Unified description method of time-frequency resource for heterogeneous constellation system
By constructing a logical resource grid with globally shared time and frequency basic units, the physical layer resource requirements of heterogeneous constellation systems are mapped to a channel container mode, which solves the resource scheduling compatibility problem between heterogeneous constellation systems and improves network resource utilization and flexibility.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEIJING UNIV OF POSTS & TELECOMM
- Filing Date
- 2026-03-26
- Publication Date
- 2026-06-09
Smart Images
Figure CN122178990A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of satellite communication network resource management technology, and more specifically, to a unified description method for time and frequency resources of heterogeneous constellation systems. Background Technology
[0002] Currently, with the accelerated construction of global space information infrastructure, heterogeneous constellations characterized by large-scale networking of low Earth orbit (LEO) satellites have become a key component and strategic high ground for providing seamless global communication coverage and building an integrated space-ground information network. Against this backdrop, various constellation systems serving commercial markets and strategic needs are developing rapidly in parallel. On the one hand, this greatly expands the boundaries of human information acquisition and interaction; on the other hand, significant differences in technological systems, resource management methods, and security levels have brought unprecedented challenges to achieving cross-system resource integration and unified scheduling. The fact that different constellation systems operate independently at the resource management level, lacking a unified interaction and coordination mechanism, has become a core bottleneck restricting further improvement in the effectiveness of the entire space-based network system.
[0003] In existing technologies, in heterogeneous constellation networks, commercial systems (such as Starlink and OneWeb) often use technologies such as Orthogonal Frequency Division Multiple Access (OFDMA) based on regular time-frequency grids to pursue high capacity; while military systems (such as those using protected tactical waveform PTW) often use irregular and dynamic waveforms such as frequency hopping and direct sequence spread spectrum to improve anti-jamming capabilities.
[0004] However, the aforementioned technical approaches are essentially designed for resource optimization within homogeneous systems, and they all have serious limitations in addressing the integration issues between heterogeneous systems. Furthermore, these approaches are essentially "physical waveform-oriented" resource management schemes, where scheduling decisions are directly and deeply coupled with the physical layer parameters of specific waveforms, such as subcarrier indices and frequency hopping patterns. This tightly coupled design means that any cross-system resource coordination must delve into the complex, even confidential, physical layer details of the other system. This is technically difficult to achieve and security-unacceptable, resulting in existing technologies being incompatible with different physical layer waveforms in different constellation systems. Consequently, heterogeneous constellation systems cannot directly support cross-system collaborative scheduling. Summary of the Invention
[0005] The purpose of this application is to provide a unified time-frequency resource description method for heterogeneous constellation systems, which solves the above-mentioned problems in the prior art and can shield the underlying physical differences between different constellation systems.
[0006] Firstly, a unified time-frequency resource description method for heterogeneous constellation systems is provided, which may include: Determine globally shared basic units of time and frequency as common units for the native time-frequency parameters of the heterogeneous constellation systems to be merged; based on the basic units of time and frequency, construct a standard logical resource grid consisting of time and frequency dimensions. A rectangular area within the logical resource grid, whose time span is the basic time unit and whose frequency span is the basic frequency unit, is defined as a basic logical resource unit. Based on the basic logical resource unit, a channel container is created for each communication task to be scheduled. The channel container includes the resource occupancy mode corresponding to the communication task. Based on the physical layer waveform scheme of the communication task, the physical layer resource requirements of the communication task are mapped to the resource occupancy pattern represented by the channel container.
[0007] Secondly, a unified time-frequency resource description device for heterogeneous constellation systems is provided, the device may include: The module is used to determine the globally shared basic units of time and frequency as the common units of the native time and frequency parameters of the heterogeneous constellation systems to be merged; based on the basic units of time and frequency, a standard logical resource grid consisting of time and frequency dimensions is constructed. A definition module is used to define a rectangular area in the logical resource grid with a time span equal to the basic time unit and a frequency span equal to the basic frequency unit as a basic logical resource unit; based on the basic logical resource unit, a channel container is created for each communication task to be scheduled; the channel container includes the resource occupancy mode corresponding to the communication task; The mapping module is used to map the physical layer resource requirements of the communication task to the resource occupancy pattern represented by the channel container based on the physical layer waveform scheme of the communication task.
[0008] Thirdly, an electronic device is provided, which includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; When a processor executes a program stored in memory, it implements any of the steps described in the first aspect above.
[0009] Fourthly, a computer-readable storage medium is provided, wherein a computer program is stored therein, and when executed by a processor, the computer program implements the steps of any of the methods described in the first aspect above.
[0010] This application provides a unified time-frequency resource description method for heterogeneous constellation systems. It determines globally shared basic time and frequency units as common units for the native time-frequency parameters of the heterogeneous constellation systems to be merged. Based on these basic time and frequency units, a standard logical resource grid consisting of time and frequency dimensions is constructed. A rectangular region within the logical resource grid, with a time span equal to the basic time unit and a frequency span equal to the basic frequency unit, is defined as a basic logical resource unit. Based on these basic logical resource units, a channel container is created for each communication task to be scheduled. The channel container includes the resource occupancy pattern corresponding to the communication task. Based on the physical layer waveform regime of the communication task, the physical layer resource requirements of the communication task are mapped to the resource occupancy pattern represented by the channel container. This solution constructs a logical resource grid that can accurately measure heterogeneous waveform units and innovatively maps diverse physical layer waveform regimes, i.e., physical layer waveform occupancy behaviors, to logical operations on standardized channel containers with geometric and dynamic attributes. This achieves decoupling between the control plane and the bearer plane, providing core technical support for unified resource assessment and collaborative scheduling across systems at the upper layer. Therefore, by uniformly quantifying and comparing the time-frequency resource occupancy of waveform systems at different physical layers, the complexity of the underlying physical implementation of different constellation systems is shielded from the upper layers, significantly reducing the technical difficulty of developing cross-system collaborative scheduling algorithms, and laying the foundation for improving the overall resource utilization and flexibility of heterogeneous giant constellation networks. Attached Figure Description
[0011] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.
[0012] Figure 1 A flowchart illustrating a unified time-frequency resource description method for heterogeneous constellation systems provided in this application embodiment; Figure 2 A flowchart illustrating a unified time-frequency resource description method for heterogeneous constellation systems provided in this application embodiment; Figure 3 This application provides a scenario diagram for verifying simulation results of frequency adjustment granularity; Figure 4 This application provides a scenario diagram for verifying simulation results of time slot adjustment granularity; Figure 5 A schematic diagram of the structure of a time-frequency resource unified description device for heterogeneous constellation systems provided in this application embodiment; Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation
[0013] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application. Unless otherwise defined, the technical or scientific terms used in this application should have the ordinary meaning understood by those skilled in the art. The words "first," "second," and similar terms used in this application do not indicate any order, quantity, or importance, but are only used to distinguish different components. The words "comprising" or "including," etc., mean that the element or object preceding the word covers the element or object listed after the word and its equivalents, but do not exclude other elements or objects. The words "connected," "coupled," or "connected," etc., are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. "Up," "down," "left," "right," etc., are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.
[0014] The time-frequency resource unified description method for heterogeneous constellation systems provided in this application embodiment can be applied to electronic devices, terminal devices, time-frequency resource unified description devices for heterogeneous constellation systems, or other devices or equipment capable of executing this embodiment, and there are no limitations on this application. In this embodiment, the execution subject is described as an electronic device.
[0015] The terminal can be a user equipment (UE) such as a mobile phone, smartphone, laptop computer, digital broadcast receiver, personal digital assistant (PDA), or tablet computer (PAD), handheld device, in-vehicle device, wearable device, computing device, or other processing device connected to a wireless modem, mobile station (MS), or mobile terminal. This terminal has the ability to communicate with one or more core networks via a radio access network (RAN).
[0016] The preferred embodiments of this application are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit this application. Furthermore, the embodiments and features in the embodiments of this application can be combined with each other without conflict.
[0017] Figure 1 This is a flowchart illustrating a method for unified time-frequency resource description of heterogeneous constellation systems, provided as an embodiment of this application. Figure 1 As shown, the method may include: Step S101: Determine the globally shared basic units of time and frequency as the common units of the native time and frequency parameters of the heterogeneous constellation systems to be merged; based on the basic units of time and frequency, construct a standard logical resource grid consisting of time and frequency dimensions.
[0018] For example, a by A convergent network consisting of independent, heterogeneous giant constellation systems can be defined as a set Each of the Giant Star systems Operating in low Earth orbit, it possesses a unique physical layer waveform system and resource management mechanism. The total available time-frequency resources of the entire fused network can be abstracted as a two-dimensional plane, with its time dimension... ,in It is the planning cycle; frequency dimension ,Depend on It consists of several discontinuous available frequency bands.
[0019] Specifically, converged networks are designed to provide Each independent communication task provides services, and the set of tasks is denoted as . Each communication task Each of these can be fully and accurately described by a tuple, as defined below:
[0020] In this tuple It is the unique identifier for the task. This represents the minimum average data transfer rate required during the execution of the task. This represents the maximum end-to-end latency that the task can tolerate. This represents the priority of the task, usually an integer, with smaller values indicating higher priority. The effective time window for a task is defined, meaning that a task can only be scheduled and executed within this time window. It is an enumeration type used to specify the physical layer waveform type associated with the task, which can be a specific waveform such as Orthogonal Frequency Division Multiple Access (OFDMA), Frequency Hopping (FH), or Direct Sequence Spread Spectrum (DS-SS). It is then defined as an auxiliary attribute set that includes all other necessary constraints and preference parameters, in order to support more complex scheduling decisions.
[0021] In this step, firstly, the heterogeneous constellation system set included in the target fusion scenario is identified, such as a commercial constellation using OFDMA and a military constellation using frequency hopping waveforms. The finest time-frequency parameters of each system's physical layer are analyzed. By finding the common divisor (or the least common multiple satisfying integer multiple relationships) of these parameters, a globally shared basic time unit (e.g., 10 microseconds) and a basic frequency unit (e.g., 1 kilohertz) are determined. Based on the basic time and frequency units, a logical resource grid covering the planning period and the total system bandwidth is constructed. This involves dividing the time-frequency two-dimensional plane using the basic time and frequency units to construct a standardized logical resource grid. The time-frequency two-dimensional plane is determined based on the resource space composed of the time and frequency dimensions.
[0022] Step S102: Define a rectangular area in the logical resource grid with a time span of time basic units and a frequency span of frequency basic units as a logical resource basic unit; based on the logical resource basic unit, create a channel container for each communication task to be scheduled; the channel container includes the resource occupancy mode corresponding to the communication task.
[0023] For example, the smallest cell in the logical resource grid is defined as a logical resource basic unit (RU). The smallest cell is a rectangular area with a time span of time basic units and a frequency span of frequency basic units. When a physical resource request for a communication task is received, regardless of the constellation system from which the task request originates, a "channel container" data object is generated for the task request. The "channel container" data object records the task ID and reserves a "resource occupancy mode" attribute field.
[0024] Step S103: Based on the physical layer waveform structure of the communication task, map the physical layer resource requirements of the communication task to the resource occupancy pattern represented by the channel container.
[0025] For example, this step performs the crucial resource characterization step. It identifies the physical layer waveform scheme used by the communication task; different types of tasks correspond to different physical layer waveform schemes. For instance, for a DS-SS task, the corresponding mapping rule is invoked: based on the spreading bandwidth (e.g., 2MHz) and symbol length (e.g., 100 microseconds) requested by the DS-SS task, the number of frequency units (e.g., 2000 1kHz units) and time units (e.g., 10 10-microsecond units) required by the DS-SS task on the logical resource grid are calculated, thereby generating a rectangular area composed of 2000 × 10 RUs, and this area is defined as the resource occupancy mode of the container object. For an FH task, based on the frequency hopping period, dwell time, and frequency hopping sequence, a series of sub-container sets discretely distributed in time and frequency are generated; these sub-container sets represent the resource occupancy mode of the channel container. For an OFDMA task, the requested subcarriers and time slot indices are directly converted into the corresponding RU sets; these RU sets represent the resource occupancy mode of the channel container.
[0026] Therefore, through the above steps, all heterogeneous physical resource requests are transformed into operations on standard container objects on the logical resource grid. The upper-level scheduling algorithm only needs to perform conflict detection, resource evaluation, and allocation decisions based on the resource occupancy patterns of these containers, without needing to concern itself with the underlying waveform details.
[0027] The method provided in this application determines globally shared basic time and frequency units as common units for the native time-frequency parameters of the heterogeneous constellation systems to be merged. Based on the basic time and frequency units, a standard logical resource grid consisting of time and frequency dimensions is constructed. A rectangular region within the logical resource grid, with a time span equal to the basic time unit and a frequency span equal to the basic frequency unit, is defined as a basic logical resource unit. Based on the basic logical resource units, a channel container is created for each communication task to be scheduled. The channel container includes the resource occupancy pattern corresponding to the communication task. Based on the physical layer waveform regime of the communication task, the physical layer resource requirements of the communication task are mapped to the resource occupancy pattern represented by the channel container. In this scheme, by constructing a logical resource grid that can accurately measure heterogeneous waveform units, and innovatively mapping diverse physical layer waveform regimes, i.e., physical layer waveform occupancy behavior, to logical operations on standardized channel containers with geometric and dynamic attributes, the decoupling of the control plane and the bearer plane is achieved, providing core technical support for unified resource assessment and collaborative scheduling across systems at the upper layer. Therefore, by uniformly quantifying and comparing the time-frequency resource occupancy of waveform systems at different physical layers, the complexity of the underlying physical implementation of different constellation systems is shielded from the upper layers, significantly reducing the technical difficulty of developing cross-system collaborative scheduling algorithms, and laying the foundation for improving the overall resource utilization and flexibility of heterogeneous giant constellation networks.
[0028] Figure 2 A flowchart illustrating a unified time-frequency resource description method for heterogeneous constellation systems provided in this application is shown below. Figure 2 As shown, in this embodiment... Figure 1 Based on the embodiments, the method is described in detail below, and the method includes: Step S201: Determine the globally shared basic units of time and frequency as the common units of the native time and frequency parameters of the heterogeneous constellation systems to be merged; based on the basic units of time and frequency, construct a standard logical resource grid consisting of time and frequency dimensions.
[0029] In one example, the derivation strategy for the basic units of time and frequency includes: for any heterogeneous constellation system among the K heterogeneous constellation systems to be merged, the time resolution and frequency resolution of the original time-frequency primitives of the heterogeneous constellation system can be expressed as integer multiples of the basic units of time and frequency, respectively.
[0030] For example, a universal mathematical model, independent of any specific communication system, is first constructed—the time-frequency resource abstraction model—as the common foundation for subsequent heterogeneous waveform resource representation. The time-frequency resource abstraction model refers to a complete description system that uses a "logical resource grid" as the reference coordinate, a "channel container" as the standardized interface, and "mapping rules" to transform physical requirements into logical interfaces. The core task of this modeling process is to abstract a set of common elements and structures from various heterogeneous physical layer implementations, which can be used for unified quantification and description. This includes establishing a globally consistent discretized time-frequency coordinate system and defining core logical objects on this coordinate system that can encapsulate communication task requirements. The completion of this modeling work provides the theoretical foundation and mathematical tool for solving the unified representation of heterogeneous systems.
[0031] This step involves constructing a logical resource grid, including: establishing a globally unified two-dimensional time-frequency discretized coordinate system as a common benchmark for resource quantization across all heterogeneous systems. This coordinate system is defined by setting a globally shared, sufficiently fine, minimum basic time scale. and the smallest fundamental frequency scale To define. and The value of follows a pattern that allows for precise representation of all elements to be fused in integer multiples. A constellation system In each of them, the most refined original time-frequency primitives The principle is to satisfy:
[0032] in, They are respectively constellation systems The corresponding time and frequency integer conversion coefficients. This is achieved by plotting the coefficients on the time and frequency axes respectively. and By dividing the system into basic units, a standardized logical resource grid is formed. This grid provides a common metric for the physical resources of all heterogeneous constellation systems. Any physical resource block, regardless of its original form, can find a unique and quantifiable coordinate range on this unified coordinate system.
[0033] Therefore, by constructing a general time-frequency resource abstraction model, a unified quantification and standardized description of heterogeneous waveform resources can be achieved, providing core technical support for realizing integrated resource scheduling across constellations. This significantly improves the overall resource utilization efficiency and flexibility of the space-based network system and solves the problem that different giant constellation systems cannot coordinate resources due to differences in communication systems.
[0034] Step S202: Define the rectangular area in the logical resource grid whose time span is the basic unit of time and whose frequency span is the basic unit of frequency as the basic unit of logical resource.
[0035] For example, on top of an existing logical resource grid, a Logical Resource Basic Unit (RU) is defined as the smallest logical block within the grid. An RU spans a certain distance in the time dimension. The span in the frequency dimension is The rectangular region is the indivisible logical resource unit in this model. The entire time-frequency resource pool... It can be represented as the set of all RUs.
[0036] Step S203: Based on the basic logical resource unit, create a channel container for each communication task to be scheduled; the channel container includes the resource occupancy mode corresponding to the communication task.
[0037] In one example, the dynamic adjustment of the characterized channel container is carried out with time and frequency units as the adjustment granularity, and the time domain span or frequency domain span of the resource unit set defined by the resource occupancy pattern is dynamically modified.
[0038] For example, to achieve an abstract description of communication tasks, the concept of a channel container is further defined. A channel container is used to carry communication tasks. Channel container Formally defined, it is a tuple that fully describes the core properties of the resources required for a communication task:
[0039] in, It is a unique identifier for communication tasks. It is a business requirement parameter vector that includes communication task priorities. Required data transmission rate wait. It is a service quality parameter vector that includes the maximum latency. Constraints such as minimum reliability. It is a pending resource occupancy pattern, which mathematically defines the set of RUs occupied by the communication task when it is mapped onto a logical resource grid. The required form and behavior.
[0040] In this step, a channel container is created for each communication task to be scheduled, based on the basic logical resource unit. Optionally, the dynamic adjustment of the characterized channel container can be performed at the granularity of time and frequency units, dynamically modifying the time-domain span or frequency-domain span of the resource unit set defined by the resource occupancy pattern.
[0041] Step S204: Identify the physical layer waveform system used by the communication task.
[0042] For example, the physical layer waveform scheme used by the communication task is identified. Different types of tasks correspond to different physical layer waveform schemes. For example, tasks include DS-SS tasks, FH tasks, or OFDMA tasks, etc.
[0043] Step S205: Select the target mapping rule corresponding to the physical layer waveform system from the predefined mapping rule set; wherein, the mapping rule set includes multiple mapping rules.
[0044] In one example, the predefined set of mapping rules includes direct sequence spread spectrum mapping rules, which define the corresponding resource occupancy pattern as: a set of rectangular resource cells on the logical resource grid, where the frequency span corresponds to the total bandwidth after spread spectrum and the time span corresponds to the duration of a single spread spectrum symbol.
[0045] In one example, the predefined set of mapping rules includes frequency hopping mapping rules, which define the corresponding resource occupancy pattern as: a sequence of channel containers consisting of multiple sub-containers, where each sub-container corresponds to a frequency hopping dwell time, and the position of each sub-container on the frequency axis changes dynamically according to the frequency hopping pattern.
[0046] In one example, the predefined mapping rule set includes regularized grid mapping rules, which directly define the corresponding resource occupancy pattern as: the set of resource cells corresponding to the specified symbol index set and subcarrier index set on the logical resource grid; for single-carrier frequency division multiple access waveforms, the resource occupancy pattern is subject to the constraint of frequency domain continuity.
[0047] For example, this step performs heterogeneous waveform resource characterization. Based on unified time-frequency resource modeling, a standardized characterization method for heterogeneous waveforms to a general model is established. The core of this method is to define a series of formal mapping rules, aiming to transform the complex and diverse resource occupancy behaviors of different waveforms at the physical level into specific assignment operations on the attributes of the upper-layer abstract channel container.
[0048] Specifically, let the set of RUs on the time-frequency plane be... The business mapping of different systems can then be formalized as a function. :
[0049] in, Represents the original signal system space. This represents the power set of the RU set.
[0050] The proposed mapping mechanism models three fundamental paradigms of time-frequency resource allocation in modern digital communication, constructing a highly scalable methodology. These three paradigms are: continuous frequency broadband spread, discrete frequency dynamic hopping, and regularized grid allocation. The specific mapping rules will be illustrated below using direct sequence spread spectrum (DS-SS), frequency hopping (FH), and OFDMA / SC-FDMA as examples.
[0051] 1. Characterization rules for typical heterogeneous waveforms (1) Mapping of military direct sequence spread spectrum (DS-SS) waveforms For direct sequence spread spectrum (DS-SS) waveforms, the key characteristic is the expansion of signal energy into a spectral range much larger than the original information bandwidth, corresponding to the frequency-continuous broadband spread paradigm. A DS-SS task is mapped in the model as a channel container with a geometrically large frequency span and a relatively small time span. The frequency span of this container... Precisely corresponds to the total RF bandwidth after spread spectrum Time span This corresponds to the duration of a single spreading symbol. Furthermore, for direct sequence spread spectrum waveforms, the main characteristic is that the original information symbol is multiplied by a high-rate pseudo-random code sequence, thereby spreading the signal energy across a wide bandwidth. The key performance parameter of this process is the processing gain (Gp), which defines the ratio of the spread bandwidth to the original information rate and is a core indicator for measuring the system's anti-interference capability. Resource occupancy mapping Formalized as:
[0052] Processing gain As an important additional attribute of the container, it does not change the geometry, but it is used as a key parameter when the scheduler performs link budget and anti-interference performance evaluation. It represents the smallest resource unit located at time coordinate t and frequency coordinate f on a unified logical resource grid; This indicates the start time of the DS-SS channel container on the time axis; This represents the starting point of time for any RU contained within the container. This indicates the starting frequency of the DS-SS channel container on the frequency axis; This represents the starting point (or center frequency) of any RU contained within the container.
[0053] (2) Mapping of military frequency hopping (FH) waveforms For frequency-hopping waveforms, resource occupancy is segmented in time and hops in frequency, corresponding to the frequency discretization dynamic hopping paradigm. An FH task is mapped to a sequence of channel containers. Each sub-container in the sequence Each defines a rectangle with a very small time span and a specific frequency span. Time span Precisely corresponds to the dwell time of the frequency hopping signal. These sub-containers appear sequentially in time, but at the same center frequency on the frequency axis. It is based on a pseudo-random sequence With time step Dynamically changing. Mapping It is represented as the union of a set of RU sets, as follows:
[0054] Among them, center frequency The jump satisfies Frequency grid alignment constraints; This represents the bandwidth of a single frequency hopping channel; This represents the center frequency of the signal carrier during the i-th frequency hopping.
[0055] (3) Mapping of regularized grid waveforms (OFDMA / SC-FDMA) for civilian and commercial use For OFDMA and SC-FDMA systems commonly used in civilian and commercial constellations, resource allocation corresponds to a regularized grid allocation paradigm. For a task allocated specific subcarriers and OFDM symbols, resources can be directly mapped to a set of RUs (Resource Registries). For a set of symbols occupied... and subcarrier index set OFDMA task, mapping for: , in, Denotes a resource unit, where t i and f j These are the time and frequency coordinates on the logical resource grid, respectively. Here, to align with the OFDM physical layer, t... i This can be understood as the starting point of time corresponding to the i-th OFDM symbol, f j This can be understood as the center frequency corresponding to the j-th subcarrier.
[0056] For SC-FDMA systems, in addition to the mapping described above, a frequency continuity constraint is also required. This relates to the resource occupancy pattern of the channel container. This manifests as a constraint that requires subcarriers allocated to the same user to be continuous in the frequency domain. For example, for a single-carrier frequency division multiple access (SC-FDMA) waveform, the mapping rule, based on representing the task as a set of logical resource units corresponding to specified symbols and subcarrier indices, requires that the set of subcarrier indices form a continuous block in the frequency domain; this is the frequency domain continuity constraint.
[0057] Optionally, the three mapping rules described above constitute the minimum complete set describing the time-frequency characteristics of most known communication waveforms. For other more complex waveforms, such as hybrid waveforms like PTW, resource occupancy patterns can be considered as linear combinations or nested applications of these three basic paradigms (e.g., within a wideband DS-SS type container, further FH type subchannel transitions). Therefore, by disclosing these three basic mapping rules, this invention actually provides a sufficiently scalable mapping methodology to cover all existing and foreseeable heterogeneous waveforms, rather than being limited to the specific examples mentioned above. Through these precise mathematical mappings, all heterogeneous, physical-level waveform resource requests are transformed into logical operations on standardized channel containers on a unified time-frequency grid, providing a standardized interface for upper-level unified cooperative scheduling algorithms, thereby fundamentally solving the compatibility problem.
[0058] Step S206: Based on the target mapping rules, the physical layer resource requirements of the communication task are converted into the resource occupancy mode represented by the channel container.
[0059] For example, based on the target mapping rules, the physical layer resource requirements of the communication task are converted into the resource occupancy mode corresponding to the channel container.
[0060] The method provided in this application determines globally shared basic time units and basic frequency units as common units for the native time-frequency parameters of the heterogeneous constellation systems to be merged. Based on the basic time units and basic frequency units, a standard logical resource grid consisting of time and frequency dimensions is constructed. A rectangular region within the logical resource grid, with a time span of the basic time unit and a frequency span of the basic frequency unit, is defined as a basic logical resource unit. Based on the basic logical resource units, a channel container is created for each communication task to be scheduled; the channel container includes the resource occupancy pattern corresponding to the communication task. The physical layer waveform regime used by the communication task is identified. From a predefined set of mapping rules, a target mapping rule corresponding to the physical layer waveform regime is selected; wherein the mapping rule set includes multiple mapping rules. Based on the target mapping rule, the physical layer resource requirements of the communication task are converted into the resource occupancy pattern represented by the channel container. Therefore, by uniformly quantifying and comparing the time-frequency resource occupancy of different physical layer waveform regimes, the complexity of the underlying physical implementation of different constellation systems is shielded from the upper layer, significantly reducing the technical difficulty of developing cross-system cooperative scheduling algorithms, and laying the foundation for improving the overall resource utilization and flexibility of the heterogeneous constellation network.
[0061] In one embodiment, this application is applied to a typical heterogeneous giant constellation fusion scenario to verify the ability to support dynamic resource adjustment through simulation experiments.
[0062] Specifically, the simulation scenario includes a civilian-commercial bearer network based on Orthogonal Frequency Division Multiple Access (OFDMA) technology, represented by Starlink, to simulate the time response characteristics of advanced LEO constellations. The simulation process focuses on a tactical waveform task with high dynamic requirements, with an initial bandwidth of 1500kHz and an initial time slot duration of 20ms. During the simulation, to simulate the adaptive behavior of the tactical waveform in a real tactical environment, the system received and executed a series of pre-planned dynamic resource adjustment instructions that took effect at discrete time points: In the frequency dimension, the bandwidth requirement of the task was adjusted to 1800kHz, 2500kHz, 2250kHz, 3000kHz, and 2900kHz at simulation times of 26.60ms, 39.90ms, 66.50ms, 79.80ms, and 93.10ms, respectively; in the time dimension, its time slot duration requirement was adjusted to 35ms, 15ms, 50ms, and 25ms at simulation times of 20.0ms, 45.0ms, 70.0ms, and 90.0ms, respectively.
[0063] Under the above simulation conditions, this example records and analyzes the actual execution of these dynamic adjustment requests by the system based on the modeling method of this invention. The simulation results are as follows: Figure 3 and Figure 4 As shown. Figure 3 This application provides a scenario diagram for verifying simulation results of frequency adjustment granularity. Figure 3 The stepped curves in the figure represent the bandwidth evolution results under this scheme. It can be seen that the magnitude of each bandwidth adjustment, i.e., the actual frequency adjustment granularity (e.g., 300kHz, 700kHz, etc.), achieves a precision far less than the megahertz level. This result demonstrates that this scheme possesses high-precision frequency adjustment capabilities, sufficient to meet the precise bandwidth requirements of most tactical data links. Figure 4 This application provides a scenario diagram for verifying simulation results of time slot adjustment granularity. Figure 4 The stepped curves in the figure represent the evolution of time slot duration. It can be seen that the adjustment magnitude of each time slot duration, i.e., the actual granularity of the time slot adjustment (e.g., 15ms, 20ms, 35ms, etc.), achieves flexibility at the tens of millisecond level. This result indicates that the proposed solution can support efficient scheduling of short-duration bursty services and flexible allocation of time resources. In summary, the simulation results demonstrate that the unified modeling method proposed in this invention can effectively characterize and support the time-frequency resource adjustment requirements of tactical waveforms in highly dynamic scenarios, possessing high-precision and highly flexible dynamic adjustment capabilities.
[0064] Corresponding to the above method, embodiments of this application also provide a unified time-frequency resource description device for heterogeneous constellation systems, such as... Figure 5 As shown, the device includes: Module 41 is used to determine the globally shared basic units of time and frequency as the common units of the native time and frequency parameters of the heterogeneous constellation systems to be merged; based on the basic units of time and frequency, a standard logical resource grid consisting of time and frequency dimensions is constructed. The definition module 42 is used to define a rectangular area in the logical resource grid with a time span equal to the basic time unit and a frequency span equal to the basic frequency unit as a basic logical resource unit; based on the basic logical resource unit, a channel container is created for each communication task to be scheduled; the channel container includes the resource occupancy mode corresponding to the communication task; The mapping module 43 is used to map the physical layer resource requirements of the communication task to the resource occupancy mode represented by the channel container based on the physical layer waveform scheme of the communication task.
[0065] The functions of each functional unit of the time-frequency resource unified description device for heterogeneous constellation systems provided in the above embodiments of this application can be implemented through the above method steps. Therefore, the specific working process and beneficial effects of each unit in the time-frequency resource unified description device for heterogeneous constellation systems provided in the embodiments of this application will not be repeated here.
[0066] This application also provides an electronic device, such as... Figure 6 As shown, it includes a processor 510, a communication interface 520, a memory 530, and a communication bus 540, wherein the processor 510, the communication interface 520, and the memory 530 communicate with each other through the communication bus 540.
[0067] Memory 530 is used to store computer programs; The processor 510 performs the above steps when executing the program stored in the memory 530.
[0068] The communication bus mentioned above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not mean that there is only one bus or one type of bus.
[0069] The communication interface is used for communication between the aforementioned electronic devices and other devices.
[0070] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.
[0071] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.
[0072] The implementation methods and beneficial effects of the various components of the electronic device in the above embodiments for solving the problem can be found in [reference needed]. Figure 1The steps in the illustrated embodiments are used to implement the electronic device. Therefore, the specific working process and beneficial effects of the electronic device provided in this application will not be repeated here.
[0073] In another embodiment provided in this application, a computer-readable storage medium is also provided, which stores instructions that, when executed on a computer, cause the computer to perform the time-frequency resource unified description method for heterogeneous constellation systems described in any of the above embodiments.
[0074] In another embodiment provided in this application, a computer program product containing instructions is also provided, which, when run on a computer, causes the computer to execute any of the time-frequency resource unified description methods for heterogeneous constellation systems described in the above embodiments.
[0075] Those skilled in the art will understand that the embodiments in this application can be provided as methods, systems, or computer program products. Therefore, the embodiments in this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the embodiments in this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0076] This application describes embodiments of methods, apparatus (systems), and computer program products according to embodiments of this application with reference to flowchart illustrations and / or block diagrams. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0077] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0078] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0079] Although preferred embodiments have been described in this application, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of this application.
[0080] Obviously, those skilled in the art can make various modifications and variations to the embodiments of this application without departing from the spirit and scope of the embodiments of this application. Therefore, if these modifications and variations to the embodiments of this application fall within the scope of the claims in this application and their equivalents, then this application also intends to include these modifications and variations.
Claims
1. A unified time-frequency resource description method for heterogeneous constellation systems, characterized in that, The method includes: Determine globally shared basic units of time and frequency as common units for the native time-frequency parameters of the heterogeneous constellation systems to be merged; based on the basic units of time and frequency, construct a standard logical resource grid consisting of time and frequency dimensions. A rectangular area within the logical resource grid, whose time span is the basic time unit and whose frequency span is the basic frequency unit, is defined as a basic logical resource unit. Based on the basic logical resource unit, a channel container is created for each communication task to be scheduled. The channel container includes the resource occupancy mode corresponding to the communication task. Based on the physical layer waveform scheme of the communication task, the physical layer resource requirements of the communication task are mapped to the resource occupancy pattern represented by the channel container.
2. The method as described in claim 1, characterized in that, The derivation strategy for the basic time unit and the basic frequency unit includes: for any heterogeneous constellation system among the K heterogeneous constellation systems to be merged, the time resolution and frequency resolution of the original time-frequency primitives of the heterogeneous constellation system can be expressed as integer multiples of the basic time unit and the basic frequency unit, respectively.
3. The method as described in claim 1, characterized in that, Based on the physical layer waveform scheme of the communication task, the physical layer resource requirements of the communication task are mapped to the resource occupancy pattern represented by the channel container, including: Identify the physical layer waveform scheme used by the communication task; From a predefined set of mapping rules, a target mapping rule corresponding to the physical layer waveform scheme is selected; wherein, the set of mapping rules includes multiple mapping rules; Based on the target mapping rule, the physical layer resource requirements of the communication task are converted into the resource occupancy pattern represented by the channel container.
4. The method as described in claim 3, characterized in that, The predefined mapping rule set includes direct sequence spread spectrum mapping rules, which define the corresponding resource occupancy pattern as follows: on the logical resource grid, the frequency span corresponds to the total bandwidth after spread spectrum and the time span corresponds to the duration of a single spread spectrum symbol, forming a set of rectangular resource units.
5. The method as described in claim 3, characterized in that, The predefined mapping rule set includes frequency hopping mapping rules, which define the corresponding resource occupancy pattern as: a channel container sequence consisting of multiple sub-containers, where each sub-container corresponds to a frequency hopping dwell time, and the position of each sub-container on the frequency axis changes dynamically according to the frequency hopping pattern.
6. The method as described in claim 3, characterized in that, The predefined mapping rule set includes regularized grid mapping rules, which directly define the corresponding resource occupancy pattern as: the set of resource units corresponding to the specified symbol index set and subcarrier index set on the logical resource grid; for single-carrier frequency division multiple access waveforms, the resource occupancy pattern is subject to the constraint of frequency domain continuity.
7. The method according to any one of claims 1-6, characterized in that, The dynamic adjustment of the characterized channel container uses the basic time unit and the basic frequency unit as the adjustment granularity to dynamically modify the time domain span or frequency domain span of the resource unit set defined by the resource occupancy mode.
8. A unified time-frequency resource description device for heterogeneous constellation systems, characterized in that, The device includes: The module is used to determine the globally shared basic units of time and frequency as the common units of the native time and frequency parameters of the heterogeneous constellation systems to be merged; based on the basic units of time and frequency, a standard logical resource grid consisting of time and frequency dimensions is constructed. A definition module is used to define a rectangular area in the logical resource grid with a time span equal to the basic time unit and a frequency span equal to the basic frequency unit as a basic logical resource unit; based on the basic logical resource unit, a channel container is created for each communication task to be scheduled; the channel container includes the resource occupancy mode corresponding to the communication task; The mapping module is used to map the physical layer resource requirements of the communication task to the resource occupancy pattern represented by the channel container based on the physical layer waveform scheme of the communication task.
9. An electronic device, characterized in that, The electronic device includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; A processor, when executing a program stored in memory, implements the method of any one of claims 1-7.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method described in any one of claims 1-7.