CN111757352A - Multipoint cooperation-based power network coverage optimization method and device - Google Patents

Multipoint cooperation-based power network coverage optimization method and device Download PDF

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CN111757352A
CN111757352A CN202010508010.1A CN202010508010A CN111757352A CN 111757352 A CN111757352 A CN 111757352A CN 202010508010 A CN202010508010 A CN 202010508010A CN 111757352 A CN111757352 A CN 111757352A
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肖飞
孙德栋
陈毅龙
欧清海
姚贤炯
张宁池
丰雷
游兆阳
刘卉
陈志杰
马文洁
赵一琨
杜加懂
杨储华
王晨
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State Grid Corp of China SGCC
State Grid Information and Telecommunication Co Ltd
Beijing University of Posts and Telecommunications
China Academy of Information and Communications Technology CAICT
State Grid Shanghai Electric Power Co Ltd
State Grid Shaanxi Electric Power Co Ltd
Beijing Zhongdian Feihua Communication Co Ltd
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State Grid Corp of China SGCC
State Grid Information and Telecommunication Co Ltd
Beijing University of Posts and Telecommunications
China Academy of Information and Communications Technology CAICT
State Grid Shanghai Electric Power Co Ltd
State Grid Shaanxi Electric Power Co Ltd
Beijing Zhongdian Feihua Communication Co Ltd
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Abstract

One or more embodiments of the present disclosure provide a method and an apparatus for optimizing power network coverage based on multi-point cooperation, which are applied to a power communication network that uses millimeter-wave bands for data transmission, and include: determining a plurality of base stations which carry out multi-point cooperative communication with a mobile station, and determining transmission parameters and directional gains of the mobile station and each base station according to an established communication model; determining the network coverage probability of the mobile station according to the useful power, the interference power, the obtained noise value and the obtained receiving threshold value of the mobile station; establishing a relation curve between the network coverage probability and a threshold value by combining the network coverage probability; and determining an optimization node of the mobile station through the relation curve, determining an optimization threshold value of the receiver according to the optimization node, and deploying the multi-point cooperation of the mobile station according to the optimization threshold value to realize optimization. According to the invention, the millimeter wave is adopted for cooperative communication according to the actual networking characteristics, so that the coverage performance of the communication network can be obviously improved.

Description

Multipoint cooperation-based power network coverage optimization method and device
Technical Field
One or more embodiments of the present disclosure relate to the field of communications technologies, and in particular, to a method, an apparatus, a device, and a medium for optimizing power network coverage based on multipoint coordination.
Background
The smart grid is a modern power transmission system based on an integrated high-speed bidirectional communication network, and can effectively improve power supply reliability and power quality. The power wireless network is a product of applying the technology of the internet of things to the smart grid, and the utilization efficiency of the existing power infrastructure and communication facility resources can be effectively improved. With the upgrading and transformation of distribution automation, various new intelligent power utilization terminals are continuously increased, the demand of a power wireless network on communication is increased day by day, and the development of services is greatly restricted by the communication capacity of the power wireless network. To provide users with a more efficient and high quality power service experience, improvements in the communication of power systems are necessary. The communication technology includes two categories, namely wired and wireless, and for the internet of things, the cost of connecting everything through a wired network is too high and the applicability is poor, so that wireless communication is a common method and an important method for power wireless network communication. The sensors arranged in the power grid can acquire various parameters of the cable during operation, wireless communication signals are acquired after signal conversion, and information transmission is realized by means of wireless network receiving equipment.
With the increasing number of users or services, wireless cellular networks face a serious shortage of spectrum resources. For this reason, 5G introduces a millimeter wave frequency band with abundant spectrum resources, and the millimeter wave technology becomes a key technology of 5G communication. Compared with the traditional frequency band cellular communication technology, the millimeter wave communication has the characteristics of extremely short wavelength, extremely large bandwidth, narrow beam, strong directivity and the like, and is very sensitive to obstacles. The 5G cellular network adopting the millimeter wave technology uses an antenna array on a transmitter and a receiver to carry out beam forming on millimeter wave signals, utilizes a narrow beam form to carry out signal transmission, has the propagation characteristics obviously different from the traditional microwave frequency band, and has the problems of beam alignment, inter-beam interference and the like. On the other hand, the density of heterogeneous cells in the 5G network is much higher than that of macro base stations in the conventional cellular network, the distribution of base stations presents a randomized characteristic, the coverage area is irregular, and the distribution of interference of different base stations to users is irregular. These new characteristics and problems make the conventional regular mesh model unsuitable for performance analysis of 5G millimeter wave cellular networks, and even impossible to directly apply the results of conventional networks to millimeter wave networks, and therefore, it is necessary to perform modeling analysis on millimeter wave cells again. Random geometry is a useful tool for analyzing the performance of wireless networks and can provide a lower bound on the performance of cellular systems.
In a new generation of power network, how to improve the coverage probability between a device accessed by a user and a base station and reduce the interruption probability thereof is an urgent problem to be solved in the industry, and no method or device for better solving the problem exists at present.
Disclosure of Invention
In view of this, one or more embodiments of the present disclosure provide a method, an apparatus, a device, and a medium for optimizing power network coverage based on multipoint cooperation, so as to solve the problems of low coverage probability and easy interruption of intelligent power devices in a current new generation power network.
In view of the above, one or more embodiments of the present specification provide a method for optimizing power network coverage based on multi-point cooperation, which is applied to a power communication network that uses millimeter wave bands for data transmission, and the method includes:
determining a plurality of base stations which carry out multi-point cooperative communication with a mobile station, and determining transmission parameters and directional gains of the mobile station and each base station according to an established communication model;
determining useful power and interference power of a mobile station receiving signal by combining the directional gain and the transmission parameter, and determining the network coverage probability of the mobile station according to the useful power, the interference power, the obtained noise value and the obtained receiving threshold value of the mobile station;
establishing a relation curve between the network coverage probability and a threshold value by combining the network coverage probability;
and determining an optimization node of the mobile station through the relation curve, determining an optimization threshold value of the receiver according to the optimization node, and deploying the multi-point cooperation of the mobile station according to the optimization threshold value to realize optimization.
In another possible implementation manner of the embodiment of the present invention, in combination with the above description, before determining a plurality of base stations performing coordinated multipoint communication with a mobile station, the method further includes:
modeling the millimeter wave power communication network by adopting a random geometric method based on the Poisson point distribution strength of each base station in the power communication network;
the determining of the transmission parameters and the directional gains of the mobile station and each base station according to the established communication model comprises the following steps:
and determining transmission parameters of the millimeter wave power communication network according to the communication model, wherein the transmission parameters comprise path loss, small-scale fading index which obeys exponential distribution and directional gain of a base station which generates interference on the mobile station.
In another possible implementation manner of the embodiment of the present invention, in combination with the above description, the determining, by combining the directional gain and the transmission parameter, the useful power and the interference power of the signal received by the mobile station includes:
determination of the useful power P of a signal received by a mobile station by means of equation (1)s：
Figure BDA0002527243000000031
Wherein n is the number of base stations performing multi-point cooperation with the mobile station, k is the kth base station, hkFor the kth base station to obey the exponentially distributed small-scale fading index in the communication model, α represents the path loss index of the channel, Rk -αFor the path loss between the mobile station and the kth base station, MrFor the main lobe gain of the mobile station antenna, MtIs the main lobe gain of the base station antenna;
determining the interference power of the mobile station received signal by formula (2):
Figure BDA0002527243000000032
wherein D iskThe directional gain of the kth base station that causes interference to the mobile station.
With reference to the foregoing description, in another possible implementation manner of the embodiment of the present invention, the determining a network coverage probability of the mobile station according to the useful power, the interference power, the obtained noise value, and the obtained receiving threshold of the mobile station includes:
acquiring a receiving threshold value T of the mobile station;
the useful power to interference plus noise ratio of the signal received by the mobile station is defined as the network coverage probability of the mobile station, and then the network coverage probability is expressed by formula (3):
Figure BDA0002527243000000033
where N is white Gaussian noise received by the mobile station, SINR is the interference plus noise ratio, and T isReceiving a threshold value, PsAnd PIThe useful power and the interference power of the signal are received for the mobile station, respectively.
In another possible implementation manner of the embodiment of the present invention, in combination with the above description, the method further includes:
judging whether the obtained noise value and the useful power of the received signal are in the same order of magnitude;
when the obtained noise value is not in the same order of magnitude as the useful power of the received signal, determining the network coverage probability of the mobile station according to the useful power, the interference power, the obtained noise value and the obtained receiving threshold value of the mobile station includes:
the network coverage probability is expressed by equation (4):
Figure BDA0002527243000000041
wherein,
Figure BDA0002527243000000042
is the signal to interference ratio.
In a second aspect, an exemplary embodiment of the present invention further relates to a device for optimizing coverage of a power network based on multi-point cooperation, which is applied to a power communication network that uses millimeter-wave bands for data transmission, and the device includes:
the parameter determining module is used for determining a plurality of base stations which perform multi-point cooperative communication with the mobile station, and determining transmission parameters and directional gains of the mobile station and each base station according to the established communication model;
a probability determination module, configured to determine, by combining the directional gain and the transmission parameter, a useful power and an interference power of a signal received by a mobile station, and determine a network coverage probability of the mobile station according to the useful power, the interference power, an obtained noise value, and an obtained receiving threshold of the mobile station;
the curve determining module is used for establishing a relation curve between the network coverage probability and a threshold value by combining the network coverage probability;
and the optimization module is used for determining an optimization node of the mobile station through the relation curve, determining an optimization threshold value of the receiver according to the optimization node, and deploying the multi-point cooperation of the mobile station according to the optimization threshold value to realize optimization.
The above apparatus, further comprising:
the model establishing module is used for establishing a model for the millimeter wave power communication network by adopting a random geometric method based on the Poisson point distribution strength of each base station in the power communication network;
the determining of the transmission parameters and the directional gains of the mobile station and each base station according to the established communication model comprises the following steps:
and determining transmission parameters of the millimeter wave power communication network according to the communication model, wherein the transmission parameters comprise path loss, small-scale fading index which obeys exponential distribution and directional gain of a base station which generates interference on the mobile station.
In the above apparatus, the probability determination module includes a power determination sub-module, and the power determination sub-module is configured to:
determination of the useful power P of a signal received by a mobile station by means of equation (1)s：
Figure BDA0002527243000000051
Wherein n is the number of base stations performing multi-point cooperation with the mobile station, k is the kth base station, hkFor the kth base station to obey the exponentially distributed small-scale fading index in the communication model, α represents the path loss index of the channel, Rk -αFor the path loss between the mobile station and the kth base station, MrFor the main lobe gain of the mobile station antenna, MtIs the main lobe gain of the base station antenna;
determining the interference power of the mobile station received signal by formula (2):
Figure BDA0002527243000000052
wherein D iskThe directional gain of the kth base station that causes interference to the mobile station.
In a third aspect, exemplary embodiments of the present invention also relate to an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements a coordinated multipoint-based power network coverage optimization method when executing the program.
In a fourth aspect, exemplary embodiments of the present invention are also directed to a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the coordinated multipoint based power network coverage optimization method.
As can be seen from the above, the method for optimizing coverage of a power network based on multipoint cooperation provided in one or more embodiments of the present specification combines actual scene characteristics of a power wireless communication network, and performs cooperative communication by using millimeter waves according to actual networking characteristics, so as to improve coverage performance of the communication network, and achieve good network optimization for both dense deployment of fixed orientation base stations and dense deployment of antenna-adjustable orientation base stations in actual networking, and greatly improve performance of the power network.
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In order to more clearly illustrate one or more embodiments or prior art solutions of the present specification, the drawings that are needed in the description of the embodiments or prior art will be briefly described below, and it is obvious that the drawings in the following description are only one or more embodiments of the present specification, and that other drawings may be obtained by those skilled in the art without inventive effort from these drawings.
FIG. 1 is a schematic flow chart of a method for optimizing power network coverage based on multi-point cooperation according to one or more embodiments of the present disclosure;
fig. 2 is a schematic diagram illustrating a relationship between coverage probability and SINR threshold in a fixed base station-oriented dense deployment scenario according to one or more embodiments of the present disclosure;
fig. 3 is a schematic diagram illustrating a relationship between coverage probability and SINR threshold in a scenario where antennas are densely deployed to a base station in one or more embodiments of the present disclosure;
FIG. 4 is a graph illustrating a base station density versus coverage probability for one or more embodiments of the present disclosure;
FIG. 5 is a schematic structural diagram of a power network coverage optimization device based on multi-point cooperation according to one or more embodiments of the present disclosure;
fig. 6 is a schematic structural diagram of an electronic device according to one or more embodiments of the present disclosure.
Detailed Description
For the purpose of promoting a better understanding of the objects, aspects and advantages of the present disclosure, reference is made to the following detailed description taken in conjunction with the accompanying drawings.
It is to be noted that unless otherwise defined, technical or scientific terms used in one or more embodiments of the present specification should have the ordinary meaning as understood by those of ordinary skill in the art to which this disclosure belongs. The use of "first," "second," and similar terms in one or more embodiments of the specification is not intended to indicate any order, quantity, or importance, but rather is used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
The problem of interference among millimeter wave beams is an important reason influencing the performance of a millimeter wave communication system, and the interference among base stations can be reduced and the communication quality can be improved by realizing the cooperative communication of a plurality of base stations through a multipoint cooperation technology. The coordinated multi-point technology allows two or more base stations to establish a connection with one user (mobile station) at the same time, i.e. in a cellular network, for a specific cell user, the received useful signal power is the superposition of the signal powers from the n base stations nearest to the specific cell user, and the received signal powers of other base stations are all regarded as interference power. In different scenes, the external influences on the signals and the reception of the signals by the user are different. The embodiment of the invention analyzes two scenes of fixed orientation base station intensive deployment and antenna direction-adjustable base station intensive deployment, reduces the consumption of network resources as much as possible on the premise of improving the communication quality to a certain degree, and provides a basis for planning and optimizing a 5G millimeter wave cellular network.
The method of the exemplary embodiment of the present invention is applied to a power communication network using a millimeter wave band for data transmission, the electric power communication network comprises a base station and user equipment (mobile stations, such as various intelligent electric meters, acquisition devices and other intelligent terminal equipment, which comprise receiving antennas with main lobes and side lobes) within a cell range, the base station and the mobile stations comprise antenna transmitters, receivers and the like, in the traditional electric power communication network, a base station detects users by adopting a fixed beam omni-directional coverage mode, the power communication network using millimeter waves adopts omnidirectional coverage, which results in large path loss and greatly reduced control coverage, and during data transmission, although the location of the base station and the mobile station are known, the data transmission range and the control range may be mismatched, and the transmission performance is maximized when the main lobe of the base station is aligned with the main lobe of the mobile station.
In the implementation scenario of the exemplary embodiment of the present invention, in a formed power communication network, regarding noise in the power communication network, the noise is mainly additive white gaussian noise, and the noise power density is in the order of-100 dB, i.e. 10-10W, if the power communication network is 50MHz, the corresponding additive white gaussian noise power is-127 dB, when the power communication network of the exemplary embodiment of the present invention uses millimeter waves for communication, the base stations are more densely deployed, that is, the number of base stations in a unit area is more than that of a common communication network, so the communication results in a communication problemThe interference is also very much, and the power density of the additive white gaussian noise is greatly increased, for example, 10-5The magnitude of W is negligibly different from the magnitude of the noise power. The denser the base stations in the network, the more interference dominated by SINR, the less noise affected.
Determining a deployment mode of the base station, and determining the fixed orientation of the base station according to the coverage rate and the threshold value when the deployment mode is the fixed orientation;
and when the deployment mode is that the antenna can be deployed to the base station, determining the direction of the antenna according to the determined maximum coverage rate and the threshold value thereof.
The invention relates to a method, a device, equipment and a medium for optimizing power network coverage based on multipoint cooperation, which are mainly applied to scenes that communication among power network communication equipment is more and more complicated, and the basic idea is as follows: the method has the advantages that the actual scene characteristics and the actual networking characteristics of the power wireless communication network are combined, the millimeter waves are adopted for cooperative communication, the coverage performance of the communication network is improved, the power communication network is optimized according to the millimeter wave related transmission parameters, good network optimization can be achieved for both the fixed orientation base station intensive deployment and the antenna direction adjustable base station intensive deployment in the actual networking, and the performance of the power network is greatly improved.
As shown in fig. 1, a basic flowchart of a power network coverage optimization method based on multipoint coordination according to an exemplary embodiment of the present invention is shown, where the method specifically includes the following steps:
in step 110, a plurality of base stations performing coordinated multi-point communication with the mobile station are determined, and transmission parameters and directional gains of the mobile station and each base station are determined according to the established communication model;
in an exemplary embodiment of the present invention, the Coordinated Multiple Points Transmission/Reception (CoMP) refers to Coordinated Multiple Points Transmission/Reception (CoMP), which is a plurality of Transmission Points separated in a geographic location and is cooperatively involved in data Transmission for a terminal or jointly receive data transmitted by a terminal.
In an implementation manner of the exemplary embodiment of the present invention, the number of base stations performing coordinated multi-point communication with one mobile station may be n, R is a distance of a transmission link between the mobile station and the base station, and a distance between each base station and the mobile station may be divided into R according to a distance degree1～Rn。
The determining of the transmission parameters and the directional gains of the mobile station and each base station according to the established communication model comprises the following steps:
establishing a communication model of a mobile station and a base station in a cell range, for example, based on the distribution intensity of the poisson points of the base stations in the power communication network, modeling the millimeter wave power communication network by adopting a random geometric method, and leading the distribution of the base stations in the modeled network model to obey the poisson point process phi with the intensity of lambdai. In the transmission process of signals, channel gains h exist in a transmission link between a mobile station and a base station, h is a random variable subject to exponential distribution, hkIn the implementation scenario of the exemplary embodiment of the present invention, the channels between the mobile station and different base stations are independent, h is also independently distributed, for the corresponding small-scale fading index of which the kth base station obeys exponential distribution, and the transmission link includes transmission parameters including path loss related to the distance between the base station and the mobile station, where the path loss index is represented by α, the path loss can be represented by R-αWherein R is the distance of a link between a user and a base station; the base station and the mobile station are both provided with antenna arrays to form directional beams, and the actual array mode of the directional beams is approximately formed through a partitioned antenna model, so that the influence of directional gain is also generated in the signal transmission process.
In the signal transmission process, the directional gains are different when, for example, the base station main lobe is aligned with the mobile station main lobe, the base station main lobe is aligned with the mobile station side lobe, the base station side lobe is aligned with the mobile station main lobe, and the base station side lobe is aligned with the mobile station side lobe, and specifically, the probabilities thereof can be represented by the following table 1:
TABLE 1DkProbability mass function of
k 1 2 3 4
Dk MrMt Mrmt mrMt mrmt
p(Dk) crct cr(1-ct) (1-cr)ct (1-cr)(1-ct)
Wherein, in the exemplary embodiment of the present invention, the mobile station can dynamically adjust the angle during the communication process to achieve the alignment of the mobile station main lobe and the base station main lobe, D0Represents the maximum available directional gain when the main lobes of the base station and the mobile station are aligned with the main lobe, and the directional gain of the transmission link between the mobile station and the base station for the base station connected with the mobile station is D0＝MrMt，MrFor the main lobe gain of the mobile station antenna, MtIs the main lobe gain of the base station antenna.
In conjunction with Table 1, for an interfering link, the angle due to signal arrival and departure is (0,2 π)]Independently and uniformly distributed, the directional gain is a random variable, and is p (D)k) Has a probability value of DkThe relation between the specific value and the probability is shown in Table 1, wherein
Figure BDA0002527243000000091
θrIs the main lobe beam width, theta, of the mobile station antennatIs the main lobe beam width, m, of the base station antennarFor side lobe gain of mobile station antenna, mtIs the side lobe gain of the base station antenna.
Determining transmission parameters of the millimeter wave power communication network, wherein the transmission parameters at least comprise path loss, small-scale fading index obeying exponential distribution and directional gain of a base station generating interference on a mobile station.
In step 120, determining useful power and interference power of a mobile station receiving signal by combining the directional gain and the transmission parameter, and determining a network coverage probability of the mobile station according to the useful power, the interference power, the obtained noise value and the obtained receiving threshold value of the mobile station;
determination of the useful power P of a signal received by a mobile station by means of equation (1)s：
Figure BDA0002527243000000092
Wherein n is the number of base stations performing multi-point cooperation with the mobile station, k is the kth base station, hkFor the kth base station to obey the exponentially distributed small-scale fading index in the communication model, α represents the path loss index of the channel, Rk -αFor the path loss between the mobile station and the kth base station, MrFor the main lobe gain of the mobile station antenna, MtIs the main lobe gain of the base station antenna;
determining the interference power of the mobile station received signal by formula (2):
Figure BDA0002527243000000093
wherein D iskThe directional gain of the kth base station that causes interference to the mobile station.
The obtained noise value is white Gaussian noise in the transmission process of the communication network, mainly additive white Gaussian noise, and the noise power density is in the order of-100 dB, namely 10-10W (e.g., -127dB noise power when the network is 50 MHz).
The receiving threshold of the mobile station is a SINR (Signal to Interference plus Noise Ratio) threshold, and a higher SINR threshold indicates a higher requirement for communication. The SINR threshold is a parameter of the receiver, for example, the SINR of the network is 30dB, if the receiver threshold of the mobile station is 20dB, the communication may be established, if the receiver threshold of the mobile station is 40dB, the receiver of the mobile station does not meet the communication requirement, the communication cannot be established, and at this time, a situation of communication interruption may occur.
In step 130, a relation curve between the network coverage probability and a threshold value is established by combining the network coverage probability;
the network coverage probability is a function related to the receiving threshold value T, a relationship curve between the network coverage probability and the threshold value can be obtained according to the function, and the relationship curve is shown in fig. 2.
In step 140, an optimization node of the mobile station is determined according to the relationship curve, an optimization threshold of the receiver is determined according to the optimization node, and the multi-point cooperation of the mobile station is deployed according to the optimization threshold to achieve optimization.
In combination with the graph, a tangent slope determination method can be used to determine a point where a steep drop occurs in a relation curve, the point is the optimized node, an optimized threshold value of a corresponding receiver can be determined according to the function, the mobile station is deployed in a multi-point cooperation mode according to the optimized threshold value to achieve optimization, the threshold value of the steep drop node is used as the threshold of the receiver to actually deploy the power communication network, and as the threshold value is higher than the optimized node, the coverage probability curve of the mobile station drops quickly, so that the network performance is affected; and if the threshold value is lower than the optimized node, the requirement on the receiver is increased, the network coverage performance is not increased greatly, and the lower the SINR threshold value is, the more sensitive the receiver is, so that the requirement on the receiver is increased under the condition of not increasing the network coverage performance, which may cause extra cost, and the overall network coverage performance cannot be increased, thereby realizing the performance optimization of the power communication network.
In the exemplary embodiment of the present invention, modeling may be performed in advance according to the actual situation of the power communication network, and the millimeter wave power communication network may be modeled by using a random geometric method based on the poisson point distribution strength of each base station in the power communication network; the determining of the transmission parameters and the directional gains of the mobile station and each base station according to the established communication model comprises the following steps: and determining transmission parameters of the millimeter wave power communication network according to the communication model, wherein the transmission parameters comprise path loss, small-scale fading index which obeys exponential distribution and directional gain of a base station which generates interference on the mobile station, modeling can simulate the power communication network, and the power communication network is adjusted according to the simulation condition.
In an implementation scenario of the exemplary embodiment of the present invention, the determining a network coverage probability of the mobile station according to the useful power, the interference power, the obtained noise value, and the obtained receiving threshold of the mobile station includes:
acquiring a receiving threshold value T of the mobile station;
the useful power to interference plus noise ratio of the signal received by the mobile station is defined as the network coverage probability of the mobile station, and then the network coverage probability is expressed by formula (3):
Figure BDA0002527243000000111
wherein N is white Gaussian noise received by the mobile station, SINR is interference plus noise ratio, T is receiving threshold value, and P issAnd PIThe useful power and the interference power of the signal are received for the mobile station, respectively.
Further, the method further comprises:
judging whether the obtained noise value and the useful power of the received signal are in the same order of magnitude, for example, when the noise value and the useful power are both 10-10W is of the same order of magnitude and when the useful power is 10-5W is different in magnitude;
when the obtained noise value is not in the same order of magnitude as the useful power of the received signal, determining the network coverage probability of the mobile station according to the useful power, the interference power, the obtained noise value and the obtained receiving threshold value of the mobile station includes:
the network coverage probability is expressed by equation (4):
Figure BDA0002527243000000112
wherein,
Figure BDA0002527243000000113
and (3) the signal-to-interference ratio is obtained, when the obtained noise value is smaller than a plurality of values of useful power, the noise value is ignored at the moment, and the relation curve function of the coverage probability is directly obtained through the signal-to-interference ratio and a threshold value T.
In the mm wave communication network, the base stations are often densely deployed, that is, the number of base stations in a unit area is large, and thus the interference caused by the base stations is also large (for example, up to 10)-5W), is orders of magnitude far from the noise power and is therefore negligible. The denser the base stations in the network, the more interference dominated by SINR, the less noise affected.
With reference to fig. 2, 3, and 4, when a power communication network is simulated, simulation analysis is performed on an actual situation through the established communication module, in the actual deployment of the power communication network, there are two situations of dense deployment of a fixed orientation base station and dense deployment of an antenna-adjustable orientation base station, and a situation of transition of the fixed orientation antenna-adjustable orientation base station, and coverage probabilities in the communication network are analyzed in different networking modes: in a fixed-orientation base station dense deployment scenario, the base station antennas are in a fixed orientation, and the mobile station receiver communicates with the nearest n base stations in the base stations facing the mobile station; in the antenna direction-adjustable base station intensive deployment scene, the orientation of the base station antenna can be flexibly adjusted, and a mobile station receiver communicates with n base stations closest to a mobile station.
The parameters to be set during simulation may include Area of Interest (AOI), main lobe gain, side lobe gain, half-power beam width, and path loss factor α, and in a possible specific implementation manner of the exemplary embodiment of the present invention, the simulation parameters may be set as follows:
Figure BDA0002527243000000121
fig. 2 is a schematic diagram illustrating a relationship between coverage probability and SINR threshold in a fixed-orientation base station dense deployment scenario in an exemplary embodiment of the present invention, where n represents the number of cooperative base stations. In the plot of coverage probability versus signal to interference and noise ratio threshold, it can be seen that as the threshold increases, the coverage probability of the mobile station decreases. When the threshold is very low, the coverage probability of a single base station scene is less than 0.9, and the coverage probability of multi-base station cooperation is close to 1. The coverage probability can be improved by increasing the number of the cooperative base stations, but with the increase of the threshold value, the difference between the coverage probabilities of different numbers of the cooperative base stations is reduced and finally tends to be equal.
With reference to fig. 3, a schematic diagram of a relationship between coverage probability and SINR threshold in an antenna-adjustable base station dense deployment scenario is shown, where the coverage probability is reduced with an increase of the threshold, and when the threshold is very low, the coverage probability is close to 1, similar to a fixed base station dense deployment scenario. The coverage probability can be improved by increasing the number of the cooperative base stations, but with the increase of the threshold value, the difference between the coverage probabilities of different numbers of the cooperative base stations is reduced and finally tends to be equal.
By comparing two scenes, one can obtain: under the same threshold, the coverage probability of the scene of intensive deployment of the antenna to the base station is higher; with the increase of the threshold, the coverage probability of the two conditions is reduced, but the coverage probability of the antenna adjustable to the base station intensive deployment scene is kept stable and wider; with the increase of the threshold value, the coverage probability of the antenna adjustable to the base station intensive deployment scene is decreased at a higher rate, and when the threshold value is larger than a certain range, the coverage probabilities of the two cases tend to be equal.
Taking an antenna direction-adjustable base station densely deployed double-base-station cooperation scene as an example, a schematic diagram of relationship between the density of the base stations and the coverage probability is observed by combining simulation shown in fig. 4, where k is the number of the base stations in the network. From the relationship diagram and the corresponding relationship function, we can obtain: as the density of base stations increases, the probability of coverage decreases slightly. According to the simulations, the coverage performance of the whole communication network is improved to a certain extent by the cooperation of the base stations, and compared with the use of a fixed orientation base station, the coverage probability can be obviously improved by using the base station with the adjustable antenna direction. When a ground wireless propagation model is actually constructed, the coverage probability of a communication network should be increased as much as possible, but the number of cooperative base stations needs to be controlled, and after the number of the cooperative base stations is increased to a certain degree, the coverage probability increasing effect caused by the increase of the cooperative base stations is not obvious.
Fig. 5 is a schematic structural diagram of a power network coverage optimization device based on multipoint coordination according to an embodiment of the present invention, where the device may be implemented by software and/or hardware, is generally integrated in an intelligent terminal, and may be implemented by a power network coverage optimization method based on multipoint coordination. As shown in the figure, the present embodiment may provide a power network coverage optimization device based on the above embodiments, which mainly includes a parameter determining module 510, a probability determining module 520, a curve determining module 530, and an optimizing module 540.
The parameter determining module is used for determining a plurality of base stations which carry out multipoint cooperative communication with the mobile station, and determining transmission parameters and directional gains of the mobile station and each base station according to the established communication model;
the probability determination module is used for determining the useful power and the interference power of a mobile station receiving signal by combining the directional gain and the transmission parameter, and determining the network coverage probability of the mobile station according to the useful power, the interference power, the obtained noise value and the obtained receiving threshold value of the mobile station;
the curve determining module is used for establishing a relation curve between the network coverage probability and a threshold value by combining the network coverage probability;
the optimization module is configured to determine an optimization node of the mobile station through the relationship curve, determine an optimization threshold of the receiver according to the optimization node, and deploy the multi-point cooperation of the mobile station according to the optimization threshold to achieve optimization.
In one implementation of the exemplary embodiments of this invention, the apparatus further comprises:
the model establishing module is used for establishing a model for the millimeter wave power communication network by adopting a random geometric method based on the Poisson point distribution strength of each base station in the power communication network; the parameter determination module is further configured to: and determining transmission parameters of the millimeter wave power communication network according to the communication model, wherein the transmission parameters comprise path loss, small-scale fading index which obeys exponential distribution and directional gain of a base station which generates interference on the mobile station.
In one implementation of the exemplary embodiments of this invention, the probability determination module includes a power determination sub-module configured to:
determination of the useful power P of a signal received by a mobile station by means of equation (1)s：
Figure BDA0002527243000000141
Wherein n is the number of base stations performing multi-point cooperation with the mobile station, k is the kth base station, hkObeying small scale of exponential distribution in communication model for kth base stationFading index, α denotes the path loss index, R, of the channelk -αFor the path loss between the mobile station and the kth base station, MrFor the main lobe gain of the mobile station antenna, MtIs the main lobe gain of the base station antenna;
determining the interference power of the mobile station received signal by formula (2):
Figure BDA0002527243000000142
wherein D iskThe directional gain of the kth base station that causes interference to the mobile station.
In an implementation manner of the exemplary embodiment of the present invention, the probability determining module is further configured to:
acquiring a receiving threshold value T of the mobile station;
the useful power to interference plus noise ratio of the signal received by the mobile station is defined as the network coverage probability of the mobile station, and then the network coverage probability is expressed by formula (3):
Figure BDA0002527243000000143
wherein N is white Gaussian noise received by the mobile station, SINR is interference plus noise ratio, T is receiving threshold value, and P issAnd PIThe useful power and the interference power of the signal are received for the mobile station, respectively.
In one implementation of the exemplary embodiments of this invention, the apparatus further comprises:
the judging module is used for judging whether the acquired noise value and the useful power of the received signal are in the same order of magnitude;
a calculation simplification module, configured to determine a network coverage probability of the mobile station according to the useful power, the interference power, the acquired noise value, and the acquired receiving threshold of the mobile station when the acquired noise value and the useful power of the received signal are not in the same order of magnitude, where the calculation simplification module includes:
the network coverage probability is expressed by equation (4):
Figure BDA0002527243000000151
wherein,
Figure BDA0002527243000000152
is the signal to interference ratio.
The apparatus provided in the foregoing embodiments may perform the method for optimizing coverage of a power network based on multipoint cooperation provided in any embodiment of the present invention, and have corresponding functional modules and advantageous effects for performing the method.
It should be noted that the method of one or more embodiments of the present disclosure may be performed by a single device, such as a computer or server. The method of the embodiment can also be applied to a distributed scene and completed by the mutual cooperation of a plurality of devices. In such a distributed scenario, one of the devices may perform only one or more steps of the method of one or more embodiments of the present disclosure, and the devices may interact with each other to complete the method.
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.
Fig. 6 is a schematic diagram illustrating a more specific hardware structure of an electronic device according to this embodiment, where the electronic device may include: a processor 1010, a memory 1020, an input/output interface 1030, a communication interface 1040, and a bus 1050. Wherein the processor 1010, memory 1020, input/output interface 1030, and communication interface 1040 are communicatively coupled to each other within the device via bus 1050.
The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solutions provided in the embodiments of the present disclosure.
The Memory 1020 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random access Memory), a static storage device, a dynamic storage device, or the like. The memory 1020 may store an operating system and other application programs, and when the technical solution provided by the embodiments of the present disclosure is implemented by software or firmware, the relevant program codes are stored in the memory 1020 and called by the processor 1010 to execute the method of the embodiments of the present disclosure.
The input/output interface 1030 is used for connecting an input/output module to input and output information. The i/o module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.
The communication interface 1040 is used for connecting a communication module (not shown in the drawings) to implement communication interaction between the present apparatus and other apparatuses. The communication module can realize communication in a wired mode (such as USB, network cable and the like) and also can realize communication in a wireless mode (such as mobile network, WIFI, Bluetooth and the like).
Bus 1050 includes a path that transfers information between various components of the device, such as processor 1010, memory 1020, input/output interface 1030, and communication interface 1040.
It should be noted that although the above-mentioned device only shows the processor 1010, the memory 1020, the input/output interface 1030, the communication interface 1040 and the bus 1050, in a specific implementation, the device may also include other components necessary for normal operation. In addition, those skilled in the art will appreciate that the above-described apparatus may also include only those components necessary to implement the embodiments of the present description, and not necessarily all of the components shown in the figures.
Computer-readable media of the present embodiments, 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, programs, modules of the programs themselves, 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 Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device to perform the above-described aspects of embodiments of the present invention.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the spirit of the present disclosure, features from the above embodiments or from different embodiments may also be combined, steps may be implemented in any order, and there are many other variations of different aspects of one or more embodiments of the present description as described above, which are not provided in detail for the sake of brevity.
In addition, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown in the provided figures, for simplicity of illustration and discussion, and so as not to obscure one or more embodiments of the disclosure. Furthermore, devices may be shown in block diagram form in order to avoid obscuring the understanding of one or more embodiments of the present description, and this also takes into account the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the one or more embodiments of the present description are to be implemented (i.e., specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the disclosure, it should be apparent to one skilled in the art that one or more embodiments of the disclosure can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative instead of restrictive.
While the present disclosure has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic ram (dram)) may use the discussed embodiments.
It is intended that the one or more embodiments of the present specification embrace all such alternatives, modifications and variations as fall within the broad scope of the appended claims. Therefore, any omissions, modifications, substitutions, improvements, and the like that may be made without departing from the spirit and principles of one or more embodiments of the present disclosure are intended to be included within the scope of the present disclosure.

Claims (10)

1. A multipoint cooperation-based power network coverage optimization method is applied to a power communication network which adopts millimeter wave bands for data transmission, and is characterized by comprising the following steps:
determining a plurality of base stations which carry out multi-point cooperative communication with a mobile station, and determining transmission parameters and directional gains of the mobile station and each base station according to an established communication model;
determining useful power and interference power of a mobile station receiving signal by combining the directional gain and the transmission parameter, and determining the network coverage probability of the mobile station according to the useful power, the interference power, the obtained noise value and the obtained receiving threshold value of the mobile station;
establishing a relation curve between the network coverage probability and a threshold value by combining the network coverage probability;
and determining an optimization node of the mobile station through the relation curve, determining an optimization threshold value of the receiver according to the optimization node, and deploying the multi-point cooperation of the mobile station according to the optimization threshold value to realize optimization.
2. The method of claim 1, wherein before determining the plurality of base stations for cooperative multipoint communication with the mobile station, the method further comprises:
modeling the millimeter wave power communication network by adopting a random geometric method based on the Poisson point distribution strength of each base station in the power communication network;
the determining of the transmission parameters and the directional gains of the mobile station and each base station according to the established communication model comprises the following steps:
and determining transmission parameters of the millimeter wave power communication network according to the communication model, wherein the transmission parameters comprise path loss, small-scale fading index which obeys exponential distribution and directional gain of a base station which generates interference on the mobile station.
3. The method of claim 2, wherein said combining the directional gain and the transmission parameter to determine the desired power and the interference power of the signal received by the mobile station comprises:
determination of the useful power P of a signal received by a mobile station by means of equation (1)s：
Figure FDA0002527242990000011
Wherein n is the number of base stations performing multi-point cooperation with the mobile station, k is the kth base station, hkFor the kth base station to obey the exponentially distributed small-scale fading index in the communication model, α represents the path loss index of the channel, Rk -αTo movePath loss between station and kth base station, MrFor the main lobe gain of the mobile station antenna, MtIs the main lobe gain of the base station antenna;
determining the interference power of the mobile station received signal by formula (2):
Figure FDA0002527242990000021
wherein D iskThe directional gain of the kth base station that causes interference to the mobile station.
4. The method of claim 3, wherein the determining the network coverage probability of the mobile station according to the useful power, the interference power, the obtained noise figure and the obtained receiving threshold of the mobile station comprises:
acquiring a receiving threshold value T of the mobile station;
the useful power to interference plus noise ratio of the signal received by the mobile station is defined as the network coverage probability of the mobile station, and then the network coverage probability is expressed by formula (3):
Figure FDA0002527242990000022
wherein N is white Gaussian noise received by the mobile station, SINR is interference plus noise ratio, T is receiving threshold value, and P issAnd PlThe useful power and the interference power of the signal are received for the mobile station, respectively.
5. The method of claim 4, further comprising:
judging whether the obtained noise value and the useful power of the received signal are in the same order of magnitude;
when the obtained noise value is not in the same order of magnitude as the useful power of the received signal, determining the network coverage probability of the mobile station according to the useful power, the interference power, the obtained noise value and the obtained receiving threshold value of the mobile station includes:
the network coverage probability is expressed by equation (4):
Figure FDA0002527242990000023
wherein,
Figure FDA0002527242990000024
is the signal to interference ratio.
6. A multipoint coordination-based power network coverage optimization device applied to a power communication network for data transmission in millimeter wave band is characterized by comprising:
the parameter determining module is used for determining a plurality of base stations which perform multi-point cooperative communication with the mobile station, and determining transmission parameters and directional gains of the mobile station and each base station according to the established communication model;
a probability determination module, configured to determine, by combining the directional gain and the transmission parameter, a useful power and an interference power of a signal received by a mobile station, and determine a network coverage probability of the mobile station according to the useful power, the interference power, an obtained noise value, and an obtained receiving threshold of the mobile station;
the curve determining module is used for establishing a relation curve between the network coverage probability and a threshold value by combining the network coverage probability;
and the optimization module is used for determining an optimization node of the mobile station through the relation curve, determining an optimization threshold value of the receiver according to the optimization node, and deploying the multi-point cooperation of the mobile station according to the optimization threshold value to realize optimization.
7. The apparatus of claim 6, further comprising:
the model establishing module is used for establishing a model for the millimeter wave power communication network by adopting a random geometric method based on the Poisson point distribution strength of each base station in the power communication network;
the parameter determination module is further configured to: and determining transmission parameters of the millimeter wave power communication network according to the communication model, wherein the transmission parameters comprise path loss, small-scale fading index which obeys exponential distribution and directional gain of a base station which generates interference on the mobile station.
8. The apparatus of claim 7, wherein the probability determination module comprises a power determination sub-module configured to:
determination of the useful power P of a signal received by a mobile station by means of equation (1)s：
Figure FDA0002527242990000031
Wherein n is the number of base stations performing multi-point cooperation with the mobile station, k is the kth base station, hkFor the kth base station to obey the exponentially distributed small-scale fading index in the communication model, α represents the path loss index of the channel, Rk -αFor the path loss between the mobile station and the kth base station, MrFor the main lobe gain of the mobile station antenna, MtIs the main lobe gain of the base station antenna;
determining the interference power of the mobile station received signal by formula (2):
Figure FDA0002527242990000032
wherein D iskThe directional gain of the kth base station that causes interference to the mobile station.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method for multipoint cooperation based power network coverage optimization as claimed in any one of claims 1 to 5 when executing the program.
10. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the coordinated multipoint based power network coverage optimization method of any one of claims 1 to 5.
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