Waveform selection method, wireless communication method, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a waveform selection method, a wireless communication method, electronic equipment and a storage medium, and the waveform selection method comprises the steps: obtaining network state information; according to the network state information and a predefined optimization target, waveform selection strategy configuration information is generated, and the waveform selection strategy configuration information is used for indicating a second node to select a target waveform of uplink transmission from a waveform set according to local parameters; and sending the waveform selection strategy configuration information to the second node. According to the embodiment of the invention, waveform selection of the user terminal can be configured, centralized management of waveform use can be realized, the utilization rate of communication resources can be improved, and the coverage range of a communication system can be expanded.

Description

Technical Field

[0001] This invention relates to the field of wireless communication technology, and more particularly to a waveform selection, wireless communication method, electronic device, and storage medium. Background Technology

[0002] In fifth-generation (5G) and future sixth-generation (6G) mobile communication technologies, various waveform technologies have been introduced to meet the needs of diverse application scenarios. For example, Orthogonal Frequency Division Multiplexing (OFDM) waveforms are widely used in enhanced mobile broadband (eMBB) scenarios due to their high spectral efficiency; OFDM waveforms based on Discrete Fourier Transform extension (DFT-s-OFDM), with their lower peak-to-average power ratio (PAPR), can improve the efficiency of power amplifiers (PA) and are used in uplinks to enhance coverage and terminal energy efficiency. Currently, waveform selection is mainly performed semi-statically by the network side through Radio Resource Control (RRC) signaling. That is, a fixed waveform is configured for the User Equipment (UE). This configuration can remain unchanged for a relatively long period. Alternatively, the UE can autonomously select and report channel state information (CSI) based on locally measured data, but the final network scheduling and authorization do not consider the waveform characteristics. Current waveform selection methods lack centralized intelligent management and global optimization capabilities, preventing the system from achieving an optimal balance between spectral efficiency, energy efficiency, and overall network performance. For example, static configurations cannot adapt to dynamic environments. Summary of the Invention

[0003] This application provides a waveform selection, wireless communication method, electronic device, and storage medium to configure waveform selection for user terminals, enabling centralized management of waveform usage, improving communication resource utilization, and expanding the coverage of the communication system.

[0004] This application provides a waveform selection method applied to a first node, the method comprising: Obtain network status information; Based on the network status information and the predefined optimization objectives, waveform selection strategy configuration information is generated, wherein the waveform selection strategy configuration information is used to instruct the second node to select the target waveform for uplink transmission from a waveform set according to local parameters; Send the waveform selection strategy configuration information to the second node.

[0005] This application also provides a wireless communication method applied to a second node, the method comprising: Receive waveform selection strategy configuration information from the first node; Based on the waveform selection strategy configuration information and at least one parameter obtained locally, a target waveform is selected from the beam set.

[0006] This application also provides an electronic device, wherein the electronic device includes: One or more processors; Memory, used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described in any of the embodiments of this application.

[0007] This application also provides a computer-readable storage medium storing one or more programs that are executed by one or more processors to implement the method as described in any of the embodiments of this application.

[0008] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0009] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0010] Figure 1 This application provides a flowchart of a waveform selection method. Figure 2 This is an example diagram illustrating a waveform selection method provided in an embodiment of this application; Figure 3 This application provides a flowchart of another waveform selection method. Figure 4 This is an example diagram illustrating a waveform selection method provided in an embodiment of this application; Figure 5 This application provides an example diagram of another waveform selection method. Figure 6This application provides a flowchart of another waveform selection method. Figure 7 This is an example diagram of another waveform selection method provided in the embodiments of this application; Figure 8 This is an example diagram of another waveform selection method provided in the embodiments of this application; Figure 9 This is a flowchart of a wireless communication method provided in an embodiment of this application; Figure 10 This is a schematic diagram of the structure of a waveform selection device provided in an embodiment of this application; Figure 11 This is a schematic diagram of the structure of a wireless communication device provided in an embodiment of this application; Figure 12 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0011] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of this application.

[0012] In the following description, the use of suffixes such as “module,” “part,” or “unit” to denote elements is solely for the purpose of illustration in this application and has no particular meaning in itself. Therefore, “module,” “part,” or “unit” may be used interchangeably.

[0013] Figure 1 This application provides a flowchart of a waveform selection method. This embodiment is applicable to situations where the waveform of a communication system is dynamically adjusted based on service requirements. The method can be executed by a waveform selection device, which can be implemented through software and / or hardware methods. It is generally integrated into a first node, which may include a base station, core network elements, etc. (See also...) Figure 1 The method provided in this application specifically includes the following steps: Step 110: Obtain network status information.

[0014] Among them, network status information can be the current network status of the wireless communication network, and network status information can include, but is not limited to, cell load level, network energy saving status, uplink interference coordination information, etc.

[0015] In this embodiment of the application, the first node can obtain network status information such as cell load level, network energy saving status, and uplink interference coordination information.

[0016] Step 120: Generate waveform selection strategy configuration information based on network status information and predefined optimization objectives. The waveform selection strategy configuration information is used to instruct the second node to select the target waveform for uplink transmission from a waveform set based on local parameters.

[0017] The optimization objective can be an objective that optimizes the network state, and the optimization objective may include, but is not limited to, reducing energy consumption and improving signal strength.

[0018] Specifically, predefined optimization targets can be obtained, and waveform selection strategy configuration information can be generated according to network status information and optimization targets. This waveform selection strategy configuration information can instruct the second node to select the target waveform for uplink transmission from the waveform set based on local parameters, such as service quality requirements and power status.

[0019] Step 130: Send transmission waveform selection strategy configuration information to the second node.

[0020] In this embodiment of the application, waveform selection strategy configuration information can be sent to the second node so that the second node selects the target waveform from the waveform set according to the waveform selection strategy corresponding to the waveform selection strategy in the waveform selection strategy configuration information.

[0021] In this embodiment, by acquiring network status information, waveform selection strategy configuration information is determined based on the network status information and optimization objectives. This waveform selection strategy configuration information is used to instruct the second node to select the target waveform for uplink transmission from the waveform set based on local parameters. The generated waveform selection strategy configuration information is then transmitted to the second node. This embodiment of the invention can instruct the second node to select the target waveform through the waveform selection strategy configuration information, thereby achieving centralized management of waveform usage, improving the utilization rate of communication resources, and expanding the coverage of the communication system.

[0022] Based on the above-mentioned application embodiments, the network status information includes at least one of the following: cell load level based on physical resource block utilization; network energy saving status instructions; and uplink interference coordination information.

[0023] In this embodiment of the application, the first node can obtain cell load level based on physical resource block utilization, network energy saving status instructions from the operator management entity, and uplink interference coordination information obtained through the inter-base station interface, etc.

[0024] Based on the above-described embodiments, the decision rules included in the waveform selection strategy configuration information include at least one of the following: At least one lookup table is used to map the service quality requirement level of a business to waveforms in a waveform set; At least one mapping function is provided, which maps channel quality and power margin to a weighted evaluation score of waveforms in a waveform set. At least one state machine is provided, which is used to trigger waveform switching based on the RRC connection state and power state of the second node.

[0025] In this embodiment, the waveform selection strategy configuration information can indicate the decision rules used by the second node. These decision rules can include lookup tables, mapping functions, and / or state machines. The lookup table maps the service quality requirement level of a service to waveforms in a waveform set. The second node can select a target waveform from the waveform set based on the service quality requirement level in its local parameters and the lookup table. The mapping function can map channel quality and power margin to weighted evaluation scores of waveforms in the waveform set. The second node can determine the weighted evaluation score of each waveform in the waveform set based on the channel quality and power margin in its local parameters, and then select a target waveform from each waveform based on each weighted evaluation score. The decision rules can also include a state machine. The second node can use the Radio Resource Control (RRC) connection state and power state in its local parameters as inputs to the state machine, and then determine whether to trigger waveform switching based on the state machine.

[0026] In one exemplary implementation, Figure 2 This is an example diagram illustrating a waveform selection method provided in this application, taking the collaborative waveform selection by the network side and the terminal side as an example. See [link to example diagram]. Figure 2The network side generates and distributes waveform selection strategy configuration information, which defines the rules for waveform selection by the user equipment (UE). For example, if the service is Enhanced Mobile Broadband (eMBB) and the battery is sufficient, Orthogonal Frequency Division Multiplexing (OFDM) is selected; if the service is Ultra-Reliable and Low-Latency Communications (URLLC), the Discrete Fourier Transform (DFT) DFT-s-OFDM π / 2 Binary Phase Shift Keying (BPSK) waveform modulation scheme is selected. After receiving this waveform selection strategy, the terminal continuously monitors at least one local parameter, including Quality of Service (QoS) requirements, battery power status, and Channel State Information (CSI). The terminal substitutes local parameters into the waveform selection strategy issued by the network for parsing, and finally autonomously determines the target waveform from the predefined waveform set for uplink data transmission.

[0027] In one exemplary implementation, taking waveform selection via a lookup table strategy as an example, see [link to relevant documentation]. Figure 3 The network uses a predefined lookup table as a decision rule to send to the UE, and the UE selects the waveform by looking up the table. The policy configuration information generated by the network can be a lookup table, which maps different parameter conditions (inputs) to characteristic waveforms (outputs). The network sends this lookup table to the UE. When the UE needs to send data, it monitors its own parameters, such as identifying the service type as URLLC, low power state, and poor CSI, and then uses these parameters as inputs to the lookup table to perform a query, and finally selects the corresponding target waveform based on the query results.

[0028] Based on the above-described embodiments, the method further includes: in response to a change in network state information from a first state to a second state, switching the decision rule included in the waveform selection strategy configuration information from a first decision rule associated with the first state to a second decision rule associated with the second state.

[0029] In this embodiment of the application, when the network state information changes from a first state to a second state, the first decision rule in the waveform selection strategy configuration information associated with the first state can be switched to the second decision rule in the waveform selection strategy configuration information associated with the second state.

[0030] Based on the above application embodiments, the waveform selection strategy configuration information includes at least two decision levels, which are used to instruct the second node to select the target waveform for uplink transmission from a waveform set according to local parameters, including: filtering a waveform subset from the waveform set based on the service quality requirements of the second node's service; and selecting the target waveform from the waveform subset based on the power status and / or channel status information of the second node.

[0031] Specifically, the decision rules indicated by the waveform selection strategy configuration information may include two decision levels. When the second node selects a target waveform based on the decision rules, it can select a waveform subset from the beam set according to the higher-level decision rules, and then select the target waveform from the waveform subset based on the lower-level decision rules. For example, the second node can select a waveform subset from the waveform set according to the service quality requirements of the service in the local parameters. The second node can also select the target waveform from the waveform subset based on the power state and / or channel state information of the second node in the local parameters. Of course, in some embodiments, the second node can select a waveform subset from the waveform set according to the power state and / or channel state information in the local parameters, and then select the target waveform from the waveform subset according to the service quality requirements of the service in the local parameters.

[0032] In an exemplary implementation, taking waveform selection in a URLLC service scenario as an example, the network side explicitly specifies in the lookup table of the decision rule that IF QoS requirement == URLLC (e.g., 5QI=80) THEN waveform subset = {DFT-s-OFDM, FDSS DFT-s-OFDM, π / 2 BPSK}. When the UE's local parameter detection module identifies an industrial automatic control command (URLLC service) that needs to be sent, it autonomously and unconditionally locks the waveform selection range within the low PAPR waveform subset {DFT-s-OFDM, FDSS DFT-s-OFDM, π / 2 BPSK} in the first-level decision. Then, based on the second-level channel and power status, the final waveform (e.g., DFT-s-OFDM) is selected from this subset.

[0033] In other embodiments, the waveform selection strategy configuration information includes decision rules that assign dynamic weights to different evaluation dimensions, wherein the evaluation dimensions include at least one of spectral efficiency, power efficiency, and transmission reliability, the values ​​of the dynamic weights are determined based on network state information, and the target waveform is determined based on the weighted evaluation scores of each waveform in the waveform set.

[0034] Specifically, the decision rules for waveform selection strategy configuration information can set different dynamic weights for different evaluation dimensions of waveforms in the waveform set of the second node. The second node can determine the weighted evaluation score of each waveform according to the decision rules, and select the target waveform from each waveform according to the weighted evaluation score. The weighted evaluation score of each waveform can be determined based on evaluation dimensions such as waveform spectral efficiency, power efficiency and transmission reliability. Each evaluation dimension can have different dynamic weights.

[0035] Based on the above application embodiments, the evaluation score is calculated based on the following function: Score = w1 × Spectral efficiency index + w2 × Power efficiency index + w3 × Reliability index; where w1, w2, and w3 are dynamic weights based on network state information, and the power efficiency index is negatively correlated with the peak-to-average power ratio of the waveform.

[0036] Specifically, the weighted evaluation score can be a weighted sum of the spectral efficiency index, peak-to-average power ratio, and reliability index of each waveform. The dynamic weights of the spectral efficiency index, peak-to-average power ratio, and reliability index can be determined based on network state information. That is, the dynamic weights of the weighted evaluation score can be determined by the waveform selection strategy configuration information.

[0037] Based on the above-described embodiments, the local parameters include at least one of the following: The service quality requirements for the second node's business; The comparison result between the power status of the second node and the preset power threshold; The comparison result between the channel state information of the second node and the preset channel quality threshold.

[0038] Specifically, the local parameters used by the second node to select the target waveform may include the service quality requirement type of the second node's service, the comparison result of the second node's power status with the preset power threshold, and the comparison result of the second node's channel status information with the preset channel quality threshold.

[0039] In some embodiments of the application, the decision rules included in the waveform selection strategy configuration information include at least one of the following: If the service quality requirement type of the second node is determined to be ultra-reliable low-latency communication, then the first target waveform is selected, and the peak-to-average power ratio of the first target waveform is lower than the first threshold. If the service quality requirement type of the second node is determined to be enhanced mobile bandwidth, and the power state of the second node is higher than a power threshold, then the second target waveform is selected, and the spectral efficiency of the second target waveform is higher than the second threshold.

[0040] Specifically, the decision rules for waveform selection strategy configuration information may include: determining that the service quality requirement type of the second node is ultra-reliable low-latency communication, selecting a first target waveform, wherein the peak-to-average ratio (PAR) of the first target waveform is lower than a first PAR threshold. That is, when the service quality requirement of the second node indicates that the service type is ultra-reliable low-latency communication, a first target waveform with a PAR lower than the first PAR threshold can be selected.

[0041] Alternatively, the decision rule may also include: determining that the service quality requirement type of the second node is enhanced mobile broadband, and that the power state of the second node is higher than a second threshold, selecting a second target waveform, wherein the spectral efficiency of the second target waveform is higher than a first spectral efficiency threshold, that is, when the service type indicated by the service quality requirement of the second node is enhanced mobile broadband, and the power state of the second node is higher than the second threshold, selecting a second target waveform with a spectral efficiency higher than the first spectral efficiency threshold from the waveform set.

[0042] Based on the above-described embodiments, the waveform selection strategy configuration information indicates a waveform set, which includes at least one of the following waveforms: Orthogonal Frequency Division Multiplexing (DFT-s-OFDM) waveforms based on Discrete Fourier Transform extension; Cyclic Prefix Orthogonal Frequency Division Multiplexing (CP-OFDM) waveform; DFT-s-OFDM waveforms obtained by applying frequency domain spectrum shaping (FDSS); The phase transition of the modulation symbol is constrained within the range of π / 2 in the DFT-s-OFDM waveform; CP-OFDM waveform with reserved subcarrier TR applied; CP-OFDM waveforms with applied filtering / window functions; CP-OFDM waveforms based on linear frequency modulation (LFM); Orthogonal time-frequency space-time (OTFS) waveform.

[0043] Figure 4 This application provides a flowchart of another waveform selection method, see [link to flowchart]. Figure 4 The waveform selection method provided in this embodiment of the invention may include the following steps: Step 210: Obtain network status information.

[0044] Step 220: Generate waveform selection strategy configuration information based on network status information and predefined optimization objectives. The waveform selection strategy configuration information is used to instruct the second node to select the target waveform for uplink transmission from a waveform set based on local parameters.

[0045] Step 230: Allocate uplink resources to the second node, wherein the waveform selection strategy configuration information also indicates the modulation and demodulation coding scheme table associated with the target waveform.

[0046] Specifically, the first node can also allocate uplink resources to the second node and add the uplink resource modulation and demodulation coding scheme table to the waveform selection strategy configuration information, so that the second node can use the target waveform according to the indicated modulation and demodulation coding scheme table.

[0047] Step 240: Send waveform selection strategy configuration information to the second node.

[0048] In one exemplary implementation, see Figure 5 The network guides the UE to select waveforms based on a Modulation and Coding Scheme (MCS) table. Different waveforms have their most suitable MCS range. While allocating uplink resources, the network considers waveform selection strategies. For example, if the waveform selection strategy guides the UE to choose a low PAPR waveform, the network will simultaneously instruct the UE to use an associated MCS table. This MCS table may contain more low-order modulation and low-code-rate options to maximize coverage. The network can send joint configuration information to the UE indicating resource allocation, waveform selection strategies, and MCS table instructions. After selecting a waveform, the UE will actively use the corresponding MCS table indicated by the network to determine the final coding and modulation scheme. This joint configuration ensures that the UE's transmission parameters are always in an optimal combination, avoiding performance degradation caused by waveform switching.

[0049] Figure 6 This application provides a flowchart of another waveform selection method, see [link to flowchart]. Figure 6 The method provided in this application includes the following steps: Step 310: Obtain network status information.

[0050] Step 320: Receive waveform selection capability information from the second node. The capability information indicates the waveform categories supported by the second node and / or the ability to perform autonomous waveform selection based on local parameters.

[0051] Among them, waveform selection capability information can represent the waveform categories supported by the second node and / or the ability to perform autonomous waveform selection based on local parameters, etc.

[0052] In this embodiment of the invention, waveform selection capability information reported by the second node can be obtained, thereby determining the waveform categories supported by the second node and / or determining whether the second node supports autonomous waveform selection based on local parameters.

[0053] Step 330: Generate waveform selection strategy configuration information based on network status information and predefined optimization objectives. The waveform selection strategy configuration information is used to instruct the second node to select the target waveform for uplink transmission from a waveform set based on local parameters. The waveform selection strategy configuration information is also generated based on waveform selection capability information.

[0054] Specifically, waveform selection strategy configuration information can be generated according to the waveform types supported by the second node, its ability to support autonomous waveform selection based on local parameters, network status information, and optimization targets. This waveform selection strategy configuration information can instruct the second node to select a target waveform from the waveform set based on local parameters, and the target waveform can be transmitted by the second node via the uplink.

[0055] Step 340: Send waveform selection strategy configuration information to the second node.

[0056] In this embodiment of the invention, by acquiring network status information and receiving waveform selection capability information from a second node, waveform selection strategy configuration information is determined based on the waveform selection capability information, network status information, and optimization objectives. This waveform selection strategy configuration information is used to instruct the second node to select the target waveform for uplink transmission from the waveform set based on local parameters. The generated waveform selection strategy configuration information is then transmitted to the second node. This embodiment of the invention can instruct the second node to select the target waveform through the waveform selection strategy configuration information, thereby achieving centralized management of waveform usage, improving communication resource utilization, and expanding the coverage of the communication system.

[0057] In one exemplary implementation, see Figure 7 The UE first reports its waveform selection capability information to the network (including supported waveform types and whether it supports autonomous selection). Based on each UE's capability information, the network generates customized policy configuration information. For UEs with strong capabilities, the network can issue an "advanced policy" containing multiple waveforms and complex decision rules to fully utilize their performance. For UEs with weak capabilities, the network issues a "basic policy," or even reverts to directly controlling their waveforms through network commands.

[0058] In another exemplary implementation, taking the network side's control of the UE's beam selection based on the state machine and the capabilities reported by the UE as an example, during the initial network access process, the UE can report its waveform selection capability to the network through the UECapabilityInformation message. This waveform selection capability can be as follows: supportedWaveforms:[DFT-s-OFDM,OFDM] autonomousSelectionSupport:TRUE Specifically, the network side can configure a state machine as a decision rule for the UE in the RRC configuration information based on the UE's capabilities. The state of this state machine can be composed of a tuple of RRC connection state and UE power state. Some of the state machine's transition rules are as follows: The UE can make autonomous decisions based on this state machine. For example, if the UE is in the (RRC_CONNECTED, high) state and is using OFDM waveforms for high-speed downloading, and at this time the UE detects that the battery level is below 15%, the trigger power state changes to "low".

[0059] According to the state mechanism rules, the autonomous decision-making module immediately and automatically triggers waveform switching from OFDM to DFT-s-OFDM without waiting for new instructions from the network.

[0060] In the above-described embodiments, the waveform selection strategy configuration information is also used to instruct the second node to perform waveform selection based on network signaling or to perform waveform selection autonomously based on decision rules.

[0061] Specifically, the waveform selection strategy configuration information also includes enabling information, which can instruct the second node to perform beam selection based on network instructions, or instruct the second node to perform waveform selection autonomously according to the decision rules configured in the beam selection strategy.

[0062] In other embodiments, the waveform selection strategy configuration information is sent via at least one of the following methods: The first configuration information issued via Radio Resource Control (RRC) signaling is used for semi-static configuration; the second configuration information issued via Media Access Control (MAC) control element CE is used to dynamically activate or update some or all parameters of the decision rule.

[0063] In this embodiment, the waveform selection strategy configuration information can be configured in a multi-stage manner. First configuration information can be sent to the second node based on radio resource control signaling. The second node can be configured in a semi-static way using the first configuration information. Then, second configuration information can be sent through the media access control unit. The second configuration information can dynamically activate or update some or all parameters of the decision rules in the waveform selection strategy configuration information of the second node, thereby realizing the dynamic adjustment of the decision rules of the second node.

[0064] In one exemplary implementation, see Figure 8The waveform selection strategy is generated not only based on UE-side factors, but more importantly, on network status information (such as cell load). The network side can perform semi-static configuration via RRC signaling (such as strategy A), or perform rapid dynamic updates via MAC-CE signaling (such as strategy B). The network side dynamically switches the waveform selection strategy according to the real-time network load. For example, when the load is low, it encourages the use of high spectral efficiency waveforms (such as OFDM) to improve user experience; when the load is high, it encourages the use of low PAPR waveforms (such as DFT-s-OFDM) to reduce intra-cell interference and improve the overall system capacity.

[0065] Based on the above application embodiments, the second configuration information is used to incrementally update specific entries in the query table of the decision rule, or to update specific state transition relationships in the state machine.

[0066] Specifically, incremental information can be indicated to the second node through the second configuration information. This incremental information can be used to update specific entries in the lookup table of the decision rule used by the second node or to update specific state transition relationships of the state machine in the decision rule.

[0067] In one exemplary implementation, an example of updating the waveform selection strategy based on MAC-CE is provided, wherein the network configures an initial decision rule (rule A) for the UE via RRC signaling, the mathematical function weight of which is biased towards spectral efficiency (w1=0.6, w2=0.4).

[0068] After a period of time, the network status detection module detected that the cell load dropped sharply from 80% (high load) to 25% (low load), and the OAM energy-saving command was lifted.

[0069] The policy management module determined that the network status had changed from "first state" (high load energy saving state) to "second state" (low load high performance mode).

[0070] In response to this change, the policy management module generates a MAC-CE signaling message, which is used to dynamically update the decision rules. It does not change the overall structure of the rules, but incrementally updates the dynamic weights in the mathematical function, changing them from (w1=0.6, w2=0.4) to (w1=0.9, w2=0.1).

[0071] The UE receives and parses the MAC-CE signaling, and randomly updates the decision rules in its autonomous decision-making module (now called rule B) using new weights.

[0072] When the UE needs to select a waveform again, it will use the new rule B for calculation in the second-level decision. Since the weights are heavily biased towards spectral efficiency, the probability of the UE selecting an OFDM waveform will increase significantly, thereby fully exploiting the network potential and improving the user experience rate when channel conditions are good.

[0073] In one exemplary embodiment, an adaptive waveform selection system based on multi-layer decision rules is implemented based on the method provided in the embodiments of this application. The system includes a network side and a user equipment. The network side includes a measurement management module, a network status detection module, and a transceiver. The user equipment includes an autonomous decision module, a local parameter detection module, and a transceiver.

[0074] (I) Network-side policy generation and distribution The network status monitoring module continuously acquires network status information, including: cell load levels based on physical resource block (PRB) utilization (e.g., 80% is high load, 30% is low load), network energy-saving status instructions from the Operations Management Entity (OAM) (e.g., activating "deep energy saving" mode), and uplink interference coordination information obtained from neighboring base stations via the Xn interface (e.g., indicating high interference at the cell edge).

[0075] The strategy management module generates waveform selection strategy configuration information based on the above network status information and predefined optimization objectives. The optimization objectives may include prioritizing interference coordination under high load and prioritizing power efficiency under energy-saving mode.

[0076] The policy configuration information is sent to the UE via transceiver using RRC signaling. Its core is a two-level decision rule, specifying the waveform set as {π / 2 BPSK, DFT-s-OFDM, OFDM}.

[0077] Level 1 (QoS-based filtering): Uses a lookup table to map 5QI to a subset of waveforms.

[0078] The second level (fine selection based on local parameters): uses a mathematical function to calculate a weighted score based on CQI and power margin.

[0079] (ii) UE-side autonomous waveform selection and transmission The UE receives and parses the policy configuration information through the transceiver.

[0080] When uplink data is pending transmission, the autonomous decision-making module initiates the decision-making process: Step 1: The local parameter monitoring module obtains the service QoS requirements (e.g., 5QI=80, corresponding to URLLC service). Based on the first-level lookup table, the waveform subset is determined to be {π / 2 BPSK, DFT-s-OFDM}.

[0081] Step 2: The local parameter monitoring module acquires real-time channel status information (CQI=10) and power status (power margin=3dB).

[0082] Step 3: The autonomous decision-making module executes the second-level decision. The mathematical function is Score = 0.6 × SE + 0.4 × (1 - PAPR).

[0083] Step 4: Select the waveform with the highest score as the target waveform.

[0084] The UE uses a specific DFT-s-OFDM waveform to transmit uplink data via a transceiver.

[0085] Figure 9 This is a flowchart illustrating a wireless communication method provided in an embodiment of this application. This embodiment is applicable to situations where the waveform of a communication system is dynamically adjusted based on service requirements. The method can be executed by a wireless communication device, which can be implemented through software and / or hardware methods. It is generally integrated into a second node, which may include a user terminal, etc. See [link to relevant documentation]. Figure 9 The method provided in this application specifically includes the following steps: Step 410: Receive waveform selection strategy configuration information from the first node.

[0086] In this embodiment of the application, the second node can receive waveform selection strategy configuration information sent by the first node. The decision rules included in the waveform selection strategy configuration information can be used to select a target waveform in the beam set.

[0087] Step 420: Select the target waveform from the waveform set based on the waveform selection strategy configuration information and at least one parameter obtained locally.

[0088] Specifically, at least one local parameter can be obtained, and a target waveform can be selected from the beam set according to the parameter and waveform selection strategy configuration information. This target waveform can be used for data transmission with the first node.

[0089] In this embodiment, waveform selection strategy configuration information is obtained, parameters are acquired, and a target waveform is selected from a waveform set based on the waveform selection strategy configuration information and parameters. This embodiment can accurately select suitable waveforms according to business needs, thereby improving resource efficiency and enhancing the signal transmission quality of the communication system.

[0090] Figure 10 This is a schematic diagram of a waveform selection device provided in an embodiment of this application. This device can execute the waveform selection method provided in any embodiment of this application, and possesses the corresponding functional modules and beneficial effects of the method. This device can be implemented by software and / or hardware. For example... Figure 10As shown, the apparatus provided in this application embodiment specifically includes: The network status module 510 is used to obtain network status information.

[0091] The configuration information module 520 is used to generate waveform selection strategy configuration information based on network status information and predefined optimization objectives. The waveform selection strategy configuration information is used to instruct the second node to select the target waveform for uplink transmission from a waveform set based on local parameters.

[0092] Configure transmission module 530 to send waveform selection strategy configuration information to the second node.

[0093] In this embodiment, network status information is obtained through a network status module, and a configuration information module determines waveform selection strategy configuration information based on the network status information and optimization objectives. This waveform selection strategy configuration information is used to instruct the second node to select the target waveform for uplink transmission from the waveform set based on local parameters. The configuration transmission module transmits the generated waveform selection strategy configuration information to the second node. This embodiment of the invention can instruct the second node to select the target waveform through waveform selection strategy configuration information, thereby achieving centralized management of waveform usage, improving communication resource utilization, and expanding the coverage of the communication system.

[0094] Based on the above-described embodiments, the network status information includes at least one of the following: Cell load level based on physical resource block utilization; Network power saving status instructions; Uplink interference coordination information.

[0095] Based on the above-described embodiments, the decision rules included in the waveform selection strategy configuration information include at least one of the following: At least one lookup table is used to map the service quality requirement level of a business to waveforms in a waveform set; At least one mapping function is provided, which maps channel quality and power margin to a weighted evaluation score of waveforms in a waveform set. At least one state machine is provided, which is used to trigger waveform switching based on the wireless resource control connection state and power state of the second node.

[0096] Based on the above-described embodiments, the waveform selection strategy configuration information includes at least two decision levels, used to instruct the second node to select the target waveform for uplink transmission from a waveform set according to local parameters, including: Based on the service quality requirements of the second node's business, a subset of waveforms is selected from the waveform set; Based on the power state and / or channel state information of the second node, the target waveform is selected from the waveform subset.

[0097] Based on the above application embodiments, the decision rule assigns dynamic weights to different evaluation dimensions. The evaluation dimensions include at least one of spectral efficiency, power efficiency, and transmission reliability, and the dynamic weights are determined based on network state information. The target waveform is determined based on the weighted evaluation scores of each waveform in the waveform set.

[0098] Based on the above application embodiments, the evaluation score is calculated based on the following function: Score = w1 × Spectrum efficiency index + w2 × Power efficiency index + w3 × Reliability index; Among them, w1, w2, and w3 are dynamic weights based on network state information, and the power efficiency index is negatively correlated with the peak-to-average power ratio of the waveform.

[0099] Based on the above-described embodiments, the application further includes: a state switching module, used to switch the decision rules included in the waveform selection strategy configuration information from the first decision rule associated with the first state to the second decision rule associated with the second state in response to the network state information changing from the first state to the second state.

[0100] Based on the above-described embodiments, the local parameters include at least one of the following: The service quality requirements for the second node's business; The comparison result between the power status of the second node and the preset power threshold; The comparison result between the channel state information of the second node and the preset channel quality threshold.

[0101] Based on the above-described embodiments, the decision rules included in the waveform selection strategy configuration information include at least one of the following: If the service quality requirement type of the second node is determined to be ultra-reliable low-latency communication, then the first target waveform is selected, and the peak-to-average power ratio of the first target waveform is lower than the first threshold. If the service quality requirement type of the second node is determined to be enhanced mobile bandwidth, and the power state of the second node is higher than a power threshold, then the second target waveform is selected, and the spectral efficiency of the second target waveform is higher than the second threshold.

[0102] Based on the above-described embodiments, the waveform selection strategy configuration information indicates a waveform set, which includes at least one of the following waveforms: Orthogonal Frequency Division Multiplexing (DFT-s-OFDM) waveforms based on Discrete Fourier Transform extension; Cyclic Prefix Orthogonal Frequency Division Multiplexing (CP-OFDM) waveform; DFT-s-OFDM waveforms obtained by applying frequency domain spectrum shaping (FDSS); The phase transition of the modulation symbol is constrained within the range of π / 2 in the DFT-s-OFDM waveform; CP-OFDM waveform with reserved subcarrier TR applied; CP-OFDM waveforms with applied filtering / window functions; CP-OFDM waveforms based on linear frequency modulation (LFM); Orthogonal time-frequency space-time (OTFS) waveform.

[0103] In some embodiments, the application also includes: a resource coding module, used to allocate uplink resources to the second node; The waveform selection strategy configuration information also indicates the modulation and demodulation coding scheme table associated with the target waveform.

[0104] In some embodiments, the system further includes: a capability receiving module, configured to receive waveform selection capability information from the second node, wherein the capability information indicates the waveform categories supported by the second node and / or the capability to autonomously select waveforms based on local parameters; wherein the generation of waveform selection strategy configuration information is also based on the waveform selection capability information.

[0105] In some application embodiments, waveform selection strategy configuration information is also used to instruct the second node to perform waveform selection based on network signaling or to perform waveform selection autonomously based on decision rules.

[0106] In some application embodiments, waveform selection strategy configuration information is sent in at least one of the following ways: The first configuration information sent via Radio Resource Control (RRC) signaling is used for semi-static configuration. The second configuration information issued by the Media Access Control (MAC) CE control element is used to dynamically activate or update some or all parameters of the decision rule.

[0107] In some embodiments, the second configuration information is used to incrementally update specific entries in the query table of the decision rule, or to update specific state transition relationships in the state machine.

[0108] Figure 11 This is a schematic diagram of a wireless communication device provided in an embodiment of this application. The device can execute the wireless communication method provided in any embodiment of this application, and possesses the corresponding functional modules and beneficial effects for executing the method. The device can be implemented by software and / or hardware. For example... Figure 11 As shown, the apparatus provided in this application embodiment specifically includes: Configure the receiving module 610 to receive waveform selection strategy configuration information from the first node.

[0109] The waveform selection module 620 is used to select a target waveform from a waveform set based on waveform selection strategy configuration information and at least one parameter obtained locally.

[0110] In this embodiment, the waveform selection strategy configuration information is obtained by configuring the receiving module. The waveform selection module then obtains parameters and selects a target waveform from the waveform set based on the waveform selection strategy configuration information and the parameters. This embodiment can accurately select suitable waveforms according to service requirements, thereby improving resource efficiency and enhancing the signal transmission quality of the communication system.

[0111] Figure 12 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device includes a processor 10, a memory 11, an input device 12, and an output device 13; the number of processors 10 in the electronic device can be one or more. Figure 12 Taking a processor 10 as an example; in an electronic device, the processor 10, memory 11, input device 12, and output device 13 can be connected via a bus or other means. Figure 12 Taking the example of a connection between China and Israel via a bus.

[0112] The memory 11, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the modules corresponding to the waveform selection device or wireless communication device in the embodiments of this application (network status module 510, configuration information module 520, and configuration transmission module 530, or configuration receiving module 610 and waveform selection module 620). The processor 10 executes various functional applications and data processing of the electronic device by running the software programs, instructions, and modules stored in the memory 11, thereby implementing the methods described above.

[0113] The memory 11 may primarily include a program storage area and a data storage area. The program storage area may store the operating system and at least one application program required for a given function; the data storage area may store data created based on the use of the electronic device. Furthermore, the memory 11 may include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory, or other non-volatile solid-state storage device. In some instances, the memory 11 may further include memory remotely located relative to the processor 10, which can be connected to the electronic device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0114] Input device 12 can be used to receive input digital or character information, and to generate key signal inputs related to user settings and function control of the electronic device. Output device 13 may include display devices such as a display screen.

[0115] This application also provides a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform a waveform selection method, the method comprising: Obtain network status information; Based on the network status information and the predefined optimization objectives, waveform selection strategy configuration information is generated, wherein the waveform selection strategy configuration information is used to instruct the second node to select the target waveform for uplink transmission from a waveform set according to local parameters; Send the waveform selection strategy configuration information to the second node.

[0116] Alternatively, the computer-executable instructions, when executed by a computer processor, are used to perform a wireless communication method, the method comprising: Receive waveform selection strategy configuration information from the first node; Based on the waveform selection strategy configuration information and at least one parameter obtained locally, a target waveform is selected from the waveform set.

[0117] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0118] It is worth noting that in the embodiments of the above-mentioned device, the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, the specific names of each functional unit are only for easy differentiation and are not used to limit the scope of protection of this application.

[0119] Those skilled in the art will understand that all or some of the steps, apparatuses, or functional modules / units in the methods disclosed above can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0120] In hardware implementations, the division between functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed collaboratively by several physical components. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. The corresponding software may be distributed on a computer-readable medium, which may include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, as is known to those skilled in the art, communication media typically contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0121] The above description, with reference to the accompanying drawings, illustrates preferred embodiments of the present invention, but does not limit the scope of the invention. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and spirit of the present invention should be considered within the scope of the present invention.

Claims

1. A waveform selection method, characterized in that, Applied to the first node, the method includes: Obtain network status information; Based on the network status information and the predefined optimization objectives, waveform selection strategy configuration information is generated, wherein the waveform selection strategy configuration information is used to instruct the second node to select the target waveform for uplink transmission from a waveform set according to local parameters; Send the waveform selection strategy configuration information to the second node.

2. The method according to claim 1, characterized in that, The network status information includes at least one of the following: Cell load level based on physical resource block utilization; Network power saving status instructions; Uplink interference coordination information.

3. The method according to claim 1, characterized in that, The decision rules included in the waveform selection strategy configuration information include at least one of the following: At least one lookup table is used to map the service quality requirement level of a business to waveforms in a waveform set; At least one mapping function is provided for mapping channel quality and power margin to evaluation scores of each waveform in a waveform set. At least one state machine is provided, which is used to trigger waveform switching based on the wireless resource control connection state and power state of the second node.

4. The method according to claim 3, characterized in that, The waveform selection strategy configuration information includes at least two decision levels, and the step of instructing the second node to select the target waveform for uplink transmission from a waveform set based on local parameters includes: Based on the service quality requirements of the second node's services, a subset of waveforms is selected from the waveform set; The target waveform is selected from the waveform subset based on the power state and / or channel state information of the second node.

5. The method according to claim 3 or 4, characterized in that, The decision-making rule assigns dynamic weights to different evaluation dimensions. The evaluation dimensions include at least one of spectral efficiency, power efficiency, and transmission reliability, and the values ​​of the dynamic weights are determined based on the network state information. The target waveform is determined based on the weighted evaluation scores of each waveform in the waveform set.

6. The method according to claim 5, characterized in that, The evaluation score is calculated based on the following function: Score = w1 × Spectrum efficiency index + w2 × Power efficiency index + w3 × Reliability index; Among them, w1, w2, and w3 are dynamic weights based on the network state information, and the power efficiency index is negatively correlated with the peak-to-average power ratio of the waveform.

7. The method according to claim 1, characterized in that, Also includes: In response to the network state information changing from a first state to a second state, the decision rule included in the waveform selection strategy configuration information is switched from a first decision rule associated with the first state to a second decision rule associated with the second state.

8. The method according to claim 1, characterized in that, The local parameters include at least one of the following: The service quality requirements type of the second node's business; The comparison result between the power status of the second node and the preset power threshold; The comparison result between the channel state information of the second node and the preset channel quality threshold.

9. The method according to claim 1, characterized in that, The waveform selection strategy configuration information includes at least one of the following decision rules: If the quality of service requirement type of the second node is determined to be ultra-reliable low-latency communication, then the first target waveform is selected, and the peak-to-average power ratio of the first target waveform is lower than the first threshold. If the service quality requirement type of the second node is determined to be enhanced mobile bandwidth, and the power state of the second node is higher than a power threshold, then a second target waveform is selected, and the spectral efficiency of the second target waveform is higher than the second threshold.

10. The method according to claim 1, characterized in that, The waveform set includes at least one of the following waveforms: Orthogonal Frequency Division Multiplexing (DFT-s-OFDM) waveforms based on Discrete Fourier Transform extension; Cyclic Prefix Orthogonal Frequency Division Multiplexing (CP-OFDM) waveform; DFT-s-OFDM waveforms obtained by applying frequency domain spectrum shaping (FDSS); The phase transition of the modulation symbol is constrained within the range of π / 2 in the DFT-s-OFDM waveform; CP-OFDM waveform with reserved subcarrier TR applied; CP-OFDM waveforms with applied filtering / window functions; CP-OFDM waveforms based on linear frequency modulation (LFM); Orthogonal time-frequency space-time (OTFS) waveform.

11. The method according to claim 1, characterized in that, Also includes: Allocate uplink resources to the second node; The waveform selection strategy configuration information also indicates a modulation and demodulation coding scheme table associated with the target waveform.

12. The method according to claim 1, characterized in that, Also includes: Receive waveform selection capability information from the second node, the capability information indicating the waveform categories supported by the second node and / or the ability to perform autonomous waveform selection based on local parameters; The generation of the waveform selection strategy configuration information is also based on the waveform selection capability information.

13. The method according to claim 1, characterized in that, The waveform selection strategy configuration information is also used to instruct the second node to select waveforms based on network signaling or to select waveforms autonomously based on the decision rules.

14. The method according to claim 1, characterized in that, The waveform selection strategy configuration information is sent in at least one of the following ways: The first configuration information sent via Radio Resource Control (RRC) signaling is used for semi-static configuration. The second configuration information issued by the Media Access Control (MAC) CE is used to dynamically activate or update some or all of the parameters of the decision rule.

15. The method according to claim 14, characterized in that, The second configuration information is used to incrementally update specific entries in the query table of the decision rule, or to update specific state transition relationships in the state machine.

16. A wireless communication method, characterized in that, Applied to the second node, the method includes: Receive waveform selection strategy configuration information from the first node; Based on the waveform selection strategy configuration information and at least one parameter obtained locally, a target waveform is selected from the waveform set.

17. An electronic device, characterized in that, The electronic device includes: One or more processors; Memory, used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement a waveform selection or wireless communication method as described in any one of claims 1-16.

18. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores one or more programs, which are executed by one or more processors to implement a waveform selection or wireless communication method as described in any one of claims 1-16.

Images