Method for determining perception mode of network unit, network unit and equipment

Abstract

The invention provides a method for determining a sensing mode of a network unit, the network unit and equipment. The method for determining the sensing mode of the network unit comprises the following steps: acquiring a first sensing signal strength of a first network unit measured by the first network unit and a second sensing signal strength of at least one second network unit in a network; determining a sensing mode of the first network unit according to the first sensing signal strength; and under the condition that the sensing mode of the first network unit is a high sensing mode, determining whether the first network unit is a main sensing unit mode or an auxiliary sensing unit mode according to the first sensing signal strength and the second sensing signal strength of at least one second network unit. According to the scheme, the network unit can determine the sensing mode, and the sensing precision and the system overhead are balanced according to the sensing mode.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to a method for determining a network unit perception mode, a network unit and a device. Background Art

[0002] Existing synaesthesia solutions are mostly tested and developed based on single-station perception. Currently, multi-station collaborative networking cannot plan resource overhead based on synaesthesia scenario requirements, and the perception accuracy and system overhead cannot be balanced. Summary of the invention

[0003] The present invention provides a method for determining a perception mode of a network unit, a network unit and a device, which can enable the network unit to determine the perception mode and balance the perception accuracy and system overhead according to the perception mode.

[0004] In order to solve the above technical problems, the technical solution of the present invention is as follows:

[0005] A method for determining a network unit perception mode, applied to a first network unit in a network including multiple network units, the method comprising:

[0006] Acquire a first perceived signal strength of the first network element and a second perceived signal strength of at least one second network element in the network measured by the first network element;

[0007] Determining a sensing mode of a first network unit according to the first sensed signal strength;

[0008] When the perception mode of the first network unit is a high perception mode, it is determined whether the first network unit is in a main perception unit mode or a secondary perception unit mode according to the first perception signal strength and the second perception signal strength of at least one second network unit.

[0009] Optionally, determining a sensing mode of the first network unit according to the first sensed signal strength includes:

[0010] When the first perception signal strength is less than a first perception signal strength threshold, the perception mode of the first network unit is determined to be a low perception mode; otherwise, the perception mode of the first network unit is determined to be a high perception mode.

[0011] Optionally, determining, according to the first perceived signal strength and the second perceived signal strength of at least one second network unit, whether the first network unit is in a primary sensing unit mode or a secondary sensing unit mode includes:

[0012] When the first perception signal strength is greater than the second perception signal strengths of all second network units, the first network unit is determined to be in a main perception unit mode; otherwise, the first network unit is determined to be in a secondary perception unit mode.

[0013] Optionally, when determining that the first network unit is in the master sensing unit mode, the method further includes:

[0014] When the second perception signal strength of the target second network unit is less than the second perception signal strength threshold, a notification signal is sent to the target second network unit, wherein the notification signal is used to instruct the target second network unit to enter a low perception mode, and the target second network unit is any second network unit among at least one second network unit.

[0015] Optionally, when determining that the first network unit is in a master sensing unit mode, the method further includes:

[0016] Acquiring perception data perceived by the first network unit;

[0017] The perception data is sent to a target device, and the perception data is used to determine a perception performance adjustment scheme.

[0018] Optionally, after sending the sensing data to the target device, the method further includes:

[0019] receiving indication information fed back by the target device according to the perception data, wherein the indication information is used to indicate perception abnormality information;

[0020] Determining a perception performance adjustment plan according to the perception abnormality information indicated by the indication information;

[0021] The perceptual performance is optimized according to the perceptual performance adjustment scheme.

[0022] Optionally, determining a perception performance adjustment scheme according to the perception abnormality information includes:

[0023] When the perception abnormality information is distance abnormality information, determining the perception performance adjustment scheme is: increasing the sending bandwidth of the perception signal and increasing the sending power of the perception signal;

[0024] When the perception abnormality information is angle abnormality information, determining the perception performance adjustment scheme is: increasing the scanning beam of the perception signal and increasing the transmission power of the perception signal;

[0025] When the perception abnormality information is speed abnormality information, the perception performance adjustment scheme is determined as: increasing the time domain resources of the perception signal and increasing the transmission power of the perception signal.

[0026] Optionally, the indication information is also used to indicate the service priority of the perception service;

[0027] The scheme of increasing the transmission bandwidth of the perception signal, increasing the scanning beam of the perception signal or increasing the time domain resources of the perception signal includes: when the service priority of the perception service is higher than the service priority of the communication service, the perception service can seize the time and frequency resources of the communication service with lower priority.

[0028] An embodiment of the present invention further provides a method for determining perceived abnormal information, which is applied to a target device, and the method includes:

[0029] receiving sensing data sent by the first network unit;

[0030] Determining perception abnormality information according to the perception data;

[0031] Indication information is sent to the first network unit, where the indication information is used to indicate the perceived abnormality information, where the perceived abnormality information is used to enable the network unit to determine a perceived performance adjustment plan, where the perceived performance adjustment plan is used to enable the network unit to optimize perceived performance.

[0032] Optionally, determining the perception abnormality information according to the perception data includes:

[0033] According to the perception data, N groups of perception results are obtained; wherein N is a positive integer;

[0034] Determine abnormal sensing results according to the N groups of sensing results;

[0035] According to the abnormal perception result, perception abnormality information is determined.

[0036] Optionally, determining an abnormal perception result according to the N groups of perception results includes:

[0037] Obtaining the median of the N groups of perception results;

[0038] If the difference between the perception result and the median is greater than a preset abnormal threshold, the perception result is determined to be an abnormal perception result.

[0039] Optionally, determining the perceived abnormality information according to the abnormality perception result includes:

[0040] If the abnormal perception result is a distance perception result, determining that the abnormal perception information includes distance abnormality information;

[0041] If the abnormal perception result is a speed perception result, determining that the abnormal perception information includes abnormal speed information;

[0042] If the perception abnormality result is an angle perception result, it is determined that the perception abnormality information includes angle abnormality information.

[0043] An embodiment of the present invention further provides a first network unit, including:

[0044] an acquisition module, configured to acquire a first perceived signal strength of the first network unit and a second perceived signal strength of at least one second network unit in the network measured by the first network unit;

[0045] A processing module is used to determine the perception mode of the first network unit according to the first perception signal strength; when the perception mode of the first network unit is a high perception mode, determine whether the first network unit is in a main perception unit mode or a secondary perception unit mode according to the first perception signal strength and the second perception signal strength of at least one second network unit.

[0046] An embodiment of the present invention further provides a target device, including:

[0047] A transceiver module, used for receiving the sensing data sent by the first network unit;

[0048] A processing module, used to determine perception abnormality information based on the perception data;

[0049] The transceiver module is also used to send indication information to the first network unit, the indication information is used to indicate the perception abnormality information, the perception abnormality information is used to enable the network unit to determine a perception performance adjustment plan, and the perception performance adjustment plan is used to enable the network unit to optimize the perception performance.

[0050] An embodiment of the present invention further provides a network device, comprising: a processor and a memory storing a computer program, wherein the computer program executes the method described above when executed by the processor.

[0051] An embodiment of the present invention further provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute the method described above.

[0052] The above solution of the present invention includes at least the following beneficial effects:

[0053] The solution of the present invention obtains the first perception signal strength of the first network unit measured by the first network unit and the second perception signal strength of at least one second network unit in the network; determines the perception mode of the first network unit according to the first perception signal strength; when the perception mode of the first network unit is a high perception mode, determines whether the first network unit is in a main perception unit mode or an auxiliary perception unit mode according to the first perception signal strength and the second perception signal strength of at least one second network unit, so that according to the main and auxiliary perception modes of the network units, in a synaesthesia networking scenario, resource overhead can be planned according to the requirements of the synaesthesia scenario to balance perception accuracy and system overhead. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 is a flow chart of a method for determining a network unit perception mode provided by an embodiment of the present invention;

[0055] Figure 2 It is a specific implementation flow chart of the method for determining the network unit perception mode provided by an embodiment of the present invention;

[0056] Figure 3 is a flow chart of a method for determining a perceptual performance adjustment solution provided by an embodiment of the present invention;

[0057] Figure 4 It is a schematic diagram of an implementation scheme of an embodiment of the method of the present invention;

[0058] Figure 5 is a schematic diagram of an implementation scheme of another embodiment of the method of the present invention;

[0059] Figure 6 is a schematic diagram of an implementation scheme of another embodiment of the method of the present invention;

[0060] Figure 7 A schematic diagram of the module structure of a network unit used by the device for determining a network unit perception mode of the present invention;

[0061] Figure 8 It is a structural diagram of the computing power equipment used by the device for determining the network unit perception mode of the present invention. DETAILED DESCRIPTION

[0062] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0063] like Figure 1 As shown, an embodiment of the present invention provides a method for determining a network unit perception mode, which is applied to a first network unit in a network including multiple network units, and the method includes:

[0064] Step 11, obtaining a first perceived signal strength of the first network unit and a second perceived signal strength of at least one second network unit in the network measured by the first network unit; here, multiple network units in the network transmit perception signals, which may be SeRS (perception reference signal) and the like, and the signals are time-division / code-division-based to avoid interference; the first network unit receives and measures the perceived signal strengths from itself and other second network units;

[0065] Step 12, determining the perception mode of the first network unit according to the first perception signal strength; here, the first network unit decides whether it is in low perception mode or high perception mode according to the measured perception signal strength; the low perception mode corresponds to low-density perception signal transmission, and the low density can be reflected in the frequency domain resources (such as bandwidth, RB (resource block), the number of RE (resource unit) in each RB, etc.) / time domain resources, etc. are less occupied and the transmission time slots are less; the high perception mode corresponds to high-density perception signal transmission, and the high density can be reflected in the frequency domain resources (such as bandwidth, RB, the number of RE in each RB, etc.) / time domain resources, etc. are more occupied and the transmission time slots are more; different modes can correspond to different transmission patterns;

[0066] Step 13: When the perception mode of the first network unit is a high perception mode, determine whether the first network unit is in a main perception unit mode or a secondary perception unit mode based on the first perception signal strength and the second perception signal strength of at least one second network unit.

[0067] In this embodiment of the present invention, the first network unit or the second network unit can be a base station, but is not limited to a base station. In a multi-station collaborative telepathic networking scenario, when the perception mode of the first network unit is a high perception mode, the first network unit is confirmed to be a main perception unit or a secondary perception unit based on the first perception signal strength and the second perception signal strength of at least one second network unit in the network, thereby balancing the perception accuracy and system overhead.

[0068] In an optional embodiment of the present invention, step 12 may include:

[0069] Step 121: When the first perception signal strength is less than a first perception signal strength threshold, determine that the perception mode of the first network unit is a low perception mode; otherwise, determine that the perception mode of the first network unit is a high perception mode.

[0070] Here, the first perceived signal strength threshold = transmission power + antenna gain - 2 * path loss corresponding to the perceived distance - reflection loss + noise power + offset;

[0071] Among them, the transmission power is the transmission power of the first network unit, the antenna gain is the antenna gain of the first network unit, the perception distance is the perception distance of the first network unit, the reflection loss is the reflection loss of the first network unit, the noise power is, and the offset is the preset offset of the first network unit. Of course, the first perception signal strength threshold is not limited to this calculation method, and can be determined by the relevant information of the base station itself, or can be set according to specific scenarios.

[0072] It should be noted that when the first perception signal strength is equal to the first perception signal strength threshold, the perception mode of the first network unit can be determined as a low perception mode, or the perception mode of the first network unit can be determined as a high perception mode, which can be determined according to actual conditions.

[0073] In an optional embodiment of the present invention, in step 13, determining whether the first network unit is in a primary sensing unit mode or a secondary sensing unit mode according to the first sensing signal strength and the second sensing signal strength of at least one second network unit includes:

[0074] Step 131: when the first perception signal strength is greater than the second perception signal strengths of all second network units, determine that the first network unit is in a main perception unit mode; otherwise, determine that the first network unit is in a secondary perception unit mode.

[0075] In this embodiment, the decision period for the first network unit to confirm whether it is in the main perception unit mode or the auxiliary perception unit mode can be a set value X; the configuration of X can be determined based on the perception performance. If the scenario has relatively high requirements for perception performance, X can be relatively low. If the scenario has relatively low requirements for perception performance, X can be relatively high.

[0076] It should be noted that when the first perception signal strength is equal to the second perception signal strength of all second network units, the perception mode of all network units is the same, which can be a main perception unit mode or an auxiliary perception unit mode, which can be determined according to actual conditions.

[0077] In the embodiment of the present invention, the main sensing unit not only transmits and receives sensing signals, but also needs to transmit the sensing data to the target device on the network side, and the auxiliary sensing unit only needs to send the sensing signal. The target device here can be a computing device with computing power in the network, a network device or other edge computing device.

[0078] In an optional embodiment of the present invention, in step 13, when determining that the first network unit is in the master sensing unit mode, the method further includes:

[0079] Step 14: When the second perception signal strength of the target second network unit is less than the second perception signal strength threshold, a notification signal is sent to the target second network unit, wherein the notification signal is used to instruct the target second network unit to enter a low perception mode, and the target second network unit is any one of the at least one second network unit.

[0080] In this embodiment, the second perception signal strength threshold may be the minimum signal strength for synaesthesia data analysis, but is not limited to this strength. For network units corresponding to low-energy perception signals, the main network unit or the target device on the network side may notify these network units to enter a low perception mode to save energy.

[0081] In an optional embodiment of the present invention, when determining that the first network unit is in the master sensing unit mode, the method may further include:

[0082] Step 15: acquiring the perception data perceived by the first network unit;

[0083] Step 16: Send the perception data to the target device, where the perception data is used to determine a perception performance adjustment solution.

[0084] In this embodiment, the main perception unit transmits the perception signal strength to the target device, which can help the target device determine the reliability of the perception data from various sources, thereby optimizing the algorithm for deriving the perception results, such as using the MRC algorithm.

[0085] In an optional embodiment of the present invention, step 16 may further include:

[0086] Step 17, receiving indication information fed back by the target device according to the sensed data, wherein the indication information is used to indicate sensed abnormal information;

[0087] Step 18, determining a perception performance adjustment plan according to the perception abnormality information indicated by the indication information;

[0088] Step 19: Optimize the perceptual performance according to the perceptual performance adjustment scheme.

[0089] Specifically, the perception performance adjustment scheme includes: increasing the transmission power of the perception signal, and among the service priorities of the communication service and the perception service, the service with a higher priority can seize the time and frequency resources of the service with a lower priority.

[0090] Here, determining the perception performance adjustment scheme according to the perception abnormality information includes:

[0091] When the perception abnormality information is distance abnormality information, determining the perception performance adjustment scheme is: increasing the sending bandwidth of the perception signal and increasing the sending power of the perception signal;

[0092] When the perception abnormality information is angle abnormality information, determining the perception performance adjustment scheme is: increasing the scanning beam of the perception signal and increasing the transmission power of the perception signal;

[0093] When the perceived abnormal information is speed abnormal information, the determined perceived performance adjustment scheme is: increasing the time-domain resources of the perceived signal and increasing the transmission power of the perceived signal.

[0094] Furthermore, the indication information is also used to indicate the service priority of the perception service; the scheme of increasing the transmission bandwidth of the perception signal, increasing the scanning beam of the perception signal, or increasing the time-domain resources of the perception signal includes: when the service priority of the perception service is higher than that of the communication service, the perception service can preempt the time-frequency resources of the communication service with a lower priority.

[0095] In this embodiment, the target device derives N groups of perception results of the perceived object based on the perception data, and the perception results may include:

[0096] Distance: D n , where the subscript represents that the perception result is derived from the perception reference signal sent by the nth perception unit; Angle: A n ; Speed: S n ;

[0097] For each perception result, calculate the median M of the perception result D / A / S , for the result where the difference between the perception result and the perception median is greater than the abnormal threshold X D / A / S of the result, mark it as an abnormal result;

[0098] The target device notifies the perception reference signal source corresponding to the abnormal result to adjust the perception resources / perception transmission method:

[0099] Distance anomaly: Notify the corresponding perception reference signal source to increase the perception bandwidth or increase the transmission power of the perception signal; Angle anomaly: Notify the corresponding perception reference signal source to increase the perception scanning beam or increase the transmission power of the perception signal; Speed anomaly: Notify the corresponding perception reference signal source to increase the perception time-domain resources or increase the transmission power of the perception signal; Perception service priority: N;

[0100] After receiving the adjustment signaling from the target device, the perception unit (perception signal source) judges the priority of the perception signal and the communication signal at this time and performs perception resource adjustment;

[0101] Method 1: The priority of the perception signal is A, the priority of the communication signal is B, A < B, and the perception cannot preempt the resources of the communication;

[0102] Method 2: Different priority divisions are made according to different communication channels and signal types, and the priority order is aperiodic reference signal = PUCCH = URLLC service data > perception signal > SSB and other broadcast signals / channels = eMBB data channel;

[0103] Method 3: Configure the priority index in the perception signal indication, index = 0 indicates low priority, index = 1 indicates medium priority, and index = 2 indicates high priority. The priority order is perception signal index = 2 > non-periodic reference signal = PUCCH = URLLC service data > perception signal index = 1 > SSB and other broadcast signals / channels = eMBB data channel > perception signal index = 0;

[0104] The method of adjusting the sensing resources is as follows: for time-frequency resources, if the service priority carried on the time-frequency resources used for communication is lower than the sensing service, then the sensing unit can seize the time-frequency resources to increase the sensing performance;

[0105] The above-mentioned embodiments of the present invention are applicable to scenarios with relatively low requirements for perception accuracy and relatively high requirements for energy saving, and can ensure optimal perception accuracy under the condition of limiting the common power and computing power overhead of multiple stations.

[0106] like Figure 2 FIG. 1 is a flowchart of a specific implementation of the above embodiment of the present invention, including:

[0107] Step 21, multiple network units transmit perception signals;

[0108] Step 22, the network unit (i.e., the first network unit) receives and measures the perceived signal strength from itself and other network units (i.e., the second network unit);

[0109] Step 23: The network unit decides a low perception mode or a high perception mode according to the measured perceived signal strength;

[0110] Step 24: the perceived signal strength of the network unit is less than or equal to the first perceived signal strength threshold, and the low perception mode is continued;

[0111] Step 25: The perceived signal strength of the network unit is greater than the first perceived signal strength threshold, and the network unit enters a high-perception mode to transmit the perceived signal at a high density;

[0112] Step 26, the network unit decides the main sensing unit and the auxiliary sensing unit according to the measured sensing signal strength, and the decision cycle is X;

[0113] Step 27: The perceived signal strength of the network unit is greater than the perceived signal strength of other network units, and the network unit is the main perception unit;

[0114] Step 28: If the perceived signal strength of the network unit is less than the perceived signal strength of other network units, the network unit is an auxiliary perception unit and enters a low perception mode;

[0115] Step 29, when the network unit is a main sensing unit, the main sensing unit transmits the collected sensing data, or the sensing data and the sensing signal strength, to the target device;

[0116] Step 30, for the network unit corresponding to the low-energy sensing signal, the main sensing unit may inform the auxiliary sensing unit to enter the low-sensing mode through transmission;

[0117] Step 31: After receiving the notification, the auxiliary sensing unit enters the low sensing mode.

[0118] like Figure 3 As shown, an embodiment of the present invention further provides a method for determining perceived abnormal information, which is applied to a target device, and the method includes:

[0119] Step 31, receiving the sensing data sent by the first network unit;

[0120] Step 32, determining the sensed abnormality information according to the sensed data;

[0121] Step 33: Send indication information to the first network unit, where the indication information is used to indicate the perceived abnormality information, and the perceived abnormality information is used to enable the network unit to determine a perceived performance adjustment plan, and the perceived performance adjustment plan is used to enable the network unit to optimize the perceived performance.

[0122] In this embodiment, the target device can determine the reliability of perception data from various sources based on the perception data sent by the network unit, thereby optimizing the derived perception results so that the network unit can optimize the perception performance according to the perception performance adjustment plan.

[0123] In an optional embodiment of the present invention, step 32 may include:

[0124] Step 321, obtaining N groups of perception results according to the perception data; wherein N is a positive integer;

[0125] Step 322, determining abnormal sensing results according to the N groups of sensing results;

[0126] Specifically, a median of the N groups of perception results is obtained, and if a difference between the perception result and the median is greater than a preset abnormal threshold, the perception result is determined to be an abnormal perception result.

[0127] Step 323: Determine the perception abnormality information according to the abnormal perception result.

[0128] Specifically, if the perception abnormality result is a distance perception result, determining that the perception abnormality information includes distance abnormality information;

[0129] If the abnormal perception result is a speed perception result, determining that the abnormal perception information includes abnormal speed information;

[0130] If the perception abnormality result is an angle perception result, it is determined that the perception abnormality information includes angle abnormality information.

[0131] The specific implementation process of the method for determining the above-mentioned perception performance adjustment scheme is described below in conjunction with specific embodiments:

[0132] like Figure 4 As shown, Example 1:

[0133] Network units (such as base stations) A, B, and C activate the initial state and enter the low perception mode (perception bandwidth is 100MHz), and send SeRS for perception through time division / frequency division / code division;

[0134] Base stations A, B, and C measure their own SeRS respectively. During the period from T1 to T2, due to the lack of reflection path, the SeRS measurement results of base stations A, B, and C are all less than Threshold_1. At this time, base stations A, B, and C continue to sense in low-sensing mode.

[0135] At time T2, a drone enters the sensing range. Due to the presence of the reflection path, the SeRS measurement results of base stations A, B, and C are all greater than or equal to Threshold_1 (the first sensing signal strength threshold). At this time, base stations A, B, and C switch to high sensing mode (sensing bandwidth is 200MHz) for sensing;

[0136] Base stations A, B, and C distinguish between the main sensing unit and the auxiliary sensing unit:

[0137] During the time from T2 to T2+X, since the drone is closer to base station A, base stations A, B, and C determine that base station A is the main sensing unit and base stations B and C are auxiliary sensing units based on power.

[0138] P AA >P AB >P AC (P AB is the power sent by B and received by A);

[0139] P BA >P BB >P BC ;

[0140] P CA >P CB >P CC ;

[0141] Base station A transmits the collected sensing data to the computing device;

[0142] Base station A determines PAC <Threshold_2 (The second sensing signal strength threshold), Base Station A notifies Base Station C to enter the low-sensing state through the Xn interface;

[0143] Within the time from T2 + X to T2 + 2X, since the drone is closer to Base Station B, Base Stations A, B, and C determine that Base Station B is the main sensing unit and Base Stations A and C are the secondary sensing units based on power;

[0144] Under multi-station collaborative communication and sensing networking, the sensing performance optimization scheme:

[0145] The network unit transmits the collected sensing data to the computing power device;

[0146] The computing power device derives N groups of sensing results of the sensed object based on the sensing data of each sensing path. The sensing results can include:

[0147] Distance: Dn, where the subscript represents that the sensing result is from the sensing reference signal sent by the nth sensing unit;

[0148] Angle: An;

[0149] Speed: Sn;

[0150] For each sensing result, calculate the median M of the sensing result D / A / S , for the results where the difference between the sensing result and the median of the sensing result is greater than the anomaly threshold X D / A / S are marked as abnormal results;

[0151] Among them, X D / A / S can be adjusted according to the sensing accuracy. The higher the requirement for sensing accuracy, the smaller X D / A / S , conversely, the lower the requirement for sensing accuracy, the larger X D / A / S ;

[0152] The computing power device notifies the sensing reference signal source corresponding to the abnormal result to adjust the sensing resources / sensing transmission method:

[0153] Distance anomaly: Notify the corresponding sensing reference signal source to increase the sensing bandwidth or increase the sensing signal transmission power;

[0154] Angle anomaly: Notify the corresponding sensing reference signal source to increase the sensing scanning beam or increase the sensing signal transmission power;

[0155] Speed anomaly: Notify the corresponding sensing reference signal source to increase the sensing time-domain resources or increase the sensing signal transmission power;

[0156] Perceived service priority: N (for communication services and perceived services, if a network unit has abnormal perception distance and / or speed of a perceived object, in this case, it indicates that the resources of the network unit are insufficient. The priority of the perceived service is 10, and the priorities of communication services are 0, 5, and 10. Then, the service with a higher priority can preempt the resources of the service with a lower priority to ensure the normal operation of the service).

[0157] After the perception unit (perception signal source) receives the adjustment signaling from the computing power device, it determines the priorities of the perception signal and the communication signal at this time and performs perception resource adjustment:

[0158] Method 1: The priority of the perception signal is A, and the priority of the communication signal is B, A < B. Perception cannot preempt the resources of communication.

[0159] Method 2: Different priority divisions are made according to different communication channels and signal types. The priority order is non-periodic reference signal = PUCCH = URLLC service data > perception signal > SSB and other broadcast signals / channels = eMBB data channel;

[0160] Method 3: Configure the priority index in the perception signal indication. index = 0 indicates low priority, index = 1 indicates medium priority, and index = 2 indicates high priority. The priority order is perception signal index = 2 > non-periodic reference signal = PUCCH = URLLC service data > perception signal index = 1 > SSB and other broadcast signals / channels = eMBB data channel > perception signal index = 0;

[0161] The method for perception resource adjustment is as follows: For time-frequency resources, if the service priority carried on the time-frequency resources used for communication at this time is lower than that of the perception service, then the perception unit can preempt the time-frequency resources to improve perception performance.

[0162] Embodiment 2: As Figure 5 and Figure 6 shown,

[0163] The perception unit A transmits the perception data collected at a certain moment to the computing power device;

[0164] Based on the perception data of each perception path, the computing power device derives 3 groups of perception results of the perceived object. The perception results include:

[0165] Distance: D A = 100m, D B = 102m, D C = 130m;

[0166] Angle: A A = 90°, A B = 92°, AC =89°

[0167] Speed: S A =10m / s, S B =10m / s, S C =10.5m / s;

[0168] The computing device calculates the median value M of the perception result D =102M D / A / S =90M D / A / S =10, according to the abnormal threshold: X D =10m,X A =2°,X S =1m / s, derive the abnormal result D C ;

[0169] The computing device notifies the perception reference signal source C corresponding to the abnormal result to adjust the perception resources:

[0170] Distance anomaly: notify the corresponding perception reference signal source to increase the perception bandwidth;

[0171] Perceived business priority: 6;

[0172] The sensing unit C (sensing signal source) receives the adjustment signal from the computing device;

[0173] The sensing unit C determines the priority of the sensing signal and the communication signal at this time and adjusts the sensing resources.

[0174] The corresponding relationship of priority is:

[0175] System broadcast information and control signaling 10 URLLC service data priority 8 eMBB service data priority 4 Perceive business priorities 6

[0176] The perception base station C seizes the frequency domain resources corresponding to the eMBB service data and transmits the perception signal.

[0177] The above-mentioned embodiments of the present invention are applicable to scenarios with relatively low requirements for perception accuracy and relatively high requirements for energy saving. The optimal perception accuracy can be guaranteed under the condition of limiting the common power and computing power overhead of multiple stations; in the synaesthesia networking scenario, the resource overhead is planned according to the requirements of the synaesthesia scenario, and the method of balancing the perception accuracy and system overhead is used. And according to the perception results derived between different perception units, it can be judged whether there is a perception abnormality, and a signaling is sent to notify the perception unit to adjust the perception resources to improve the perception performance.

[0178] like Figure 7 As shown, an embodiment of the present invention further provides a first network unit, including:

[0179] An acquisition module 71, configured to acquire a first perceived signal strength of the first network element and a second perceived signal strength of at least one second network element in the network measured by the first network element;

[0180] The processing module 72 is used to determine the perception mode of the first network unit according to the first perception signal strength; when the perception mode of the first network unit is a high perception mode, determine whether the first network unit is in a main perception unit mode or an auxiliary perception unit mode according to the first perception signal strength and the second perception signal strength of at least one second network unit.

[0181] Optionally, determining a sensing mode of the first network unit according to the first sensed signal strength includes:

[0182] When the first perception signal strength is less than a first perception signal strength threshold, the perception mode of the first network unit is determined to be a low perception mode; otherwise, the perception mode of the first network unit is determined to be a high perception mode.

[0183] Optionally, determining, according to the first perceived signal strength and the second perceived signal strength of at least one second network unit, whether the first network unit is in a primary sensing unit mode or a secondary sensing unit mode includes:

[0184] When the first perception signal strength is greater than the second perception signal strengths of all second network units, the first network unit is determined to be in a main perception unit mode; otherwise, the first network unit is determined to be in a secondary perception unit mode.

[0185] Optionally, when it is determined that the first network unit is in the master sensing unit mode, the processing module 72 is further configured to:

[0186] When the second perception signal strength of the target second network unit is less than the second perception signal strength threshold, a notification signal is sent to the target second network unit, wherein the notification signal is used to instruct the target second network unit to enter a low perception mode, and the target second network unit is any second network unit among at least one second network unit.

[0187] Optionally, when determining that the first network unit is in the master sensing unit mode, the processing module 72 is further configured to:

[0188] Acquiring perception data perceived by the first network unit;

[0189] The perception data is sent to a target device, and the perception data is used to determine a perception performance adjustment scheme.

[0190] Optionally, after sending the sensing data to the target device, the processing module 72 is further configured to:

[0191] receiving indication information fed back by the target device according to the perception data, wherein the indication information is used to indicate perception abnormality information;

[0192] Determining a perception performance adjustment plan according to the perception abnormality information indicated by the indication information;

[0193] The perceptual performance is optimized according to the perceptual performance adjustment scheme.

[0194] Optionally, determining a perception performance adjustment scheme according to the perception abnormality information includes:

[0195] When the perception abnormality information is distance abnormality information, determining the perception performance adjustment scheme is: increasing the sending bandwidth of the perception signal and increasing the sending power of the perception signal;

[0196] When the perception abnormality information is angle abnormality information, determining the perception performance adjustment scheme is: increasing the scanning beam of the perception signal and increasing the transmission power of the perception signal;

[0197] When the perception abnormality information is speed abnormality information, the perception performance adjustment scheme is determined as: increasing the time domain resources of the perception signal and increasing the transmission power of the perception signal.

[0198] Optionally, the indication information is also used to indicate the service priority of the perception service;

[0199] The scheme of increasing the transmission bandwidth of the perception signal, increasing the scanning beam of the perception signal or increasing the time domain resources of the perception signal includes: when the service priority of the perception service is higher than the service priority of the communication service, the perception service can seize the time and frequency resources of the communication service with lower priority.

[0200] It should be noted that the first network unit is a network unit corresponding to the above-mentioned method applied to the first network unit side, and all implementation methods in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0201] like Figure 8 As shown, an embodiment of the present invention further provides a target device 80, including:

[0202] The transceiver module 81 is used to receive the sensing data sent by the first network unit;

[0203] A processing module 82, configured to determine perception abnormality information according to the perception data;

[0204] The transceiver module 81 is also used to send indication information to the first network unit, wherein the indication information is used to indicate the perception abnormality information, and the perception abnormality information is used to enable the network unit to determine a perception performance adjustment plan, and the perception performance adjustment plan is used to enable the network unit to optimize the perception performance.

[0205] Optionally, determining the perception abnormality information according to the perception data includes:

[0206] According to the perception data, N groups of perception results are obtained; wherein N is a positive integer;

[0207] Determine abnormal sensing results according to the N groups of sensing results;

[0208] According to the abnormal perception result, perception abnormality information is determined.

[0209] Optionally, determining an abnormal perception result according to the N groups of perception results includes:

[0210] Obtaining the median of the N groups of perception results;

[0211] If the difference between the perception result and the median is greater than a preset abnormal threshold, the perception result is determined to be an abnormal perception result.

[0212] Optionally, determining the perceived abnormality information according to the abnormality perception result includes:

[0213] If the abnormal perception result is a distance perception result, determining that the abnormal perception information includes distance abnormality information;

[0214] If the abnormal perception result is a speed perception result, determining that the abnormal perception information includes abnormal speed information;

[0215] If the perception abnormality result is an angle perception result, it is determined that the perception abnormality information includes angle abnormality information.

[0216] It should be noted that the computing power device is a device corresponding to the method on the computing power device side mentioned above, and all implementation methods in the above method embodiments are applicable to this embodiment and can achieve the same technical effect.

[0217] The embodiment of the present invention further provides a network device, comprising: a processor and a memory storing a computer program, wherein when the computer program is executed by the processor, the method described above is executed. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0218] The embodiment of the present invention also provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute the method described above. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0219] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0220] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0221] In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0222] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0223] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0224] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, ROM, RAM, magnetic disks, or optical disks.

[0225] In addition, it should be noted that in the apparatus and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. Moreover, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order, and some steps can be performed in parallel or independently of each other. For those of ordinary skill in the art, it is understood that all or any steps or components of the method and apparatus of the present invention can be implemented in any computing device (including processors, storage media, etc.) or a network of computing devices in hardware, firmware, software or a combination thereof, which can be achieved by those of ordinary skill in the art using their basic programming skills after reading the description of the present invention.

[0226] Therefore, the purpose of the present invention can also be achieved by running a program or a group of programs on any computing device. The computing device can be a well-known general device. Therefore, the purpose of the present invention can also be achieved by simply providing a program product containing a program code that implements the method or device. That is to say, such a program product also constitutes the present invention, and the storage medium storing such a program product also constitutes the present invention. Obviously, the storage medium can be any well-known storage medium or any storage medium developed in the future. It should also be pointed out that in the device and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. In addition, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order. Some steps can be performed in parallel or independently of each other.

[0227] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for determining a network unit perception mode, characterized in that: Applied to a first network element in a network including multiple network elements, the method comprises: Acquire a first perceived signal strength of the first network element and a second perceived signal strength of at least one second network element in the network measured by the first network element; Determining a sensing mode of a first network unit according to the first sensed signal strength; When the perception mode of the first network unit is a high perception mode, it is determined whether the first network unit is in a main perception unit mode or a secondary perception unit mode according to the first perception signal strength and the second perception signal strength of at least one second network unit.

2. The method for determining a network unit perception mode according to claim 1, characterized in that: Determining a sensing mode of a first network unit according to the first sensed signal strength includes: When the first perception signal strength is less than a first perception signal strength threshold, the perception mode of the first network unit is determined to be a low perception mode; otherwise, the perception mode of the first network unit is determined to be a high perception mode.

3. The method for determining a network unit perception mode according to claim 1, characterized in that: Determining, according to the first perceived signal strength and the second perceived signal strength of at least one second network unit, whether the first network unit is in a primary sensing unit mode or a secondary sensing unit mode includes: When the first perception signal strength is greater than the second perception signal strengths of all second network units, the first network unit is determined to be in a main perception unit mode; otherwise, the first network unit is determined to be in a secondary perception unit mode.

4. The method for determining a network unit perception mode according to claim 3, characterized in that: When the first network unit is determined to be in the main sensing unit mode, the method further includes: When the second perception signal strength of the target second network unit is less than the second perception signal strength threshold, a notification signal is sent to the target second network unit, wherein the notification signal is used to instruct the target second network unit to enter a low perception mode, and the target second network unit is any second network unit among at least one second network unit.

5. The method for determining a network unit perception mode according to claim 3 or 4, characterized in that: When determining that the first network unit is in the main sensing unit mode, the method further includes: Acquiring perception data perceived by the first network unit; The perception data is sent to a target device, and the perception data is used to determine a perception performance adjustment scheme.

6. The method for determining a network unit perception mode according to claim 5, characterized in that: After the sensing data is sent to the target device, the method further includes: receiving indication information fed back by the target device according to the sensing data, wherein the indication information is used to indicate sensing abnormal information; Determining a perception performance adjustment plan according to the perception abnormality information indicated by the indication information; The perceptual performance is optimized according to the perceptual performance adjustment scheme.

7. The method for determining a network unit perception mode according to claim 6, characterized in that: The step of determining a perception performance adjustment scheme according to the perception abnormality information includes: When the perception abnormality information is distance abnormality information, determining the perception performance adjustment scheme is: increasing the sending bandwidth of the perception signal and increasing the sending power of the perception signal; When the perception abnormality information is angle abnormality information, determining the perception performance adjustment scheme is: increasing the scanning beam of the perception signal and increasing the transmission power of the perception signal; When the perception abnormality information is speed abnormality information, the perception performance adjustment scheme is determined as: increasing the time domain resources of the perception signal and increasing the transmission power of the perception signal.

8. The method for determining a network unit perception mode according to claim 7, characterized in that: The indication information is also used to indicate the service priority of the sensing service; The scheme of increasing the transmission bandwidth of the perception signal, increasing the scanning beam of the perception signal or increasing the time domain resources of the perception signal includes: when the service priority of the perception service is higher than the service priority of the communication service, the perception service can seize the time and frequency resources of the communication service with lower priority.

9. A method for determining perceived abnormal information, characterized in that: Applied to a target device, the method comprises: receiving sensing data sent by the first network unit; Determining perception abnormality information according to the perception data; Indication information is sent to the first network unit, where the indication information is used to indicate the perceived abnormality information, where the perceived abnormality information is used to enable the network unit to determine a perceived performance adjustment plan, where the perceived performance adjustment plan is used to enable the network unit to optimize perceived performance.

10. The method for determining perceived abnormal information according to claim 9, characterized in that: Determining the perception abnormality information according to the perception data includes: According to the perception data, N groups of perception results are obtained; wherein N is a positive integer; Determine abnormal sensing results according to the N groups of sensing results; According to the abnormal perception result, perception abnormality information is determined.

11. The method for determining abnormal perception information according to claim 10, characterized in that: Determining abnormal perception results according to the N groups of perception results includes: Obtaining the median of the N groups of perception results; If the difference between the perception result and the median is greater than a preset abnormal threshold, the perception result is determined to be an abnormal perception result.

12. The method for determining abnormal perception information according to claim 10, characterized in that: Determining the sensed abnormality information according to the abnormality sensed result includes: If the abnormal perception result is a distance perception result, determining that the abnormal perception information includes distance abnormality information; If the abnormal perception result is a speed perception result, determining that the abnormal perception information includes abnormal speed information; If the perception abnormality result is an angle perception result, it is determined that the perception abnormality information includes angle abnormality information.

13. A first network unit, characterized in that: include: an acquisition module, configured to acquire a first perceived signal strength of the first network unit and a second perceived signal strength of at least one second network unit in the network measured by the first network unit; A processing module is used to determine the perception mode of the first network unit according to the first perception signal strength; when the perception mode of the first network unit is a high perception mode, determine whether the first network unit is in a main perception unit mode or a secondary perception unit mode according to the first perception signal strength and the second perception signal strength of at least one second network unit.

14. A target device, characterized in that: include: A transceiver module, used for receiving the sensing data sent by the first network unit; A processing module, used to determine the perception abnormality information according to the perception data; The transceiver module is also used to send indication information to the first network unit, the indication information is used to indicate the perception abnormality information, the perception abnormality information is used to enable the network unit to determine a perception performance adjustment plan, and the perception performance adjustment plan is used to enable the network unit to optimize the perception performance.

15. A network device, characterized in that: include: A processor and a memory storing a computer program, wherein when the computer program is executed by the processor, the method according to any one of claims 1 to 8 or the method according to any one of claims 9 to 12 is executed.

16. A computer-readable storage medium, characterized in that: The storage device comprises a storage device and a storage device. When the storage device is executed on a computer, the storage device causes the computer to execute the method according to any one of claims 1 to 8 or the method according to any one of claims 9 to 12.

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