CN113873619A - Network device power adjustment method, electronic device and storage medium - Google Patents
Network device power adjustment method, electronic device and storage medium Download PDFInfo
- Publication number
- CN113873619A CN113873619A CN202010623860.6A CN202010623860A CN113873619A CN 113873619 A CN113873619 A CN 113873619A CN 202010623860 A CN202010623860 A CN 202010623860A CN 113873619 A CN113873619 A CN 113873619A
- Authority
- CN
- China
- Prior art keywords
- power
- beam grid
- parameter
- grid
- resource scheduling
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 54
- 230000015654 memory Effects 0.000 claims description 17
- 230000005670 electromagnetic radiation Effects 0.000 description 16
- 238000012544 monitoring process Methods 0.000 description 10
- 230000005540 biological transmission Effects 0.000 description 9
- 238000004364 calculation method Methods 0.000 description 7
- 238000010295 mobile communication Methods 0.000 description 6
- 238000011156 evaluation Methods 0.000 description 5
- 101150071746 Pbsn gene Proteins 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000007717 exclusion Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000005855 radiation Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 101150071384 CIRBP gene Proteins 0.000 description 1
- 101100167307 Xenopus laevis cirbp-a gene Proteins 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 238000005315 distribution function Methods 0.000 description 1
- 230000005684 electric field Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000005865 ionizing radiation Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000003595 spectral effect Effects 0.000 description 1
- 230000007723 transport mechanism Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/02—Power saving arrangements
- H04W52/0203—Power saving arrangements in the radio access network or backbone network of wireless communication networks
- H04W52/0206—Power saving arrangements in the radio access network or backbone network of wireless communication networks in access points, e.g. base stations
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/02—Power saving arrangements
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention relates to a network equipment power adjusting method, electronic equipment and a storage medium, wherein the method comprises the following steps: the embodiment of the invention comprises the following steps: dividing a coverage area of a first cell into N wave beam grids, wherein N is more than or equal to 1; acquiring a power parameter of a first beam grid, wherein the first beam grid is any one of the N beam grids; and adjusting the resource scheduling parameter of the first beam grid according to the power parameter of the first beam grid and a preset power threshold value so as to adjust the power of the network equipment. In the embodiment of the invention, the coverage area of a cell is divided into one or more beam grids in a spatial domain, and the power of each beam grid is monitored to determine whether the power of the current beam grid exceeds a preset power threshold. And when the current beam grid exceeds a preset power threshold value, adjusting the resource scheduling parameters of the current beam grid, so that the power of the network equipment is adjusted to meet the safety requirement.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to a network device power adjustment method, an electronic device, and a storage medium.
Background
For human health, the power of electromagnetic radiation of network devices such as base stations in a mobile communication system should be controlled within a safe range.
The 5G mobile communication system supports a larger bandwidth than the previous generation mobile communication system. For example, in the 3GPP rel.15 standard, 5G supports a maximum 400MHz carrier bandwidth and supports carrier aggregation for a maximum 16 carrier elements, which is 20 times the maximum carrier bandwidth supported by 4G. When the transmitting power spectral density of the base station reaches a certain degree, the transmitting power of the 5G base station can be tens of times greater than that of the previous generation base station, so that the 5G base station has a very strong electromagnetic radiation Field (EMF). The above factors make the electromagnetic radiation field a problem that must be studied seriously in the 5G era.
Disclosure of Invention
The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.
The embodiment of the invention provides a network equipment power adjusting method, electronic equipment and a storage medium, which can realize monitoring and management on the electromagnetic radiation power of network equipment in a mobile communication system so as to enable the electromagnetic radiation power of the network equipment to accord with the safety standard.
In one aspect, an embodiment of the present invention provides a method for adjusting power of a network device, including:
dividing a coverage area of a first cell into N wave beam grids, wherein N is more than or equal to 1;
acquiring a power parameter of a first beam grid, wherein the first beam grid is any one of the N beam grids;
and adjusting the resource scheduling parameter of the first beam grid according to the power parameter of the first beam grid and a preset power threshold value so as to adjust the power of the network equipment.
In another aspect, an embodiment of the present invention provides an electronic device, including:
a memory for storing a program;
a processor for executing the memory-stored program, the processor being configured to perform any of the network device power adjustment methods described above when the processor executes the memory-stored program.
In yet another aspect, an embodiment of the present invention provides a storage medium storing computer-executable instructions for performing any one of the network device power adjustment methods described above.
The embodiment of the invention comprises the following steps: dividing a coverage area of a first cell into N wave beam grids, wherein N is more than or equal to 1; acquiring a power parameter of a first beam grid, wherein the first beam grid is any one of the N beam grids; and adjusting the resource scheduling parameter of the first beam grid according to the power parameter of the first beam grid and a preset power threshold value so as to adjust the power of the network equipment. In the embodiment of the invention, the coverage area of one cell of the network equipment is divided into one or more beam grids in an airspace, and the power of each beam grid is monitored to determine whether the power of the current beam grid exceeds a preset power threshold. And when the current wave beam grid exceeds a preset power threshold value, adjusting the resource scheduling parameter of the current wave beam grid to adjust the power of the network equipment, so that the electromagnetic radiation power of the network equipment can meet the safety requirement.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the example serve to explain the principles of the invention and not to limit the invention.
Fig. 1 is a flowchart illustrating a method for adjusting power of a network device according to an embodiment of the present invention;
FIG. 2 is a schematic sub-flow chart of step S200 in FIG. 1;
FIG. 3 is a schematic sub-flow chart of step S210 in FIG. 2;
FIG. 4 is a schematic sub-flow chart of step S211 in FIG. 3;
FIG. 5 is a sub-flowchart of step S2111 in FIG. 4;
FIG. 6 is a schematic view of another sub-flow of step S200 in FIG. 1;
FIG. 7 is a diagram illustrating a relationship between a first period and a second period according to an embodiment of the present invention;
FIG. 8 is a schematic sub-flowchart of step S220 in FIG. 6;
fig. 9 is a schematic diagram illustrating a distribution manner of adjusted on-state timeslots and off-state timeslots in a radio frame according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It should be understood that in the description of the embodiments of the present invention, a plurality (or a plurality) means two or more, more than, less than, more than, etc. are understood as excluding the number, and more than, less than, etc. are understood as including the number. If the description of "first", "second", etc. is used for the purpose of distinguishing technical features, it is not intended to indicate or imply relative importance or to implicitly indicate the number of indicated technical features or to implicitly indicate the precedence of the indicated technical features.
For human health, the power of electromagnetic radiation of network devices such as base stations in a mobile communication system should be controlled within a safe range. In the prior art, the area exceeding a certain electromagnetic radiation intensity is called an Exclusion zone (Exclusion zones), and the area forms electromagnetic damage to organisms. The boundaries of Exclusion zones are called Compliance boundaries (company boundaries). In the vicinity of the installation location of the base station, the company boundary can be further divided into a work limit area (Worker limit) and a Public limit area (Public limit) according to the intensity of electromagnetic radiation. The work restricted area has a greater intensity of electromagnetic radiation than the public restricted area, allowing only the staff to stay for a necessary period of time, and the public restricted area does not allow the general public to enter.
In the EMF evaluation method recommended by ITU-T k.100, the formula for evaluating the electromagnetic radiation intensity at a certain distance is as follows:
In the formula, d is the distance between the electromagnetic radiation observation point and the base station, eirp is equivalent isotropic radio frequency power, eirp is the base station transmission power + antenna gain, and e is the electromagnetic radiation intensity.
Taking a 900MHz base station as an example, the maximum transmitting power of the base station is 100W, and for a 17dBi antenna, eirp is 5000W. The common public reference value of ICNIRP of the frequency band is required to be that the electric field intensity is not higher than 41V/m, and the public restricted area range is calculated to be within 9.5 meters of the base station antenna by an evaluation formula.
The ICNIRP EMF estimation method described above is calculated with the nominal maximum transmit power of the base station. However, the base station is not always in the nominal maximum transmit power state. Therefore, the actual transmit power of the base station should also be taken into account in the EMF evaluation.
However, the actual transmit power of the base station is typically much less than the nominal maximum transmit power of the base station, resulting in an excessively stringent cirp estimate. EC62232 and TR62669 issued by the international non-ionizing radiation commission IEC consider the actual transmission power factor of the base station, and evaluate the EMF according to 95% of the maximum value in the Complementary Cumulative Distribution Function (CCDF) curve of the actual power. The IEC evaluation guidelines avoid the extensive nature of the INCIRP deterministic evaluation method, replacing the nominal maximum transmit power with the actual transmit power statistics of the base station, but require the provision of the actual maximum transmit power (95% of the maximum in the CCDF curve), spatial power distribution, and are more complex.
Even with base stations deployed at the actual maximum transmit power, there is still a 5% probability of exceeding the actual maximum transmit power. For example, when a User Equipment (UE) allocates time-frequency domain resources of a whole carrier bandwidth, the power of radio frequency signals transmitted by a base station is concentrated in a specific direction, so that the power of radio frequency signals currently in the specific direction exceeds the actual maximum transmission power. In such extreme cases, in order to ensure EMF safety, the transmit power of the base station needs to be monitored, and measures are taken to limit the transmit power as necessary to meet the EMF requirements.
The transmission signal of the 5G Massive MIMO base station has nondeterministic property in frequency domain, time domain and space domain. In the aspects of frequency domain and time domain, only the physical resource block PRB to be scheduled has actual transmission signals; in the aspect of space domain, the transmission signal of the Massive MIMO base station has space domain directionality.
Considering the non-determinacy of the transmission signal of the 5G Massive MIMO base station in the frequency domain, the time domain and the space domain, the base station should support the frequency domain-time domain-space domain monitoring capability of the transmission signal.
Based on this, the embodiment of the present invention provides a network device power adjustment method, an electronic device, and a storage medium, which implement monitoring and management of electromagnetic radiation power of a network device by comprehensively monitoring the signal power transmitted by a base station in an airspace and a time domain, so that the electromagnetic radiation power of the network device meets a safety standard.
The embodiment of the present invention will exemplarily describe the network device power adjustment method provided in the embodiment of the present invention by taking a base station as an example. It should be understood that the network device described in the embodiment of the present invention is not limited to the base station, and may also be other network devices such as a repeater.
Fig. 1 shows a flowchart of a network device power adjustment method according to an embodiment of the present invention. As shown in fig. 1, the method for adjusting power of a network device according to an embodiment of the present invention includes, but is not limited to, the following steps S100 to S300.
S100, dividing a coverage area of a first cell into N wave beam grids, wherein N is more than or equal to 1;
according to the embodiment of the invention, the coverage area of one Cell (Cell) is divided into a plurality of Beam grids (Beam grids) in a spatial domain. The beams transmitted from the network devices are correspondingly directed into a single beam grid. These beams, directed to different beam grids, form the beam space of the cell. In particular implementations, the individual Beam grids may be numbered, such as Beam0, Beam1, Beam2, …, Beam (N-1). Based on this embodiment, the first cell may be a cell under the base station, and the first cell is divided into N (N > 1) beam grids in a spatial domain.
An extreme case where one UE allocates time-frequency domain resources of the entire carrier bandwidth, since in this extreme case the actual power of the base station exceeds the actual maximum transmit power set based on 95% of the CCDF, in another possible embodiment, also includes the case where N is 1, i.e.: there is only one beam grid in the coverage area of one cell.
S200, acquiring the power of a first beam grid in the first cell.
The first beam grid may characterize any one of the N beam grids. In the embodiment of the present invention, the number of the first beam grid is given as Beami, i is 0, 1, 2, …, or (N-1).
In a specific implementation of this embodiment, the power of each beam grid in the first cell may be obtained to monitor the power of each beam grid in the airspace, and then monitor and adjust the power of the network device according to the power of each beam grid in the subsequent steps. It should be understood that, the embodiment of the present invention will describe a process of implementing monitoring adjustment of network device power according to the power of the beam grid, taking the first beam grid under the first cell as an example.
As shown in fig. 2, as an example, the obtaining of the power of the first beam grid in the first cell in step S200 may specifically include: step S210, a first power parameter of the first beam grid in a first period is obtained. Therefore, the power of the first beam grid is monitored according to a certain time granularity.
As shown in fig. 3, the first cycle may consist of T slots, T > 1, for example. In step S210, obtaining a first power parameter of the first beam grid in the first period may be implemented by the following sub-steps S211 and S212.
Step S211, acquiring power P (i, t) of each time slot of the first beam grid in a first period;
for example, the first cycle includes 14 slots, i.e., slot 0, slot 1, …, and slot 13. The power corresponding to the first beam grid at slot 0, slot 1, …, and slot 13 is obtained, respectively.
Step S212, obtaining a first average power of the power of T time slots in the first period, and obtaining a first power parameter according to the first average power.
Specifically, the obtaining of the first power parameter of the first beam grid in the first period may be implemented by the following formulas (1) and (2):
in formula (1), w indicates the number of the first period; in the formula (2), TxPw is single-channel transmission power, and has a unit of dB; AntGain (i) is the gain of the single-channel antenna in the i direction, and the unit is dB; and P (i, t) dB is the dB value of P (i, t), namely the channel power gain and the BF gain.
In this embodiment, an average value of powers corresponding to T slots in a first period of a first beam grid is calculated by using formula (1) to obtain a first average power; and then, with the combination of the formula (1), obtaining a first power parameter of the first beam grid in the first period from the average power in the first period through the formula (2).
As shown in fig. 4, in a specific implementation, the power of each slot of the first beam grid in step S211 may be obtained through the following sub-steps S2111 and S2112.
Step S2111, determining the UE belonging to the first beam grid in each time slot.
As shown in fig. 5, before acquiring the power of each slot of the first beam grid, it needs to determine the UE to which each slot belongs in the first beam grid, which may specifically be implemented by the following steps S2111a to S2111 c.
Step S2111a, obtaining the forming weight of each scheduled UE in each time slot in the first cell.
For example, in step S2111a, the projection vector of each UE on each beam in each time slot is obtained according to the forming weight of each UE in each time slot and the direction vector of each beam by specifically obtaining the forming weight of each UE in the first cell.
For example, suppose there are H scheduled UEs in a cell, j is the number of the UE, j is 0, …, (H-1), H ≧ 1; the projection vector of the beam projected to the beam space of each UE scheduled by the base station side is as follows: a (i, j) ═ Vi，WjIn which ViIndicating the direction vector, W, of the beam grid in unit spacejAnd indicating the forming weight of the UE at the base station side.
Step S2111b, according to the shaped weight of each scheduled UE in each time slot, obtaining the maximum projection value of the beam of each scheduled UE on a single beam grid, and according to the maximum projection value, determining the beam grid to which each UE belongs in each time slot.
For a single UE, to determine which beam grid it belongs to, the current time is compared, the size of its "power" contribution to each beam grid is the most "power" contribution to a certain beam grid, and the beam grid is considered as the beam to which the UE belongs.
Specifically, the beam grids to which each UE belongs may be determined according to the following formula:
according to the above formula, the beam grids to which all UEs respectively belong can be determined. Argmax is an argument after taking the maximum value for a certain variable. For example, a (5, j) is max (a (0, j), a (1, j), …, a (N-1, j)), then beamid (j) is 5, i.e., Beam5 is the Beam grid to which the UEj current slot belongs.
Step S2111c, determining the UE belonging to the first beam grid in each time slot according to the beam grid to which each UE belongs in each time slot.
After determining the beam grids to which each UE belongs in each time slot, it is obvious that the UE belonging to the first beam grid in each time slot can be derived.
Step S2112, obtaining the shaped weight of the determined UE, obtaining the projection value of the beam of the scheduled determined UE on the first beam grid according to the shaped weight, and determining the power of each time slot of the first beam grid according to the projection value.
The concrete implementation formula is as follows:
in the embodiment, the UE belonging to the first beam grid is determined according to the shaped weight of the UE; and then, calculating the power of the first beam grid according to the projection value of the beam of the determined UE in the first beam grid direction, so that the power calculation of the beam grid can be simplified, and the calculation efficiency is improved.
S300, according to the power of the first beam grid and a preset power threshold, adjusting a resource scheduling parameter of the first beam grid to adjust the power of the network device.
As an example, the resource scheduling parameter of the first beam grid may be adjusted according to the first power parameter and a preset first power parameter threshold. The first power parameter threshold may be preset by an operator or a network device manufacturer, and when it is monitored that the first power parameter is greater than the first power parameter threshold, it may be considered that a risk of an excessively high radiation power of the network device exists at present, and the resource scheduling parameter of the first beam grid should be adjusted to reduce the power of the network device.
As shown in fig. 6, in some embodiments, the obtaining of the power of the first beam grid in the first cell in step S200 may further include step S220 of obtaining a second power parameter of the first beam grid in a second period, where the second period includes M consecutive first periods, and M > 1.
In a specific implementation, the first period may be a calculation period, and the second period may be a monitoring period, as shown in fig. 7, where the second period may include M consecutive first periods. Therefore, the calculation period is used as the sliding window granularity of the monitoring period, and the function of reducing the calculation amount can be achieved.
It should be understood that, in a specific implementation, the time length of the second period may not be fixed, and the time length of the second period may be flexibly adjusted according to the actual implementation, that is, the value of M may be flexibly adjusted. Since the requirements for EMF are different in different countries and regions, the EMF protection function should allow the operator to control the time-domain average radiated power of the network device, and the monitoring period of the time-domain average radiated power may include 6 minutes, 15 minutes, 30 minutes, or other values specified by the operator. Therefore, the power data of the calculation period can be used for acquiring the power of the monitoring periods with different time lengths.
As shown in fig. 8, in step S220, the second power parameter of the first beam grid in the second period may be obtained through the following sub-steps S221 and S222.
Step S221, acquiring first power parameters respectively corresponding to M continuous first periods;
step S222, obtaining second average power of the M obtained first power parameters, and obtaining second power parameters according to the second average power.
For example, the second power parameter of the first beam grid during the second period may be calculated by combining equation (2) and equation (3) as follows:
correspondingly, in step S300, adjusting the resource scheduling parameter of the first beam grid according to the power of the first beam grid and the preset power threshold to adjust the power of the network device may include: and adjusting the resource scheduling parameter of the first beam grid according to the second power parameter and a preset second power parameter threshold. The second power parameter threshold is an EMF threshold, which may be at a cell level or a Beam level, that is, each Beam grid may be set with a threshold. Generally, the method is obtained by two schemes, one scheme is obtained through actual measurement, and the other scheme is obtained through calculation according to the following formula:
PEMF＝(d*e)2/30
wherein d is the distance between the test point and the network equipment and the unit is m; e is the EMF limit of the test point in V/m.
When it is monitored that the second power parameter is greater than the second power parameter threshold, it may be considered that the average power of the network device in the time sliding window period of the current time domain is too high, and there is a risk that the radiation power of the network device is too high, and the resource scheduling parameter of the first beam grid should be adjusted to reduce the power of the network device.
As an example, the resource scheduling parameter may include the number of downlink time slots in the on state. Correspondingly, the adjusting the resource scheduling parameter of the first beam grid in step 200 may specifically be adjusting the number of downlink time slots in the first beam grid in the on state.
For example, adjusting the resource scheduling parameter of the first beam grid according to the power of the first beam grid and a preset power threshold to adjust the power of the network device may specifically include: and when the power of the first beam grid is larger than a preset power threshold, reducing the number of downlink time slots in an opening state in the first beam grid.
The following is an exemplary description of how to adjust the number of downlink slots in the on state in the first beam grid in conjunction with an example.
First, the number of downlink timeslots in a radio frame, denoted as DL _ SlotNum, may be determined according to the frame structure configuration. Recording the number of time slots needing to be in an open state as SlotNum _ ON, and initializing the time slots to be in the open state to be DL _ SlotNum; the number of time slots in the OFF state is recorded as SlotNum _ OFF and initialized to 0. For example, when it is detected that the second power parameter of the first beam grid is greater than the preset second power parameter threshold, which indicates that the power of the first beam grid is too high, the frequency of scheduling the UE may be reduced by reducing the number of downlink time slots in the first beam grid in the on state, thereby achieving power reduction of the network device.
When the number of the downlink time slots in the on state needs to be reduced, the number of the current time slots in the on state and the number of the current time slots needing to be closed can be determined; after determining the number of the time slots which need to be closed at present, determining the distribution mode of the adjusted time slots in the open state and the adjusted time slots in the closed state in the wireless frame, specifically, the equal interval distribution mode as shown in fig. 9 can be adopted; and adjusting the time slot switch state in the wireless frame according to the determined distribution mode.
It should be understood that the number of slots that need to be currently turned off may be determined according to a current power adjustment ratio, which may be a ratio of the first power parameter of the current first beam grid exceeding the corresponding first power parameter threshold. For example, when it is detected that the second power parameter of the first beam grid is greater than the preset second power parameter threshold, which indicates that the power of the first beam grid is too high, the number of downlink slots in the on state in the first beam grid needs to be reduced. At this time, first power parameters corresponding to M first periods of the first beam grid in the second period may be obtained, a maximum value of the M first power parameters is determined and recorded as maxptx (beami), and then the current power adjustment ratio may be obtained by the following formula:
p0 is the first power parameter threshold, maxptx (beami), and Δ ratio (beami) is the current power adjustment ratio.
As an example, the resource scheduling parameter may include a number of physical resource blocks (PRB for short). Correspondingly, in step 200, adjusting the resource scheduling parameter of the first beam grid according to the power of the first beam grid and the preset power threshold to adjust the power of the network device includes: and when the power of the first beam grid is larger than a preset power threshold value, reducing the number of PRBs in the first beam grid.
Illustratively, when it is detected that the second power parameter of the first beam grid is greater than the preset second power parameter threshold, which indicates that the power of the first beam grid is too high, the power of the first beam grid may be reduced by reducing the number of PRBs scheduled by the first beam grid, so as to reduce the power of the network device. Specifically, the number of PRBs scheduled in the current first period of the first beam grid may be reduced to be lower than the number of PRBs scheduled in the previous first period.
The method for adjusting the power of the network equipment, provided by the embodiment of the invention, presets the coverage area of a cell into one or more beams in a space domain, and determines whether the power of the current beam exceeds a preset power threshold value or not by monitoring the power of each beam. And when the current wave beam exceeds a preset power threshold value, adjusting the resource scheduling parameter of the current wave beam to adjust the power of the network equipment, so that the electromagnetic radiation power of the network equipment can meet the safety requirement.
Fig. 10 shows an electronic device 70 provided by an embodiment of the present invention. As shown in fig. 10, the electronic device 70 includes, but is not limited to:
a memory 72 for storing programs;
and a processor 71 for executing the program stored in the memory 72, wherein when the processor 71 executes the program stored in the memory 72, the processor 71 is configured to execute the network device power adjustment method.
The processor 71 and the memory 72 may be connected by a bus or other means.
The memory 72, which is a non-transitory computer readable storage medium, can be used to store non-transitory software programs and non-transitory computer executable programs, such as the network device power adjustment method described in the embodiments of the present invention. The processor 71 implements the network device power adjustment method described above by running non-transitory software programs and instructions stored in the memory 72.
The memory 72 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data for performing the network device power adjustment method described above. Further, the memory 72 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 72 may optionally include memory located remotely from the processor 71, and these remote memories may be connected to the processor 71 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Non-transitory software programs and instructions required to implement the network device power adjustment method described above are stored in the memory 72 and, when executed by the one or more processors 71, perform the network device power adjustment method described above, such as performing method steps S200 to S300 described in fig. 1, method step S210 described in fig. 2, method steps S211 to S212 described in fig. 3, method steps S2111 to S2112 described in fig. 4, method steps S2111a to S2111c described in fig. 5, method steps S210 to S220 described in fig. 6, and method steps S221 to S222 described in fig. 8.
The embodiment of the invention also provides a storage medium, which stores computer-executable instructions, and the computer-executable instructions are used for executing the network equipment power adjustment method.
In one embodiment, the storage medium stores computer-executable instructions, which are executed by one or more control processors 71, for example, by one processor 71 in the electronic device 70, and which cause the one or more processors 71 to perform the network device power adjustment method, for example, the method steps S100 to S300 described in fig. 1, the method step S210 described in fig. 2, the method steps S211 to S212 described in fig. 3, the method steps S2111 to S2112 described in fig. 4, the method steps S2111a to S2111c described in fig. 5, the method steps S210 to S220 described in fig. 6, and the method steps S221 to S222 described in fig. 8.
The above described embodiments are merely illustrative, wherein elements illustrated as separate components may or may not be physically separate, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
One of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
While the preferred embodiments of the present invention have been described in detail, the present invention is not limited to the above embodiments, and those skilled in the art will appreciate that the present invention is not limited thereto. Under the shared conditions, various equivalent modifications or substitutions can be made, and the equivalent modifications or substitutions are included in the scope of the invention defined by the claims.
Claims (12)
1. A method for network device power adjustment, comprising:
dividing a coverage area of a first cell into N wave beam grids, wherein N is more than or equal to 1;
acquiring a power parameter of a first beam grid, wherein the first beam grid is any one of the N beam grids;
and adjusting the resource scheduling parameter of the first beam grid according to the power parameter of the first beam grid and a preset power threshold value so as to adjust the power of the network equipment.
2. The method of claim 1, wherein the power parameter comprises a first power parameter; the obtaining of the power parameter of the first beam grid includes:
a first power parameter of the first beam grid over a first period is obtained.
3. The method of claim 2, wherein the power threshold comprises a first power parameter threshold;
the adjusting the resource scheduling parameter of the first beam grid according to the power parameter of the first beam grid and a preset power threshold to adjust the power of the network device includes:
and adjusting the resource scheduling parameter of the first beam grid according to the first power parameter and the first power parameter threshold value so as to adjust the power of the network equipment.
4. The method of claim 2, wherein the first cycle consists of T slots, wherein T > 1; the obtaining a first power parameter of the first beam grid during the first period comprises:
acquiring the power of each time slot of the first beam grid in the first period;
and calculating first average power of the T time slots in the first period, and acquiring a first power parameter according to the first average power.
5. The method of claim 4, wherein the obtaining the power of each slot of the first beam grid comprises:
determining User Equipment (UE) belonging to the first beam grid in each time slot;
acquiring a shaped weight of the determined UE, and acquiring a projection value of a beam of the determined UE on the first beam grid according to the shaped weight;
determining a power per slot of the first beam grid from the projection values.
6. The method of claim 5, wherein the determining the UE belonging to the first beam grid in each slot comprises:
acquiring a forming weight of each scheduled UE in the first cell in each time slot;
acquiring a projection maximum value of a beam of each scheduled UE on a single beam grid according to a forming weight of each scheduled UE in each time slot, and determining the beam grid to which each UE belongs in each time slot according to the projection maximum value;
and determining User Equipment (UE) which belongs to the first beam grid in each time slot according to the beam grids which the UE respectively belongs to in each time slot.
7. The method of claim 2, wherein the power parameter further comprises a second power parameter;
the obtaining a power parameter of a first beam grid pointing to a first beam grid further comprises:
acquiring the first power parameters respectively corresponding to M continuous first periods, wherein M is larger than 1;
and solving second average power of the M acquired first power parameters, and acquiring second power parameters according to the second average power.
8. The method of claim 7, wherein the power threshold comprises a second power parameter threshold;
the adjusting the resource scheduling parameter of the first beam grid according to the power parameter of the first beam grid and a preset power threshold to adjust the power of the network device includes:
and adjusting the resource scheduling parameter of the first beam grid according to the second power parameter and the second power parameter threshold value so as to adjust the power of the network equipment.
9. The method of claim 1, wherein the resource scheduling parameter comprises a number of downlink time slots in an on state;
the adjusting, according to the power of the first beam grid and a preset power threshold, a resource scheduling parameter of the first beam grid to adjust the power of a network device includes:
and when the power of the first beam grid is greater than a preset power threshold, reducing the number of downlink time slots in an on state in the first beam grid.
10. The method of claim 1, wherein the resource scheduling parameter comprises a number of physical resource blocks;
the adjusting, according to the power of the first beam grid and a preset power threshold, a resource scheduling parameter of the first beam grid to adjust the power of a network device includes:
and when the power of the first beam grid is greater than a preset power threshold value, reducing the number of physical resource blocks in the first beam grid.
11. An electronic device, comprising:
a memory for storing a program;
a processor for executing the memory-stored program, the processor being configured to perform, when the processor executes the memory-stored program:
the method of any one of claims 1 to 10.
12. A storage medium having stored thereon computer-executable instructions for performing: the method of any one of claims 1 to 10.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010623860.6A CN113873619A (en) | 2020-06-30 | 2020-06-30 | Network device power adjustment method, electronic device and storage medium |
| PCT/CN2021/101872 WO2022001795A1 (en) | 2020-06-30 | 2021-06-23 | Network device power adjustment method, electronic device and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010623860.6A CN113873619A (en) | 2020-06-30 | 2020-06-30 | Network device power adjustment method, electronic device and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113873619A true CN113873619A (en) | 2021-12-31 |
Family
ID=78981046
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010623860.6A Pending CN113873619A (en) | 2020-06-30 | 2020-06-30 | Network device power adjustment method, electronic device and storage medium |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN113873619A (en) |
| WO (1) | WO2022001795A1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI838828B (en) * | 2022-02-16 | 2024-04-11 | 日商藤倉股份有限公司 | Output adjustment method of wireless communication module, manufacturing method of wireless communication module and output adjustment device of wireless communication module |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114554583B (en) * | 2022-04-01 | 2024-06-07 | 上海星思半导体有限责任公司 | Signal power adjustment method and device and electronic equipment |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100365949C (en) * | 2004-05-17 | 2008-01-30 | 大唐移动通信设备有限公司 | Method for implementing downlink power control in mobile communication system having intelligent antenna |
| US8125917B2 (en) * | 2008-10-10 | 2012-02-28 | Avaya Inc. | Optimisation of transmission parameters of access points in wireless networks |
| WO2018205435A1 (en) * | 2017-05-10 | 2018-11-15 | 华为技术有限公司 | Power control method and relevant device |
| KR102362888B1 (en) * | 2017-09-01 | 2022-02-14 | 주식회사 케이티 | System and method for beam transmission power adjustment for inter-cell interference control |
-
2020
- 2020-06-30 CN CN202010623860.6A patent/CN113873619A/en active Pending
-
2021
- 2021-06-23 WO PCT/CN2021/101872 patent/WO2022001795A1/en active Application Filing
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI838828B (en) * | 2022-02-16 | 2024-04-11 | 日商藤倉股份有限公司 | Output adjustment method of wireless communication module, manufacturing method of wireless communication module and output adjustment device of wireless communication module |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2022001795A1 (en) | 2022-01-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3911034A1 (en) | Power control method and apparatus, and electronic apparatus | |
| US9655055B2 (en) | Wireless communication system, transmission power control apparatus, base station apparatus, parameter providing apparatus, and transmission power control method | |
| US20140323124A1 (en) | Base station device | |
| EP2649838B1 (en) | Signalling for interference management in hetnets | |
| US11412523B2 (en) | Controlling transmitter output in a wireless communications network based on regulatory RF exposure limits | |
| US9432850B2 (en) | Wireless communication system, base station, management server, and wireless communication method | |
| WO2022001795A1 (en) | Network device power adjustment method, electronic device and storage medium | |
| US20230262615A1 (en) | Method for indicating transmit power, method for determining transmit power, terminal, device, and medium | |
| US20210251002A1 (en) | Unlicensed medium access without listen before talk for millimeter wave | |
| US11974236B2 (en) | Controlling total average transmission power of a radio base station | |
| EP3900444B1 (en) | Controlling transmission power of user equipment in a mmwave wireless network | |
| JP2016541188A (en) | Method and system for muting radio resources in a radio communication system | |
| US20150156729A1 (en) | Communication control device, communication control method, program, and communication control system | |
| US11722967B2 (en) | Transmission power control for a radio base station | |
| US12010627B2 (en) | Uplink power control of a terminal device | |
| US20230128635A1 (en) | Predictive sectorized average power control | |
| EP3949175B1 (en) | Transmission power control of a radio base station | |
| EP4087331A1 (en) | Transmission power adjustment method and apparatus, terminal, base station and storage medium | |
| Atanasov et al. | Optimization of Path Loss Models Based on Signal Level Measurements in 4G LTE Network in Sofia. | |
| US20230028383A1 (en) | Beam optimization based on signal measurements in neighboring cells | |
| KR20160037767A (en) | Method and apparatus for predicting interference of unlicense bands in license band wireless communication systems | |
| CN112118060A (en) | Method, apparatus, and computer readable medium for channel sensing |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20211231 |
|
| WD01 | Invention patent application deemed withdrawn after publication |