Intelligent multi-domain efficient collaborative information processing method, apparatus, and storage medium

Abstract

Embodiments of the present disclosure provide an intelligent multi-domain efficient collaborative information processing method, an apparatus, and a storage medium. The method comprises: acquiring N data packets generated by an application domain; on the basis of the N data packets, determining M feature sets corresponding to the N data packets, each feature set comprising at least one of the following features: a spectrum efficiency requirement, a transmission delay requirement, a reliability requirement, a capacity requirement, an energy efficiency requirement, and a quality of service requirement; in a control domain, on the basis of the M feature sets corresponding to the N data packets, determining M pieces of configuration information for the N data packets, each piece of configuration information comprising signal domain configuration information and resource domain configuration information; and, processing the N data packets on the basis of the M pieces of configuration information for the N data packets and intelligent technologies, N and M being positive integers.

Description

Intelligent multi-domain efficient collaboration information processing method and device, and storage medium

[0001] The present disclosure claims priority to Chinese Patent Application No. 202411119890.8, filed on August 13, 2024, the entire contents of which are incorporated herein by reference. TECHNICAL FIELD

[0002] The present disclosure relates to the field of communication technology, and in particular to an intelligent multi-domain efficient collaboration information processing method, device and storage medium. BACKGROUND

[0003] The evolution of wireless communication systems is an ongoing process, from early analog communication to digital communication, and then to today's multi-network integration and collaboration, each stage marks a major leap in technology and demand. With the development of emerging technologies such as the Internet of Things, big data, artificial intelligence and edge computing, wireless communication systems are undergoing a profound transformation, the core of which is to realize the collaborative work between different networks to meet the growing demand for data transmission and diverse application scenarios.

[0004] Here, multi-network integration refers to the seamless integration of multiple heterogeneous networks such as cellular networks (2G, 3G, 4G, 5G and even prospective 6G wireless communication networks), wireless fidelity (Wi-Fi), satellite communication, unmanned aerial vehicle networks, etc., forming a unified communication platform. These networks integrate, assist and influence each other, promoting the mobile communication field into an unprecedented profound transformation. This transformation is reflected in multiple domains such as application domain, signal domain, control domain and resource domain. SUMMARY

[0005] In one aspect, the present disclosure provides an intelligent multi-domain efficient collaboration information processing method, which is applied to a wireless communication system, the method comprising:

[0006] obtaining N data packets generated by an application domain;

[0007] determining M feature sets corresponding to the N data packets according to the N data packets, each feature set including at least one of the following features: spectral efficiency requirement, transmission delay requirement, reliability requirement, capacity requirement, energy efficiency requirement, and quality of service requirement;

[0008] determining M configuration information of the N data packets in a control domain according to the M feature sets corresponding to the N data packets, each configuration information including signal domain configuration information and resource domain configuration information;

[0009] processing the N data packets according to the M configuration information of the N data packets and intelligent technology, N and M being positive integers.

[0010] In another aspect, the embodiments of the present disclosure provide an intelligent multi-domain efficient cooperation information processing device, which is applied to a wireless communication system, and the device comprises:

[0011] an acquisition module, configured to acquire N data packets generated by an application domain;

[0012] a first determination module, configured to determine M feature sets corresponding to the N data packets according to the N data packets, wherein each feature set comprises at least one of the following features: spectral efficiency requirement, transmission delay requirement, reliability requirement, capacity requirement, energy efficiency requirement, and quality of service requirement;

[0013] a second determination module, configured to determine M configuration information of the N data packets according to the M feature sets corresponding to the N data packets in a control domain, wherein each configuration information comprises signal domain configuration information and resource domain configuration information;

[0014] a processing module, configured to process the N data packets according to the M configuration information of the N data packets and intelligent technology, wherein N and M are positive integers.

[0015] In yet another aspect, the embodiments of the present disclosure provide a communication device, which comprises a memory and a processor; the memory and the processor are coupled; the memory is configured to store computer program instructions executable by the processor; and the processor implements the intelligent multi-domain efficient cooperation information processing method of any of the above embodiments when executing the computer program instructions.

[0016] In yet another aspect, the embodiments of the present disclosure provide a computer readable storage medium, which stores computer program instructions, and the computer program instructions implement the intelligent multi-domain efficient cooperation information processing method of any of the above embodiments when running on a computer (for example, the communication device or the intelligent multi-domain efficient cooperation information processing device).

[0017] In yet another aspect, the embodiments of the present disclosure provide a computer program product, which comprises computer program instructions, and the computer program instructions implement the intelligent multi-domain efficient cooperation information processing method of any of the above embodiments when executed. BRIEF DESCRIPTION OF DRAWINGS

[0018] FIG. 1 is a structural schematic diagram of a communication system according to an embodiment of the present disclosure.

[0019] FIG. 2 is a structural schematic diagram of another communication system according to an embodiment of the present disclosure.

[0020] FIG. 3 is a flowchart of an intelligent multi-domain efficient cooperation information processing method according to an embodiment of the present disclosure.

[0021] FIG. 4 is a structural schematic diagram of an information processing device for intelligent multi-domain efficient cooperation according to an embodiment of the present disclosure.

[0022] FIG. 5 is a structural schematic diagram of a communication device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, rather than all the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present disclosure.

[0024] It should be understood that the specific implementations described herein merely serve to explain the present disclosure and are not intended to limit the present disclosure.

[0025] In the subsequent description, the suffixes such as "module", "part", or "unit" used to represent elements are only for the convenience of the description of the present disclosure, and have no specific meaning in itself, and thus "module", "part", or "unit" can be used interchangeably.

[0026] In the description of the present disclosure, unless otherwise specified, " / " means "or". For example, A / B can mean A or B. "And / or" in this document is only a description of the association relationship of the associated objects, which means that there can be three kinds of relationships. For example, A and / or B can mean: only A, A and B, and only B. In addition, "at least one" means one or more, and "multiple" means two or more. "First", "second", and the like do not limit the quantity and execution order, and "first", "second", and the like do not necessarily mean different.

[0027] Unless the context clearly requires otherwise, throughout the description and the claims, the words "comprise", "comprising", and the like are to be construed in an open, inclusive sense as "including, but not limited to." As used throughout the description and the claims, the term "one embodiment," "some embodiments," "an exemplary embodiment," "example," "specific example," or "some examples" means that a particular feature, structure, material, or characteristic is included in at least one embodiment or example of the disclosure, but not necessarily all embodiments or examples. The appearance of the phrases "in one embodiment" or "in some embodiments" in various places in the specification are not necessarily all referring to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0028] The terms "first", "second", etc. are used only to describe the purpose and are not to be construed as indicating or implying relative importance or a specific number of the technical features indicated. Thus, the features defined with "first", "second" can explicitly or implicitly include one or more of the features. In the description of the disclosure, the meaning of "a plurality of" is two or more, unless otherwise specified.

[0029] In the embodiments of the disclosure, the expressions such as "exemplarily" or "for example" are used to represent as an example, illustration or description. Any embodiment or design scheme described as "exemplarily" or "for example" in the embodiments of the disclosure should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the expressions such as "exemplarily" or "for example" are intended to present the relevant concept in a detailed manner.

[0030] In addition, the use of "based on" means open and inclusive, because the process, step, calculation or other action "based on" one or more stated conditions or values can be based on additional conditions or beyond the stated values in practice.

[0031] Wireless communication technology has experienced decades of rapid development and has successfully crossed into the glorious stage of the fifth generation mobile communication technology (5G). Looking back, the first generation mobile communication technology (1G) mobile communication system laid the foundation, mainly focusing on solving basic voice communication needs. Subsequently, the second generation mobile communication technology (2G) system took an important step on this basis, not only consolidating the quality of voice calls, but also introducing SMS services and low-speed data services, and initially realizing the diversification of communication. With the surge of the mobile Internet wave, the third generation mobile communication technology (3G) mobile communication system emerged, which greatly improved the data transmission capacity, making simple picture transmission and low-definition video streaming possible, bringing users a more colorful online experience. Then, the fourth generation mobile communication technology (4G) mobile communication system made a qualitative leap, not only supporting smooth playback of high-definition video, instant enjoyment of streaming services, and smooth experience of mobile games, but also initially strengthening the connection capability of the Internet of Things, paving the way for the era of Internet of Everything. Today, the 5G mobile communication system is leading a new technological revolution, known for its ultra-high-speed download and ultra-low latency, capable of supporting seamless connection of large-scale Internet of Things devices and opening a new chapter of intelligent interconnection. Looking to the future, mobile communication technology will continue to evolve, and is expected to support unprecedented high-speed data transmission and larger-scale Internet of Things ecosystem construction. At the same time, the integration of artificial intelligence, large models and other cutting-edge algorithms will bring more intelligent, efficient and flexible application scenarios to the field of wireless communication, and will promote society to enter a new era of digitalization and intelligentization.

[0032] In the vast territory of current wireless communication, a new ecosystem centered on 2G, 3G, 4G, 5G and even forward-looking 6G networks, deeply integrated with sensing algorithms, satellite communication and unmanned aerial technology is thriving, building a complex and vibrant network system, realizing seamless interconnection across domains and media. This new normal not only promotes profound changes in the field of mobile communication, but also leads an unprecedented technological revolution and integration. And with the research of technology, wireless communication systems have been expanded in multiple domains.

[0033] First, in terms of application domain, it is evident that the application domain has been widely expanded. From the diverse scenarios of daily entertainment (such as game immersion, instant messaging, high-definition video call, seamless payment), to the exploration of cutting-edge technology applications (such as immersive experience of virtual reality (VR)), and even the stringent demand for ultra-reliable low latency communication (URLLC) in the era of Industry 4.0, all of which are included in the broad service category of application domain, greatly broadening the application boundary of network communication.

[0034] In terms of signal domain, wireless communication has also made significant strides. The introduction of multi-base station multi-user cooperation, distributed large-scale multiple-input-multiple-output (MIMO) technology, and the deep integration of artificial intelligence and wireless communication systems have collectively driven a leap in spectral efficiency, transmission reliability, and overall system performance, laying a solid technical foundation for the future development of wireless communication.

[0035] The transformation of the control domain is also noteworthy. In the face of complex interference challenges brought about by multi-network convergence, intelligent interference control technology, efficient network switching strategies, and high-frequency intelligent beam management have emerged, providing strong support for the stable operation and performance optimization of wireless communication systems.

[0036] In terms of resource domain, with the rapid development of software and hardware technologies, especially the significant improvement in computing power and storage resources, wireless communication systems have been introduced to higher-level algorithm support (such as the widespread application of artificial intelligence algorithms), providing abundant resource reserves for larger bandwidth, larger antenna arrays, and collaborative algorithms between communication nodes, further driving a leap in system performance.

[0037] However, current wireless communication systems or algorithms are often limited to single optimization, lacking coordination between multiple domains, making it difficult to fully exploit the comprehensive performance of communication systems.

[0038] Therefore, how to focus on researching and building a highly intelligent, flexible, and configurable multi-domain collaborative management system is a problem or topic worth studying. This system will rely on advanced signal processing technology, intelligent prediction and decision algorithms, and resource dynamic optimization strategies to comprehensively optimize key performance indicators such as quality of service (QoS), spectral efficiency, latency, energy efficiency, and network capacity of 5G and future 5G-A / 6G networks, to cope with the increasingly complex and variable network communication demands, and to promote the development of network communication technology to a higher level.

[0039] In view of this, the embodiment of the present disclosure provides an intelligent multi-domain efficient cooperation information processing method, which comprises: obtaining N data packets generated by an application domain; determining M feature sets corresponding to the N data packets according to the N data packets, each feature set comprising at least one of the following features: spectral efficiency requirement, transmission delay requirement, reliability requirement, capacity requirement, energy efficiency requirement, and quality of service requirement; determining M configuration information of the N data packets in a control domain according to the M feature sets corresponding to the N data packets, each configuration information comprising signal domain configuration information and resource domain configuration information. Processing the N data packets according to the M configuration information of the N data packets and intelligent technology. Thus, intelligent multi-domain (application domain, control domain, signal domain, and resource domain) efficient cooperation management is realized, and each data packet can obtain an optimal or near-optimal processing path and resource allocation, thereby improving the comprehensive performance of a mobile communication network.

[0040] The technical solution provided by the embodiment of the present disclosure can be applied to various mobile communication networks, such as 3G, 4G, and new radio (NR) mobile communication networks using 5G, future mobile communication networks (such as 6th-generation mobile communication technology (6G)), or various communication fusion systems, and the like, which are not limited by the embodiment of the present disclosure.

[0041] The mobile communication network in the embodiment of the present disclosure can include a network side device (such as, but not limited to, a base station) and a receiving side device (such as, but not limited to, a terminal). It should be understood that in the present example, such as in the downlink, the first communication node (also referred to as the first communication node device, the first node) can be a base station side device, and the second communication node (also referred to as the second communication node device, the second node) can be a terminal side device. In some examples, such as in the uplink, the first communication node can also be a terminal side device, and the second communication node can also be a base station side device. In some examples, such as in device-to-device communication between two communication nodes, the first communication node and the second communication node can both be base stations or terminals. Therefore, whether the first node and the second node are base stations or terminals needs to be determined according to the context. In some examples, the communication node can be the first node or the second node. In some embodiments or examples, the communication node can also be referred to as a node, which can be the first node or the second node.

[0042] FIG. 1 shows a structure schematic diagram of a communication system according to an embodiment of the present disclosure. As shown in FIG. 1, the communication system comprises but is not limited to a first node 110 and a second node 120. The first node 110 and the second node 120 can perform wireless signal transmission, reception, and related interaction.

[0043] In a wireless communication scenario, the first node 110 and the second node 120 communicate through a wireless channel. For example, the first node 110 is a base station, and the second node 120 is a terminal. The base station and the terminal communicate through the wireless channel. For another example, the first node 110 is a wireless router, and the second node 120 is a terminal. The wireless router and the terminal communicate through the wireless channel. For another example, the first node 110 is a first base station, and the second node 120 is a second base station. The first base station and the second base station communicate through the wireless channel. For another example, the first node 110 is a first terminal, and the second node 120 is a second terminal. The first terminal and the second terminal communicate through the wireless channel. For another example, the first node 110 is a base station, and the second node 120 is a repeater. The base station and the repeater communicate through the wireless channel. For another example, the first node 110 is a repeater, and the second node 120 is a terminal. The repeater and the terminal communicate through the wireless channel. For another example, the first node 110 is a first repeater, and the second node 120 is a second repeater. The first repeater and the second repeater communicate through the wireless channel. For another example, the first node 110 is a base station, and the second node 120 is a satellite. The satellite and the base station communicate through the wireless channel. For another example, the first node 110 is a satellite, and the second node 120 is a base station. The base station and the satellite communicate through the wireless channel. For another example, the first node 110 is a terminal, and the second node 120 is a satellite. The satellite and the terminal communicate through the wireless channel. For another example, the first node 110 is a satellite, and the second node 120 is a terminal. The terminal and the satellite communicate through the wireless channel. For another example, the first node 110 is a ground device, and the second node 120 is an aircraft. The aircraft and the ground device communicate through the wireless channel. For another example, the first node 110 is a first aircraft, and the second node 120 is a second aircraft. The first aircraft and the second aircraft communicate through the wireless channel.

[0044] In the embodiments of the present disclosure, the "first" node, the "second" node, the "first" manner, the "second" manner, the "first" method, the "second" method, the "first" matrix, the "second" matrix, the "first" part, and the "second" part are used only for description, and do not represent the order or sequence unless otherwise specified.

[0045] In the embodiments of the present disclosure, the base station can be a base station or an evolved base station (eNB or eNodeB) in long term evolution (LTE) or long term evolution advanced (LTEA), a base station device in a 5G network, or a base station in a future communication system (such as 6G, etc.), and the like. The base station can include various macro base stations, micro base stations, home base stations (Femtocell or Home eNodeB), wireless remote, reconfigurable intelligent surface (RIS), router, wireless fidelity (WIFI) device, or primary cell and secondary cell, and various network side devices.

[0046] In the embodiments of the present disclosure, the terminal is a device with wireless transceiver function, which can be deployed on land, including indoor or outdoor; can also be deployed on water surface (such as ship, etc.); can also be deployed in the air (such as airplane, balloon and satellite, etc.). The terminal can be a mobile phone, a tablet computer (Pad), a computer with wireless transceiver function, a virtual reality (VR) terminal, an augmented reality (AR) terminal, a wireless terminal in industrial control, a wireless terminal in self driving, a wireless terminal in remote medical, a wireless terminal in smart grid, a wireless terminal in transportation safety, a wireless terminal in smart city, a wireless terminal in smart home, etc. The embodiments of the present disclosure do not limit the application scenarios. The terminal can also be called user, user equipment (UE), access terminal, UE unit, UE station, mobile station, mobile station, remote station, remote terminal, mobile device, UE terminal, wireless communication device, UE agent or UE device, etc. The embodiments of the present disclosure do not limit this.

[0047] In the embodiments of the present disclosure, the high layer signaling includes, but is not limited to, radio resource control (RRC), media access control control element (MAC CE), and other signaling except physical layer signaling, such as LPP (LTE positioning protocol) high layer signaling, NRPPa (NR positioning protocol A) high layer signaling, and LPPa (LTE positioning Protocol A) high layer signaling. The base station and the terminal can also transmit physical layer signaling, such as downlink physical layer signaling transmitted on a physical downlink control channel (PDCCH) or uplink physical layer signaling transmitted on a physical uplink control channel (PUCCH).

[0048] In the embodiments of the present disclosure, the indicator of various resources can also be referred to as an index or an identifier (ID), which are completely equivalent concepts. For example, the resources of a wireless system include, but are not limited to, one of the following: a reference signal resource, a reference signal resource group, a reference signal resource configuration, a channel state information (CSI) report, a CSI report set, a terminal, a base station, a panel, a neural network model, a sub-neural network model, a neural network layer, a precoding matrix, a beam, a transmission mode, a sending mode, a receiving mode, a module, a model, a functional module, a function, and the like. The base station can send the identifier of one or a group of resources to the terminal through various high layer signaling and / or physical layer signaling. The terminal can send the identifier of one or a group of resources to the base station through various high layer signaling and / or physical layer signaling.

[0049] In some embodiments, the indicator or index can be an integer from 0 to D-1, or an integer from 1 to D. D is the number of resources corresponding to the indicator or index, and D is an integer greater than or equal to 1. In the subsequent part, the starting point of the indicator is 1 as the minimum value, but it can be replaced by the case where 0 is the minimum value.

[0050] In some embodiments, if an indicator or index i-K is sought, the minimum value 1 is taken when i-K is less than 1. If an indicator or index i+K is sought, the maximum value D is taken when i+K is greater than D. The following will not be described one by one. Here, K is a non-negative integer.

[0051] In some embodiments, transmitting includes sending or receiving. For example, sending data or a signal, receiving data or a signal.

[0052] In some embodiments, a communication node transmits a reference signal (RS) for computing channel state information or performing channel estimation, including but not limited to channel-state information reference signal (CSI-RS), channel-state information-interference measurement (CSI-IM), sounding reference signal (SRS), synchronization signals block (SSB), physical broadcast channel (PBCH), SSB / PBCH, demodulation reference signal (DMRS). Non-zero power (NZP) CSI-RS can be used to measure channel or interference, CSI-RS can also be used for tracking (in this case called CSI-RS for Tracking (TRS)), while CSI-IM is generally used to measure interference, SRS is used to measure uplink channel. In addition, a set of resource elements (REs) used for transmitting a reference signal is called a reference signal resource, such as CSI-RS resource, SRS resource, CSI-IM resource, SSB resource. In this document, SSB includes synchronization signals block and / or physical broadcast channel.

[0053] In some embodiments, a time instance represents a time period, which can be a time slot, for example, which can be a time slot slot or a mini slot, or a symbol group. A time slot or a mini slot includes at least one symbol. A symbol refers to a time unit in a subframe or a frame or a time slot, which can be in milliseconds, microseconds, nanoseconds, seconds, etc. For example, a symbol can be an orthogonal frequency division multiplexing (OFDM) symbol, a single-carrier frequency division multiple access (SC-FDMA) symbol, an orthogonal frequency division multiple access (OFDMA) symbol, or a symbol corresponding to various waveforms in future communication systems, etc. In some embodiments, the time slot concept used can also be replaced by a time instance.

[0054] In some embodiments, the smallest transmission unit carrying a modulation symbol is a resource element (RE), which includes a time-frequency resource on one symbol and one frequency domain subcarrier. A time-frequency resource composed of multiple symbols and multiple subcarriers constitutes a physical resource block (PRB). At least one RE is included in a reference signal pattern, and the reference signal is transmitted only on the fixed REs preconfigured by the base station, referred to as a pattern, such as a DMRS pattern.

[0055] In some embodiments, the information processing manner can be a traditional information processing manner or various advanced information processing manners, including but not limited to an information processing manner based on artificial intelligence (AI).

[0056] In some embodiments, artificial intelligence (AI) includes machine learning (ML), deep learning, reinforcement learning, transfer learning, deep reinforcement learning, meta learning, etc. devices, components, software, modules, models, functional modules, functional functions, etc. with self-learning. In some embodiments, artificial intelligence is implemented through an artificial intelligence network (also known as a neural network).

[0057] In some embodiments, the antenna is a physical antenna. In some examples, the antenna is a logical antenna. In some examples, the port and the antenna, the antenna port, the reference signal port, the pilot port are interchangeable concepts. In some examples, the antenna is a transmit antenna. In some examples, the antenna is a receive antenna. In some examples, the antenna includes an antenna pair of a transmit antenna and a receive antenna. In some examples, the antenna can be a uniform linear array. In some examples, the antenna is a uniform planar array, such as including Ng rows of Mg columns of elements / antennas, Ng, Mg being positive integers.

[0058] In some embodiments, the modulation manner includes but is not limited to one of the following: modulation order, modulation and coding scheme (MCS), modulation scheme, etc. (such as quadrature amplitude modulation (QAM), 16QAM, 64QAM, 256QAM, quadrature phase shift keying (QPSK), etc.). The first modulation scheme is greater than the second modulation scheme means that the modulation order of the first modulation scheme is greater than the modulation order of the second modulation scheme, or the number of constellation points of the constellation diagram of the first modulation scheme is greater than the number of constellation points of the constellation diagram of the second modulation scheme, or the first modulation scheme is greater than the second modulation scheme means that the first modulation and coding scheme is greater than the second modulation and coding scheme.

[0059] It should be understood that FIG. 1 is an exemplary structure diagram, and the number of devices included in the communication system shown in FIG. 1 is not limited, for example, the number of first nodes and the number of second nodes is not limited. In addition, the communication system shown in FIG. 1 can include other devices in addition to the devices shown in FIG. 1, which is not limited.

[0060] In some examples, in a wireless communication system, one or more first nodes (such as base stations) and one or more second nodes (such as terminals) are included. Each first node includes a plurality of antennas, and each second node can include one or more antennas. The first node transmits a reference signal, and the second node receives the reference signal and measures the reference signal to obtain channel information H. The channel information H can be one of the following: time domain channel information, frequency domain channel information.

[0061] In some embodiments, the transmission resource includes, but is not limited to, at least one or more of the following resources: time domain resource, frequency domain resource, code domain resource, space domain resource. In one example, the transmission resource can be used for transmitting data. In one example, the transmission resource is used for transmitting a reference signal. In one example, the transmission resource is used for multiplexing transmission of a reference signal and data. Multiplexing here includes at least one of the following: spatial multiplexing, time domain multiplexing, frequency domain multiplexing, code domain multiplexing. In one example, the transmission resource includes one or more resource elements (REs), each of which can transmit one modulation symbol and includes one subcarrier and one symbol of time-frequency resource. In one example, the transmission resource includes one or more physical resource blocks.

[0062] In some embodiments, the resource domain configuration information (may also be referred to as resource domain information or resource domain configuration, etc.) can include transmission resource configuration information, computing resource configuration information, storage resource configuration information, a first node set, a second node set, etc.

[0063] In some embodiments, the transmission resource configuration information includes, but is not limited to, at least one of the following resources or combinations of resources for configuring the occupation of the transmission resource: time domain resource, frequency domain resource, code domain resource, space domain resource. In some embodiments, the transmission resource configuration information includes, but is not limited to, at least one of the following: time domain resource configuration information corresponding to the transmission resource, frequency domain resource configuration information corresponding to the transmission resource, space domain resource configuration information corresponding to the transmission resource, code domain resource configuration information corresponding to the transmission resource. In other embodiments, the transmission resource configuration information is also referred to as transmission resource description information. The configuration information here can also be replaced by description information.

[0064] In one example, the time domain resource configuration information corresponding to the transmission resource includes, but is not limited to, at least one of the following corresponding to the transmission resource: number of time domain symbols, starting index of time domain symbols, ending index of time domain symbols, start and length indicator value (SLIV) of time domain symbols. The time domain symbol here can also be referred to as a symbol.

[0065] In one example, the frequency domain resource configuration information corresponding to the transmission resource includes, but is not limited to, at least one of the following corresponding to the transmission resource: number of subcarriers, starting index of subcarriers, ending index of subcarriers, start and length indicator value (SLIV) of subcarriers. In other examples, the subcarrier here can be replaced by one of the following: physical resource block, physical resource block group, subband, bandwidth part (BWP).

[0066] In one example, the space domain resource configuration information corresponding to the transmission resource includes, but is not limited to, at least one of the following corresponding to the transmission resource: a reference signal port index, a reference signal port group index, a reference signal port type, a reference signal sequence, a number of ports of the reference signal, a number of first communication nodes used for transmission, a number of second nodes used for transmission. In other examples, the reference signal port here can be replaced by one of the following: a port, a DMRS port, a CSI-RS port, a transmitting antenna, a receiving antenna, a transmitting beam, a receiving beam, a transmission layer.

[0067] In one example, the code domain resource configuration information corresponding to the transmission resource includes, but is not limited to, at least one of the following corresponding to the transmission resource: an orthogonal cover code (OCC), a code division multiplexing (CDM), an OCC length, an OCC sequence, an OCC index / indication.

[0068] In one example, at least one of the following can be jointly indicated by one or more high-layer and / or physical-layer signaling: time domain resource configuration information corresponding to the transmission resource, frequency domain resource configuration information corresponding to the transmission resource, space domain resource configuration information corresponding to the transmission resource, code domain resource configuration information corresponding to the transmission resource.

[0069] In some embodiments, the wireless communication system includes one or more wireless communication networks such as 2G, 3G, 4G, 5G, 4G-A, 5G-A, etc., and in the future, 6G, etc. These coexisting one or more wireless communication systems cooperate, complement, and influence each other, including but not limited to more or less mutual interference of spectrum, mutual restriction of energy consumption, etc.

[0070] In some embodiments, the wireless communication system includes a plurality of base stations of the same type or different types, and also includes one or more terminals of the same type or different types. The wireless communication system also includes at least one of the following: one or more core networks, one or more storage devices, one or more central controllers, one or more third-party servers for storing data or models, etc., one or more computing power servers, and one or more computing power units.

[0071] In one example, the computing power unit includes, but is not limited to, at least one of the following: a central processing unit (CPU), a graphics processing unit (GPU), and a tensor processing unit (TPU).

[0072] In some embodiments, the communication system includes one or more domains, including but not limited to at least one of the following: an application domain, a control domain, a signal domain, a resource domain.

[0073] In some examples, the application domain includes one or more application domain services, each including but not limited to at least one of the following: a game service, a voice service, a long video service, a short video service, a picture service, a payment service, a positioning service, a chat service, a web page service, a high-definition video, virtual reality, augmented reality, mixed reality, and a perception service.

[0074] In some examples, the service requirements of the application domain can be predicted, so that scheduling and resource allocation can be performed in advance.

[0075] In some examples, the control domain can configure the quality of service (QoS) of resource allocation, physical layer, etc. according to different service requirements. For example, through technologies such as dense networking, handover technology, reconfigurable intelligent surface (RIS), distributed multiple-input multiple-output technology (D-MIMO), centralized multiple-input multiple-output technology, multi-transmission node joint transmission (JT), multi-node joint reception (such as virtual MIMO, multiple terminal joint reception, etc.), high-frequency beamforming, etc. Network interference management, load balancing, QOS guarantee, etc. during information transmission.

[0076] In some examples, the signal domain is a physical layer signal processing technology, including but not limited to related algorithms in the time domain, frequency domain, antenna domain, code domain resources, such as multi-user MIMO algorithm, CSI feedback algorithm, SRS overhead compression algorithm, coding scheme determination, etc. In one example, the multi-user MIMO algorithm can include but not limited to AI-based user pairing, precoding scheme selection, zero-forcing (ZF), block diagonalization (BD), dirty paper coding (DPC), tomlinson-harashima precoding (THP), etc. In one example, the CSI feedback algorithm includes but not limited to joint source channel coding, multiple basis vector feedback, and AI-based CSI compression algorithm.

[0077] In some examples, the resource domain includes but not limited to at least one of the following: transmission resources, computing resources, storage resources, etc. Transmission resources include time domain resources, frequency domain resources, antenna domain or space domain resources, code domain resources, etc.

[0078] In one example, the multi-antenna technology includes but is not limited to one of the following: reconfigurable intelligent surface technology, distributed multiple-input multiple-output technology, centralized multiple-input multiple-output technology, multi-transmission node joint transmission, multi-node joint reception, high frequency beamforming. Multi-node joint reception can include but is not limited to one of the following: virtual MIMO, multi-terminal joint reception, multi-base station joint reception. Multi-node joint transmission includes but is not limited to non-coherent joint transmission (NC-JT) and coherent joint transmission (C-JT).

[0079] Exemplarily, FIG. 2 provides a structural schematic diagram of a communication system, which includes an application domain, a control domain, and a signal domain.

[0080] In some embodiments, there may be some contradictions between different domains. Intelligent technology needs to be applied to the communication system to improve the performance of the system, such as through digital twin technology, to cooperatively manage each domain and improve the overall performance of the wireless communication network. In one example, the wireless communication system is only optimized in a specific domain, so that only a local optimal solution can be obtained, and the flexibility and scalability are lacking, and usually one domain is optimized at the expense of the performance of another domain. In one example, through intelligent technology, multiple domains are managed in coordination, and usually through a global perspective, the overall performance can be optimized, so that intelligent and balanced use of resources can be achieved, and costs can be reduced. The flexibility of the wireless communication system is also achieved, and the stability and reliability are improved. This multi-objective coordination can maximize the overall benefit.

[0081] In some embodiments, the intelligent multi-domain efficient coordination method described in the present solution can improve the overall performance of the wireless communication network. The improvement of the overall performance of the wireless communication network includes but is not limited to one of the following: improvement of user satisfaction, improvement of energy efficiency, improvement of network capacity, improvement of edge user throughput, improvement of probe signal capacity, reduction of end-to-end transmission delay, reduction of handover delay, reduction of feedback overhead, etc. The description of the improvement of the overall performance of the wireless communication network is not repeated one by one in other examples or embodiments.

[0082] In one example, the improvement of the overall performance of the wireless communication network includes at least one of the following: more than 1 times improvement of user satisfaction, more than 15 times improvement of energy efficiency, more than 4 times improvement of network capacity, more than 2 times improvement of edge user throughput, more than 2 times improvement of probe signal capacity, more than 1 times reduction of end-to-end transmission delay, more than 1 times reduction of handover delay, and more than 90% reduction of feedback overhead.

[0083] In one example, for the application domain, in order to provide a richer and more personalized user experience, it is necessary to collect and analyze various data of users, thus inevitably involving the problem of user data privacy. This requires us to ensure the security and privacy of user data are not infringed while meeting the personalized user experience.

[0084] In one example, for the control domain, in order to realize efficient communication and extensive coverage, dense networking becomes an important trend, but this inevitably leads to the intensification of user interference. This requires us to ensure effective control of user interference while meeting efficient communication.

[0085] In one example, for the signal domain, in order to improve the capacity of data transmission, the maximization of spectrum efficiency becomes the core pursuit, thus inevitably intensifying the complexity of wireless channel acquisition and use. This requires us to comprehensively improve the reliability and effectiveness of wireless channel use while pursuing spectrum efficiency.

[0086] Embodiments of the present disclosure provide an intelligent multi-domain efficient coordination information processing method, which is applied to a wireless communication system. As shown in FIG. 3, the method comprises the following steps S101-S104.

[0087] S101, obtaining N data packets generated by an application domain.

[0088] N is a positive integer.

[0089] In some embodiments, the N data packets correspond to K different application domain services, each application domain service including at least one of the following: game service, voice service, long video service, short video service, picture service, payment service, positioning service, chat service, web service, high-definition video, virtual reality, augmented reality, mixed reality, and perception service, wherein K is a positive integer and K is less than or equal to N.

[0090] In one example, the N data packets correspond to K different application domain services, which means that the N data packets are generated according to K different application domain services. There may be a case where one application domain service generates one or more data packets.

[0091] S102, determining M feature sets corresponding to the N data packets according to the N data packets.

[0092] M is a positive integer.

[0093] In some embodiments, each feature set comprises at least one of the following features: a spectrum efficiency requirement, a transmission delay requirement, a reliability requirement, a capacity requirement, an energy efficiency requirement, a quality of service requirement. It can be understood that in other embodiments, the spectrum efficiency requirement, the transmission delay requirement, the reliability requirement, the capacity requirement, the energy efficiency requirement, the quality of service requirement can be respectively replaced by a spectrum efficiency index, a transmission delay index, a reliability index, a capacity index, an energy efficiency index, a quality of service index, and their values can be real numbers.

[0094] In some embodiments, the spectrum efficiency requirement comprises an average spectrum efficiency requirement and / or an edge spectrum efficiency requirement.

[0095] In some embodiments, the N data packets obtained from the application domain can be subjected to feature extraction by statistical or intelligent techniques to obtain M feature sets corresponding to the N data packets.

[0096] In some embodiments, M feature sets corresponding to the N data packets are determined according to feature parameters of each data packet in the N data packets. The feature parameters comprise at least one of the following: a quality of service of the data packet, a size of the data packet, a generation frequency of the data packet.

[0097] In some examples, a feature set of an i-th data packet in the N data packets is analyzed based on a feature parameter of the i-th data packet, where i = 1, …, N, and N = M. That is, the N data packets correspond to M feature sets means that the i-th data packet corresponds to the i-th feature set. In some embodiments, the feature sets corresponding to one or more data packets are the same, so that there are only M different feature sets in the N feature sets, where M is less than or equal to N.

[0098] In some embodiments, in the M feature sets corresponding to the N data packets, each data packet corresponds to a feature set, and if the i-th data packet corresponds to the j-th feature set. Some feature sets correspond to one or more data packets, or the feature sets corresponding to multiple data packets are the same. Here, i = 1, …, N, and j is an integer less than or equal to M.

[0099] In some embodiments, a feature parameter of each data packet in the N data packets is input into an artificial intelligence model to obtain M feature sets corresponding to the N data packets.

[0100] The partial layers of the artificial intelligence model can include at least one of at least one residual block (resnet), at least one dense block (densenet), at least one long short-term memory network (LSTM), at least one encoder, and at least one decoder. In one example, the artificial intelligence model includes 2 residual blocks. In one example, the artificial intelligence model includes 2 dense blocks. In one example, the artificial intelligence model includes one LSTM and one resnet. In one example, the artificial intelligence model is implemented by a Transformer model, and one Transformer model includes one or more encoders and one or more decoders.

[0101] In some examples, the feature parameters in the i-th data packet of the N data packets are input into the artificial intelligence model to obtain a feature set corresponding to the i-th data packet, and i is less than or equal to N. Here, there can be multiple data packets corresponding to the same feature set, as long as the multiple data packets have the same feature parameters.

[0102] In some embodiments, in the case where the number of feature sets corresponding to the N data packets is greater than N, a merging operation is performed on the multiple feature sets according to the similarity distances between the feature sets corresponding to the N data packets, until the number of feature sets is less than or equal to N, to obtain M feature sets.

[0103] In this way, the merging operation on the multiple feature sets according to the similarity distances between the feature sets can help to remove redundant or repeated feature sets, so that the processing of the data packets becomes more efficient and clear. This helps to improve data quality and processing accuracy.

[0104] S103, determining M configuration information of the N data packets according to the M feature sets corresponding to the N data packets in the control domain.

[0105] Each configuration information includes signal domain configuration information and resource domain configuration information.

[0106] In some embodiments, the signal domain configuration information includes at least one of the following: carrier frequency, carrier aggregation mode, modulation mode, demodulation reference signal configuration information, channel state information reference signal configuration information, multiplexing mode, multi-antenna mode, and information processing mode. In other examples or embodiments, they will not be described one by one.

[0107] In some embodiments, the multi-antenna mode includes but is not limited to single-user MIMO, multi-user MIMO, multi-node non-coherent joint transmission, multi-node coherent transmission, and multi-node joint reception. Multi-node joint reception is also called virtual MIMO. In other embodiments, they will not be described one by one.

[0108] In some embodiments, the information processing manners include but are not limited to linear information processing manners and nonlinear information processing manners. The nonlinear information processing manners include but are not limited to artificial intelligence, deep learning, large models, etc. The linear information processing manners can be other classical information processing manners except for the artificial intelligence manner. In other examples or embodiments, they are not described one by one.

[0109] In some embodiments, the reference signal configuration information includes but is not limited to at least one of the following: time domain resource configuration information, frequency domain resource configuration information, code domain resource configuration information, and space domain resource configuration information of the reference signal. In other embodiments, they are not described one by one.

[0110] In some embodiments, the resource domain configuration information includes at least one of the following: time domain resource configuration information, frequency domain resource configuration information, space domain resource configuration information, code domain resource configuration information, computing power resource configuration information, storage resource configuration information, a first node set (a sending node set), and a second node set (a receiving node set). In the following, they are not described one by one.

[0111] In some embodiments, according to the M feature sets corresponding to the N data packets, the M configuration information of the N data packets is determined, including:

[0112] In the case of M equal to N, according to the feature set of the i th data packet, the configuration information of the i th data packet is determined, wherein i is a non-negative integer less than or equal to M.

[0113] In some embodiments, according to the feature set of the i th data packet, the configuration information of the i th data packet is determined, including:

[0114] The feature set of the i th data packet is input into an artificial intelligence model to obtain the configuration information of the i th data packet.

[0115] Exemplarily, the configuration information of the i th data packet is determined based on the following formula: [l i ,R i ]=f1(F i )

[0116] Wherein, i is a non-negative integer less than or equal to M. F i represents one or more features in the feature set of the i th data packet in the N data packets, l i represents the signal domain configuration information of the i th data packet, R i represents the resource domain configuration information of the i th data packet, and f1 represents a first generating function. The first generating function can be realized by an artificial intelligence model, or can be a pre-agreed mapping rule for mapping one or more features in the feature set to the signal domain configuration information and the resource domain configuration information.

[0117] In some embodiments, the configuration information of the ith data packet is determined according to the feature set of the ith data packet, including:

[0118] According to at least one feature in the feature set of the ith data packet, a feature combination to which the feature set of the ith data packet belongs is determined.

[0119] According to the feature combination of the ith data packet, the configuration information of the ith data packet is determined, wherein a corresponding relationship between the feature combination and the configuration information is predefined.

[0120] In some examples, the spectrum efficiency requirement is divided into one or more sets or interval ranges. For example, when the spectrum efficiency is greater than or equal to a i , less than a i+1 , it represents the ith spectrum efficiency set or spectrum efficiency interval range S i , where a i is a real number greater than 0, and a i is less than a i+1 , i = 1, …, N1, and N1 is a positive integer greater than 1.

[0121] In some examples, the transmission delay requirement is divided into one or more sets or interval ranges. For example, when the transmission delay is greater than or equal to b i , less than b i+1 , it represents the ith transmission time domain set or transmission delay set interval range D i , where b i is a real number greater than 0, and b i is less than b i+1 , i = 1, …, N2, and N2 is a positive integer greater than 1.

[0122] In some examples, the reliability requirement is divided into one or more sets or interval ranges. For example, when the reliability is greater than or equal to c i , less than c i+1 , it represents the ith reliability set or reliability interval range R i , where c i is a real number greater than 0, and c i is less than c i+1 , i = 1, …, N3, and N3 is a positive integer greater than 1.

[0123] In some examples, the capacity requirement is divided into one or more sets or interval ranges. For example, when the capacity is greater than or equal to d i , less than d i+1 , it represents the ith capacity set or capacity interval range C i , where d i is a real number greater than 0, and d iless than d i+1 , i = 1,..., N4, and N4 is a positive integer greater than 1.

[0124] In some examples, the energy efficiency requirement is divided into one or more sets or ranges. For example, an energy efficiency greater than or equal to e i and less than e i+1 indicates the i-th energy efficiency set or energy efficiency range E i , where e i is a real number greater than 0, and e i is less than e i+1 , i = 1,..., N5, and N5 is a positive integer greater than 1.

[0125] In some examples, the quality of service requirement is divided into one or more sets or ranges. For example, a quality of service greater than or equal to f i and less than f i+1 indicates the i-th quality of service set or quality of service range Q i , where f i is a real number greater than 0, and f i is less than f i+1 , i = 1,..., N6, and N6 is a positive integer greater than 1.

[0126] In other examples or embodiments, the description of dividing the spectral efficiency requirement, the transmission delay requirement, the reliability requirement, the capacity requirement, the energy efficiency requirement, the quality of service requirement, etc. into one or more sets or ranges is not repeated.

[0127] In some embodiments, the feature combination includes a combination of one or more of the following sets: one spectral efficiency set S, one transmission delay set D, one reliability set R, one capacity set C, one energy efficiency set E, one quality of service set Q. The description of the feature combination is not repeated in other embodiments.

[0128] In one example, a feature combination includes S1 and D1. In one example, a feature combination includes S1, D1 and R1. In one example, a feature combination includes S1, D1, R1 and C1. In one example, a feature combination includes S1, D1, R1 and E1. In one example, a feature combination includes S1, D1, R1, C1 and Q1. In one example, a feature combination includes S1, D1, R1, E1, C1 and Q1. In one example, a feature combination includes one or more of S1, D1, R1, E1, C1 and Q1.

[0129] In other examples, one feature combination can replace one or more of S1, D1, R1, E1, C1 and Q1 with other sets with set index greater than 1, such as one feature combination including S i , D j , R k , E h , C m and Q n , where i, j, k, h, m, n are integers greater than or equal to 1 and less than or equal to the number of sets N1, N2, N3, N4, N5, respectively. The description of feature combinations is not repeated in other examples or embodiments.

[0130] For example, one or more features (e.g., one or more of spectral efficiency requirement, transmission delay requirement, reliability requirement, capacity requirement, energy efficiency requirement, quality of service requirement) covered by a feature set is divided into T feature combinations FG g , g = 1, …, T, according to its value range, and each feature combination corresponds to a set of configuration information (including signal domain configuration information and resource domain configuration information). If at least one feature in the feature set F i of the i-th data packet belongs to the j-th feature combination, the configuration information of the i-th data packet is determined as the configuration information corresponding to the j-th feature combination FG j , where i = 1, …, N, and j is an integer less than or equal to T.

[0131] In some embodiments, M configuration information of N data packets is determined according to M feature sets corresponding to the N data packets and the capability of the communication system.

[0132] The capability of the communication system includes at least one of the following: signal domain capability of the communication system, resource domain capability of the communication system.

[0133] In the case where at least two data packets in the N data packets correspond to the same feature set, determining the configuration information of the data packet according to only the feature set can cause ambiguity, and combining the feature set and the capability of the communication system can improve the accuracy of determining the configuration information of the data packet.

[0134] In some examples, when M is less than or equal to N, the configuration information of the i-th data packet in the N data packets is determined according to the feature set corresponding to the i-th data packet and the capability of the communication system.

[0135] In some embodiments, the signal capability of the communication system includes at least one of the following: whether the first node supports joint transmission, the type of joint transmission supported by the first node, whether the first node supports distributed precoding, the maximum number of data streams transmitted by the first node, whether the first node supports repeated transmission, the type of repeated transmission supported by the first node, whether the second node supports multi-node joint reception, whether the second node supports repeated transmission, the supported modulation mode, whether high frequency beamforming is supported, the supported bandwidth size, whether artificial intelligence is supported, and the model type of artificial intelligence, etc. In one embodiment, the type of joint transmission supported by the first node can be non-coherent joint transmission (NC-JT) or coherent joint transmission (C-JT), or multi-node selection transmission, coordinated scheduling / beamforming (CS / CB), etc. In one example, the type of repeated transmission includes but is not limited to one of the following: repeated transmission on different time domain resources, repeated transmission on different spatial domain resources (such as different data streams), repeated transmission on different frequency domain resources. Of course, it can also be repeated transmission on at least two of space-time-frequency domains. In one example, the joint reception of the second node can also be referred to as virtual MIMO, which means that multiple terminals cooperate to form a large terminal joint receiving data stream. In one example, the model type of artificial intelligence can include positioning model, CSI compression model, CSI prediction model, beam prediction model, channel estimation model, etc. according to the function. In one example, the model type of artificial intelligence can include fully connected model, convolutional model, recurrent network model, etc. according to the network structure. In other examples or embodiments, the description of the signal capability of the communication system is not repeated.

[0136] In some embodiments, the resource capability of the communication system includes at least one of the following: computing power resource capability, storage resource capability. The computing power resource capability includes at least one of the following: the number of supported graphics processors, the number of supported central processing units, the type of supported graphics processors, the type of supported central processing units, the size of the remaining computing power resources, the data type and precision supported by hardware. The storage resource capability includes one of the following: memory size, register number, graphics processor video memory size, and size of remaining storage resources. In other examples or embodiments, the description of the resource capability of the communication system is not repeated.

[0137] In some embodiments, the resource capability of the communication system and the signal capability of the communication system are collectively referred to as the capability of the communication system, and their parameters can be described together. Some parameters of the signal capability of the communication system can be described in the resource capability of the communication system.

[0138] In some embodiments, the M configuration information of the N data packets is determined according to the M feature sets of the N data packets and the capability of the communication system, comprising:

[0139] The M feature sets of the N data packets and the capability of the communication system are input into an artificial intelligence model to obtain the M configuration information of the N data packets.

[0140] In some embodiments, the M feature sets of the N data packets and the capability of the communication system are input into an artificial intelligence model to obtain the M configuration information of the N data packets, comprising at least one of the following:

[0141] The M feature sets of the N data packets and the signal capability of the communication system are input into a first artificial intelligence model to obtain the M configuration information of the N data packets;

[0142] The M feature sets of the N data packets and the resource capability of the communication system are input into a second artificial intelligence model to obtain the M configuration information of the N data packets;

[0143] The M feature sets of the N data packets, the signal capability of the communication system, and the resource capability of the communication system are input into a third artificial intelligence model to obtain the M configuration information of the N data packets.

[0144] The first artificial intelligence model, the second artificial intelligence model, and the third artificial intelligence model can be different artificial intelligence models. Part of the layers of the artificial intelligence model can include at least one of the following: at least one residual block (resnet), at least one dense block (densenet), at least one long short-term memory network (LSTM), at least one encoder, and at least one decoder.

[0145] In some examples, the signal capability of the communication system is divided into one or more signal capability sets, such as the ith signal capability set IA i of the communication system, i = 1, …, N6. It can be a plurality of sets pre-allocated according to the signal capability of the communication system. In one example, when the first node supports coherent joint transmission, the bandwidth is greater than g1, and the terminal supports multi-node joint reception, the signal capability set is IA1. In one example, when the first node supports coherent joint transmission, the bandwidth is less than g1, and the terminal supports multi-node joint reception, the signal capability set is IA2. In one example, when the first node supports non-coherent joint transmission, and the bandwidth is greater than g1, the signal capability set is IA3. Here, N6 is a positive integer. In other examples or embodiments, different signal capability sets can be pre-set according to other signal capabilities of the communication system, which will not be described one by one. The description of the division of the signal capability of the communication system into a plurality of signal capability sets will not be described one by one in other examples or embodiments.

[0146] In some examples, the resource domain capabilities of a communication system are divided into one or more sets of resource domain capabilities, such as the resource domain capability set RA of the i-th communication system. i , i = 1, ..., N7. It can be multiple sets pre-allocated based on the resource domain capabilities of the communication system. In one example, the computing resources are greater than h. i less than h i+1 And the storage capacity is greater than g j less than or equal to g j+1 At that time, the resource domain capability set is RA. k h i g is a positive real number. j h is a positive real number. i Less than h i+1 g j Less than g j+1 i = 1, ..., N8; j = 1, ..., N9; and k = 1, ..., N7. Here, N7, N8, and N9 are all positive integers. In other examples or embodiments, different sets of resource domain capabilities can be pre-defined based on the other resource domain capabilities of the communication system, which will not be listed one by one. The description of dividing the resource domain capabilities of the communication system into multiple sets of resource domain capabilities will not be repeated in other examples or embodiments.

[0147] In some examples, S i D j R k E h C m Q n One or more of them, and RA g IA f One or more of these constitute a feature and ability combination, where i, j, k, h, m, n, g, and f are respectively greater than or equal to 1 and less than or equal to the number of their corresponding sets N1, N2, N3, N4, N ... 5， N8, N9. Further explanations regarding the combination of features and capabilities will not be repeated in other examples or embodiments.

[0148] For example, when M is less than or equal to N, the configuration information of the i-th data packet is determined based on the following formula: [l i ,R i ]=f2(F i IA i )

[0149] Where i is a non-negative integer less than or equal to N. F i IA represents one or more features from the feature set of the i-th data packet out of N data packets. irepresents a signal domain capability of the communication system, l i represents signal domain configuration information of the i-th data packet, R i represents resource domain configuration information of the i-th data packet, and f2 represents a second generation function. The second generation function can be implemented by the first artificial intelligence model described above, or F i and IA i are mapped to l i and R i .

[0150] Exemplarily, in a case where M is less than or equal to N, the configuration information of the i-th data packet is determined based on the following formula: [l i ,R i ] = f3(F i ,RA i )

[0151] wherein i is a non-negative integer less than or equal to N. F i represents one or more features in the feature set of the i-th data packet in the N data packets, RA i represents a resource domain capability of the communication system, l i represents signal domain configuration information of the i-th data packet, R i represents resource domain configuration information of the i-th data packet, and f3 represents a third generation function. The third generation function can be implemented by the second artificial intelligence model described above, or F i and RA i are mapped to l i and R i .

[0152] Exemplarily, in a case where M is less than or equal to N, the configuration information of the i-th data packet is determined based on the following formula: [l i ,R i ] = f4(F i ,IA i ,RA i )

[0153] wherein F i represents one or more features in the feature set of the i-th data packet in the N data packets, IA i represents a signal domain capability of the communication system, RA i represents a resource domain capability of the communication system, l i represents signal domain configuration information of the i-th data packet, R i represents resource domain configuration information of the i-th data packet, and f4 represents a fourth generation function. The fourth generation function can be implemented by the third artificial intelligence model described above, or F i, IA i and RA i mapped to l i and R i , i = 1, …, N.

[0154] In some embodiments, the M configuration information of the N data packets is determined according to the M feature sets corresponding to the N data packets and the capability of the communication system, comprising:

[0155] For each of the M feature sets corresponding to the N data packets, a feature and capability combination to which the feature set and the capability of the communication system belong is determined according to at least one feature in the feature set and the capability of the communication system.

[0156] According to the feature and capability combination to which the feature set and the capability of the communication system belong, the configuration information of the data packet corresponding to the feature set is determined, and a corresponding relationship between the feature and capability combination and the configuration information is predefined.

[0157] In some embodiments, for an i-th data packet of the N data packets, a feature and capability combination to which the i-th data packet belongs is determined according to at least one feature of a feature set of the i-th data packet and the capability of the communication system, and the configuration information of the i-th data packet is determined according to the feature and capability combination to which the i-th data packet belongs, wherein i is a positive integer less than or equal to N, and a corresponding relationship between the feature and capability combination and the configuration information is predefined.

[0158] Exemplarily, one or more features (for example, one or more of spectrum efficiency requirements, transmission delay requirements, reliability requirements, capacity requirements, energy efficiency requirements, and quality of service requirements) covered by a feature set and a possible value range of a signal domain capability of a communication system are divided into T feature and capability combinations according to the value range, each feature and capability combination corresponds to a set of configuration information (including signal domain configuration information and resource domain configuration information), and if a feature set of an i-th data packet and a signal domain capability of a communication system belong to a j-th feature and capability combination, configuration information of the i-th data packet is determined as configuration information corresponding to the j-th feature and capability combination, wherein j = 1, …, T.

[0159] Exemplarily, possible values of one or more features (e.g., one or more of spectrum efficiency requirement, transmission latency requirement, reliability requirement, capacity requirement, energy efficiency requirement, quality of service requirement) in the feature set and resource domain capability of the communication system are divided into T feature and capability combinations according to their value ranges, each feature and capability combination corresponds to a set of configuration information (including signal domain configuration information and resource domain configuration information), if the feature set of the i-th data packet and the resource domain capability of the communication system belong to the j-th feature and capability combination, the configuration information of the i-th data packet is determined as the configuration information corresponding to the j-th feature and capability combination, where j = 1, …, T.

[0160] Exemplarily, possible values of one or more features (e.g., one or more of spectrum efficiency requirement, transmission latency requirement, reliability requirement, capacity requirement, energy efficiency requirement, quality of service requirement) in the feature set, signal domain capability of the communication system and resource domain capability of the communication system are divided into T feature and capability combinations according to their value ranges, each feature and capability combination corresponds to a set of configuration information (including signal domain configuration information and resource domain configuration information), if the feature set of the i-th data packet, the signal domain capability of the communication system and the resource domain capability of the communication system belong to the j-th feature and capability combination, the configuration information of the i-th data packet is determined as the configuration information corresponding to the j-th feature and capability combination, where j = 1, …, T.

[0161] S104, processing the N data packets according to the M configuration information of the N data packets and intelligent technology.

[0162] In some embodiments, a digital twin wireless communication system simulating the application domain, the control domain and the signal domain is generated, and transmission of the N data packets is simulated in the digital twin wireless communication system according to the M configuration information of the N data packets. In this way, through the digital twin wireless communication system, the data packet transmission situation under different configurations can be quickly simulated, and the transmission configuration and scheduling strategy of the data packet are optimized.

[0163] In some embodiments, for the i-th data packet in the N data packets, a digital twin wireless communication system corresponding to the i-th data packet is generated according to the configuration information corresponding to the i-th data packet, and transmission of the i-th data packet is simulated in the digital twin wireless communication system, i = 1, …, N.

[0164] In some embodiments, a digital twin wireless communication system corresponding to the i-th data packet is generated according to the configuration information corresponding to the i-th data packet, and the i-th data packet is transmitted in the digital twin wireless communication system, i = 1, …, N.

[0165] In some embodiments, a digital twin wireless communication system is generated according to the capability of the communication system, in which the transmission of N data packets is simulated according to M configuration information of the N data packets. The capability of the communication system includes the resource domain capability and / or the signal domain capability of the communication system.

[0166] In some embodiments, the transmission of N data packets is simulated in the digital twin wireless communication system according to M configuration information of the N data packets, and the process is as follows: for the i-th data packet of the N data packets, according to the configuration information of the i-th data packet, the resource domain information for transmitting the i-th data packet is configured in the digital twin wireless communication system, such as at least one of the following resources for transmitting the i-th data packet: time domain resource, frequency domain resource, space domain resource, code domain resource, computing resource, storage resource, index set of the first node used, index set of the second node used. According to the configuration information of the i-th data packet, the signal domain information for transmitting the i-th data packet is configured in the digital twin wireless communication system, such as at least one of the following: carrier frequency used for transmitting the i-th data packet, mode of carrier aggregation, value of modulation and coding scheme, configuration of DMRS, configuration of CSI-RS, multi-antenna mode, information processing method, etc. And according to the transmission resource and signal processing algorithm determined by the configured resource domain information and signal domain information, the i-th data packet is transmitted. Here, i = 1, …, N.

[0167] In some embodiments, for each data packet in the N data packets, it is determined whether the transmission of the data packet in the digital twin wireless communication system meets the transmission requirement. In one example, it is determined whether the transmission of the i-th data packet meets the transmission requirement, which means whether the i-th data packet meets at least one feature in the feature set corresponding to the i-th data packet after the transmission is completed. Such as whether it meets one or more of the spectral efficiency requirement, transmission delay requirement, reliability requirement, capacity requirement, energy efficiency requirement, quality of service requirement of the i-th data packet. As for how many features need to be met, it can be pre-set or agreed, here, i = 1, …, N.

[0168] If the transmission of any data packet in the N data packets in the digital twin wireless communication system meets the transmission requirement, it is determined that the M configuration information of the N data packets is the final M configuration information;

[0169] If the transmission of at least one data packet in the N data packets in the digital twin wireless communication system does not meet the transmission requirement, the M configuration information of the N data packets is determined and updated in the control domain according to the M feature sets corresponding to the N data packets;

[0170] The above operations are performed until the transmission of the N data packets in the digital twin wireless communication system meets the transmission requirement.

[0171] In this way, in a case where the transmission of any one of the N data packets in the digital twin wireless communication system meets the transmission requirement, the final M configuration information of the N data packets is determined, which can improve the accuracy of the determination of the configuration information of the N data packets, so that the wireless communication system can better transmit the N data packets based on the final M configuration information, and the overall performance of the communication system is improved.

[0172] In some embodiments, in a case where the transmission of the N data packets in the digital twin wireless communication system meets the transmission requirement according to the M configuration information of the N data packets, after the final M configuration information of the N data packets is determined, the wireless communication system determines the transmission resource of the N data packets according to the M configuration information of the N data packets, and transmits the N data packets on the transmission resource.

[0173] In some embodiments, the wireless communication system determines the transmission resource corresponding to the i th data packet according to the configuration information of the i th data packet, and transmits the i th data packet on the transmission resource, where i is a non-negative integer less than or equal to N.

[0174] In some embodiments, the wireless communication system sends the M configuration information of the N data packets to the second node through the first node, or directly sends the M configuration information of the N data packets to the second node.

[0175] For example, taking the first node as a base station and the second node as a terminal as an example, the wireless communication system sends the M configuration information of the N data packets to the corresponding base station, and the base station sends the M configuration information of the N data packets to the corresponding terminal. Alternatively, the M configuration information of the N data packets is directly sent to the corresponding terminal.

[0176] In some embodiments, the wireless communication system includes an information controller, which is located in at least one of the following: a base station, a core network, and a third-party server; the information controller is configured to perform the method described in any of the above embodiments or examples. The number of base stations and third-party servers is not limited in the embodiments of the present disclosure. For example, the information controller can be located in one or more base stations, and / or located in one or more core network elements, and / or located in one or more independent third-party servers. The information controller can also have other names, such as a centralized controller or an intelligent domain, which are not limited in the embodiments of the present disclosure.

[0177] Some embodiments are given below to illustrate the process of actually transmitting the i th data packet by the wireless communication system, where i is a non-negative integer less than or equal to N.

[0178] In some embodiments, for the ith data packet, according to the configuration information of the ith data packet, resource domain information for transmitting the ith data packet is configured in the wireless communication system, such as at least one of the following resources for transmitting the ith data packet: time domain resource, frequency domain resource, space domain resource, code domain resource, computing resource, storage resource, index set of the first node used, index set of the second node used. According to the configuration information of the ith data packet, signal domain information for transmitting the ith data packet is configured in the wireless communication system, such as at least one of the following: carrier frequency used for transmitting the ith data packet, mode of carrier aggregation, value of modulation and coding scheme, configuration of DMRS, configuration of CSI-RS, multi-antenna mode used, information processing mode used, etc. And according to the configured resource domain information and signal domain information, the ith data packet is transmitted, where i = 1, …, N.

[0179] In one example, for a data packet of N data packets, the resource domain and signal domain configuration of the wireless communication system corresponding to the data packet includes K1 base stations for joint transmission, and is coherent joint transmission, K2 data streams are used, and K3 subbands are allocated in bandwidth. Then, the K1 base stations are used to transmit the data packet in the K3 subbands in a coherent joint transmission manner, where K1, K2, and K3 are positive integers greater than 1.

[0180] In one example, for a data packet of N data packets, the reliability requirement of the data packet is greater than 99.99%, and the transmission delay is less than 1ms. In order to meet the reliability requirement and the transmission delay requirement, K1 data streams are allocated to the data packet in the resource domain and signal domain configuration of the wireless communication system, and K2 subbands are allocated. In these subbands, the subbands are divided into two subband groups, and each subband group performs frequency domain repeated transmission. That is, the contents transmitted by the two subband groups are the same, in order to improve the reliability. And in the channel coding scheme, QAM with code rate 1 / 2 is selected to improve the reliability, where K1 and K2 are positive integers greater than 1.

[0181] In one example, for one of the N data packets, it has a reliability requirement greater than 99.99% and a transmission delay less than 10ms. In order to meet the reliability requirement and the transmission delay requirement, the wireless communication system resource domain and signal domain configuration allocates K1 data streams and K2 subbands to this data packet. Since it has a relatively large delay requirement, it can be transmitted in K3 time slots. In order to provide reliability, repeated transmission can be performed in K3 different time slots. That is, the contents transmitted in multiple different time slots are the same to improve reliability. And in the channel coding scheme, QAM with code rate 1 / 2 is selected to improve reliability, wherein K1, K2, K3 are positive integers greater than 1.

[0182] In one example, for one of the N data packets, its energy efficiency requirement is less than a bit / joule per bit of energy consumption, or less than b watts of radio frequency transmission power per base station, a or b is a positive real number, which can be less than 1 / 4 of the existing 5G communication system. In the resource domain and signal domain configuration of the wireless communication system, K1 data streams and K2 subbands are allocated to this data packet, and the multiple antenna technology allocated is distributed MIMO without cells (wherein without cells can also be referred to as without cells, or cell free). According to the user's location information, find the K3 base stations closest to this user, or the K3 base stations with the smallest path loss, or the K3 base stations with the smallest reference signal receiving power (RSRP) to transmit data for it. By selecting the base station closest to the user to serve it, the transmission power can be reduced. To achieve the purpose of saving energy, K1, K2, K3 are integers greater than or equal to 1.

[0183] In one example, for one of the N data packets, the resource domain and signal domain configuration of the wireless communication system corresponding to the data packet includes 1 base station, uses K1 data streams, and allocates K2 subbands in bandwidth. Due to the existence of blocking, the signal to interference plus noise ratio (SINR) is relatively small, and in order to improve its spectral efficiency, a reconfigurable intelligent surface (RIS) that can cover the user is selected. Then, the 1 base station and the RIS are used to transmit the data packet in the K2 subbands, K1, K2 are integers greater than or equal to 1.

[0184] In one example, for one of the N data packets, the data packet corresponds to a resource domain and a signal domain configuration of the wireless communication system, the first communication node includes 1 base station, K1 data streams are used, K2 subbands are allocated in bandwidth, but since the user only supports at most two data streams, it is difficult to meet the requirement of spectral efficiency, but it supports multi-node joint reception (such as virtual MIMO). In order to improve its spectral efficiency, the wireless communication system configures K3 cooperative terminals for the terminal corresponding to the data packet, and the K3 cooperative terminals and the terminal corresponding to the data packet receive the K1 data streams transmitted by the base station in the form of virtual MIMO. Here, K1, K2, K3 are positive integers greater than 1.

[0185] In one example, for one of the N data packets, the wireless communication system configures a terminal group to jointly receive (or referred to as virtual MIMO) the data packet. Here, the terminal group includes K terminals, and K is a positive integer greater than 1. The data packet is needed to be transmitted to the first terminal in the terminal group, and the subsequent first terminal is referred to as the main terminal, and the other terminals are referred to as the auxiliary terminals. In order for the base station to better configure the resource domain information and the signal domain information, the main terminal needs to feed back the following channel state information through high layer signaling and / or physical layer signaling: the rank RI1 supported by a single node, the rank RI2 supported by multi-node joint reception, the precoding matrix indication PMI1 corresponding to a single node, the precoding matrix indication PMI2 corresponding to multi-node joint reception, the channel quality indication CQI1 corresponding to a single node, and the channel quality indication CQI2 corresponding to multi-node joint reception. Here, RI1, PMI1, and CQI1 are the channel rank, precoding matrix indication, and channel quality indication corresponding to the channel when only the main terminal receives. RI2, PMI2, and CQI2 are the channel rank, precoding matrix indication, and channel quality indication corresponding to the channel when joint reception is performed with at least one auxiliary terminal. When joint reception is performed, the number of terminals for joint reception also needs to be fed back, and the channel rank corresponding to each terminal also needs to be fed back. In some examples, the main terminal also needs to feed back the number of reference signal resource ports and / or processing delay that it expects the base station to configure. In one example, the processing delay includes Z and Z', where Z is the interval from the last symbol of the physical downlink control channel (PDCCH) transmitted by the base station to the first symbol of the physical uplink shared channel (PUSCH) used to carry the CSI, and Z' is the interval from the last symbol of the channel state information reference signal used by the base station to calculate the CSI to the first symbol of the PUSCH used to carry the CSI. In one example, the table of Z and Z' needs to be redefined. In one example, a fixed offset value is added based on the existing 5G NR technology table.

[0186] In one example, the wireless communication system does not configure the multi-node joint reception, and the terminal also needs to feed back the number of reference signal resource ports and / or processing delay that the terminal expects the base station to configure, wherein the processing delay includes Z and Z', and the definitions of Z and Z' are as described in the previous embodiments, which will not be repeated here. The base station receives at least one of the number of reference signal resource ports, the processing delay, and the like fed back by the terminal, to better determine and configure the signal domain configuration information and / or the resource domain configuration information.

[0187] In some examples, before the wireless communication system determines the M configuration information of the N data packets in the control domain according to the M feature sets corresponding to the N data packets, the wireless communication system further includes receiving feedback parameters transmitted by the communication nodes. The feedback parameters of the communication nodes include at least one of the following: the rank RI1 supported by a single node, the rank RI2 supported by the multi-node joint reception, the precoding matrix indication PMI1 corresponding to a single node, the precoding matrix indication PMI2 corresponding to the multi-node joint reception, the channel quality indication CQI1 corresponding to a single node, the channel quality indication CQI2 corresponding to the multi-node joint reception, the number of expected configured reference signal ports, the expected processing delay Z and the expected processing delay Z', the offset of the processing delay Z, the offset of the processing delay Z', and the table index of the processing delay.

[0188] In some examples, the wireless communication system determines the M configuration information of the N data packets in the control domain according to at least one of the M feature sets corresponding to the N data packets and the received feedback parameters of the communication nodes. For example, in one example, whether to configure the multi-node joint reception is determined according to the size relationship between the rank RI1 supported by a single node and the rank RI2 supported by the multi-node joint reception in the feedback parameters, such as configuring the multi-node joint reception when RI1 is less than RI2, and otherwise configuring the single node reception. For example, in one example, whether to configure the multi-node joint reception is determined according to the size relationship between the capacity of the CQI1 corresponding to a single node and the capacity of the CQI2 corresponding to the multi-node joint reception in the feedback parameters, such as configuring the multi-node joint reception when the capacity corresponding to CQI1 is less than the capacity corresponding to CQI2, and otherwise configuring the single node reception. For example, in one example, whether to use an artificial intelligence processing method is determined according to the size of the processing delay Z or Z', and when Z and Z' satisfy the processing delay of the artificial intelligence model, the artificial intelligence processing method is configured to process the signal, otherwise the non-artificial intelligence processing method is configured to process the signal. For example, in one example, whether to configure the multi-node joint reception is determined according to the size of the processing delay Z or Z', and when Z and Z' satisfy the processing delay of the multi-node joint reception, the multi-node joint reception is configured, otherwise the single node reception is configured.

[0189] Based on this, N data packets generated by an application domain are acquired; M feature sets corresponding to the N data packets are determined according to the N data packets, each feature set including at least one of the following features: spectral efficiency requirement, transmission delay requirement, reliability requirement, capacity requirement, energy efficiency requirement, and quality of service requirement; M configuration information of the N data packets is determined according to the M feature sets corresponding to the N data packets in a control domain, each configuration information including signal domain configuration information and resource domain configuration information; and the N data packets are processed according to the M configuration information of the N data packets and intelligent technology. Thus, intelligent multi-domain (application domain, control domain, signal domain, and resource domain) efficient collaborative management is realized, each data packet can be ensured to obtain an optimal or near-optimal processing path and resource allocation, and the comprehensive performance of a mobile communication network is improved.

[0190] The above mainly describes the scheme of the embodiments of the present disclosure from the perspective of a method. Hereinafter, an intelligent multi-domain efficient collaborative information processing apparatus is also shown, which is used to execute the intelligent multi-domain efficient collaborative information processing method in any of the above embodiments and implementation manners. It can be understood that the intelligent multi-domain efficient collaborative information processing apparatus contains hardware structures and / or software modules corresponding to the execution of each function in order to implement the intelligent multi-domain efficient collaborative information processing method. It should be easily realized by those skilled in the art that, in combination with the algorithm steps of each example described in the embodiments of the present disclosure, the embodiments of the present disclosure can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present disclosure.

[0191] The embodiments of the present disclosure can divide the intelligent multi-domain efficient collaborative information processing apparatus according to the method embodiments described above, for example, each function module can be divided according to each function, or two or more functions can be integrated in one function module. The integrated module can be implemented in the form of hardware or software. It should be noted that the division of the modules in the embodiments of the present disclosure is illustrative, and is only a logical function division. When actually implemented, there can be another division manner. Hereinafter, taking the division of each function module according to each function as an example for description.

[0192] FIG. 4 is a structural schematic diagram of an intelligent multi-domain efficient collaborative information processing apparatus according to an embodiment of the present disclosure, which is applied to a wireless communication system. The intelligent multi-domain efficient collaborative information processing apparatus 400 includes an acquisition module 401, a first determination module 402, a second determination module 403, a processing module 404, and a communication module 405.

[0193] The acquisition module 401 is configured to acquire N data packets generated by an application domain.

[0194] The first determination module 402 is configured to determine, according to the N data packets, M feature sets corresponding to the N data packets, each feature set including at least one of the following features: spectral efficiency requirement, transmission delay requirement, reliability requirement, capacity requirement, energy efficiency requirement, and quality of service requirement.

[0195] The second determination module 403 is configured to determine, in a control domain, M configuration information of the N data packets according to the M feature sets corresponding to the N data packets, each configuration information including signal domain configuration information and resource domain configuration information.

[0196] The processing module 404 is configured to process the N data packets according to the M configuration information of the N data packets and intelligent technology, N and M being positive integers.

[0197] In some embodiments, the N data packets correspond to K different application domain services, each application domain service including at least one of the following: game service, voice service, long video service, short video service, picture service, payment service, positioning service, chat service, webpage service, high-definition video, virtual reality, augmented reality, mixed reality, and perception service, K being a positive integer and K being less than or equal to N.

[0198] In some embodiments, the signal domain configuration information includes at least one of the following: carrier frequency, carrier aggregation mode, modulation mode, demodulation reference signal configuration information, channel state information reference signal configuration information, multiplexing mode, multi-antenna mode, and information processing mode.

[0199] In some embodiments, the resource domain configuration information includes at least one of the following: time domain resource configuration information, frequency domain resource configuration information, space domain resource configuration information, code domain resource configuration information, computing power resource configuration information, storage resource configuration information, first node set, and second node set.

[0200] In some embodiments, the first determination module 402 is configured to:

[0201] According to a feature parameter of each data packet in the N data packets, the M feature sets corresponding to the N data packets are determined, the feature parameter including at least one of the following: quality of service of the data packet, size of the data packet, and generation frequency of the data packet.

[0202] In some embodiments, the first determination module 402 is configured to:

[0203] The characteristic parameters of each of the N data packets are input into the artificial intelligence model to obtain M characteristic sets corresponding to the N data packets. Part of the layers of the artificial intelligence model include at least one of the following: at least one residual block, at least one dense block, at least one long short-term memory network, at least one encoder, and at least one decoder.

[0204] In some embodiments, the first determining module 402 is configured to:

[0205] In a case where the number of the characteristic sets corresponding to the N data packets is greater than N, a plurality of the characteristic sets are merged according to a similarity distance between the characteristic sets corresponding to the N data packets until the number of the characteristic sets is less than or equal to N, to obtain the M characteristic sets.

[0206] In some embodiments, the second determining module 403 is configured to:

[0207] In a case where M is equal to N, configuration information of the i th data packet is determined according to the characteristic set of the i th data packet, where i is a non-negative integer less than or equal to M.

[0208] In some embodiments, the second determining module 403 is configured to:

[0209] The characteristic set of the i th data packet is input into the artificial intelligence model to obtain the configuration information of the i th data packet.

[0210] In some embodiments, the second determining module 403 is configured to:

[0211] At least one characteristic in the characteristic set of the i th data packet is determined to belong to a characteristic combination of the i th data packet.

[0212] The configuration information of the i th data packet is determined according to the characteristic combination, and a corresponding relationship between the characteristic combination and the configuration information of the data packet is predefined.

[0213] In some embodiments, the second determining module 403 is configured to:

[0214] The M configuration information of the N data packets is determined according to the M characteristic sets corresponding to the N data packets and the capability of the communication system, and the capability of the communication system includes at least one of the following: signal capability of the communication system and resource capability of the communication system.

[0215] In some embodiments, the signal capability of the communication system comprises at least one of whether the first node supports joint transmission, a type of joint transmission supported by the first node, whether the first node supports distributed precoding, a maximum number of data streams transmitted by the first node, whether the first node supports repeated transmission, a type of repeated transmission supported by the first node, whether the second node supports multi-node joint reception, whether the second node supports repeated transmission, a supported modulation mode, whether high frequency beamforming is supported, a supported bandwidth size, whether artificial intelligence is supported, and a model type of the artificial intelligence.

[0216] In some embodiments, the resource capability of the communication system comprises at least one of a computing resource capability and a storage resource capability, wherein the computing resource capability comprises at least one of a number of supported graphic processing units, a number of supported central processing units, a type of supported graphic processing unit, a type of supported central processing unit, a size of a remaining computing resource, a type of data supported by hardware, and a precision, and the storage resource capability comprises at least one of a size of memory, a number of registers, a size of a graphic processing unit memory, and a size of a remaining storage resource.

[0217] In some embodiments, the second determining module 403 is configured to:

[0218] inputting the M feature sets of the N data packets and the capability of the communication system into an artificial intelligence model to obtain M configuration information of the N data packets.

[0219] In some embodiments, the second determining module 403 is configured to at least one of:

[0220] inputting the M feature sets of the N data packets and the signal capability of the communication system into a first artificial intelligence model to obtain M configuration information of the N data packets;

[0221] inputting the M feature sets of the N data packets and the resource capability of the communication system into a second artificial intelligence model to obtain M configuration information of the N data packets;

[0222] inputting the M feature sets of the N data packets, the signal capability of the communication system, and the resource capability of the communication system into a third artificial intelligence model to obtain M configuration information of the N data packets.

[0223] In some embodiments, the second determining module 403 is configured to:

[0224] for an i-th data packet of the N data packets, determining a feature and capability combination to which the i-th data packet belongs according to at least one feature of a feature set of the i-th data packet and the capability of the communication system;

[0225] According to a feature and capability combination to which the ith data packet belongs, determine configuration information of the ith data packet, a corresponding relationship between the feature and capability combination and the configuration information being predefined, i being a positive integer less than or equal to N.

[0226] In some embodiments, the processing module 404 is configured to:

[0227] generate a digital twin wireless communication system simulating the application domain, the control domain and the signal domain, and simulate transmission of the N data packets in the digital twin wireless communication system according to the M configuration information of the N data packets;

[0228] determine whether transmission of each data packet of the N data packets in the digital twin wireless communication system meets the transmission requirement;

[0229] if the transmission of the N data packets in the digital twin wireless communication system all meets the transmission requirement, determine the M configuration information of the N data packets as the final M configuration information;

[0230] if the transmission of at least one data packet of the N data packets in the digital twin wireless communication system does not meet the transmission requirement, determine and update the M configuration information of the N data packets in the control domain according to the M feature sets corresponding to the N data packets;

[0231] perform the above operations until the transmission of the N data packets in the digital twin wireless communication system all meets the transmission requirement.

[0232] In some embodiments, the processing module 404 is configured to:

[0233] determine transmission resources of the N data packets according to the M configuration information of the N data packets, and transmit the N data packets on the transmission resources.

[0234] In some embodiments, the communication module 405 is configured to:

[0235] send the M configuration information of the N data packets to the second node through the first node; or

[0236] send the M configuration information of the N data packets directly to the second node.

[0237] In some embodiments, the wireless communication system comprises an information controller, the information controller being located in at least one of a base station, a core network and a third-party server, and the information controller being configured to perform the method described in any of the above embodiments or examples.

[0238] For more details of the above-mentioned obtaining module 401, first determining module 402, second determining module 403, processing module 404 and communication module 405, and more details of various technical features therein, and descriptions of beneficial effects, etc., please refer to the corresponding method embodiment part above, which will not be repeated here.

[0239] It should be noted that the modules in FIG. 4 can also be referred to as units, for example, the communication module can be referred to as a communication unit. In addition, in the embodiment shown in FIG. 4, the name of each module can not be the name shown in the figure, for example, the communication module can also be referred to as a sending module or a receiving module.

[0240] Each unit or module in FIG. 4, if implemented in the form of a software functional module and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present disclosure, essentially or in other words, the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor execute all or part of the steps of the embodiments of the present disclosure. The storage medium storing the computer software product includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0241] In the case of implementing the functions of the above-mentioned integrated modules in the form of hardware, the embodiments of the present disclosure also provide a structure of a communication device for executing the information processing method of intelligent multi-domain efficient collaboration provided by the embodiments of the present disclosure. As shown in FIG. 5, the communication device 500 includes a communication interface 503, a processor 502 and a bus 504. Exemplarily, the communication device can also include a memory 501.

[0242] The processor 502 can implement or execute various exemplary logical blocks, modules and circuits described in combination with the embodiments of the present disclosure. The processor 502 can be a central processor, a general processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, transistor logic device, hardware component or any combination thereof, which can implement or execute various exemplary logical blocks, modules and circuits described in combination with the embodiments of the present disclosure. The processor 502 can also be a combination of computing functions, such as one or more microprocessor combinations, DSP and microprocessor combinations, etc.

[0243] The communication interface 503 is configured to connect with other devices through a communication network. The communication network can be an Ethernet, a wireless access network, a wireless local area network (WLAN), or the like.

[0244] The memory 501 can be a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited thereto.

[0245] As an implementation manner, the memory 501 can exist independently of the processor 502, and the memory 501 can be connected with the processor 502 through the bus 504, for storing instructions or program codes. When the processor 502 invokes and executes the instructions or program codes stored in the memory 501, the intelligent multi-domain efficient collaborative information processing method provided by the embodiments of the present disclosure can be implemented.

[0246] In another implementation manner, the memory 501 can also be integrated with the processor 502.

[0247] The bus 504 can be an extended industry standard architecture (EISA) bus or the like. The bus 504 can be divided into an address bus, a data bus, a control bus, and the like. For the convenience of representation, only one thick line is shown in FIG. 5, but it does not mean that there is only one bus or only one type of bus.

[0248] Some embodiments of the present disclosure provide a computer-readable storage medium (for example, a non-transitory computer-readable storage medium) having computer program instructions stored therein, and the computer program instructions, when executed on a computer, cause the computer to execute the intelligent multi-domain efficient collaborative information processing method described in any one of the above embodiments.

[0249] In an exemplary implementation manner, the computer can be the intelligent multi-domain efficient collaborative information processing apparatus described above, and the embodiments of the present disclosure do not limit the form of the computer.

[0250] In some examples, the aforementioned computer readable storage medium can include, but is not limited to, a magnetic storage device (e.g., hard disk, floppy disk, magnetic strips, etc.), an optical disk (e.g., compact disk (CD), digital versatile disk (DVD), etc.), a smart card, and a flash memory device (e.g., card, stick, or key drive, etc.). The various computer readable storage media described in the present disclosure can represent one or more devices and / or other machine-readable storage media for storing information. The term "machine-readable storage medium" can include, without being limited to, a wireless channel and various other media capable of storing, containing, and / or carrying instructions and / or data.

[0251] The embodiments of the present disclosure provide a computer program product containing instructions, which, when executed on a computer, cause the computer to perform the intelligent multi-domain efficient collaboration information processing method described in any of the above embodiments.

[0252] The above is merely specific embodiments of the present disclosure, but the protection scope of the present disclosure is not limited thereto, and any changes or replacements within the technical scope disclosed by the present disclosure should be covered within the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be subject to the protection scope of the claims.

Claims

1. A method for intelligent multi-domain efficient collaboration information processing, wherein, The method is applied to a wireless communication system, and the method comprises: Obtaining N data packets generated by an application domain; According to the N data packets, determining M feature sets corresponding to the N data packets, each feature set comprising at least one of the following features: spectral efficiency requirement, transmission delay requirement, reliability requirement, capacity requirement, energy efficiency requirement, and quality of service requirement; In the control domain, according to the M feature sets corresponding to the N data packets, determining M configuration information of the N data packets, each configuration information comprising signal domain configuration information and resource domain configuration information; According to the M configuration information of the N data packets and intelligent technology, processing the N data packets, N and M being positive integers.

2. The method of claim 1, wherein, The N data packets correspond to K different application domain services, each application domain service comprising at least one of the following: game service, voice service, long video service, short video service, picture service, payment service, positioning service, chat service, webpage service, high-definition video, virtual reality, augmented reality, mixed reality, and perception service, wherein K is a positive integer and K is less than or equal to N.

3. The method of claim 1, wherein, The signal domain configuration information comprises at least one of the following: carrier frequency, carrier aggregation mode, modulation mode, demodulation reference signal configuration information, channel state information reference signal configuration information, multiplexing mode, multi-antenna mode, and information processing mode.

4. The method of claim 1, wherein, The resource domain configuration information comprises at least one of the following: time domain resource configuration information, frequency domain resource configuration information, space domain resource configuration information, code domain resource configuration information, computing power resource configuration information, storage resource configuration information, first node set, and second node set.

5. The method of claim 1, wherein, According to the N data packets, determining the M feature sets corresponding to the N data packets comprises: According to a feature parameter of each data packet in the N data packets, determining the M feature sets corresponding to the N data packets, the feature parameter comprising at least one of the following: quality of service of the data packet, size of the data packet, and generation frequency of the data packet.

6. The method of claim 5, wherein, According to the feature parameter of each data packet in the N data packets, determining the M feature sets corresponding to the N data packets comprises: Inputting the feature parameter of each data packet in the N data packets into an artificial intelligence model to obtain the M feature sets corresponding to the N data packets, part of layers of the artificial intelligence model comprising at least one of the following: at least one residual block, at least one dense block, at least one long short-term memory network, at least one encoder, and at least one decoder.

7. The method of claim 1, wherein, According to the N data packets, determining the M feature sets corresponding to the N data packets comprises: In a case where the number of feature sets corresponding to the N data packets is greater than N, performing a merging operation on a plurality of feature sets according to a similarity distance between the feature sets corresponding to the N data packets until the number of the feature sets is less than or equal to N, to obtain the M feature sets.

8. The method of claim 1, wherein, According to the M feature sets corresponding to the N data packets, determining the M configuration information of the N data packets comprises: In a case that M is equal to N, configuration information of the ith data packet is determined according to the feature set of the ith data packet, where i is a non-negative integer less than or equal to M.

9. The method of claim 8, wherein, The configuration information of the ith data packet is determined according to the feature set of the ith data packet, including: The feature set of the ith data packet is input into an artificial intelligence model to obtain the configuration information of the ith data packet.

10. The method of claim 8, wherein, The configuration information of the ith data packet is determined according to the feature set of the ith data packet, including: At least one feature in the feature set of the ith data packet is determined to belong to a feature combination to which the feature set of the ith data packet belongs; The configuration information of the ith data packet is determined according to the feature combination of the ith data packet, and a corresponding relationship between the feature combination and the configuration information is predefined.

11. The method of claim 1, wherein, The M configuration information of the N data packets is determined according to the M feature sets corresponding to the N data packets, including: The M configuration information of the N data packets is determined according to the M feature sets corresponding to the N data packets and the capability of the communication system; wherein the capability of the communication system includes at least one of the following: signal field capability of the communication system, resource field capability of the communication system.

12. The method of claim 11, wherein, The signal field capability of the communication system includes at least one of the following: whether the first node supports joint transmission, joint transmission type supported by the first node, whether the first node supports distributed precoding, maximum number of data streams transmitted by the first node, whether the first node supports repeated transmission, repeated transmission type supported by the first node, whether the second node supports multi-node joint reception, whether the second node supports repeated transmission, supported modulation mode, whether high frequency beamforming is supported, supported bandwidth size, whether artificial intelligence is supported, and model type of artificial intelligence.

13. The method of claim 11, wherein, The resource field capability of the communication system includes at least one of the following: computing resource capability, storage resource capability; wherein the computing resource capability includes at least one of the following: number of supported graphic processing units, number of supported central processing units, type of supported graphic processing units, type of supported central processing units, size of remaining computing resource, data type and precision supported by hardware; the storage resource capability includes one of the following: memory size, number of registers, size of graphic processing unit memory, size of remaining storage resource.

14. The method of claim 11, wherein, The M configuration information of the N data packets is determined according to the M feature sets corresponding to the N data packets and the capability of the communication system, including: The M feature sets of the N data packets and the capability of the communication system are input into an artificial intelligence model to obtain the M configuration information of the N data packets.

15. The method of claim 14, wherein, The M feature sets of the N data packets and the capability of the communication system are input into the artificial intelligence model to obtain the M configuration information of the N data packets, including at least one of the following: The M feature sets of the N data packets and the signal field capability of the communication system are input into a first artificial intelligence model to obtain the M configuration information of the N data packets; inputting the M sets of features of the N data packets and resource capability of the communication system into a second artificial intelligence model to obtain the M configuration information of the N data packets; inputting the M sets of features of the N data packets, signal capability of the communication system and resource capability of the communication system into a third artificial intelligence model to obtain the M configuration information of the N data packets.

16. The method of claim 11, wherein, determining the M configuration information of the N data packets according to the M sets of features corresponding to the N data packets and capability of the communication system, comprising: for an i-th data packet of the N data packets, determining a feature and capability combination to which the i-th data packet belongs according to at least one feature of the set of features of the i-th data packet and capability of the communication system, wherein i is a positive integer less than or equal to N; determining configuration information of the i-th data packet according to the feature and capability combination to which the i-th data packet belongs, wherein a corresponding relationship between the feature and capability combination and the configuration information is predefined.

17. The method of claim 1, wherein, processing the N data packets according to the M configuration information of the N data packets and the intelligent technology, comprising: generating a digital twin wireless communication system simulating the application domain, the control domain and the signal domain, and simulating transmission of the N data packets in the digital twin wireless communication system according to the M configuration information of the N data packets; determining whether transmission of each data packet of the N data packets in the digital twin wireless communication system meets transmission requirements; if transmission of the N data packets in the digital twin wireless communication system all meets transmission requirements, determining that the M configuration information of the N data packets is final M configuration information; if transmission of at least one data packet of the N data packets in the digital twin wireless communication system does not meet transmission requirements, determining and updating the M configuration information of the N data packets in the control domain according to the M sets of features corresponding to the N data packets; performing the above operations until transmission of the N data packets in the digital twin wireless communication system all meets transmission requirements.

18. The method of claim 1, wherein, processing the N data packets according to the M configuration information of the N data packets and the intelligent technology, comprising: determining transmission resources of the N data packets according to the M configuration information of the N data packets, and transmitting the N data packets on the transmission resources.

19. The method of claim 1, wherein, The method further comprises: sending the M configuration information of the N data packets to a second node through a first node; or sending the M configuration information of the N data packets directly to a second node.

20. The method of claim 1, wherein, The wireless communication system comprises an information controller, wherein the information controller is located in at least one of a base station, a core network and a third-party server, and the information controller is configured to perform the method according to any one of claims 1 to 19.

21. A communications device, wherein, The communication apparatus comprises a memory and a processor; the memory and the processor are coupled; the memory is used to store instructions executable by the processor; the processor executes the instructions to perform the method according to any one of claims 1-20.

22. A computer readable storage medium, wherein, The computer readable storage medium stores computer instructions, and when the computer instructions run on the communication apparatus, the communication apparatus performs the method according to any one of claims 1-20.

23. A computer program product, wherein, When the computer program product is executed, the method according to any one of claims 1-20 is implemented.

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