Optimization and adjustment method for processing communication load parameter configuration, and medium

Abstract

The invention relates to the technical field of satellite communication, in particular to an optimization and adjustment method for processing communication load parameter configuration and a medium. The optimization method comprises the following steps: transmitting signaling information to a satellite based on a terminal, determining terminal transmitting power and corresponding satellite sub-channel gain by the satellite, and forwarding each parameter configuration of a transponder working point to a gateway station; the gateway station initially optimizes each parameter configuration, generates a sub-band routing information table, and sends the sub-band routing information table to a satellite; the satellite adjusts the sub-channel gain according to each parameter configuration after initial optimization and the sub-band routing information table, sends signaling information to the terminal, and returns updating information to the satellite after adjusting the transmitting power; and the satellite performs signal exchange by updating information and combining with the sub-band routing information table, sends the exchanged signal to the destination terminal and sends the signal to the satellite after a completion instruction is generated, and the satellite forwards the completion instruction to the gateway station to complete optimization of communication load parameter configuration.

Description

Technical Field

[0001] The present invention relates to the field of satellite communication technology, and in particular to an optimization and adjustment method and medium for processing communication load parameter configuration. Background Art

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

[0003] At present, there have been some studies on the optimization of digital transparent processing load parameter configuration. The Lagrange multiplier optimization algorithm solves the gain of each channel under the premise of minimizing the output power of the repeater, and an improved solution strategy was subsequently developed. However, these existing studies only focus on reducing the uplink equivalent isotropic radiated power (EIRP) of each ground terminal by minimizing the output power of the repeater, but do not fully consider the problem of repeater power utilization. Although the direct calculation method reduces the amount of calculation, it sets the transmitter's transmission power to 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 maximum minimization model, which effectively improves the power utilization of the repeater. This algorithm performs best in performance, but lacks in-depth discussion of the overall process. When the number of terminals or channel conditions change, the algorithm only re-optimizes the parameters of all terminals in the system, and the optimization process takes time, which will cause the terminal that was originally in normal communication status to experience communication interruption, thereby affecting its communication experience. Summary of the invention

[0004] In order to solve the technical problems that the existing optimization of load parameter configuration for digital transparent processing ignores the utilization rate of the transponder, has poor performance in specific scene applications, low optimization efficiency, and may cause interruption of the originally normal communication terminal during the adjustment process, affecting the communication experience, the purpose of the present invention is to provide an optimization method for processing communication load parameter configuration, and the technical scheme adopted is as follows: Based on the signaling information transmitted by the terminal to the satellite, the satellite determines the terminal transmission power and the corresponding satellite subchannel gain, as well as each parameter configuration of the transponder working point, and forwards each parameter configuration to the signal gateway; The gateway station initially optimizes each parameter configuration, generates a sub-band routing information table, and sends each parameter configuration and sub-band routing information table after initial optimization to the satellite; The satellite adjusts the subchannel gain according to each parameter configuration and subband routing information table after initial optimization, sends signaling information to the terminal, and returns the updated information to the satellite after adjusting the transmission power; The satellite exchanges signals by updating information and combining the sub-band routing information table, and sends the exchanged signals to the destination terminal. After the completion instruction is generated, it is sent to the satellite. The satellite forwards the completion instruction to the gateway to complete the optimization of the communication payload parameter configuration.

[0005] Preferably, transmitting signaling information to a satellite based on a terminal includes: The signaling information includes dynamic changes in rain attenuation, link transmission differences, service demand differences and transmission systems; Define the dynamic change of rain attenuation and link transmission difference as uplink and downlink loss, and the corresponding logical expression is:

[0006]

[0007] in, , Respectively represent the forwarder Uplink loss and downlink loss of each input port; , Respectively represent the forwarder The uplink free propagation loss and downlink free propagation loss of each input port; , Respectively represent the forwarder Uplink rain attenuation and downlink rain attenuation of each input port; , Respectively represent the forwarder Uplink spurious loss and downlink spurious loss of each input port; Define the difference in service demand as the EIRP value of the upstream and downstream terminals; The transmission system is defined as carrier-to-noise ratio and subchannel gain, where the calculation formula corresponding to the carrier-to-noise ratio is:

[0008] in, Indicates The carrier-to-noise ratio of the link; It represents the energy per bit; represents the power spectral density of the noise; Indicates the bit rate transmitted on the link.

[0009] Preferably, the satellite determines the terminal transmit power and the corresponding satellite subchannel gain, and each parameter configuration of the repeater working point, and forwards each parameter configuration to the gateway, including: Determine the operating point of the repeater. The corresponding calculation formula is:

[0010] in, represents the operating point of the repeater; Indicates the transponder saturation power; Indicates the total number of links; Indicates The power of the link at the transponder input; Indicates Sub-channel gains; Indicates subchannel Assign to link ; represents a constant; represents the transponder input equivalent noise temperature; represents the transponder noise power spectral density; Indicates the total number of subchannels; Indicates Sub-channel bandwidth; Determine the terminal transmit power and the corresponding satellite subchannel gain. The corresponding calculation formula is:

[0011]

[0012] in, Indicates link Output power through the repeater; represents the transponder nonlinear gain compression function; represents the small signal compression factor.

[0013] Preferably, the gateway initially optimizes each parameter configuration, generates a sub-band routing information table, and sends each parameter configuration and the sub-band routing information table after initial optimization to the satellite, including: Introduce standard deviation and mean value, and build the objective function in combination with each parameter configuration; Based on the objective function, the objective function is optimized by logarithmic barrier method and penalty function method, and the variable neighborhood search algorithm is used to solve it and generate the sub-band routing information table.

[0014] Preferably, the objective function is constructed, and the corresponding calculation formula is:

[0015]

[0016]

[0017]

[0018]

[0019]

[0020]

[0021]

[0022] in, represents the standard deviation of the output power of all links; Represents the average value of the output power of all links; Indicates the total number of links; Indicates link Output power through the repeater; Indicates The carrier-to-noise ratio of the link; Indicates Downlink loss of the link; Indicates Spectral density of noise and interference for each link, including uplink noise, adjacent channel interference, intermodulation components, and downlink noise power spectral density; represents a constant; represents the transponder input equivalent noise temperature; Indicates the link is assigned No. Sub-channel gains; represents the transponder nonlinear gain compression function; Indicates the signal in the repeater With signal The elements in the resulting spectral aliasing matrix; represents the intermodulation characteristic function; Indicates the intermodulation spectrum density adjustment factor when the high power amplifier is saturated; represents the transponder subchannel bandwidth; It represents the equivalent input noise temperature of the terminal; represents the operating point of the repeater; Indicates the transponder saturation power; Indicates the total output power of the transponder.

[0023] Preferably, based on the objective function, the objective function is optimized by the logarithmic barrier method and the penalty function method, and the corresponding calculation formula is:

[0024] in, represents the obstacle parameter; represents the penalty function.

[0025] To solve the above problems, the present application further proposes: a method for adjusting communication load parameter configuration, which is used to dynamically adjust the communication load parameter configuration after optimization by the optimization method for processing communication load parameter configuration as described in any of the above items, the method comprising: Based on the optimized communication load parameter configuration, dynamically adjust the corresponding terminals that cannot communicate normally according to whether the number of terminals or channel conditions change; If the number of terminals decreases, the existing terminals keep the communication load parameter configuration unchanged, disconnect the reduced terminals, reclaim the occupied resources, and search for the repeater working point; If the number of terminals increases, the existing terminals keep the communication load parameter configuration unchanged, and search for each parameter configuration of the terminal transmission power and the corresponding satellite subchannel gain and the transponder working point; If the channel conditions of the terminal change, the hinge relationship of all terminals remains unchanged, the transmission power of the unaffected terminal and the corresponding satellite sub-channel gain remain unchanged, and the transmission power of the interrupted terminal and the corresponding satellite sub-channel gain, as well as all transponder operating points, are adjusted.

[0026] To solve the above problems, the present application also proposes: 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 the above methods are implemented.

[0027] The present invention has the following beneficial effects: 1. First, the parameters of the ground terminal are initialized and optimized. The variable neighborhood search algorithm is used. In the objective function, the standard deviation and the average value are introduced. The difference in the power of each carrier at the output of the transponder is considered to solve the problem of strong signal suppression of weak signals. It also considers reducing the total output power as much as possible and improving the power utilization rate under the premise of meeting the constraints. In terms of constraints, in addition to considering the carrier-to-noise ratio constraint of the receiving end and the nonlinear effect constraint of the high power amplifier, the transponder power constraint is also considered, that is, the total output power of each link is not greater than the saturation power of the transponder, so as to meet the communication needs of all terminals and reduce the waste of power resources. Then, the optimization of the communication payload parameter configuration is completed, and the overall communication process is studied. Then the results are injected into the satellite to ensure the normal operation of the terminal.

[0028] 2. In the prior art, when the number of terminals or the conditions of the terminal channels change, the transmission power, occupied sub-channel gains and repeater operating points of all terminals are usually searched or calculated again. However, the search, calculation and adjustment will take time, which will cause other terminals that are communicating normally to temporarily interrupt communication and affect their communication experience. Therefore, an optimized communication parameter configuration is adopted. According to the specific communication changes, the terminals that need to be adjusted can be adjusted separately, and other terminals can still maintain normal communication, thereby ensuring the communication experience of other terminals and expanding the adaptability of the scenarios.

[0029] 3. The present invention also provides a computer storage medium for implementing the aforementioned optimization method for processing communication load parameter configuration and the aforementioned adjustment method for processing communication load parameter configuration. The medium has the same beneficial effects as the aforementioned optimization and adjustment method for processing communication load parameter configuration, which will not be elaborated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0031] Figure 1 A multi-dimensional mathematical model diagram of a digital transparent processing transponder for an optimization method for processing communication load parameter configuration provided by an embodiment of the present invention; Figure 2 A strategy diagram for reducing the number of terminals in a method for adjusting communication load parameter configuration provided by an embodiment of the present invention; Figure 3A strategy diagram for increasing the number of terminals in a method for adjusting communication load parameter configuration provided by an embodiment of the present invention; Figure 4 A strategy diagram for changes in channel conditions of some terminals in a method for adjusting communication load parameter configuration provided by an embodiment of the present invention; Figure 5 A comparison diagram of terminal transmission power before and after optimization of a method for optimizing and adjusting communication load parameter configuration provided by an embodiment of the present invention; Figure 6 A comparison diagram of the transponder subchannel gains before and after optimization of a method for optimizing and adjusting communication load parameter configuration provided by an embodiment of the present invention; Figure 7 A 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 communication load parameter configuration provided by an embodiment of the present invention; Figure 8 A comparison diagram of the carrier-to-noise ratio of each link of a receiving terminal before and after optimization of an optimization and adjustment method for processing communication load parameter configuration provided by an embodiment of the present invention; Fig. 9 A comparison diagram of the transmission power of a newly added terminal before and after optimization of a method for optimizing and adjusting communication load parameter configuration provided by an embodiment of the present invention; Fig.10 A comparison diagram of sub-channel gains occupied by newly added terminals before and after optimization of a method for optimizing and adjusting communication load parameter configuration provided by an embodiment of the present invention; Fig.11 A comparison diagram of the output power corresponding to the newly added terminal before and after the optimization of a method for optimizing and adjusting communication load parameter configuration provided by an embodiment of the present invention; Fig.12 A comparison diagram of the carrier-to-noise ratio of the terminal in port 1 at 4 dB rain attenuation for a method for optimizing and adjusting communication load parameter configuration provided by an embodiment of the present invention; Fig.13 A comparison diagram of the carrier-to-noise ratio of the terminal in the front port 1 when the rain attenuation is 10 dB, in a method for optimizing and adjusting the configuration of communication load parameters provided by an embodiment of the present invention; Fig.14 A comparison diagram of the carrier-to-noise ratio of the terminal in port 1 after optimization when there is 10 dB rain attenuation in a method for optimizing and adjusting communication load parameter configuration provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0032] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the optimization and adjustment method and medium for processing communication load parameter configuration proposed by the present invention, its specific implementation method, structure, characteristics and effects in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0033] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0034] The following specifically describes a method for optimizing and adjusting communication load parameter configuration and a specific solution of a medium provided by the present invention in conjunction with the accompanying drawings.

[0035] The existing process for optimizing the configuration of load parameters for digital transparent processing ignores the utilization rate of the transponder, has poor performance in specific scenario applications, and has low optimization efficiency. In addition, the adjustment process may cause the originally normal communication terminal to be interrupted, affecting the communication experience. The first embodiment of the present invention provides an optimization method for processing communication load parameter configuration, wherein the terminal transmits signaling information to the satellite, and the satellite forwards the signaling information to the signal gateway for initial optimization after receiving the signaling information. The variable neighborhood search algorithm is adopted, and the standard deviation and the average value are introduced in the objective function, which not only considers the difference in power of each carrier at the output end of the transponder to solve the problem of strong signal suppressing weak signal, but also considers reducing the total output power as much as possible and improving power utilization under the premise of satisfying the constraint conditions. Based on the optimized load parameter configuration, an adjustment method for processing communication load parameter configuration provided by the second embodiment of the present invention dynamically adjusts each load parameter configuration according to the change of the number of terminals or the terminal channel conditions. In order to solve the two methods provided above, the third embodiment of the present invention provides a computer storage medium, which is essentially a software system, which is composed of various units that realize corresponding functions. The specific steps in the method are now introduced in detail.

[0036] See also Figure 1 , which shows a multi-dimensional mathematical model diagram of a digital transparent processing repeater for an optimization method for processing communication load parameter configuration provided by an embodiment of the present invention; the method comprises: Step S1: Based on the signaling information transmitted by the terminal to the satellite, the satellite determines the terminal transmission power and the corresponding satellite subchannel gain, and each parameter configuration of the transponder working point, and forwards each parameter configuration to the gateway; Step S2: the gateway initially optimizes each parameter configuration, generates a sub-band routing information table, and sends each parameter configuration and the sub-band routing information table after initial optimization to the satellite; Step S3: The satellite adjusts the subchannel gain according to each parameter configuration after initial optimization and the subband routing information table, sends signaling information to the terminal, and returns the update information to the satellite after adjusting the transmission power; Step S4: The satellite exchanges signals by updating information and combining the sub-band routing information table, and sends the exchanged signals to the destination terminal. After generating a completion instruction, it is sent to the satellite. The satellite forwards the completion instruction to the gateway to complete the optimization of the communication payload parameter configuration.

[0037] For better explanation, terminal refers to the equipment directly used by users in the communication network, such as mobile phones, computers, etc.; satellite refers to an artificial satellite operating in geosynchronous orbit, which is responsible for receiving and forwarding signals from the terminal to achieve long-distance communication; gateway refers to a key node in ground facilities, which is responsible for communicating with satellites, processing the reception and transmission of signals, and ensuring the normal operation of the communication network; repeater is used to receive signals and amplify or resend them. It can be used to extend the transmission distance of signals, improve signal quality, or convert and transmit signals between different networks.

[0038] In this embodiment, digital transparent processing is adopted for the load parameter configuration, that is, any data of the load parameter configuration is allowed to keep its original digital form unchanged 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 original state when it reaches the destination without any interference or modification.

[0039] Furthermore, in step S1, transmitting signaling information to the satellite based on the terminal includes: Signaling information includes dynamic changes in rain attenuation, link transmission differences, service demand differences, and transmission systems; It is explained that the signaling information is information such as the destination and data volume of the data to be transmitted. Through this information, the dynamic changes of rain attenuation, link transmission differences, business demand differences and each parameter data of the transmission system can be obtained; it can be understood that in complex application scenarios, specific business systems, networking methods and other signal characteristics will have an impact on the allocation of sub-band frequency resources, and business demands, link transmission differences, and dynamic changes in rain attenuation will have an impact on the power adjustment of multi-sub-band communication signals; therefore, in order to quantify these impacts and facilitate subsequent analysis, the differences contained in the signaling information are abstracted into parameter understandings in the communication conditions in turn.

[0040] Define the dynamic change of rain attenuation and link transmission difference as uplink and downlink loss, and the corresponding logical expression is:

[0041]

[0042] in, , Respectively represent the forwarder Uplink loss and downlink loss of each input port; , Respectively represent the forwarder The uplink free propagation loss and downlink free propagation loss of each input port; , Respectively represent the forwarder Uplink rain attenuation and downlink rain attenuation of each input port; , Respectively represent the forwarder Uplink spurious loss and downlink spurious loss of each input port; Define the difference in service demand as the EIRP value of the upstream and downstream terminals; The transmission system is defined as carrier-to-noise ratio and subchannel gain, where the calculation formula corresponding to the carrier-to-noise ratio is:

[0043] in, Indicates The carrier-to-noise ratio of the link; It represents the energy per bit; represents the power spectral density of the noise; Indicates the bit rate transmitted on the link.

[0044] To explain, in practical application, The actual carrier-to-noise ratio at the receiving end of the link cannot be less than the minimum required carrier-to-noise ratio. That is, assuming that the actual carrier-to-noise ratio at the receiving end is , then the logical formula is:

[0045]

[0046] It can be explained that rain attenuation refers to the effect of rainfall on the propagation of electromagnetic wave signals, resulting in a weakening of signal strength. The attenuation is caused by the absorption and scattering of raindrops on the signal, and it increases with the increase of rainfall. Link transmission differences involve the performance of signals on different transmission paths. They are defined as uplink and downlink losses, that is, 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 sum of the radiated power of the terminal device in all directions, reflecting the transmission capability of the terminal. By analyzing the EIRP value, the differences in business requirements can be evaluated and defined to optimize network performance. The carrier-to-noise ratio reflects the ratio of signal to noise, and the subchannel gain involves the allocation and utilization efficiency of the signal in each subchannel. By analyzing the carrier-to-noise ratio and subchannel gain, the corresponding performance of each transmission system can be analyzed. Finally, according to the abstracted dynamic changes of rain attenuation and link transmission differences, business demand differences, and different transmission systems, the point-to-point networking mode is considered, that is, the network structure in which each node in the network is directly connected to other nodes, so as to generate a multi-dimensional mathematical model of the digital model repeater.

[0047] Furthermore, in step S1, the satellite determines the terminal transmission power and the corresponding satellite subchannel gain, and each parameter configuration of the transponder working point, and forwards each parameter configuration to the gateway, including: Step S11: Determine the working point of the repeater, and the corresponding calculation formula is:

[0048] in, represents the operating point of the repeater; Indicates the transponder saturation power; Indicates the total number of links; Indicates The power of the link at the transponder input; Indicates Sub-channel gains; Indicates subchannel Assign to link ; represents a constant; represents the transponder input equivalent noise temperature; represents the transponder noise power spectral density; Indicates the total number of subchannels; Indicates sub-channel bandwidth.

[0049] It is explained that the operating point of the repeater refers to the ratio of the total output power of the repeater to its saturation power in the absence of gain compression; preferably, represents the Boltzmann constant, which relates temperature and energy.

[0050] Step S12: Determine the terminal transmit power and the corresponding satellite subchannel gain, and the corresponding calculation formula is:

[0051]

[0052] in, Indicates link Output power through the repeater; represents the transponder nonlinear gain compression function; represents the small signal compression factor.

[0053] To explain, Indicates link The net gain after passing through the repeater.

[0054] Furthermore, step S2 includes: Step S21: Introduce the standard deviation and mean value, and construct the objective function in combination with each parameter configuration.

[0055] Furthermore, in step S21, an objective function is constructed, and the corresponding calculation formula is:

[0056]

[0057]

[0058]

[0059]

[0060]

[0061]

[0062]

[0063] in, represents the standard deviation of the output power of all links; Represents the average value of the output power of all links; Indicates the total number of links; Indicates link Output power through the repeater; Indicates The carrier-to-noise ratio of the link; Indicates Downlink loss of the link; Indicates Spectral density of noise and interference for each link, including uplink noise, adjacent channel interference, intermodulation components, and downlink noise power spectral density; represents a constant; represents the transponder input equivalent noise temperature; Indicates the link is assigned No. Sub-channel gains; represents the transponder nonlinear gain compression function; Indicates the signal in the repeater With signal The elements in the resulting spectral aliasing matrix; represents the intermodulation characteristic function; Indicates the intermodulation spectrum density adjustment factor when the high power amplifier is saturated; represents the transponder subchannel bandwidth; It represents the equivalent input noise temperature of the terminal; represents the operating point of the repeater; Indicates the transponder saturation power; Indicates the total output power of the transponder.

[0064] It is explained that in this embodiment, the intermodulation interference is approximated as white noise in the channel, and its power spectrum density function is also a function of the repeater operating point, that is, the intermodulation characteristic function , at this time, the actual output intermodulation spectrum density of the transponder is ,in, represents the transponder saturation power, represents the transponder subchannel bandwidth; it can be explained that based on the transponder nonlinear gain compression function and intermodulation characteristic function The small signal compression factor in and the intermodulation spectrum density adjustment factor when the high power amplifier is saturated , indicating the nonlinear effect of high power amplifier.

[0065] It can be understood that the construction based on the objective function contains 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 nonlinear effect of the high power amplifier is reduced as much as possible; third, at the output end of the repeater, the total output power of each link is not greater than the saturation power; in the specific application of the objective function, the uplink and downlink losses of each link in the same port are the same, where it is assumed that the link Belong to input ports, then .

[0066] Step S22: Based on the objective function, the objective function is optimized by the logarithmic barrier method and the penalty function method, and the variable neighborhood search algorithm is used to solve it to generate a sub-band routing information table.

[0067] To better illustrate, 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 will gradually increase with the progress of iterations, so that during the optimization process, the solution is closer and closer to the boundary of the feasible domain; the penalty function method transforms the constrained optimization problem into a series of unconstrained problems by transforming the constraints into penalty terms and adding them to the objective function. During the iteration process, as the weight of the penalty terms gradually increases, the solution will increasingly satisfy the constraints in the original problem.

[0068] Furthermore, in step S22, based on the objective function, the objective function is optimized by the logarithmic barrier method and the penalty function method, and the corresponding calculation formula is:

[0069] in, represents the obstacle parameter; represents the penalty function.

[0070] Explanation: Obstacle parameters , 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 ; Penalty function , that is, let the penalty function The constraint violation tends to infinity to strictly punish the constraint violation and ensure that the forwarder working point can be as close to the saturation point as possible; then the variable neighborhood search algorithm is used to solve the optimized objective function and generate a sub-band routing information table, that is, multiple neighborhood structures are defined, each structure corresponds to a different search strategy, and the neighborhood structure of the search space is dynamically adjusted to effectively jump out of the local optimal solution and improve the global search capability; 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, the table is used to record the routing selection of each sub-band, including key performance indicators such as path, bandwidth allocation and possible delay.

[0071] Please combine Figure 2-Figure 4 The second embodiment of the present invention proposes an adjustment method for processing communication load parameter configuration, which is used to dynamically adjust the communication load parameter configuration after the optimization method for processing communication load parameter configuration provided by the first embodiment of the present invention is completed. The method includes: Step S101: Based on the optimized communication load parameter configuration, dynamically adjust the corresponding terminals that cannot communicate normally according to whether the number of terminals or channel conditions change; Step S102: if the number of terminals decreases, the communication load parameter configuration of the terminals that have always existed remains unchanged, the reduced terminals are disconnected, the occupied resources are recovered, and the repeater working point is searched; Step S103: If the number of terminals increases, the existing terminals keep the communication load parameter configuration unchanged, and search for each parameter configuration of the terminal transmission power and the corresponding satellite subchannel gain and the transponder working point; Step S104: If the channel condition of the terminal changes, the hinge relationship of all terminals remains unchanged, the transmission power of the unaffected terminal and the corresponding satellite subchannel gain remain unchanged, and the transmission power of the interrupted terminal and the corresponding satellite subchannel gain, as well as all transponder working points, are adjusted.

[0072] It is understandable that if the number of terminals or the channel conditions of some of the terminals change, it may lead to an increase in nonlinear effects, affecting the signal transmission quality; the total output power of the repeater exceeds the saturation power, deteriorating the signal transmission effect; the actual carrier-to-noise ratio at the receiving end is lower than the minimum required carrier-to-noise ratio, etc., a series of situations that affect normal communication, which in turn causes some terminals to be unable to communicate normally. Therefore, corresponding adjustments are made for different changes to ensure normal communication of the terminals. For terminals that can communicate normally and adjusted terminals, it is necessary to monitor the communication status all the time to prevent potential communication problems and ensure the stability of communication transmission.

[0073] Specifically, if the number of terminals decreases, the repeater recycles the transmission power and sub-channel resources of the terminals that cannot communicate normally, and the transmission power of the remaining terminals that can communicate normally, the corresponding sub-channel gain and hinge relationship remain unchanged, and then adjusts the working point, that is, the working point in the communication system; if the number of terminals increases, the repeater allocates the newly added terminals to new sub-channels and hinge relationships, and separately adjusts the transmission power, corresponding sub-channel gain and working point of the newly added terminals, while the communication load parameter configuration and hinge relationship of the original terminals remain unchanged; if the channel conditions of the terminals change, for example, some beam rain attenuation is small, resulting in a significant increase in the total output power of the repeater output end, search for links with significantly increased output power in these beams; or some beam rain attenuation increases, resulting in an actual carrier-to-noise ratio at the receiving end that is less than the minimum required carrier-to-noise ratio threshold, making the terminal unable to communicate normally, and perform parameter search separately for the terminals that cannot communicate normally; the communication dynamically adjusts the communication load parameter configuration according to different terminal changes, so that the terminals that were originally unable to communicate normally can resume communication, and can also ensure that the terminals that were originally communicating normally continue to communicate normally, thereby improving the applicability of the method.

[0074] Preferably, in order to ensure the feasibility of the methods proposed in the first embodiment and the second embodiment, simulation verification is performed; 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, each port corresponds to a beam, namely 4 uplink beams and 4 downlink beams, the terminal sends information to the satellite through the uplink beam, and the satellite sends the information to another terminal through the downlink beam after receiving it, wherein the simulation parameters of the total bandwidth of the transponder are set to 2000 MHz, the frequency is set to Ka, the number of single-port subchannels is 400, the subchannel bandwidth is 1.25 MHz, and the subchannel gain is -20 dB-20 dB; the terminal settings are shown in Table 1.

[0075] Table 1 Terminal simulation parameters

[0076] Based on the number of terminals being 400, the terminal transmit power, subchannel gain, output power of each link, and carrier-to-noise ratio before and after optimization are compared.

[0077] Specifically, see Figure 5 , which shows a comparison diagram of terminal transmission power before and after optimization of an optimization and adjustment method for processing communication load parameter configuration in an embodiment of the present invention; before optimization, the terminal transmission power defaults to the maximum power output, which is 50W, 20W and 10W respectively. After the optimization and adjustment method is used to adjust the transmission power of each terminal, the optimized data is evenly distributed, reflecting good communication performance.

[0078] See also Figure 6 , which shows a comparison diagram of the transponder subchannel gains before and after optimization of a method for optimizing and adjusting communication load parameter configuration in an embodiment of the present invention; before optimization, the gains of subchannels occupied by terminals are defaulted to the maximum, and the gains of unoccupied subchannels are defaulted to the minimum. After optimization, the subchannel gain data are more dispersed and are not limited to extreme maximum or minimum values.

[0079] See also Figure 7 , which shows a 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 load parameters in an embodiment of the present invention; before optimization, since the terminal transmission power is divided into three levels of 50W, 20W and 10W, and the gains of the occupied sub-channels are all maximum values, the corresponding output power of each link is three levels; after optimization, the output power is generally smaller, and the difference between them will also be smaller, which meets the optimization goal.

[0080] See also Figure 8, which shows a 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 load parameters in an embodiment of the present invention; the minimum required carrier-to-noise ratio is related to the rate, and in the setting of the 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 that the link can communicate normally.

[0081] Further, it is assumed that the condition obtained by using a method for adjusting the communication load parameter configuration is an increase in the number of terminals. At this time, at the corresponding analysis moment, some new terminals are added, assuming that the size and rate of the new terminals are the same, that is, corresponding to 3 types of terminals and a rate of 6Mb / s.

[0082] Please combine Figure 9-11 , which respectively show the transmission power comparison diagram of the newly added terminal before and after optimization, the occupied sub-channel gain comparison diagram, and the corresponding output power comparison diagram of an optimization and adjustment method for processing communication load parameter configuration in an embodiment of the present invention; before optimization, the transmission power of the new terminal is 50W, and the corresponding sub-channel gain is the maximum value, but this may not meet the power requirement and the nonlinear effect will also be large; after optimization and adjustment, the transmission power of each new terminal and the corresponding sub-channel gain are adjusted according to the difference of each link, so as to achieve the best balance in meeting the carrier-to-noise ratio requirements, reducing nonlinear effects and reducing total output power as much as possible.

[0083] Furthermore, when the rain attenuation of port 1 increases from 4dB to 10dB at the corresponding analysis moment, the communication links of some terminals in port 1 may be interrupted. The satellite needs to adjust the transmission power, subchannel gain, and working point of these terminals with interrupted communications to restore normal communication of the terminals. It can be shown that when the rain attenuation changes, there are 100 terminals in port 1, including 48 Class 3 terminals, 19 Class 2 terminals, and 33 Class 1 terminals.

[0084] Specifically, see Fig.12 , which shows a comparison diagram of the carrier-to-noise ratio of terminals in port 1 when there is 4 dB rain attenuation in a method for optimizing and adjusting communication load parameter configuration in an embodiment of the present invention; when the rain attenuation is 4 dB, the actual carrier-to-noise ratio of the receiving end corresponding to the 100 terminals in port 1 is greater than the minimum required carrier-to-noise ratio, and the terminals communicate normally at this time.

[0085] See also Fig.13, which shows a comparison diagram of the carrier-to-noise ratio of terminals in port 1 before optimization when there is a 10 dB rain attenuation in a method for optimizing and adjusting communication load parameter configuration in an embodiment of the present invention; when the rain attenuation suddenly increases to 10 dB, the actual carrier-to-noise ratio of the receiving end of all terminals in port 1 decreases, resulting in the actual carrier-to-noise ratio of the receiving end of some terminals being less than the minimum required carrier-to-noise ratio, causing these terminals to be unable to communicate normally, which corresponds to the black marks in the figure.

[0086] See also Fig.14 , which shows a comparison diagram of the terminal carrier-to-noise ratio in port 1 after optimization when there is 10 dB rain attenuation in a method for optimizing and adjusting communication load parameter configuration in an embodiment of the present invention; optimization and adjustment are performed based on the aforementioned terminal that cannot communicate normally, so that the link resumes normal communication, which corresponds to the green mark in the figure.

[0087] It can be understood that after verification by simulation experiments, the optimization and adjustment method proposed in this application makes optimization adjustments to the communication load parameter configuration, so that the communication performance is improved, the communication efficiency is improved, and according to the specific communication changes, the terminals that need to be adjusted can be adjusted separately, and other terminals can still maintain normal communication, ensuring the communication experience of other terminals.

[0088] The third embodiment of the present invention further proposes a computer storage medium, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method described in any one of the foregoing embodiments when executing the computer program.

[0089] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages 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.

[0090] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A method for optimizing communication load parameter configuration, characterized in that: The method comprises: Based on the signaling information transmitted by the terminal to the satellite, the satellite determines the terminal transmission power and the corresponding satellite subchannel gain, as well as each parameter configuration of the transponder working point, and forwards each parameter configuration to the signal gateway; The gateway station initially optimizes each parameter configuration, generates a sub-band routing information table, and sends each parameter configuration and sub-band routing information table after initial optimization to the satellite; The satellite adjusts the subchannel gain according to each parameter configuration and subband routing information table after initial optimization, sends signaling information to the terminal, and returns the updated information to the satellite after adjusting the transmission power; The satellite exchanges signals by updating information and combining the sub-band routing information table, and sends the exchanged signals to the destination terminal. After the completion instruction is generated, it is sent to the satellite. The satellite forwards the completion instruction to the gateway to complete the optimization of the communication payload parameter configuration.

2. The optimization method for processing communication load parameter configuration according to claim 1, characterized in that: Based on the terminal transmitting signaling information to the satellite, including: The signaling information includes dynamic changes in rain attenuation, link transmission differences, service demand differences and transmission systems; Define the dynamic change of rain attenuation and link transmission difference as uplink and downlink loss, and the corresponding logical expression is: ； ； in, , Respectively represent the forwarder Uplink loss and downlink loss of each input port; , Respectively represent the forwarder The uplink free propagation loss and downlink free propagation loss of each input port; , Respectively represent the forwarder Uplink rain attenuation and downlink rain attenuation of each input port; , Respectively represent the forwarder Uplink spurious loss and downlink spurious loss of each input port; Define the difference in service demand as the EIRP value of the upstream and downstream terminals; The transmission system is defined as carrier-to-noise ratio and subchannel gain, where the calculation formula corresponding to the carrier-to-noise ratio is: ； in, Indicates The carrier-to-noise ratio of the link; It represents the energy per bit; represents the power spectral density of the noise; Indicates the bit rate transmitted on the link.

3. The optimization method for processing communication load parameter configuration according to claim 2, characterized in that: The satellite determines the terminal transmit power and the corresponding satellite subchannel gain, as well as each parameter configuration of the transponder operating point, and forwards each parameter configuration to the gateway, including: Determine the operating point of the repeater. The corresponding calculation formula is: ； in, represents the operating point of the repeater; Indicates the transponder saturation power; Indicates the total number of links; Indicates The power of the link at the transponder input; Indicates Sub-channel gains; Indicates subchannel Assign to link ; represents a constant; represents the transponder input equivalent noise temperature; represents the transponder noise power spectral density; Indicates the total number of subchannels; Indicates Sub-channel bandwidth; Determine the terminal transmit power and the corresponding satellite subchannel gain. The corresponding calculation formula is: ； ； in, Indicates link Output power through the repeater; represents the transponder nonlinear gain compression function; represents the small signal compression factor.

4. The optimization method for processing communication load parameter configuration according to claim 3, characterized in that: The gateway station initially optimizes each parameter configuration, generates a sub-band routing information table, and sends each parameter configuration and sub-band routing information table after initial optimization to the satellite, including: Introduce standard deviation and mean value, and build the objective function in combination with each parameter configuration; Based on the objective function, the objective function is optimized by logarithmic barrier method and penalty function method, and the variable neighborhood search algorithm is used to solve it and generate the sub-band routing information table.

5. The optimization method for processing communication load parameter configuration according to claim 4, characterized in that: Construct the objective function, and the corresponding calculation formula is: ； ； ； ； ； ； ； ； in, represents the standard deviation of the output power of all links; Represents the average value of the output power of all links; Indicates the total number of links; Indicates link Output power through the repeater; Indicates The carrier-to-noise ratio of the link; Indicates Downlink loss of the link; Indicates Spectral density of noise and interference for each link, including uplink noise, adjacent channel interference, intermodulation components, and downlink noise power spectral density; represents a constant; represents the transponder input equivalent noise temperature; Indicates the link is assigned No. Sub-channel gains; represents the transponder nonlinear gain compression function; Indicates the signal in the repeater With signal The elements in the resulting spectral aliasing matrix; represents the intermodulation characteristic function; Indicates the intermodulation spectrum density adjustment factor when the high power amplifier is saturated; represents the transponder subchannel bandwidth; It represents the equivalent input noise temperature of the terminal; represents the operating point of the repeater; Indicates the transponder saturation power; Indicates the total output power of the transponder.

6. The optimization method for processing communication load parameter configuration according to claim 5, characterized in that: Based on the objective function, the objective function is optimized by the logarithmic barrier method and the penalty function method. The corresponding calculation formula is: ； in, represents the obstacle parameter; represents the penalty function.

7. A method for adjusting communication load parameter configuration, characterized in that: The method for dynamically adjusting the optimized communication load parameter configuration according to any one of claims 1 to 6 comprises: Based on the optimized communication load parameter configuration, dynamically adjust the corresponding terminals that cannot communicate normally according to whether the number of terminals or channel conditions change; If the number of terminals decreases, the existing terminals keep the communication load parameter configuration unchanged, disconnect the reduced terminals, reclaim the occupied resources, and search for the repeater working point; If the number of terminals increases, the existing terminals keep the communication load parameter configuration unchanged, and search for each parameter configuration of the terminal transmission power and the corresponding satellite subchannel gain and the transponder working point; If the channel conditions of the terminal change, the hinge relationship of all terminals remains unchanged, the transmission power of the unaffected terminal and the corresponding satellite sub-channel gain remain unchanged, and the transmission power of the interrupted terminal and the corresponding satellite sub-channel gain, as well as all transponder operating points, are adjusted.

8. 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 according to any one of claims 1 to 6 or claim 7 are implemented.

Images