WO2025245672A1 - 通信方法、终端、存储介质及程序产品 - Google Patents

通信方法、终端、存储介质及程序产品

Info

Publication number
WO2025245672A1
WO2025245672A1 PCT/CN2024/095582 CN2024095582W WO2025245672A1 WO 2025245672 A1 WO2025245672 A1 WO 2025245672A1 CN 2024095582 W CN2024095582 W CN 2024095582W WO 2025245672 A1 WO2025245672 A1 WO 2025245672A1
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WO
WIPO (PCT)
Prior art keywords
terminal
communication processing
information
communication
battery
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
PCT/CN2024/095582
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English (en)
French (fr)
Inventor
牟勤
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Xiaomi Mobile Software Co Ltd
Original Assignee
Beijing Xiaomi Mobile Software Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Xiaomi Mobile Software Co Ltd filed Critical Beijing Xiaomi Mobile Software Co Ltd
Priority to CN202480036448.0A priority Critical patent/CN121420588A/zh
Priority to PCT/CN2024/095582 priority patent/WO2025245672A1/zh
Publication of WO2025245672A1 publication Critical patent/WO2025245672A1/zh
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition

Definitions

  • This disclosure relates to the field of communication technology, and in particular to communication methods, terminals, storage media and program products.
  • AI Artificial Intelligence
  • This disclosure presents communication methods, terminals, storage media, and program products.
  • a communication method comprising: a terminal determining a communication processing strategy based on terminal information, the communication processing strategy comprising communication processing based on artificial intelligence (AI) or communication processing based on non-AI.
  • AI artificial intelligence
  • a terminal comprising: a processing module, configured to determine a communication processing strategy based on terminal information, wherein the communication processing strategy includes communication processing based on artificial intelligence (AI) or communication processing based on non-AI.
  • AI artificial intelligence
  • a terminal comprising: one or more processors; wherein the terminal is configured to execute the first aspect and any one of the communication methods in the first aspect.
  • a storage medium stores instructions which, when executed on a communication device, cause the communication device to perform a communication method as described in the first aspect and any one of the first aspects.
  • a program product comprising: a computer program, which, when executed by a communication device, causes the communication device to perform a communication method as described in the first aspect and any one of the first aspects.
  • This disclosure determines a communication processing strategy based on terminal information, wherein the communication processing strategy includes AI-based communication processing or non-AI-based communication processing, thereby avoiding the problem that AI computing power is not applicable to all scenarios and thus improving the user experience.
  • Figure 1 is a schematic diagram of a communication system architecture according to an embodiment of the present disclosure.
  • Figure 2a is a schematic diagram of a communication method interaction according to an embodiment of the present disclosure.
  • Figure 2b is a schematic diagram of a communication method interaction according to an embodiment of the present disclosure.
  • Figure 3a is a flowchart illustrating a communication method according to an embodiment of the present disclosure.
  • Figure 3b is a flowchart illustrating a communication method according to an embodiment of the present disclosure.
  • Figure 4 is a flowchart illustrating a communication method according to an embodiment of the present disclosure.
  • Figure 5a is a schematic diagram of the structure of a terminal according to an embodiment of the present disclosure.
  • Figure 5b is a schematic diagram of the structure of a network device according to an embodiment of the present disclosure.
  • Figure 6a is a schematic diagram of the structure of a communication device according to an embodiment of this disclosure.
  • Figure 6b is a schematic diagram of the chip structure shown in an embodiment of this disclosure.
  • This disclosure presents communication methods, terminals, storage media, and program products.
  • embodiments of this disclosure propose a communication method, the method comprising: a terminal determining a communication processing strategy based on terminal information, wherein the communication processing strategy includes communication processing based on artificial intelligence (AI) or communication processing based on non-AI.
  • AI artificial intelligence
  • the terminal determines a communication processing strategy based on terminal information.
  • the communication processing strategy includes communication processing based on AI or communication processing based on non-AI, thereby avoiding the problem that AI computing power is not applicable to all scenarios and improving the user experience.
  • the terminal information includes at least one of the following: battery information of the terminal; user settings information of the terminal, the user settings information being used to indicate whether the communication processing is set to be based on AI or based on non-AI.
  • the communication processing strategy can be determined based on the terminal's battery information, the terminal's user settings information, or both the terminal's battery information and user settings information. This allows for flexible application to different situations and improves the user experience.
  • the battery information includes at least one of the following: the remaining battery power; the battery health; and the battery charging status.
  • battery information includes the remaining battery power. For example, when the remaining power is low, a low-power, low-performance strategy can be selected. Battery information may include battery health. For example, when battery health is low, a low-power, low-performance strategy can be selected. Battery information may include the battery's charging state. For example, when the battery is charging, a low-power, low-performance strategy can be selected.
  • the terminal information includes the terminal's battery information
  • the battery information includes the remaining battery power
  • the remaining battery power is greater than or equal to a first threshold value
  • the communication processing strategy is to perform communication processing based on AI, and to perform communication processing based on the AI model with the highest performance value among at least one AI model deployed on the terminal.
  • communication processing can be performed based on AI, and communication processing can be performed based on the AI model with the highest performance value among at least one AI model, thereby obtaining higher performance.
  • the terminal information includes the terminal's battery information
  • the battery information includes the remaining battery power
  • the remaining battery power is less than or equal to a second threshold value
  • the communication processing strategy is to perform communication processing based on AI, and to perform communication processing based on the AI model whose performance value is not the highest among at least one AI model deployed on the terminal.
  • communication processing can be performed based on AI.
  • communication processing can be performed based on at least one AI model whose performance value is not the highest, so as to achieve high performance without causing too much power consumption.
  • the terminal information includes the terminal's battery information
  • the battery information includes the remaining battery power
  • the remaining battery power is less than or equal to a third threshold value
  • the communication processing strategy is to perform communication processing based on non-AI.
  • communication processing can be performed based on non-AI, that is, the AI operation is turned off to save power consumption.
  • the terminal information includes user settings information of the terminal, the user settings information prioritizing the performance of communication processing, the communication processing strategy being based on AI for communication processing, and based on any one of the top N AI models in performance value ranking among at least one AI model deployed on the terminal for communication processing, where N is a positive integer greater than zero.
  • the terminal can perform processing based on AI, and can perform communication processing based on any one of the top N AI models in terms of performance value among at least one AI model, thereby achieving better performance.
  • the terminal information includes user settings information of the terminal, the user settings information prioritizing power consumption for communication processing, and the communication processing strategy being either communication processing based on non-AI models or communication processing based on any one of the top M low-power AI models deployed on the terminal, where M is a positive integer greater than zero.
  • the terminal can process based on non-AI, or process based on any of the M AI models ranked by low power consumption among at least one AI model, in order to save power consumption.
  • the terminal information includes the terminal's battery information and the terminal's user settings information, the battery information including the remaining battery power
  • the method further includes: in response to the remaining battery power being less than or equal to a fourth threshold value, displaying operation information, the operation information being used to determine the user settings information.
  • the terminal can also determine whether to prompt the user to set the communication policy based on battery information, and determine the communication policy based on the user's settings. For example, when the remaining battery power is less than or equal to the fourth threshold, operation information can be displayed to determine the user's settings.
  • a terminal including: a processing module, used to determine a communication processing strategy based on terminal information, wherein the communication processing strategy includes communication processing based on artificial intelligence (AI) or communication processing based on non-AI.
  • AI artificial intelligence
  • the terminal information includes at least one of the following: battery information of the terminal; user settings information of the terminal, the user settings information being used to indicate whether the communication processing is set to be based on AI or based on non-AI.
  • the battery information includes at least one of the following: the remaining battery power; the battery health; and the battery charging status.
  • the terminal information includes the terminal's battery information
  • the battery information includes the remaining battery power
  • the remaining battery power is greater than or equal to a first threshold value
  • the communication processing strategy is to perform communication processing based on AI, and to perform communication processing based on the AI model with the highest performance value among at least one AI model deployed on the terminal.
  • the terminal information includes the terminal's battery information
  • the battery information includes the remaining battery power
  • the remaining battery power is less than or equal to a second threshold value
  • the communication processing strategy is to perform communication processing based on AI, and to perform communication processing based on the AI model whose performance value is not the highest among at least one AI model deployed on the terminal.
  • the terminal information includes the terminal's battery information, the battery information including the battery's...
  • the remaining battery power is less than or equal to a third threshold value
  • the communication processing strategy is to perform communication processing based on non-AI.
  • the terminal information includes user settings information of the terminal, the user settings information prioritizing the performance of communication processing, the communication processing strategy being based on AI for communication processing, and based on any one of the top N AI models in performance value ranking among at least one AI model deployed on the terminal for communication processing, where N is a positive integer greater than zero.
  • the terminal information includes user settings information of the terminal, the user settings information prioritizing power consumption for communication processing, and the communication processing strategy being either communication processing based on non-AI models or communication processing based on any one of the top M low-power AI models deployed on the terminal, where M is a positive integer greater than zero.
  • the terminal information includes the terminal's battery information and the terminal's user settings information, the battery information including the remaining battery power, and the processing module is further configured to: display operation information in response to the remaining battery power being less than or equal to a fourth threshold value, the operation information being used to determine the user settings information.
  • a terminal comprising: one or more processors; wherein the terminal is configured to execute the first aspect and any one of the communication methods in the first aspect.
  • a storage medium stores instructions, which, when executed on a communication device, cause the communication device to perform a communication method as described in the first aspect and any one of the methods described in the first aspect.
  • embodiments of this disclosure provide a program product that, when executed by a communication device, causes the communication device to perform the method described in the first aspect and any optional implementation thereof.
  • embodiments of this disclosure provide a computer program that, when run on a computer, causes the computer to perform the method as described in an alternative implementation of the first aspect.
  • embodiments of this disclosure provide a chip or chip system.
  • the chip or chip system includes processing circuitry configured to perform the method described in the optional implementation of the first aspect above.
  • the terminals, access network devices, first network elements, other network elements, core network devices, communication systems, storage media, program products, computer programs, chips, or chip systems involved in the embodiments of this disclosure are all used to execute the methods proposed in the embodiments of this disclosure. Therefore, the beneficial effects that can be achieved can be referred to the beneficial effects in the corresponding methods, and will not be repeated here.
  • This disclosure provides communication methods, terminals, storage media, and program products.
  • the terms “communication method” and “information processing method” can be used interchangeably, as can the terms “communication device” and “information processing device” and “communication device,” and the terms “information processing system” and “communication system.”
  • each step in a particular embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined.
  • a solution after removing some steps in a particular embodiment can also be implemented as an independent embodiment, and the order of the steps in a particular embodiment can be arbitrarily interchanged.
  • the optional implementation methods in a particular embodiment can be arbitrarily combined; moreover, the embodiments can be arbitrarily combined, for example, some or all steps of different embodiments can be arbitrarily combined, and a particular embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.
  • multiple refers to two or more.
  • the terms “at least one of”, “one or more”, “a plurality of”, “multiple”, etc., may be used interchangeably.
  • the notation "at least one of A and B", “A and/or B", “A in one case, B in another”, “in response to one case A, in response to another case B”, etc. may include the following technical solutions depending on the situation: in some embodiments, A (execute A regardless of B); in some embodiments, B (execute B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); in some embodiments, A and B (both A and B are executed). The same applies when there are more branches such as A, B, C, etc.
  • the notation "A or B” may include the following technical solutions, depending on the circumstances: in some embodiments, A (execution of A independent of B); in some embodiments, B (execution of B independent of A); in some embodiments, selection from A and B. Selective execution (A and B are selectively executed). The same applies when there are more branches such as A, B, and C.
  • the descriptive object is a "field,” the ordinal numbers preceding "field” in “first field” and “second field” do not restrict the position or order of the "fields.” "First” and “second” do not restrict whether the "fields” they modify are in the same message, nor do they restrict the order of "first field” and “second field.”
  • the descriptive object is a "level,” the ordinal numbers preceding "level” in “first level” and “second level” do not restrict the priority between “levels.”
  • the number of descriptive objects is not limited by ordinal numbers and can be one or more. For example, in “first device,” the number of "devices" can be one or more.
  • the objects modified by different prefixes can be the same or different.
  • first device and second device can be the same device or different devices, and their types can be the same or different.
  • first information and second information can be the same information or different information, and their content can be the same or different.
  • “including A,” “containing A,” “for indicating A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.
  • the terms “in response to...”, “in response to determining...”, “in the case of...”, “when...”, “if...”, “if...”, etc., can be used interchangeably.
  • the terms “greater than,” “greater than or equal to,” “not less than,” “more than,” “more than or equal to,” “not less than,” “higher than,” “higher than or equal to,” “not lower than,” and “above” can be used interchangeably, as can the terms “less than,” “less than or equal to,” “not greater than,” “less than,” “less than or equal to,” “not more than,” “lower than,” “lower than or equal to,” “not higher than,” and “below”.
  • the apparatus and device may be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. In some cases, they may also be understood as “equipment”, “device”, “circuit”, “network element”, “node”, “function”, “unit”, “section”, “system”, “network”, “chip”, “chip system”, “entity”, “body”, etc.
  • network can be interpreted as devices included in the network, such as access network devices, core network devices, etc.
  • access network device may also be referred to as “radio access network device (RAN device),” “base station (BS),” “radio base station,” or “fixed station.” In some embodiments, it may also be understood as “node,” “access point,” “transmission point (TP),” “reception point (RP),” or “transmit and/or receive point.” Terms such as “transmission/reception point (TRP)", “panel”, “antenna panel”, “antenna array”, “cell”, “macro cell”, “small cell”, “femto cell”, “pico cell”, “sector”, “cell group”, “serving cell”, “carrier”, “component carrier”, and “bandwidth part (BWP)” are also used.
  • RAN device radio access network device
  • BS base station
  • RP radio base station
  • BWP bandwidth width part
  • terminal or “terminal device” may be referred to as "user equipment (UE),” “user terminal,” “mobile station (MS),” “mobile terminal (MT),” “subscriber station,” “mobile unit,” “subscriber unit,” “wireless unit,” “remote unit,” “mobile device,” “wireless device,” “wireless communication device,” “remote device,” “mobile subscriber station,” “access terminal,” “mobile terminal,” “wireless terminal,” “remote terminal,” “handset,” “user agent,” “mobile client,” “client,” etc.
  • UE user equipment
  • MS mobile station
  • MT mobile terminal
  • the acquisition of data, information, etc. may comply with the laws and regulations of the country where the location is situated.
  • data, information, etc. may be obtained with the user's consent.
  • each element, each row, or each column in the table of this disclosure can be implemented as an independent embodiment, and any combination of any element, any row, or any column can also be implemented as an independent embodiment.
  • 5G will permeate all areas of future society, building a comprehensive information ecosystem centered on the user.
  • 5G user experience speeds can reach 100 Mbps to 1 Gbps, supporting ultimate service experiences such as mobile virtual reality;
  • 5G peak speeds can reach 10 Gbps to 20 Gbps, with a traffic density of up to 10 Mbps per square meter (m2), capable of supporting more than a thousandfold increase in mobile traffic in the future;
  • 5G connection density can reach 100...
  • 5G With a capacity of tens of thousands per square meter (m2), 5G can effectively support a massive number of IoT devices; its transmission latency is in the millisecond range, meeting the stringent requirements of vehicle-to-everything (V2X) and industrial control; and it can support mobile speeds of up to 500 kilometers per hour (km/h), ensuring a good user experience even in high-speed rail environments. It is conceivable that 5G, as a representative of new infrastructure, will reshape the future information society.
  • AI artificial intelligence
  • AI Artificial Intelligence
  • This deployment of computing power enables terminals to flexibly select traditional algorithms or AI methods in various environments.
  • multiple different AI models may be deployed for different input data or scenarios.
  • the terminal schedules either a traditional algorithm or a specific AI model based on the performance of each algorithm in a specific scenario. For example, this may include channel estimation and Channel State Information (CSI) feedback.
  • CSI Channel State Information
  • LMMSE Linear Minimum Mean Squared Error
  • LS Least Squares
  • AI model-based methods utilize pilot information to output a complete channel matrix. Through techniques such as deep learning, these AI models can accurately estimate the complex characteristics and variation patterns of the channel based on the input pilot information.
  • AI-based approaches employ a compression-then-recovery strategy. This method first uses a network-side AI model to compress the CSI information, transmitting the compressed bitstream to the terminal. The terminal then uses a terminal-side model adapted to the network-side model to recover the compressed information and obtain the original CSI information.
  • leveraging AI computing power is not suitable for all scenarios; in fact, the introduction of AI technology can sometimes lead to a decline in user experience.
  • a terminal may choose between traditional algorithms and AI models based on performance, but the number of parameters and computational complexity of traditional and AI algorithms often differ significantly, resulting in different energy consumption when the terminal performs the two operations. Even different AI models performing the same function have different parameters and computational loads, leading to varying power consumption when the terminal executes them.
  • a computationally intensive and energy-intensive algorithm is selected when the terminal's battery is low, further depleting the battery, the terminal may be unable to provide necessary services or functions at critical moments.
  • selecting a low-computational-load and low-energy-consumption algorithm may waste computing resources, preventing the system from reaching its optimal performance.
  • this disclosure determines a communication processing strategy based on terminal information, wherein the communication processing strategy includes communication processing based on AI or communication processing based on non-AI, thereby avoiding the problem that AI computing power is not applicable to all scenarios and thus improving the user experience.
  • Figure 1 is a schematic diagram of a communication system architecture according to an embodiment of the present disclosure.
  • the communication system 100 includes a terminal 101.
  • terminal 101 includes, for example, at least one of the following: mobile phone, wearable device, Internet of Things device, car with communication function, smart car, tablet computer, computer with wireless transceiver function, virtual reality (VR) terminal device, augmented reality (AR) terminal device, wireless terminal device in industrial control, wireless terminal device in self-driving, wireless terminal device in remote medical surgery, wireless terminal device in smart grid, wireless terminal device in transportation safety, wireless terminal device in smart city, and wireless terminal device in smart home, but is not limited thereto.
  • VR virtual reality
  • AR augmented reality
  • the communication system 100 may further include a network device 102 for communicating with the terminal.
  • the network device 102 may transmit a reference signal, which the terminal uses to perform communication processing based on the measurement results of the reference signal after determining a communication processing strategy.
  • the network device may include at least one of an access network device and a core network device.
  • the access network device is, for example, a node or device that connects a terminal to a wireless network.
  • the access network device may include, in a 5G communication system, an evolved Node B (eNB), a next-generation eNB (ng-eNB), a next-generation Node B (gNB), a node B (NB), a home node B (HNB), a home evolved node B (HeNB), a radio backhaul device, a radio network controller (RNC), a base station controller (BSC), and a base transceiver station (BSC).
  • eNB evolved Node B
  • ng-eNB next-generation Node B
  • gNB next-generation Node B
  • NB node B
  • HNB home node B
  • HeNB home evolved node B
  • RNC radio network controller
  • BSC base station controller
  • BSC base transceiver station
  • the system may include, but is not limited to, at least one of the following: a transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open RAN, a cloud RAN, a base station in other communication systems, and an access node in a Wi-Fi system.
  • BTS transceiver station
  • BBU base band unit
  • the technical solutions of this disclosure can be applied to the Open RAN architecture.
  • the interfaces between or within access network devices involved in the embodiments of this disclosure can be transformed into internal interfaces of Open RAN.
  • the processes and information interactions between these internal interfaces can be implemented by software or programs.
  • the access network device may be composed of a central unit (CU) and a distributed unit (DU).
  • the CU may also be called a control unit.
  • the CU-DU structure can separate the protocol layer of the access network device. Some protocol layer functions are centrally controlled by the CU, while the remaining part or all of the protocol layer functions are distributed in the DU and centrally controlled by the CU. However, this is not the only possibility.
  • a core network device may be a single device comprising one or more network elements, or it may be multiple devices or a group of devices, each comprising all or part of the aforementioned one or more network elements.
  • Network elements may be virtual or physical.
  • the core network may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), or a Next Generation Core (NGC).
  • EPC Evolved Packet Core
  • 5GCN 5G Core Network
  • NGC Next Generation Core
  • the following embodiments of this disclosure can be applied to the communication system 100 shown in FIG1, or to some of the main bodies, but are not limited thereto.
  • the main bodies shown in FIG1 are illustrative.
  • the communication system may include all or some of the main bodies in FIG1, or may include other main bodies outside of FIG1.
  • the number and form of each main body are arbitrary.
  • Each main body may be physical or virtual.
  • the connection relationship between the main bodies is illustrative.
  • the main bodies may not be connected or may be connected.
  • the connection can be in any way, it can be a direct connection or an indirect connection, it can be a wired connection or a wireless connection.
  • LTE Long Term Evolution
  • LTE-A LTE-Advanced
  • LTE-B LTE-Beyond
  • SUPER 3G IMT-Advanced
  • 4G 4th generation mobile communication system
  • 5G 5th generation mobile communication system
  • 5G 5G New Radio
  • F New Radio Access
  • RAT New Radio
  • NX New Radio Access
  • F Future Generation Radio Access
  • GSM Global System for Mobile communications
  • CDMA2000 Global System for Mobile communications
  • UMB Ultra Mobile Broadband
  • IEEE 802.11 Wi-Fi (registered trademark)
  • IEEE 802.16 WiMAX (registered trademark)
  • IEEE 802.20 Ultra-Wideband (UWB)
  • Bluetooth registered trademark
  • PLMN Public Land Mobile Network
  • D2D Device-to-Device
  • M2M Machine-to-Machine
  • IoT Internet of Things
  • V2X Vehicle-to-Everything
  • V2X Vehicle-to-Everything
  • systems utilizing other communication methods and next-generation systems extended from them.
  • next-generation systems extended from them can be combined (e.g., a combination of LTE or LTE-A with 5G).
  • Figure 2a is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 2a, this embodiment of the present disclosure relates to a communication method for a communication system 100, the method comprising:
  • step S2101 terminal 101 determines the communication processing strategy based on the terminal information.
  • the terminal can determine a communication processing strategy based on its own information, i.e., terminal information.
  • This communication processing strategy includes AI-based communication processing or non-AI-based communication processing.
  • AI-based communication processing may include, for example, AI-based channel estimation and AI-based CSI feedback, but is not limited to these.
  • non-AI-based communication processing includes, but is not limited to, non-AI-based channel estimation and non-AI-based CSI feedback.
  • Non-AI-based communication processing can also be understood as communication processing based on traditional algorithms.
  • the terminal information includes at least one of the following: the terminal's battery information; and the terminal's user settings information.
  • the user settings information indicates whether communication processing is based on AI or non-AI. That is, the user can select a communication processing strategy through settings, and the terminal can determine the selected communication processing strategy based on the user settings information.
  • battery information includes at least one of the following: remaining battery power; battery health; and battery state of charge.
  • the remaining battery power indicates the amount of battery power remaining in the device during use; typically, when the remaining battery power drops to a certain level, the device needs to be charged.
  • Battery health characterizes battery performance; as the battery is used, its performance may decrease, and its health will decline.
  • the battery state of charge indicates whether the battery is currently being charged.
  • the communication processing strategy is to perform communication processing based on AI, specifically using the AI model with the highest performance value among the AI models deployed on the terminal.
  • this disclosure is not limited to this; communication processing can also be performed based on any AI model deployed on the terminal.
  • the terminal can monitor the remaining battery power in real time. If the remaining battery power is greater than or equal to the first threshold, the communication processing strategy can be determined to be AI-based, specifically using the AI model with the highest performance value among the AI models deployed on the terminal.
  • the terminal when the remaining battery power is greater than or equal to the first threshold, the terminal can withstand greater power consumption without affecting normal use or other ongoing services. Therefore, the AI model with the highest performance value can be selected to maximize communication processing performance, improve communication efficiency, and indirectly enhance the user experience.
  • the communication processing strategy is to perform communication processing based on AI, and to perform polarized communication processing based on the AI model with a non-highest performance value among the AI models deployed on the terminal.
  • the terminal can monitor the remaining battery power in real time. If the remaining battery power is less than or equal to the second threshold value, the communication processing strategy is to perform communication processing based on AI, and to perform polarized communication processing based on the AI model with a non-highest performance value among the AI models deployed on the terminal.
  • the AI model with a non-highest performance value is any AI model other than the AI model with the highest performance value, for example, it could be the AI model with the second highest performance value. It can be understood that when the remaining battery power is less than or equal to the second threshold value, the terminal needs to minimize power consumption. Therefore, it can select an AI model with a lower performance value to maximize communication processing performance while avoiding excessive power consumption. This avoids affecting the normal use of the terminal and other ongoing services in order to maximize performance.
  • the second threshold value can be the same as or different from the first threshold value.
  • the terminal selects the AI model with the highest performance value for communication processing when the remaining battery power is greater than this value, and selects an AI model with a lower performance value for communication processing when the remaining battery power is less than this value.
  • the remaining battery power is equal to this value, either the AI model with the highest performance value or an AI model with a lower performance value can be selected for communication processing.
  • the first threshold value is greater than the second threshold value.
  • the communication processing strategy is to perform communication processing based on non-AI.
  • the terminal can monitor the remaining battery power in real time. If the remaining battery power is less than or equal to the third threshold value, the communication processing strategy is to perform communication processing based on non-AI.
  • the third threshold value and the second threshold value can be the same or different. For example, the third threshold value and the second threshold value can be the same. In this case, when the remaining battery power is less than or equal to this value, the terminal can perform communication processing based on an AI model whose performance value is not the highest, or perform communication processing based on non-AI.
  • the third threshold value and the second threshold value can also be the same as the first threshold value simultaneously, as will not be elaborated further in this disclosure.
  • the third threshold value and the second threshold value can be different, and the third threshold value can be less than the second threshold value.
  • communication processing can be performed based on AI, specifically on the AI model whose performance value is not the highest among at least one AI model deployed on the terminal.
  • communication processing can be performed based on non-AI.
  • the terminal can perform communication processing based on AI when the battery health is greater than or equal to a first threshold, and based on the AI model with the highest performance value among at least one AI model.
  • a first threshold communication processing is performed based on AI, and based on the AI model with a non-highest performance value among at least one AI model.
  • a third threshold communication processing is performed based on non-AI methods.
  • the scheme for the terminal to determine the communication processing strategy based on the battery health can refer to the above embodiments of the scheme for determining the communication processing strategy based on the remaining battery power, and will not be repeated here.
  • the terminal can choose to perform communication processing based on non-AI methods when the battery is charging, and choose to perform communication processing based on AI methods when the battery is not charging. This avoids poor battery charging performance and potential battery damage.
  • the communication processing strategy is to perform communication processing based on any one of the top N AI models in terms of performance value among at least one AI model deployed on the terminal, where N is a positive integer greater than zero. That is, when the user prioritizes communication processing performance, to achieve better performance, the terminal can select any one of the top N AI models in terms of performance value, for example, it can select the AI model with the highest performance value.
  • the communication strategy is to perform communication processing based on any one of the top M low-power AI models among at least one AI model deployed on the terminal.
  • M is a positive integer greater than zero. That is, when the user prioritizes power consumption for communication processing, the terminal can select at least one of the top M low-power AI models.
  • the top M low-power AI models are those whose power consumption is ranked from lowest to highest, and the M AI models with the lowest power consumption are the top M low-power AI models.
  • the terminal can also choose to perform communication processing based on non-AI models.
  • the terminal can determine a communication processing strategy based on the battery information and user settings information. For example, if the user settings prioritize communication processing performance, the terminal can first determine the top N performance values. The terminal selects an AI model. If the terminal's remaining battery power is greater than or equal to a first threshold, the AI model with the highest performance among the N AI models can be selected for communication processing. If the terminal's remaining battery power is less than or equal to a second threshold, the AI model with a non-highest performance among the N AI models can be selected for communication processing. For example, if the user prioritizes power consumption for communication processing, the terminal can first determine the lowest power consumption and the top M AI models.
  • the AI model with the highest performance among the M AI models can be selected. If the terminal's remaining battery power is less than or equal to the second threshold, the AI model with a non-highest performance among the M AI models can be selected. If the terminal's remaining battery power is less than or equal to a third threshold, communication processing can be performed based on a non-AI model.
  • the terminal can determine a communication processing strategy based on battery information.
  • operation information is displayed. This operation information is used to determine user settings. Specifically, by displaying operation information, the terminal prompts the user whether to actively select a communication processing strategy. If the user performs an operation, i.e., sets a communication processing strategy, the terminal can determine the communication processing strategy based on the user settings. For example, the operation information could suggest whether to prioritize the power consumption of communication processing. Alternatively, it could prompt whether to disable the AI model or whether to disable AI-based communication processing, etc.
  • step S2102 terminal 101 performs communication processing based on the communication processing strategy.
  • communication processing can be performed according to a determined communication processing strategy.
  • the terminal can, when the battery is sufficiently charged (e.g., the remaining battery power is greater than or equal to a first threshold), use an AI-based neural network model to learn and process pilot information, thereby outputting a complete channel matrix.
  • the terminal can, when the battery is sufficiently charged (e.g., the remaining battery power is greater than or equal to a first threshold), select an AI-based CSI information compression and recovery method for processing.
  • the terminal can perform channel estimation using the LMMSE or LS algorithm when the battery is low, such as when the remaining battery power is less than or equal to the second threshold, to reduce computational load and energy consumption.
  • the terminal can use traditional algorithms for encoding and decoding based on a predefined codebook when the battery is low, such as when the remaining battery power is less than or equal to the second threshold.
  • step S2103 terminal 101 sends the result of communication processing to network device 102.
  • network device 102 receives the results of communication processing sent by terminal 101.
  • the terminal may send the channel matrix of channel estimation to the network device, or feed back CSI information to the network device.
  • the terminal may also report the determined communication processing strategy to the network device. For example, the terminal may report the communication processing strategy and the communication processing result to the network device together. Alternatively, the terminal may first send the communication processing strategy to the network device, and then report the communication processing result to the network device.
  • Figure 2b is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 2b, this embodiment of the present disclosure relates to a communication method for a communication system 100, the method comprising:
  • step S2201 terminal 101 determines the communication processing strategy based on the battery information.
  • step S2201 can be found in the various embodiments of step S2101 in Figure 2a, which will not be elaborated here.
  • step S2202 terminal 101 responds to the fact that the remaining power is less than or equal to the fourth threshold value and displays operation information.
  • step S2202 can be referred to the various embodiments of step S2101 in Figure 2a, which will not be elaborated here.
  • step S2203 terminal 101 responds to the user's setting of priority power consumption for communication processing based on operation information, and redetermines the communication processing strategy according to the user's setting information.
  • step S2203 can be referred to the various embodiments of step S2101 in Figure 2a, which will not be elaborated here.
  • step S2204 in response to the user's failure to prioritize the power consumption of communication processing based on the operation information, terminal 101 continues to determine the communication processing strategy based on the battery information.
  • step S2204 can be referred to the various embodiments of step S2101 in Figure 2a, which will not be repeated here.
  • step S2205 terminal 101 performs communication processing based on the communication processing strategy.
  • step S2205 can be referred to the various embodiments of step S2102 in Figure 2a, which will not be elaborated here.
  • step S2206 terminal 101 sends the result of communication processing to network device 102.
  • step S2206 can be referred to the various embodiments of step S2103 in Figure 2a, which will not be elaborated here.
  • Figure 3a is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 3a, this embodiment of the present disclosure relates to a communication method for a terminal 101, the method comprising:
  • Step S3101 Determine the communication processing strategy based on the terminal information.
  • step S3101 can be found in the optional implementation of step S2101 in Figure 2a, and other related parts in the embodiment involved in Figure 2a, which will not be repeated here.
  • Step S3102 Perform communication processing based on the communication processing strategy.
  • step S3102 please refer to the optional implementations of step S2102 in Figure 2a, and the implementations involved in Figure 2a. Other related parts in the example will not be elaborated here.
  • Step S3103 Send the result of the communication processing.
  • step S3103 can be found in the optional implementation of step S2103 in Figure 2a, and other related parts in the embodiment involved in Figure 2a, which will not be repeated here.
  • terminal 101 sends the result of communication processing to network device 102, but is not limited thereto; it may also send the result of communication processing to other entities.
  • Figure 3b is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 3b, this embodiment of the present disclosure relates to a communication method for a terminal 101, the method comprising:
  • Step S3201 Determine the communication processing strategy based on the battery information.
  • step S3201 can be found in the optional implementation of step S2201 in Figure 2b, and other related parts in the embodiment involved in Figure 2b, which will not be repeated here.
  • step S3202 in response to the remaining battery power being less than or equal to the fourth threshold value, operation information is displayed.
  • step S3202 can be found in the optional implementation of step S2202 in Figure 2b, and other related parts in the embodiment involved in Figure 2b, which will not be repeated here.
  • Step S3203 In response to the user setting the power consumption of prioritizing communication processing based on operation information, the communication processing strategy is redefined according to the user setting information.
  • step S3203 can be found in the optional implementation of step S2203 in Figure 2b, and other related parts in the embodiment involved in Figure 2b, which will not be repeated here.
  • step S3204 in response to the user not setting the priority of power consumption for communication processing based on the operation information, the communication processing strategy is determined based on the battery information.
  • step S3204 can be found in the optional implementation of step S2204 in Figure 2b, and other related parts in the embodiment involved in Figure 2b, which will not be repeated here.
  • Step S3205 Perform communication processing based on the communication processing strategy.
  • step S3205 can be found in the optional implementation of step S2205 in Figure 2b, and other related parts in the embodiment involved in Figure 2b, which will not be repeated here.
  • Step S3206 Send the result of the communication processing.
  • step S3206 can be found in the optional implementation of step S2206 in Figure 2b, and other related parts in the embodiment involved in Figure 2b, which will not be repeated here.
  • FIG. 4 is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 4, this embodiment of the present disclosure relates to a communication method executed by a network device 102, the method comprising:
  • Step S4101 Obtain the result of the communication processing.
  • step S4101 can be found in the optional implementation of step S2103 in Figure 2a, as well as other related parts in the embodiment involved in Figure 2a, which will not be repeated here.
  • network device 102 receives first information sent by terminal 101, but is not limited thereto; it may also receive first information sent by other entities.
  • network device 102 obtains first information as defined by a protocol.
  • network device 102 obtains first information from upper layer(s).
  • network device 102 processes information to obtain first information.
  • step S4101 is omitted, and the network device 102 autonomously implements the function indicated by the first information, or the above function is default or default.
  • this disclosure also provides a communication method, as follows:
  • the terminal device deploys a traditional algorithm module and several AI computing power modules.
  • the terminal monitors and evaluates its own power status in real time, including remaining power, charging status, and battery health. Based on the current power status, the terminal dynamically adjusts the selected AI operation type and parameter configuration according to the AI operation selection strategy.
  • the terminal in response to the terminal-side battery level being higher than a first threshold, the terminal selects an operation with better communication processing performance but higher power consumption.
  • the terminal in response to the terminal-side battery level falling below a second threshold, a first threshold, and multiple models being deployed on the terminal side for the same function, the terminal selects the AI model with the second-best performance but lower power consumption.
  • the terminal-side AI-based operation in response to the terminal-side battery level falling below a third threshold, the terminal-side AI-based operation is disabled.
  • the terminal can further select AI operations based on user settings. For example, the user can pre-configure that transmission performance is prioritized, in which case the terminal will not switch between different AI operations based on battery level. Or, when the battery level is below a certain threshold, A pop-up window prompts the user whether to select a more power-efficient AI processing option.
  • communication processing may include, for example, channel estimation, CSI feedback, etc., but is not limited thereto.
  • the terminal determines a channel estimation strategy based on terminal information.
  • This terminal information may include battery information, specifically the remaining battery power. If the remaining battery power is greater than or equal to a first threshold, the channel estimation strategy is AI-based channel estimation; if the remaining battery power is less than or equal to a third threshold, the channel estimation strategy is non-AI-based channel estimation.
  • the channel estimation strategy is to use a neural network model based on AI technology to learn and process the pilot information, thereby outputting a complete channel matrix; if the remaining battery power is less than or equal to the third threshold, the channel estimation strategy is to use a channel estimation algorithm based on the Least Mean Square Error (LMMSE) or the Least Squares (LS) algorithm.
  • LMMSE Least Mean Square Error
  • LS Least Squares
  • the terminal determines the CSI feedback strategy based on terminal information.
  • This terminal information might include battery information, specifically the remaining battery power. If the remaining battery power is greater than or equal to a first threshold, the CSI feedback strategy is AI-based CSI feedback; if the remaining battery power is less than or equal to a third threshold, the CSI feedback strategy is non-AI-based CSI feedback. For instance, if the remaining battery power is greater than or equal to the first threshold, the CSI feedback strategy is to select an AI-based CSI information compression and recovery method for processing; if the remaining battery power is less than or equal to the third threshold, the CSI feedback strategy is to preferentially select a traditional algorithm based on a predefined codebook for encoding and decoding.
  • the terminal switches between AI and non-AI operations for the channel estimation/CSI feedback tasks according to the technical solution of this invention:
  • the terminal selects a high-performance but energy-intensive AI model-based method for processing based on the sufficient power status.
  • a neural network model using AI technology is used to learn and process pilot information, thereby outputting a complete channel matrix.
  • the terminal For CSI feedback tasks, when the terminal has sufficient power, it selects an AI-based CSI information compression and recovery method for processing.
  • Low battery status The terminal prioritizes AI algorithms or traditional algorithms with lower power consumption based on the low battery status.
  • LMMSE Least Mean Square Error
  • LS Least Squares
  • the terminal when the terminal is low on power, it prioritizes traditional algorithms that encode and decode based on a predefined codebook.
  • Figure 5a is a schematic diagram of the structure of a terminal 5100 according to an embodiment of the present disclosure.
  • the terminal 5100 may include a processing module 5101, configured to determine a communication processing strategy based on terminal information, wherein the communication processing strategy includes communication processing based on artificial intelligence (AI) or communication processing based on non-AI.
  • AI artificial intelligence
  • the terminal information includes at least one of the following: battery information of the terminal; user settings information of the terminal, wherein the user settings information is used to indicate whether the communication processing is based on AI or on non-AI.
  • the battery information includes at least one of the following: the remaining battery capacity; the battery health status; and the battery charging status.
  • the terminal information includes the terminal's battery information
  • the battery information includes the remaining battery power
  • the remaining battery power is greater than or equal to a first threshold value
  • the communication processing strategy is to perform communication processing based on AI, and to perform communication processing based on the AI model with the highest performance value among at least one AI model deployed on the terminal.
  • the terminal information includes the terminal's battery information
  • the battery information includes the remaining battery power
  • the remaining battery power is less than or equal to a second threshold value
  • the communication processing strategy is to perform communication processing based on AI, and to perform communication processing based on the AI model with the non-highest performance value among at least one AI model deployed on the terminal.
  • the terminal information includes the terminal's battery information, which includes the remaining battery power, wherein the remaining battery power is less than or equal to a third threshold value, and the communication processing strategy is to perform communication processing based on non-AI.
  • the terminal information includes user settings information of the terminal, the user settings information prioritizing the performance of communication processing, the communication processing strategy being based on AI for communication processing, and based on any one of the top N AI models in performance value ranking among at least one AI model deployed on the terminal for communication processing, where N is a positive integer greater than zero.
  • the terminal information includes user settings information of the terminal, the user settings information prioritizing power consumption for communication processing, and the communication processing strategy being either communication processing based on non-AI models or communication processing based on any one of the top M low-power AI models deployed on the terminal, where M is a positive integer greater than zero.
  • the terminal information includes the terminal's battery information and the terminal's user settings information.
  • the battery information includes the remaining battery power.
  • the processing module 5101 is further configured to: display operation information in response to the remaining battery power being less than or equal to a fourth threshold value. The operation information is used to determine the user settings information.
  • the terminal may further include a transceiver module 5102 for performing the relevant steps of the embodiments.
  • Figure 5b is a schematic diagram of the structure of a network device 5200 according to an embodiment of the present disclosure.
  • the network device 5200 may include a transceiver module 5201, used to receive the result of communication processing sent by a terminal.
  • the network device 5200 further includes a processing module 5202 for performing the corresponding steps of the embodiments of this disclosure.
  • Figure 6a is a schematic diagram illustrating the structure of a communication device 6100 according to an embodiment of this disclosure.
  • the communication device 6100 can be a network device, a terminal, or a chip, chip system, or processor that supports the implementation of any of the above methods in the network device, or a chip, chip system, or processor that supports the implementation of any of the above methods in the terminal.
  • the network device can be an access network device, a core network device, etc.
  • the terminal can be a user equipment, etc.
  • the communication device 6100 can be used to implement the methods described in the above method embodiments; for details, please refer to the descriptions in the above method embodiments.
  • the communication device 6100 includes one or more processors 6101.
  • the processor 6101 can be a general-purpose processor or a dedicated processor, such as a baseband processor or a central processing unit (CPU).
  • the baseband processor can be used to process communication protocols and communication data, while the CPU can be used to control the communication device, execute programs, and process program data.
  • the communication device 6100 is used to execute any of the above methods.
  • the communication device can be a base station, a baseband chip, a terminal device, a terminal device chip, a DU, or a CU, etc.
  • the communication device 6100 further includes one or more memories 6102 for storing instructions.
  • the memories 6102 may also be located outside the communication device 6100.
  • the communication device 6100 further includes one or more transceivers 6103.
  • the transceivers 6103 perform communication steps S2101 such as sending and/or receiving in the above method, and the processor 6101 performs other steps.
  • a transceiver may include a receiver and/or a transmitter, which may be separate or integrated.
  • the terms transceiver, transceiver unit, transceiver, transceiver circuit, etc. may be used interchangeably; the terms transmitter, transmitting unit, transmitter, transmitting circuit, etc., may be used interchangeably; and the terms receiver, receiving unit, receiver, receiving circuit, etc., may be used interchangeably.
  • the communication device 6100 may include one or more interface circuits 6104.
  • the interface circuit 6104 is connected to the memory 6102, and the interface circuit 6104 can be used to receive signals from the memory 6102 or other devices, and can be used to send signals to the memory 6102 or other devices.
  • the interface circuit 6104 can read instructions stored in the memory 6102 and send the instructions to the processor 6101.
  • the communication device 6100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 6100 described in this disclosure is not limited thereto, and the structure of the communication device 6100 may not be limited by FIG. 6a.
  • the communication device may be a standalone device or a part of a larger device.
  • the communication device may be: (1) a standalone integrated circuit IC, or chip, or chip system or subsystem; (2) a collection of one or more ICs, optionally, the IC collection may also include storage components for storing data and programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, terminal device, smart terminal device, cellular phone, wireless device, handheld device, mobile unit, vehicle device, network device, cloud device, artificial intelligence device, etc.; (6) others, etc.
  • Figure 6b is a schematic diagram of the structure of chip 6200 according to an embodiment of this disclosure.
  • the communication device 6100 can be a chip or a chip system
  • the schematic diagram of the structure of chip 6200 shown in Figure 6b can be referred to, but is not limited thereto.
  • Chip 6200 includes one or more processors 6201, which are used to perform any of the above methods.
  • chip 6200 further includes one or more interface circuits 6202.
  • the interface circuit 6202 is connected to memory 6203, and the interface circuit 6202 can be used to receive signals from memory 6203 or other devices, and the interface circuit 6202 can be used to send signals to memory 6203 or other devices.
  • the interface circuit 6202 can read instructions stored in memory 6203 and send the instructions to processor 6201.
  • the interface circuit 6202 performs communication steps S2101 such as sending and/or receiving in the above method, and the processor 6201 performs other steps.
  • interface circuit In some embodiments, the terms interface circuit, interface, transceiver pin, transceiver, etc., can be used interchangeably.
  • chip 6200 further includes one or more memories 6203 for storing instructions.
  • all or part of the memories 6203 may be located outside of chip 6200.
  • the storage medium is an electronic storage medium.
  • the storage medium is a computer-readable storage medium, but not limited thereto; it may also be a storage medium readable by other devices.
  • the storage medium may be a non-transitory storage medium, but not limited thereto; it may also be a temporary storage medium.
  • This disclosure also proposes a program product, which, when executed by the communication device 6100, causes the communication device 6100 to perform the above... Any method.
  • the above program product is a computer program product.
  • This disclosure also proposes a computer program that, when run on a computer, causes the computer to perform any of the above methods.

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Abstract

本公开涉及通信方法、终端、存储介质及程序产品。通信方法包括：终端根据终端信息，确定通信处理策略，所述通信处理策略包括基于人工智能AI进行通信处理或基于非AI进行通信处理。本公开避免利用AI算力不适用所有场景的问题，从而提高用户体验感。

Description

通信方法、终端、存储介质及程序产品 技术领域
本公开涉及通信技术领域，尤其涉及通信方法、终端、存储介质及程序产品。
背景技术
关于人工智能(Artificial Intelligence，AI)技术，目前正在探讨人工智能技术如何对无线空口的传输技术进行辅助提高。例如，在某些终端中，部署了AI算力以及对应的AI功能，利用AI算力在某些特定场景中会获得较好的性能。
发明内容
然而，利用AI算力并不适用于所有场景，AI技术的引进导致用户体验感反而是下降的。
本公开实施例提出了通信方法、终端、存储介质及程序产品。
根据本公开实施例的第一方面，提出了一种通信方法，方法包括：终端根据终端信息，确定通信处理策略，所述通信处理策略包括基于人工智能AI进行通信处理或基于非AI进行通信处理。
根据本公开实施例的第二方面，提出了一种终端，包括：处理模块，用于根据终端信息，确定通信处理策略，所述通信处理策略包括基于人工智能AI进行通信处理或基于非AI进行通信处理。
根据本公开实施例的第三方面，提出了一种终端，包括：一个或多个处理器；其中，终端用于执行第一方面及第一方面中的任一项通信方法。
根据本公开实施例的第四方面，提出了一种存储介质，存储介质存储有指令，当指令在通信设备上运行时，使得通信设备执行如第一方面及第一方面中的任一项通信方法。
根据本公开实施例的第五方面，提出了一种程序产品，包括：计算机程序，所述计算机程序被通信设备执行时，使得所述通信设备执行如第一方面及第一方面中任一项所述的通信方法。
本公开通过终端根据终端信息，确定通信处理策略，其中通信处理策略包括基于AI进行通信处理或基于非AI进行通信处理，从而避免利用AI算力不适用所有场景的问题，从而提高用户体验感。
附图说明
为了更清楚地说明本公开实施例中的技术方案，以下对实施例描述所需的附图进行介绍，以下附图仅仅是本公开的一些实施例，不对本公开的保护范围造成具体限制。
图1是根据本公开实施例示出的通信系统架构示意图。
图2a是根据本公开实施例示出的一种通信方法交互示意图。
图2b是根据本公开实施例示出的一种通信方法交互示意图。
图3a是根据本公开实施例示出的通信方法流程图。
图3b是根据本公开实施例示出的通信方法流程图。
图4是根据本公开实施例示出的通信方法流程图。
图5a是根据本公开实施例示出的终端的结构示意图。
图5b是根据本公开实施例示出的网络设备的结构示意图。
图6a是本公开实施例示出的一种通信设备的结构示意图。
图6b是本公开实施例示出的芯片结构示意图。
具体实施方式
本公开实施例提出了通信方法、终端、存储介质及程序产品。
第一方面，本公开实施例提出了一种通信方法，方法包括：终端根据终端信息，确定通信处理策略，所述通信处理策略包括基于人工智能AI进行通信处理或基于非AI进行通信处理。
在上述实施例中，终端根据终端信息，确定通信处理策略，其中通信处理策略包括基于AI进行通信处理或基于非AI进行通信处理，从而避免利用AI算力不适用所有场景的问题，从而提高用户体验感。
在第一方面的一些可选实施例中，所述终端信息包括以下至少一项：所述终端的电池信息；所述终端的用户设置信息，所述用户设置信息用于表示设置基于AI进行通信处理或设置基于非AI进行通信处理。
在上述实施例中，可以根据终端的电池信息，确定通信处理的策略，也可以根据终端的用户设置信息，确定通信处理，也可以根据终端的电池信息和终端的用户设置信息，确定通信处理策略，从而灵活地适用于不同情况，提高用户体验感。
在第一方面的一些可选实施例中，所述电池信息包括以下至少一项：电池的剩余电量；电池的健康度；电池的充电状态。
在上述实施例中，电池信息包括电池的剩余电量，例如，当剩余电量较低时，可以选择使用功耗低，性能低的策略。电池信息可以包括电池的健康度，例如，当电池的健康度较低时，可以选择使用功耗低，性能低的策略。电池信息可以包括电池的充电状态，例如，当电池正在充电，可以选择使用功耗低，性能低的策略。
在第一方面的一些可选实施例中，所述终端信息包括终端的电池信息，所述电池信息包括电池的剩余电量，所述剩余电量大于或等于第一门限值，所述通信处理策略为基于AI进行通信处理，且基于所述终端部署的至少一个AI模型中性能值最高的AI模型进行通信处理。
在上述实施例中，当电池的剩余电量大于或等于第一门限值时，可以基于AI进行通信处理，且基于至少一个AI模型中性能值最高的AI模型进行通信处理，从而得到较高的性能。
在第一方面的一些可选实施例中，所述终端信息包括终端的电池信息，所述电池信息包括电池的剩余电量，所述剩余电量小于或等于第二门限值，所述通信处理的策略为基于AI进行通信处理，且基于所述终端部署的至少一个AI模型中性能值非最高的AI模型进行通信处理。
在上述实施例中，当电池的剩余电量小于或等于第二门限值时，可以基于AI进行通信处理，但基于至少一个AI模型中性能值非最高的AI模型进行通信处理，从而能够达到较高的性能的同时，不造成太大的功耗消耗。
在第一方面的一些可选实施例中，所述终端信息包括终端的电池信息，所述电池信息包括电池的剩余电量，所述剩余电量小于或等于第三门限值，所述通信处理的策略为基于非AI进行通信处理。
在上述实施例中，当电池的剩余电量小于或等于第三门限值时，可以基于非AI进行通信处理，即关闭AI的操作，以节省功耗。
在第一方面的一些可选实施例中，所述终端信息包括所述终端的用户设置信息，所述用户设置信息为优先考虑通信处理的性能，所述通信处理的策略为基于AI进行通信处理，且基于所述终端部署的至少一个AI模型中性能值排序前N的任意一个AI模型进行通信处理，所述N为大于零的正整数。
在上述实施例中，若用户设置了优先考虑通信处理的性能，则终端可以基于AI进行处理，并基于至少一个AI模型中性能值排序前N的任意一个AI模型进行通信处理。以达到较好的性能。
在第一方面的一些可选实施例中，所述终端信息包括所述终端的用户设置信息，所述用户设置信息为优先考虑通信处理的功耗，所述通信处理的策略为基于非AI进行通信处理，或基于所述终端部署的至少一个AI模型中低功耗排序前M的任意一个AI模型进行通信处理，所述M为大于零的正整数。
在上述实施例中，若用户设置了优先考虑通信处理的功耗，则终端可以基于非AI进行处理，或基于至少一个AI模型中低功耗排序前M的任意一个AI模型进行处理，以达到节省功耗的目的。
在第一方面的一些可选实施例中，所述终端信息包括所述终端的电池信息和所述终端的用户设置信息，所述电池信息包括电池的剩余电量，所述方法还包括：响应于所述剩余电量小于或等于第四门限值，显示操作信息，所述操作信息用于确定用户设置信息。
在上述实施例中，终端也可以根据电池信息，确定是否要提示用户对通信策略进行设置，并根据用户设置信息，确定通信策略。例如，当电池剩余电量小于或等于第四门限值时，可以显示操作信息，以用于确定用户的设置信息。
第二方面，提供一种终端，包括：处理模块，用于根据终端信息，确定通信处理策略，所述通信处理策略包括基于人工智能AI进行通信处理或基于非AI进行通信处理。
在第二方面的一些可选实施例中，所述终端信息包括以下至少一项：所述终端的电池信息；所述终端的用户设置信息，所述用户设置信息用于表示设置基于AI进行通信处理或设置基于非AI进行通信处理。
在第二方面的一些可选实施例中，所述电池信息包括以下至少一项：电池的剩余电量；电池的健康度；电池的充电状态。
在第二方面的一些可选实施例中，所述终端信息包括终端的电池信息，所述电池信息包括电池的剩余电量，所述剩余电量大于或等于第一门限值，所述通信处理策略为基于AI进行通信处理，且基于所述终端部署的至少一个AI模型中性能值最高的AI模型进行通信处理。
在第二方面的一些可选实施例中，所述终端信息包括终端的电池信息，所述电池信息包括电池的剩余电量，所述剩余电量小于或等于第二门限值，所述通信处理的策略为基于AI进行通信处理，且基于所述终端部署的至少一个AI模型中性能值非最高的AI模型进行通信处理。
在第二方面的一些可选实施例中，所述终端信息包括终端的电池信息，所述电池信息包括电池的 剩余电量，所述剩余电量小于或等于第三门限值，所述通信处理的策略为基于非AI进行通信处理。
在第二方面的一些可选实施例中，所述终端信息包括所述终端的用户设置信息，所述用户设置信息为优先考虑通信处理的性能，所述通信处理的策略为基于AI进行通信处理，且基于所述终端部署的至少一个AI模型中性能值排序前N的任意一个AI模型进行通信处理，所述N为大于零的正整数。
在第二方面的一些可选实施例中，所述终端信息包括所述终端的用户设置信息，所述用户设置信息为优先考虑通信处理的功耗，所述通信处理的策略为基于非AI进行通信处理，或基于所述终端部署的至少一个AI模型中低功耗排序前M的任意一个AI模型进行通信处理，所述M为大于零的正整数。
在第二方面的一些可选实施例中，所述终端信息包括所述终端的电池信息和所述终端的用户设置信息，所述电池信息包括电池的剩余电量，所述处理模块还用于：响应于所述剩余电量小于或等于第四门限值，显示操作信息，所述操作信息用于确定用户设置信息。
第三方面，提供一种终端，包括：一个或多个处理器；其中，终端用于执行第一方面及第一方面中的任一项通信方法。
第四方面，提供一种存储介质，存储介质存储有指令，当指令在通信设备上运行时，使得通信设备执行如第一方面及第一方面中的任一项通信方法。
第五方面，本公开实施例提出了程序产品，上述程序产品被通信设备执行时，使得上述通信设备执行如第一方面及第一方面中的任一项可选实现方式所描述的方法。
第六方面，本公开实施例提出了计算机程序，当其在计算机上运行时，使得计算机执行如第一方面的可选实现方式所描述的方法。
第七方面，本公开实施例提供了一种芯片或芯片系统。该芯片或芯片系统包括处理电路，被配置为执行根据上述第一方面的可选实现方式所描述的方法。
可以理解地，本公开各实施例所涉及的终端、接入网设备、第一网元、其它网元、核心网设备、通信系统、存储介质、程序产品、计算机程序、芯片或芯片系统均用于执行本公开实施例所提出的方法。因此，其所能达到的有益效果可以参考对应方法中的有益效果，此处不再赘述。
本公开实施例提出了通信方法、终端、存储介质及程序产品。在一些实施例中，通信方法与信息处理方法、通信方法等术语可以相互替换，通信装置与信息处理装置、通信装置等术语可以相互替换，信息处理系统、通信系统等术语可以相互替换。
本公开实施例并非穷举，仅为部分实施例的示意，不作为对本公开保护范围的具体限制。在不矛盾的情况下，某一实施例中的每个步骤均可以作为独立实施例来实施，且各步骤之间可以任意组合，例如，在某一实施例中去除部分步骤后的方案也可以作为独立实施例来实施，且在某一实施例中各步骤的顺序可以任意交换，另外，某一实施例中的可选实现方式可以任意组合；此外，各实施例之间可以任意组合，例如，不同实施例的部分或全部步骤可以任意组合，某一实施例可以与其他实施例的可选实现方式任意组合。
在各本公开实施例中，如果没有特殊说明以及逻辑冲突，各实施例之间的术语和/或描述具有一致性，且可以互相引用，不同实施例中的技术环境根据其内在的逻辑关系可以组合形成新的实施例。
本公开实施例中所使用的术语只是为了描述特定实施例的目的，而并非作为对本公开的限制。
在本公开实施例中，除非另有说明，以单数形式表示的元素，如“一个”、“一种”、“该”、“上述”、“所述”、“前述”、“这一”等，可以表示“一个且只有一个”，也可以表示“一个或多个”、“至少一个”等。例如，在翻译中使用如英语中的“a”、“an”、“the”等冠词(article)的情况下，冠词之后的名词可以理解为单数表达形式，也可以理解为复数表达形式。
在本公开实施例中，“多个”是指两个或两个以上。
在一些实施例中，“至少一者(至少一项、至少一个)(at least one of)”、“一个或多个(one or more)”、“多个(a plurality of)”、“多个(multiple)等术语可以相互替换。
在一些实施例中，“A、B中的至少一者”、“A和/或B”、“在一情况下A，在另一情况下B”、“响应于一情况A，响应于另一情况B”等记载方式，根据情况可以包括以下技术方案：在一些实施例中A(与B无关地执行A)；在一些实施例中B(与A无关地执行B)；在一些实施例中从A和B中选择执行(A和B被选择性执行)；在一些实施例中A和B(A和B都被执行)。当有A、B、C等更多分支时也类似上述。
在一些实施例中，“A或B”等记载方式，根据情况可以包括以下技术方案：在一些实施例中A(与B无关地执行A)；在一些实施例中B(与A无关地执行B)；在一些实施例中从A和B中选 择执行(A和B被选择性执行)。当有A、B、C等更多分支时也类似上述。
本公开实施例中的“第一”、“第二”等前缀词，仅仅为了区分不同的描述对象，不对描述对象的位置、顺序、优先级、数量或内容等构成限制，对描述对象的陈述参见权利要求或实施例中上下文的描述，不应因为使用前缀词而构成多余的限制。例如，描述对象为“字段”，则“第一字段”和“第二字段”中“字段”之前的序数词并不限制“字段”之间的位置或顺序，“第一”和“第二”并不限制其修饰的“字段”是否在同一个消息中，也不限制“第一字段”和“第二字段”的先后顺序。再如，描述对象为“等级”，则“第一等级”和“第二等级”中“等级”之前的序数词并不限制“等级”之间的优先级。再如，描述对象的数量并不受序数词的限制，可以是一个或者多个，以“第一装置”为例，其中“装置”的数量可以是一个或者多个。此外，不同前缀词修饰的对象可以相同或不同，例如，描述对象为“装置”，则“第一装置”和“第二装置”可以是相同的装置或者不同的装置，其类型可以相同或不同；再如，描述对象为“信息”，则“第一信息”和“第二信息”可以是相同的信息或者不同的信息，其内容可以相同或不同。
在一些实施例中，“包括A”、“包含A”、“用于指示A”、“携带A”，可以解释为直接携带A，也可以解释为间接指示A。
在一些实施例中，“响应于……”、“响应于确定……”、“在……的情况下”、“在……时”、“当……时”、“若……”、“如果……”等术语可以相互替换。
在一些实施例中，“大于”、“大于或等于”、“不小于”、“多于”、“多于或等于”、“不少于”、“高于”、“高于或等于”、“不低于”、“以上”等术语可以相互替换，“小于”、“小于或等于”、“不大于”、“少于”、“少于或等于”、“不多于”、“低于”、“低于或等于”、“不高于”、“以下”等术语可以相互替换。
在一些实施例中，装置和设备可以解释为实体的、也可以解释为虚拟的，其名称不限定于实施例中所记载的名称，在一些情况下也可以被理解为“设备(equipment)”、“设备(device)”、“电路”、“网元”、“节点”、“功能”、“单元”、“部件(section)”、“系统”、“网络”、“芯片”、“芯片系统”、“实体”、“主体”等。
在一些实施例中，“网络”可以解释为网络中包含的装置，例如，接入网设备、核心网设备等。
在一些实施例中，“接入网设备(access network device，AN device)”也可以被称为“无线接入网设备(radio access network device，RAN device)”、“基站(base station，BS)”、“无线基站(radio base station)”、“固定台(fixed station)”，在一些实施例中也可以被理解为“节点(node)”、“接入点(access point)”、“发送点(transmission point，TP)”、“接收点(reception point，RP)”、“发送和/或接收点(transmission/reception point，TRP)”、“面板(panel)”、“天线面板(antenna panel)”、“天线阵列(antenna array)”、“小区(cell)”、“宏小区(macro cell)”、“小型小区(small cell)”、“毫微微小区(femto cell)”、“微微小区(pico cell)”、“扇区(sector)”、“小区组(cell group)”、“服务小区”、“载波(carrier)”、“分量载波(component carrier)”、“带宽部分(bandwidth part，BWP)”等。
在一些实施例中，“终端(terminal)”或“终端设备(terminal device)”可以被称为“用户设备(user equipment，UE)”、“用户终端(user terminal)”、“移动台(mobile station，MS)”、“移动终端(mobile terminal，MT)”、订户站(subscriber station)、移动单元(mobile unit)、订户单元(subscriber unit)、无线单元(wireless unit)、远程单元(remote unit)、移动设备(mobile device)、无线设备(wireless device)、无线通信设备(wireless communication device)、远程设备(remote device)、移动订户站(mobile subscriber station)、接入终端(access terminal)、移动终端(mobile terminal)、无线终端(wireless terminal)、远程终端(remote terminal)、手持设备(handset)、用户代理(user agent)、移动客户端(mobile client)、客户端(client)等。
在一些实施例中，获取数据、信息等可以遵照所在地国家的法律法规。
在一些实施例中，可以在得到用户同意后获取数据、信息等。
此外，本公开实施例的表格中的每一元素、每一行、或每一列均可以作为独立实施例来实施，任意元素、任意行、任意列的组合也可以作为独立实施例来实施。
目前，5G技术的广泛应用为人们生活的方方面面带来巨大改变。根据国际电信联盟(international telecommunication union，ITU)的愿景，5G将渗透到未来社会的各个领域，以用户为中心构建全方位的信息生态系统。其中，5G用户体验速率可达100兆比特每秒(Mbit/s)～1千兆比特(Gbit/s)，能够支持移动虚拟现实等极致业务体验；5G峰值速率可达10Gbit/s～20Gbit/s，流量密度可达10兆比特每秒每平方米(Mbit/s/m2)，能够支持未来千倍以上移动业务流量的增长；5G联接数密度可达100 万个每平方米(/m2)，能够有效支持海量的物联网设备；5G传输时延可达毫秒量级，可满足车联网和工业控制的严苛要求；5G能够支持500千米每小时(km/h)的移动速度，能够在高铁环境下满足良好的用户体验。可以想见，5G作为新型基础设施代表将重新构建未来的信息化社会。
近年来，人工智能(artificial intelligence，AI)技术在多个领域取得不断突破。智能语音、计算机视觉等领域的持续发展不仅为智能终端带来丰富多彩的各种应用，在教育、交通、家居、医疗、零售、安防等多个领域也有广泛应用，给人们生活带来便利同时，也在促进各个行业进行产业升级。AI技术也正在加速与其他学科领域交叉渗透，其发展融合不同学科知识同时，也为不同学科的发展提供了新的方向和方法。
关于人工智能(Artificial Intelligence，AI)技术，目前正在探讨人工智能技术如何对无线空口的传输技术进行辅助提高。例如，在某些终端中，部署了AI算力以及对应的AI功能，利用AI算力在某些特定场景中会获得较好的性能。
这种算力的部署使得终端具备了在各种环境下灵活选择传统算法或AI方法的能力。对于某一种AI功能，可能会针对不同的输入数据或场景，部署多个不同的AI模型。一般来说，终端根据具体场景下各算法性能的好坏，调度传统算法或者某一个具体地AI模型。例如，可以包括信道估计以及信道状态信息(Channel State Information，CSI)反馈。
针对信道估计，传统算法一般采用基于线性最小均方误差(Linear Minimum Mean Squared Error，LMMSE)算法或最小二乘(Least Square，LS)算法。而基于AI模型的方法是利用导频信息，输出完整的信道矩阵。通过深度学习等技术，这些AI模型能够根据输入的导频信息，准确地估计出信道的复杂特征和变化规律。
针对CSI反馈，传统算法是基于预定义的码本进行编码和解码。而基于AI的方式采用先压缩再恢复的策略。这种方法首先利用网络侧AI模型对CSI信息进行压缩，网络侧向终端传输压缩后的比特流，然后终端再通过与网络侧模型适配的终端侧模型对压缩后的信息进行恢复，以获取原始的CSI信息。
然而，利用AI算力并不适用于所有场景，AI技术的引进导致用户体验感反而是下降的。例如，终端基于性能的优劣，选择传统算法或AI模型，然而传统算法和AI算法的参数量和计算复杂度往往大不相同，那么终端执行两种操作时的能耗也是不同的，因此耗电量不同。哪怕是完成同一功能的不同AI模型，其参数和计算量也不相同，因此终端执行不同AI模型的耗电量也不同。一方面，若在终端电量不足时选择了计算量较大、能耗较高的算法，从而进一步耗尽终端电量，可能导致终端在关键时刻无法提供必要的服务或功能。另一方面，在电量充裕的情况下，选择低计算量、低能耗的算法可能导致计算资源浪费，使得系统性能未能达到最佳状态。
因此，本公开通过终端根据终端信息，确定通信处理策略，其中通信处理策略包括基于AI进行通信处理或基于非AI进行通信处理，从而避免利用AI算力不适用所有场景的问题，从而提高用户体验感。
图1是根据本公开实施例示出的通信系统架构示意图。
如图1所示，通信系统100包括终端101。
在一些实施例中，终端101例如包括手机(mobile phone)、可穿戴设备、物联网设备、具备通信功能的汽车、智能汽车、平板电脑(Pad)、带无线收发功能的电脑、虚拟现实(virtual reality，VR)终端设备、增强现实(augmented reality，AR)终端设备、工业控制(industrial control)中的无线终端设备、无人驾驶(self-driving)中的无线终端设备、远程手术(remote medical surgery)中的无线终端设备、智能电网(smart grid)中的无线终端设备、运输安全(transportation safety)中的无线终端设备、智慧城市(smart city)中的无线终端设备、智慧家庭(smart home)中的无线终端设备中的至少一者，但不限于此。
在一些实施例中，通信系统100还可以包括网络设备102，用于与终端进行通信。例如，网络设备102可以发送参考信号，用于终端在确定通信处理策略后，基于参考信号的测量结果进行通信处理。
在一些实施例中，网络设备可以包括接入网设备和核心网设备的至少一者。
在一些实施例中，接入网设备例如是将终端接入到无线网络的节点或设备，接入网设备可以包括5G通信系统中的演进节点B(evolved NodeB，eNB)、下一代演进节点B(next generation eNB，ng-eNB)、下一代节点B(next generation NodeB，gNB)、节点B(node B，NB)、家庭节点B(home node B，HNB)、家庭演进节点B(home evolved nodeB，HeNB)、无线回传设备、无线网络控制器(radio network controller，RNC)、基站控制器(base station controller，BSC)、基站收发台(base  transceiver station，BTS)、基带单元(base band unit，BBU)、移动交换中心、6G通信系统中的基站、开放型基站(Open RAN)、云基站(Cloud RAN)、其他通信系统中的基站、Wi-Fi系统中的接入节点中的至少一者，但不限于此。
在一些实施例中，本公开的技术方案可适用于Open RAN架构，此时，本公开实施例所涉及的接入网设备间或者接入网设备内的接口可变为Open RAN的内部接口，这些内部接口之间的流程和信息交互可以通过软件或者程序实现。
在一些实施例中，接入网设备可以由集中单元(central unit，CU)与分布式单元(distributed unit，DU)组成的，其中，CU也可以称为控制单元(control unit)，采用CU-DU的结构可以将接入网设备的协议层拆分开，部分协议层的功能放在CU集中控制，剩下部分或全部协议层的功能分布在DU中，由CU集中控制DU，但不限于此。
在一些实施例中，核心网设备可以是一个设备，包括一个或多个网元，也可以是多个设备或设备群，分别包括上述一个或多个网元中的全部或部分。网元可以是虚拟的，也可以是实体的。核心网例如包括演进分组核心(Evolved Packet Core，EPC)、5G核心网络(5G Core Network，5GCN)、下一代核心(Next Generation Core，NGC)中的至少一者。
可以理解的是，本公开实施例描述的通信系统是为了更加清楚的说明本公开实施例的技术方案，并不构成对于本公开实施例提出的技术方案的限定，本领域普通技术人员可知，随着系统架构的演变和新业务场景的出现，本公开实施例提出的技术方案对于类似的技术问题同样适用。
下述本公开实施例可以应用于图1所示的通信系统100、或部分主体，但不限于此。图1所示的各主体是例示，通信系统可以包括图1中的全部或部分主体，也可以包括图1以外的其他主体，各主体数量和形态为任意，各主体可以是实体的也可以是虚拟的，各主体之间的连接关系是例示，各主体之间可以不连接也可以连接，其连接可以是任意方式，可以是直接连接也可以是间接连接，可以是有线连接也可以是无线连接。
本公开各实施例可以应用于长期演进(Long Term Evolution，LTE)、LTE-Advanced(LTE-A)、LTE-Beyond(LTE-B)、SUPER 3G、IMT-Advanced、第四代移动通信系统(4th generation mobile communication system，4G)、)、第五代移动通信系统(5th generation mobile communication system，5G)、5G新空口(new radio，NR)、未来无线接入(Future Radio Access，FRA)、新无线接入技术(New-Radio Access Technology，RAT)、新无线(New Radio，NR)、新无线接入(New radio access，NX)、未来一代无线接入(Future generation radio access，FX)、Global System for Mobile communications(GSM(注册商标))、CDMA2000、超移动宽带(Ultra Mobile Broadband，UMB)、IEEE 802.11(Wi-Fi(注册商标))、IEEE 802.16(WiMAX(注册商标))、IEEE 802.20、超宽带(Ultra-WideBand，UWB)、蓝牙(Bluetooth(注册商标))、陆上公用移动通信网(Public Land Mobile Network，PLMN)网络、设备到设备(Device-to-Device，D2D)系统、机器到机器(Machine to Machine，M2M)系统、物联网(Internet of Things，IoT)系统、车联网(Vehicle-to-Everything，V2X)、利用其他通信方法的系统、基于它们而扩展的下一代系统等。此外，也可以将多个系统组合(例如，LTE或者LTE-A与5G的组合等)应用。
图2a是根据本公开实施例示出的一种通信方法流程图。如图2a所示，本公开实施例涉及通信方法，用于通信系统100，上述方法包括：
步骤S2101，终端101根据终端信息，确定通信处理策略。
在一些实施例中，终端可以根据其自身的信息，即终端信息，确定通信处理策略。其中，通信处理策略包括基于AI进行通信处理，或基于非AI进行通信处理。其中，基于AI进行通信处理例如可以包括基于AI进行信道估计、基于AI进行CSI反馈，但不限定于此。相应地，基于非AI进行通信处理包括基于非AI进行信道估计、基于非AI进行CSI反馈，但不限定于此。其中，基于非AI进行通信处理也可以理解为基于传统算法进行通信处理。
在一些实施例中，终端信息包括以下至少一项：终端的电池信息；终端的用户设置信息。其中，用户设置信息用于表示设置基于AI进行通信处理或设置基于非AI进行通信处理。即，用户可以通过设置选择通信处理策略，终端可以基于用户设置信息，确定用户所选择的通信处理策略。
在一些实施例中，电池信息包括以下至少一项：电池的剩余电量；电池的健康度；电池的充电状态。其中，电池的剩余电量表示终端在使用过程中电池的剩余电量，通常当电池的剩余电量降低到一定程度，需要对终端进行充电。电池的健康度可以表征电池的性能，随着电池的使用，其性能可能发生降低，健康度下降。电池的充电状态表示电池是否正在充电。
可选地，当终端信息包括电池信息，电池信息包括电池剩余电量，若电池剩余电量大于或等于第 一门限值，则通信处理策略为基于AI进行通信处理，且基于终端部署的AI模型中性能值最高的AI模型进行通信处理。当然，本公开不限定于此，也可以基于终端部署的AI模型中任意一个AI模型进行通信处理。示例性地，终端可以实时监测电池的剩余电量，若电池的剩余电量大于或等于第一门限值，则可以确定通信处理策略为基于AI进行通信处理，且基于终端部署的AI模型中性能值最高的AI模型进行通信处理。可以理解，当电池剩余电量大于或等于第一门限值时，终端能够承受功耗的较大消耗，而不影响终端的正常使用和其他正在进行的业务，因此，可以选择性能值最高的AI模型，从而使通信处理的性能最大化，提高通信效率，间接地提高用户体验感。
可选地，当终端信息包括电池信息，电池信息包括电池剩余电量，若电池剩余电量小于或等于第二门限值，则通信处理策略为基于AI进行通信处理，且基于终端部署的AI模型中性能值非最高的AI模型极性通信处理。示例性地，终端可以实时监测电池的剩余电量，若电池的剩余电量小于或等于第二门限值，则通信处理策略为基于AI进行通信处理，且基于终端部署的AI模型中性能值非最高的AI模型极性通信处理。其中，性能值非最高的AI模型即是除性能值最高的AI模型以外的任意一个AI模型，例如可以是性能值第二高的AI模型。可以理解，当电池剩余电量小于或等于第二门限值，终端需要尽量避免功耗的消耗，因此可以选择性能值不是最高的AI模型，在尽量提高通信处理的性能的同时，也避免过大的功耗消耗。从而能够避免为了实现性能最大化，影响终端的正常使用，影响其他正在进行的业务。其中，第二门限值可以和第一门限值相同，也可以不同。例如，当第二门限值和第一门限值相同，则终端在电池剩余电量大于这个值时，选择性能值最高的AI模型进行通信处理，在电池剩余电量小于这个值时，选择性能值非最高的AI模型进行通信处理。而当电池剩余电量等于这个值时，可以选择性能值最高的AI模型或者性能值非最高的AI模型进行通信处理。又例如，当第二门限值和第一门限值不同时，第一门限值大于第二门限值。
可选地，当终端信息包括电池信息，电池信息包括电池剩余电量，若电池剩余电量小于或等于第三门限值，则通信处理策略为基于非AI进行通信处理。示例性地，终端可以实时监测电池的剩余电量，若电池的剩余电量小于或等于第三门限值，则通信处理策略为基于非AI进行通信处理。其中，第三门限值和第二门限值可以相同也可以不同。例如，第三门限值和第二门限值可以相同，则当电池的剩余电量小于或等于这个值时，终端可以基于性能值非最高的AI模型进行通信处理，或基于非AI进行通信处理。第三门限值和第二门限值也可以同时与第一门限值相同，本公开不再赘述。又例如，第三门限值和第二门限值可以不同，第三门限值可以小于第二门限值。例如，当电池的剩余电量大于第三门限值，但小于或等于第二门限值时，可以基于AI进行通信处理，且基于终端部署的至少一个AI模型中性能值非最高的AI模型进行通信处理。当电池的剩余电量小于或等于第三门限值时，可以基于非AI进行通信处理。
可选地，当终端信息包括电池信息，电池信息包括电池的健康度。则终端可以在电池的健康度大于或等于第一阈值时，基于AI进行通信处理，且基于至少一个AI模型中性能值最高的AI模型进行通信处理。在电池的健康度小于或等于第一阈值时，基于AI进行通信处理，且基于至少一个AI模型中性能值非最高的AI模型进行通信处理。在电池的健康度小于或等于第三阈值时，基于非AI进行通信处理。终端根据电池的健康度确定通信处理策略的方案可以参考上述根据电池剩余电量确定通信处理策略的方案各实施例，本公开不在此处赘述。
可选地，当终端信息包括电池信息，电池信息包括电池的充电状态。终端可以在电池正在充电时，选择基于非AI进行通信处理，在电池不在充电时，选择基于AI进行通信处理。从而避免电池充电的效果差，造成电池的损伤等。
可选地，当终端信息包括用户设置信息，用户设置信息为优先考虑通信处理的性能。则通信处理策略为基于终端部署的至少一个AI模型中性能值排序前N的任意一个AI模型进行通信处理，所述N为大于零的正整数。即，当用户设置优先考虑通信处理的性能，为了达到更好的性能，终端可以选择性能值排序前N的AI模型中的任意一个AI模型，例如可以选择性能值最高的AI模型。
可选地，当终端信息包括用户设置信息，用户设置信息为优先考虑通信处理的功耗。则通信策略为基于终端部署的至少一个AI模型中低功耗排序前M的任意一个AI模型进行通信处理。其中，M为大于零的正整数。即，当用户设置优先考虑通信处理的功耗，终端可以选择低功耗前序前M的AI模型中的至少一个，其中低功耗排序前M的AI模型，即按照功耗由低到高对终端部署的AI模型进行排序，功耗最低的前M个AI模型即为低功耗前序前M的AI模型。或者，终端也可以选择基于非AI进行通信处理。
可选地，当终端信息包括电池信息和用户设置信息，终端可以根据电池信息和用户设置信息，确定通信处理策略。例如，当用户设置优先考虑通信处理的性能，则终端可以首先确定性能值排序前N 的AI模型。此时，若终端的电池剩余电量大于或等于第一门限值，则可以选择N个AI模型中性能值最高的AI模型进行通信处理。若终端的电池剩余电量小于或等于第二门限值，则可以选择N个AI模型中性能值非最高的AI模型进行通信处理。又例如，当用户设置优先考虑通信处理的功耗，则终端可以首先确定低功耗及排序前M的AI模型。此时，若终端的电池剩余电量大于或等于第一门限值，则可以选择M个AI模型中性能值最高的AI模型，若终端的电池剩余电量小于或等于第二门限值，则可以选择M个AI模型中性能值非最高的AI模型。若终端的电池剩余电量小于或等于第三门限值，则可以选择基于非AI进行通信处理。
在一些实施例中，终端可以根据电池信息，确定通信处理策略。并在电池的剩余电量小于或等于第四门限值时，显示操作信息。操作信息用于确定用户设置信息。即，通过显示操作信息提醒用户是否主动选择通信处理策略，若用户进行了操作，即设置了通信处理策略，则终端可以根据用户设置信息，确定通信处理策略。例如，操作信息可以为是否优先考虑通信处理的功耗。或者可以提示是否关闭AI模型，或者是否关闭基于AI的通信处理等。
步骤S2102，终端101基于通信处理策略，进行通信处理。
在一些实施例中，可以根据确定的通信处理策略，进行通信处理。
例如，针对信道估计，终端可以在电量充足的状态下，例如电池剩余电量大于或等于第一门限值的情况下，利用AI技术的神经网络模型对导频信息进行学习和处理，从而输出完整的信道矩阵。针对CSI反馈，终端可以在电量充足的状态下，例如电池剩余电量大于或等于第一门限值的情况下，选择基于AI的CSI信息压缩与恢复方法进行处理。
又例如，针对信道估计，终端可以在电量不足的状态下，例如电池剩余电量小于或等于第二门限值的情况下，采用基于LMMSE算法或LS算法进行信道估计，以降低计算量和能耗。针对CSI反馈，终端可以在电量不足的状态下，例如电池剩余电量小于或等于第二门限值的情况下，基于预定义的码本进行编码和解码的传统算法进行处理。
步骤S2103，终端101向网络设备102发送通信处理的结果。
在一些实施例中，网络设备102接收终端101发送的通信处理的结果。例如，终端可以将信道估计的信道矩阵发送给网络设备，或者将CSI信息反馈给网络设备。
在一些实施例中，终端也可以将确定的通信处理的策略上报给网络设备。例如，终端可以将通信处理的策略和通信处理的结果一起上报给网络设备。或者，终端也可以先发送通信处理的策略上报给网络设备，再将通信处理的结果上报给网络设备。
图2b是根据本公开实施例示出的一种通信方法流程图。如图2b所示，本公开实施例涉及通信方法，用于通信系统100，上述方法包括：
步骤S2201，终端101根据电池信息，确定通信处理策略。
步骤S2201的具体实现方式可以参考图2a步骤S2101的各实施例，本公开不在此处赘述。
步骤S2202，终端101响应于剩余电量小于或等于第四门限值，显示操作信息。
步骤S2202的具体实现方式可以参考图2a步骤S2101的各实施例，本公开不在此处赘述。
步骤S2203，终端101响应于用户基于操作信息，设置优先考虑通信处理的功耗，根据用户设置信息，重新确定通信处理策略。
步骤S2203的具体实现方式可以参考图2a步骤S2101的各实施例，本公开不在此处赘述。
步骤S2204，终端101响应于用户基于操作信息，未设置优先考虑通信处理的功耗，继续根据电池信息，确定通信处理策略。
步骤S2204的具体实现方式可以参考图2a步骤S2101的各实施例，本公开不在此处赘述。
步骤S2205，终端101基于通信处理策略，进行通信处理。
步骤S2205的具体实现方式可以参考图2a步骤S2102的各实施例，本公开不在此处赘述。
步骤S2206，终端101向网络设备102发送通信处理的结果。
步骤S2206的具体实现方式可以参考图2a步骤S2103的各实施例，本公开不在此处赘述。
图3a是根据本公开实施例示出的一种通信方法流程图。如图3a所示，本公开实施例涉及通信方法，用于终端101，上述方法包括：
步骤S3101，根据终端信息，确定通信处理策略。
步骤S3101的可选实现方式可以参见图2a的步骤S2101的可选实现方式，及图2a所涉及的实施例中其他关联部分，此处不再赘述。
步骤S3102，基于通信处理策略，进行通信处理。
步骤S3102的可选实现方式可以参见图2a的步骤S2102的可选实现方式，及图2a所涉及的实 施例中其他关联部分，此处不再赘述。
步骤S3103，发送通信处理的结果。
步骤S3103的可选实现方式可以参见图2a的步骤S2103的可选实现方式，及图2a所涉及的实施例中其他关联部分，此处不再赘述。
在一些实施例中，终端101向网络设备102发送通信处理的结果，但不限定于此，也可以向其他实体发送通信处理的结果。
图3b是根据本公开实施例示出的一种通信方法流程图。如图3b所示，本公开实施例涉及通信方法，用于终端101，上述方法包括：
步骤S3201，根据电池信息，确定通信处理策略。
步骤S3201的可选实现方式可以参见图2b的步骤S2201的可选实现方式，及图2b所涉及的实施例中其他关联部分，此处不再赘述。
步骤S3202，响应于剩余电量小于或等于第四门限值，显示操作信息。
步骤S3202的可选实现方式可以参见图2b的步骤S2202的可选实现方式，及图2b所涉及的实施例中其他关联部分，此处不再赘述。
步骤S3203，响应于用户基于操作信息，设置优先考虑通信处理的功耗，根据用户设置信息，重新确定通信处理策略。
步骤S3203的可选实现方式可以参见图2b的步骤S2203的可选实现方式，及图2b所涉及的实施例中其他关联部分，此处不再赘述。
步骤S3204，响应于用户基于操作信息，未设置优先考虑通信处理的功耗，继续根据电池信息，确定通信处理策略。
步骤S3204的可选实现方式可以参见图2b的步骤S2204的可选实现方式，及图2b所涉及的实施例中其他关联部分，此处不再赘述。
步骤S3205，基于通信处理策略，进行通信处理。
步骤S3205的可选实现方式可以参见图2b的步骤S2205的可选实现方式，及图2b所涉及的实施例中其他关联部分，此处不再赘述。
步骤S3206，发送通信处理的结果。
步骤S3206的可选实现方式可以参见图2b的步骤S2206的可选实现方式，及图2b所涉及的实施例中其他关联部分，此处不再赘述。
图4是根据本公开实施例示出的通信方法流程图。如图4所示，本公开实施例涉及通信方法，由网络设备102执行，上述方法包括：
步骤S4101，获取通信处理的结果。
步骤S4101的可选实现方式可以参见图2a的步骤S2103的可选实现方式，及图2a所涉及的实施例中其他关联部分，此处不再赘述。
在一些实施例中，网络设备102接收由终端101发送的第一信息，但不限于此，也可以接收由其他主体发送的第一信息。
在一些实施例中，网络设备102获取由协议规定的第一信息。
在一些实施例中，网络设备102从上层(upper layer(s))获取第一信息。
在一些实施例中，网络设备102进行处理从而得到第一信息。
在一些实施例中，步骤S4101被省略，网络设备102自主实现第一信息所指示的功能，或上述功能为缺省或默认。
示例性地，本公开实施例还提供一种通信方法，如下：
在一些实施例中，终端设备部署了传统算法模块以及若干个AI算力模块。终端实时监测和评估自身的电量状态，包括电量剩余量、充电状态和电池健康状况等。终端根据当前的电量状态，按照AI操作选择策略，动态调整选择的AI操作类型和参数配置。
在一些实施例中，响应于终端侧电量高于第一门限，终端选择通信处理性能较好但是能耗较高的操作。
在一些实施例中，响应于终端侧电量低于第二门限，第一门限并且终端侧针对相同的功能部署了多个模型，终端选择性能次优但较省电的AI模型。
在一些实施例中，响应于终端侧电量低于第三门限，终端侧关闭基于AI的操作。
在一些实施例中，进一步，终端可以根据用户的设置来进行AI操作的选择。例如用户可以预配置优先考虑传输性能，此时终端则不根据电量进行不同AI操作的切换。或者当电量低于某个门限时， 弹窗提醒用户是否选择更加省电的AI处理。
在一些实施例中，通信处理例如可以包括信道估计、CSI反馈等，但不限于此。
例如，终端根据终端信息，确定信道估计的策略。例如，终端信息包括电池信息，电池信息包括电池的剩余电量。剩余电量大于或等于第一门限值，信道估计的策略为基于AI进行信道估计；剩余电量小于或等于第三门限值，信道估计的策略为基于非AI进行信道估计。示例性地，剩余电量大于或等于第一门限值，信道估计的策略为：利用AI技术的神经网络模型对导频信息进行学习和处理，从而输出完整的信道矩阵；剩余电量小于或等于第三门限值，信道估计的策略为：采用基于最小均方误差(LMMSE)算法或最小二乘(LS)算法进行信道估计。
又例如，终端根据终端信息，确定CSI反馈的策略。例如，终端信息包括电池信息，电池信息包括电池的剩余电量。剩余电量大于或等于第一门限值，CSI反馈的策略为基于AI进行CSI反馈；剩余电量小于或等于第三门限值，CSI反馈的策略为基于非AI进行CSI反馈。示例性地，剩余电量大于或等于第一门限值，CSI反馈的策略为：选择基于AI的CSI信息压缩与恢复方法进行处理；剩余电量小于或等于第三门限值，CSI反馈的策略为：优先选择基于预定义的码本进行编码和解码的传统算法进行处理。
示例性地，以信道估计和CSI反馈任务为例。根据不同的电量状态，终端根据本发明的技术方案进行信道估计/CSI反馈任务的AI及非AI操作切换：
电量充足状态：终端根据电量充足状态，选择性能优良但能耗较高的基于AI模型的方法进行处理。
针对信道估计任务，利用AI技术的神经网络模型对导频信息进行学习和处理，从而输出完整的信道矩阵。
针对CSI反馈任务，终端在电量充足状态下，选择基于AI的CSI信息压缩与恢复方法进行处理。
电量不足状态：终端根据电量不足状态，优先选择能耗较低的AI算法或传统算法。
针对信道估计任务，采用基于最小均方误差(LMMSE)算法或最小二乘(LS)算法进行信道估计，降低了计算量和能耗。
针对CSI反馈任务，终端在电量不足状态下，优先选择基于预定义的码本进行编码和解码的传统算法进行处理。
图5a是根据本公开实施例示出的终端5100的结构示意图。如图5a所示，终端5100可以包括：处理模块5101，用于根据终端信息，确定通信处理策略，所述通信处理策略包括基于人工智能AI进行通信处理或基于非AI进行通信处理。
在一些实施例中，所述终端信息包括以下至少一项：所述终端的电池信息；所述终端的用户设置信息，所述用户设置信息用于表示设置基于AI进行通信处理或设置基于非AI进行通信处理。
在一些实施例中，所述电池信息包括以下至少一项：电池的剩余电量；电池的健康度；电池的充电状态。
在一些实施例中，所述终端信息包括终端的电池信息，所述电池信息包括电池的剩余电量，所述剩余电量大于或等于第一门限值，所述通信处理策略为基于AI进行通信处理，且基于所述终端部署的至少一个AI模型中性能值最高的AI模型进行通信处理。
在一些实施例中，所述终端信息包括终端的电池信息，所述电池信息包括电池的剩余电量，所述剩余电量小于或等于第二门限值，所述通信处理的策略为基于AI进行通信处理，且基于所述终端部署的至少一个AI模型中性能值非最高的AI模型进行通信处理。
在一些实施例中，所述终端信息包括终端的电池信息，所述电池信息包括电池的剩余电量，所述剩余电量小于或等于第三门限值，所述通信处理的策略为基于非AI进行通信处理。
在一些实施例中，所述终端信息包括所述终端的用户设置信息，所述用户设置信息为优先考虑通信处理的性能，所述通信处理的策略为基于AI进行通信处理，且基于所述终端部署的至少一个AI模型中性能值排序前N的任意一个AI模型进行通信处理，所述N为大于零的正整数。
在一些实施例中，所述终端信息包括所述终端的用户设置信息，所述用户设置信息为优先考虑通信处理的功耗，所述通信处理的策略为基于非AI进行通信处理，或基于所述终端部署的至少一个AI模型中低功耗排序前M的任意一个AI模型进行通信处理，所述M为大于零的正整数。
在一些实施例中，所述终端信息包括所述终端的电池信息和所述终端的用户设置信息，所述电池信息包括电池的剩余电量，所述处理模块5101还用于：响应于所述剩余电量小于或等于第四门限值，显示操作信息，所述操作信息用于确定用户设置信息。
在一些实施例中，终端还可以包括收发模块5102，用于执行实施例的相关步骤。
图5b是根据本公开实施例示出的网络设备5200的结构示意图。如图5b所示，网络设备5200可以包括：收发模块5201，用于接收终端发送的通信处理的结果。
在一些实施例中，网络设备5200还包括处理模块5202，用于执行本公开各实施例的相应步骤。
图6a是本公开实施例示出的一种通信设备6100的结构示意图。通信设备6100可以是网络设备，也可以是终端，也可以是支持网络设备实现以上任一方法的芯片、芯片系统、或处理器等，还可以是支持终端实现以上任一方法的芯片、芯片系统、或处理器等。可选地，网络设备可以是接入网设备、核心网设备等。可选地，终端可以是用户设备等。通信设备6100可用于实现上述方法实施例中描述的方法，具体可以参见上述方法实施例中的说明。
如图6a所示，通信设备6100包括一个或多个处理器6101。处理器6101可以是通用处理器或者专用处理器等，例如可以是基带处理器或中央处理器。基带处理器可以用于对通信协议以及通信数据进行处理，中央处理器可以用于对通信装置进行控制，执行程序，处理程序的数据。通信设备6100用于执行以上任一方法。可选地，通信装置可以是基站、基带芯片，终端设备、终端设备芯片，DU或CU等。
在一些实施例中，通信设备6100还包括用于存储指令的一个或多个存储器6102。可选地，全部或部分存储器6102也可以处于通信设备6100之外。
在一些实施例中，通信设备6100还包括一个或多个收发器6103。在通信设备6100包括一个或多个收发器6103时，收发器6103执行上述方法中的发送和/或接收等通信步骤S2101，处理器6101执行其他步骤。
在一些实施例中，收发器可以包括接收器和/或发送器，接收器和发送器可以是分离的，也可以集成在一起。可选地，收发器、收发单元、收发机、收发电路等术语可以相互替换，发送器、发送单元、发送机、发送电路等术语可以相互替换，接收器、接收单元、接收机、接收电路等术语可以相互替换。
在一些实施例中，通信设备6100可以包括一个或多个接口电路6104。可选地，接口电路6104与存储器6102连接，接口电路6104可用于从存储器6102或其他装置接收信号，可用于向存储器6102或其他装置发送信号。例如，接口电路6104可读取存储器6102中存储的指令，并将该指令发送给处理器6101。
以上实施例描述中的通信设备6100可以是网络设备或者终端，但本公开中描述的通信设备6100的范围并不限于此，通信设备6100的结构可以不受图6a的限制。通信设备可以是独立的设备或者可以是较大设备的一部分。例如所述通信设备可以是：1)独立的集成电路IC，或芯片，或，芯片系统或子系统；(2)具有一个或多个IC的集合，可选地，上述IC集合也可以包括用于存储数据，程序的存储部件；(3)ASIC，例如调制解调器(Modem)；(4)可嵌入在其他设备内的模块；(5)接收机、终端设备、智能终端设备、蜂窝电话、无线设备、手持机、移动单元、车载设备、网络设备、云设备、人工智能设备等等；(6)其他等等。
图6b是本公开实施例提出的芯片6200结构示意图。对于通信设备6100可以是芯片或芯片系统的情况，可以参见图6b所示的芯片6200的结构示意图，但不限于此。
芯片6200包括一个或多个处理器6201，芯片6200用于执行以上任一方法。
在一些实施例中，芯片6200还包括一个或多个接口电路6202。可选地，接口电路6202与存储器6203连接，接口电路6202可以用于从存储器6203或其他装置接收信号，接口电路6202可用于向存储器6203或其他装置发送信号。例如，接口电路6202可读取存储器6203中存储的指令，并将该指令发送给处理器6201。
在一些实施例中，接口电路6202执行上述方法中的发送和/或接收等通信步骤S2101，处理器6201执行其他步骤。
在一些实施例中，接口电路、接口、收发管脚、收发器等术语可以相互替换。
在一些实施例中，芯片6200还包括用于存储指令的一个或多个存储器6203。可选地，全部或部分存储器6203可以处于芯片6200之外。
本公开还提出存储介质，上述存储介质上存储有指令，当上述指令在通信设备6100上运行时，使得通信设备6100执行以上任一方法。可选地，上述存储介质是电子存储介质。可选地，上述存储介质是计算机可读存储介质，但不限于此，其也可以是其他装置可读的存储介质。可选地，上述存储介质可以是非暂时性(non-transitory)存储介质，但不限于此，其也可以是暂时性存储介质。
本公开还提出程序产品，上述程序产品被通信设备6100执行时，使得通信设备6100执行以上 任一方法。可选地，上述程序产品是计算机程序产品。
本公开还提出计算机程序，当其在计算机上运行时，使得计算机执行以上任一方法。

Claims (13)

  1. 一种通信方法，其特征在于，所述方法包括：
    终端根据终端信息，确定通信处理策略，所述通信处理策略包括基于人工智能AI进行通信处理或基于非AI进行通信处理。
  2. 根据权利要求1所述的方法，其特征在于，所述终端信息包括以下至少一项：
    所述终端的电池信息；
    所述终端的用户设置信息，所述用户设置信息用于表示设置基于AI进行通信处理或设置基于非AI进行通信处理。
  3. 根据权利要求2所述的方法，其特征在于，所述电池信息包括以下至少一项：
    电池的剩余电量；
    电池的健康度；
    电池的充电状态。
  4. 根据权利要求3所述的方法，其特征在于，所述终端信息包括终端的电池信息，所述电池信息包括电池的剩余电量，所述剩余电量大于或等于第一门限值，所述通信处理策略为基于AI进行通信处理，且基于所述终端部署的至少一个AI模型中性能值最高的AI模型进行通信处理。
  5. 根据权利要求3所述的方法，其特征在于，所述终端信息包括终端的电池信息，所述电池信息包括电池的剩余电量，所述剩余电量小于或等于第二门限值，所述通信处理的策略为基于AI进行通信处理，且基于所述终端部署的至少一个AI模型中性能值非最高的AI模型进行通信处理。
  6. 根据权利要求3所述的方法，其特征在于，所述终端信息包括终端的电池信息，所述电池信息包括电池的剩余电量，所述剩余电量小于或等于第三门限值，所述通信处理的策略为基于非AI进行通信处理。
  7. 根据权利要求2所述的方法，其特征在于，所述终端信息包括所述终端的用户设置信息，所述用户设置信息为优先考虑通信处理的性能，所述通信处理的策略为基于AI进行通信处理，且基于所述终端部署的至少一个AI模型中性能值排序前N的任意一个AI模型进行通信处理，所述N为大于零的正整数。
  8. 根据权利要求2所述的方法，其特征在于，所述终端信息包括所述终端的用户设置信息，所述用户设置信息为优先考虑通信处理的功耗，所述通信处理的策略为基于非AI进行通信处理，或基于所述终端部署的至少一个AI模型中低功耗排序前M的任意一个AI模型进行通信处理，所述M为大于零的正整数。
  9. 根据权利要求3所述的方法，其特征在于，所述终端信息包括所述终端的电池信息和所述终端的用户设置信息，所述电池信息包括电池的剩余电量，所述方法还包括：
    响应于所述剩余电量小于或等于第四门限值，显示操作信息，所述操作信息用于确定用户设置信息。
  10. 一种终端，其特征在于，包括：
    处理模块，用于根据终端信息，确定通信处理策略，所述通信处理策略包括基于人工智能AI进行通信处理或基于非AI进行通信处理。
  11. 一种终端，其特征在于，包括：
    一个或多个处理器；
    其中，所述处理器用于执行权利要求1-9中任一项所述的通信方法。
  12. 一种存储介质，其特征在于，包括：
    所述存储介质存储有指令，当所述指令在通信设备上运行时，使得所述通信设备执行如权利要求1-9中任一项所述的通信方法。
  13. 一种程序产品，其特征在于，包括：
    计算机程序，所述计算机程序被通信设备执行时，使得所述通信设备执行如权利要求1-9中任一项所述的通信方法。
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