CN115883487A - Resource allocation method, device and storage medium for power communication system - Google Patents
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Abstract
The embodiment of the application provides a resource allocation method, a device and a storage medium of a power communication system, wherein the method comprises the following steps: establishing a resource allocation optimization model taking the minimum sending power of a base station as a target and the target index value reached by the communication performance index of each power terminal as a constraint condition according to the communication system parameters and the communication performance index of each power terminal; and solving the resource allocation optimization model according to a preset method to obtain the subcarriers and modulation parameters allocated to each power terminal, so that the communication performance of the power terminals can be ensured, the power consumption of the base station can be ensured to be the lowest, and the communication resources of the power terminals are optimally allocated.
Description
Technical Field
The embodiment of the application relates to the technical field of power communication systems, and in particular, to a resource allocation method and device for a power communication system, and a storage medium.
Background
The power communication system is an important basis for guaranteeing safe, stable and economic operation of a power grid. With the continuous expansion of power services, higher requirements are put forward on the data transmission rate and reliability of a system, and how to meet the service quality of a power terminal by using limited resources under the condition of achieving communication performance is a problem to be solved.
Disclosure of Invention
In view of the above, an object of the embodiments of the present application is to provide a resource allocation method, device and storage medium for a power communication system, so as to solve the problem of communication resource allocation of a power terminal.
Based on the above purpose, an embodiment of the present application provides a resource allocation method for an electric power communication system, including:
establishing a resource allocation optimization model taking the minimum sending power of a base station as a target and the target index value reached by the communication performance index of each power terminal as a constraint condition according to the communication system parameters and the communication performance index of each power terminal;
and solving the resource allocation optimization model according to a preset method to obtain the sub-carriers and modulation parameters allocated to each power terminal.
Optionally, the communication system parameters include a bandwidth, a number of subcarriers, a number of power terminals, a number of service levels of the power terminals, and channel state information, and the communication performance indicators include a data transmission rate and an error rate;
according to communication system parameters and communication performance indexes of each power terminal, a resource allocation optimization model taking the minimum sending power of a base station and the target index value reached by the communication performance index of each power terminal as constraint conditions is established, and the resource allocation optimization model comprises the following steps:
and establishing a resource allocation optimization model taking the minimum sending power, the target transmission rate and the bit error rate smaller than the maximum bit error rate as constraint conditions according to the bandwidth, the number of subcarriers, the number of electric terminals, the number of service levels, the bit error rate and the data transmission rate corresponding to the electric terminals with different service levels.
Optionally, the resource allocation optimization model is:
wherein M is the number of power terminals, I is the number of subcarriers, T is the number of service levels of the power terminals,
the transmission power required for transmitting data of the mth power terminal with the service class t by using the ith subcarrier, B is the bandwidth, N 0 To noise power spectral density, h mi Channel state information on ith subcarrier for mth power terminal, α mi For indicating whether the ith subcarrier is allocated to the mth power terminal, c mi For the number of modulation bits for one OFDM symbol for the mth power terminal on the ith subcarrier, f t (c mi ) Is that the number of modulation bits is c mi Signal-to-noise ratio of time, R t For a target data transmission rate, M, for a power terminal of class t 1 Number of power terminals of first service class, M 2 -1 is the number of power terminals of the second class of service, M T -1 is the number of power terminals of the Tth service class, device for combining or screening>
Is the bit error rate, P max Is the maximum bit error rate.
Optionally, the OFDM symbol is modulated by using a quadrature amplitude modulation method, where the number of modulation bits is 1,2, 4, or 6, and the resource allocation optimization model is:
wherein Q -1 (x) Is the inverse function of Q (x),
indicating whether or not the ith subcarrier is allocated to the mth power terminal.
Optionally, solving the resource allocation optimization model according to a predetermined method to obtain subcarriers and modulation parameters allocated to each power terminal, including:
and solving the resource allocation optimization model according to a convex optimization solving algorithm to obtain the modulation bit number of the mth power terminal on the ith subcarrier.
An embodiment of the present application further provides a resource allocation apparatus for an electric power communication system, including:
the modeling module is used for establishing a resource allocation optimization model taking the minimum sending power of the base station as a target and the target index value reached by the communication performance index of each power terminal as a constraint condition according to the communication system parameters and the communication performance index of each power terminal;
and the distribution module is used for solving the resource distribution optimization model according to a preset method to obtain the sub-carriers and the modulation parameters distributed to each power terminal.
Optionally, the communication system parameters include a bandwidth, a number of subcarriers, a number of power terminals, a number of service levels of the power terminals, and channel state information, and the communication performance index includes a data transmission rate and an error rate;
and the modeling module is used for establishing a resource allocation optimization model which takes the minimum sending power, the target transmission rate and the bit error rate smaller than the maximum bit error rate as constraint conditions according to the bandwidth, the number of subcarriers, the number of electric terminals, the number of service levels, the bit error rate and the data transmission rate corresponding to the electric terminals with different service levels.
Optionally, the resource allocation optimization model is:
wherein M is the number of the power terminals, I is the number of the subcarriers, T is the number of the service levels of the power terminals,
the transmission power required for transmitting data of the mth power terminal with the service class t by using the ith subcarrier, B is the bandwidth, N 0 To noise power spectral density, h mi Channel state information on the ith subcarrier for the mth power terminal, α mi For indicating whether the ith subcarrier is allocated to the mth power terminal, c mi For the number of modulation bits for one OFDM symbol for the mth power terminal on the ith subcarrier, f t (c mi ) Is that the number of modulation bits is c mi Signal-to-noise ratio of time, R t For a target data transmission rate, M, for a power terminal of class t 1 Number of power terminals of first service class, M 2 -1 is the number of power terminals of the second class of service, M T -1 is the number of power terminals of the Tth service class, device for combining or screening>
Is the bit error rate, P max Is the maximum bit error rate.
Optionally, the OFDM symbol is modulated by using an orthogonal amplitude modulation method, where the number of modulation bits is 1,2, 4, or 6, and the resource allocation optimization model is:
wherein Q -1 (x) Is the inverse function of Q (x),
indicating whether or not the ith subcarrier is allocated to the mth power terminal.
Embodiments of the present application also provide a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the resource allocation method.
As can be seen from the foregoing, according to the resource allocation method, apparatus, and storage medium of the power communication system provided in the embodiment of the present application, a resource allocation optimization model is established according to communication system parameters and communication performance indexes of each power terminal, where the resource allocation optimization model is based on a constraint condition that the transmission power of a base station is minimized and the communication performance indexes of each power terminal are maximized and the target index values are solved according to a predetermined method, so as to obtain subcarriers and modulation parameters allocated to each power terminal, thereby ensuring both the communication performance of the power terminals and the power consumption of the base station to be minimized, and reasonably allocating communication resources to different power terminals.
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In order to more clearly illustrate the embodiments of the present application 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 the embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a system architecture diagram of a power communication system according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a method according to an embodiment of the present application;
fig. 3 is a schematic diagram illustrating a relationship between transmission power and the number of subcarriers corresponding to different data transmission rates according to an embodiment of the present application;
fig. 4 is a schematic diagram illustrating a relationship between transmission power and the number of subcarriers corresponding to different bit error rates according to an embodiment of the present application;
FIG. 5 is a schematic diagram of an apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
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 should be noted that technical terms or scientific terms used in the embodiments of the present application should have a general meaning as understood by those having ordinary skill in the art to which the present disclosure belongs, unless otherwise defined. The use of "first," "second," and similar terms in the embodiments of the present application 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.
As shown in fig. 1, in some scenarios, an electric power communication system at least includes a base station and a plurality of electric power terminals, where the electric power terminals are, for example, distributed power supplies, detection devices, scheduling units, intelligent electric power devices, and the like, the electric power terminals perform information transmission and exchange through the base station, the electric power terminals may send uplink data to the base station, which includes service request data, status data, and the like, and the base station may send downlink data to the electric power terminals, which includes service response data, control data, and the like. Because the number of the power terminals is large, the service types of different power terminals are different, the required communication performance is different, and the communication resources of the base station are limited, how to distribute reasonable communication resources for various power terminals is a problem to be solved on the basis of ensuring the service quality of the power terminals.
In view of this, an embodiment of the present application provides a resource allocation method for an electric power communication system, which establishes a resource allocation optimization model that aims at minimizing the transmission power of a base station and is constrained by that a data transmission rate and an error rate of each electric power terminal satisfy a predetermined condition, and solves the resource allocation optimization model to obtain a resource allocation result. And communication resources are distributed to each power terminal according to the resource distribution result, so that the communication performance of the power terminals can be ensured, and the power consumption of the base station can be reduced.
Hereinafter, the technical means of the present application will be described in further detail by specific examples.
As shown in fig. 2, an embodiment of the present application provides a resource allocation method for a power communication system, including:
s201: establishing a resource allocation optimization model taking the minimum sending power of a base station as a target and the target index value reached by the communication performance index of each power terminal as a constraint condition according to the communication system parameters and the communication performance index of each power terminal;
s202: and solving the resource allocation optimization model according to a preset method to obtain the sub-carriers and modulation parameters allocated to each power terminal.
In this embodiment, in the power communication system, in consideration of limited communication resources, different service types of various power terminals, and different communication performances to be achieved, for reasonably allocating communication resources, according to communication system parameters and communication performance indexes of each power terminal, a resource allocation optimization model is established that aims at minimizing the transmission power of a base station, and that simultaneously solves the resource allocation optimization model with the communication performance of the power terminal as a constraint condition, so as to obtain a resource allocation result, and subcarrier and modulation parameters are allocated to each power terminal according to the resource allocation result, which can meet the communication performance requirements of the power terminal, and can also reduce the power consumption of the base station, thereby achieving the purpose of reasonably allocating communication resources.
In some embodiments, the communication system parameters include bandwidth, number of subcarriers, number of power terminals, number of service levels of the power terminals, and channel state information, and the communication performance indicators include data transmission rate and bit error rate;
according to communication system parameters and communication performance indexes of each power terminal, a resource allocation optimization model taking the minimum sending power of a base station and the target index value reached by the communication performance index of each power terminal as constraint conditions is established, and the resource allocation optimization model comprises the following steps:
and establishing a resource allocation optimization model taking the minimum sending power, the target transmission rate and the bit error rate smaller than the maximum bit error rate as constraint conditions according to the bandwidth, the number of subcarriers, the number of electric power terminals, the number of service levels, the bit error rate and the data transmission rate corresponding to the electric power terminals with different service levels.
In this embodiment, the communication system parameters of the power communication system include a bandwidth, the number of subcarriers that are subjected to multicarrier modulation by using an Orthogonal Frequency Division Multiplexing (OFDM) technology, channel State Information (CSI), the number of power terminals in the system, a service level of each power terminal, and the number of service levels of all power terminals in the system, for example, the service level of M1 power terminals is a first service level, the service level of M2 power terminals is a second service level, and there are M service levels in total, where the service levels of the power terminals are determined according to data transmission rate and error rate. The communication performance indexes of the power terminal comprise a data transmission rate and a bit error rate. When resource allocation optimization modeling is carried out, based on various communication system parameters, the service level of each power terminal is considered, the data transmission rate of the power terminal should meet the corresponding service level requirement, the bit error rate should meet the corresponding service level requirement, and on the basis of meeting the constraint conditions, the transmitting power of the base station is enabled to be minimum.
In some embodiments, the resource allocation optimization model is established as follows:
whereinM is the number of power terminals, I is the number of subcarriers, T is the number of service levels of the power terminals,
transmission power, R, required for transmitting data of the mth power terminal with class of service t using the ith subcarrier t Target data transmission rate, M, for power terminals of class t 1 Number of power terminals of first service class, M 2 -1 is the number of power terminals of the second class of service, M T -1 is the number of power terminals of the Tth service class, <' >>
Error rate for the t-th service class, P max Is the maximum bit error rate. Alpha is alpha mi Is used for indicating whether the ith subcarrier is distributed to the mth power terminal when alpha mi =1, the ith subcarrier is allocated to the mth power terminal, when alpha mi If =0, the ith subcarrier is not allocated to the mth power terminal. c. C mi When Quadrature Amplitude Modulation (QAM) is adopted for the Modulation bit number of one OFDM symbol of the mth power terminal on the ith subcarrier, C is the number of constellation points, and the number is greater than or equal to>
c mi ＝{1,2,4,6}。
Receiving end receiving c with t-th service grade mi At bit/symbol, the signal-to-noise ratio is:
wherein,
Q -1 (x) Is the inverse function of Q (x), x being a variable of Q (x). Can obtainThe ith subcarrier is allocated to the mth power terminal, and the transmission power which can meet the tth service level is as follows:
where B is the bandwidth and N is 0 To noise power spectral density, h mi Channel state information on the ith subcarrier for the mth power terminal.
Modulating the OFDM symbols by adopting a quadrature amplitude modulation mode, wherein the number of modulation bits can be 1,2, 4 or 6, and according to the formulas (2) and (4), the following can be obtained:
wherein,
according to formulas (5) - (7), the resource allocation optimization model is converted into:
wherein,
indicating whether or not the ith subcarrier is allocated to the mth power terminal. The S with different values represents different modulation modes, and the number of bits allocated to each modulation mode is 1,2,3,4.
Because the resource allocation optimization model shown in the formula (8) is a convex optimization problem, the resource allocation optimization model is solved according to a convex optimization solving algorithm, so that the modulation bit number of the mth power terminal on the ith subcarrier is obtained, the subcarrier allocated by each power terminal is finally determined, and the modulation bit number is obtained when the QAM modulation mode is adopted to transmit the OFDM symbols on the subcarriers. Optionally, a CVX convex optimization toolbox method may be used to solve the convex optimization problem shown in formula (8), so as to obtain a resource allocation result.
The resource allocation method of the present application will be described below with reference to experimental data.
Three power terminals are configured in a power communication system, the three power terminals correspond to three service levels, and the requirements of the three service levels are as follows: the data transmission rates are respectively 5 bits/OFDM symbol, 8 bits/OFDM symbol and 8 bits/OFDM symbol, and the error rates are respectively 0.01, 0001 and 0.002. The number of the sub-carriers of the system is 10, and the total bandwidth is 5MHz. After the resource allocation optimization model is solved by using the convex optimization solving algorithm, the following resource allocation results are obtained:
TABLE 1 Cth Power terminal channel State information on ith subcarrier
TABLE 2 modulation bit number of mth power terminal on ith subcarrier
| α mi f t (c mi ) | i＝1 | i＝2 | i＝3 | i＝4 | i＝5 | i＝6 | i＝7 | i＝8 | i＝9 | i＝10 |
| m＝1 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 |
| m＝2 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 0 | 0 | 2 |
| m＝3 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 4 | 0 |
In the power communication system configured in the experiment, 1 st, 3 rd and 8 th subcarriers are allocated to the 1 st power terminal, and the modulation bit number of a symbol on each subcarrier is 2, 1 and 2 respectively; allocating 4 th, 5 th, 7 th and 10 th subcarriers for the 2 nd power terminal, wherein the modulation bit number of symbols on each subcarrier is respectively 2, 2 and 2; the 2 nd, 6 th and 9 th subcarriers are allocated to the 3 rd power terminal, and the number of modulation bits of a symbol on each subcarrier is 2, 2 and 4, respectively.
As shown in fig. 3, under the condition that the error rates are the same and the data transmission rates are different, the number of subcarriers increases, the power consumption of the system decreases, and when the data transmission rate increases, the power consumption of the system increases.
As shown in fig. 4, under the conditions of the same data transmission rate and different bit error rates, the number of subcarriers increases, the power consumption of the system decreases, and when the bit error rate decreases, the power consumption of the system increases.
According to the resource allocation method of the power communication system, the resource allocation optimization model is established based on the communication system parameters of the power communication system and the communication performance requirements of all power terminals in the system, the communication resources optimally allocated to the power terminals can be obtained by solving the model, the communication performance of the power terminals can be guaranteed, and the lowest power consumption of the system can be guaranteed.
It should be noted that the method of the embodiment of the present application may be executed by a single device, such as a computer or a 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 multiple devices may only perform one or more steps of the method of the embodiment, and the multiple devices interact with each other to complete the method.
It should be noted that the above description describes certain embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can 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.
As shown in fig. 5, an embodiment of the present application provides a resource allocation apparatus for a power communication system, including:
the modeling module is used for establishing a resource allocation optimization model taking the minimum sending power of the base station as a target and the target index value reached by the communication performance index of each power terminal as a constraint condition according to the communication system parameters and the communication performance index of each power terminal;
and the distribution module is used for solving the resource distribution optimization model according to a preset method to obtain the sub-carriers and the modulation parameters distributed to each power terminal.
For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, the functions of the modules may be implemented in the same or multiple software and/or hardware when implementing the embodiments of the present application.
The apparatus of the foregoing embodiment is used to implement the corresponding method in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Fig. 6 is a schematic diagram illustrating a more specific hardware structure of an electronic device according to this embodiment, where the 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 solutions provided by the embodiments of the present specification are implemented by software or firmware, the relevant program codes are stored in the memory 1020 and called by the processor 1010 for execution.
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. Wherein the input devices may include a keyboard, mouse, touch screen, microphone, various sensors, etc., and the output devices may include a display, speaker, vibrator, 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 (for example, USB, network cable, etc.), and can also realize communication in a wireless mode (for example, mobile network, WIFI, bluetooth, etc.).
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.
The electronic device of the foregoing embodiment is used to implement the corresponding method in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
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, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile 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.
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 concept of the present disclosure, also technical features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present application 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 within the provided figures for simplicity of illustration and discussion, and so as not to obscure the embodiments of the application. Furthermore, devices may be shown in block diagram form in order to avoid obscuring embodiments of the application, 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 embodiments of the application 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 the 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, such as Dynamic RAM (DRAM), may use the discussed embodiments.
The present embodiments are intended to embrace all such alternatives, modifications and variances which 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 the embodiments of the present disclosure are intended to be included within the scope of the disclosure.
Claims (10)
1. A resource allocation method of a power communication system is characterized by comprising the following steps:
establishing a resource allocation optimization model taking the minimum sending power of a base station as a target and the target index value reached by the communication performance index of each power terminal as a constraint condition according to the communication system parameters and the communication performance index of each power terminal;
and solving the resource allocation optimization model according to a preset method to obtain the sub-carriers and modulation parameters allocated to each power terminal.
2. The method of claim 1, wherein the communication system parameters comprise bandwidth, number of subcarriers, number of power terminals, number of service levels of power terminals, and channel state information, and the communication performance indicators comprise data transmission rate and bit error rate;
according to communication system parameters and communication performance indexes of each power terminal, a resource allocation optimization model taking the minimum sending power of a base station and the target index value reached by the communication performance index of each power terminal as constraint conditions is established, and the resource allocation optimization model comprises the following steps:
and establishing a resource allocation optimization model taking the minimum sending power, the target transmission rate and the bit error rate smaller than the maximum bit error rate as constraint conditions according to the bandwidth, the number of subcarriers, the number of electric terminals, the number of service levels, the bit error rate and the data transmission rate corresponding to the electric terminals with different service levels.
3. The method of claim 2, wherein the resource allocation optimization model is:
wherein M is the number of power terminals, I is the number of subcarriers, T is the number of service levels of the power terminals,
the transmission power required for transmitting data of the mth power terminal with the service class t by using the ith subcarrier, B is the bandwidth, N 0 To the noise power spectral density, h mi Channel state information on the ith subcarrier for the mth power terminal, α mi For indicating whether the ith subcarrier is allocated to the mth power terminal, c mi For m power terminals on the ith subcarrierNumber of modulation bits of one OFDM symbol of the terminal, f t (c mi ) Is that the number of modulation bits is c mi Signal to noise ratio of time, R t Target data transmission rate, M, for power terminals of class t 1 Number of power terminals of first service class, M 2 -1 is the number of power terminals of the second class of service, M T -1 is the number of power terminals of the Tth service class, <' >>
Is the bit error rate, P max Is the maximum bit error rate.
4. The method according to claim 3, wherein the OFDM symbol is modulated by a quadrature amplitude modulation scheme, the number of modulation bits is 1,2, 4, or 6, and the resource allocation optimization model is:
wherein Q -1 (x) Is the inverse function of Q (x),
indicating whether or not the ith subcarrier is allocated to the mth power terminal.
5. The method according to claim 4, wherein solving the resource allocation optimization model according to a predetermined method to obtain the sub-carriers and modulation parameters allocated to each power terminal comprises:
and solving the resource allocation optimization model according to a convex optimization solving algorithm to obtain the modulation bit number of the mth power terminal on the ith subcarrier.
6. A resource allocation apparatus of a power communication system, comprising:
the modeling module is used for establishing a resource allocation optimization model taking the minimum sending power of the base station as a target and the target index value reached by the communication performance index of each power terminal as a constraint condition according to the communication system parameters and the communication performance index of each power terminal;
and the distribution module is used for solving the resource distribution optimization model according to a preset method to obtain the sub-carriers and the modulation parameters distributed to each power terminal.
7. The apparatus of claim 6, wherein the communication system parameters comprise bandwidth, number of subcarriers, number of power terminals, number of service levels of power terminals, channel state information, and the communication performance indicators comprise data transmission rate and bit error rate;
and the modeling module is used for establishing a resource allocation optimization model which takes the minimum sending power, the target transmission rate and the bit error rate smaller than the maximum bit error rate as constraint conditions according to the bandwidth, the number of subcarriers, the number of electric terminals, the number of service levels, the bit error rate and the data transmission rate corresponding to the electric terminals with different service levels.
8. The apparatus of claim 7, wherein the resource allocation optimization model is:
wherein M is the number of power terminals, I is the number of subcarriers, and T is the power terminalThe number of service classes of a peer is,
transmitting power required for transmitting data of the mth power terminal with the service class t by using the ith subcarrier, B is bandwidth, N is 0 To noise power spectral density, h mi Channel state information on the ith subcarrier for the mth power terminal, α mi For indicating whether the ith subcarrier is allocated to the mth power terminal, c mi For the number of modulation bits for one OFDM symbol for the mth power terminal on the ith subcarrier, f t (c mi ) For the number of modulation bits to be c mi Signal-to-noise ratio of time, R t For a target data transmission rate, M, for a power terminal of class t 1 Number of power terminals of first service class, M 2 -1 is the number of power terminals of the second class of service, M T -1 is the number of power terminals of the Tth service class, device for selecting or keeping>
Is the bit error rate, P max Is the maximum bit error rate.
9. The apparatus according to claim 8, wherein an OFDM symbol is modulated by a quadrature amplitude modulation scheme, the number of modulation bits is 1,2, 4, or 6, and the resource allocation optimization model is:
wherein Q is -1 (x) Is the inverse function of Q (x),
indicating whether the ith subcarrier is allocated to the mth power terminal.
10. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the method of any one of claims 1 to 5.
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