Processing method based on sensing-assisted communication

By acquiring detection information of mobile targets through sensing cells, beam adjustment and frequency offset pre-compensation are performed, solving the problems of large latency and low success rate of high-speed mobile user access or handover. This achieves more efficient beam coverage and frequency offset compensation, and improves the success rate of access and handover.

WO2026001498A1PCT designated stage Publication Date: 2026-01-02ZTE CORP

Patent Information

Application Number
PCT/CN2025/097218
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-06-27
Filing Date
2025-05-26
Publication Date
2026-01-02

AI Technical Summary

Technical Problem

High-speed mobile users cannot perform frequency offset compensation in a timely manner during access or handover, resulting in large delays, low success rates, and fixed beam count and coverage area, leading to insufficient control precision.

Method used

By acquiring mobile target detection information through sensing cells, beam adjustment and/or frequency offset pre-compensation are performed, including calculating Doppler frequency offset values ​​and filtering, adaptively adjusting downlink beam coverage, and performing frequency offset pre-compensation to improve access and handover success rates.

Benefits of technology

It improves the success rate of mobile users' access and handover in communication cells, reduces latency, and optimizes the accuracy of beam coverage.

✦ Generated by Eureka AI based on patent content.

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Abstract

Provided in the embodiments of the present disclosure is a processing method based on sensing-assisted communication. The method comprises: receiving detection information of a moving target sensed by a sensing cell; and on the basis of the detection information, performing beam adjustment and / or frequency offset pre-compensation. The method can solve the problems in the relevant art of access / handover latency being relatively long and an access / handover success rate being relatively low since it is impossible to perform frequency offset compensation in a timely manner on a user moving at a high speed, and control not being accurate enough since the number of beams and the coverage range are fixed.
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Description

A processing method for perception-assisted communication

[0001] Cross-references to related applications

[0002] This disclosure is based on and claims priority to Chinese patent application CN202410849869.7, filed on June 27, 2024, entitled “A Processing Method for Perception-Assisted Communication”, the entire contents of which are incorporated herein by reference. Technical Field

[0003] This disclosure relates to the field of wireless communication technology, and more specifically, to a processing method for sensing-assisted communication. Background Technology

[0004] Mobile users, especially high-speed mobile users, do not receive accurate frequency offset information during the access phase, making timely frequency offset compensation impossible. This results in significant access latency and a low access success rate. The same applies to cell handover, leading to prolonged handover latency and a low handover success rate. For base station communication cells, regardless of whether a fixed wide or narrow beam is configured, the corresponding generation weights, number of beams, and coverage area are fixed, resulting in imprecise control. For a specific mobile user, the beam is always too wide.

[0005] No solution has yet been proposed to address the issues that high-speed mobile users cannot receive timely frequency offset compensation in related technologies, resulting in large access or handover delays, low success rates, and fixed beam counts and coverage areas, leading to imprecise control. Summary of the Invention

[0006] This disclosure provides a processing method for sensing-assisted communication, which at least solves the problems in related technologies where high-speed mobile users cannot perform frequency offset compensation in a timely manner, resulting in large access or handover delays, low success rates, and fixed beam counts and coverage areas, leading to insufficient control precision.

[0007] According to one embodiment of this disclosure, a processing method for sensing-assisted communication is provided, applied to a communication cell, the method comprising:

[0008] Receive detection information of moving targets sensed by the sensing cell;

[0009] Beam adjustment and / or frequency offset pre-compensation are performed based on the detection information.

[0010] According to another embodiment of this disclosure, a processing apparatus for sensing-assisted communication is provided, applied in a communication cell, the apparatus comprising:

[0011] The receiving module is configured to receive detection information of moving targets sensed by the sensing cell;

[0012] The processing module is configured to perform beam adjustment and / or frequency offset pre-compensation based on the detection information.

[0013] According to yet another embodiment of this disclosure, a computer program product is also provided, including computer program instructions, wherein the computer program instructions cause a computer to perform the steps in any of the above method embodiments.

[0014] According to yet another embodiment of this disclosure, a computer-readable storage medium is also provided, wherein a computer program is stored therein, wherein the computer program is configured to perform the steps in any of the above method embodiments when executed.

[0015] According to yet another embodiment of this disclosure, an electronic device is also provided, including a memory and a processor, wherein the memory stores a computer program and the processor is configured to run the computer program to perform the steps in any of the above method embodiments. Attached Figure Description

[0016] Figure 1 is a hardware structure block diagram of a computer device for a processing method of perception-assisted communication according to an embodiment of the present disclosure;

[0017] Figure 2 is a flowchart of a processing method for perception-assisted communication according to an embodiment of the present disclosure;

[0018] Figure 3 is a flowchart of a processing method for perception-assisted communication according to an optional embodiment of the present disclosure;

[0019] Figure 4 is a schematic diagram of beam adaptive adjustment coverage of mobile users according to an embodiment of the present disclosure;

[0020] Figure 5 is a schematic diagram of beam adaptive adjustment coverage of mobile users according to an embodiment of the present disclosure;

[0021] Figure 6 is a block diagram of a processing apparatus for perception-assisted communication according to an embodiment of the present disclosure;

[0022] Figure 7 is a system block diagram of the interaction between the sensing cell and the communication cell according to an embodiment of the present disclosure. Detailed Implementation

[0023] The embodiments of this disclosure will be described in detail below with reference to the accompanying drawings and examples.

[0024] It should be noted that the terms "first," "second," etc., in the specification, claims, and drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0025] The method embodiments provided in this disclosure can be executed in a computer device or similar computing device. Taking a computer device as an example, FIG1 is a hardware structure block diagram of a computer device for the processing method of perception-assisted communication according to an embodiment of this disclosure. As shown in FIG1, the computer device may include one or more (only one is shown in FIG1) processors 102 (processor 102 may include, but is not limited to, a microprocessor MCU or a programmable logic device, etc.) and a memory 104 configured to store data. The computer device may also include a transmission device 106 configured for communication functions and an input / output device 108. It will be understood by those skilled in the art that the structure shown in FIG1 is only illustrative and does not limit the structure of the computer device. For example, the computer device may also include more or fewer components than shown in FIG1, or have a different configuration than shown in FIG1.

[0026] The memory 104 may be configured to store computer programs, such as application software programs and modules, like the computer program corresponding to the perception-assisted communication processing method in this embodiment. The processor 102 executes various functional applications and board matching by running the computer program stored in the memory 104, thus implementing the aforementioned method. The memory 104 may include high-speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to computer devices via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0027] The transmission device 106 is configured to receive or send data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider for the computer equipment. In one example, the transmission device 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 106 may be a Radio Frequency (RF) module configured to communicate with the Internet wirelessly.

[0028] This embodiment provides a processing method for perception-assisted communication running on the aforementioned computer device. Figure 2 is a flowchart of the processing method for perception-assisted communication according to an embodiment of this disclosure. As shown in Figure 2, the process includes the following steps:

[0029] Step S202: Receive detection information of moving targets sensed by the sensing cell;

[0030] Step S204: Perform beam adjustment and / or frequency offset pre-compensation based on the detection information.

[0031] Through the above steps S202 to S204, the problems in related technologies, such as the inability of high-speed mobile users to perform frequency offset compensation in a timely manner, resulting in large access or handover delays, low success rates, and fixed beam counts and coverage areas with insufficient control, can be solved. Based on the detection information obtained from the sensing cell, frequency offset pre-compensation is performed on the access or handover signals, thereby improving the success rate of cell access and handover for the mobile user in the communication cell and reducing the cell access and handover delays for the mobile user; and it can adaptively adjust the downlink beam coverage of the communication cell.

[0032] Figure 3 is a flowchart of a processing method for perception-assisted communication according to an optional embodiment of the present disclosure. As shown in Figure 3, step S204 may specifically include:

[0033] Step S302: Determine the Doppler frequency offset value of the moving target relative to the base station based on the detection information;

[0034] Step S304: When a mobile target accesses or switches to a communication cell, frequency offset pre-compensation is performed on the uplink signal and / or downlink signal based on the Doppler frequency offset value.

[0035] The Doppler frequency offset value in step S302 above can be obtained directly from the detection information or calculated based on the detection information. Specifically, if the detection information includes the Doppler frequency offset value generated when the mobile target accesses or switches to the communication cell, the Doppler frequency offset value generated by the mobile target relative to the base station is obtained from the detection information; or the Doppler frequency offset value generated by the mobile target relative to the base station is determined based on the detection information. The Doppler frequency offset value in the detection information is calculated by the sensing cell. Specifically, the Doppler frequency offset value can be calculated as follows: f = (v*f0) / (c*cosθ), where f is the Doppler frequency offset value, f0 is the carrier frequency, c is the transmission speed of electromagnetic waves, v is the moving speed of the mobile target, and θ is the angle between the direction of the mobile target and the signal propagation direction of the base station. Alternatively, the Doppler frequency offset value can be calculated as follows: calculate the phase difference Δφ of the sensing signal within a fixed time Δt, and then use the formula f = Δφ / (2π*Δt).

[0036] In one embodiment, determining the Doppler frequency offset value of the moving target relative to the base station based on the detection information may specifically include: obtaining the position of the moving target, the angle between the moving target's direction of movement and the signal propagation direction of the base station, and the moving speed of the moving target from the detection information; determining the moving direction of the moving target based on the position of the moving target; and calculating the Doppler frequency offset value based on the angle between the moving target's direction of movement and the signal propagation direction of the base station, as well as the moving speed.

[0037] In another embodiment, calculating the Doppler frequency offset value of the moving target relative to the base station based on the detection information may further include: obtaining the carrier frequency and the transmission speed of electromagnetic waves; and determining the Doppler frequency offset value based on the Doppler principle, according to the moving speed of the moving target, the angle between the moving target's direction of movement and the signal propagation direction of the base station, the carrier frequency, and the transmission speed of electromagnetic waves. Further, the Doppler frequency offset value can be determined in the following ways:

[0038] f = (v*f0) / (c*cosθ), where f is the Doppler frequency offset, f0 is the carrier frequency, c is the transmission speed of electromagnetic waves, v is the moving speed of the moving target, and θ is the angle between the direction of the moving target and the signal propagation direction of the base station.

[0039] In one embodiment, the Doppler frequency offset value is filtered using historical Doppler frequency offset values. Specifically, filtering can be performed based on pre-set filtering coefficients, for example, for f' = α*f + (1-α)*f d f' is the filtered Doppler frequency offset value, f d This represents the historical Doppler frequency offset value.

[0040] Furthermore, the method also includes updating the filtered Doppler frequency offset value to the historical Doppler frequency offset value.

[0041] In this embodiment of the present disclosure, step S204, which involves adjusting the beam based on the detection information, specifically adjusting the downlink beam, may include:

[0042] S2041, Obtain the position of the moving target, the angle between the moving target's direction of movement and the signal propagation direction of the base station, and the moving speed of the moving target from the detection information;

[0043] S2042, adjust downlink beam coverage according to the location of the moving target, the angle between the moving target's direction of movement and the base station's signal propagation direction, and the moving speed of the moving target.

[0044] Furthermore, S2042 may specifically include: adjusting the beamwidth and azimuth angle of the beam covering the moving target based on the location of the moving target, the angle between the moving target's direction of movement and the signal propagation direction of the base station, and the moving speed of the moving target; transmitting a downlink beam according to the adjusted beamwidth and azimuth angle of the beam covering the moving target, so that the beam covers the moving target. The beam coverage adjustment process may include: after receiving a moving target from the sensing cell, the communication cell periodically adjusts the beamwidth and azimuth angle of the beam used to cover the moving target based on the target's location and speed information, and schedules the transmission of the beam during the beam transmission period, so that the beam covers the moving target. Other beams are used based on the same principle to cover targets with low movement speed or stationary locations in other parts of the communication cell.

[0045] In one embodiment, the method further includes: transmitting the frequency-off pre-compensated downlink signal after performing frequency offset pre-compensation on the downlink signal based on the Doppler frequency offset value; or performing channel estimation after performing frequency offset pre-compensation on the uplink signal based on the Doppler frequency offset value.

[0046] This embodiment of the disclosure detects and obtains the location, angle, and speed information of a mobile user in a sensing cell, and then sends this information to communication cells with the same beam coverage or adjacent cells. The communication cell can adaptively adjust the number of downlink beams and beam weight generation parameters accordingly, reducing redundant coverage while using a narrower beam to cover the mobile user. Furthermore, it can calculate the Doppler frequency offset value generated by the mobile user during access or handover. At the beginning of the actual access or handover process, the calculated Doppler frequency offset value can be used to pre-compensate the frequency offset of the incoming signal, thereby improving the success rate of cell access and handover in the communication cell and reducing the latency of cell access and handover. Furthermore, the specific process of frequency offset pre-compensation may include: for uplink frequency offset pre-compensation, after converting the air interface signal into a frequency domain signal, frequency offset pre-compensation is performed on the frequency domain position of the communication signal of the mobile target, and then channel estimation and channel equalization are performed on the signal; for downlink frequency offset pre-compensation, after the frequency domain data resource block mapping and modulation shaping are converted to the time domain by IFFT, frequency offset pre-compensation is performed, and then the air interface signal is transmitted.

[0047] By leveraging prior information about mobile users obtained from sensing cells, the downlink beam coverage of communication cells can be optimized to improve uplink reception and downlink transmission performance during cell access and handover. Based on a sensing cell under an integrated sensing base station, sensing target detection technology is used to obtain the Range-Doppler map of the mobile target and its angle information relative to the base station, and this information is continuously transmitted to neighboring or co-located co-frequency communication cells. The communication cell uses this information to dynamically and adaptively adjust its downlink beam coverage and pre-estimates the Doppler frequency offset value of the mobile user relative to the base station. When a user accesses or hands over to a cell of this base station, the base station can use this Doppler frequency offset value to perform frequency offset pre-compensation for uplink and downlink signals. This mainly includes:

[0048] Step 1: Activate communication cells and sensing cells that include integrated communication and sensing base stations.

[0049] Step 2: Create a sensing task in the sensing cell. The sensing cell periodically detects and identifies information such as the angle, speed and position of moving targets.

[0050] Step 3: After the sensing cell confirms that a moving target has been detected, the above information is continuously sent to the relevant communication cell.

[0051] Step 4: Based on the target's sensing and detection information (angle, speed, and position), the communication cell can determine the target's direction of movement, angle, and speed, and calculate and maintain the Doppler frequency offset value generated by the target during cell access or cell handover.

[0052] Step 5: The communication cell performs near-frequency offset pre-compensation based on the Doppler frequency offset value.

[0053] In one embodiment, frequency offset pre-compensation is performed on high-speed rail users in the communication cell using frequency offset information from the sensing cell, specifically including:

[0054] 1. Create sensing tasks in the sensing community.

[0055] 2. After the sensing cell confirms the detection of the high-speed rail, it continuously estimates the channel of the sensing signal and calculates the phase difference Δφ of the sensing signal within a fixed time Δt. Then, it calculates the corresponding frequency offset using the formula f=Δφ / (2π*Δt) and sends the frequency offset information to the relevant communication cell. The frequency offset information includes the Doppler frequency offset value.

[0056] 3. The communication cell filters the currently calculated Doppler frequency offset value and the historical Doppler frequency offset value to obtain the filtered Doppler frequency offset value f' = α*f + (1-α)*f d α is a pre-set filter coefficient.

[0057] The filtered Doppler frequency offset value is used for frequency offset pre-compensation of the uplink and downlink signals of the high-speed rail. For the downlink signal, pre-compensation is performed on the downlink time domain signal, and for the uplink signal, pre-compensation is performed on the frequency domain signal after the high-speed rail UE access.

[0058] In another embodiment, frequency offset pre-compensation is performed on high-speed rail users under the communication cell using the angle, speed, and location information of the sensing cell, specifically including:

[0059] 1. Create sensing tasks in the sensing community.

[0060] 2. After the sensing cell confirms the detection of the high-speed rail, it continuously sends information such as the angle, speed, and location of the high-speed rail relative to the base station under the integrated sensing and communication system to the relevant communication cells.

[0061] 3. The communication cell can determine the target's direction of movement based on changes in the high-speed rail's location information. Using the angle and speed information obtained each time, it calculates the corresponding Doppler frequency offset value f = (v*f0) / (c*cosθ) according to the Doppler principle. This calculated Doppler frequency offset value is then used for frequency offset pre-compensation of the high-speed rail's uplink and downlink signals. For downlink signals, pre-compensation is performed in the downlink time domain; for uplink signals, pre-compensation is performed in the frequency domain signal after the high-speed rail's access.

[0062] In yet another embodiment, frequency offset pre-compensation is performed on high-speed rail users within the communication cell using the angle, speed, and location information of the sensing cell. Specifically, this includes:

[0063] 1. Create sensing tasks in the sensing community.

[0064] 2. After the sensing cell confirms the detection of the high-speed rail, it continuously sends information such as the angle, speed, and location of the high-speed rail relative to the base station under the integrated sensing and communication system to the relevant communication cells.

[0065] 3. The communication cell can determine the target's direction of movement based on changes in the high-speed rail's location information. Using the angle and velocity information obtained each time, it calculates the corresponding Doppler frequency offset value f = (v*f0) / (c*cosθ) according to the Doppler principle. The currently calculated Doppler frequency offset value is then filtered along with historical Doppler frequency offset values ​​to obtain the filtered Doppler frequency offset value f' = α*f + (1-α)*f d α is a pre-set filtering coefficient. The filtered Doppler frequency offset value is used for frequency offset pre-compensation of the uplink and downlink signals of the high-speed rail. For the downlink signal, pre-compensation is performed on the downlink time domain signal; for the uplink signal, pre-compensation is performed on the frequency domain signal after the high-speed rail UE access.

[0066] Figure 4 is a schematic diagram of beam adaptive adjustment to cover mobile users according to an embodiment of the present disclosure. As shown in Figure 4, the communication cell can also determine the number of downlink beams to be generated, as well as the beamwidth and azimuth information of the corresponding beams, based on the sensing and detection information (position, speed, angle) of the mobile target. The downlink beams are transmitted according to this information so that there is always a narrower beam that can cover the mobile user.

[0067] The beam coverage adjustment process may include: after receiving a moving target from the sensing cell, the communication cell periodically designs the horizontal bandwidth, vertical bandwidth, azimuth angle, and downtilt angle of the SSB (Synchronization Signal Block) beam and CSIRS (Channel State Information Reference Signal) beam to cover the moving target based on the target's location and speed information. This beam is then scheduled for transmission during the SSB and CSIRS transmission cycles. Other beams, based on the same design principles, are used to cover users with lower movement speeds or those that are stationary in other locations within the communication cell. Downlink beam management using sensing information specifically includes:

[0068] 1. Create sensing tasks in the sensing community.

[0069] 2. Assume that after the sensing cell confirms the detection of two moving targets, it continuously sends the angle, speed and location information of the two moving targets to the relevant communication cell.

[0070] 3. Assuming a communication cell transmits 7 SSBs in one broadcast cycle and has 4 CSIRS beams used for PMI (Precoding Matrix Indicator) measurement in one CSIRS cycle, the communication cell can direct two narrow beams of the downlink beams from the SSBs and two from the CSIRS beams towards the two mobile targets respectively, while using the other beams for low-speed or static users. Based on the position and speed information of the two mobile targets, the horizontal and vertical beamwidths, azimuth angles, and downtilt angles of the covering beams are adjusted so that the two mobile targets always have narrower SSB or CSIRS beams to cover them, whether they are accessing the network or conducting services.

[0071] 4. Subsequently, the Doppler frequency offset value determined by any of the above methods can be used for frequency offset pre-compensation processing.

[0072] Figure 5 is a schematic diagram of beam adaptive adjustment coverage of mobile users according to an embodiment of the present disclosure. As shown in Figure 5, when a mobile user accesses or switches to the communication cell, the communication cell begins to perform frequency offset pre-compensation on the downlink signal using a determined Doppler frequency offset value before transmitting it. The Doppler frequency offset value used for the accessed uplink signal is also pre-compensated before subsequent channel estimation and other operations are performed.

[0073] According to another embodiment of this disclosure, a processing apparatus for sensing-assisted communication is provided. FIG6 is a block diagram of the processing apparatus for sensing-assisted communication according to an embodiment of this disclosure. As shown in FIG6, the apparatus is applied to a communication cell and includes:

[0074] The receiving module 62 is configured to receive detection information of moving targets sensed by the sensing cell;

[0075] The processing module 64 is configured to perform beam adjustment and / or frequency offset pre-compensation based on the detection information.

[0076] In one embodiment, the processing module 64 includes:

[0077] The determination submodule is configured to determine the Doppler frequency offset value of the moving target relative to the base station based on the detection information;

[0078] The pre-compensation submodule is configured to perform frequency offset pre-compensation on the uplink signal and / or downlink signal based on the Doppler frequency offset value when the mobile target accesses or switches to the communication cell.

[0079] In one embodiment, determining the submodule includes:

[0080] The acquisition unit is configured to acquire, from the detection information, the Doppler frequency offset value generated by the mobile target relative to the base station when the detection information includes the Doppler frequency offset value generated when the mobile target accesses or switches to the communication cell; or

[0081] The determining unit is configured to calculate the Doppler frequency offset value of the moving target relative to the base station based on the detection information.

[0082] In one embodiment, the determining unit is further configured to obtain the position of the moving target, the angle between the moving target's direction of movement and the signal propagation direction of the base station, and the moving speed of the moving target from the detection information; determine the moving direction of the moving target based on the position of the moving target; and calculate the Doppler frequency offset value based on the angle between the moving target's direction of movement and the signal propagation direction of the base station and the moving speed.

[0083] In one embodiment, the determining unit is further configured to acquire the carrier frequency and the transmission speed of the electromagnetic wave; based on the Doppler principle, the Doppler frequency offset value is calculated according to the moving speed of the moving target, the angle between the moving direction of the moving target and the signal propagation direction of the base station, the carrier frequency, and the transmission speed of the electromagnetic wave.

[0084] In one embodiment, the device further includes:

[0085] The filtering module is configured to filter the Doppler frequency offset value using historical Doppler frequency offset values.

[0086] In one embodiment, the device further includes:

[0087] The update module is configured to update the filtered Doppler frequency offset value to the historical Doppler frequency offset value.

[0088] In one embodiment, the processing module 64 includes:

[0089] The acquisition submodule is configured to acquire the position of the moving target, the angle between the moving target's direction of movement and the signal propagation direction of the base station, and the moving speed of the moving target from the detection information.

[0090] The adjustment submodule is configured to adjust the downlink beam coverage based on the location of the moving target, the angle between the moving target's direction of movement and the base station's signal propagation direction, and the moving speed of the moving target.

[0091] In one embodiment, the adjustment submodule is further configured to adjust the beamwidth and azimuth angle of the beam covering the mobile target based on the position of the mobile target, the angle between the moving direction of the mobile target and the signal propagation direction of the base station, and the moving speed of the mobile target; and transmit a downlink beam according to the adjusted beamwidth and azimuth angle of the beam covering the mobile target, so that the beam covers the mobile target.

[0092] In one embodiment, the device further includes:

[0093] The transmitting module is configured to transmit the frequency-off pre-compensated downlink signal after performing frequency offset pre-compensation on the downlink signal based on the Doppler frequency offset value; or

[0094] The channel estimation module is configured to perform channel estimation after performing frequency offset pre-compensation on the uplink signal based on the Doppler frequency offset value.

[0095] Figure 7 is a system block diagram of the interaction between the sensing cell and the communication cell according to an embodiment of the present disclosure. As shown in Figure 7, the NR (NewRadio) integrated sensing base station is an NR base station with both communication and sensing functions, comprising two subsystems: a sensing cell and a communication cell. The sensing cell with sensing function can transmit sensing information and detect the echo of the sensing information. After obtaining the sensing and detection information (including information such as the speed, location, and angle of the mobile user relative to the base station where the sensing cell is located), it sends it to the communication cell. After receiving the above information, the communication cell combines its own measurement information and scheduling information to make a final scheduling decision.

[0096] The sensing cell subsystem includes a sensing information transmission module and a sensing information detection module. The sensing information transmission module is configured to transmit sensing information; the sensing information detection module is configured to detect sensing information echoes and transmit sensing detection information. The communication cell subsystem includes an information receiving module, a communication measurement module, and a communication scheduling module. The receiving module is responsible for receiving sensing detection information and sending it to the communication scheduling module; the communication measurement module is responsible for relevant measurements within the communication cell; the communication scheduling module performs downlink beam management and frequency offset pre-compensation management based on the sensing detection information and the communication cell's own measurement information.

[0097] This disclosure also provides a computer program product, including computer program instructions, wherein the computer program instructions cause a computer to implement the steps in any of the above method embodiments.

[0098] Embodiments of this disclosure also provide a computer-readable storage medium storing a computer program configured to perform the steps in any of the above method embodiments when executed.

[0099] In one exemplary embodiment, the aforementioned computer-readable storage medium may include, but is not limited to, various media capable of storing computer programs, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard disk, magnetic disk, or optical disk.

[0100] Embodiments of this disclosure also provide an electronic device including a memory and a processor, the memory storing a computer program and the processor being configured to run the computer program to perform the steps in any of the above method embodiments.

[0101] In one exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor and the input / output device is connected to the processor.

[0102] Specific examples in this embodiment can be found in the examples described in the above embodiments and exemplary implementations, and will not be repeated here.

[0103] It is obvious to those skilled in the art that the modules or steps of this disclosure described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. They can be implemented using computer-executable program code, and thus can be stored in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those presented herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, this disclosure is not limited to any particular combination of hardware and software.

[0104] The above description is merely a preferred embodiment of this disclosure and is not intended to limit this disclosure. Various modifications and variations can be made to this disclosure by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A processing method for sensing-assisted communication, applied to a communication cell, the method comprising: Receive detection information of moving targets sensed by the sensing cell; Beam adjustment and / or frequency offset pre-compensation are performed based on the detection information.

2. The method according to claim 1, wherein, Frequency offset pre-compensation based on the detection information includes: Based on the detection information, the Doppler frequency offset value generated by the moving target relative to the base station is determined; When the mobile target accesses or switches to the communication cell, frequency offset pre-compensation is performed on the uplink signal and / or downlink signal based on the Doppler frequency offset value.

3. The method according to claim 2, wherein, Determining the Doppler frequency offset value of the moving target relative to the base station based on the detection information includes: If the detection information includes the Doppler frequency offset value generated when the mobile target accesses or switches to the communication cell, the Doppler frequency offset value generated by the mobile target relative to the base station is obtained from the detection information; or The Doppler frequency offset value of the moving target relative to the base station is calculated based on the detection information.

4. The method according to claim 3, wherein, The calculation of the Doppler frequency offset value of the moving target relative to the base station based on the detection information includes: The position of the moving target, the angle between the moving target's direction of movement and the signal propagation direction of the base station, and the moving speed of the moving target are obtained from the detection information. The direction of movement of the moving target is determined based on its position. The Doppler frequency offset value is calculated based on the angle between the moving target's direction of movement and the base station's signal propagation direction, and the moving target's speed.

5. The method according to claim 4, wherein, The Doppler frequency offset value is calculated based on the angle between the moving target's direction of movement and the base station's signal propagation direction, and the moving target's speed, including: Obtain the carrier frequency and the transmission speed of electromagnetic waves; Based on the Doppler principle, the Doppler frequency offset value is calculated according to the moving speed of the moving target, the angle between the moving direction of the moving target and the signal propagation direction of the base station, the carrier frequency, and the transmission speed of the electromagnetic wave.

6. The method according to any one of claims 2 to 5, wherein, The method further includes: The Doppler frequency offset value is filtered using historical Doppler frequency offset values.

7. The method according to claim 6, wherein, The method further includes: The filtered Doppler frequency offset value is updated to the historical Doppler frequency offset value.

8. The method according to claim 1, wherein, Beam adjustment based on the detection information includes: The position of the moving target, the angle between the moving target's direction of movement and the signal propagation direction of the base station, and the moving speed of the moving target are obtained from the detection information. The downlink beam coverage is adjusted based on the location of the moving target, the angle between the moving target's direction of movement and the base station's signal propagation direction, and the moving speed of the moving target.

9. The method according to claim 8, wherein, Adjusting downlink beam coverage based on the location of the moving target, the angle between the moving target's direction of movement and the base station's signal propagation direction, and the moving speed of the moving target includes: Based on the position of the moving target, the beamwidth and azimuth angle of the beam covering the moving target are adjusted according to the angle between the moving target's direction of movement and the signal propagation direction of the base station, as well as the moving speed of the moving target. A downlink beam is transmitted according to the adjusted beamwidth and azimuth angle of the beam covering the moving target, so that the beam covers the moving target.

10. The method according to any one of claims 2 to 5, wherein, The method further includes: After performing frequency offset pre-compensation on the downlink signal based on the Doppler frequency offset value, the frequency offset pre-compensated downlink signal is transmitted; or Channel estimation is performed after frequency offset pre-compensation of the uplink signal based on the Doppler frequency offset value.

11. A computer-readable storage medium storing a computer program, wherein, The computer program is configured to execute the method described in any one of claims 1 to 10 when it is run.

12. An electronic device comprising a memory and a processor, the memory storing a computer program, the processor being configured to run the computer program to perform the method of any one of claims 1 to 10.

13. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method described in any one of claims 1 to 10.

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