CN114553284B - Beam alignment method, device, base station and computer readable storage medium - Google Patents
Beam alignment method, device, base station and computer readable storage medium Download PDFInfo
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- CN114553284B CN114553284B CN202210449891.3A CN202210449891A CN114553284B CN 114553284 B CN114553284 B CN 114553284B CN 202210449891 A CN202210449891 A CN 202210449891A CN 114553284 B CN114553284 B CN 114553284B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
- H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
- H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
- H04B7/0617—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal for beam forming
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/08—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
- H04B7/0837—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station using pre-detection combining
- H04B7/0842—Weighted combining
- H04B7/086—Weighted combining using weights depending on external parameters, e.g. direction of arrival [DOA], predetermined weights or beamforming
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/24—Cell structures
- H04W16/28—Cell structures using beam steering
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The embodiment of the application discloses a beam alignment method, a beam alignment device, a base station and a computer readable storage medium, and relates to the technical field of wireless communication. The method comprises the following steps: the first base station acquires the optimal beam distribution ratio at the current moment; generating a first beam at the current moment according to the optimal beam distribution ratio at the current moment, wherein the first beam is used for sensing the environment at the current moment through the distributed sensing resources and is also used for communicating with the user equipment through the distributed communication resources; sending the first wave beam to user equipment in a set period, and detecting whether an obstacle exists between the first base station and the user equipment or not through the first wave beam; and if the first base station does not detect the obstacle through the first beam, and the first base station communicates with the user equipment through the first beam and receives a first beam alignment notice sent by the user equipment, the beam alignment is finished. By the method, the problem of beam misalignment in millimeter wave and terahertz communication methods can be solved.
Description
Technical Field
The present application relates to the field of wireless communication technologies, and in particular, to a beam alignment method, apparatus, base station, and computer-readable storage medium.
Background
With the development of wireless communication technology, Millimeter Wave (mmWave) and Terahertz (THz) frequency band communication has become an important and potential technology. Because the signals of the millimeter wave and terahertz frequency bands have high-speed data transmission capacity and high-precision Sensing capacity, and the Communication function modules and the Sensing function modules of the millimeter wave and terahertz frequency bands can be Integrated on hardware, the Communication of the millimeter wave and terahertz frequency bands can be utilized, and the transmission delay between the Communication module and the Sensing module can be reduced while the Integrated Sensing and Communication (ISAC) technology is realized.
However, there is a problem of beam misalignment when communication is performed using millimeter wave and terahertz frequency band signals. Prior art improvements to beam misalignment have focused primarily on signal processing angles. As in patent CN112751596A, the base station transmits multiple beams to the user equipment, and the user equipment receives the multiple beams and selects the beam with the best communication quality, and informs the base station to communicate with the beam with the best communication quality. In this prior art, if all of a plurality of beams transmitted by a base station to a user equipment are misaligned, the user equipment cannot return a beam to the base station, beam alignment cannot be completed, and the base station cannot communicate with the user equipment.
Therefore, the prior art still cannot completely solve the problem that the beam misalignment affects the communication quality.
Disclosure of Invention
The inventor of the present application finds through long-term practice that, due to the short signal wavelengths of the millimeter waves and the terahertz frequency band, the signals are easily blocked by an obstacle in the transmission process, or when the user equipment is in a moving state, the user equipment cannot accept signals at the next moment due to too fast movement of the user, so that the beam state of the millimeter waves and the terahertz frequency band signals is changed from beam alignment to beam misalignment. Accordingly, the present application proposes a beam alignment method, apparatus, base station and computer readable storage medium, which assist beam alignment between the base station and the user equipment through perceptual information from a system perspective. Specifically, whether an obstacle exists between a base station and user equipment is sensed through a sensing signal, whether an obstacle exists near the user equipment is sensed, the moving speed of a user is sensed, whether an obstacle exists in a moving path is sensed, a beam alignment strategy is formulated based on a sensing result, for example, when an obstacle exists, the beam alignment strategy is switched to another base station to be executed with the user equipment, and when the moving speed of the user equipment is too high, a beam is increased and sent out, and the like, so that the problem of beam misalignment existing in millimeter wave and terahertz communication methods can be effectively solved.
In a first aspect, an embodiment of the present application provides a beam alignment method, including: s110, the first base station acquires network parameters, sensing resource grid parameters and a random geometric model at the current moment, wherein the network parameters at the current moment comprise center frequency
Length of symbol
Spacing of subcarriers
Network node density of the first base station
Network node density of the user equipment
Network node density of said obstacle
Number of beams of said first base station
Number of beams of said user equipment
Density of beam switching points
And is and
the perceptual resource grid parameters
For sensing the number of the total resource grids occupied by the resources, the random geometric model is the beam misalignment probability and the beam distribution ratio
Function of (2)
，
Wherein the content of the first and second substances,
，
，
and the first base station is based on the current timeObtaining the current time by the network parameter, the sensing resource grid parameter and the random geometric model
Minimum beam allocation ratio
The optimal beam distribution ratio is used for distributing sensing resources and communication resources of beams under the condition that the misalignment probability of the beams is minimum, and the misalignment probability of the beams is the probability that the beams sent by the first base station cannot be aligned with user equipment; s120, generating a first wave beam at the current moment according to the optimal distribution ratio of the wave beam at the current moment, wherein the first wave beam is used for sensing the environment at the current moment through the distributed sensing resources and is also used for communicating with user equipment through the distributed communication resources; s130, sending the first wave beam to the user equipment in a set period, and detecting whether an obstacle exists between the first base station and the user equipment through the first wave beam; s140, if the first base station does not detect the obstacle through the first beam, and the first base station communicates with the user equipment through the first beam and receives a first beam alignment notice sent by the user equipment, the beam alignment is finished.
In a second aspect, an embodiment of the present application further provides a beam alignment apparatus, where the beam alignment apparatus includes an obtaining unit, configured to obtain, in step S110 in claim 1, an optimal beam allocation ratio, where the optimal beam allocation ratio is used to allocate the sensing resource and the communication resource of a beam with a minimum beam misalignment probability, where the beam misalignment probability is a probability that a beam emitted by the first base station and a user equipment cannot be aligned; the beam generating unit is used for generating a first beam at the current moment according to the optimal beam distribution ratio at the current moment, wherein the first beam is used for sensing the environment at the current moment through the distributed sensing resources and is also used for communicating with the user equipment through the distributed communication resources; a first transmitting unit, configured to transmit the first beam to the user equipment; a determining unit, configured to detect whether an obstacle exists between the first base station and the user equipment through the first beam; a processing unit, configured to complete beam alignment if the first base station does not detect the obstacle through the first beam, and the first base station communicates with the user equipment through the first beam and receives a first beam alignment notification sent by the user equipment.
In a third aspect, an embodiment of the present application further provides a base station, including: one or more processors; a memory; one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to perform the above-described methods.
In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, in which a program code is stored, where the program code can be called by a processor to execute the above method.
In summary, the present application has at least the following technical effects:
1. according to the method and the device, the first wave beam is generated according to the optimal distribution ratio of the wave beam, so that the first wave beam can simultaneously realize a better sensing function and a better communication function, and further a precondition is provided for wave beam alignment.
2. The method and the device have the advantages that the first wave beam generated according to the optimal distribution ratio of the wave beams is sent to the user equipment, whether the first base station has the obstacle in the communication process with the user equipment is detected, and when the obstacle is not detected, the first wave beam alignment notice sent by the user equipment is received, so that the effect of wave beam alignment is achieved.
3. According to the method and the device, the beam switching among the cells is carried out when the obstacle is detected, the communication is prevented from being blocked by the obstacle, and the effect of beam alignment is achieved.
4. According to the method and the device, when the obstacle is not detected but the speed of the user equipment is too high, beam switching in the cell is carried out, the situation that the user cannot receive the first beam at the next moment due to too high speed is avoided, and the beam alignment effect is achieved.
5. According to the method and the device, when the obstacle is not detected and the user speed is not too high, the sensing resource grid parameters are increased so that the first wave beam can obtain more sensing resources, the accuracy of the sensing function is improved, and therefore the effect of wave beam alignment is achieved.
Therefore, the scheme provided by the application can be used for relieving the beam misalignment problem existing in the millimeter wave and terahertz communication method.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart illustrating a beam alignment method provided in embodiment 1 of the present application;
fig. 2 is another schematic flow chart of the beam alignment method provided in embodiment 1 of the present application;
fig. 3 is a schematic flowchart of a beam alignment method provided in embodiment 1 of the present application;
fig. 4 is a schematic diagram illustrating the generation of a first beam provided in embodiment 1 of the present application;
fig. 5 is a schematic diagram illustrating an inter-cell beam handover provided in embodiment 1 of the present application;
fig. 6 shows a schematic diagram of intra-cell beam switching provided in embodiment 1 of the present application;
FIG. 7 is a graph showing the beam misalignment probability versus the number of wavenumbers provided in example 1 of the present application;
fig. 8 is a diagram illustrating a relationship between a beam misalignment probability and a time-frequency resource allocation ratio provided in embodiment 1 of the present application;
fig. 9 shows a diagram of the beam misalignment probability and the bandwidth occupied by the first beam provided in embodiment 1 of the present application;
fig. 10 is a block diagram illustrating a beam alignment apparatus provided in embodiment 2 of the present application;
fig. 11 is a block diagram illustrating a base station for performing the beam alignment method according to embodiment 3 of the present application;
fig. 12 is a storage unit for storing or carrying program codes for implementing the beam alignment method according to embodiment 4 of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
Hereinafter, technical terms related to the present application will be described first.
A base station is used for mobile communication and is a form of radio station, and specifically, a base station refers to a radio transceiver station for information transfer between a user terminal and a mobile communication switching center in a certain radio coverage area. The signal coverage area of each base station forms a cell, the base stations in the present application may be multiple, and each base station may be randomly distributed, so the communication scenario in the present application may be a network scenario composed of multiple base stations that are randomly distributed.
Terahertz refers to an electromagnetic wave having a frequency of 0.1THz to 10 THz. Specifically, the frequency of terahertz is a frequency between the high-frequency edge (300 GHz) and the low-frequency far-infrared spectral band edge (3000 GHz) of the millimeter-wave band of electromagnetic radiation, and radiation of the corresponding wavelength is in the range of 0.03mm to 3mm in this band.
Millimeter waves refer to electromagnetic waves with a frequency of 26.5 GHz-300 GHz, the corresponding wavelength range is 1 mm-10 mm, and the millimeter waves are located in the overlapping wavelength range of microwave and far infrared waves, so that the millimeter waves have the characteristics of two wave spectrums. The millimeter wave is a wave band extending from microwave to high frequency, the terahertz wave spectrum is between microwave and far infrared light, the low wave band is adjacent to the millimeter wave, and the high wave band is adjacent to the infrared light.
The communication perception integrated technology is a novel information processing technology which realizes a perception function and a communication function simultaneously based on software and hardware resource sharing or information sharing, and can effectively improve the system spectrum efficiency, the hardware efficiency and the information processing efficiency. The sensing function is mainly realized by analyzing direct, reflected and scattered signals of radio waves, so as to obtain information of a target object or information of an environment, specifically, the position, distance and speed of the target object, and an image of the environment can be obtained. In the communication perception integration technology, the communication system can utilize the same frequency spectrum or even multiplexing hardware or a signal processing module to complete different types of perception functions. The sensing result can be used for assisting communication access or management and improving communication quality.
At present, on one hand, when millimeter waves and terahertz are used for communication, because the attenuation of the signal intensity of the terahertz and the millimeter waves is large, the coverage range of a millimeter wave and terahertz communication network is small, user equipment needs to frequently switch beams when using the millimeter waves and the terahertz communication network, and because the wavelengths of the terahertz and the millimeter waves are short, the communication lines are easily blocked by obstacles in the signal transmission process, so that the communication lines are interrupted, the beam switching cannot be completed, and the beam state of the millimeter waves and the terahertz frequency band signals is changed from beam alignment to beam misalignment. On the other hand, when the user equipment is in a moving state, the beam switching cannot be completed because the user moves too fast, which causes a problem of beam misalignment.
Therefore, in order to solve the above-mentioned drawback, an embodiment of the present application provides a beam alignment method, including: the first base station acquires network parameters, sensing resource grid parameters and a random geometric model of the current moment, wherein the random geometric model is the beam misalignment probability and the beam distribution ratio
Is composed ofNumber of
And the first base station obtains the current time according to the network parameter, the sensing resource grid parameter and the random geometric model of the current time
Minimum beam allocation ratio
The optimal beam distribution ratio is used for distributing sensing resources and communication resources of the beam so as to reduce the misalignment probability of the beam to the minimum; the first base station generates a first beam at the current moment according to the optimal beam distribution ratio, wherein the first beam is used for sensing the environment at the current moment, such as the position, the speed, obstacles and the like of the user equipment, and the first beam is also used for communicating with the user equipment, such as receiving a first beam alignment notification; the first base station sends a first wave beam generated at each period moment to the user equipment in a set period, and detects whether an obstacle exists between the first base station and the user equipment through the first wave beam; if the first base station does not detect the obstacle and the first beam and the user equipment are successfully communicated, the first base station receives a first beam alignment notification sent by the user, and beam alignment is finished.
Whether an obstacle exists in the communication process of the first base station and the user equipment is detected by sending the first wave beam generated according to the optimal wave beam distribution ratio to the user equipment, and the inter-cell wave beam switching is carried out when the obstacle is detected, so that the communication blocked by the obstacle is avoided, the wave beam alignment is finished, and the problem of wave beam misalignment in the millimeter wave and terahertz communication method is solved. The beam alignment method to which the present application relates is described below.
Example 1
Referring to fig. 1, fig. 1 is a schematic flow chart of a beam alignment method according to embodiment 1 of the present application. In this embodiment, the beam used by the first base station is a terahertz and/or millimeter wave, and the beam alignment method may include the following steps:
step S110: a first base station acquires network parameters, perception resource grid parameters and a random geometric model at the current moment, wherein the network parameters at the current moment comprise center frequency
Length of symbol
Spacing of subcarriers
Network node density of the first base station
Network node density of the user equipment
Network node density of said obstacle
Number of beams of said first base station
Number of beams of said user equipment
Density of beam switching points
And is and
the perceptual resource grid parameters
The random geometric model is used for sensing the number of total resource grids occupied by resourcesAssigning the beam misalignment probability to a beam allocation ratio
Function of (2)
，
Wherein the content of the first and second substances,
，
，
and the first base station obtains the current time according to the network parameters, the sensing resource grid parameters and the random geometric model of the current time
Minimum beam allocation ratio
And as the optimal beam distribution ratio at the current moment, the optimal beam distribution ratio is used for distributing the sensing resources and the communication resources of the beam under the condition of the minimum beam misalignment probability, and the beam misalignment probability is the probability that the beam emitted by the first base station cannot be aligned with the user equipment.
Here, the communication resource refers to a resource that can be used to implement a communication function in a radio wave. The sensing resource refers to a resource which can be used for realizing a sensing function in radio waves, such as direct, reflected and scattered signals of the radio waves.
Specifically, the beam alignment is performed by using the terahertz and/or millimeter wave signal to simultaneously realize the sensing function and the communication function through the communication sensing integration technology. In terahertz and/or millimeter wave signals, if too many signal resources are allocated to the communication function, the sensing function of the signal may be affected, which may cause inaccurate obstacle detection or user speed detection and affect beam switching, and if too many signal resources are allocated to the sensing function, the communication function of the signal may be affected, which may further cause reduction of network total throughput and affect communication between the base station and the user equipment.
In the embodiment of the present application, the beam transmitted by the first base station needs to detect the communication environment through the sensing function, so as to ensure that the beam can be aligned, and needs to communicate with the user equipment through the communication function, so as to ensure that the user equipment can receive the notification of the alignment of the beam of the base station. Therefore, the first base station obtains the optimal beam distribution ratio at the current moment, where the optimal beam distribution ratio refers to the distribution ratio of beam communication resources and sensing resources under the condition that the beam misalignment probability is minimum, that is, under the condition that the beam transmitted by the first base station can simultaneously achieve the optimal communication function and sensing function.
In the embodiment of the present application, the first base station may continuously transmit beams at different times in a scanning manner, and since the network status in the coverage area of the base station may be different at different times, the optimal beam allocation ratios obtained by the base station at different times may also be different.
Wherein the network parameter of the current time includes a frame structure related parameter, such as a center frequency
Length of symbol
Spacing of subcarriers
And also includes the density of nodes in the network, e.g. the density of network nodes of the first base station
Network node density of user equipment
Network node density of obstacles
And including the number of beams used by the communication node, e.g. the first base station
Number of beams used by user equipment
。
The different types of nodes considered by the application are independently and randomly distributed in the network and are distributed according to the poisson point process.
According to the random distribution characteristic of the network, the distribution of the beam switching points between cells and in the network satisfies the exponential distribution, and according to the extracted density of the base station and the number of the beams used by the base station, the density of the beam switching points
Can be calculated by the following formula:
。
perceptual resource lattice parameters
The number of total resource grids occupied by the sensing resource and the sensing resource grid parameter
A value preset for the first base station.
Speed resolution ratio capable of being realized by first beam sensing resource at current moment
And c is the speed of light,
the duration of the first beam.
Distance resolution that can be achieved by the first beam communication resource at the current time
。
Under the current moment network node and obstacle density, the probability that the direct path transmission of the terahertz and/or millimeter wave signals is not blocked by the obstacle can be modeled as a function related to the transmission distance r
。
According to the probability density function of the signal transmission distance r:
the average probability that the direct path transmission of the signal is not blocked is:
wherein the content of the first and second substances,
，
is the radius of the network node or nodes,
，
is a complementary error function, and:
when insufficient speed and range resolution is caused by too little sensing resources, the first base station may underestimate the speed of the user equipment, resulting in beam misalignment. Therefore, the probability of beam misalignment caused by insufficient velocity resolution and range resolution is modeled as the following events:
wherein the content of the first and second substances,
is the coverage area of a single beam, t is a set period,
a user possible speed maximum preset for the first base station,
and presetting a user possible speed minimum value for the first base station.
Average probability of unblocking direct path transmission of signal
Velocity resolution
Distance resolution
Substituting the beam misalignment probability for modeling to obtain a random geometric model as the beam misalignment probability and the beam distribution ratio
Function of (2)
Wherein:
wherein the content of the first and second substances,
，
，
。
in this applicationIn the embodiment, the optimal beam allocation ratio
The beam allocation ratio corresponding to the minimum beam misalignment probability is referred to. Probability function of beam misalignment
With respect to beam distribution ratio
The derivation is carried out by the derivation,
when the temperature of the water is higher than the set temperature,
. In that
In (1), only the defined variables
Ratio of beam distribution
In connection with this, the present invention is,
when the derivative is 0, the following expression can be obtained:
the optimal beam distribution ratio can be obtained according to the expression:
as shown in fig. 3, in an exemplary embodiment, step S110 may be preceded by step S101 and step S102.
Step S101: the first base station sends a detection beam in a beam scanning mode, and the detection beam is used for communicating with terminal equipment within the coverage range of the first base station.
Step S102: and the first base station receives a user connection notification sent by the terminal equipment within the coverage range of the first base station, and confirms that the terminal equipment is the user equipment.
In the embodiment of the present application, before the first base station does not acknowledge the user equipment, the first base station transmits a sounding beam to its coverage area in a beam scanning manner. The detection beam is terahertz and/or millimeter wave, and can be used for communicating with terminal equipment which may exist in the coverage area of the first base station and needs to communicate, sensing obstacles existing in the coverage area of the first base station, and detecting the moving speed, the moving direction and the position of the user equipment.
And if the terminal equipment which needs to communicate with the first base station exists, the terminal equipment receives the detection beam and sends a user connection notification to the first base station. And the first base station receives the user connection notification, can confirm that the terminal equipment is the user equipment needing to communicate, and performs beam alignment with the user equipment.
Step S120: and generating a first beam at the current moment according to the optimal beam distribution ratio at the current moment, wherein the first beam is used for sensing the environment at the current moment through the distributed sensing resources and is also used for communicating with the user equipment through the distributed communication resources.
In the embodiment of the present application, the first beam may be a Synchronization Signal Block (SSB).
In this embodiment of the present application, the fact that the first beam is used to sense the environment at the current time through the allocated sensing resource may mean that the first beam may be used to detect an obstacle within a signal coverage of the first base station and the environment such as the speed and the path of the user equipment through the sensing resource.
In this embodiment, that the first beam is used for further communicating with the user equipment through the allocated communication resource may mean that the user equipment may receive, through the first beam, a notification of the alignment of the base station beam sent by the base station.
In the embodiment of the present application, the first base station may continuously transmit the first beam at different time instants in a scanning manner, and since the optimal beam allocation ratios obtained by the base stations at different time instants may be different, the first beams generated by the base stations at different time instants may also be different.
As shown in fig. 4, in the embodiment of the present application, the first beams pointing to different directions may be sent in a scanning manner, and transmitted in a time-frequency multiplexing manner. A group of first beams covering all directions form a first beam burst set to transmit in a set period t. In time domain, the number of symbols occupied by a first beam is
I.e. duration of the first beam
(ii) a In the frequency domain, the number of subcarriers occupied by one first beam is
I.e. the first beam occupies a bandwidth of
。
Step S130: and sending the first beam to the user equipment in a set period, and detecting whether an obstacle exists between the first base station and the user equipment through the first beam.
As an alternative embodiment, detecting whether an obstacle exists between the first base station and the user equipment through the first beam may be that the first base station collects echoes returned by the first beam, and determines whether an obstacle exists between the first base station and the user equipment by analyzing the echoes. Specifically, the first base station continuously transmits a first beam to the coverage area of the first base station, and the first base station may detect the moving speed, the moving direction, and the position of the user equipment at the previous time through a probe beam transmitted at the previous time or the first beam, and may estimate the position after the user equipment; during a period when the first base station sends the first beam in a scanning mode, the first beam can be sent to all areas within the coverage area of the first base station, and if the first base station receives an echo returned by the first beam, at least one position where the echo is generated in the coverage area of the first base station is marked as at least one obstacle position. As an alternative implementation, the at least one obstacle position includes positions of other terminal devices that do not send the user connection notification to the first base station, and does not include the position of the terminal device that is confirmed as the user device in step S102.
In an exemplary embodiment, step S130 may further include a sub-step S131.
Substep S131: and sending the first beam to the user equipment at a set period, and detecting whether the obstacle exists in the vicinity of a communication line between the first base station and the user equipment through the first beam.
As an optional implementation manner, the first base station may detect the moving speed, the moving direction, and the position of the user equipment at the previous time through the probe beam or the first beam transmitted at the previous time, and may estimate the position after the user equipment, so as to obtain the communication line between the first base station and the user equipment.
As an optional implementation manner, detecting whether the obstacle exists in the vicinity of the communication line between the first base station and the user equipment may be: the first base station sends a first beam to the vicinity of a communication line between the first base station and the user equipment, collects echoes returned by the first beam, and determines whether an obstacle exists in the vicinity of the communication line between the first base station and the user equipment by analyzing the echoes.
In an exemplary embodiment, step S130 may further include a sub-step S132.
Substep S132: and detecting the moving speed and the moving path of the user equipment through the first beam, and detecting whether an obstacle exists between the first base station and the user equipment in the process that the user equipment moves according to the moving speed and the moving path.
In the embodiment of the present application, the user equipment may be in a stationary state or in a moving state.
As an optional implementation manner, when the ue is in a moving state, the first base station continuously transmits the first beam to its coverage area, and the first base station may detect a moving speed, a moving direction, and a location of the ue at a previous time through the first beam transmitted at the previous time, and may estimate a moving speed and a moving path after the ue.
As an optional implementation manner, detecting whether there is an obstacle between the first base station and the user equipment during the user equipment moving according to the moving speed and the moving path may be: the first base station sends a first beam to the moving path range of the user equipment, collects echoes returned by the first beam, and determines whether an obstacle exists between the first base station and the user equipment in the moving process of the user equipment according to the moving speed and the moving path by analyzing the echoes.
Step S140: if the first base station does not detect the obstacle through the first beam, and the first base station communicates with the user equipment through the first beam and receives a first beam alignment notification sent by the user equipment, beam alignment is completed.
In this embodiment, if there is no obstacle between the first base station and the user equipment, the communication line may not be interrupted due to a short wavelength of the terahertz and/or millimeter wave signal, and meanwhile, in a case that there is no obstacle in the communication line between the first base station and the user equipment, the user equipment may receive a notification of base station beam alignment sent by the base station through the first beam, and then send the first beam alignment notification to the base station, so that the first base station confirms that the beam alignment is completed, and perform subsequent communication with the user equipment through the communication beam, where the communication beam may be a signal mainly used for communication and sent to a user in a straight line form by the base station.
As shown in fig. 2, in an exemplary embodiment, step S140 may further include a sub-step S141.
Substep S141: and if the obstacle is detected to exist near the communication line, the first base station sends an inter-cell beam switching instruction to the user equipment and the second base station, and the second base station performs beam alignment with the user equipment.
In the embodiment of the present application, if an obstacle exists between the first base station and the user equipment, the communication line may be interrupted due to a short wavelength of the terahertz and/or millimeter wave signal, and therefore, inter-cell beam switching is required to ensure normal communication.
The coverage area of the second base station may overlap with the coverage area of the first base station, and the user equipment is in the coverage area of the second base station.
As an optional implementation manner, as shown in fig. 5, when the first base station detects that an obstacle exists near a communication line between the first base station and the user equipment, and the communication line between the first base station and the user equipment is not blocked by the obstacle nearby, the first base station first sends an inter-cell beam switching instruction to the user equipment, and then sends an inter-cell beam switching instruction to the second base station, and the second base station additionally sends a second beam after receiving the inter-cell beam switching instruction, where the inter-cell beam switching instruction is used to perform beam switching between a signal cell of the first base station and a signal cell of the second base station, and the second beam is terahertz and/or millimeter wave, and may be used to sense an environment at the current time through the allocated sensing resources, and may also be used to communicate with the user equipment through the allocated communication resources.
As an alternative embodiment, the first base station may send information such as the location, moving speed, moving path, and location of an obstacle of the user equipment to the second base station.
In this embodiment, the step of performing beam alignment with the ue by the second base station may refer to the contents of step S110, step S120, step S130 and step S140 in the foregoing embodiment, and is not described herein again.
As shown in fig. 2, in an exemplary embodiment, step S140 may further include a substep S142.
Substep S142: if the first base station does not detect the obstacle through the first beam and detects that the moving speed of the user equipment is greater than the communication limit of the first base station, the first base station immediately sends the first beam, and the communication limit
Wherein, in the step (A),
is an average beam coverage, and
。
in the embodiment of the present application, although there is no obstacle between the first base station and the ue, if the moving speed of the ue is too fast, the following problems may occur: before the first beam at the next moment reaches the user equipment, the user equipment leaves the coverage area of the first base station, and the first base station cannot sense and communicate with the user equipment through the first beam, so that beam switching cannot be performed in time to maintain the stability of a communication link between the first base station and the user equipment, and signals between the first base station and the user equipment are changed from beam alignment to beam misalignment.
Thus, as an alternative embodiment, as shown in fig. 6, the first base station continuously tracks the user and detects obstacles using the first beam of the periodic scanning transmission. When the fact that the moving speed of the user equipment is larger than the communication limit is detected, the first base station sends an intra-cell beam switching instruction to the user equipment, wherein the intra-cell beam switching instruction is used for carrying out beam switching in a signal cell of the first base station, and then the first base station immediately sends the first beam additionally, so that the speed, the position of an obstacle and other information of the user equipment can be conveniently detected, the optimal beam distribution ratio of subsequent communication is estimated, and the user equipment is assisted in carrying out beam switching.
As shown in fig. 3, in an exemplary embodiment, step S140 may further include sub-step S143 and sub-step S144.
Substep S143: if the first base station does not detect the obstacle through the first beam, and detects that the moving speed of the user equipment is not larger than the communication limit of the first base station, and the first base station does not receive a first beam alignment notification sent by the user equipment, the network parameter at the current moment is obtained again, and the sensing resource grid parameter is increased.
Substep S144: and according to the obtained network parameters, the random geometric model and the increased sensing resource grid parameters, obtaining the optimal beam distribution ratio at the current moment again.
In this embodiment, if the first base station does not detect an obstacle, the moving speed of the ue is not greater than the communication limit, but the first base station does not receive the first beam alignment notification, the sensing resource of the first beam may be too small, and the sensing function may be insufficient.
As an alternative embodiment, increasing the perceptual resource grid parameter may increase the resource allocated to the perceptual functionality by the first beam.
In this embodiment, the step of re-acquiring the optimal beam distribution ratio at the current time may refer to the contents of step S111 and step S112 in the foregoing embodiment, and details are not repeated here.
As shown in FIG. 7, FIG. 7 illustrates the beam misalignment probability
Number of beams to base station
In particular, fig. 7 shows the following: in a high-speed scenario, the experimental relationship curve 710 without using the method of the present application, the experimental relationship curve 740 using the method of the present application, and the simulation relationship curve 760 using the method of the present application are shown, where as an optional implementation manner, the high-speed scenario refers to a situation where the ue moves faster and has a lower densityThe scene (c); fig. 7 also shows: in an urban scene, the experimental relationship curve 720 without the application method, the experimental relationship curve 730 with the application method, and the simulation relationship curve 750 with the application method are used, wherein as an optional implementation manner, the urban scene refers to a scene with a slow moving speed of the user equipment and a high density of the user equipment. In a high-speed scene, the experimental relationship curve 740 and the simulation relationship curve 760 using the method of the present application are highly overlapped, and in an urban scene, the experimental relationship curve 730 and the simulation relationship curve 750 using the method of the present application are highly overlapped, which indicates that the accuracy of the experimental result provided in fig. 7 is high.
As can be seen from fig. 7, when the method of the present application is used for beam alignment, the beam misalignment probability can be reduced by 77.8% in a high-speed scene, and the beam misalignment probability can be reduced by 63.5% in an urban scene. Therefore, under the condition of meeting the same beam switching stability requirement, namely meeting the same beam alignment probability, the base station can send more beams by using the beam alignment method provided by the application, so that a larger communication coverage range is realized.
As can also be seen from fig. 7, as the number of beams emitted by the base station increases, the misalignment probability of a beam emitted without using the method of the present application increases rapidly, and the beam alignment performance deteriorates rapidly, while the misalignment probability of a beam emitted by using the method of the present application only increases by a small amount, and the beam alignment performance is still better. Therefore, the beam alignment method provided by the application can reduce the problem of beam misalignment caused by the increase of the beams emitted by the base station.
As shown in FIG. 8, FIG. 8 illustrates the beam misalignment probability
Ratio of beam distribution
Fig. 8 shows, in particular: in a high-speed scene, the experimental relationship curve 810 without the method and the experimental relationship curve using the method
An experimental relationship curve 850 at 4000, using the method of the present application and
a simulation relationship curve 880 at 4000, where as an optional implementation, the high-speed scenario refers to a scenario in which the user equipment moves faster and has a lower density; fig. 8 also shows: in urban scene, the experimental relationship curve 820 without the application method and the experimental relationship curve using the application method
An experimental relationship curve 830 at 2000, using the method of the present application and
a simulation relationship curve 860 of 2000, using the method of the present application and
experimental relationship curve 840 at 4000, using the method of the present application and
the simulated relationship curve 870 at 4000, wherein, as an optional implementation, the urban scene refers to a scene where the user equipment moves at a slower speed and has a higher density of user equipment. In a high-speed scene, the method is used and
the experimental relationship curve 850 is highly coincident with the simulation relationship curve 880 at 4000 hours, and the method is used in urban scene
The experimental relationship curve 830 and the simulation relationship curve 860 are highly coincident at 2000, using the method of the present application
The experimental relationship curve 840 at 4000 is highly coincident with the simulated relationship curve 870, illustrating that the experimental results provided by FIG. 8 are more accurate.
As can be seen from fig. 8, when the method of the present application is used for beam alignment, the optimal time-frequency allocation ratio remains unchanged for a scenario with different user equipment moving speeds and different user equipment densities, so that the beam alignment method provided by the present application is suitable for a network with a high dynamic random access characteristic, and can provide stable and consistent beam performance in a scenario with constantly changing node densities and speeds.
As shown in FIG. 9, FIG. 9 illustrates the beam misalignment probability
Occupying bandwidth with a first beam
Fig. 9 shows, in particular: number of wave numbers
At 64, the experimental relationship curve 910 using the method of the present application, the experimental relationship curve 930 using the method of the present application, and the simulation relationship curve 950 using the method of the present application; fig. 9 also shows: number of wave numbers
At 32, the experimental relationship curve 920 using the method of the present application, the experimental relationship curve 940 using the method of the present application, and the simulation relationship curve 960 using the method of the present application are not used. Number of wave numbers
At 64, the experimental relationship curve 930 using the method of the present application is highly coincident with the simulation relationship curve 950, and the number of wavenumbers
At 32, use this applicationPlease refer to the experimental relationship curve 940 of the method highly overlapping the simulation relationship curve 960, which illustrates that the accuracy of the experimental result provided by fig. 9 is higher.
As can be seen from fig. 9, in the case that the duration of the first beam is fixed, the beam misalignment probability can still be significantly reduced by only adjusting the occupied bandwidth of the first beam, so as to compensate the influence of the insufficient duration of the first beam on the beam alignment. Therefore, the beam alignment method provided by the application has better flexibility, and can obtain remarkable performance gain only by adjusting the bandwidth of the first beam.
The embodiment provides a beam alignment method, which generates a first beam according to an optimal beam allocation ratio, so that the first beam can simultaneously realize a better sensing function and a better communication function, and further preconditions are provided for beam alignment. The method also comprises the steps of sending a first wave beam generated according to the optimal distribution ratio of the wave beams to the user equipment, detecting whether an obstacle exists in the communication process between the first base station and the user equipment, and receiving a first wave beam alignment notice sent by the user equipment when the obstacle is not detected, so that the effect of wave beam alignment is achieved. The method can also carry out the beam switching between the cells when the obstacle is detected, and avoid the communication blocked by the obstacle. The method can also carry out the switching of the wave beams in the cell when the obstacle is not detected but the speed of the user equipment is detected to be too high, so as to avoid that the user sets the first wave beam with too high speed to receive the first wave beam at the next moment. According to the method, when the obstacle is not detected and the user speed is not detected too fast, the sensing resource grid parameters are increased so that the first wave beam can obtain more sensing resources, the accuracy of the sensing function is improved, the effect of wave beam alignment is achieved, and the problem of wave beam misalignment in millimeter wave and terahertz communication methods is solved.
Example 2
Referring to fig. 10, fig. 10 is a block diagram of a beam alignment apparatus 1000 according to embodiment 2 of the present application. The apparatus may include: an acquiring unit 1010, a beam generating unit 1020, a first transmitting unit 1030, a determining unit 1040, and a processing unit 1050.
An obtaining unit 1010, configured to obtain, in step S110 in embodiment 1, an optimal beam allocation ratio at the current time, where the optimal beam allocation ratio is used to allocate the sensing resource and the communication resource of a beam when a beam misalignment probability is minimum, where the beam misalignment probability is a probability that a beam emitted by the first base station and the user equipment cannot be aligned.
A beam generating unit 1020, configured to generate a first beam at the current time according to the optimal beam distribution ratio at the current time, where the first beam is used to sense an environment at the current time through the allocated sensing resources, and is also used to communicate with the user equipment through the allocated communication resources.
A first transmitting unit 1030, configured to transmit the first beam to the user equipment.
A determining unit 1040, configured to detect whether an obstacle exists between the first base station and the user equipment through the first beam.
A processing unit 1050, configured to complete beam alignment if the first base station does not detect the obstacle through the first beam, and the first base station communicates with the user equipment through the first beam and receives a first beam alignment notification sent by the user equipment.
As an alternative embodiment, the beam alignment apparatus 1000 further includes a second transmitting unit and a receiving unit.
The second transmitting unit is configured to transmit a sounding beam in a beam scanning manner, where the sounding beam is used for communicating with a terminal device within a coverage area of the first base station.
The receiving unit is configured to receive a user connection notification sent by a terminal device in a coverage area of the first base station, and determine that the terminal device is the user device.
As an alternative embodiment, the acquiring unit 1010 further includes an acquiring subunit and a calculating subunit.
As an optional implementation manner, the determining unit 1040 further includes a detecting subunit, configured to detect a moving speed of the user equipment, and the determining unit 1040 is further configured to detect whether the obstacle exists near a communication line between the first base station and the user equipment, and detect whether the moving speed of the user equipment is greater than a communication limit;
the processing unit 1050 is further configured to formulate an execution policy according to the result fed back by the determining unit 1040, where the execution policy includes:
if the determining unit 1040 detects the obstacle, the first base station sends an inter-cell beam switching instruction to the user equipment and the second base station, and the second base station performs beam alignment with the user equipment;
if the determining unit 1040 does not detect the obstacle and detects that the moving speed of the ue is greater than the communication limit, the first base station immediately transmits the first beam;
if the determining unit 1040 does not detect the obstacle, and detects that the moving speed of the ue is not greater than the communication limit of the first base station, and the processing unit 1050 does not receive the first beam alignment notification sent by the ue, the acquiring sub-unit is notified to re-acquire the network parameter at the current time, increase the sensing resource grid parameter, and notify the calculating sub-unit to re-calculate the beam optimal allocation ratio, so that the acquiring unit 1010 re-acquires the beam optimal allocation ratio at the current time.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and modules may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, the coupling between the modules may be electrical, mechanical or other type of coupling.
In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
Example 3
Referring to fig. 11, fig. 11 is a block diagram of a base station 1100 according to embodiment 3 of the present application. The base station 1100 in the present application may include one or more of the following components: memory 1110, processor 1120, and one or more applications, wherein the one or more applications may be stored in memory 1110 and configured to be executed by the one or more processors 1120, the one or more programs configured to perform a method as described in the aforementioned method embodiments.
The Memory 1110 may include a Random Access Memory (RAM) or a Read-Only Memory (ROM). The memory 1110 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 1110 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for implementing at least one function (such as an inter-cell beam switching function, an intra-cell beam switching function, etc.), instructions for implementing various method embodiments described below, and the like. The storage data area may also store data created by the base station 1100 in use, such as moving speed data of the user equipment, position data of obstacles, and the like.
Processor 1120 may include one or more processing cores. The processor 1120, which interfaces and lines to various parts throughout the base station 1100, performs various functions of the base station 1100 and processes data by executing or performing instructions, programs, code sets, or instruction sets stored in the memory 1110, and calling data stored in the memory 1110. Alternatively, the processor 1120 may be implemented in hardware using at least one of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 1120 may integrate one or more of a Central Processing Unit (CPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, an application program and the like; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the processor 1120, but may be implemented by a communication chip.
Example 4
Referring to fig. 12, fig. 12 is a block diagram illustrating a structure of a computer-readable storage medium according to embodiment 4 of the present application. The computer-readable storage medium 1200 has stored therein program code that can be called by a processor to execute the methods described in the above-described method embodiments.
The computer-readable storage medium 1200 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM (erasable programmable read only memory), a hard disk, or a ROM. Alternatively, the computer-readable storage medium 1200 includes a non-volatile computer-readable storage medium. The computer readable storage medium 1200 has storage space for program code 1210 that performs any of the method steps described above. The program code can be read from or written to one or more computer program products. The program code 1210 may be compressed, for example, in a suitable form.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not necessarily depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (9)
1. A method of beam alignment, the method comprising:
s110, the first base station acquires the network parameters, the sensing resource grid parameters and the random geometric model at the current moment,
wherein the network parameter of the current time comprises a center frequency
Length of symbol
Spacing of subcarriers
Network node density of the first base station
Network node density of user equipment
Network node density of obstacles
Number of beams of said first base station
Number of beams of said user equipment
Density of beam switching points
And is and
the perceptual resource grid parameters
The random geometric model is the beam misalignment probability and the beam distribution ratio for sensing the number of the total resource grids occupied by the resources
Function of (2)
，
Wherein the content of the first and second substances,
，
，
and the first base station obtains the current time according to the network parameters, the sensing resource grid parameters and the random geometric model at the current time
Minimum beam allocation ratio
The optimal beam distribution ratio is used for distributing sensing resources and communication resources of beams under the condition that the misalignment probability of the beams is minimum, and the misalignment probability of the beams is the probability that the beams sent by the first base station cannot be aligned with user equipment;
s120, generating a first wave beam at the current moment according to the optimal distribution ratio of the wave beam at the current moment, wherein the first wave beam is used for sensing the environment at the current moment through the distributed sensing resources and is also used for communicating with the user equipment through the distributed communication resources;
s130, sending the first wave beam to the user equipment in a set period, and detecting whether an obstacle exists between the first base station and the user equipment through the first wave beam;
s140. if the first base station does not detect the obstacle through the first beam, and the first base station communicates with the user equipment through the first beam, and receives a first beam alignment notification sent by the user equipment, the beam alignment is completed.
2. The beam alignment method of claim 1, wherein the step S130 further comprises:
sending the first wave beam to the user equipment at a set period, and detecting whether the obstacle exists in the vicinity of a communication line between the first base station and the user equipment or not through the first wave beam;
the step S140 further includes:
and if the obstacle is detected to exist near the communication line, the first base station sends an inter-cell beam switching instruction to the user equipment and the second base station, and the second base station performs beam alignment with the user equipment.
3. The beam alignment method of claim 1, wherein the step S130 further comprises:
detecting the moving speed and the moving path of the user equipment through the first wave beam, and detecting whether an obstacle exists between the first base station and the user equipment in the process that the user equipment moves according to the moving speed and the moving path;
the step S140 further includes:
if the first base station does not detect the obstacle through the first beam and detects that the moving speed of the user equipment is greater than the communication limit of the first base station, the first base station immediately sends the first beam, and the communication limit
Wherein, in the process,
is an average beam coverage, and
。
4. the beam alignment method of claim 3, wherein the step S140 further comprises:
if the first base station does not detect the obstacle through the first beam, detects that the moving speed of the user equipment is not greater than the communication limit of the first base station, and does not receive a first beam alignment notification sent by the user equipment, reacquires the network parameters at the current moment and increases the perceived resource grid parameters;
and according to the obtained network parameters, the random geometric model and the increased sensing resource grid parameters, obtaining the optimal beam distribution ratio at the current moment again.
5. The beam alignment method of claim 1, further comprising, before the step S110:
the first base station sends a detection beam in a beam scanning mode, wherein the detection beam is used for communicating with terminal equipment within the coverage range of the first base station;
and the first base station receives a user connection notification sent by the terminal equipment within the coverage range of the first base station, and confirms that the terminal equipment is the user equipment.
6. A beam alignment apparatus, comprising:
an obtaining unit, configured to obtain, in step S110 of claim 1, an optimal beam allocation ratio at a current time, where the optimal beam allocation ratio is used to allocate the sensing resource and the communication resource of a beam with a minimum beam misalignment probability, where the beam misalignment probability is a probability that a beam emitted by the first base station cannot be aligned with the user equipment;
the beam generating unit is used for generating a first beam at the current moment according to the optimal beam distribution ratio at the current moment, wherein the first beam is used for sensing the environment at the current moment through the distributed sensing resources and is also used for communicating with the user equipment through the distributed communication resources;
a first transmitting unit, configured to transmit the first beam to the user equipment;
a determining unit, configured to detect whether an obstacle exists between the first base station and the user equipment through the first beam;
a processing unit, configured to complete beam alignment if the first base station does not detect the obstacle through the first beam, and the first base station communicates with the user equipment through the first beam and receives a first beam alignment notification sent by the user equipment.
7. The beam alignment apparatus of claim 6, further comprising a second transmitting unit configured to transmit a probe beam in a beam scanning manner, wherein the probe beam is used for communicating with a terminal device in the coverage of the first base station;
a receiving unit, configured to receive a user connection notification sent by a terminal device within a coverage area of the first base station, and confirm that the terminal device is the user device;
the judging unit further comprises a detecting subunit, the detecting subunit is configured to detect a moving speed of the user equipment, the judging unit is further configured to detect whether the obstacle exists near a communication line between the first base station and the user equipment, and is configured to detect whether the moving speed of the user equipment is greater than a communication limit;
the processing unit is further configured to formulate an execution policy according to a result fed back by the determining unit, where the execution policy includes:
if the judging unit detects the obstacle, the first base station sends an inter-cell beam switching instruction to the user equipment and a second base station, and the second base station performs beam alignment with the user equipment;
if the judging unit does not detect the obstacle and detects that the moving speed of the user equipment is greater than the communication limit, the first base station immediately sends the first wave beam;
if the judging unit does not detect the obstacle, and detects that the moving speed of the user equipment is not greater than the communication limit of the first base station, and the processing unit does not receive a first beam alignment notification sent by the user equipment, the acquiring subunit is notified to acquire the network parameter at the current moment again, the sensing resource grid parameter is increased, and the calculating subunit is notified to recalculate the beam optimal distribution ratio, so that the acquiring unit acquires the beam optimal distribution ratio at the current moment again.
8. A base station, comprising:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to perform the method of any of claims 1-5.
9. A computer-readable storage medium having program code stored therein, the program code being invoked by a processor to perform the method of any of claims 1-5.
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Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114553284B (en) * | 2022-04-27 | 2022-07-05 | 四川太赫兹通信有限公司 | Beam alignment method, device, base station and computer readable storage medium |
| CN114785393B (en) * | 2022-06-21 | 2022-09-02 | 四川太赫兹通信有限公司 | Self-adaptive beam width determining method, system, base station and medium |
| CN114900234B (en) * | 2022-07-14 | 2022-10-21 | 四川太赫兹通信有限公司 | Terahertz frequency spectrum environment map construction method and equipment |
| CN117440396A (en) * | 2022-07-14 | 2024-01-23 | 维沃移动通信有限公司 | Perception processing method, device, terminal and equipment |
| CN114994595A (en) * | 2022-08-03 | 2022-09-02 | 四川太赫兹通信有限公司 | Direction-of-arrival acquisition method, terahertz phased array beam control method and system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106888041A (en) * | 2015-12-14 | 2017-06-23 | 北京信威通信技术股份有限公司 | Space division multiple access resources distribution method and system based on wave beam forming |
| EP3667938A4 (en) * | 2017-08-30 | 2020-06-17 | Beijing Xiaomi Mobile Software Co., Ltd. | Methods and devices for reporting and determining optimal beam, user equipment, and base station |
| CN112261609A (en) * | 2020-10-16 | 2021-01-22 | 北京邮电大学 | Millimeter wave internet of vehicles resource allocation method and device, electronic equipment and storage medium |
Family Cites Families (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3120642B1 (en) * | 2014-03-17 | 2023-06-07 | Ubiquiti Inc. | Array antennas having a plurality of directional beams |
| US10057787B2 (en) * | 2016-04-06 | 2018-08-21 | Futurewei Technologies, Inc. | System and method for millimeter wave communications |
| US11140562B2 (en) * | 2017-01-11 | 2021-10-05 | Huawei Technologies Co., Ltd. | Antenna beam management for multi-connection communications |
| CN109391997B (en) * | 2017-08-04 | 2022-11-04 | 华为技术有限公司 | Method, equipment and system for coordinating interference among cells and reporting measurement |
| CN111630936A (en) * | 2017-12-30 | 2020-09-04 | 英特尔公司 | Method and apparatus for wireless communication |
| US10098014B1 (en) * | 2018-01-31 | 2018-10-09 | Toyota Jidosha Kabushiki Kaisha | Beam alignment using shared driving intention for vehicular mmWave communication |
| US10469619B2 (en) * | 2018-02-01 | 2019-11-05 | Toyota Jidosha Kabushiki Kaisha | Vehicular millimeter wave communication for non-line of sight scenarios |
| CN108391316B (en) * | 2018-05-31 | 2020-12-01 | 北京邮电大学 | Wave beam distribution method |
| US11646783B2 (en) * | 2018-09-24 | 2023-05-09 | Nxp Usa, Inc. | Optimal beamforming in millimeter-wave cellular networks using a single composite random access preamble |
| CN109347525B (en) * | 2018-10-18 | 2021-05-11 | 南京邮电大学 | Adaptive multi-beam forming and beam switching method for millimeter-wave high-speed rail train-ground communication |
| US10827548B2 (en) * | 2018-10-19 | 2020-11-03 | Toyota Jidosha Kabushiki Kaisha | Efficient beam tracking for vehicular millimeter wave communication |
| CN109474326B (en) * | 2018-11-16 | 2019-08-30 | 清华大学 | Beam switching method and device |
| US10530451B1 (en) * | 2019-01-23 | 2020-01-07 | Toyota Jidosha Kabushiki Kaisha | Modifying a millimeter wave radio based on a beam alignment feedback |
| US20220124513A1 (en) * | 2019-02-12 | 2022-04-21 | Mitsubishi Electric Corporation | Communication system, communication terminal, and base station |
| CN110365375B (en) * | 2019-06-26 | 2021-06-08 | 东南大学 | Beam alignment and tracking method in millimeter wave communication system and computer equipment |
| CN110401932B (en) * | 2019-07-26 | 2020-06-05 | 北京邮电大学 | Unmanned aerial vehicle group cooperative sensing system and method |
| CN110650525B (en) * | 2019-08-12 | 2022-05-03 | 浙江工业大学 | Multi-beam distributed power MAC protocol communication method |
| CN112751596B (en) * | 2019-10-31 | 2022-08-02 | 中国电信股份有限公司 | Apparatus and method for millimeter wave beam alignment |
| CN110971279B (en) * | 2019-12-30 | 2021-09-21 | 东南大学 | Intelligent beam training method and precoding system in millimeter wave communication system |
| CN111526499B (en) * | 2020-04-17 | 2022-05-17 | 中南大学 | Vehicle-mounted terminal communication method based on online learning and millimeter wave beam selection |
| CN113965874B (en) * | 2020-07-03 | 2023-04-07 | 大唐移动通信设备有限公司 | Wave beam forming signal sending method and base station equipment |
| CN111988125B (en) * | 2020-08-31 | 2021-09-03 | 西安电子科技大学 | Wave beam alignment method of millimeter wave integrated communication system compatible with C wave band |
| CN112616189B (en) * | 2020-12-10 | 2022-09-09 | 北京邮电大学 | Static and dynamic combined millimeter wave beam resource allocation and optimization method |
| CN114114150A (en) * | 2021-11-26 | 2022-03-01 | 东南大学 | Wireless positioning method for communication perception integration |
| CN114553284B (en) * | 2022-04-27 | 2022-07-05 | 四川太赫兹通信有限公司 | Beam alignment method, device, base station and computer readable storage medium |
-
2022
- 2022-04-27 CN CN202210449891.3A patent/CN114553284B/en active Active
- 2022-06-21 WO PCT/CN2022/100149 patent/WO2023206754A1/en unknown
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106888041A (en) * | 2015-12-14 | 2017-06-23 | 北京信威通信技术股份有限公司 | Space division multiple access resources distribution method and system based on wave beam forming |
| EP3667938A4 (en) * | 2017-08-30 | 2020-06-17 | Beijing Xiaomi Mobile Software Co., Ltd. | Methods and devices for reporting and determining optimal beam, user equipment, and base station |
| CN112261609A (en) * | 2020-10-16 | 2021-01-22 | 北京邮电大学 | Millimeter wave internet of vehicles resource allocation method and device, electronic equipment and storage medium |
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| WO2023206754A1 (en) | 2023-11-02 |
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