An optimization and adjustment method for processing communication payload parameter configuration, and a medium

Abstract

The present invention relates to the field of satellite communication technology, and particularly to an optimization and adjustment method for processing communication payload parameter configuration, and a medium; the optimization method includes: based on the terminal transmitting signaling information to the satellite, the satellite determines the terminal transmission power and the corresponding satellite sub-channel gain, and each parameter configuration of the transponder operating point, and forwards each parameter configuration to the gateway station; the gateway station initially optimizes each parameter configuration, generates a sub-band routing information table, and sends it to the satellite; the satellite adjusts the sub-channel gain according to each parameter configuration and the sub-band routing information table after initial optimization, and sends signaling information to the terminal, and returns the updated information to the satellite after adjusting the transmission power; the satellite performs signal exchange by combining the updated information with the sub-band routing information table, sends the exchanged signal to the destination terminal, waits for the generation of a completion instruction and sends it to the satellite, and the satellite forwards the completion instruction to the gateway station to complete the optimization of the communication payload parameter configuration.

Description

Technical Field

[0001] The present invention relates to the technical field of satellite communication, and specifically relates to an optimization and adjustment method for processing communication payload parameter configuration, and a medium. Background Art

[0002] With the continuous progress of satellite payload technology, on-board switching technology has become one of the core technologies for building large-capacity and high-performance satellite communication systems; currently, according to the type of switching technology adopted, satellite payloads can be divided into bent pipe type, processing type, and flexible transponder type payloads. Among them, due to its technical limitations, the bent pipe type payload is difficult to achieve fine management and allocation of bandwidth; the processing type payload has a dependence on ground technical standards or communication protocols; in contrast, the flexible transponder payload combines the advantages of the first two payloads, supports more flexible signal switching, and can independently control the gain of each sub-channel, thereby improving the power efficiency of the system and reducing non-linear effects.

[0003] Currently, there have been some related studies on the optimization of digital transparent processing payload parameter configuration; the Lagrange multiplier optimization algorithm solves the gain of each channel on the premise of minimizing the output power of the transponder, and a subsequent improved solution strategy has been developed. However, these existing studies only focus on reducing the uplink equivalent isotropically radiated power (EIRP) of each ground terminal by minimizing the output power of the transponder, and do not fully consider the problem of transponder power utilization rate; although the direct calculation method reduces the amount of calculation, it sets the transmission power of the sending end as the maximum value that can be provided, resulting in poor performance in some scenarios; in addition, the variable neighborhood search algorithm solves the optimization problem based on the max-min model, effectively improving the power utilization rate of the transponder. This algorithm performs optimally in terms of performance, but lacks an in-depth discussion of the overall process. When the number of terminals or channel conditions change, this algorithm only re-optimizes the parameters of all terminals in the system, and the optimization process takes time, which will cause communication interruptions for terminals with normal communication status, thereby affecting their communication experience. Summary of the Invention

[0004] In order to solve the technical problems that the existing optimization of digital transparent processing payload parameter configuration ignores the transponder utilization rate, has poor performance in specific scenario applications, low optimization efficiency, and may cause interruptions to originally normal communication terminals during the adjustment process, affecting the communication experience, the purpose of the present invention is to provide an optimization method for processing communication payload parameter configuration, and the specific technical solution adopted is as follows:

[0005] Based on the terminal transmitting signaling information to the satellite, the satellite determines the terminal transmission power and the corresponding satellite sub-channel gain, as well as each parameter configuration of the transponder operating point, and forwards each parameter configuration to the gateway station;

[0006] The gateway station initially optimizes each parameter configuration, generates a sub-band routing information table, and sends each initially optimized parameter configuration and the sub-band routing information table to the satellite;

[0007] The satellite adjusts the sub-channel gain according to each initially optimized parameter configuration and the sub-band routing information table, sends signaling information to the terminal, and after adjusting the transmission power, returns the updated information to the satellite;

[0008] The satellite performs signal exchange through the updated information in combination with the sub-band routing information table, sends the exchanged signal to the destination terminal, waits for the completion instruction to be generated and then sends it to the satellite, and the satellite forwards the completion instruction to the gateway station to complete the optimization of the communication payload parameter configuration.

[0009] Preferably, based on the terminal transmitting signaling information to the satellite, it includes:

[0010] The signaling information includes rain fade dynamic change, link transmission difference, service demand difference, and transmission regime;

[0011] Defining the rain fade dynamic change and the link transmission difference as the uplink and downlink losses, the corresponding logical expressions are:

[0012] a l = Lup l,path + Lup l,rain + Lup l,misc

[0013] b l = Ldn l,path + Ldn l,rain + Ldn l,misc

[0014] Wherein, a l , b l respectively represent the uplink loss and the downlink loss of the l-th input port of the transponder; Lup l,path , Ldn l,path respectively represent the uplink space free propagation loss and the downlink space free propagation loss of the l-th input port of the transponder; Lup l,rain , Ldn l,rain respectively represent the uplink rain fade and the downlink rain fade of the l-th input port of the transponder; Lup l,misc , Ldn l,misc respectively represent the uplink spurious loss and the downlink spurious loss of the l-th input port of the transponder;

[0015] Define the service requirement difference as the EIRP values of the uplink and downlink terminals;

[0016] Define the transmission regime as the carrier-to-noise ratio and the sub-channel gain. Among them, the calculation formula corresponding to the carrier-to-noise ratio is:

[0017]

[0018] Among them, c i represents the carrier-to-noise ratio of the i-th link; E b represents the energy per unit bit; N0 represents the power spectral density of noise; R b represents the bit rate of the link transmission.

[0019] Preferably, the satellite determines the terminal transmit power, the corresponding satellite sub-channel gain, and each parameter configuration of the transponder operating point, and forwards each parameter configuration to the gateway station, including:

[0020] Determine the operating point of the transponder, and the corresponding calculation formula is:

[0021]

[0022] Among them, z represents the operating point of the transponder; P represents the saturation power of the transponder; M represents the total number of links; x i represents the power at the input of the i-th link to the transponder; G n represents the n-th sub-channel gain; n(i) represents the sub-channel n allocated to the link i; k represents a constant; T s represents the input equivalent noise temperature of the transponder; kT s represents the noise power spectral density of the transponder; N represents the total number of sub-channels; B n represents the bandwidth of the n-th sub-channel;

[0023] Determine the terminal transmit power and the corresponding satellite sub-channel gain, and the corresponding calculation formula is:

[0024] y i =x i G n(i) / g(z)

[0025] g(z)=1+ρ g z

[0026] Among them, y i represents the output power of the link i passing through the transponder; g(z) represents the transponder non-linear gain compression function; ρ g represents the small-signal compression factor.

[0027] Preferably, the gateway station initially optimizes each parameter configuration, generates a sub-band routing information table, and sends each initially optimized parameter configuration and the sub-band routing information table to the satellite, including:

[0028] Introduce the standard deviation and the mean value, and construct an objective function in combination with each parameter configuration;

[0029] Based on the objective function, optimize the objective function by the logarithmic barrier method and the penalty function method, and use the variable neighborhood search algorithm to solve it to generate a sub-band routing information table.

[0030] Preferably, construct an objective function, and the corresponding calculation formula is:

[0031] min std(y)+mean(y)

[0032]

[0033] h(z) = ρ h / (1 + 1 / z) 3

[0034]

[0035] Among them, std(y) represents the standard deviation of the output power of all links; mean(y) represents the mean value of the output power of all links; M represents the total number of links; y i represents the output power of link i passing through the repeater; c i represents the carrier-to-noise ratio of the i-th link; b i represents the downlink loss of the i-th link; q i (x, G, z) represents the spectral density of the noise and interference of the i-th link, including the uplink noise, adjacent channel interference, intermodulation components, and the downlink noise power spectral density; k represents a constant; T s represents the equivalent input noise temperature of the repeater; G n(i) represents the gain of the n-th subchannel allocated to link i; g(z) represents the non-linear gain compression function of the repeater; Δ ij represents the element in the spectral aliasing matrix generated by signals i and j in the repeater; h(z) represents the intermodulation characteristic function; ρ h represents the intermodulation spectral density adjustment factor when the high-power amplifier is saturated; B represents the subchannel bandwidth of the repeater; T i represents the equivalent input noise temperature of the terminal; z represents the operating point of the repeater; P represents the saturation power of the repeater; P out represents the total output power of the repeater.

[0036] Preferably, based on the objective function, optimize the objective function by the logarithmic barrier method and the penalty function method, and the corresponding calculation formula is:

[0037]

[0038] Among them, α represents the obstacle parameter; β represents the penalty function.

[0039] To solve the above problems, the present application further proposes: An adjustment method for processing communication payload parameter configuration, which is used to dynamically adjust the optimized communication payload parameter configuration completed by an optimization method for processing communication payload parameter configuration as described in any one of the foregoing items. The method includes:

[0040] Based on the optimized communication payload parameter configuration, dynamically adjust the corresponding terminals that cannot communicate normally according to whether the number of terminals or the channel conditions change.

[0041] If the number of terminals decreases, the terminals that have always existed keep the communication payload parameter configuration unchanged, disconnect the decreased terminals, recycle the occupied resources, and search for the working point of the transponder.

[0042] If the number of terminals increases, the terminals that have always existed keep the communication payload parameter configuration unchanged, and search for the terminal transmit power, the corresponding satellite sub-channel gain, and each parameter configuration of the transponder working point.

[0043] If the channel conditions of the terminals change, the hinge relationship of all terminals remains unchanged, the transmit power of the unaffected terminals and the corresponding satellite sub-channel gain remain unchanged, and the transmit power of the interrupted terminals and the corresponding satellite sub-channel gain, as well as all transponder working points, are adjusted.

[0044] To solve the above problems, the present application also proposes: A computer storage medium, including 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 steps of the method as described in any one of the foregoing items are implemented.

[0045] The present invention has the following beneficial effects:

[0046] 1. First, perform an initial search and optimization of parameters for ground terminals. The variable neighborhood search algorithm is adopted. In the objective function, the standard deviation and the average value are introduced. This not only considers the difference in the carrier power of each transponder output end, solves the problem of strong signal suppressing weak signal, but also considers minimizing the total output power as much as possible under the premise of meeting the constraint conditions, improving power utilization rate; in the constraint conditions, in addition to considering the carrier-to-noise ratio constraint at the receiving end and the high-power amplifier nonlinear effect constraint, the transponder power constraint is also considered, that is, the total output power of each link does not exceed the transponder saturation power, so as to meet the communication requirements of all terminals, reduce power resource waste, and then complete the optimization of the communication payload parameter configuration, realize the research on the overall communication process, and then upload the result to the satellite to ensure the normal operation of the terminals.

[0047] 2. In the prior art, when the number of terminals or the channel conditions of terminals change, usually the transmission power of all terminals, the sub-channel gains occupied, and the transponder operating point are searched or calculated again. However, searching, calculating, and adjusting all take time, which may cause temporary interruption of communication for other normally communicating terminals and affect their communication experience. Therefore, with the optimized communication parameter configuration, according to the specific communication changes, only the terminals that need to be adjusted can be adjusted individually, and other terminals can still maintain normal communication, ensuring the communication experience of other terminals to expand the scenario adaptability.

[0048] 3. The present invention also provides a computer storage medium for implementing the foregoing optimized method for processing communication payload parameter configuration and the adjustment method for processing communication payload parameter configuration. This medium has the same beneficial effects as the foregoing optimized and adjusted method for processing communication payload parameter configuration, and will not be elaborated herein. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0050] Figure 1 Multi-dimensional mathematical model diagram of a digital transparent processing transponder for an optimized method for processing communication payload parameter configuration provided by an embodiment of the present invention;

[0051] Figure 2 Strategy diagram for reducing the number of terminals in an adjustment method for processing communication payload parameter configuration provided by an embodiment of the present invention;

[0052] Figure 3 Strategy diagram for increasing the number of terminals in an adjustment method for processing communication payload parameter configuration provided by an embodiment of the present invention;

[0053] Figure 4 Strategy diagram for the change of channel conditions of some terminals in an adjustment method for processing communication payload parameter configuration provided by an embodiment of the present invention;

[0054] Figure 5 Comparison diagram of terminal transmission power before and after optimization in an optimized and adjusted method for processing communication payload parameter configuration provided by an embodiment of the present invention;

[0055] Figure 6 Comparison diagram of sub-channel gains of the transponder before and after optimization in an optimized and adjusted method for processing communication payload parameter configuration provided by an embodiment of the present invention;

[0056] Figure 7 The comparison diagram of the output power of each link at the output end of the repeater before and after optimization for an optimization and adjustment method for processing communication payload parameter configuration provided by the embodiments of the present invention;

[0057] Figure 8 The comparison diagram of the carrier-to-noise ratio of each link of the receiving terminal before and after optimization for an optimization and adjustment method for processing communication payload parameter configuration provided by the embodiments of the present invention;

[0058] Figure 9 The comparison diagram of the transmission power of the newly added terminals before and after optimization for an optimization and adjustment method for processing communication payload parameter configuration provided by the embodiments of the present invention;

[0059] Figure 10 The comparison diagram of the sub-channel gain occupied by the newly added terminals before and after optimization for an optimization and adjustment method for processing communication payload parameter configuration provided by the embodiments of the present invention;

[0060] Figure 11 The comparison diagram of the output power corresponding to the newly added terminals before and after optimization for an optimization and adjustment method for processing communication payload parameter configuration provided by the embodiments of the present invention;

[0061] Figure 12 The comparison diagram of the carrier-to-noise ratio of the terminals in port 1 at 4 dB rain fade for an optimization and adjustment method for processing communication payload parameter configuration provided by the embodiments of the present invention;

[0062] Figure 13 The comparison diagram of the carrier-to-noise ratio of the terminals in port 1 before optimization at 10 dB rain fade for an optimization and adjustment method for processing communication payload parameter configuration provided by the embodiments of the present invention;

[0063] Figure 14 The comparison diagram of the carrier-to-noise ratio of the terminals in port 1 after optimization at 10 dB rain fade for an optimization and adjustment method for processing communication payload parameter configuration provided by the embodiments of the present invention. Detailed implementation manners

[0064] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following, in combination with the accompanying drawings and preferred embodiments, details the specific implementation manners, structures, features and their effects of an optimization and adjustment method for processing communication payload parameter configuration and a medium proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0065] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this invention belongs.

[0066] The following specifically describes, with reference to the accompanying drawings, a specific solution for an optimization and adjustment method for processing communication payload parameter configuration, and a medium.

[0067] Existing processing for optimizing the configuration of digital transparent processing payload parameters ignores the transponder utilization rate, has poor performance in specific scenario applications, low optimization efficiency, and may cause interruption of originally normal communication terminals during the adjustment process, affecting the communication experience. The first embodiment of the present invention provides an optimization method for processing communication payload parameter configuration. The terminal transmits signaling information to the satellite, and after receiving the signaling information, the satellite forwards it to the gateway station for initial optimization. The variable neighborhood search algorithm is adopted. In the objective function, the standard deviation and the average value are introduced. It not only considers the difference in the carrier power of each output end of the transponder to solve the problem of strong signal suppressing weak signal, but also considers minimizing the total output power as much as possible under the premise of meeting the constraint conditions to improve the power utilization rate. Based on the optimized payload parameter configuration, through an adjustment method for processing communication payload parameter configuration provided by the second embodiment of the present invention, each payload parameter configuration is dynamically adjusted according to the change in the number of terminals or the terminal channel conditions. To solve the above two methods, the third embodiment of the present invention provides a computer storage medium, which is essentially a software system composed of units that implement corresponding functions. Now, the specific steps in the method are introduced in detail.

[0068] Please refer to Figure 1 , which shows a multi-dimensional mathematical model diagram of a digital transparent processing transponder for an optimization method for processing communication payload parameter configuration provided by an embodiment of the present invention; the method includes:

[0069] Step S1: Based on the terminal transmitting signaling information to the satellite, the satellite determines the terminal transmission power and the corresponding satellite sub-channel gain, and each parameter configuration of the transponder operating point, and forwards each parameter configuration to the gateway station;

[0070] Step S2: The gateway station initially optimizes each parameter configuration, generates a sub-band routing information table, and sends each initially optimized parameter configuration and the sub-band routing information table to the satellite;

[0071] Step S3: The satellite adjusts the sub-channel gain according to each initially optimized parameter configuration and the sub-band routing information table, sends signaling information to the terminal, and returns the updated information to the satellite after adjusting the transmission power;

[0072] Step S4: The satellite exchanges signals by combining the updated information with the sub-band routing information table, sends the exchanged signals to the destination terminal, and after generating the completion instruction, sends it to the satellite. The satellite forwards the completion instruction to the gateway station to complete the optimization of the communication payload parameter configuration.

[0073] For better illustration, the terminal refers to the device directly used by users in the communication network, such as mobile phones, computers, etc.; the satellite refers to an artificial satellite operating in the geosynchronous orbit, which is responsible for receiving and forwarding signals from the terminal to achieve long-distance communication; the gateway station refers to a key node in the ground facilities, which is responsible for communicating with the satellite, processing the reception and transmission of signals, and ensuring the normal operation of the communication network; the transponder is used to receive signals and amplify or retransmit these signals. It can be used to extend the transmission distance of the signal, improve the signal quality, or perform signal conversion and transmission between different networks.

[0074] In this embodiment, digital transparency processing is adopted for the payload parameter configuration, that is, any data of the payload parameter configuration is allowed to remain in its original digital form during the transmission process without any decoding or conversion. This setting can ensure the integrity and consistency of the data, so that the data can maintain its initial state when it reaches the destination without being interfered or modified.

[0075] Further, in step S1, based on the terminal transmitting signaling information to the satellite, it includes:

[0076] The signaling information includes rain fade dynamic change, link transmission difference, service demand difference, and transmission regime;

[0077] It should be noted that the signaling information is information such as the destination of the data to be transmitted and the data volume. Through these information, each parameter data of the rain fade dynamic change, link transmission difference, service demand difference, and transmission regime can be obtained. It can be understood that in complex application scenarios, specific signal characteristics such as service regimes and networking methods will affect the sub-band frequency resource allocation, and service demands, link transmission differences, and rain fade dynamic changes will affect the power adjustment of multi-sub-band communication signals. Therefore, in order to quantify these effects for subsequent analysis, the differences included in the signaling information are abstracted as parameters in the communication conditions for understanding.

[0078] Define the rain fade dynamic change and the link transmission difference as the uplink and downlink losses, and the corresponding logical expressions are:

[0079] a l = Lup l,path + Lup l,rain + Lup l,misc

[0080] b l = Ldn l,path+Ldn l,rain +Ldn l,misc

[0081] Among them, a l and b l respectively represent the uplink loss and downlink loss of the l-th input port of the repeater; Lup l,path and Ldn l,path respectively represent the uplink free space propagation loss and downlink free space propagation loss of the l-th input port of the repeater; Lup l,rain and Ldn l,rain respectively represent the uplink rain fade and downlink rain fade of the l-th input port of the repeater; Lup l,misc and Ldn l,misc respectively represent the uplink spurious loss and downlink spurious loss of the l-th input port of the repeater;

[0082] Define the service demand difference as the EIRP values of the uplink and downlink terminals;

[0083] Define the transmission system as the carrier-to-noise ratio and sub-channel gain. Among them, the calculation formula corresponding to the carrier-to-noise ratio is:

[0084]

[0085] Among them, c i represents the carrier-to-noise ratio of the i-th link; E b represents the energy per unit bit; N0 represents the power spectral density of noise; R b represents the bit rate of the link transmission.

[0086] It is explained that in practical applications, the actual carrier-to-noise ratio at the receiving end of the i-th link cannot be less than the minimum required carrier-to-noise ratio. That is, assuming the actual carrier-to-noise ratio at the receiving end is c ri , the logical formula satisfied at this time is:

[0087] c i ≤c ri

[0088]

[0089] It should be noted that the rain attenuation phenomenon refers to the impact of rainfall on the propagation of electromagnetic wave signals, resulting in a weakening of the signal intensity. Its attenuation is caused by the absorption and scattering of the signal by raindrops and intensifies with the increase in rainfall; the link transmission difference involves the performance of the signal on different transmission paths; it is defined as the uplink and downlink losses. Specifically, the uplink refers to the signal transmission path from the terminal to the satellite, and the downlink is the path from the satellite to the terminal; the EIRP value refers to the total radiation power of the terminal device in all directions, reflecting the transmission ability of the terminal. Analyzing the EIRP value can evaluate and define the service demand differences to optimize the network performance; the carrier-to-noise ratio reflects the ratio of the signal to the noise, and the sub-channel gain involves the allocation and utilization efficiency of the signal in each sub-channel. Analyzing the carrier-to-noise ratio and sub-channel gain can analyze the corresponding performance of each transmission regime; finally, based on the abstracted dynamic changes in rain attenuation, link transmission differences, service demand differences, and different transmission regimes, considering the point-to-point networking method, that is, a network structure in which each node in the network is directly connected to other nodes, a multi-dimensional mathematical model of the digital model repeater is generated.

[0090] Further, in step S1, the satellite determines the terminal transmission power, the corresponding satellite sub-channel gain, and each parameter configuration of the repeater operating point, and forwards each parameter configuration to the gateway station, including:

[0091] Step S11: Determine the operating point of the repeater, and the corresponding calculation formula is:

[0092]

[0093] where z represents the operating point of the repeater; P represents the saturation power of the repeater; M represents the total number of links; x i represents the power at the input of the i-th link to the repeater; G n represents the n-th sub-channel gain; n(i) represents the sub-channel n allocated to the link i; k represents a constant; T s represents the input equivalent noise temperature of the repeater; kT s represents the noise power spectral density of the repeater; N represents the total number of sub-channels; B n represents the bandwidth of the n-th sub-channel.

[0094] It should be explained that the operating point of the repeater refers to the ratio of the total output power of the repeater to its saturation power without gain compression; preferably, k represents the Boltzmann constant, which can relate temperature and energy.

[0095] Step S12: Determine the terminal transmission power and the corresponding satellite sub-channel gain, and the corresponding calculation formula is:

[0096] y i = xi G n(i) / g(z)

[0097] g(z) = 1 + ρ g z

[0098] where y i represents the output power of link i passing through the repeater; g(z) represents the non - linear gain compression function of the repeater; ρ g represents the small - signal compression factor.

[0099] It is explained that G n(i) / g(z) represents the net gain obtained by link i after passing through the repeater.

[0100] Furthermore, in step S2, it includes:

[0101] Step S21: Introduce the standard deviation and the mean value, and construct the objective function in combination with each parameter configuration.

[0102] Furthermore, in step S21, when constructing the objective function, the corresponding calculation formula is:

[0103] min std(y) + mean(y)

[0104]

[0105] h(z) = ρ h / (1 + 1 / z) 3

[0106]

[0107]

[0108] where std(y) represents the standard deviation of the output power of all links; mean(y) represents the mean value of the output power of all links; M represents the total number of links; y i represents the output power of link i passing through the repeater; c i represents the carrier - to - noise ratio of the i - th link; b i represents the down - link loss of the i - th link; q i (x, G, z) represents the spectral density of the noise and interference of the i - th link, including the uplink noise, adjacent - channel interference, inter - modulation components, and the down - link noise power spectral density; k represents a constant; T s represents the input equivalent noise temperature of the repeater; G n(i) represents the gain of the n - th sub - channel allocated to link i; g(z) represents the non - linear gain compression function of the repeater; Δ ij represents the element in the spectral aliasing matrix generated by signals i and j in the repeater; h(z) represents the inter - modulation characteristic function; ρh represents the cross - modulation spectral density adjustment factor when the high - power amplifier is saturated; B represents the sub - channel bandwidth of the transponder; T i represents the equivalent input noise temperature of the terminal; z represents the operating point of the transponder; P represents the saturation power of the transponder; P out represents the total output power of the transponder.

[0109] It is explained that in this embodiment, the cross - modulation interference is approximated as white noise in the channel, and its power spectral density function is also a function of the operating point of the transponder, that is, the cross - modulation characteristic function h(z). At this time, the actual output cross - modulation spectral density of the transponder is h(z)P / B, where P represents the saturation power of the transponder and B represents the sub - channel bandwidth of the transponder; it can be explained that based on the small - signal compression factor ρ in the non - linear gain compression function g(z) and the cross - modulation characteristic function h(z) of the transponder g and the cross - modulation spectral density adjustment factor ρ h when the high - power amplifier is saturated, which represents the non - linear effect of the high - power amplifier.

[0110] It can be understood that the construction of the objective function includes three constraints. First, when the signal reaches the terminal, that is, the ground receiving end, the actual carrier - to - noise ratio is not less than the minimum required carrier - to - noise ratio; second, the non - linear effect of the high - power amplifier is reduced as much as possible; third, at the output end of the transponder, the total output power of each link does not exceed the saturation power; in the specific application of the objective function, the up - and - down link losses of each link in the same port are the same. Among them, assuming that link i belongs to the l - th input port, then b i =b l .

[0111] Step S22: Based on the objective function, optimize the objective function through the logarithmic barrier method and the penalty function method, and use the variable neighborhood search algorithm to solve it to generate the sub - band routing information table.

[0112] For better explanation, the logarithmic barrier method transforms the original constrained optimization problem into a series of unconstrained problems by introducing a barrier function. In this process, the barrier function gradually increases with the iteration, making the solution approach the boundary of the feasible region closer and closer during the optimization process; the penalty function method transforms the constraint conditions into penalty terms and adds them to the objective function, transforming the constrained optimization problem into a series of unconstrained problems. During the iteration process, as the weight of the penalty term gradually increases, the solution will increasingly satisfy the constraint conditions in the original problem.

[0113] Furthermore, in step S22, based on the objective function, the objective function is optimized through the logarithmic barrier method and the penalty function method, and the corresponding calculation formula is:

[0114]

[0115] Among them, α represents the barrier parameter; β represents the penalty function.

[0116] It is explained that the barrier parameter α>0 to ensure that the actual carrier-to-noise ratio at the receiving end of each link is greater than the required carrier-to-noise ratio c i ; the penalty function β>0, that is, let the penalty function β tend to infinity to strictly punish the degree of constraint violation, ensuring that the operating point of the transponder can be as close to the saturation point as possible; then, the variable neighborhood search algorithm is used to solve the optimized objective function, generating a sub-band routing information table, that is, defining multiple neighborhood structures, each structure corresponding to a different search strategy, and effectively jumping out of the local optimal solution by dynamically adjusting the neighborhood structure of the search space, improving the global search ability; at the same time, the algorithm will record the optimal solution found in each iteration and compare it with the current routing information. If the new solution is better, it will replace the old routing information and become part of the new sub-band routing information table, that is, use this table to record the routing selection of each sub-band, including key performance indicators such as path, bandwidth allocation, and possible delay.

[0117] Please combine Figures 2 - 4 , the second embodiment of the present invention proposes an adjustment method for processing communication payload parameter configuration, which is used to dynamically adjust the optimized communication payload parameter configuration provided by the first embodiment of the present invention. The method includes:

[0118] Step S101: Based on the optimized communication payload parameter configuration, dynamically adjust the corresponding terminals that cannot communicate normally according to whether the number of terminals or the channel conditions have changed;

[0119] Step S102: If the number of terminals decreases, the terminals that have always existed keep the communication payload parameter configuration unchanged, disconnect the decreased terminals, recycle the occupied resources, and search for the operating point of the transponder;

[0120] Step S103: If the number of terminals increases, the terminals that have always existed keep the communication payload parameter configuration unchanged, and search for the transmit power of the terminals, the corresponding satellite sub-channel gain, and each parameter configuration of the transponder operating point;

[0121] Step S104: If the channel conditions of the terminals change, the hinge relationship of all terminals remains unchanged, the transmit power of the unaffected terminals and the corresponding satellite sub-channel gain remain unchanged, and the transmit power of the interrupted terminals and the corresponding satellite sub-channel gain, and all transponder operating points are adjusted.

[0122] Understandably, if the number of terminals or the channel conditions of some of them change, it may lead to an increase in non-linear effects, affecting the transmission quality of signals; the total output power of the transponder exceeds the saturation power, deteriorating the transmission effect of signals; the actual carrier-to-noise ratio at the receiving end is lower than the minimum required carrier-to-noise ratio and a series of situations that affect normal communication, which may cause some terminals to be unable to communicate normally. Therefore, corresponding adjustments are made for different change situations to ensure the normal communication of terminals. For terminals that can communicate normally and the adjusted terminals, the communication status needs to be monitored continuously to prevent potential communication problems and ensure the stability of communication transmission.

[0123] Specifically, when the number of terminals decreases, the transponder reclaims the transmission power and sub-channel resources of the terminals that cannot communicate normally. The transmission power of the remaining terminals that can communicate normally, the corresponding sub-channel gain, and the hinge relationship remain unchanged, and then the operating point, that is, the operating point in the communication system, is adjusted; if the number of terminals increases, the transponder assigns the newly added terminals to new sub-channels and hinge relationships, and separately adjusts the transmission power, the corresponding sub-channel gain, and the operating point of the newly added terminals, while the communication load parameter configuration and the hinge relationship of the originally existing terminals remain unchanged; if the channel conditions of the terminals change, for example, the rain attenuation of some beams decreases, resulting in a significant increase in the total output power at the output end of the transponder, search for the links with a significantly increased output power among these beams; or the rain attenuation of some beams increases, resulting in the actual carrier-to-noise ratio at the receiving end being less than the minimum required carrier-to-noise ratio threshold, making the terminal unable to communicate normally, and perform parameter search for the terminals that cannot communicate normally separately; the communication dynamically adjusts the communication load parameter configuration according to different terminal change situations, enabling the terminals that could not communicate normally to resume communication, and ensuring that the terminals that originally communicated normally continue to communicate normally, improving the applicability of the method.

[0124] Preferably, to ensure the feasibility of the methods proposed in the first and second embodiments, simulation verification is carried out; specifically, for the point-to-point networking mode, the GEO satellite altitude is 35786 Km, the transponder has 4 input ports and 4 output ports, and each port corresponds to a beam, that is, 4 uplink beams and 4 downlink beams. The terminal sends information to the satellite through the uplink beam, and after the satellite receives it, it sends it to another terminal through the downlink beam. Among them, the simulation parameters of the total bandwidth of the transponder are set to 2000 MHz, the frequency is set to Ka, the number of sub-channels per single port is 400, the sub-channel bandwidth is 1.25 MHz, and the sub-channel gain is -20 dB - 20 dB; the settings for the terminals are shown in Table 1.

[0125] Table 1 Simulation parameter table of terminals

[0126]

[0127] Based on the number of terminals being 400, compare the terminal transmit power, sub-channel gain, output power of each link, and carrier-to-noise ratio before and after optimization.

[0128] Specifically, please refer to Figure 5 , which shows the comparison diagram of the terminal transmit power before and after optimization of a method for optimizing and adjusting the configuration of communication payload parameters in an embodiment of the present invention; before optimization, the terminal transmit power defaults to output at the maximum power, which are three levels of 50W, 20W, and 10W respectively. After using the optimization and adjustment method to adjust the transmit power of each terminal, the optimized data is evenly distributed, reflecting good communication performance.

[0129] Please refer to Figure 6 , which shows the comparison diagram of the sub-channel gain of the repeater before and after optimization of a method for optimizing and adjusting the configuration of communication payload parameters in an embodiment of the present invention; before optimization, the gain of the sub-channels occupied by the terminals defaults to the maximum, and the gain of the unoccupied sub-channels defaults to the minimum. After optimization, the sub-channel gain data is more dispersed and not limited to extreme maximum or minimum values.

[0130] Please refer to Figure 7 , which shows the comparison diagram of the output power of each link at the output end of the repeater before and after optimization of a method for optimizing and adjusting the configuration of communication payload parameters in an embodiment of the present invention; before optimization, since the terminal transmit power is divided into three levels of 50W, 20W, and 10W, and the gain of the occupied sub-channels is the maximum, the output power of the corresponding links is three levels; after optimization, the output power is generally smaller, and the difference between them is also smaller, meeting the optimization goal.

[0131] Please refer to Figure 8 , which shows the comparison diagram of the carrier-to-noise ratio of each link of the receiving terminal before and after optimization of a method for optimizing and adjusting the configuration of communication payload parameters in an embodiment of the present invention; the minimum required carrier-to-noise ratio is related to the rate. In the setting of simulation parameters, the rate is divided into three gears, so the minimum required carrier-to-noise ratio of the receiving end is divided into three gears. It can be seen from the figure that the actual carrier-to-noise ratio is not less than the minimum required carrier-to-noise ratio to ensure normal communication of the link.

[0132] Furthermore, assume that the condition obtained by using an adjustment method for optimizing the configuration of communication payload parameters is that the number of terminals increases. At this time, in the corresponding analysis moment, some new terminals are added. Assume that the size and rate of the new terminals are the same, that is, corresponding to 3 types of terminals and a rate of 6 Mb / s.

[0133] Please combine with Figures 9 - 11, which respectively shows the comparison diagrams of the transmit power of newly added terminals, the sub-channel gain occupancy, and the corresponding output power before and after the optimization of a method for optimizing and adjusting the configuration of communication payload parameters in an embodiment of the present invention; before optimization, the transmit power of the new terminals is all 50W, and the corresponding sub-channel gain is the maximum value, but this may not meet the power requirements, and the non-linear effect will also be very large; after the optimization and adjustment, according to the differences of each link, the transmit power of each new terminal and the corresponding sub-channel gain are adjusted to achieve an optimal balance as much as possible in meeting the carrier-to-noise ratio requirements, reducing the non-linear effect, and reducing the total output power.

[0134] Further, when the rain fade of port 1 increases from 4dB to 10dB at the corresponding analysis time, it may cause the communication links of some terminals in port 1 to be interrupted, and the satellite will adjust the transmit power, sub-channel gain, and operating point of these terminals with interrupted communication to enable the terminals to resume normal communication; it can be stated that when the rain fade changes, there are 100 terminals in port 1, including 48 terminals of type 3, 19 terminals of type 2, and 33 terminals of type 1.

[0135] Specifically, please refer to Figure 12 , which shows the comparison diagram of the carrier-to-noise ratio of the terminals in port 1 at a rain fade of 4dB in a method for optimizing and adjusting the configuration of communication payload parameters in an embodiment of the present invention; when the rain fade is 4dB, the actual carrier-to-noise ratio of the receiving ends corresponding to the 100 terminals in port 1 is greater than the minimum required carrier-to-noise ratio, and the terminals are communicating normally at this time.

[0136] Please refer to Figure 13 , which shows the comparison diagram of the carrier-to-noise ratio of the terminals in port 1 before optimization at a rain fade of 10dB in a method for optimizing and adjusting the configuration of communication payload parameters in an embodiment of the present invention; when the rain fade suddenly increases to 10dB, the actual carrier-to-noise ratio of the receiving ends of all terminals in port 1 decreases, resulting in the actual carrier-to-noise ratio of the receiving ends of some terminals being less than the minimum required carrier-to-noise ratio, causing these terminals to be unable to communicate normally.

[0137] Please refer to Figure 14 , which shows the comparison diagram of the carrier-to-noise ratio of the terminals in port 1 after optimization at a rain fade of 10dB in a method for optimizing and adjusting the configuration of communication payload parameters in an embodiment of the present invention; based on the aforementioned terminals that cannot communicate normally, optimization and adjustment are performed to enable the link to resume normal communication.

[0138] It can be understood that after being verified by simulation experiments, the optimization and adjustment method proposed in this application makes optimization and adjustment for the configuration of communication payload parameters, improves the communication performance, improves the communication efficiency, and according to the specific communication changes, the terminals that need to be adjusted can be adjusted separately, and other terminals can still communicate normally, ensuring the communication experience of other terminals.

[0139] The third embodiment in the present invention further provides a computer storage medium, including 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 steps of the method described in any of the foregoing embodiments are implemented.

[0140] It should be noted that the above sequence of embodiments of the present invention is only for description and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0141] Each embodiment in this specification is described in a progressive manner, and the same or similar parts among the embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. An optimized method for processing communication payload parameter configuration, characterized in that The method includes: Based on the terminal transmitting signaling information to the satellite, the satellite determines the terminal transmission power, the corresponding satellite sub-channel gain, and each parameter configuration of the transponder operating point, and forwards each parameter configuration to the gateway station; The gateway station initially optimizes each parameter configuration, generates a sub-band routing information table, and sends each initially optimized parameter configuration and the sub-band routing information table to the satellite, including: Introduce the standard deviation and the mean value, and construct an objective function in combination with each parameter configuration; Among them, when constructing the objective function, the corresponding calculation formula is: min std(y)+mean(y) h(z) = ρ h / (1 + 1 / z) 3 Among them, std(y) represents the standard deviation of the output power of all links; mean(y) represents the average value of the output power of all links; M represents the total number of links; y i represents the output power of link i passing through the transponder; c i represents the carrier-to-noise ratio of the i-th link; b i represents the downlink loss of the i-th link; q i (x, G, z) represents the spectral density of the noise and interference of the i-th link, including uplink noise, adjacent-channel interference, intermodulation components, and the downlink noise power spectral density; k represents a constant; T s represents the equivalent input noise temperature of the transponder; G n(i) represents the gain of the n-th subchannel allocated to link i; g(z) represents the nonlinear gain compression function of the transponder; Δ ij represents the element in the spectral aliasing matrix generated by signals i and j in the transponder; h(z) represents the intermodulation characteristic function; ρ h represents the intermodulation spectral density adjustment factor when the high-power amplifier is saturated; B represents the subchannel bandwidth of the transponder; T i represents the equivalent input noise temperature of the terminal; z represents the operating point of the transponder; P represents the saturation power of the transponder; P out represents the total output power of the transponder; Based on the objective function, optimize the objective function through the logarithmic barrier method and the penalty function method, and use the variable neighborhood search algorithm to solve it to generate a sub-band routing information table; Among them, based on the objective function, the formula for optimizing the objective function through the logarithmic barrier method and the penalty function method is: Among them, α represents the barrier parameter; β represents the penalty function; The satellite adjusts the sub-channel gain according to each initially optimized parameter configuration and the sub-band routing information table, sends signaling information to the terminal, and returns the updated information to the satellite after adjusting the transmission power; The satellite performs signal exchange in combination with the sub-band routing information table through the updated information, sends the exchanged signal to the destination terminal, waits for the generation of a completion instruction and then sends it to the satellite, and the satellite forwards the completion instruction to the gateway station to complete the optimization of the communication payload parameter configuration.

2. An optimized method for processing communication payload parameter configuration according to claim 1, characterized in that, Based on the terminal transmitting signaling information to the satellite, including: The signaling information includes rain fade dynamic changes, link transmission differences, service demand differences, and transmission regimes; Define the rain fade dynamic changes and the link transmission differences as the uplink and downlink losses, and the corresponding logical expression is: a l = Lup l,path + Lup l,rain + Lup l,misc b l = Ldn l,path + Ldn l,rain + Ldn l,misc Among them, a l , b l respectively represent the uplink loss and downlink loss of the l-th input port of the repeater; Lup l,path , Ldn l,path respectively represent the uplink free space propagation loss and downlink free space propagation loss of the l-th input port of the repeater; Lup l,rain , Ldn l,rain respectively represent the uplink rain attenuation and downlink rain attenuation of the l-th input port of the repeater; Lup l,misc , Ldn l,misc respectively represent the uplink spurious loss and downlink spurious loss of the l-th input port of the repeater; Define the service demand difference as the EIRP values of the uplink and downlink terminals; Define the transmission regime as the carrier-to-noise ratio and the sub-channel gain. Among them, the calculation formula for the carrier-to-noise ratio is: Among them, c i represents the carrier-to-noise ratio of the i-th link; E b represents the energy per unit bit; N0 represents the power spectral density of the noise; R b represents the bit rate of the link transmission.

3. An optimization method for processing communication payload parameter configuration according to claim 2, characterized in that, The satellite determines the terminal transmission power, the corresponding satellite sub-channel gain, and each parameter configuration of the transponder operating point, and forwards each parameter configuration to the gateway station, including: Determine the operating point of the transponder, and the corresponding calculation formula is: Among them, z represents the operating point of the repeater; P represents the saturation power of the repeater; M represents the total number of links; x i represents the power at the input of the repeater for the i-th link; G n represents the gain of the n-th subchannel; n(i) represents the subchannel n assigned to the link i; k represents a constant; T s represents the input equivalent noise temperature of the repeater; kT s represents the noise power spectral density of the repeater; N represents the total number of subchannels; B n represents the bandwidth of the n-th subchannel; Determine the terminal transmission power and the corresponding satellite sub-channel gain, and the corresponding calculation formula is: y i = x i G n(i) / g(z) g(z) = 1 + ρ g z where y i represents the output power of link i passing through the repeater; g(z) represents the non-linear gain compression function of the repeater; ρ g represents the small-signal compression factor.

4. A method for adjusting the configuration of communication payload parameters, characterized in that, For dynamically adjusting the optimized communication payload parameter configuration of an optimization method for processing communication payload parameter configuration as described in any one of claims 1 to 3, the method includes: Based on the optimized communication payload parameter configuration, dynamically adjust the corresponding terminals that cannot communicate normally according to whether the number of terminals or the channel conditions change; If the number of terminals decreases, the terminals that always exist keep the communication payload parameter configuration unchanged, disconnect the decreased terminals, recycle the occupied resources, and search for the transponder operating point; If the number of terminals increases, the terminals that always exist keep the communication payload parameter configuration unchanged, and search for the terminal transmission power, the corresponding satellite sub-channel gain, and each parameter configuration of the transponder operating point; If the channel conditions of the terminals change, the hinge relationships of all terminals remain unchanged, the transmit powers of the unaffected terminals and the corresponding satellite sub-channel gains remain unchanged, and the transmit powers of the interrupted terminals and the corresponding satellite sub-channel gains, as well as the operating points of all transponders, are adjusted.

5. A computer storage medium, 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 steps of the method described in any one of claims 1 to 3 or claim 4 are implemented.

Images