Antenna configuration optimization method and device, storage medium and program product

Abstract

The invention provides an antenna configuration optimization method and device, a storage medium and a program product, relates to the technical field of communication, and is used for reducing the power consumption of terminal equipment in a beam scanning process. The method comprises the following steps: traversing a preset antenna number configuration scheme set, and determining an antenna number configuration scheme meeting a constraint condition as an optimal antenna number configuration scheme; the constraint condition comprises the lowest energy consumption of the terminal equipment in the target coverage area of the base station in the beam scanning process, and the signal quality of the terminal equipment in the target coverage area of the base station is greater than or equal to a preset signal quality threshold value; and optimizing the number of antennas of the base station based on the optimal antenna number configuration scheme.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to an antenna configuration optimization method, device, storage medium and program product. Background Art

[0002] With the rapid development of lightweight 5G (Reduced Capability, RedCap) technology, RedCap terminals play an important role in more fields, promoting the widespread application and in-depth development of the fifth generation mobile communication technology (5th Generation Mobile Communication Technology, 5G). In wireless communication systems, RedCap base stations and RedCap terminals are important components of wireless access networks, and they communicate with each other.

[0003] In the RedCap scenario, beam management plays a vital role in the communication between terminal devices and base stations. Beam management periodically and continuously transmits and receives control signals in the form of synchronization signal blocks (SSB) for random access and channel estimation. However, the beam management process requires continuous energy consumption. For low-cost, low-complexity, battery-constrained terminal devices, it is impossible to maintain communication with the base station, and the energy consumption of communication between the terminal device and the base station is too high. Summary of the invention

[0004] The present application provides an antenna configuration optimization method, device, storage medium and program product for reducing the power consumption of a terminal device during beam scanning.

[0005] In a first aspect, the present application provides an antenna configuration optimization method, comprising: traversing a preset set of antenna number configuration schemes, and determining that an antenna number configuration scheme that satisfies constraints is an optimal antenna number configuration scheme; the constraints include: the energy consumption of terminal devices in the target coverage area of ​​the base station is the lowest during the beam scanning process, and the signal quality of the terminal devices in the target coverage area of ​​the base station is greater than or equal to a preset signal quality threshold; based on the optimal antenna number configuration scheme, optimizing the number of antennas of the base station.

[0006] It can be understood that the antenna configuration optimization method provided by this application determines that the antenna number configuration scheme that meets the constraint conditions is the optimal antenna number configuration scheme, which converts the problem of reducing the energy consumption of the terminal equipment into the problem of optimizing the number of antennas, can effectively avoid the over-simplification of the base station infrastructure, improve the data processing capacity of the base station, and also reduce the development of special low-power devices, saving costs and increasing the versatility and flexibility of the wireless communication system. Based on the optimal antenna number configuration scheme, the number of antennas of the base station is optimized, the utilization rate of the base station antenna resources is increased, and the waste of antenna resources is reduced.

[0007] In one possible implementation method, the energy consumption of the terminal equipment in the target coverage area of ​​the base station during the beam scanning process is determined based on the following parameters: the time required for the base station to send a beam to the target coverage area and the energy consumption of the terminal equipment in the target coverage area; wherein, the time required for the base station to send a beam to the target coverage area is related to the number of antennas of the base station.

[0008] Another possible implementation method is that the time required for the base station to send a beam to the target coverage area is determined based on the number of beams that the base station needs to send when performing beam scanning on the target coverage area, and the time required to send one beam; wherein, the number of beams that the base station needs to send when performing beam scanning on the target coverage area is determined based on the beam coverage width, and the beam coverage width is determined based on the number of antennas of the base station.

[0009] Another possible implementation is that the signal quality of the terminal device in the target coverage area of ​​the base station is determined by the signal-to-noise ratio of the terminal device; the signal-to-noise ratio of the terminal device is related to the receiving gain of the terminal device; the receiving gain of the terminal device is affected by the number of antennas of the base station.

[0010] In another possible implementation, the receiving gain of the terminal device is determined based on the angular offset of the terminal device during beam management and the number of antennas of the base station.

[0011] In another possible implementation, the angular offset of the terminal device during beam management is determined by an initial angular offset of the terminal device relative to the antenna axis direction of the base station and a moving angular offset caused by mobility of the terminal device during beam management.

[0012] In another possible implementation, the mobile angle offset is determined based on the moving speed of the terminal device, the duration of the beam management period, and the distance between the terminal device and the base station.

[0013] In the second aspect, the present application provides an antenna configuration optimization device, including a processing module and an optimization module; the processing module is used to traverse a preset antenna number configuration scheme set, and determine that the antenna number configuration scheme that meets the constraint conditions is the optimal antenna number configuration scheme; the constraint conditions include: the terminal equipment in the target coverage area of ​​the base station has the lowest energy consumption during the beam scanning process, and the signal quality of the terminal equipment in the target coverage area of ​​the base station is greater than or equal to a preset signal quality threshold; the optimization module is used to optimize the number of antennas of the base station based on the optimal antenna number configuration scheme.

[0014] In one possible implementation method, the energy consumption of the terminal equipment in the target coverage area of ​​the base station during the beam scanning process is determined based on the following parameters: the time required for the base station to send a beam to the target coverage area and the energy consumption of the terminal equipment in the target coverage area; wherein, the time required for the base station to send a beam to the target coverage area is related to the number of antennas of the base station.

[0015] Another possible implementation method is that the time required for the base station to send a beam to the target coverage area is determined based on the number of beams that the base station needs to send when performing beam scanning on the target coverage area, and the time required to send one beam; wherein, the number of beams that the base station needs to send when performing beam scanning on the target coverage area is determined based on the beam coverage width, and the beam coverage width is determined based on the number of antennas of the base station.

[0016] Another possible implementation is that the signal quality of the terminal device in the target coverage area of ​​the base station is determined by the signal-to-noise ratio of the terminal device; the signal-to-noise ratio of the terminal device is related to the receiving gain of the terminal device; the receiving gain of the terminal device is affected by the number of antennas of the base station.

[0017] In another possible implementation, the receiving gain of the terminal device is determined based on the angular offset of the terminal device during beam management and the number of antennas of the base station.

[0018] In another possible implementation, the angular offset of the terminal device during beam management is determined by an initial angular offset of the terminal device relative to the antenna axis direction of the base station and a moving angular offset caused by mobility of the terminal device during beam management.

[0019] In another possible implementation, the mobile angle offset is determined based on the moving speed of the terminal device, the duration of the beam management period, and the distance between the terminal device and the base station.

[0020] In a third aspect, the present application provides a device, comprising: a processor and a memory; the memory stores instructions executable by the processor; when the processor is configured to execute the instructions, the device implements the method of the first aspect above.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium, which includes: computer software instructions; when the computer software instructions are executed in an electronic device, the electronic device implements the method of the first aspect above.

[0022] In a fifth aspect, the present application provides a computer program product, which includes a computer program; when the computer program runs in an electronic device, the electronic device implements the method of the first aspect.

[0023] The beneficial effects of the second to fifth aspects mentioned above refer to the corresponding description of the first aspect and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A schematic diagram of an application environment of an antenna configuration optimization method provided in this application;

[0025] Figure 2 A schematic diagram of a flow chart of an antenna configuration optimization method provided in this application;

[0026] Figure 3 A flowchart of another antenna configuration optimization method provided in this application;

[0027] Figure 4 A schematic diagram of the composition of an antenna configuration optimization device provided in this application;

[0028] Figure 5 A schematic diagram of the structure of a device provided in this application. DETAILED DESCRIPTION

[0029] The following is a detailed description of an antenna configuration optimization method provided by the present application in conjunction with the accompanying drawings.

[0030] The term "and / or" in this article is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone.

[0031] The terms "first" and "second" and the like in the specification and drawings of this application are used to distinguish different objects, or to distinguish different processing of the same object, rather than to describe a specific order of objects.

[0032] In addition, the terms "including" and "having" and any variations thereof mentioned in the description of the present application are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include other steps or units that are not listed, or may optionally include other steps or units that are inherent to these processes, methods, products or devices.

[0033] It should be noted that, in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0034] In order to facilitate the clear description of the technical solutions of the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" are used to distinguish between identical items or similar items with basically the same functions and effects. Those skilled in the art can understand that words such as "first" and "second" do not limit the quantity and execution order.

[0035] In the description of the present application, unless otherwise specified, “plurality” means two or more.

[0036] RedCap is mainly used in wireless communication systems, including RedCap base stations and RedCap terminal devices. RedCap base stations can connect multiple RedCap terminals. For example, RedCap terminals include smart sensors, wearable devices, mobile devices, smart furniture devices and vehicles, etc. RedCap is suitable for scenarios such as smart cities, industrial automation, remote monitoring and agriculture.

[0037] Beam management plays a vital role when a RedCap base station communicates with a RedCap terminal, but the process of beam management requires continuous energy consumption and cannot be used for low-cost, low-complexity, battery-constrained terminal devices.

[0038] In the current RedCap scenario, the complexity of data processing and transmission can be reduced by adopting a simpler air interface program and protocol stack design; or, by introducing technologies such as enhanced discontinuous reception characteristics, the terminal device can enter a sleep state when it does not need to continuously monitor the signal, thereby reducing unnecessary energy consumption; or, by extending the sleep cycle of the terminal device and improving the endurance of the terminal device; or, by developing a special low-power RedCap receiver and using advanced technology and materials to improve the energy efficiency of the terminal device. However, overly simplified designs affect the flexibility and adaptability of communications, and the cost of developing special low-power devices is too high, which has certain limitations.

[0039] In response to the above technical problems, this application provides an antenna configuration optimization method, the idea of ​​which is to traverse a set of preset antenna number configuration schemes, determine the antenna number configuration scheme that meets the energy consumption and signal quality requirements as the optimal antenna number configuration scheme, and transform the problem of reducing the energy consumption of the terminal device into the problem of optimizing the number of antennas, avoiding the over-simplification of the base station infrastructure, improving the data processing capacity of the base station, and at the same time reducing the development of special low-power devices, saving costs, and increasing the versatility and flexibility of the wireless communication system. Based on the optimal antenna number configuration scheme, the number of antennas of the base station is optimized, the utilization rate of the base station antenna resources is increased, and the waste of antenna resources is reduced.

[0040] The embodiments provided in this application are described in detail below in conjunction with the accompanying drawings.

[0041] Figure 1 This is a schematic diagram of the application environment involved in the antenna configuration method provided in this application. Figure 1 As shown, the application environment includes: a base station and a terminal device.

[0042] In some embodiments, there are one or more terminals within the target coverage area of ​​the base station, and the base station sends an SSB periodic signal to the target coverage area for beam management.

[0043] For example, according to the mobile communication technology standard (Third Generation Partnership Project, 3Gpp) protocol setting, each beam (SSB) occupies 4 orthogonal frequency division multiplexing (OFDM) symbols in the time domain and 240 subcarriers in the frequency domain. Among them, in the 5G communication system, an OFDM symbol represents a data transmission unit within a period of time, a resource block usually contains 12 subcarriers, and the 240 subcarriers occupied by SSB can be divided into 20 resource blocks.

[0044] It should be noted that 3GPP is a cooperative organization composed of national communication standardization organizations, mobile communication manufacturers and other related industry associations, dedicated to formulating and publishing mobile communication technology standards. The 3GPP protocol is a series of mobile communication technology standards formulated by this organization, covering the standards of multiple mobile communication systems such as the Global System for Mobile Communications (GSM), Universal Mobile Telecommunications System (UMTS), Long Term Evolution (LTE), and 5G, including network architecture, wireless access technology, core network technology, security mechanisms and other aspects.

[0045] Exemplarily, SSBs can be aggregated into SSB burst sets for initial access and network synchronization of terminal devices. An SSB burst set consists of NSS SSBs, and the periodicity between consecutive SSB burst sets is defined by TSS. NSS is used to indicate the number of SSBs in an SSB burst set. NSS can take values ​​from {8, 16, 32, 64}, and TSS can take values ​​from {5, 10, 20, 40, 80, 160}. The unit of TSS can be milliseconds.

[0046] It should be noted that the value set of NSS and TSS is determined according to the 3GPP protocol and can be changed according to actual conditions, and is not limited here.

[0047] It can be understood that the use of beamforming technology increases the coverage distance of wireless signals while improving the directionality and transmission efficiency of the beam.

[0048] In some embodiments, the base station may be a base station with RedCap functionality (ie, a RedCap base station), and the RedCap base station may connect to one or more terminal devices within a target range.

[0049] Exemplarily, the base station can be a base station or an evolved base station (eNB or eNodeB) in long term evolution (LTE), long term evolution advanced (LTEA), a base station device in a 5G network, or a base station in a future communication system, etc. The base station can include various macro base stations, micro base stations, home base stations, wireless remote stations, reconfigurable intelligent surfaces (RIS), routers, wireless fidelity (WIFI) devices, and other network side devices.

[0050] In some embodiments, the terminal device may be a terminal with RedCap function, accessing the network through a base station.

[0051] Exemplarily, the terminal device may be a device with wireless transceiver functions, such as a mobile phone, a tablet computer, a wearable device, a vehicle-mounted device, an augmented reality (AR) / virtual reality (VR) device, a notebook computer, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), etc. The embodiments of the present application do not limit the specific device form of the terminal device. Figure 1 In the figure, the terminal device is a mobile phone terminal as an example.

[0052] It can be understood that based on the antenna configuration optimization method provided in the embodiment of the present application, an antenna number configuration scheme that meets the energy consumption and signal quality requirements of the terminal device can be determined, and then the antenna number configuration scheme can be optimized based on the antenna number configuration scheme. Figure 1 The number of antennas of the base station in the scenario shown.

[0053] In some embodiments, the antenna configuration optimization method provided in the embodiments of the present application can be executed by an electronic device or a server.

[0054] Exemplarily, the electronic device may be various forms of computing devices such as personal computers, laptop computers, smart phones, and tablet computers.

[0055] Exemplarily, the server may be a server cluster consisting of multiple servers, or a single server, or a computer, or a processor or processing chip in a server or computer, etc.

[0056] It should be noted that the system architecture described in the embodiments of the present application is for more clearly illustrating the technical solutions of the embodiments of the present application, and does not constitute a limitation on the technical solutions provided in the embodiments of the present application. A person of ordinary skill in the art can know that with the evolution of the system architecture, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0057] See also Figure 2 , is a flow chart of an antenna configuration optimization method provided in an embodiment of the present application. Figure 2 As shown, the antenna configuration optimization method provided in the present application specifically includes the following steps S201 to S202.

[0058] S201, traverse a preset antenna number configuration scheme set, and determine that an antenna number configuration scheme that meets constraint conditions is an optimal antenna number configuration scheme.

[0059] In some embodiments, the constraints include the following conditions:

[0060] Condition 1: The energy consumption of the terminal devices in the target coverage area of ​​the base station is minimal during the beam scanning process.

[0061] Among them, the beam is the basic unit of signal transmission in wireless communication. By adjusting the parameters of the beam (such as direction, width, power, etc.), effective transmission and reception of signals can be achieved.

[0062] Exemplarily, there may be one or more terminal devices within the target coverage area of ​​the base station. The target coverage area of ​​the base station refers to a geographical area in which the base station can effectively provide wireless signal services, and may be a two-dimensional plane area.

[0063] The target coverage area of ​​a base station is usually evaluated and optimized through network planning and signal measurement to ensure that terminal devices obtain good communication quality and experience within the target coverage area.

[0064] Exemplarily, beam scanning is an important process in beam management, which refers to sending and receiving beams in a pre-set manner within a specific period or time to cover terminal devices in a target area.

[0065] Among them, the main purpose of beam management is to optimize the coverage and quality of signals, and to provide more stable and faster communication services in different environments by intelligently adjusting the signal transmission path. It is mainly used in wireless communication systems.

[0066] Condition 2: The signal quality of the terminal equipment in the target coverage area of ​​the base station is greater than or equal to the preset signal quality threshold.

[0067] Among them, the preset signal quality threshold is that the signal quality of the terminal devices within the target coverage range meets the basic usage needs of the user. The preset signal quality threshold is determined by the number and location of the terminal devices, etc., and will not be elaborated here.

[0068] It is understandable that the signal quality of the terminal equipment in the target coverage area of ​​the base station is a key indicator for measuring the performance of the base station, which not only affects the communication experience of the terminal equipment, but is also directly related to the stability and reliability of the network. Therefore, this application sets constraints to reduce the power consumption of the terminal equipment while meeting the signal quality of the terminal equipment, which can not only improve the user experience, but also reduce the configuration requirements for the terminal equipment. Determine the optimal number of antenna configuration schemes for the base station, improve the data processing capability and network performance of the base station, and improve the versatility and flexibility of the wireless communication system.

[0069] S202: Optimize the number of antennas of the base station based on the optimal antenna number configuration solution.

[0070] The technical solutions provided by the above embodiments bring at least the following beneficial effects: the antenna configuration optimization method provided by the embodiments of the present application can reduce the overall power consumption of the terminal device by optimizing the number of antennas, thereby not oversimplifying the infrastructure of the base station, improving the data processing capability of the base station, and reducing the cost of developing a special low-power device, thereby optimizing the number of antennas of the base station, reducing the energy consumption of the terminal device, reducing the performance requirements for the terminal device in the wireless communication system, and increasing the versatility and flexibility of the wireless communication system. The number of antennas of the base station is optimized, the utilization rate of the antenna resources of the base station is increased, and the waste of antenna resources is reduced.

[0071] In some embodiments, the energy consumption of the terminal devices in the target coverage area of ​​the base station during the beam scanning process is determined based on the following parameters: the time required for the base station to send a beam to the target coverage area and the energy consumption of the terminal devices in the target coverage area.

[0072] Exemplarily, the time required for the base station to send a beam to the target coverage area is the time it takes for the base station to send a beam to the target coverage area during the beam scanning process. The time is intermittent and is the sum of the time for each beam sent by the base station to the target coverage area.

[0073] The energy consumption of the terminal devices in the target coverage area of ​​the base station is the energy consumed by all the terminal devices in the target coverage area in a receiving beam state per unit time.

[0074] Exemplarily, the energy consumption (EC) of the terminal device in the target coverage area of ​​the base station during the scanning process may satisfy the following formula (1):

[0075] EC=P UE (S D T SSB) Formula (1)

[0076] Among them, S D It is used to indicate the number of beams required to scan the target coverage area. UE Used to represent the energy consumption of terminal equipment in the target coverage area, T SSB Used to indicate the time required for a base station to send a beam.

[0077] In some embodiments, the energy consumption of the terminal device in the target coverage area during beam scanning is determined based on the energy consumption of the RF component of the terminal device. The specific RF component is determined by the actual situation and is not limited here.

[0078] For example, assuming that the radio frequency components of the terminal device include: a low noise amplifier, a phase shifter, a radio frequency link, a digital-to-analog converter, etc., the energy consumption of the terminal device in the target coverage area can satisfy the following formula (2):

[0079] P UE =N UE (P LAN +P PS )+P RF +P C +2P ADC Formula (2)

[0080] Among them, N UE It is used to indicate the number of antennas of the terminal device, P LAN Used to represent the energy consumption of the low noise amplifier, P PS Used to represent the energy consumption of the phase shifter, P RF Used to represent the energy consumption of the RF link, P C Used to represent other power consumption in the circuit, P ADC It is used to represent the power consumption of the digital-to-analog converter. The above specific energy consumption value can be obtained through testing and will not be described in detail here.

[0081] In some embodiments, the time required for the base station to send a beam to the target coverage area is related to the number of antennas of the base station.

[0082] Exemplarily, the time required for the base station to send a beam to the target coverage area is determined based on the number of beams that the base station needs to send when performing beam scanning on the target coverage area, and the time required to send one beam.

[0083] Exemplarily, the time required to send a beam is affected by various circumstances, and the specific value is determined according to the specific configuration of the base station and is not limited here.

[0084] Exemplarily, the time required for the base station to send a beam to the target coverage area may satisfy the following formula (3):

[0085] Time = S D T SSB Formula (3)

[0086] Among them, S D and T SSB The meanings represented are referred to in the above formula (2) and will not be elaborated here.

[0087] In some embodiments, the number of beams that need to be sent when the base station performs beam scanning on the target coverage area is determined based on the beam coverage width, and the beam coverage width is determined based on the number of antennas of the base station.

[0088] For example, beam coverage width usually refers to the coverage range of the base station antenna transmission beam in a specific direction, that is, the beam angle. This angle is based on the maximum radiation direction of the antenna main lobe, and is the angle formed when the radiation power on both sides drops to a certain value (such as 3dB, that is, the power density is reduced by half). The beam coverage width reflects the concentration of the antenna radiation energy. Among them, power density refers to the power contained in a unit area, usually expressed in watts per square meter (W / m 2 ) to indicate.

[0089] For example, the maximum radiation direction of the antenna main lobe refers to the direction in which the energy is most concentrated when the antenna is radiating; when alternating current passes through the antenna of the base station, an alternating electromagnetic field is generated around the antenna, and these fields radiate energy into space in the form of electromagnetic waves.

[0090] In some embodiments, in order to ensure full coverage of the target coverage area, the base station may need to send multiple beams, and there is a close relationship between the number and width of these beams. If the beam coverage width is narrow, the base station is required to send more beams for beam scanning, and the time required for the base station to send beams to the target coverage area will increase accordingly, which may cause the power consumption of the terminal device to increase. If the beam width is wide, the base station is required to send fewer beams for beam scanning, and the time required for the base station to send beams to the target coverage area is reduced, which may reduce the power consumption of the terminal device, but for complex spatial scenarios, it will reduce the performance of the wireless communication system. Therefore, the beam coverage width needs to be judged based on the actual situation and is not limited here.

[0091] Exemplarily, the number of beams (S D ) can satisfy the following formula (4):

[0092]

[0093] Among them, △3dB is used to represent the beam coverage width.

[0094] In some embodiments, the more antennas a base station has, the narrower the beam coverage width that can be formed. When the number of antennas increases, the base station can send more beams, and the coverage width of each beam decreases accordingly.

[0095] Exemplarily, the beam coverage width (Δ3dB) may satisfy the following formula (5):

[0096]

[0097] Among them, N gNB Used to indicate the number of antennas of a base station.

[0098] It can be understood that beam scanning can dynamically adjust the direction of the beam, improve the quality of the received signal, reduce the energy consumption of the terminal device during the beam scanning process, help extend the battery life of the terminal device, increase the various possibilities of the terminal device, and the flexibility of the wireless communication system.

[0099] In some embodiments, the signal quality of a terminal device in a target coverage area of ​​a base station is determined by a signal-to-noise ratio of the terminal device; the signal-to-noise ratio of the terminal device is related to a receiving gain of the terminal device.

[0100] For example, the signal-to-noise ratio refers to the ratio of signal strength to background noise strength, and is an important indicator for measuring signal quality. During the communication process, the signal received by the terminal device is often accompanied by a certain amount of noise. If the noise is too large, it will interfere with the signal, resulting in a decrease in the quality of the signal received by the terminal device. The higher the signal-to-noise ratio, the less noise in the signal and the better the signal quality.

[0101] For example, in a wireless communication system, the existence of receiving gain can significantly improve the signal strength received by the terminal device, so that the signal is more prominent in the noise, that is, the signal-to-noise ratio is improved. The receiving gain not only amplifies the signal, but also amplifies the noise. However, in general, the degree of signal amplification is greater than the degree of noise amplification. Therefore, overall, the receiving gain is positively correlated with the signal-to-noise ratio; or, the improvement of the receiving gain helps to improve and enhance the signal-to-noise ratio.

[0102] It should be noted that too high a receive gain may cause nonlinear distortion or saturation effects, thereby introducing additional noise or distortion, which in turn reduces the signal-to-noise ratio. Therefore, the receive gain needs to balance the relationship between signal amplification and noise amplification to ensure that the impact of noise is reduced while maintaining signal quality.

[0103] In some embodiments, the receiving gain of the terminal device is affected by the number of antennas of the base station.

[0104] Exemplarily, the receiving gain of the terminal device is determined based on the angular offset of the terminal device during beam management and the number of antennas of the base station.

[0105] For example, in a wireless communication system, the movement of a terminal device causes a change in the relative position between the receiving antenna of the terminal device and the transmitting antenna of a base station, thereby generating an angular offset. With the occurrence of the angular offset, the receiving mode of the antenna of the terminal device changes, resulting in a change in the receiving gain of the terminal device.

[0106] For example, according to propagation theory, given the number of antennas in a base station (N gNB ) and the angular offset of the terminal device (θ k ), the receiving gain of the terminal device can satisfy the following formula (6):

[0107]

[0108] In some embodiments, the angular offset of the terminal device during beam management is determined by an initial angular offset of the terminal device relative to the antenna axis direction of the base station and a moving angular offset of the terminal device caused by mobility during beam management.

[0109] For example, a base station (gNB) is usually equipped with a large number of antenna arrays for implementing beam forming and beam tracking. To simplify the beam management process, the gNB uses a predefined directional codebook containing a series of possible beam directions. However, due to the finiteness of the codebook, it is impossible to fully cover all possible terminal device directions. When the direction of a terminal device in the target coverage area does not completely match any beam direction in the codebook, a non-zero initial angular offset is generated. The initial angular offset (θ i,k ) can satisfy the following formula (7):

[0110]

[0111] in, The initial phase angle used to indicate the direction of the terminal device, Used to indicate the phase angle of the base station antenna axis.

[0112] In some embodiments, during beam management, it is assumed that the terminal device moves counterclockwise at an average speed v. As the terminal device moves, changes in its position and direction may cause the beam to be misaligned with the base station, thereby reducing the signal-to-noise ratio and disconnecting the communication between the terminal device and the base station.

[0113] In some embodiments, the mobile angle offset is determined based on the moving speed of the terminal device, the duration of the beam management period, and the distance between the terminal device and the base station.

[0114] Exemplarily, the duration of the beam management period (TBM) is used to represent the duration from the first beam to the last beam during beam scanning, and satisfies the following formula (8):

[0115]

[0116] Among them, TSS is used to indicate the periodic time of beam scanning of SSB burst set, NSS is used to indicate the number of SSBs in each SSB burst set, and S D It is used to indicate the number of beams required to scan the target coverage area. l It is used to indicate the remaining beam scanning time in addition to the complete periodic time when performing beam scanning on the target coverage area.

[0117] Exemplarily, the moving angle offset of the terminal device satisfies the following formula (9):

[0118]

[0119] Among them, v is used to represent the average speed of the terminal device when it moves, dk is used to represent the distance between the terminal device and the base station, and TBM is used to represent the duration of the beam management period.

[0120] In some embodiments, the angular offset of the terminal device during beam management is the sum of the initial angular offset and the moving angular offset of the terminal device.

[0121] For example, the angular offset (θ k ) satisfies the following formula (10):

[0122] θ k =|θ v,k +θ i,k | Formula (10)

[0123] Among them, θ v,k Used to represent the angular displacement of the terminal device caused by mobility during beam management, θ i,k Used to indicate the initial angular offset of the terminal device relative to the antenna axis direction of the base station.

[0124] In some embodiments, based on the constraint condition, an optimization function is established with a preset signal quality threshold received by the terminal device as the constraint condition and the minimum energy consumption of the terminal device in the target coverage area as the target.

[0125] Exemplarily, the preset signal quality threshold received by the terminal device may be determined by a signal-to-noise ratio of the terminal device.

[0126] Among them, the minimum reception level is determined by the preset signal quality threshold of the terminal device. The minimum reception level refers to the minimum signal strength required for the terminal device to reliably receive and decode the signal in the communication system. The minimum reception level can ensure communication quality and optimize system performance.

[0127] Exemplarily, the optimization function may satisfy the following formula (11):

[0128]

[0129] "ST" is a commonly used abbreviation in mathematics and engineering, which means "such that". It is usually used to define or describe a condition or constraint that must be met in order for the previous statement or equation to be true.

[0130] For example, γ k It is used to represent the signal-to-noise ratio of the kth terminal device, and τ is used to represent the preset signal quality threshold to ensure the quality of the signal received by the terminal device.

[0131] In some embodiments, the preset antenna number configuration solution set may be a set of antenna number configurations currently commonly used in base stations.

[0132] It should be noted that the optimization function provided in the present application transforms the problem of reducing the power consumption of terminal devices in wireless communication systems into the problem of optimizing the number of antennas of base stations. The preset antenna number configuration scheme set can be updated according to the common antenna number configuration of base stations. There is no specific limitation. For example, the preset antenna number configuration scheme set can be {2, 4, 8, 16, 32, 64}. When the number of antennas is a finite element, the traversal algorithm can be directly used.

[0133] It is understandable that the optimal number of antennas helps to increase the flexibility of the wireless communication system, reduce the power consumption of the terminal equipment, improve the stability of the terminal equipment, and at the same time increase the battery life of the terminal equipment, thereby enhancing the user experience.

[0134] In some embodiments, see Figure 3 , which is a flow chart of another antenna configuration optimization method provided in this application.

[0135] a1. Determine a set of preset antenna number configuration solutions.

[0136] Exemplarily, a preset antenna number configuration scheme set is determined based on the currently existing antenna number configuration.

[0137] a2. Traverse a set of preset antenna number configuration schemes to determine an antenna number configuration scheme with the lowest energy consumption during beam scanning of terminal devices in a target coverage area of ​​the base station.

[0138] Exemplarily, based on the time required for the base station to send a beam to the target coverage area and the energy consumption of the terminal equipment in the target coverage area, the energy consumption of the terminal equipment in the target coverage area of ​​the base station during the beam scanning process is determined.

[0139] a3. If the antenna number configuration scheme with the lowest energy consumption determined in step a2 is configured on the base station, whether the signal quality of the terminal equipment in the target coverage area of ​​the base station is greater than or equal to the preset signal quality.

[0140] Exemplarily, the signal quality of a terminal device in a target coverage area of ​​a base station is determined by a signal-to-noise ratio of the terminal device; the signal-to-noise ratio of the terminal device is related to a receiving gain of the terminal device; and the receiving gain of the terminal device is affected by the number of antennas of the base station.

[0141] Exemplarily, if the signal quality of the terminal equipment in the target coverage area of ​​the base station is greater than or equal to the preset signal quality, the antenna number configuration scheme with the lowest energy consumption determined in step a2 is the optimal number configuration scheme, and the process proceeds to step a4; if the signal quality of the terminal equipment in the target coverage area of ​​the base station is less than the preset signal quality, the antenna number configuration scheme with the lowest energy consumption determined in step a2 is deleted from the preset antenna number configuration set, and the process proceeds to step a1.

[0142] a4. Optimize the number of antennas of the base station based on the optimal antenna number configuration plan.

[0143] It can be seen that the above mainly introduces the solution provided by the embodiment of the present application from the perspective of the method. In order to achieve the above functions, the embodiment of the present application provides a hardware structure and / or software module corresponding to each function. It should be easily appreciated by those skilled in the art that, in combination with the modules and algorithm steps of each example described in the embodiment disclosed herein, the embodiment of the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0144] The embodiment of the present application can divide the antenna configuration optimization device into functional modules according to the above method example. For example, each functional module can be divided according to each function, or two or more functions can be integrated into one processing module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules. Optionally, the division of modules in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0145] In some embodiments, the present application further provides an antenna configuration optimization device 800. The antenna configuration optimization device 800 may include one or more functional modules, which are used to implement the antenna configuration optimization method of the above method embodiment.

[0146] For example, Figure 4 FIG. 8 is a schematic diagram of the composition of an antenna configuration optimization device 800 provided in an embodiment of the present application. Figure 4 As shown, the antenna configuration optimization device 800 includes: a processing module 801 and an optimization module 802, the processing module 801 is used to traverse a preset antenna number configuration scheme set, and determine that the antenna number configuration scheme that meets the constraint conditions is the optimal antenna number configuration scheme; the constraint conditions include: the terminal equipment in the target coverage area of ​​the base station has the lowest energy consumption during the beam scanning process, and the signal quality of the terminal equipment in the target coverage area of ​​the base station is greater than or equal to the preset signal quality threshold; the optimization module 802 is used to optimize the number of antennas of the base station based on the optimal antenna number configuration scheme.

[0147] In some embodiments, the energy consumption of the terminal equipment in the target coverage area of ​​the base station during the beam scanning process is determined based on the following parameters: the time required for the base station to send a beam to the target coverage area and the energy consumption of the terminal equipment in the target coverage area; wherein, the time required for the base station to send a beam to the target coverage area is related to the number of antennas of the base station.

[0148] In other embodiments, the time required for the base station to send a beam to the target coverage area is determined based on the number of beams that the base station needs to send when performing beam scanning on the target coverage area, and the time required to send one beam; wherein, the number of beams that the base station needs to send when performing beam scanning on the target coverage area is determined based on the beam coverage width, and the beam coverage width is determined based on the number of antennas of the base station.

[0149] In some other embodiments, the signal quality of the terminal device in the target coverage area of ​​the base station is determined by the signal-to-noise ratio of the terminal device; the signal-to-noise ratio of the terminal device is related to the receiving gain of the terminal device; and the receiving gain of the terminal device is affected by the number of antennas of the base station.

[0150] In yet other embodiments, the reception gain of the terminal device is determined based on the angular offset of the terminal device during beam management and the number of antennas of the base station.

[0151] In some further embodiments, the angular offset of the terminal device during beam management is determined by an initial angular offset of the terminal device relative to the antenna axis direction of the base station and a moving angular offset of the terminal device caused by mobility during beam management.

[0152] In yet other embodiments, the mobile angle offset is determined based on the moving speed of the terminal device, the duration of the beam management period, and the distance between the terminal device and the base station.

[0153] In the case of implementing the functions of the above-mentioned integrated modules in the form of hardware, the embodiment of the present invention provides a possible structural diagram of the device involved in the above-mentioned embodiment. Figure 5 As shown, the device 900 includes: a processor 902 , a communication interface 903 , and a bus 904 . Optionally, the device 900 may also include a memory 901 .

[0154] The processor 902 may be a processor that implements or executes various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of the present application. The processor 902 may be a central processing unit, a general-purpose processor, a digital signal processor, an application-specific integrated circuit, a field programmable gate array, or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of the present application. The processor 902 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

[0155] The communication interface 903 is used to connect with other devices via a communication network, such as Ethernet, wireless access network, wireless local area network (WLAN), etc.

[0156] The memory 901 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0157] As a possible implementation, the memory 901 may exist independently of the processor 902, and the memory 901 may be connected to the processor 902 via a bus 904 to store instructions or program codes. When the processor 902 calls and executes the instructions or program codes stored in the memory 901, the antenna configuration optimization method provided in the embodiment of the present invention can be implemented.

[0158] In another possible implementation, the memory 901 may also be integrated with the processor 902 .

[0159] The bus 904 may be an extended industry standard architecture (EISA) bus, etc. The bus 904 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0160] Through the description of the above implementation methods, technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the service calling device can be divided into different functional modules to complete all or part of the functions described above.

[0161] The embodiment of the present application also provides a computer-readable storage medium. All or part of the processes in the above method embodiments can be completed by computer instructions to instruct the relevant hardware, and the program can be stored in the above computer-readable storage medium. When the program is executed, it may include the processes of the above method embodiments. The computer-readable storage medium can be the memory or memory of any of the above embodiments. The above computer-readable storage medium can also be an external storage device of the above service calling device, such as a plug-in hard disk, a smart memory card (smart media card, SMC), a secure digital (secure digital, SD) card, a flash card (flash card), etc. equipped on the above service calling device. Further, the above computer-readable storage medium can also include both the internal storage unit of the above service calling device and an external storage device. The above computer-readable storage medium is used to store the above computer program and other programs and data required by the above service calling device. The above computer-readable storage medium can also be used to temporarily store data that has been output or is to be output.

[0162] An embodiment of the present application also provides a computer program product, which includes a computer program. When the computer program product is run on a computer, the computer is enabled to execute any one of the antenna optimization configuration methods provided in the above embodiments.

[0163] The above are only specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application 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 method for optimizing antenna configuration, characterized in that: The method comprises: Traversing a preset antenna number configuration scheme set, determining that an antenna number configuration scheme that satisfies a constraint condition is an optimal antenna number configuration scheme; the constraint condition includes: the energy consumption of the terminal equipment in the target coverage area of ​​the base station during the beam scanning process is the lowest, and the signal quality of the terminal equipment in the target coverage area of ​​the base station is greater than or equal to a preset signal quality threshold; Based on the optimal antenna number configuration scheme, the number of antennas of the base station is optimized.

2. The method according to claim 1, characterized in that: The energy consumption of the terminal devices in the target coverage area of ​​the base station during the beam scanning process is determined based on the following parameters: the time required for the base station to send a beam to the target coverage area and the energy consumption of the terminal devices in the target coverage area; wherein, the time required for the base station to send a beam to the target coverage area is related to the number of antennas of the base station.

3. The method according to claim 2, characterized in that The time required for the base station to send a beam to the target coverage area is determined based on the number of beams that need to be sent when the base station performs beam scanning on the target coverage area, and the time required to send one beam; wherein, the number of beams that need to be sent when the base station performs beam scanning on the target coverage area is determined based on the beam coverage width, and the beam coverage width is determined based on the number of antennas of the base station.

4. The method according to claim 1, characterized in that: The signal quality of the terminal equipment in the target coverage area of ​​the base station is determined by the signal-to-noise ratio of the terminal equipment; the signal-to-noise ratio of the terminal equipment is related to the receiving gain of the terminal equipment; the receiving gain of the terminal equipment is affected by the number of antennas of the base station.

5. The method according to claim 4, characterized in that The receiving gain of the terminal device is determined based on the angular offset of the terminal device during beam management and the number of antennas of the base station.

6. The method according to claim 5, characterized in that The angular offset of the terminal device during beam management is determined by an initial angular offset of the terminal device relative to the antenna axis direction of the base station and a moving angular offset of the terminal device caused by mobility during beam management.

7. The method according to claim 6, characterized in that The moving angle offset is determined based on the moving speed of the terminal device, the duration of the beam management period, and the distance between the terminal device and the base station.

8. A device, characterized in that The invention comprises a processor and a memory, wherein the processor is coupled to the memory; the memory is used to store computer instructions, and the computer instructions are loaded and executed by the processor so that the computer device implements the antenna configuration optimization method according to any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes computer-executable instructions. When the computer-executable instructions are executed on a computer, the computer is enabled to execute the antenna configuration optimization method according to any one of claims 1 to 7.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is run on an electronic device, the electronic device executes the antenna configuration optimization method according to any one of claims 1 to 7.

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