable to obtain a first function to be solved; The Lagrange multiplier method is used to transform the convex optimization problem of the first function to be solved into a dual problem; The kernel function is used to replace the mapping function and its transpose in the function for solving the dual problem, so as to obtain the second function to be solved; Solving the second function to be solved to obtain Lagrange multipliers; According to the relationship between the Lagrange multiplier and the regression coefficient vector, and the first regression function, a second regression function of the minimum effective transmit power is obtained.

23. The terminal device according to claim 22, wherein: The method for obtaining the regression function scalar includes: According to the KKT condition that needs to be satisfied in solving the second function to be solved, a relationship between power, power sample and tolerance error is obtained; Substituting the second regression function into the relational expression, a regression function scalar or a mean of the regression function scalars is obtained.

24. The terminal device according to any one of claims 13 to 21, wherein: The first signal is at least one of a PRACH signal, a PUSCH signal, a PUCCH signal, and a PDSCH signal.

25. A terminal device, comprising: A processor and a memory, the memory being used to store a computer program, the processor being used to call and run the computer program stored in the memory, so that the terminal device executes the method as claimed in any one of claims 1 to 12.

26. A chip, comprising: A processor, configured to call and run a computer program from a memory, so that a device equipped with the chip executes a method as claimed in any one of claims 1 to 12.

27. A computer-readable storage medium for storing a computer program, which, when executed by a device, causes the device to perform the method according to any one of claims 1 to 12.

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