CN112770381B - Method and device for adjusting total pilot signal transmission power of each sub-area in area - Google Patents

Method and device for adjusting total pilot signal transmission power of each sub-area in area Download PDF

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CN112770381B
CN112770381B CN202110036222.9A CN202110036222A CN112770381B CN 112770381 B CN112770381 B CN 112770381B CN 202110036222 A CN202110036222 A CN 202110036222A CN 112770381 B CN112770381 B CN 112770381B
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陈鸽
葛超
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Academy of Mathematics and Systems Science of CAS
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    • 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
    • H04W52/30—TPC using constraints in the total amount of available transmission power
    • H04W52/32—TPC of broadcast or control channels
    • H04W52/325—Power control of control or pilot channels
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Abstract

The embodiment of the specification discloses a method and a device for adjusting the total power of pilot signal transmission of each sub-area in an area. The scheme comprises the following steps: acquiring the work load of the ith sub-area in the kth sampling period; acquiring the workload distribution condition of each neighbor sub-region of the ith sub-region in the kth sampling period; adjusting the pilot signal emission total power of the ith sub-region in the next sampling period of the kth sampling period based on the workload and the workload distribution condition; where, i is 1, 2., M is the number of sub-regions in the region, and k is 1, 2., N is the number of sampling periods. The technical scheme of the invention can dynamically adjust the total emission power of the pilot channels of each sub-area in the area, so that the traffic born by each sub-area is basically balanced, the communication quality of a user is improved, and meanwhile, the communication network is ensured to meet the coverage condition.

Description

Method and device for adjusting total pilot signal transmission power of each sub-area in area
Technical Field
The present invention relates to the field of mobile communications technologies, and in particular, to a method and an apparatus for adjusting total power of pilot signal transmission of each sub-region in a region.
Background
With the continuous development of mobile communication technology, the traffic of communication networks is greatly increased, the mobile communication is more and more closely linked with the life and work of people, and the requirements of users on the performance of the mobile communication networks are continuously improved. In the process of transmitting and receiving communication signals, the base station plays an important role, but because the traffic is unevenly distributed in different time periods and different areas, the traffic born by each cell is also uneven, so that the carrier frequency of a part of cells in a certain time period is easy to be tensed and blocked, and the carrier frequency of a part of cells in a certain time period is idle and wasted, so that the overall utilization rate of communication resources is low. Therefore, a method capable of dynamically adjusting the transmission power of the pilot channel of each cell is needed, so that the traffic born by each cell is basically balanced, the communication quality of the user is improved, and a communication network has a high coverage rate.
Disclosure of Invention
Embodiments of the present disclosure provide a method and an apparatus for adjusting total pilot signal transmission power of each sub-region in a region, so as to substantially balance traffic borne by each sub-region, and ensure that a communication network meets coverage conditions while improving communication quality of a user.
In order to solve the above technical problem, the embodiments of the present specification are implemented as follows:
the method for adjusting the total power of pilot signal transmission of each sub-region in a region provided by the embodiments of the present specification includes:
acquiring the work load of the ith sub-area in the kth sampling period;
acquiring the workload distribution condition of each neighbor sub-region of the ith sub-region in the kth sampling period;
adjusting the pilot signal emission total power of the ith sub-region in the next sampling period of the kth sampling period based on the workload and the workload distribution condition;
where, i is 1, 2., M is the number of sub-regions in the region, and k is 1, 2., N is the number of sampling periods.
Preferably, the traffic busyness f of the ith sub-region in the kth sampling period is calculatedi(kT) calculating a workload of the ith sub-region during a kth sampling period.
Preferably, the obtaining of the workload distribution of each neighbor sub-region of the ith sub-region in the kth sampling period specifically includes:
and when the kth sampling period is finished, receiving the traffic busyness information of each neighbor sub-region of the ith sub-region in the kth sampling period, and calculating the workload distribution condition according to the traffic busyness information.
Preferably, after the obtaining the workload distribution of each neighboring sub-region of the ith sub-region in the kth sampling period, the method further includes:
transmitting total power P of pilot signals of the ith sub-region in the kth sampling periodi(kT) and traffic busyness fi(kT) to the respective neighbor sub-regions of the ith sub-region.
Preferably, the adjusting, based on the workload and the workload distribution, a total power of pilot signal transmissions in a next sampling period of the ith sub-region in the kth sampling period specifically includes:
calculating the traffic busyness f of the ith sub-region in the kth sampling periodi(kT) and a weighted average Δ of differences in traffic busyness for the k-th sampling period for the respective neighbor sub-regions of the i-th sub-regioni(kT)；
Calculating the total power P of the pilot signal transmission of the ith sub-regioni(kT) adjustment amount ui(kT)；
According to the adjustment amount ui(kT) adjusting a total pilot signal transmit power of the ith sub-region in a (k + 1) th sampling period;
wherein T is the time length of the sampling period.
Preferably, the traffic busyness f of the ith sub-region in the kth sampling period is calculated by using the following formula (1)i(kT)；
Figure BDA0002894420570000031
Wherein, ai(. H) represents the utilization ratio of the physical resource block of the ith sub-region, and H represents the calculation of the utilization ratio a of the physical resource blockiTime period of (·).
Preferably, the weighted average value Δ is calculated using the following formula (2)i(kT)；
Figure BDA0002894420570000032
Wherein N isiA set of all neighbouring sub-areas representing the ith sub-area, fj(kT) represents the traffic busyness, ω, of the jth neighbor region of the ith sub-regionjiRepresents the correlation coefficient between the jth and ith sub-regions andji＞0。
preferably, the adjustment amount u is calculated in the PID controller using the following formula (4)i(kT)；
Figure BDA0002894420570000033
Wherein k ispIs a proportionality coefficient in the PID controller; k is a radical ofiIs an integral coefficient in the PID controller; k is a radical ofdIs a differential coefficient in the PID controller; δ > 1 is a positive integer representing the number of truncated cycles.
Preferably, the total power of pilot signal transmission of the ith sub-region in the (k + 1) th sampling period is adjusted to be Pi((k+1)T)；
Figure BDA0002894420570000034
Wherein the content of the first and second substances,
Figure BDA0002894420570000035
Pi maxthe rated power of the radio frequency transmitting unit is the ith sub-area; pi min(kT) is the minimum transmission power of the pilot channel required by the ith sub-region to meet the coverage in the kth sampling period.
Meanwhile, the invention also discloses a device for adjusting the total power of the pilot signal transmission of each sub-area in the area, which comprises the following steps:
the workload acquisition module is used for calculating the workload of the ith sub-area in the kth sampling period;
a workload distribution condition obtaining module, configured to obtain a workload distribution condition of each neighboring sub-region of the ith sub-region in the kth sampling period;
an adjusting module, configured to adjust, based on the workload and the workload distribution, a total pilot signal transmission power of the ith sub-region in a next sampling period of the kth sampling period;
where, i is 1, 2., M is the number of sub-regions in the region, and k is 1, 2., N is the number of sampling periods.
At least one embodiment provided in this specification can achieve the following advantageous effects:
in this description, each sub-region receives the distribution of the workload of its neighboring sub-region in each sampling period, and then adjusts the total power of pilot signal transmission in the next sampling period based on the workload of itself and the workload distribution of its neighboring sub-region, so that each sub-region in this description can dynamically adjust the total power of pilot signal transmission in each sampling period, and thus the traffic born by each sub-region is substantially balanced, and it can be ensured that the communication network meets the coverage condition while improving the communication quality of the user.
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In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort.
Fig. 1 is a schematic diagram of an application scenario of a method for adjusting pilot signal transmission power of each sub-area in an area according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of an overall scheme of a method for adjusting pilot signal transmission power of each sub-region in a region according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an apparatus for adjusting pilot signal transmit power of each sub-region in the region, according to an embodiment of the present disclosure.
Detailed Description
To make the objects, technical solutions and advantages of one or more embodiments of the present disclosure more apparent, the technical solutions of one or more embodiments of the present disclosure will be described in detail and completely with reference to the specific embodiments of the present disclosure and the accompanying drawings. It is to be understood that the embodiments described are only a few embodiments of the present specification, and not all embodiments. All other embodiments that can be derived by a person skilled in the art from the embodiments given herein without making any creative effort fall within the scope of protection of one or more embodiments of the present specification.
With the continuous development of mobile communication technology, the traffic of communication networks is greatly increased, the mobile communication is more and more closely linked with the life and work of people, and the requirements of users on the performance of the mobile communication networks are continuously improved. In the process of transmitting and receiving communication signals, the base station plays an important role, but because the traffic is unevenly distributed in different time periods and different areas, the traffic born by each cell is also uneven, so that the carrier frequency of a part of cells in a certain time period is easy to be tensed and blocked, and the carrier frequency of a part of cells in a certain time period is idle and wasted, so that the overall utilization rate of communication resources is low.
The embodiment of the invention provides a method for adjusting the total emission power of pilot signals of each sub-area in an area, which can adjust the emission power of pilot channels of each sub-area, thereby basically balancing the traffic born by each sub-area, improving the communication quality of a user and ensuring that a communication network meets the coverage condition.
To clearly describe the technical solution of this embodiment, an application scenario of the technical solution of this embodiment is described below, and fig. 1 is a schematic diagram of an application scenario of a method for adjusting pilot signal transmission power of each sub-region in a region provided in this embodiment. In a certain area S (e.g. a certain city), there are several sub-areas covered with mobile communication network, the set B is a set formed by these sub-areas covered with mobile communication network (communication signal can be 2g, 3g, 4g or 5g), the set B includes M sub-areas in total (in this scenario, it is assumed that M is equal to 11), and specifically includes B1、b2、b3、b4、b5、b6、b7、b8、b9、b10And b11As shown in fig. 1, each sub-area biAll have a set of neighbor sub-regions NiI.e. with this sub-region biSets of positionally adjacent subregions, in subregions b1For example toLine description, sub-region b1Of the neighbor sub-region N1Comprising a sub-region b2、b3、b4、b7、b10And sub-region b11. In the technical scheme of the embodiment, each sub-area biAll base stations are installed to transmit mobile signals for user terminals in sub-areas, but at different time intervals, the distribution of traffic in different sub-areas is unbalanced, and the traffic born by each sub-area is also unbalanced, so that the carrier frequency of part of sub-areas is tense and traffic is blocked at a certain time interval, while the carrier frequency of part of sub-areas is in an idle state at the time interval, which causes waste.
Embodiments of the present invention assume that the neighbor relation of two sub-regions is symmetric, i.e. if sub-region biIs a sub-region bjIs then sub-region bjAnd necessarily also sub-region biWhile assuming that the time of each sub-region is in a synchronous state, at the initial zero time, sub-region biTotal power of pilot signal transmission of Pi(0) I 1,2, M is the number of sub-regions within the region.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Fig. 1 is a flowchart illustrating a method for adjusting total pilot signal transmission power of each sub-region in a region according to an embodiment of the present disclosure. From the viewpoint of a program, the execution subject of the flow may be a program installed in an application server or an application client.
As shown in fig. 1, the process may include the following steps:
step 102: the workload of the ith sub-region in the kth sampling period is obtained, where k is 1, 2.
The sampling period is a time period for calculating the workload of the ith sub-region, and is used to represent that the workload of the ith sub-region is collected once every multiple times, and the time length of the sampling period can be flexibly set according to needs, for example, the sampling period can be set to be 1 minute, 2 minutes or 10 minutes, but is not suitable for being set too long. The workload is used to indicate how busy the ith sub-region is in the sampling period.
Step 104: and acquiring the workload distribution condition of each neighbor sub-area of the ith sub-area in the kth sampling period.
In the technical solution of this embodiment, when the kth sampling period is over, the ith sub-region needs to obtain the workload distribution of its neighbor sub-regions in the kth sampling period. One implementation that may be adopted is that, at the end of the kth sampling period, each neighboring sub-region of the ith sub-region sends a message packet to the ith sub-region, where the message packet includes a private field identifying a sub-region ID and a sub-region workload value. In particular, if the sub-areas are interconnected by a 4G network, this message packet may be sent over the X2 interface; if all the subregions are connected with each other through the 5G network, the message packet can be sent through an Xn interface; meanwhile, it is assumed that the time delay caused by the sending and receiving time of the message packet is far less than the time span of the sampling period, so that the time delay caused by the sending and receiving of the message packet can be ignored compared with the sampling period.
Step 106: and adjusting the total pilot signal emission power of the ith sub-region in the next sampling period of the kth sampling period based on the workload and the workload distribution.
After the ith sub-region receives the workload distribution situation of the neighbor sub-region in the kth sampling period, the pilot signal transmission total power of the ith sub-region in the next sampling period of the kth sampling period can be adjusted based on the workload distribution situation and the workload of the ith sub-region. Therefore, the total pilot signal emission power of the ith sub-region in the (k + 1) th sampling period is optimized, and the efficiency of the whole system is improved.
It should be noted that, in the technical solution of this embodiment, the ith sub-region is used as an implementation object, and the total pilot signal transmission power of the ith sub-region in the (k + 1) th sampling period is adjusted based on the workload distribution of the neighbor sub-region of the ith sub-region in the kth sampling period and the workload of the ith sub-region in the kth sampling period, so that the total pilot signal transmission power of the ith sub-region is optimized, and the efficiency of the whole system is also improved. The total pilot signal transmission power for more sub-regions within region S may be optimized as desired. That is, when each sampling period is finished, each sub-region sends the workload value of the sub-region in the sampling period to the neighboring sub-region, and simultaneously receives the workload values of all the neighboring sub-regions in the sampling period, and each sub-region optimizes the total pilot signal transmission power of the sub-region in the next sampling period based on the workload value of the sub-region in the sampling period and the workload distribution of the neighboring sub-region in the period, so that the efficiency of the whole system can be further improved.
Based on the method of fig. 1, the embodiments of the present specification also provide some specific implementations of the method, which are described below.
In the technical scheme of the embodiment, the traffic busyness f of the ith sub-area in the kth sampling period is calculatedi(kT) calculating a workload of the ith sub-region during a kth sampling period.
Optionally, the obtaining of the workload distribution of each neighboring sub-region of the ith sub-region in the kth sampling period specifically includes:
and when the kth sampling period is finished, receiving the traffic busyness information of each neighbor sub-region of the ith sub-region in the kth sampling period, and calculating the workload distribution condition according to the traffic busyness information.
Meanwhile, in the technical solution of this embodiment, after obtaining the workload distribution of each neighboring sub-region of the ith sub-region in the kth sampling period, the method further includes:
transmitting total power P of pilot signals of the ith sub-region in the kth sampling periodi(kT) and traffic busyness fi(kT) to the respective neighbor sub-regions of the ith sub-region.
Specifically, adjusting the total pilot signal transmission power of the ith sub-region in the next sampling period of the kth sampling period specifically includes:
calculating the traffic busyness f of the ith sub-region in the kth sampling periodi(kT) and a weighted average Δ of differences in traffic busyness for the k-th sampling period for the respective neighbor sub-regions of the i-th sub-regioni(kT)；
Calculating the total power P of the pilot signal transmission of the ith sub-regioni(kT) adjustment amount ui(kT)；
According to the adjustment amount ui(kT) adjusting a total pilot signal transmit power of the ith sub-region in a (k + 1) th sampling period;
wherein T is the time length of the sampling period.
Optionally, the following formula (1) is used to calculate the traffic busyness f of the ith sub-region in the kth sampling periodi(kT)；
Figure BDA0002894420570000091
Wherein, ai(. H) represents the utilization ratio of the physical resource block of the ith sub-region, and H represents the calculation of the utilization ratio a of the physical resource blockiTime period of (·).
Alternatively, the weighted average value Δ is calculated using the following formula (2)i(kT)；
Figure BDA0002894420570000092
Wherein N isiA set of all neighbouring sub-areas representing the ith sub-area, fj(kT) represents the traffic busyness, ω, of the jth neighbor region of the ith sub-regionjiRepresents the correlation coefficient between the jth and ith sub-regions andjigreater than 0, at the same time, this is trueIn the technical scheme of the embodiment, the neighborhood of the sub-regions is symmetrical, and omegaijIs used to represent the correlation coefficient between the ith and jth sub-regions and ωij> 0, and ωij＝ωji. Specifically, the correlation coefficient ωijAnd ωjiMay be based on sub-region biAnd bjThe distance between, the geographical features of, and the transmission angle of the base station antenna are calculated based on empirical formulas.
Alternatively, the adjustment amount u is calculated in the PID controller using the following formula (4)i(kT)；
Figure BDA0002894420570000093
Wherein k ispIs a proportionality coefficient in the PID controller; k is a radical ofiIs an integral coefficient in the PID controller; k is a radical ofdIs a differential coefficient in the PID controller; δ > 1 is a positive integer representing the maximum number of cycles that the sub-region stores and utilizes history information.
Optionally, the total power of pilot signal transmission in the (i) th sub-region in the (k + 1) th sampling period is adjusted to Pi((k+1)T)；
Figure BDA0002894420570000101
Wherein the content of the first and second substances,
Figure BDA0002894420570000102
Pi maxthe rated power of the radio frequency transmitting unit is the ith sub-area; pi min(kT) is the minimum transmission power of the pilot channel required by the ith sub-region to meet the coverage in the kth sampling period.
Based on the same idea, an embodiment of the present specification further provides a device corresponding to the method, and fig. 3 is a schematic structural diagram of the device for adjusting total power of pilot signal transmission of each sub-region in the region, provided by the embodiment of the present specification, and corresponding to fig. 1. As shown in fig. 3, the apparatus may include:
a workload obtaining module 301, configured to obtain a workload of the ith sub-region in the kth sampling period.
A workload distribution obtaining module 302, configured to obtain a workload distribution of each neighboring sub-region of the ith sub-region in the kth sampling period.
An adjusting module 303, configured to adjust, based on the workload and the workload distribution, a total pilot signal transmission power of the ith sub-region in a next sampling period of the kth sampling period.
Where, i is 1, 2., M is the number of sub-regions in the region, and k is 1, 2., N is the number of sampling periods.
In this description, each sub-region receives the distribution of the workload of its neighboring sub-region in each sampling period, and then adjusts the total power of pilot signal transmission in the next sampling period based on the workload of itself and the workload distribution of its neighboring sub-region, so that each sub-region in this description can dynamically adjust the total power of pilot signal transmission in each sampling period, and thus the traffic born by each sub-region is substantially balanced, and it can be ensured that the communication network meets the coverage condition while improving the communication quality of the user.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital character system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate a dedicated integrated circuit chip. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium which can be used to store information which can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (8)

1. A method for adjusting total power of pilot signal transmissions for each sub-region in a region, comprising:
acquiring the work load of the ith sub-area in the kth sampling period;
acquiring the workload distribution condition of each neighbor sub-region of the ith sub-region in the kth sampling period;
adjusting the pilot signal emission total power of the ith sub-region in the next sampling period of the kth sampling period based on the workload and the workload distribution condition;
wherein, i is 1, 2., M is the number of sub-regions in the region, k is 1, 2., N is the number of sampling periods;
the adjusting, based on the workload and the workload distribution, total power of pilot signal transmission in a next sampling period of the ith sub-region in the kth sampling period specifically includes:
calculating the ith sub-region in the ithTraffic busyness f in k sampling periodsi(kT) and a weighted average Δ of differences in traffic busyness for the k-th sampling period for the respective neighbor sub-regions of the i-th sub-regioni(kT)；
Calculating the total power P of the pilot signal transmission of the ith sub-regioni(kT) adjustment amount ui(kT)；
According to the adjustment amount ui(kT) adjusting a total pilot signal transmit power of the ith sub-region in a (k + 1) th sampling period;
wherein T is the time length of the sampling period;
adjusting the total pilot signal transmission power of the ith sub-region in the (k + 1) th sampling period to Pi((k+1)T)；
Figure FDA0003240888340000011
Wherein the content of the first and second substances,
Figure FDA0003240888340000012
Pi maxthe rated power of the radio frequency transmitting unit is the ith sub-area; pi min(kT) is the minimum transmission power of the pilot channel required by the ith sub-region to meet the coverage in the kth sampling period.
2. The method of claim 1, wherein the traffic busyness f in the kth sampling period is calculated by calculating the ith sub-regioni(kT) calculating a workload of the ith sub-region during a kth sampling period.
3. The method according to claim 1, wherein the obtaining of the workload distribution of each neighbor sub-region of the ith sub-region in the kth sampling period specifically comprises:
and when the kth sampling period is finished, receiving the traffic busyness information of each neighbor sub-region of the ith sub-region in the kth sampling period, and calculating the workload distribution condition according to the traffic busyness information.
4. The method according to claim 1, wherein after obtaining the workload distribution of each neighboring sub-region of the ith sub-region in the kth sampling period, the method further comprises:
transmitting total power P of pilot signals of the ith sub-region in the kth sampling periodi(kT) and traffic busyness fi(kT) to the respective neighbor sub-regions of the ith sub-region.
5. The method of claim 2, wherein the traffic busyness f of the ith sub-region in the kth sampling period is calculated by using the following formula (1)i(kT)；
Figure FDA0003240888340000021
Wherein, ai(. H) represents the utilization ratio of the physical resource block of the ith sub-region, and H represents the calculation of the utilization ratio a of the physical resource blockiTime period of (·).
6. The method according to claim 1, wherein the weighted average value Δ is calculated using the following formula (2)i(kT)；
Figure FDA0003240888340000022
Wherein N isiA set of all neighbouring sub-areas representing the ith sub-area, fj(kT) represents the traffic busyness, ω, of the jth neighbor region of the ith sub-regionjiRepresenting the phase between the jth and ith sub-regionsCoefficient of correlation andji＞0。
7. method according to claim 1, characterized in that the adjustment u is calculated in a PID controller using the following formula (4)i(kT)；
Figure FDA0003240888340000031
Wherein k ispIs a proportionality coefficient in the PID controller; k is a radical ofiIs an integral coefficient in the PID controller; k is a radical ofdIs a differential coefficient in the PID controller; δ > 1 is a positive integer representing the maximum number of cycles that the sub-region stores and utilizes history information.
8. An apparatus for adjusting total power of pilot signal transmissions for each sub-region in a region, comprising:
the workload acquisition module is used for acquiring the workload of the ith sub-region in the kth sampling period;
a workload distribution condition obtaining module, configured to obtain a workload distribution condition of each neighboring sub-region of the ith sub-region in the kth sampling period;
an adjusting module, configured to adjust, based on the workload and the workload distribution, a total pilot signal transmission power of the ith sub-region in a next sampling period of the kth sampling period;
wherein, i is 1, 2., M is the number of sub-regions in the region, k is 1, 2., N is the number of sampling periods;
wherein the adjusting of the total pilot signal transmission power of the ith sub-region in the next sampling period of the kth sampling period based on the workload and the workload distribution specifically includes:
calculating the traffic busyness f of the ith sub-region in the kth sampling periodi(kT) with the respective ones of the i-th sub-regionsWeighted average value delta of difference values of traffic busyness of neighbor sub-regions in kth sampling periodi(kT)；
Calculating the total power P of the pilot signal transmission of the ith sub-regioni(kT) adjustment amount ui(kT)；
According to the adjustment amount ui(kT) adjusting a total pilot signal transmit power of the ith sub-region in a (k + 1) th sampling period;
wherein T is the time length of the sampling period;
adjusting the total pilot signal transmission power of the ith sub-region in the (k + 1) th sampling period to Pi((k+1)T)；
Figure FDA0003240888340000041
Wherein the content of the first and second substances,
Figure FDA0003240888340000042
Pi maxthe rated power of the radio frequency transmitting unit is the ith sub-area; pi min(kT) is the minimum transmission power of the pilot channel required by the ith sub-region to meet the coverage in the kth sampling period.
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