CN111556575A - Novel power grid resource distribution system and communication method - Google Patents

Novel power grid resource distribution system and communication method Download PDF

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Publication number
CN111556575A
CN111556575A CN202010345250.4A CN202010345250A CN111556575A CN 111556575 A CN111556575 A CN 111556575A CN 202010345250 A CN202010345250 A CN 202010345250A CN 111556575 A CN111556575 A CN 111556575A
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base station
power grid
power
channel
cell
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CN111556575B (en
Inventor
吴赛
马宝娟
王智慧
丁慧霞
汪洋
郑伟军
邵炜平
陈鼎
方景辉
吴国庆
唐锦江
姚舜禹
王莹
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State Grid Corp of China SGCC
State Grid Zhejiang Electric Power Co Ltd
China Electric Power Research Institute Co Ltd CEPRI
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State Grid Corp of China SGCC
State Grid Zhejiang Electric Power Co Ltd
China Electric Power Research Institute Co Ltd CEPRI
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/0446—Resources in time domain, e.g. slots or frames
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/0453—Resources in frequency domain, e.g. a carrier in FDMA
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/0473—Wireless resource allocation based on the type of the allocated resource the resource being transmission power
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/53—Allocation or scheduling criteria for wireless resources based on regulatory allocation policies

Abstract

The novel power grid resource allocation system comprises at least one macro base station and a plurality of cell base stations which are respectively connected with the macro base station, the system operates in a time slot mode, in each time slot, the macro base station divides frequency spectrum resources allocated by the macro base station into a plurality of sub-channels with the same bandwidth, and the sub-channels are shared by macro base station users and cell base station users. According to the novel power grid resource distribution system and the communication method based on the novel power grid resource distribution system, a short packet mechanism system in 5G and a heterogeneous cellular network are introduced into a smart power grid on the basis of a traditional power grid, the problem of congestion of a wireless access network caused by a large amount of power grid equipment is solved, the reliability of the power grid system is greatly improved, meanwhile, on the premise that reliable real-time communication is guaranteed, power distribution and channel distribution are combined, and the throughput of the system is maximized.

Description

Novel power grid resource distribution system and communication method
Technical Field
The invention belongs to the technical field of power communication network resource allocation, and particularly relates to a novel power grid resource allocation system and a base communication method.
Background
With the development of the new generation of 5G communication technology and intelligent control equipment, the smart grid plays more and more important roles in power transmission, power resource allocation, monitoring and the like, so that the energy management scheme is more efficient, reliable and economical, and becomes the core of the new generation of power grid gradually. The intelligent power grid communication system consists of three parts of networks: wide area networks, neighborhood networks, and home area networks. The neighborhood network is the core of the smart grid communication network, communication is carried out in a distribution layer, the neighborhood network comprises a smart meter which collects data to various smart appliances, and then the smart meter sends the data to a control center so as to control different application programs, such as: energy distribution, power distribution automation, shutdown management, and the like. Therefore, the neighborhood network is the most core part for transmitting a large amount of smart grid data, and determines the efficiency of the whole smart grid.
The wide variety of power grid devices makes it necessary for neighborhood networks to transmit large amounts of delay-sensitive smart grid data simultaneously, which may cause radio access network congestion, heterogeneous cellular networks are considered key technologies to reduce radio access network congestion because heterogeneous cellular networks can relieve radio access network congestion by offloading access attempts from macro cells to cells where low-power and low-cost small cell base stations are deployed to increase data rates for users of cell base stations. Meanwhile, due to the rapid increase of the number and types of devices in the smart grid, different devices have different requirements on the Qos, and for some key smart grid services, the reliability and real-time performance of data transmission are important factors for ensuring the efficient, safe and reliable operation of the power grid. The control center can make accurate and effective decisions only if reliable real-time communication is provided.
Disclosure of Invention
One of the objectives of the present application is to provide a novel power grid resource allocation system and a communication method, so as to greatly improve the reliability of a power grid system, in view of the shortcomings in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme:
a novel power grid resource allocation system comprises a macro base station and S cell base stations which are respectively connected with the macro base station, wherein the cell base stations and the macro base station support data transmission of a plurality of power grid devices;
the macro base station is positioned in the center of the cell and completely covers the whole cell;
the system operates in a time slot mode, in each time slot, the macro base station distributes a plurality of identical sub-bandwidth channels for macro base station power grid equipment, and the sub-channels are shared by the cell base station power grid equipment;
maximum uplink reachable rate R of macro base station power grid equipment m on subchannel nm，nThe expression of (a) is:
Figure BDA0002469940340000021
wherein, γm，nRepresenting the signal-to-interference-and-noise ratio, V, of the macro base station power grid equipment m on the sub-channel nk＝1，n0Is the length of a given data packet or data packets,
Figure BDA0002469940340000022
is that
Figure BDA0002469940340000023
The inverse of the function(s) is,
Figure BDA0002469940340000024
is the uplink transmission error rate;
maximum uplink reachable rate R of cell base station power grid equipment k on subchannel nk，nThe expression of (a) is:
Figure BDA0002469940340000025
wherein, γk，nAnd representing the signal-to-interference-and-noise ratio of the power grid equipment k of the cell base station on the subchannel n.
Preferably, the signal to interference plus noise ratio γ of the macro base station power grid equipment m on the sub-channel nm，nThe calculation formula of (2) is as follows:
Figure BDA0002469940340000026
wherein p ism,nRepresenting the transmission power of macro base station power grid equipment m on a sub-channel n, gm,nRepresenting the channel gain, p, of the macro base station grid equipment m on the subchannel nk,nRepresenting the transmission power of the cell site grid device k on the subchannel n, gk,nExpressing the channel gain, σ -table, of the cell site grid device k on subchannel nThe variance of the noise is shown.
Preferably, the signal-to-interference-and-noise ratio γ of the cell base station power grid equipment k on the subchannel nk，nThe calculation formula of (2) is as follows:
Figure BDA0002469940340000031
wherein p isk,nRepresenting the transmission power of the cell site grid device k on the subchannel n, gks,nRepresenting the channel gain, p, of the cell site grid system k and the cell site s on the subchannel nm,nRepresenting the transmission power of macro base station power grid equipment m on a sub-channel n, gms,nAnd expressing the channel gain of the macro base station power grid equipment m and the cell base station s on the sub-channel n, and expressing the noise variance.
Preferably, the channel gain g of the cell site grid device k and the cell site s on the subchannel nks,nThe calculation formula of (2) is as follows:
gks,n＝ωksζks(dks)-α，
where α denotes the path loss exponent, ω denotes the path loss constant,ksrepresenting fast fading gains, ζ, following an exponential distribution of cell grid equipment k to cell base station sksSlow fading gain, d, following a lognormal distribution, representing the cell grid equipment k to the cell base station sksRepresenting the transmission distance of the cell grid device k to the cell base station s.
A communication method based on a novel power grid resource distribution system comprises the following steps:
when the resource allocation of the electric power wireless communication service is carried out, firstly, a channel allocation matrix W is fixed, power allocation is carried out, and a power optimal solution is calculated; after the power distribution is finished, carrying out channel distribution by using the obtained optimal solution of the power distribution so as to obtain an optimal channel distribution matrix W; the system performs resource allocation of the power wireless communication service by using the optimal channel allocation matrix W.
Preferably, the method specifically comprises the following steps:
initializing system parameters;
fixing a channel distribution matrix W, and calculating a power optimal solution;
initialization Pk,n,
Figure BDA0002469940340000032
Let variable l be 0;
to f (P)m,n)＝f(Pk,n,Pm,n) Solving a Taylor first-order expansion;
order to
Figure BDA0002469940340000033
The variable l is increased by 1;
judgment of
Figure BDA0002469940340000034
If yes, entering the next step; if not, solving f (P)m,n)＝f(Pk,n,Pm,n) Taylor first order expansion;
order to
Figure BDA0002469940340000041
Initialization
Figure BDA0002469940340000042
Let variable t be 0;
to f (P)k,n)＝f(Pk,n,Pm,n) Solving a Taylor first-order expansion;
order to
Figure BDA0002469940340000043
The variable t is increased by 1;
judgment of
Figure BDA0002469940340000044
If yes, entering the next step; if not, initializing
Figure BDA0002469940340000045
Let variable t be 0;
order to
Figure BDA0002469940340000046
Output of
Figure BDA0002469940340000047
Optimal solution is distributed with the obtained power:
Figure BDA0002469940340000048
carrying out channel allocation so as to obtain an optimal channel allocation matrix W;
and performing resource allocation of the power wireless communication service by using the optimal channel allocation matrix W.
Preferably, the convex optimization toolkit cvx is used for solving f (P)m,n)＝f(Pk,n,Pm,n) Taylor first order expansion.
Preferably, the elements in the channel allocation matrix W are randomly selected, and then the W matrix is fixed during power allocation, and channel allocation is performed after power allocation is finished.
Compared with the prior art, the invention has the following beneficial effects:
according to the novel power grid resource distribution system and the communication method based on the novel power grid resource distribution system, a short packet mechanism system in 5G and a heterogeneous cellular network are introduced into a smart power grid on the basis of a traditional power grid, the problem of congestion of a wireless access network caused by a large amount of power grid equipment is solved, the reliability of the power grid system is greatly improved, meanwhile, on the premise that reliable real-time communication is guaranteed, power distribution and channel distribution are combined, and the throughput of the system is maximized.
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In order to more clearly illustrate the embodiments of the present invention 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, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a novel power grid resource distribution system provided by the present invention;
fig. 2 is a schematic diagram of a communication method of a novel power grid resource allocation system provided by the invention;
FIG. 3 is a graph comparing system throughput for different transmission error rates and MUE numbers;
FIG. 4 is a graph comparing system throughput for different transmission error rates and SUE numbers;
fig. 5 is a graph comparing average system throughput of a communication method based on a novel power grid resource allocation system according to the present invention under different macro base station user numbers;
fig. 6 is a graph comparing average system throughput of a communication method based on a novel power grid resource allocation system in different numbers of cell base station users according to the present invention.
Detailed Description
The embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.
The embodiments of the present disclosure are described below with specific examples, and other advantages and effects of the present disclosure will be readily apparent to those skilled in the art from the disclosure in the specification. It is to be understood that the described embodiments are merely illustrative of some, and not restrictive, of the embodiments of the disclosure. The disclosure may be embodied or carried out in various other specific embodiments, and various modifications and changes may be made in the details within the description without departing from the spirit of the disclosure. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
It is noted that various aspects of the embodiments are described below within the scope of the appended claims. It should be apparent that the aspects described herein may be embodied in a wide variety of forms and that any specific structure and/or function described herein is merely illustrative. Based on the disclosure, one skilled in the art should appreciate that one aspect described herein may be implemented independently of any other aspects and that two or more of these aspects may be combined in various ways. For example, an apparatus may be implemented and/or a method practiced using any number of the aspects set forth herein. Additionally, such an apparatus may be implemented and/or such a method may be practiced using other structure and/or functionality in addition to one or more of the aspects set forth herein.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present disclosure, and the drawings only show the components related to the present disclosure rather than the number, shape and size of the components in actual implementation, and the type, amount and ratio of the components in actual implementation may be changed arbitrarily, and the layout of the components may be more complicated.
In addition, in the following description, specific details are provided to facilitate a thorough understanding of the examples. However, it will be understood by those skilled in the art that the aspects may be practiced without these specific details.
The embodiment of the disclosure provides a novel power grid resource distribution system. The novel power grid resource allocation system provided by the embodiment may be executed by a computing system, and the computing system may be implemented as software, or implemented as a combination of software and hardware, and the computing system may be integrally provided in a server, a terminal device, and the like.
As shown in fig. 1, in the embodiment of the present application, the present application provides a novel power grid resource allocation system, so as to greatly improve reliability of a power grid system, where the system includes at least one macro base station and S cell base stations respectively connected to the macro base station, the system operates in a time slot manner, and in each time slot, the macro base station divides spectrum resources allocated by itself into a plurality of subchannels with the same bandwidth, and the subchannels are shared by M macro base station users and K cell base station users.
The macro base station allocates subchannels with the same bandwidth for M macro base station users, and the subchannels are shared by K cell base station users
Figure BDA0002469940340000061
And
Figure BDA0002469940340000062
respectively, a set of MUEs (macro base station users), a set of SUEs (cell base station users), a set of cell base stations, and a set of subchannels.
In the embodiment of the present application, the signal to interference plus noise ratio γ of macro base station user m on the sub-channel nm，nThe calculation formula of (2) is as follows:
Figure BDA0002469940340000063
wherein p ism,nRepresents the transmission power of macro base station user m on subchannel n, gm,nRepresenting the channel gain, p, of macro base station user m on subchannel nk,nRepresenting the transmission power, g, of cell base station user k on subchannel nk,nDenotes the channel gain of cell base station user k on subchannel n, and σ denotes the noise variance.
In the embodiment of the present application, the signal to interference plus noise ratio γ of the cell base station user k on the subchannel nk，nThe calculation formula of (2) is as follows:
Figure BDA0002469940340000071
wherein p isk,nRepresenting the transmission power, g, of cell base station user k on subchannel nks,nDenotes the channel gain, p, of cell site user k and cell site s on subchannel nm,nRepresents the transmission power of macro base station user m on subchannel n, gms,nDenotes the channel gain of the macro base station user m and the cell base station s on the subchannel n, and σ denotes the noise variance.
In the embodiment of the present application, the channel gain g of cell site user k and cell site s on subchannel nks,nThe calculation formula of (2) is as follows:
gks,n＝ωksζks(dks)-α
where α denotes the path loss exponent, ω denotes the path loss constant,ksrepresenting the fast fading gain, ζ, of cell users k to cell base station s following an exponential distributionksSlow fading gain, d, following a lognormal distribution, representing cell users k to cell base station sksRepresenting the transmission distance of cell user k to cell base station s.
In order to increase the reliability of a power grid system, a 5G short packet mechanism is introduced, and the change is that the traditional Shannon formula cannot be used, but the following R is usedm，nCalculating a transmission rate;
in this embodiment of the present application, the maximum uplink reachable rate R of the macro base station user m on the subchannel nm，nThe calculation formula of (2) is as follows:
Figure BDA0002469940340000072
wherein, γm，nRepresenting the signal-to-interference-and-noise ratio, V, of the macro base station user m on the subchannel nk＝1，n0Is the length of a given data packet or data packets,
Figure BDA0002469940340000073
is that
Figure BDA0002469940340000074
The inverse of the function(s) is,
Figure BDA0002469940340000075
is the uplink transmission error rate.
In this embodiment, the maximum uplink reachable rate R of the cell base station user k on the subchannel nk，nThe calculation formula of (2) is as follows:
Figure BDA0002469940340000081
wherein, γk，nRepresenting the signal-to-interference and noise of the cell base station user k on the subchannel nRatio, Vk＝1，n0Is the length of a given data packet or data packets,
Figure BDA0002469940340000082
is that
Figure BDA0002469940340000083
The inverse of the function(s) is,
Figure BDA0002469940340000084
is the uplink transmission error rate.
The 5G short packet mechanism refers to the adoption of a short frame structure and a short message in a URLLC scene. The intelligent power grid is introduced into the intelligent power grid, so that the reliability of the power grid equipment can be obviously improved, and the power grid equipment can provide better service for the intelligent power grid.
The invention provides the aim of the distribution system, namely, the throughput of the system is maximized, the combination of the power grid service type and the 5G network is fully considered, and the optimization problem is formulated as follows:
Figure BDA0002469940340000085
Figure BDA0002469940340000086
Figure BDA0002469940340000087
Figure BDA0002469940340000088
Figure BDA0002469940340000089
Figure BDA00024699403400000810
Figure BDA00024699403400000811
Figure BDA00024699403400000812
Figure BDA00024699403400000813
Figure BDA00024699403400000814
Figure BDA00024699403400000815
wherein C is1,C2Representing the transmission power limits of the SUEs and MUEs, respectively, C3,C4Representing the minimum transmission rate requirements of the SUEs and MUEs, respectively, C5～C10Each SUE is guaranteed to use at most one sub-channel, and each sub-channel can only be occupied by at most one SUE. The same is true for MUEs.
The invention adds K virtual MUEs and M virtual SUEs into the system, namely, the set of the MUEs and the SUEs is expanded into
Figure BDA0002469940340000091
And
Figure BDA0002469940340000092
wherein
Figure BDA0002469940340000093
M +1,.., M + K and M + K in the set
Figure BDA0002469940340000094
K + 1.. K + M in the set refers to K virtual MUEs and M virtual SUEs, respectively. Note that the channel gain between the virtual user and any device is zero, so the virtual user has no effect on the actual user.
To reduce problemsComplexity, the invention defines a channel allocation matrix W representing MUEs and SUEs when channels are allocated
Figure BDA0002469940340000095
And
Figure BDA0002469940340000096
when w m,k,n1, otherwise wm,k,nNote that set 0
Figure BDA0002469940340000097
And
Figure BDA0002469940340000098
are inclusive of the virtual user. Comparison ak,n、bm,nAnd wm,k,nThe relationship between, yields: w is am,k,n＝ak,nbm,n。
Then define:
SRm,k,n＝Rk,n+Rm.n(16)
wherein SRm,k,nIs that
Figure BDA0002469940340000099
And
Figure BDA00024699403400000910
in a sub-channel
Figure BDA00024699403400000911
The sum of the transmission rates over. When MUEs are real users (1. ltoreq. m.ltoreq.M) or virtual users (1. ltoreq. k.ltoreq.K), their transmission rates are different, which is the same for SUEs, SRm,k,nCan be expressed as:
Figure BDA00024699403400000912
considering comparison ak,n、bm,nAnd wm,k,nThe relation between the question P1 and the equations (16) and (17) can be converted into
Figure BDA00024699403400000913
Figure BDA00024699403400000914
Figure BDA00024699403400000915
Figure BDA0002469940340000101
C4:wm,k,n∈{0,1}(22)
C5:(6),(7),(8),(9)(23)
The above problem contains both continuous variables and binary variables, so P2 is a mixed integer nonlinear programming problem, and in order to reduce the complexity of the problem, the present invention decomposes the problem into two sub-problems: power allocation problems and channel allocation problems.
(1) Power distribution
To solve the power allocation problem of throughput, the invention lets each SR distributem,k,nIs only dependent on Pk,n,Pm,nThen the power allocation problem can be formulated as:
Figure BDA0002469940340000102
s.t.(6),(7),(8),(9) (25)
considering SR in (17)m,k,nBy the expression of (c), we divide the problem P3 into four cases:
case 1: when M is more than or equal to M +1 and less than or equal to M + K and K is more than or equal to K +1 and less than or equal to K + M, SRm,k,nIs constantly equal to 0.
Case 2: when M is more than or equal to 1 and less than or equal to M and K +1 and less than or equal to K and M, the problem is converted into that:
Figure BDA0002469940340000103
s.t.0≤Pm,n≤Pm,nmax(27)
γm,n≥γmin(28)
it is clear that the objective function in the problem P4 is with respect to the variable Pm,nIs monotonically increasing function of, thus, when pm,n＝pm,nmaxThe objective function then takes the maximum value.
Case 3: when K is more than or equal to 1 and less than or equal to K and M +1 and less than or equal to M + K, the problem is converted into that:
Figure BDA0002469940340000104
s.t.0≤Pk,n≤Pk,nmax(30)
γk,n≥γmin(31)
this case is similar to case 2, and the same reasoning can be used when p isk,n＝pk,nmaxThe objective function then takes the maximum value.
Case 4: when M is more than or equal to 1 and less than or equal to M and K is more than or equal to 1 and less than or equal to K, the problem is converted into that:
Figure BDA0002469940340000111
s.t.0≤Pk,n≤Pk,nmax(33)
0≤Pm,n≤Pm,nmax(34)
γk,n≥γmin(35)
γm,n≥γmin(36)
it is noted that the value of the objective function of the problem P5 depends on the transmission power Pk,nAnd Pm,nAnd is therefore a non-convex optimization problem. In order to solve the problem, the invention provides an iterative algorithm based on first-order Taylor expansion linear approximation, and the detailed content of the algorithm is shown in an algorithm 1, wherein f (P)k,n,Pm,n) Is the objective function of the problem P6.
Algorithm 1 is as follows:
Figure BDA0002469940340000112
(2) channel allocation
In the process of power allocation, each SRm,k,nHave been optimized. Then considering the channel allocation problem, this problem can be formulated as:
Figure BDA0002469940340000121
Figure BDA0002469940340000122
Figure BDA0002469940340000123
Figure BDA0002469940340000124
wm,k,n∈{0,1}(41)
wherein
Figure BDA0002469940340000125
Is a value that has been optimized during power allocation,
Figure BDA0002469940340000126
note that this problem contains only binary variables and is a non-convex optimization problem, which is then transformed into a tractable convex optimization problem. First, an integer program is constrained wm,k,n∈ {0,1} relaxation to a continuous convex constraint of 0 ≦ wm,k,nLess than or equal to 1. Thus, the optimization problem P7 may be rewritten as:
Figure BDA0002469940340000127
Figure BDA0002469940340000128
Figure BDA0002469940340000129
Figure BDA00024699403400001210
0≤wm,k,n≤1 (46)
obviously, the problem P8 is a convex linear programming problem that can be solved using the CVX toolkit, and therefore the optimal values obtained by the power allocation step
Figure BDA0002469940340000131
An optimal solution of the channel allocation matrix W can be found.
Referring to fig. 2, in an embodiment of the present application, the present invention further provides a communication method based on a novel power grid resource allocation system, where the novel power grid resource allocation system includes the novel power grid resource allocation system shown in fig. 1, and the method includes the steps of:
s1: initialization parameters (cell range, number of users, etc.);
s2: fixed channel allocation, considering only power allocation; (fixed channel allocation means that elements in a channel allocation matrix W are randomly selected, and then the W matrix is fixed and unchanged when power allocation is carried out, but the constraints of formulas (19), (20), (21) and (22) are met; and channel allocation is carried out after the power allocation is finished.)
S3: calculating a power variable that maximizes the objective function (P3) under a first condition;
s4: calculating a power variable that maximizes the objective function (P3) under a second condition;
s5: calculating a power variable that maximizes the objective function (P3) under a third condition;
s6: initialization
Figure BDA0002469940340000132
Let variable l be 0;
s7: to f (P)m,n)＝f(Pk,n,Pm,n) Solving the first-order expansion of the Taylor, and solving by using a convex optimization toolkit cvx;
s8: order to
Figure BDA0002469940340000133
The variable l is increased by 1;
s9: judgment of
Figure BDA0002469940340000134
If yes, entering the next step; if not, solving f (P) by using a convex optimization tool package cvxm,n)＝f(Pk,n,Pm,n) Taylor first order expansion;
s10: order to
Figure BDA0002469940340000135
S11: initialization
Figure BDA0002469940340000136
Let variable t be 0;
s12: to f (P)k,n)＝f(Pk,n,Pm,n) Solving the first-order expansion of the Taylor, and solving by using a convex optimization toolkit cvx;
s13: order to
Figure BDA0002469940340000137
The variable t is increased by 1;
s14: judgment of
Figure BDA0002469940340000138
If yes, entering the next step; if not, initializing
Figure BDA0002469940340000139
Let variable t be 0;
s15: order to
Figure BDA00024699403400001310
S16: output of
Figure BDA0002469940340000141
S17, carrying out channel allocation by using the obtained optimal solution of power allocation, thereby obtaining an optimal channel allocation matrix W;
wherein p ism,nRepresenting the transmission power, p, of macro base station users m on a subchannel nk,nAnd the transmission power of users K of the cell base station on the subchannel n is represented, the first condition is that M is more than or equal to M +1 and less than or equal to M + K, K +1 is more than or equal to K + M, the second condition is that M is more than or equal to 1 and less than or equal to M, K +1 is more than or equal to K and less than or equal to K + M, the third condition is that K is more than or equal to 1 and less than or equal to K, M is more than or equal to M + K and less than or equal to M +1, M is the total number of users.
As can be seen from fig. 3 and 4, the reliability of the grid device is significantly improved, so that the grid device provides better service for the smart grid. Secondly, the algorithm provided by the invention has obvious superiority, the throughput of the system is greatly improved, and the algorithm provided by the invention is superior to the algorithm based on power allocation and channel random allocation under different MUEs and different SUEs.
As shown in fig. 5 and 6, comparing the communication method (deployed Algorithm) based on the novel power grid resource allocation system Proposed in the present application with the Algorithm (RA) based on power allocation and channel random allocation, multiple simulations of random distribution are performed at the same time, and the average value of the simulations is taken, which shows that the present application has a better effect.
The present application is described in detail below with specific examples.
Examples
The method is applied to a cellular heterogeneous network scene, the macro base station is positioned in the center of the cell, and the intelligent power grid equipment is randomly distributed in the cell with the radius of 400 meters. The simulation parameters are set as follows: 5-20 macro base station users and 5-10 small base station users, wherein the number of the sub-channels is 20, and the minimum signal-to-noise ratio requirement of the small base station users is 20 dB. Further, the bandwidth of each sub-channel is 180 kHz. Experimental results show that under the condition of different numbers of macro base station users and different numbers of small base station users, the method provided by the invention is superior to a method for randomly distributing channels based on power distribution, and meanwhile, the reliability of a power grid system is also improved.
According to the novel power grid resource distribution system and the communication method based on the novel power grid resource distribution system, a short packet mechanism system in 5G and a heterogeneous cellular network are introduced into a smart power grid on the basis of a traditional power grid, the problem of congestion of a wireless access network caused by a large amount of power grid equipment is solved, the reliability of the power grid system is greatly improved, meanwhile, on the premise that reliable real-time communication is guaranteed, power distribution and channel distribution are combined, and the throughput of the system is maximized.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of a unit does not in some cases constitute a limitation of the unit itself, for example, the first retrieving unit may also be described as a "unit for retrieving at least two internet protocol addresses".
It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof.
The above description is only for the specific embodiments of the present disclosure, but the scope of the present disclosure is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present disclosure should be covered within the scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.

Claims (8)

1. A novel power grid resource allocation system is characterized by comprising a macro base station and S cell base stations which are respectively connected with the macro base station, wherein the cell base stations and the macro base station support data transmission of a plurality of power grid devices;
the macro base station is positioned in the center of the cell and completely covers the whole cell;
the system operates in a time slot mode, in each time slot, the macro base station distributes a plurality of identical sub-bandwidth channels for macro base station power grid equipment, and the sub-channels are shared by the cell base station power grid equipment;
macro base station power grid equipment m is sonMaximum uplink achievable rate R on channel nm，nThe expression of (a) is:
Figure FDA0002469940330000011
wherein, γm，nRepresenting the signal-to-interference-and-noise ratio, V, of the macro base station power grid equipment m on the sub-channel nk＝1，n0Is the length of a given data packet or data packets,
Figure FDA0002469940330000012
is that
Figure FDA0002469940330000013
The inverse of the function(s) is,
Figure FDA0002469940330000014
is the uplink transmission error rate;
maximum uplink reachable rate R of cell base station power grid equipment k on subchannel nk，nThe expression of (a) is:
Figure FDA0002469940330000015
wherein, γk，nAnd representing the signal-to-interference-and-noise ratio of the power grid equipment k of the cell base station on the subchannel n.
2. The new grid resource allocation system according to claim 1, wherein the macro base station grid equipment m has a signal to interference and noise ratio γ on the subchannel nm，nThe calculation formula of (2) is as follows:
Figure FDA0002469940330000016
wherein p ism,nRepresenting the transmission power of macro base station power grid equipment m on a sub-channel n, gm,nRepresenting the channel gain, p, of the macro base station grid equipment m on the subchannel nk,nTo representTransmission power g of cell base station grid equipment k on subchannel nk,nThe channel gain of the cell base station power grid equipment k on the subchannel n is represented, and the sigma represents the noise variance.
3. The system according to claim 1, wherein the cell site grid device k has a signal to interference plus noise ratio γ on the subchannel nk，nThe calculation formula of (2) is as follows:
Figure FDA0002469940330000021
wherein p isk,nRepresenting the transmission power of the cell site grid device k on the subchannel n, gks,nRepresenting the channel gain, p, of the cell site grid system k and the cell site s on the subchannel nm,nRepresenting the transmission power of macro base station power grid equipment m on a sub-channel n, gms,nAnd expressing the channel gain of the macro base station power grid equipment m and the cell base station s on the sub-channel n, and expressing the noise variance.
4. The system according to claim 3, wherein the cell site grid device k and the cell site s have a channel gain g on the subchannel nks,nThe calculation formula of (2) is as follows:
gks,n＝ωksζks(dks)-α，
where α denotes the path loss exponent, ω denotes the path loss constant,ksrepresenting fast fading gains, ζ, following an exponential distribution of cell grid equipment k to cell base station sksSlow fading gain, d, following a lognormal distribution, representing the cell grid equipment k to the cell base station sksRepresenting the transmission distance of the cell grid device k to the cell base station s.
5. A communication method based on a novel power grid resource distribution system, wherein the novel power grid resource distribution system comprises the novel power grid resource distribution system according to any one of claims 1 to 4, and the method comprises:
when the resource allocation of the electric power wireless communication service is carried out, firstly, a channel allocation matrix W is fixed, power allocation is carried out, and a power optimal solution is calculated; after the power distribution is finished, carrying out channel distribution by using the obtained optimal solution of the power distribution so as to obtain an optimal channel distribution matrix W; the system performs resource allocation of the power wireless communication service by using the optimal channel allocation matrix W.
6. The communication method according to claim 5, comprising the steps of:
initializing system parameters;
fixing a channel distribution matrix W, and calculating a power optimal solution;
initialization Pk,n,
Figure FDA0002469940330000022
Let variable l be 0;
to f (P)m,n)＝f(Pk,n,Pm,n) Solving a Taylor first-order expansion;
order to
Figure FDA0002469940330000031
The variable l is increased by 1;
judgment of
Figure FDA0002469940330000032
If yes, entering the next step; if not, solving f (P)m,n)＝f(Pk,n,Pm,n) Taylor first order expansion;
order to
Figure FDA0002469940330000033
Initialization
Figure FDA0002469940330000034
Let variable t be 0;
to f (P)k,n)＝f(Pk,n,Pm,n) Solving a Taylor first-order expansion;
order to
Figure FDA0002469940330000035
The variable t is increased by 1;
judgment of
Figure FDA0002469940330000036
If yes, entering the next step; if not, initializing
Figure FDA00024699403300000312
Let variable t be 0;
order to
Figure FDA0002469940330000039
Output of
Figure FDA00024699403300000310
Optimal solution is distributed with the obtained power:
Figure FDA00024699403300000311
carrying out channel allocation so as to obtain an optimal channel allocation matrix W;
and performing resource allocation of the power wireless communication service by using the optimal channel allocation matrix W.
7. The communication method according to claim 5, wherein f (P) is solved using a convex optimization toolkit cvxm,n)＝f(Pk,n,Pm,n) Taylor first order expansion.
8. The communication method according to claim 5, wherein the fixed channel allocation is specifically: the elements in the channel allocation matrix W are randomly selected, then the W matrix is fixed when power allocation is carried out, and channel allocation is carried out after the power allocation is finished.
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