CN109168178B - Method, device, equipment and storage medium for calculating throughput of multi-cell WPCN - Google Patents

Method, device, equipment and storage medium for calculating throughput of multi-cell WPCN Download PDF

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CN109168178B
CN109168178B CN201811300171.0A CN201811300171A CN109168178B CN 109168178 B CN109168178 B CN 109168178B CN 201811300171 A CN201811300171 A CN 201811300171A CN 109168178 B CN109168178 B CN 109168178B
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CN109168178A (en
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何春龙
梁佳倩
钱恭斌
冯大权
郭重涛
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Shenzhen University
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J50/00—Circuit arrangements or systems for wireless supply or distribution of electric power
    • H02J7/025—
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/06—Selective distribution of broadcast services, e.g. multimedia broadcast multicast service [MBMS]; Services to user groups; One-way selective calling services
    • 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
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Abstract

The invention discloses a method, a device, equipment and a storage medium for calculating throughput of a multi-cell wireless charging communication network, wherein the method comprises the following steps: broadcasting wireless energy to a user side in a wireless charging communication network through a cell hybrid access point; the cell hybrid access point receives preset information sent by a user side by using the wireless energy; and calculating the throughput when the cell hybrid access point receives the preset information by utilizing the time period when the cell hybrid access point receives the preset information. Compared with the prior art, the throughput of the cell hybrid access point when receiving the preset information can be calculated by utilizing the time period of the cell hybrid access point receiving the preset information, and the calculated throughput can be used for solving the problem of double near-far effect of the multi-cell wireless charging communication network.

Description

Method, device, equipment and storage medium for calculating throughput of multi-cell WPCN
Technical Field
The present invention relates to the field of Wireless Communication technologies, and in particular, to a method, an apparatus, a device, and a storage medium for calculating throughput of a multi-cell WPCN (Wireless Powered Communication Network).
Background
With the rapid development of wireless communication technology, the problem of limited energy supply of conventional wireless communication networks faces huge challenges. Conventional wireless communication devices often require wired charging or battery replacement, resulting in a high probability of communication disruption and high operating expenses. In addition, the battery is not easy to replace in some special places (such as medical electronic appliances implanted in human bodies, etc.). The radio frequency wireless charging technology is applied to a wireless communication network, and the problem of energy supply can be solved. The radio frequency wireless charging technology utilizes far field radiation characteristics of electromagnetic waves, so that a wireless receiver can remotely receive radio frequency signals radiated by an energy transmitter, and the problem of energy supply is solved.
The user throughput is an important index for evaluating the performance of the communication system, however, most of the current research on throughput is focused on the single-cell WPCN, and with the increase of the current population, the wireless devices are increased dramatically, and the capacity of the single-cell WPCN system is limited, so that the increasingly developed communication requirements of human beings cannot be met.
Disclosure of Invention
The application provides a method, a device, equipment and a storage medium for calculating the throughput of a multi-cell WPCN, which can effectively calculate the throughput of the multi-cell WPCN.
Specifically, a first aspect of the present invention provides a method for calculating throughput of a multi-cell wireless charging communication network, where the method includes:
broadcasting wireless energy to a user side in a wireless charging communication network through a cell hybrid access point;
the cell hybrid access point receives preset information sent by the user side by using the wireless energy;
and calculating the throughput when the cell hybrid access point receives the preset information by utilizing the time period when the cell hybrid access point receives the preset information.
Optionally, the step of calculating the throughput when the cell hybrid access point receives the preset information by using the time period when the cell hybrid access point receives the preset information includes:
calculating the throughput R when the mixed access point of the nth cell receives the preset information sent by the kth user terminal by using the following formulak：
Figure BDA0001852147190000021
Wherein, tauk,nIndicating a time period for the nth cell hybrid access point to receive the preset information sent by the kth user terminal,
Figure BDA0001852147190000022
representing the transmission power, g, of the kth user terminalk,nRepresents the channel power gain of the uplink from the kth user terminal to the nth cell hybrid access point, N represents the number of cell hybrid access points, XmRepresents the user terminal set corresponding to the mixed access point of the mth cell, tauj,mIndicating a time period for the jth ue to send the predetermined information to the mth cell hybrid access point,
Figure BDA0001852147190000023
representing the transmit power, g, of the jth subscriber stationj,nRepresents the channel power gain, σ, of the uplink from the jth subscriber station to the nth cell hybrid access pointnRepresenting the complex white gaussian noise power of the nth cell hybrid access point.
Optionally, before the step of calculating the throughput when the cell hybrid access point receives the preset information by using the time period when the cell hybrid access point receives the preset information, the method further includes:
constructing a maximized user minimum throughput function in the wireless charging communication network based on the calculated throughput;
converting the maximized user minimum throughput function to a convex function;
and solving the convex function by using a preset interior point method solving algorithm to obtain time distribution data of the wireless charging communication network, wherein the time distribution data comprises the time period.
Optionally, before the step of calculating the throughput when the cell hybrid access point receives the preset information by using the time period when the cell hybrid access point receives the preset information, the method further includes:
constructing a function for maximizing the total throughput of all users in the wireless charging communication network based on the calculated throughput;
converting the function of maximizing the total throughput of all users into a convex function;
and solving the convex function by using a preset interior point method solving algorithm to obtain time distribution data of the wireless charging communication network, wherein the time distribution data comprises the time period.
Specifically, a second aspect of the present invention provides a throughput calculation apparatus for a multi-cell wireless charging communication network, the apparatus including:
the transmitting module is used for broadcasting wireless energy to a user side in the wireless charging communication network through the cell hybrid access point;
a receiving module, configured to receive, by the cell hybrid access point, preset information sent by the user terminal by using the wireless energy;
and the calculating module is used for calculating the throughput when the cell hybrid access point receives the preset information by utilizing the time period when the cell hybrid access point receives the preset information.
Optionally, the computing module is configured to:
calculating the throughput R when the mixed access point of the nth cell receives the preset information sent by the kth user terminal by using the following formulak：
Figure BDA0001852147190000031
Wherein, tauk,nIndicating a time period for the nth cell hybrid access point to receive the preset information sent by the kth user terminal,
Figure BDA0001852147190000032
representing the transmission power, g, of the kth user terminalk,nRepresents the channel power gain of the uplink from the k-th user terminal to the N-th cell hybrid access point, N represents the number of cell hybrid access pointsAmount, XmRepresents the user terminal set corresponding to the mixed access point of the mth cell, tauj,mIndicating a time period for the jth ue to send the predetermined information to the mth cell hybrid access point,
Figure BDA0001852147190000041
representing the transmit power, g, of the jth subscriber stationj,nRepresents the channel power gain, σ, of the uplink from the jth subscriber station to the nth cell hybrid access pointnRepresenting the complex white gaussian noise power of the nth cell hybrid access point.
Optionally, the apparatus further comprises:
a first construction module, configured to construct a maximized user minimum throughput function in the wireless charging communication network based on the calculated throughput;
a first conversion module for converting the maximized user minimum throughput function into a convex function;
the first operation module is used for solving the convex function by using a preset interior point method solving algorithm to obtain time distribution data of the wireless charging communication network, wherein the time distribution data comprise the time period.
Optionally, the apparatus further comprises:
the second construction module is used for constructing a function of maximizing the total throughput of all users in the wireless charging communication network based on the calculated throughput;
the second conversion module is used for converting the function of maximizing the total throughput of all the users into a convex function;
and the second operation module is used for solving the convex function by utilizing a preset interior point method solving algorithm to obtain time distribution data of the wireless charging communication network, wherein the time distribution data comprises the time period.
Furthermore, a third aspect of the present invention provides an apparatus comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for calculating throughput of a multi-cell wireless charging communication network according to the first aspect of the present invention when executing the computer program.
Furthermore, a fourth aspect of the present invention provides a storage medium storing a computer program that, when executed by a processor, implements each step in the throughput calculation method of the multi-cell wireless charging communication network provided by the first aspect of the present invention.
The throughput calculation method of the multi-cell wireless charging communication network provided by the invention comprises the following steps: broadcasting wireless energy to a user side in a wireless charging communication network through a cell hybrid access point; the cell hybrid access point receives preset information sent by a user side by using the wireless energy; and calculating the throughput when the cell hybrid access point receives the preset information by utilizing the time period when the cell hybrid access point receives the preset information. Compared with the prior art, the throughput of the cell hybrid access point when receiving the preset information can be calculated by utilizing the time period of the cell hybrid access point receiving the preset information, and the calculated throughput can be used for solving the problem of double near-far effect of the multi-cell wireless charging communication network and improving the performance of the wireless charging communication network.
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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, 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 the drawings without creative efforts.
Fig. 1 is a flowchart illustrating a method for calculating throughput of a multi-cell wireless charging communication network according to an embodiment of the present invention;
fig. 2a and 2b are schematic diagrams of a multi-cell wireless charging communication network based on load coupling according to an embodiment of the present invention;
fig. 3 is a schematic diagram illustrating program modules of a throughput calculation apparatus of a multi-cell wireless charging communication network according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an apparatus provided in an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic flowchart illustrating steps of a method for calculating throughput of a multi-cell WPCN according to an embodiment of the present invention, where the method includes:
step 101, broadcasting wireless energy to a user terminal in a wireless charging communication network through a cell hybrid access point.
And 102, the cell hybrid access point receives preset information sent by the user side by using the wireless energy.
And 103, calculating the throughput of the cell hybrid access point when the cell hybrid access point receives the preset information by using the time period of the cell hybrid access point receiving the preset information.
Specifically, assume that N cell WPCNs include N HAPs with single antenna and K ues, in hn,kRepresents the channel power gain of the downlink from the nth HAP to the kth user terminal in gk,nIndicating the channel power gain of the uplink from the kth ue to the nth HAP. Assuming that the channels of the uplink and downlink have mutual benefits,
Figure BDA0001852147190000061
wherein d isn,kDenotes the distance from the nth HAP to the kth subscriber side and α denotes the attenuation index. Let xk,n(K-1, 2, …, K, N-1, 2 …, N) represents the associated variables of the ue and HAP, i.e. if the K-th user is usedThe user terminal is associated with the nth HAP, then xk,n1, otherwise xk,n＝0。
Figure BDA0001852147190000062
Indicating that each ue is associated with only one HAP. The set of user terminals of the nth cell is denoted as Xn＝{k|xk,n＝1,k＝1,…K}，
Figure BDA0001852147190000063
Indicating the number of users in the nth cell. Wherein each ue associates the HAP with the largest uplink channel power gain.
This embodiment uses a protocol that charges first and then transmits information (havest-then-transmit). Each unit time period is divided into two phases, WET (Wireless Energy Transfer) and WIT (Wireless Information Transmission). At tau0(0＜τ0< 1) WET phase, all HAPs broadcast wireless energy to each user, each user being able to store the received wireless energy. In the WIT phase, each ue in the cell uses a Time Division Multiple Access (TDMA) technique to transmit the preset information to the associated HAP using the stored wireless energy. Tau isk,n(0≤τk,n< 1) indicates the time period for the kth ue to send information to the nth HAP. When x isk,nWhen 1, τk,nIs greater than 0. According to the cell division, the sum of the time allocated to all the ues in each cell is added to the WET time, and the value is not more than the unit period, that is, the
Figure BDA0001852147190000071
During the WET phase, the total energy received by each ue is:
Figure BDA0001852147190000072
wherein eta is more than 0 and less than or equal to 1 is energy receiving efficiency,
Figure BDA0001852147190000073
indicating the fixed transmit power of the nth HAP. In the WIT stage, the kth ue transmits preset information to the nth HAP by using the total energy received by the kth ue, and the transmission power of the kth ue is:
Figure BDA0001852147190000074
referring to fig. 2a and 2b, fig. 2a and 2b are schematic diagrams of a multi-cell wireless charging communication network based on load coupling according to an embodiment of the present invention. In fig. 2a, the cell hybrid access point broadcasts wireless energy to the ue in the wireless charging communication network. In fig. 2b, the cell hybrid access point receives the preset information sent by the ue using the wireless energy.
In this embodiment, by using the TDMA mode, users in the same cell do not have interference, but are interfered by users from other cells (i.e., inter-cell interference). When x isk,nWhen 1, τk,nThe time component of the kth ue in the nth cell can also be regarded as a load factor. The load of the nth cell is calculated as
Figure BDA0001852147190000075
It can be seen that the average user transmit power of the nth cell is
Figure BDA0001852147190000076
If the user time allocation is random, the experienced inter-cell interference is long-term averaged for a given user terminal, so that the kth ∈ XnThe throughput of transmitting information from each ue to the nth HAP is:
Figure BDA0001852147190000081
wherein, tauk,nIndicating that the nth cell hybrid access point receives preset information sent by the kth user terminalThe period of time is such that,
Figure BDA0001852147190000082
representing the transmission power, g, of the kth user terminalk,nRepresents the channel power gain of the uplink from the kth user terminal to the nth cell hybrid access point, N represents the number of cell hybrid access points, XmRepresents the user terminal set corresponding to the mixed access point of the mth cell, tauj,mIndicating a time period for the jth ue to send the predetermined information to the mth cell hybrid access point,
Figure BDA0001852147190000083
representing the transmit power, g, of the jth subscriber stationj,nRepresents the channel power gain, σ, of the uplink from the jth subscriber station to the nth cell hybrid access pointnRepresenting the complex white gaussian noise power of the nth cell hybrid access point.
Wherein, substituting formula (3) into formula (4) can obtain:
Figure BDA0001852147190000084
wherein,
Figure BDA0001852147190000085
further, before the step 103, the method further includes:
step a, constructing a maximized user minimum throughput function in the wireless charging communication network based on the calculated throughput;
b, converting the minimum throughput function of the maximized user into a convex function;
and c, solving the convex function by using a preset interior point method solving algorithm to obtain time distribution data of the wireless charging communication network, wherein the time distribution data comprises the time period.
Specifically, the following is a process of constructing a function of maximizing a minimum throughput of a user in the wireless charging communication network:
the time sum constraint of equation (1) should be satisfied considering first the problem of optimal time allocation in a multi-cell WPCN when maximizing the minimum throughput of users. The problem can be described as:
Figure BDA0001852147190000091
s.t.τ0,τ≥0
Figure BDA0001852147190000092
where τ ═ { τ ═ τk,n|n＝1,…,N,k∈Xn}; introducing random variables
Figure BDA0001852147190000093
Formula (6) can be equivalently converted into:
Figure BDA0001852147190000094
s.t.τ0,τ≥0
Figure BDA0001852147190000095
Figure BDA0001852147190000096
further, the problem is converted into a convex optimization problem by adjusting the form of formula (7), namely, the constructed maximum user minimum throughput function is converted into a convex function. Then, the convex function can be solved by using an interior point method solving algorithm to obtain time distribution data of the wireless charging communication network.
Specifically, if the problems (6) and (7) are feasible, all ues must obtain a positive throughput and τ0,τ＞0. Wherein variable substitutions are introduced
Figure BDA0001852147190000097
Problem (7) can be solved to obtain an optimal solution by solving its equivalent problem (8). The method comprises the following specific steps:
Figure BDA0001852147190000098
Figure BDA0001852147190000099
Figure BDA00018521471900000910
as can be derived from equations (8a) and (8b), they are convex functions, while (8c) is non-convex, and can therefore be converted into the following form:
αk,n exp(tk,n)+γk,n exp(tk,n-t0)≤(exp(ln2·exp(S-tk,n))-1)-1 (9)
taking the natural logarithm at two sides of the formula (9) at the same time to obtain:
ln(αk,n exp(tk,n)+γk,n exp(tk,n-t0))+ln(exp(ln2·exp(S-tk,n))-1)≤0 (10)
wherein the first term of equation (10) is a convex function. The second term of the definition formula (10) is f (S, t)k,n)＝ln(exp(ln2·exp(S-tk,n) -1) whose Hessian matrix is:
Figure BDA0001852147190000101
wherein β ═ ln 2. exp (S-t)k,n)≥0，
Figure BDA0001852147190000102
When the beta is more than or equal to 0,
Figure BDA0001852147190000103
is an increasing function. Thus, it is possible to provide
Figure BDA0001852147190000104
Given an arbitrary vector v ═ v1,v2]TCan obtain
Figure BDA0001852147190000105
From the formula (12), it can be derived
Figure BDA0001852147190000106
Is a positive semi-definite matrix, f (S, t)k,n) Is a convex function. Therefore, equation (8c) is a convex function, and problem (8) is a convex optimization problem, and the optimal solution of problem (6) can be obtained by using equation (8), which includes the following specific processes:
firstly, converting the formula (6) into a convex optimization problem (8).
Secondly, the optimal time distribution data tau of the problem (8) is obtained by adopting an interior point method0,τ。
Wherein maximizing the minimum throughput of the user is beneficial to solving the dual near-far effect problem.
Further, before the step 103, the method further includes:
step A, constructing a function for maximizing the total throughput of all users in the wireless charging communication network based on the calculated throughput;
step B, converting the maximum total throughput function of all users into a convex function;
and step C, solving the convex function by using a preset interior point method solving algorithm to obtain time distribution data of the wireless charging communication network, wherein the time distribution data comprises the time period.
The following is a process of constructing a function that maximizes the total throughput of all users in the wireless charging communication network:
in this embodiment, the optimal time allocation problem in the multi-cell WPCN that maximizes the total throughput of all users should satisfy the time sum limitation of equation (1), and the optimization problem may be described as:
Figure BDA0001852147190000111
s.t.τ0,τ≥0
Figure BDA0001852147190000112
where τ ═ { τ ═ τk,n|n＝1,…,N,k∈Xn}. Equation (13) is a non-concave nonlinear optimization problem, defining ωk,nEnergy which is remained after power gain amplification and interference consumption and is only used for transmitting information to nth HAP by kth user terminal is represented, and omega is satisfiedk,n≤(αk,n+γk,n/τ0)-1. The throughput of the kth user at this time is:
Figure BDA0001852147190000113
the optimal time allocation problem (15) that maximizes the overall user throughput can be equivalently expressed as
Figure BDA0001852147190000114
s.t.τ0,τ,ω≥0 (15b)
Figure BDA0001852147190000115
Figure BDA0001852147190000116
Where ω is { ω ═ ωkn|n＝1,2,…,N,k∈Xn}. Formula (15c) is convexAs a function, the term on the right of equation (15d) is a concave function. The Hessian matrix of equation (14) is
Figure BDA0001852147190000117
Given an arbitrary vector v ═ v1,v2]TIt is possible to obtain:
Figure BDA0001852147190000121
as can be seen from the formula (17)
Figure BDA0001852147190000122
Is a negative semi-definite matrix, equation (14) is a concave function, and equation (15a) is also a concave function. Therefore, the problem (15) is a convex optimization problem, and in this embodiment, the optimal solution of the equation (13) can be obtained by using a corresponding optimization algorithm. The specific algorithm is as follows:
firstly, converting the formula (13) into a convex optimization problem (15).
Secondly, the optimal time distribution data tau of the problem (15) is obtained by adopting an interior point method0,τ。
The throughput calculation method of the multi-cell wireless charging communication network provided by the invention comprises the following steps: broadcasting wireless energy to a user side in a wireless charging communication network through a cell hybrid access point; the cell hybrid access point receives preset information sent by a user side by using the wireless energy; and calculating the throughput when the cell hybrid access point receives the preset information by utilizing the time period when the cell hybrid access point receives the preset information. Compared with the prior art, the throughput of the cell hybrid access point when receiving the preset information can be calculated by utilizing the time period of the cell hybrid access point receiving the preset information, and the calculated throughput can be used for solving the problem of double near-far effect of the multi-cell wireless charging communication network.
Further, an embodiment of the present invention further provides a throughput calculation apparatus for a multi-cell wireless charging communication network, referring to fig. 3, where fig. 3 is a schematic diagram of program modules of the throughput calculation apparatus for a multi-cell wireless charging communication network in an embodiment of the present invention, and the apparatus includes:
a sending module 301, configured to broadcast wireless energy to a user terminal in a wireless charging communication network through a cell hybrid access point;
a receiving module 302, configured to receive, by the cell hybrid access point, preset information sent by the user terminal by using the wireless energy;
a calculating module 303, configured to calculate throughput when the cell hybrid access point receives the preset information by using a time period when the cell hybrid access point receives the preset information.
Wherein, the calculating module 303 is specifically configured to:
calculating the throughput R when the mixed access point of the nth cell receives the preset information sent by the kth user terminal by using the following formulak：
Figure BDA0001852147190000131
Wherein, tauk,nIndicating a time period for the nth cell hybrid access point to receive the preset information sent by the kth user terminal,
Figure BDA0001852147190000132
representing the transmission power, g, of the kth user terminalk,nRepresents the channel power gain of the uplink from the kth user terminal to the nth cell hybrid access point, N represents the number of cell hybrid access points, XmDenotes the set of user terminals, τ, in the mth cellj,mIndicating a time period for the jth ue to send the predetermined information to the mth cell hybrid access point,
Figure BDA0001852147190000133
representing the transmit power, g, of the jth subscriber stationj,nIndicating that uplink is from the jth subscriber station to the nth cell hybrid access pointChannel power gain of σnRepresenting the complex white gaussian noise power of the nth cell hybrid access point.
In addition, the above apparatus further comprises:
a first construction module, configured to construct a maximized user minimum throughput function in the wireless charging communication network based on the calculated throughput;
a first conversion module for converting the maximized user minimum throughput function into a convex function;
the first operation module is used for solving the convex function by using a preset interior point method solving algorithm to obtain time distribution data of the wireless charging communication network, wherein the time distribution data comprise the time period.
In addition, the above apparatus further comprises:
the second construction module is used for constructing a function of maximizing the total throughput of all users in the wireless charging communication network based on the calculated throughput;
the second conversion module is used for converting the function of maximizing the total throughput of all the users into a convex function;
and the second operation module is used for solving the convex function by utilizing a preset interior point method solving algorithm to obtain time distribution data of the wireless charging communication network, wherein the time distribution data comprises the time period.
The throughput calculation device of the multi-cell wireless charging communication network provided by the invention can realize that: broadcasting wireless energy to a user terminal in a wireless charging communication network through a cell hybrid access point, wherein the cell hybrid access point receives preset information sent by the user terminal by using the wireless energy; and calculating the throughput when the cell hybrid access point receives the preset information by utilizing the time period when the cell hybrid access point receives the preset information. That is, the device can calculate the throughput of the cell hybrid access point when receiving the preset information by using the time period of the cell hybrid access point receiving the preset information, and can be used for solving the problem of double near-far effect of the multi-cell wireless charging communication network according to the calculated throughput.
The embodiment of the present invention further provides a device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the method implements each step in the corresponding embodiment of the method for calculating throughput of the multi-cell wireless charging communication network according to the present invention.
An embodiment of the present invention further provides a readable storage medium, which is a computer readable storage medium, and a computer program is stored on the readable storage medium, and when the computer program is executed by a processor, the steps in the corresponding embodiment of the throughput calculation method for a multi-cell wireless charging communication network according to the present invention are implemented.
For a better understanding of the present invention, reference is made to fig. 4, which is a schematic structural diagram of the apparatus provided in the embodiment of the present invention. As shown in fig. 4, the apparatus 04 of this embodiment mainly includes: a processor 40, a memory 41, and a computer program 42, such as a throughput calculation program for a multi-cell WPCN, stored in the memory 41 and operable on the processor 40. The processor 40, when executing the computer program 42, implements the steps in the corresponding embodiments of the method for calculating throughput of a multi-cell WPCN described above; alternatively, the processor 40, when executing the computer program 42, implements the functions of the modules/units in the above-described apparatus embodiments, such as the functions of the modules shown in fig. 3.
The computer program 42 may be divided into one or more modules/units, which are stored in the memory 41 and executed by the processor 40 to implement the present invention. One or more of the modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 42 in the device 04.
The device 04 may include, but is not limited to, a processor 40, a memory 41. Those skilled in the art will appreciate that fig. 4 is merely an example of device 04 and does not constitute a limitation of device 04 and may include more or fewer components than shown, or some components may be combined, or different components, e.g., a computing device may also include input-output devices, network access devices, buses, etc.
The Processor 40 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 41 may be an internal storage unit of the device 04, such as a hard disk or a memory of the device 04. The memory 41 may also be an external storage device of the device 04, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc., provided on the device 04. Further, memory 41 may also include both internal storage units of device 04 and external storage devices. The memory 41 is used to store computer programs and other programs and data required by the computing device. The memory 41 may also be used to temporarily store data that has been output or is to be output.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical division, and in actual implementation, there may be other divisions, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It should be noted that, for the sake of simplicity, the above-mentioned method embodiments are described as a series of acts or combinations, but those skilled in the art should understand that the present invention is not limited by the described order of acts, as some steps may be performed in other orders or simultaneously according to the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no acts or modules are necessarily required of the invention.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the above description, for a person skilled in the art, there are variations on the specific implementation and application scope according to the ideas of the embodiments of the present invention, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (7)

1. A method for calculating throughput of a multi-cell wireless charging communication network, the method comprising:
broadcasting wireless energy to a user side in a wireless charging communication network through a cell hybrid access point;
receiving preset information sent by the user side by using the wireless energy through the cell hybrid access point;
calculating the throughput when the cell hybrid access point receives the preset information by utilizing the time period when the cell hybrid access point receives the preset information;
wherein, the step of calculating the throughput when the cell hybrid access point receives the preset information by using the time period when the cell hybrid access point receives the preset information comprises:
calculating the throughput R when the mixed access point of the nth cell receives the preset information sent by the kth user terminal by using the following formulaK：
Figure FDA0003214067250000011
Wherein, tauk,nIndicating a time period for the nth cell hybrid access point to receive the preset information sent by the kth user terminal,
Figure FDA0003214067250000012
representing the transmission power, g, of the kth user terminalk,nIndicating the channel work of the uplink from the kth user terminal to the nth cell hybrid access pointRate gain, N represents the number of cell hybrid access points, XmRepresents the user terminal set corresponding to the mixed access point of the mth cell, tauj,mRepresents the time period, P, for the jth ue to send the preset information to the mth cell hybrid access pointj (1)Representing the transmit power, g, of the jth subscriber stationj,nRepresents the channel power gain, σ, of the uplink from the jth subscriber station to the nth cell hybrid access pointnRepresenting the complex white gaussian noise power of the nth cell hybrid access point.
2. The method of claim 1, wherein the step of calculating the throughput of the cell hybrid access point when receiving the preset information using the time period of the cell hybrid access point receiving the preset information is preceded by the step of:
constructing a maximized user minimum throughput function in the wireless charging communication network based on the calculated throughput;
converting the maximized user minimum throughput function to a convex function;
and solving the convex function by using a preset interior point method solving algorithm to obtain time distribution data of the wireless charging communication network, wherein the time distribution data comprises the time period.
3. A throughput computing apparatus of a multi-cell wireless charging communication network, the apparatus comprising:
the transmitting module is used for broadcasting wireless energy to a user side in the wireless charging communication network through the cell hybrid access point;
a receiving module, configured to receive, by the cell hybrid access point, preset information sent by the user terminal by using the wireless energy;
a calculating module, configured to calculate throughput when the cell hybrid access point receives the preset information by using a time period when the cell hybrid access point receives the preset information, where the calculating module is specifically configured to:
to utilize inThe throughput R of the mixed access point of the nth cell when receiving the preset information sent by the kth user terminal is calculated by the following formulaK：
Figure FDA0003214067250000031
Wherein, tauk,nIndicating a time period for the nth cell hybrid access point to receive the preset information sent by the kth user terminal,
Figure FDA0003214067250000032
representing the transmission power, g, of the kth user terminalk,nRepresents the channel power gain of the uplink from the kth user terminal to the nth cell hybrid access point, N represents the number of cell hybrid access points, XmRepresents the user terminal set corresponding to the mixed access point of the mth cell, tauj,mIndicating a time period P for the jth ue to send the preset information to the mth cell hybrid access pointj (1)Representing the transmit power, g, of the jth subscriber stationj,nRepresents the channel power gain, σ, of the uplink from the jth subscriber station to the nth cell hybrid access pointnRepresenting the complex white gaussian noise power of the nth cell hybrid access point.
4. The apparatus of claim 3, wherein the apparatus further comprises:
a first construction module, configured to construct a maximized user minimum throughput function in the wireless charging communication network based on the calculated throughput;
a first conversion module for converting the maximized user minimum throughput function into a convex function;
the first operation module is used for solving the convex function by using a preset interior point method solving algorithm to obtain time distribution data of the wireless charging communication network, wherein the time distribution data comprise the time period.
5. The apparatus of claim 3, wherein the apparatus further comprises:
the second construction module is used for constructing a function of maximizing the total throughput of all users in the wireless charging communication network based on the calculated throughput;
the second conversion module is used for converting the function of maximizing the total throughput of all the users into a convex function;
and the second operation module is used for solving the convex function by utilizing a preset interior point method solving algorithm to obtain time distribution data of the wireless charging communication network, wherein the time distribution data comprises the time period.
6. An apparatus comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor when executing the computer program implements the steps of the method for calculating throughput of a multi-cell wireless charging communication network according to any one of claims 1 to 2.
7. A storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the method for calculating throughput of a multi-cell wireless charging communication network according to any one of claims 1 to 2.
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