Dual-mode communication power distribution method and system

Abstract

The invention discloses a dual-mode communication power distribution method and a dual-mode communication power distribution system considering an asymmetric service threshold and a comprehensive utility, which can realize maximization of system channel capacity through a total dual-mode communication system, judgment of constraint conditions and constraint of whether maximum distribution power of a subcarrier is needed or not and optimization of an algorithm, and improve the performance of the system. The system performance is improved, the resource utilization efficiency is optimized, and the comprehensive effectiveness of the system is improved. Moreover, by setting different power distribution ratios of wireless communication and power line communication, the requirements of different dual-mode communication systems for power distribution of two communication modes can be met, and the power distribution ratio with the best optimization efficiency under the current condition can be given.

Description

Technical Field

[0001] The present invention relates to a power allocation method for a communication system, and in particular to a dual-mode communication power allocation method and system. Background Art

[0002] The dual-mode communication technology formed by the fusion of power line carrier communication technology and wireless communication technology will effectively solve the problems existing in the power line communication network. Most of the current resource allocation methods for dual-mode communication systems are average allocation or focus on one allocation according to business requirements. Patent CN116981040A Ma Xiaohui et al. applied the power allocation method to the dual-mode communication system, and achieved reasonable power allocation through an iterative power allocation process with the goal of maximizing the transmission rate under given transmission error requirements and power constraints. However, the scheme has limited effect on the overall power allocation optimization, and its algorithm also has room for improvement. Moreover, its power allocation method only judges and solves whether the preset power allocation conditions are met, and there is no way to achieve allocation under different business conditions.

[0003] Referring to the existing power allocation method for dual-mode communication system, there are generally the following defects:

[0004] (1) The existing technology only performs overall power allocation for the two communication modes in dual-mode communication, resulting in poor optimization effect. There is a lack of research on the dual-mode communication system using OFDM and the transmission power adjustment of different subcarriers after subcarrier division;

[0005] (2) The power allocation algorithm in the prior art only considers the constraint condition of the total transmission power of the system. When the system has no total transmission power requirement and only has a minimum limit on the channel capacity, the existing algorithm is not applicable. When the system resources are limited, or the system has multiple users and multiple services, it does not only serve one service, which requires constraints on certain subcarrier channels. The algorithm has room for improvement.

[0006] (3) Existing technical solutions cannot meet the needs of communication mode selection and business emphasis, such as the maximum power limit requirements for subcarrier channels in multi-user and multi-service systems, and the different requirements for power allocation for two communication modes in dual-mode communication systems in different working environments. Most existing technologies give priority to satisfying one communication mode before considering another mode. For example, first determine whether power line communication meets the conditions, and only use power line communication if the conditions are met, and then allocate the remaining power of the power line to wireless communication. It is impossible to achieve power allocation for using two modes of communication at the same time. Summary of the invention

[0007] Purpose of the invention: In view of the above problems, the present invention proposes a dual-mode communication power allocation method and system, which can not only meet the needs of different dual-mode communication systems for allocating power to the two communication modes, but also provide the power allocation ratio with the best optimization efficiency under current conditions.

[0008] Technical solution: The technical solution adopted by the present invention is a dual-mode communication power allocation method, comprising:

[0009] Calculate the channel gain ratio from the power line or wireless subcarrier channel fading coefficient and subcarrier channel noise;

[0010] Sort the channel gain ratios from small to large to obtain a set Gain;

[0011] Determine the water injection surface according to the set constraints;

[0012] The allocated power P of each subcarrier channel is determined by the water filling surface i ;

[0013] Sequentially determine the distribution power P in the set Gain i Is the power negative? If the power P i If there is no negative power in the output, the current allocated power P of each subcarrier channel is output. i , ending the power allocation process.

[0014] Among them, according to the set constraints, the water injection surface is determined, including:

[0015] Calculate the water injection area by taking the total transmission power limit as the constraint of power line communication or wireless communication; or

[0016] The water filling surface is calculated with the minimum channel capacity as the constraint of power line communication or wireless communication.

[0017] Sequentially determine the distribution power P in the set Gain i After determining whether the power is negative, the step further includes: if the judgment is yes, setting the currently judged allocated power to zero, removing the currently judged channel from the set Gain, updating the number of subcarriers to the number of subcarriers minus one, and returning to the step of determining the water filling surface.

[0018] Determine the allocated power P i After there is no negative power in the process, it also includes: determining the allocated power P i Whether the maximum allocated power limit of the subcarrier is met, if so, the allocated power P of each subcarrier channel is output i , ending the power allocation process.

[0019] If the judgment is no, then further determine whether the allocated power of the subcarrier channel is greater than the subcarrier maximum power setting value. If so, adjust the allocated power P of the channel.i The maximum power setting value P for the subcarrier of the channel max ; Then according to the adjusted channel allocation power P i , update the set value according to the set constraints, remove the currently determined channel from the set Gain, update the number of subcarriers to the number of subcarriers minus one, and return to the step of determining the water filling surface.

[0020] Updates the set value according to the set constraints, including:

[0021] Update the total transmit power by taking the total transmit power limit as a constraint for the power line communication or the wireless communication; or

[0022] The minimum channel capacity is limited as a constraint of the power line communication or the wireless communication, and the minimum channel capacity is updated.

[0023] The calculation formula of channel gain ratio is:

[0024]

[0025] In the formula, G i is the channel gain ratio, H i is the subcarrier channel fading coefficient, N i is the subcarrier channel noise.

[0026] The allocated power P of each subcarrier channel is determined by the water filling surface i , the calculation formula is:

[0027]

[0028] Where P i is the allocated power of the subcarrier channel, G i is the channel gain ratio, H i is the subcarrier channel fading coefficient, N i is the subcarrier channel noise.

[0029] Taking the total transmission power limit as the constraint of power line communication or wireless communication, the water injection surface is calculated as follows:

[0030]

[0031] Where WaterLevel represents the water injection surface, P total is the total transmission power, G i is the channel gain ratio, M is the number of subcarriers, and i is the subcarrier number.

[0032] Taking the minimum channel capacity as the constraint of power line communication or wireless communication, the water filling surface is calculated as follows:

[0033]

[0034] Where WaterLevel represents the water injection surface, B min is the minimum channel capacity, G i is the channel gain ratio, M is the number of subcarriers, and i is the subcarrier number.

[0035] Update the total transmit power, calculated as:

[0036]

[0037] In the formula, is the updated total transmit power, P total is the total transmission power, P i is the allocated power of the subcarrier channel.

[0038] Update the minimum channel capacity, the calculation formula is:

[0039]

[0040] Where, is the updated minimum channel capacity, B min is the minimum channel capacity, P i is the allocated power of the subcarrier channel, G i is the channel gain ratio.

[0041] The present invention also provides a dual-mode communication power distribution system, comprising:

[0042] A channel gain ratio calculation module is used to calculate the channel gain ratio based on the power line or wireless subcarrier channel fading coefficient and subcarrier channel noise;

[0043] A collection unit, which sorts the channel gain ratios from small to large to obtain a collection Gain;

[0044] The water injection surface calculation module determines the water injection surface according to the set constraints;

[0045] The power allocation module determines the allocated power P of each subcarrier channel by the water injection surface i ;

[0046] The first power allocation judgment module is used to sequentially judge the allocation power P in the set Gain. i Is the power negative? If the power P i If there is no negative power in the output, the current allocated power P of each subcarrier channel is output. i , ending the power allocation process.

[0047] Among them, according to the set constraints, the water injection surface is determined, including:

[0048] Calculate the water injection area by taking the total transmission power limit as the constraint of power line communication or wireless communication; or

[0049] The water filling surface is calculated with the minimum channel capacity as the constraint of power line communication or wireless communication.

[0050] Sequentially determine the distribution power P in the set Gain i After determining whether the power is negative, the method further includes: if the judgment is yes, setting the currently judged allocated power to zero, removing the currently judged channel from the set Gain, updating the number of subcarriers to the number of subcarriers minus one, and returning to the water injection surface calculation module to recalculate the water injection surface.

[0051] The system also includes a second power allocation judgment module for judging the allocation power P i After there is no negative power in the distribution power P i Whether the maximum allocated power limit of the subcarrier is met, if so, the allocated power P of each subcarrier channel is output i , ending the power allocation process.

[0052] If the judgment is no, then further determine whether the allocated power of the subcarrier channel is greater than the subcarrier maximum power setting value. If so, adjust the allocated power P of the channel. i The maximum power setting value P for the subcarrier of the channel max ; Then according to the adjusted channel allocation power P i , update the set value according to the set constraints, remove the currently determined channel from the set Gain, update the number of subcarriers to the number of subcarriers minus one, and return to the water filling surface calculation module to recalculate the water filling surface.

[0053] Updates the set value according to the set constraints, including:

[0054] Update the total transmit power by taking the total transmit power limit as a constraint for the power line communication or the wireless communication; or

[0055] The minimum channel capacity is limited as a constraint of the power line communication or the wireless communication, and the minimum channel capacity is updated.

[0056] The present invention proposes a dual-mode communication power distribution system, including a transmitting end and a receiving end, wherein the transmitting end and the receiving end are both provided with 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 dual-mode communication power distribution method is implemented.

[0057] The present invention proposes a computer device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the dual-mode communication power allocation method is implemented.

[0058] The present invention proposes a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the dual-mode communication power allocation method is implemented.

[0059] The present invention proposes a computer program product, including a computer program and / or instructions. When the computer program and / or instructions are executed by a processor, the dual-mode communication power allocation method is implemented.

[0060] Beneficial effects: In view of the fact that the existing technology for the study of dual-mode communication does not consider the orthogonal frequency division multiplexing (OFDM) technology used by both power line carrier communication and wireless communication, the present invention realizes the resource optimization allocation of the dual-mode communication system using OFDM by proposing a new water injection resource allocation algorithm. In addition, the present invention can meet the different business requirements of different systems and make improvements on the existing technology. In view of the problem that the constraint condition of the existing technology is only the total power, the present invention can simultaneously meet the business requirements of the total transmission power constraint, the minimum channel capacity constraint, and the maximum subcarrier allocation power constraint. It can better adapt to dual-mode communication systems with different business requirements, such as limited system resources, or the system has multiple users and multiple services. In view of the fact that the existing technology only focuses on a certain communication mode, through the optimization algorithm of the present invention, the subcarriers of the two communication modes divided by the dual-mode communication system can be optimized in total algorithm, and different allocation power ratios can be set according to the business requirements and then the algorithm optimization is used, which solves the problem that the existing technology scheme cannot meet the business requirements of communication mode selection and emphasis. The present invention can maximize the system channel capacity, improve system performance, optimize resource utilization efficiency, and improve the overall utility of the system by judging the constraint conditions and whether the constraint of the maximum allocated power of the subcarrier is required through the overall dual-mode communication system, and optimizing the algorithm. In addition, the present invention can not only meet the requirements of different dual-mode communication systems for power allocation of the two communication modes by setting different power allocation ratios of wireless communication and power line communication, but also provide the power allocation ratio with the best optimization efficiency under current conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 It is a dual-mode communication system architecture diagram;

[0062] Figure 2 It is a flow chart of the dual-mode communication power allocation method considering asymmetric service threshold and comprehensive utility according to the present invention;

[0063] Figure 3 It is a simulation diagram under the total transmission power constraint;

[0064] Figure 4 This is the simulation diagram of the minimum channel capacity constrained water filling algorithm;

[0065] Figure 5 It is a simulation diagram of the water filling algorithm with total transmit power and subcarrier total transmit power limit constraints;

[0066] Figure 6 This is the simulation diagram of the water filling algorithm constrained by the minimum channel capacity and the total subcarrier transmit power limit;

[0067] Figure 7 It is a water filling algorithm under the total power constraint of wireless channel;

[0068] Figure 8 It is a water filling algorithm under the total power constraint of the power line channel;

[0069] Fig. 9 It is a water injection algorithm under the constraint of the total power of the total subcarriers of wireless and power lines;

[0070] Fig.10 It is the system optimization efficiency diagram corresponding to the power allocation ratio of different communication modes under the condition that the power line has good quality relative to the wireless channel;

[0071] Fig.11 It is the system optimization efficiency diagram corresponding to the power allocation ratio of different communication modes under the condition that the quality of wireless relative power line channel is good;

[0072] Fig.12 It is the system optimization efficiency diagram corresponding to the power allocation ratio of different communication modes under the conditions of similar quality of power lines and wireless channels. DETAILED DESCRIPTION

[0073] The technical solution of the present invention is further described below in conjunction with the accompanying drawings and embodiments. The following terminology is used in the following embodiments to clarify the definitions.

[0074] (1) OFDM, or Orthogonal Frequency Division Multiplexing, is a technology that divides a channel into several orthogonal sub-channels, converts high-speed data signals into parallel low-speed sub-data streams, and modulates them for transmission on each sub-channel.

[0075] (3) Additive Gaussian white noise: It is the most common type of noise and exists in various transmission media. It is a random fluctuation process of the signal around the mean value, with a mean of 0 and a variance equal to the noise power.

[0076] (4) Water injection algorithm: The water injection algorithm is an ideal adaptive resource allocation algorithm that maximizes the channel capacity by adjusting the transmit power of different subcarrier channels. Its essence is a constrained function optimal solution problem, and the objective function is the channel capacity. The principle is to adaptively allocate the transmit power according to the channel conditions. For subcarrier channels with larger channel gain ratios, the better the channel quality, the water injection algorithm will allocate more bits and power to them, thereby maximizing the channel capacity.

[0077] (5) Channel gain ratio: It is the square of the absolute value of the channel transfer function divided by the channel noise. The larger the channel gain ratio, the smaller the channel attenuation or the smaller the channel noise, and the better the channel quality. The smaller the channel gain ratio, the greater the channel attenuation or the greater the channel noise, and the worse the channel quality.

[0078] (6) Nakagami distribution: Nakagami distribution is a statistical model used to describe signal fading in wireless communications. It can simulate a variety of fading environments, including Rayleigh fading and Rician fading. Nakagami distribution describes the severity of fading through the parameter m. The larger the value of m, the better the signal stability; conversely, the smaller the value of m, the more severe the signal fading.

[0079] Example 1

[0080] The dual-mode communication power allocation method of the present invention is applied to a dual-mode communication system. Figure 1 The terminal uses both wireless and power line channels for data transmission. Assuming that the total system power is P and the total power of power line communication is P plc , the total power of wireless communication is P rf , that is, P = P plc +P rf Both power line and wireless communication use OFDM modulation technology, with a total bandwidth of BHz, a subcarrier spacing of △f, and the number of subcarriers in both channels is assumed to be M.

[0081] Due to the different conditions of the two channels, different service thresholds, total transmission power and target minimum channel capacity can be set for the two communications. For example, both the power line and wireless communication modes use the total transmission power constraint for optimization allocation, and the resulting power allocation scheme can maximize the channel capacity of the current constraint; or both the power line and wireless communication modes use the minimum channel capacity constraint for optimization allocation, and the resulting power allocation scheme can minimize the total power under the target minimum channel capacity requirement; or the power line and wireless communication modes can each use the total transmission power constraint and the minimum channel capacity constraint. The optimal optimization allocation scheme under the threshold requirements that meet different business needs can be obtained.

[0082] Next, we will introduce the channel model and parameter assumptions of the dual-mode communication system.

[0083] (1) Channel model and noise of dual-mode communication system.

[0084] The noise of the wireless channel n RF is additive Gaussian white noise, satisfying the expected value of 0 and the variance is The normal distribution of is the wireless channel noise power.

[0085] Wireless channel fading coefficient H RF Satisfies Nakagami distribution. m is the distribution parameter of Nakagami, and m≥0.5. The characteristic of Nakagami distribution is that the degree of fading can be controlled by adjusting m. And the square of the random variable of Nakagami distribution obeys the gamma distribution with parameters m and Ω / m. Ω=E(|H RF | 2 ) represents the mean value of the fading amplitude, E(|H RF | 2 ) represents the energy of the calculated signal. In order to ensure that fading does not change the average power of the received signal, Ω is normalized, that is, Ω = 1. It is easy to know that |H RF | 2 Satisfies the gamma distribution G(m, Ω / m).

[0086] Additive noise in power line channel PLC The Bernoulli-Gaussian noise model is used. The model consists of impulse noise and background noise. The impulse noise satisfies the expected value of 0 and the variance is The normal distribution of background noise satisfies the expected value of 0 and the variance is The normal distribution of and are the power of impulse noise and background noise respectively. According to the binary Bernoulli process, there are n PLC The probability density function of is as follows:

[0087]

[0088] Where p is the probability of the occurrence of impulse noise. The probability of the presence of background noise only without impulse noise is p0=1-p; the probability of the presence of impulse noise, that is, the simultaneous existence of background noise and impulse noise is p1=p.

[0089] The fading coefficient H of the power line channel PLC Using the multipath model built from top to bottom, the expression is:

[0090]

[0091] Where f is the frequency, K is the number of paths, s is the path number, g is the path number, sis the weighting factor of the sth path, a0 and a1 are the coefficients of the attenuation factor, k is the exponent of the attenuation factor, and d s is the path length of the sth path, ε r is the dielectric constant of the electric line, and c0 is the speed of light.

[0092] The dual-mode communication power allocation method described in the present invention uses a water injection algorithm, which is an ideal adaptive resource allocation algorithm that relies on adjusting the transmission power of different subcarrier channels to maximize the channel capacity.

[0093] The essence of optimization allocation is to find the optimal solution of a constrained function. The objective function is the channel capacity. For an OFDM system, the number of subcarriers is M, the subcarrier spacing is Δf, and the subcarrier number is i.

[0094] The channel capacity of the ith subcarrier is:

[0095]

[0096] In the formula, H i is the frequency response of the ith subcarrier channel, P i is the allocated power of the ith subcarrier channel, N i is the noise power of the ith subcarrier channel.

[0097] When the total transmission power remains unchanged, that is, the sum of the power allocated to each subcarrier P total Under the same conditions, the system capacity can be maximized by adjusting the allocated power. The optimal allocation can be expressed as follows:

[0098]

[0099] The constraints are:

[0100]

[0101] Using the Lagrange multiplier method, a new function is constructed and the maximum value is obtained, where λ is the Lagrange multiplier.

[0102]

[0103] P i , λ, respectively, and set them equal to zero, the condition for the maximum value is:

[0104]

[0105] Therefore, the optimal solution for allocating power to each subcarrier channel is:

[0106]

[0107] Combining equation (5) and equation (8), we can get:

[0108]

[0109] There are many ways to solve the water injection algorithm. The derivation of nonlinear programming requires high computing power. Here, an iterative solution is used to determine the water injection surface multiple times to achieve the optimal solution. For the sake of simplicity, the channel gain ratio is used as an intermediate variable, and its expression is:

[0110]

[0111] Here, i is the path number.

[0112] The water injection level 1 / λ*ln2 introduces a variable WaterLevel to represent it, and the formula (9) for calculating the water injection level changes to:

[0113]

[0114] The above algorithm is a classic water filling algorithm, which takes the total transmission power as the constraint and the channel capacity as the objective function to achieve the purpose of maximizing the channel capacity. However, in some systems without power constraints, the requirement is to achieve a certain minimum channel capacity. For this, the present invention uses an improved water filling algorithm, which takes the minimum channel capacity B as the constraint. min As a constraint, the transmit power is taken as the objective function to achieve the purpose of minimizing the transmit power.

[0115] Its constraint condition is replaced by formula (5) in the above algorithm as follows:

[0116]

[0117] Using the Lagrange multiplier method, a new function is constructed and the maximum value is obtained, where λ is the Lagrange multiplier.

[0118]

[0119] The solution is:

[0120]

[0121] Therefore, the optimal solution for allocating power to each subcarrier channel is:

[0122]

[0123] Among them, the change of water injection surface is λ.

[0124] Based on the intermediate variable channel gain ratio in formula (10) and the water injection level variable WaterLevel, the water injection level calculation formula with the minimum channel capacity as the constraint is obtained according to formula (14):

[0125]

[0126] Taking into account the actual situation, there are some dual-mode communication systems with special business requirements, such as multi-user and multi-service systems, which have maximum restrictions on the power of the sub-carrier channels after OFDM division, and the dual-mode communication systems in different working environments have different requirements for the power allocation of the two communication modes. For example, in some cases, in order to ensure the quality of wireless communication, the power allocated for power line communication should not be too high to prevent electromagnetic compatibility and other impacts. In addition, in many cases such as multi-user, existing business allocation, business priority allocation, etc., channel resources have been allocated. At this time, the constraint of the maximum allocated power of the sub-carrier needs to be adapted, and it cannot be allocated higher than the set value P max The power of is constrained by:

[0127] 0≤P i ≤P max (17)

[0128] Under this new constraint, by adding a judgment, the subcarrier channels that do not meet the conditions in the allocation method obtained by the above algorithm will be processed, and the part higher than the set value will be taken back into the power pool and then allocated, finally realizing an allocation method in which all channels meet the constraint conditions.

[0129] The specific method is as follows:

[0130] If the subcarrier is allocated power P i Greater than the subcarrier maximum power setting value P max , let the channel allocate power P i The maximum power setting value P for the subcarrier max , as follows:

[0131] P i =P max (18)

[0132] If the total transmit power constraint is used, the total transmit power after the power pool is withdrawn will change accordingly, as shown in the following formula:

[0133] P total =P total -P i (19)

[0134] If it is a minimum channel capacity constraint, the minimum channel capacity after the power pool is recovered will change accordingly, as shown in the following formula:

[0135] B min =B min -log2(1+P i ·G i) (20)

[0136] All steps are shown below, the flow chart is as follows Figure 2 As shown:

[0137] (1) Input power line subcarrier channel fading coefficient H i-PLC , wireless subcarrier channel fading coefficient H i-RF , power line subcarrier channel noise N i-PLC , wireless subcarrier channel noise N i-RF , total transmission power P total , minimum channel capacity B min .

[0138] (2) The fading coefficient H of the power line and wireless subcarrier channels i and subcarrier channel noise N i , the channel gain ratio G is calculated by formula (10) i .

[0139] (3) The channel gain ratio G i Sort from small to large and put them into the set Gain.

[0140] (4) Determine the communication service type. If it is power line, jump to step (5). If it is wireless, jump to step (6). The communication service type can be placed in the previous step.

[0141] (5) Determine the constrained service type of the power line communication. If it is a total transmission power constraint, jump to step (7); if it is a minimum channel capacity constraint, jump to step (8).

[0142] (6) Determine the constrained service type of wireless communication. If it is a total transmit power constraint, jump to step (7); if it is a minimum channel capacity constraint, jump to step (8).

[0143] (7) Calculate the water injection level WaterLevel according to the set Gain using formula (11).

[0144] (8) Calculate the water injection level WaterLevel according to the set Gain using formula (16).

[0145] (9) The allocated power P of each subcarrier channel is determined by the water level WaterLevel i .

[0146] (10) Determine whether there is negative power in the allocated power. If yes, jump to step (11); if not, jump to step (14).

[0147] (11) Let the allocated power of the negative power channel be zero.

[0148] (12) Remove the channel from the Gain set.

[0149] (13) The number of subcarriers M minus one.

[0150] (14) Determine whether the subcarrier maximum power allocation constraint is met. If so, jump to step (20); otherwise, jump to step (15).

[0151] (15) Find the subcarrier allocation power P i Greater than the subcarrier maximum power setting value P max subcarrier channels.

[0152] (16) Let the channel allocation power P i The maximum power setting value P for the subcarrier max .

[0153] (17) Determine the type of constrained service. If it is a total transmit power constraint, jump to step (18); if it is a minimum channel capacity constraint, jump to step (19).

[0154] (18) Adjust the total transmit power according to formula (19) and jump to step (12).

[0155] (19) Adjust the minimum channel capacity according to formula (20) and jump to step (12).

[0156] (20) Obtain the best subcarrier power allocation result under the current conditions and end the power allocation process.

[0157] The first dual-mode communication power allocation method of the present invention comprises steps 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, and 20. According to a given maximum power limit, the optimal allocation under current conditions is obtained without a subcarrier maximum power limit. The channel capacity of the allocation scheme obtained in theory is the largest.

[0158] Example 2

[0159] The second dual-mode communication power allocation method of the present invention comprises steps 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, and 20. According to the given minimum channel capacity (target channel capacity) to be achieved, the optimal allocation under the current conditions is obtained without the maximum power limit of the subcarrier. The total transmission power of the solution obtained in theory is the minimum.

[0160] Example 3

[0161] The present invention also proposes a third dual-mode communication power allocation method, and the specific process is shown in the figure, including steps 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, and 20. Steps 14, 15, 16, 17, and 18 are added on the basis of the first dual-mode communication power allocation method, and the maximum allocated power limit of the subcarrier is added. Due to the newly added limit, the channel capacity of the scheme obtained by the third algorithm is slightly smaller than that of the first algorithm, but the optimal allocation is achieved under the condition of meeting the service requirements.

[0162] Example 4

[0163] The present invention also proposes a fourth dual-mode communication power allocation method, including steps 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19, and 20. Steps 14, 15, 16, 17, and 19 are added on the basis of the second algorithm, and the maximum allocation power limit of the subcarrier is added. Due to the newly added limit, the total transmission power obtained by the fourth algorithm is slightly greater than that of the second algorithm, but still achieves the optimal allocation under the condition of meeting the service requirements.

[0164] Example 5

[0165] Based on the two communication modes of dual-mode communication, a fifth dual-mode communication power allocation method is proposed, including: calculating the total transmission power of power line communication and wireless communication according to the set power allocation ratio of power line communication and wireless communication; obtaining the minimum channel capacity limit of power line communication and wireless communication; respectively for power line communication and wireless communication, by the dual-mode communication power allocation method described in claim 3 or 4, calculating the allocation power P of each subcarrier channel i .

[0166] Example 6

[0167] Based on the two communication modes of dual-mode communication, a sixth dual-mode communication power allocation method is proposed, including: calculating the total transmission power of power line communication and wireless communication according to the ratio of the power allocation of power line communication and wireless communication; obtaining the minimum channel capacity limit of power line communication and wireless communication; respectively for power line communication and wireless communication, by the dual-mode communication power allocation method described in claim 3 or 4, calculating the allocated power P of each subcarrier channel i ; Traverse the power allocation ratio of power line communication and wireless communication to obtain the power allocation ratio with the best system optimization efficiency.

[0168] Example 7

[0169] The present invention proposes a dual-mode communication power distribution system, including a transmitting end and a receiving end, wherein the transmitting end and the receiving end are both provided with 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, any one of the first to sixth dual-mode communication power distribution methods is implemented.

[0170] Example 8

[0171] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned dual-mode communication power allocation method when executing the computer program.

[0172] Example 9

[0173] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the dual-mode communication power allocation method described above is implemented.

[0174] Example 10

[0175] In one embodiment, a computer program product is provided, comprising a computer program / instruction, which implements the dual-mode communication power allocation method when executed by a processor.

[0176] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0177] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0178] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0179] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0180] Simulation

[0181] 1. Dual-mode communication power allocation method under total transmission power constraint:

[0182] like Figure 3 As shown, the yellow part at the bottom is the inverse of the channel gain ratio. The larger the yellow part, the worse the channel condition. The blue part above is the optimized sub-channel allocation power. The top horizontal line is the water filling line. The algorithm allocates less power to channels with poor channel conditions and more power to channels with good channel conditions, thereby maximizing the channel capacity.

[0183] 2. Dual-mode communication power allocation method under minimum channel capacity constraint:

[0184] like Figure 4 As shown, under the condition of a given target capacity, the algorithm prioritizes allocating channels with good channel conditions according to the capacity that needs to be achieved until the target capacity is reached, thereby achieving power minimization when the target capacity is reached.

[0185] 3. Dual-mode communication power allocation method considering asymmetric service threshold and comprehensive utility under the constraints of total transmit power and subcarrier total transmit power limit:

[0186] like Figure 5 As shown, based on the optimization of the first algorithm, the maximum allocated power of the subcarrier is limited, and the maximum allocated power of the subcarrier cannot exceed the set value. The obtained allocation result is also the optimal allocation under the current situation.

[0187] 4. Dual-mode communication power allocation method considering asymmetric service threshold and comprehensive utility under the constraints of minimum channel capacity and subcarrier total transmission power limit:

[0188] like Figure 6 As shown in FIG. 1 , based on the optimization of the second algorithm, the maximum allocated power of the subcarrier is limited, which also realizes the optimal allocation of the target capacity under the constraint of satisfying the total transmission power limit of the subcarrier.

[0189] The above algorithm is simulated based on the constructed dual-mode communication system.

[0190] Under the system parameters of B = 20MHz and M = 128 subcarriers, the simulation results are as follows: Figure 7 , Figure 8 and Fig. 9 shown.

[0191] Depend on Figures 7 to 9 From the simulation results, we can see that different communication systems have obtained corresponding optimization after using the optimization algorithm, and the optimization efficiency is compared with the case where the transmission power is evenly distributed to each subcarrier. In addition, the simulation efficiency will fluctuate due to the randomness of the system noise, but overall it has achieved an optimization effect, and the optimization effect is better in the case of high noise and low transmission power.

[0192] At the same time, in order to meet the different dual-mode communication systems' requirements for power allocation to the two communication modes, the power allocation ratio of wireless communication and power line communication is set, and the algorithm optimization of the total transmission power is performed separately to obtain the overall system optimization efficiency. On the one hand, it can meet the set business needs, and on the other hand, it can give the power allocation ratio with the best optimization efficiency under the current conditions. The simulation results Fig.10 , Fig.11 and Fig.12 shown.

[0193] Depend on Figures 10-12 From the simulation results, it can be seen that different allocation ratios directly affect the total optimization efficiency of the system. When the quality of the two communication channels changes, the optimal allocation ratio is also different. When the quality of the power line channel is better than that of the wireless channel, the smaller the ratio of the power allocation of the wireless channel to the power line channel, the higher the system optimization efficiency. When the quality of the wireless channel is better than that of the power line channel, the larger the ratio of the power allocation of the wireless channel to the power line channel, the higher the system optimization efficiency. When the quality of the two channels is similar, the maximum system optimization efficiency can be achieved when the ratio is 1:1. By setting different allocation power ratios, the allocation power of the two communication modes when the optimization efficiency is the highest can be solved, and different ratios can be flexibly set to meet the business needs of specific systems.

Claims

1. A dual-mode communication power allocation method, characterized in that: include: Calculate the channel gain ratio from the power line or wireless subcarrier channel fading coefficient and subcarrier channel noise; Sort the channel gain ratios from small to large to obtain a set Gain; Determine the water injection surface according to the set constraints; The allocated power P of each subcarrier channel is determined by the water filling surface i ; Sequentially determine the distribution power P in the set Gain i Is the power negative? If the power P i If there is no negative power in the output, the current allocated power P of each subcarrier channel is output. i , ending the power allocation process.

2. The dual-mode communication power allocation method according to claim 1, characterized in that: Determine the water injection surface according to the set constraints, including: Calculate the water injection area by taking the total transmission power limit as the constraint of power line communication or wireless communication; or The water filling surface is calculated with the minimum channel capacity as the constraint of power line communication or wireless communication.

3. The dual-mode communication power allocation method according to claim 1 or 2, characterized in that: Sequentially determine the distribution power P in the set Gain i After determining whether the power is negative, the step further includes: if the judgment is yes, setting the currently judged allocated power to zero, removing the currently judged channel from the set Gain, updating the number of subcarriers to the number of subcarriers minus one, and returning to the step of determining the water filling surface.

4. The dual-mode communication power allocation method according to claim 1, characterized in that: Determine the allocated power P i After there is no negative power in the process, it also includes: determining the allocated power P i Whether the maximum subcarrier allocation power limit is met, if so, output the current allocation power P of each subcarrier channel i , ending the power allocation process.

5. The dual-mode communication power allocation method according to claim 4, characterized in that: If the judgment is no, then further determine whether the allocated power of the subcarrier channel is greater than the subcarrier maximum power setting value. If so, adjust the allocated power P of the channel. i The maximum power setting value P for the subcarrier of the channel max ; Then according to the adjusted channel allocation power P i , update the set value according to the set constraints, remove the currently determined channel from the set Gain, update the number of subcarriers to the number of subcarriers minus one, and return to the step of determining the water filling surface.

6. The dual-mode communication power allocation method according to claim 5, characterized in that: Updates the set value according to the set constraints, including: Update the total transmit power by taking the total transmit power limit as a constraint for the power line communication or the wireless communication; or The minimum channel capacity is limited as a constraint of the power line communication or the wireless communication, and the minimum channel capacity is updated.

7. The dual-mode communication power allocation method according to claim 1, characterized in that: The calculation formula of channel gain ratio is: In the formula, G i is the channel gain ratio, H i is the subcarrier channel fading coefficient, N i is the subcarrier channel noise.

8. The dual-mode communication power allocation method according to claim 2, characterized in that: Taking the total transmission power limit as the constraint of power line communication or wireless communication, the water injection surface is calculated as follows: Where WaterLevel represents the water injection surface, P total is the total transmission power, G i is the channel gain ratio, M is the number of subcarriers, and i is the subcarrier number.

9. The dual-mode communication power allocation method according to claim 2, characterized in that: Taking the minimum channel capacity as the constraint of power line communication or wireless communication, the water filling surface is calculated as follows: In the formula, WaterLevel represents the water injection surface, B min is the minimum channel capacity, G i is the channel gain ratio, M is the number of subcarriers, and i is the subcarrier number.

10. The dual-mode communication power allocation method according to claim 1, characterized in that: The allocated power P of each subcarrier channel is determined by the water filling surface i , the calculation formula is: Where P i is the allocated power of the subcarrier channel, G i is the channel gain ratio.

11. The dual-mode communication power allocation method according to claim 6, characterized in that: Update the total transmit power, calculated as: In the formula, is the updated total transmit power, P total is the total transmission power, P i is the allocated power of the subcarrier channel.

12. The dual-mode communication power allocation method according to claim 6, characterized in that: Update the minimum channel capacity, the calculation formula is: Where, is the updated minimum channel capacity, B min is the minimum channel capacity, P i is the allocated power of the subcarrier channel, G i is the channel gain ratio.

13. A dual-mode communication power distribution system, comprising: A channel gain ratio calculation module is used to calculate the channel gain ratio based on the power line or wireless subcarrier channel fading coefficient and subcarrier channel noise; A collection unit, which sorts the channel gain ratios from small to large to obtain a collection Gain; The water injection surface calculation module determines the water injection surface according to the set constraints; The power allocation module determines the allocated power P of each subcarrier channel by the water injection surface i ; The first power allocation judgment module is used to sequentially judge the allocation power P in the set Gain. i Is the power negative? If the power P i If there is no negative power in the output, the current allocated power P of each subcarrier channel is output. i , ending the power allocation process.

14. The dual-mode communication power distribution system according to claim 13, characterized in that: Determine the water injection surface according to the set constraints, including: Calculate the water injection area by taking the total transmission power limit as the constraint of power line communication or wireless communication; or The water filling surface is calculated with the minimum channel capacity as the constraint of power line communication or wireless communication.

15. The dual-mode communication power distribution system according to claim 13 or 14, characterized in that: Sequentially determine the distribution power P in the set Gain i After determining whether the power is negative, the method further includes: if the judgment is yes, setting the currently judged allocated power to zero, removing the currently judged channel from the set Gain, updating the number of subcarriers to the number of subcarriers minus one, and returning to the water injection surface calculation module to recalculate the water injection surface.

16. The dual-mode communication power distribution system according to claim 13, characterized in that: The system also includes a second power allocation judgment module for judging the allocation power P i After there is no negative power in the distribution power P i Whether the maximum subcarrier allocation power limit is met, if so, output the current allocation power P of each subcarrier channel i , ending the power allocation process.

17. The dual-mode communication power distribution system according to claim 16, characterized in that: If the judgment is no, then further determine whether the allocated power of the subcarrier channel is greater than the subcarrier maximum power setting value. If so, adjust the allocated power P of the channel. i The maximum power setting value P for the subcarrier of the channel max ; Then according to the adjusted channel allocation power P i , update the set value according to the set constraints, remove the currently determined channel from the set Gain, update the number of subcarriers to the number of subcarriers minus one, and return to the water filling surface calculation module to recalculate the water filling surface.

18. The dual-mode communication power distribution system according to claim 17, characterized in that: Updates the set value according to the set constraints, including: Update the total transmit power by taking the total transmit power limit as a constraint for the power line communication or the wireless communication; or The minimum channel capacity is limited as a constraint of the power line communication or the wireless communication, and the minimum channel capacity is updated.

19. A dual-mode communication power distribution system, comprising a transmitting end and a receiving end, each of which is provided with a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the dual-mode communication power allocation method according to any one of claims 1 to 12 is implemented.

20. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the dual-mode communication power allocation method according to any one of claims 1 to 12 is implemented.

21. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the dual-mode communication power allocation method according to any one of claims 1 to 12 is implemented.

22. A computer program product comprising a computer program and / or instructions, characterized in that When the computer program and / or instruction is executed by a processor, the dual-mode communication power allocation method according to any one of claims 1 to 12 is implemented.

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