WO2022158838A1

WO2022158838A1 - Electronic device and data processing method of electronic device

Info

Publication number: WO2022158838A1
Application number: PCT/KR2022/000959
Authority: WO
Inventors: 박선준; 서지환; 오범석; 오세원
Original assignee: 삼성전자 주식회사
Priority date: 2021-01-19
Filing date: 2022-01-19
Publication date: 2022-07-28
Also published as: KR20220104868A

Abstract

An electronic device according to various embodiments comprises a processor, a memory, and a communication module, wherein the processor may: analyze a packet to identify characteristics of the packet; determine whether or not it is an initial packet processing operation, on the basis of the characteristics of the packet; if it is the initial packet processing operation, process the packet on the basis of a rule list defined in a packet forwarding control protocol (PFCP) session; and generate rule data for each packet flow and store the generated rule data in the memory.

Description

Electronic devices and methods of data processing in electronic devices

Various embodiments of the present disclosure relate to an electronic device and a data processing method of the electronic device.

A user plane function provides a function of routing and transmitting a user packet between a base station and a data network (DN) and connectivity between the terminal and the DN. The user plane function filters packets for each user in order to forward the packets received from the terminal to the data network or to deliver the packets received from the data network to the terminal.

An electronic device and a data processing method of an electronic device according to various embodiments of the present disclosure have an object to quickly process data received through a user plane function.

An electronic device according to various embodiments may include a processor; Memory; and a communication module, wherein the processor analyzes a packet to determine a characteristic of the packet, determines whether it is an initial packet processing operation based on the characteristic of the packet, and, if the initial packet processing operation, a PFCP session (packet The packet may be processed based on a rule list defined in a forwarding control protocol session, and rule data may be generated for each packet flow and stored in the memory.

According to various embodiments of the present disclosure, a data processing method of an electronic device may include analyzing a packet to check a characteristic of the packet; determining whether it is an initial packet processing operation based on the characteristics of the packet; processing the packet based on a rule list defined in a packet forwarding control protocol session (PFCP); and generating rule data for each packet flow and storing the rule data in the memory.

The electronic device and the data processing method of the electronic device according to various embodiments of the present disclosure sequentially process packets received by a user plane function, thereby improving the packet processing speed.

1 is a block diagram of an electronic device in a network environment according to various embodiments of the present disclosure;

2 is a flowchart illustrating a data processing method of an electronic device according to various embodiments of the present disclosure;

3 is a diagram illustrating a method of generating rule data and processing a packet using the rule data according to various embodiments of the present disclosure.

4 is a diagram illustrating rule data generation on a user plane function according to various embodiments of the present disclosure.

5 is a diagram illustrating packet processing using rule data on a user plane function according to various embodiments of the present disclosure;

1 is a block diagram of an electronic device 101 in a network environment 100, according to various embodiments. Referring to FIG. 1 , in a network environment 100 , an electronic device 101 communicates with an electronic device 102 through a first network 198 (eg, a short-range wireless communication network) or a second network 199 . It may communicate with at least one of the electronic device 104 and the server 108 through (eg, a long-distance wireless communication network). According to an embodiment, the electronic device 101 may communicate with the electronic device 104 through the server 108 . According to an embodiment, the electronic device 101 includes a processor 120 , a memory 130 , an input module 150 , a sound output module 155 , a display module 160 , an audio module 170 , and a sensor module ( 176), interface 177, connection terminal 178, haptic module 179, camera module 180, power management module 188, battery 189, communication module 190, subscriber identification module 196 , or an antenna module 197 . In some embodiments, at least one of these components (eg, the connection terminal 178 ) may be omitted or one or more other components may be added to the electronic device 101 . In some embodiments, some of these components (eg, sensor module 176 , camera module 180 , or antenna module 197 ) are integrated into one component (eg, display module 160 ). can be

The processor 120, for example, executes software (eg, a program 140) to execute at least one other component (eg, a hardware or software component) of the electronic device 101 connected to the processor 120. It can control and perform various data processing or operations. According to one embodiment, as at least part of data processing or operation, the processor 120 converts commands or data received from other components (eg, the sensor module 176 or the communication module 190 ) to the volatile memory 132 . may be stored in , process commands or data stored in the volatile memory 132 , and store the result data in the non-volatile memory 134 . According to an embodiment, the processor 120 is a main processor 121 (eg, a central processing unit or processor) or a secondary processor 123 (eg, a graphics processing unit, a neural network processing unit (NPU) that can operate independently or together with the main processor 121 ). : neural processing unit), image signal processor, sensor hub processor, or communication processor). For example, when the electronic device 101 includes the main processor 121 and the sub-processor 123 , the sub-processor 123 uses less power than the main processor 121 or is set to be specialized for a specified function. can The auxiliary processor 123 may be implemented separately from or as a part of the main processor 121 .

The secondary processor 123 may, for example, act on behalf of the main processor 121 while the main processor 121 is in an inactive (eg, sleep) state, or when the main processor 121 is active (eg, executing an application). ), together with the main processor 121, at least one of the components of the electronic device 101 (eg, the display module 160, the sensor module 176, or the communication module 190) It is possible to control at least some of the related functions or states. According to an embodiment, the coprocessor 123 (eg, an image signal processor or a communication processor) may be implemented as part of another functionally related component (eg, the camera module 180 or the communication module 190 ). have. According to an embodiment, the auxiliary processor 123 (eg, a neural network processing device) may include a hardware structure specialized for processing an artificial intelligence model. Artificial intelligence models can be created through machine learning. Such learning may be performed, for example, in the electronic device 101 itself on which the artificial intelligence model is performed, or may be performed through a separate server (eg, the server 108). The learning algorithm may include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but in the above example not limited The artificial intelligence model may include a plurality of artificial neural network layers. Artificial neural networks include deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), restricted boltzmann machines (RBMs), deep belief networks (DBNs), bidirectional recurrent deep neural networks (BRDNNs), It may be one of deep Q-networks or a combination of two or more of the above, but is not limited to the above example. The artificial intelligence model may include, in addition to, or alternatively, a software structure in addition to the hardware structure.

The memory 130 may store various data used by at least one component (eg, the processor 120 or the sensor module 176 ) of the electronic device 101 . The data may include, for example, input data or output data for software (eg, the program 140 ) and instructions related thereto. The memory 130 may include a volatile memory 132 or a non-volatile memory 134 .

The program 140 may be stored as software in the memory 130 , and may include, for example, an operating system 142 , middleware 144 , or an application 146 .

The input module 150 may receive a command or data to be used by a component (eg, the processor 120 ) of the electronic device 101 from the outside (eg, a user) of the electronic device 101 . The input module 150 may include, for example, a microphone, a mouse, a keyboard, a key (eg, a button), or a digital pen (eg, a stylus pen).

The sound output module 155 may output a sound signal to the outside of the electronic device 101 . The sound output module 155 may include, for example, a speaker or a receiver. The speaker can be used for general purposes such as multimedia playback or recording playback. The receiver can be used to receive incoming calls. According to one embodiment, the receiver may be implemented separately from or as part of the speaker.

The display module 160 may visually provide information to the outside (eg, a user) of the electronic device 101 . The display module 160 may include, for example, a control circuit for controlling a display, a hologram device, or a projector and a corresponding device. According to an embodiment, the display module 160 may include a touch sensor configured to sense a touch or a pressure sensor configured to measure the intensity of a force generated by the touch.

The audio module 170 may convert a sound into an electric signal or, conversely, convert an electric signal into a sound. According to an embodiment, the audio module 170 acquires a sound through the input module 150 , or an external electronic device (eg, a sound output module 155 ) connected directly or wirelessly with the electronic device 101 . The electronic device 102) (eg, a speaker or headphones) may output a sound.

The sensor module 176 detects an operating state (eg, power or temperature) of the electronic device 101 or an external environmental state (eg, a user state), and generates an electrical signal or data value corresponding to the sensed state. can do. According to an embodiment, the sensor module 176 may include, for example, a gesture sensor, a gyro sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a biometric sensor, It may include a temperature sensor, a humidity sensor, or an illuminance sensor.

The interface 177 may support one or more specified protocols that may be used by the electronic device 101 to directly or wirelessly connect with an external electronic device (eg, the electronic device 102 ). According to an embodiment, the interface 177 may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

The connection terminal 178 may include a connector through which the electronic device 101 can be physically connected to an external electronic device (eg, the electronic device 102 ). According to an embodiment, the connection terminal 178 may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (eg, a headphone connector).

The haptic module 179 may convert an electrical signal into a mechanical stimulus (eg, vibration or movement) or an electrical stimulus that the user can perceive through tactile or kinesthetic sense. According to an embodiment, the haptic module 179 may include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

The camera module 180 may capture still images and moving images. According to an embodiment, the camera module 180 may include one or more lenses, image sensors, image signal processors, or flashes.

The power management module 188 may manage power supplied to the electronic device 101 . According to an embodiment, the power management module 188 may be implemented as, for example, at least a part of a power management integrated circuit (PMIC).

The battery 189 may supply power to at least one component of the electronic device 101 . According to one embodiment, battery 189 may include, for example, a non-rechargeable primary cell, a rechargeable secondary cell, or a fuel cell.

The communication module 190 is a direct (eg, wired) communication channel or a wireless communication channel between the electronic device 101 and an external electronic device (eg, the electronic device 102, the electronic device 104, or the server 108). It can support establishment and communication performance through the established communication channel. The communication module 190 may include one or more communication processors that operate independently of the processor 120 (eg, an application processor) and support direct (eg, wired) communication or wireless communication. According to one embodiment, the communication module 190 is a wireless communication module 192 (eg, a cellular communication module, a short-range communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module 194 (eg, : It may include a local area network (LAN) communication module, or a power line communication module). A corresponding communication module among these communication modules is a first network 198 (eg, a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network 199 (eg, legacy It may communicate with the external electronic device 104 through a cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (eg, a telecommunication network such as a LAN or a WAN). These various types of communication modules may be integrated into one component (eg, a single chip) or may be implemented as a plurality of components (eg, multiple chips) separate from each other. The wireless communication module 192 uses subscriber information (eg, International Mobile Subscriber Identifier (IMSI)) stored in the subscriber identification module 196 within a communication network such as the first network 198 or the second network 199 . The electronic device 101 may be identified or authenticated.

The wireless communication module 192 may support a 5G network after a 4G network and a next-generation communication technology, for example, a new radio access technology (NR). NR access technology includes high-speed transmission of high-capacity data (eMBB (enhanced mobile broadband)), minimization of terminal power and access to multiple terminals (mMTC (massive machine type communications)), or high reliability and low latency (URLLC (ultra-reliable and low-latency) -latency communications)). The wireless communication module 192 may support a high frequency band (eg, mmWave band) to achieve a high data rate, for example. The wireless communication module 192 uses various techniques for securing performance in a high-frequency band, for example, beamforming, massive multiple-input and multiple-output (MIMO), all-dimensional multiplexing. It may support technologies such as full dimensional MIMO (FD-MIMO), an array antenna, analog beam-forming, or a large scale antenna. The wireless communication module 192 may support various requirements defined in the electronic device 101 , an external electronic device (eg, the electronic device 104 ), or a network system (eg, the second network 199 ). According to an embodiment, the wireless communication module 192 may include a peak data rate (eg, 20 Gbps or more) for realizing eMBB, loss coverage (eg, 164 dB or less) for realizing mMTC, or U-plane latency for realizing URLLC ( Example: Downlink (DL) and uplink (UL) each 0.5 ms or less, or round trip 1 ms or less) can be supported.

The antenna module 197 may transmit or receive a signal or power to the outside (eg, an external electronic device). According to an embodiment, the antenna module 197 may include an antenna including a conductor formed on a substrate (eg, a PCB) or a radiator formed of a conductive pattern. According to an embodiment, the antenna module 197 may include a plurality of antennas (eg, an array antenna). In this case, at least one antenna suitable for a communication method used in a communication network such as the first network 198 or the second network 199 is connected from the plurality of antennas by, for example, the communication module 190 . can be selected. A signal or power may be transmitted or received between the communication module 190 and an external electronic device through the selected at least one antenna. According to some embodiments, other components (eg, a radio frequency integrated circuit (RFIC)) other than the radiator may be additionally formed as a part of the antenna module 197 .

According to various embodiments, the antenna module 197 may form a mmWave antenna module. According to one embodiment, the mmWave antenna module comprises a printed circuit board, an RFIC disposed on or adjacent to a first side (eg, bottom side) of the printed circuit board and capable of supporting a designated high frequency band (eg, mmWave band); and a plurality of antennas (eg, an array antenna) disposed on or adjacent to a second side (eg, top or side) of the printed circuit board and capable of transmitting or receiving signals of the designated high frequency band. can do.

At least some of the components are connected to each other through a communication method between peripheral devices (eg, a bus, general purpose input and output (GPIO), serial peripheral interface (SPI), or mobile industry processor interface (MIPI)) and a signal ( e.g. commands or data) can be exchanged with each other.

According to an embodiment, the command or data may be transmitted or received between the electronic device 101 and the external electronic device 104 through the server 108 connected to the second network 199 . Each of the external

electronic devices

102 or 104 may be the same as or different from the electronic device 101 . According to an embodiment, all or a part of operations executed in the electronic device 101 may be executed in one or more external

electronic devices

102 , 104 , or 108 . For example, when the electronic device 101 needs to perform a function or service automatically or in response to a request from a user or other device, the electronic device 101 may perform the function or service itself instead of executing the function or service itself. Alternatively or additionally, one or more external electronic devices may be requested to perform at least a part of the function or the service. One or more external electronic devices that have received the request may execute at least a part of the requested function or service, or an additional function or service related to the request, and transmit a result of the execution to the electronic device 101 . The electronic device 101 may process the result as it is or additionally and provide it as at least a part of a response to the request. For this purpose, for example, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used. The electronic device 101 may provide an ultra-low latency service using, for example, distributed computing or mobile edge computing. In another embodiment, the external electronic device 104 may include an Internet of things (IoT) device. The server 108 may be an intelligent server using machine learning and/or neural networks. According to an embodiment, the external electronic device 104 or the server 108 may be included in the second network 199 . The electronic device 101 may be applied to an intelligent service (eg, smart home, smart city, smart car, or health care) based on 5G communication technology and IoT-related technology.

2 is a flowchart illustrating a data processing method of the electronic device 101 according to various embodiments of the present disclosure.

In operation 201 , the electronic device 101 may analyze the packet under the control of the processor 120 to determine the characteristics of the packet.

The electronic device 101 may be a device that performs a user plane function (UPF).

The electronic device 101 may route and transmit a user packet between a base station and a data network (DN), and may provide connectivity between a terminal (eg, a mobile phone) and a data network.

The electronic device 101 may receive from a terminal or a data network through the communication module 190 . The electronic device 101 may process the received packet and transmit it from the terminal or the data network.

In an embodiment, in operation 201 , the electronic device 101 analyzes a packet received through the communication module 190 under the control of the processor 120 to determine the characteristics of the packet.

The electronic device 101 may analyze a header and/or a payload of the received packet under the control of the processor 120 to check the characteristics of the received packet.

In an embodiment, in operation 201 , the electronic device 101 analyzes the received packet under the control of the processor 120 to determine whether the packet is an initially processed packet. In an initial packet processing process, the electronic device 101 may generate an index by using the header of the received packet. The electronic device 101 may access rule data allocated for each packet flow based on the index.

The electronic device 101 may generate a flow number for a header of a received packet using a hash function under the control of the processor 120 and use the flow number as an index.

In operation 203 , the electronic device 101 may determine whether it is the first packet processing operation under the control of the processor 120 .

The electronic device 101 may branch from operation 203 to operation 205 if it is the first packet processing operation under the control of the processor 120 .

The electronic device 101 may branch from operation 203 to operation 209 if it is not the first packet processing operation under the control of the processor 120 .

In an embodiment, the electronic device 101 may determine whether the packet is the first processed packet by checking the header of the received packet under the control of the processor 120 .

In an embodiment, if the flow number and/or index is not checked by analyzing the header of the received packet under the control of the processor 120 , the electronic device 101 may branch from operation 203 to operation 207 .

In an embodiment, when the flow number and/or index are checked by analyzing the header of the received packet under the control of the processor 120 , the electronic device 101 may branch from operation 203 to operation 209 .

In operation 205 , the electronic device 101 may process a packet based on a rule list defined in a packet forwarding control protocol session (PFCP) under the control of the processor 120 .

The electronic device 101 may lookup the PFCP session of the received packet under the control of the processor 120 . The PFCP session may be stored in advance in a storage device (eg, the memory 130 ).

The electronic device 101 traverses a packet detection rule (PDR) list defined in the PFCP session under the control of the processor 120 , compares packet detection information (PDI) of the PDR with the header of the received packet to match At least one packet detection rule (PDR) may be found (lookup). The electronic device 101 may select a PDR having the highest precedence among at least one or more PDRs under the control of the processor 120 . A packet detection rule (PDR) may define a method for identifying a packet.

The electronic device 101 may search for at least one forwarding action rule (FAR) in a forwarding action rule (FAR) list based on at least one or more packet detection rules (PDRs) under the control of the processor 120 . A forwarding action rule (FAR) may define a method for forwarding a packet.

In an embodiment, the electronic device 101 matches at least one packet detection rule (PDR) in a forwarding action rule (FAR) list under the control of the processor 120. At least one forwarding action rule (FAR). can be found

The electronic device 101 may find at least one or more buffering action rules (BARs) from a buffering action rule (BAR) list based on at least one or more packet detection rules (PDRs) under the control of the processor 120 . A buffering action rule (BAR) may define a method of processing a packet.

In an embodiment, the electronic device 101 matches at least one packet detection rule (PDR) in a buffering action rule (BAR) list under the control of the processor 120. At least one buffering action rule (BAR). can be found

The electronic device 101 may search for at least one QoS enforcement rule (QER) from a QoS enforcement rule (QER) list based on at least one or more packet detection rules (PDRs) under the control of the processor 120 . A QoS enforcement rule (QER) may define a method for marking a packet.

In an embodiment, the electronic device 101, under the control of the processor 120 , at least one QoS enforcement rule (QER) matching at least one packet detection rule (PDR) in a QoS enforcement rule (QER) list can be found

The electronic device 101 may search for at least one usage reporting rule (URR) from a usage reporting rule (URR) list based on at least one or more packet detection rules (PDRs) under the control of the processor 120 . A usage reporting rule (URR) may define a method for reporting packet transmission.

In an embodiment, the electronic device 101 matches at least one packet detection rule (PDR) in a usage reporting rule (URR) list under the control of the processor 120. At least one usage reporting rule (URR). can be found

In an embodiment, the electronic device 101, under the control of the processor 120, at least one or more forwarding action rule (FAR) matching at least one or more packet detection rule (PDR), at least one or more buffering action rule (BAR) ), at least one QoS enforcement rule (QER), and/or at least one or more usage reporting rule (URR).

In an embodiment, the electronic device 101, under the control of the processor 120 , in operation 205 , a parameter defined in a found rule (eg, PDR, FAR, BAR, QER, URR) It is possible to process the received packet based on

In one embodiment, the memory 130 (eg, volatile memory or RAM) includes PDRs included in a PDR list, FARs included in a FAR list, BARs included in a BAR list, QERs included in a QER list. And/or it is possible to sequentially store the URRs included in the URR list. The memory 130 (eg, volatile memory or RAM) stores parameters included in PDR, parameters included in FAR, parameters included in BAR, parameters included in QER, and/or parameters included in URR. They can be stored sequentially.

In one embodiment, the electronic device 101, under the control of the processor 120, in operation 205, a parameter defined in a rule (eg, PDR, FAR, BAR, QER, URR) You can access them out of sequence.

In operation 207 , the electronic device 101 may generate and store rule data for each packet flow under the control of the processor 120 .

The electronic device 101, under the control of the processor 120, discovers a rule (eg, PDR, FAR, BAR, QER, URR) corresponding to the received packet, and determines the parameters defined in the rule. may be sequentially stored to generate rule data.

In an embodiment, in operation 207 , the electronic device 101 may allocate rule data for each packet flow and sequentially store the rule data in the memory 130 under the control of the processor 120 . Rule data may be cached in the memory 130 .

In an embodiment, in operation 207 , the electronic device 101 may manage rule data sequentially stored in the memory 130 through a separate manager under the control of the processor 120 . The manager may be a rule memory manager. The administrator may store and manage not only rule data but also indexes and/or flow numbers for accessing rule data.

In operation 209 , the electronic device 101 may process a packet based on stored rule data under the control of the processor 120 .

In an embodiment, if it is not the initial packet processing operation, in operation 209 , the electronic device 101 may process the packet based on stored rule data under the control of the processor 120 .

In an embodiment, if the electronic device 101 can check the flow number and/or index with respect to the received packet in operation 209 , the electronic device 101 processes the packet based on rule data stored in the memory 130 . can do.

The electronic device 101 may classify and store rule data in the memory 130 under the control of the processor 120 , and may access the stored rule data for each of a plurality of packet processing components. For example, rule data may be classified and stored in the first core of the memory 130 . In this case, the first packet processing element may process the packet using the first core of the memory 130 . In the second core of the memory 130 , rule data may be classified and stored. In this case, the second packet processing element may process the packet using the second core of the memory 130 .

The electronic device 101 may check the flow number and/or index from a rule memory manager under the control of the processor 120 . The electronic device 101 may distribute the received packet based on the flow number and/or index and transmit it to a packet processing component under the control of the processor 120 .

The electronic device 101 may transmit the received packet to a packet processing component using a packet distribute component under the control of the processor 120 .

The memory 130 may store the rule lists 301 and 303 defined in a PFCP session (packet forwarding control protocol session) and the generated rule data 305 .

For example, the memory 130 is a list of rules defined in a packet forwarding control protocol session (PFCP), and may include a PDR list 301 and a FAR list 303 . If the received packet is a packet processed first by the electronic device 101, when accessing rules (eg, PDR 307, FAR 309) and parameters matching the rule lists 301 and 303 can be accessed out of sequence. The electronic device 101 may generate rule data 311 in which rules (eg, PDR, FAR) and parameters are sequentially recorded for each packet flow, and may be stored in the memory 130 . The electronic device 101 may check the flow number and/or index with respect to the received packet and process it using the rule data 311 .

The electronic device 101 may perform a user plane function 401 . The user plane function 401 may include a packet processing component 403 , a memory 130 and a rule memory manager 405 .

The packet processing element 403 may process the packet through a plurality of

packet processing steps

4031 , 4032 , 4033 , 4034 . In the plurality of

packet processing steps

4031 , 4032 , 4033 , and 4034 , the packet may be processed by accessing parameters defined in the rule. Rules are stored in memory 130 and may include, for example, PDR 411 , FAR 412 , BAR 413 , QER 414 and/or URR 415 .

In one embodiment, the memory 130 may store the BAR list 421 , the URR list 422 , the PDR list 421 , the FAR list 424 , and/or the QER list 425 . The electronic device 101 uses the rules included in the BAR list 421 , the URR list 422 , the PDR list 421 , the FAR list 424 and/or the QER list 425 as rule data while processing the packet. It can be stored for each packet flow. The rule memory manager 405 may store and manage rule data.

The user plane function 401 may include a packet distribute component 501 , a plurality of

packet processing components

503 , 505 , 507 , and a rule memory manager 405 . .

The electronic device 101 classifies and stores rule data, and may access rule data stored for each of a plurality of packet processing components. For example, rule data may be classified and stored in the first core of the memory 130 . In this case, the first packet processing element 503 may process the packet using the first core of the memory 130 . In the second core of the memory 130 , rule data may be classified and stored. In this case, the second packet processing element 505 may process the packet using the second core of the memory 130 . In the third core of the memory 130 , rule data may be classified and stored. In this case, the third packet processing element 507 may process the packet using the third core of the memory 130 .

The packet distribute component 501 may check the flow number and/or index from a rule memory manager. The packet distribution component ( 501 ) may distribute the received packet based on the flow number and/or index and deliver it to the packet processing component ( 503 , 505 , 507 ).

The electronic device according to various embodiments disclosed in this document may have various types of devices. The electronic device may include, for example, a portable communication device (eg, a smart phone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, or a home appliance device. The electronic device according to the embodiment of the present document is not limited to the above-described devices.

The various embodiments of this document and the terms used therein are not intended to limit the technical features described in this document to specific embodiments, and should be understood to include various modifications, equivalents, or substitutions of the embodiments. In connection with the description of the drawings, like reference numerals may be used for similar or related components. The singular form of the noun corresponding to the item may include one or more of the item, unless the relevant context clearly dictates otherwise. As used herein, "A or B", "at least one of A and B", "at least one of A or B", "A, B or C", "at least one of A, B and C", and "A , B, or C," each of which may include any one of the items listed together in the corresponding one of the phrases, or all possible combinations thereof. Terms such as "first", "second", or "first" or "second" may simply be used to distinguish an element from other elements in question, and may refer elements to other aspects (e.g., importance or order) is not limited. It is said that one (eg, first) component is “coupled” or “connected” to another (eg, second) component, with or without the terms “functionally” or “communicatively”. When referenced, it means that one component can be connected to the other component directly (eg by wire), wirelessly, or through a third component.

The term “module” used in various embodiments of this document may include a unit implemented in hardware, software, or firmware, and is interchangeable with terms such as, for example, logic, logic block, component, or circuit. can be used as A module may be an integrally formed part or a minimum unit or a part of the part that performs one or more functions. For example, according to an embodiment, the module may be implemented in the form of an application-specific integrated circuit (ASIC).

Various embodiments of the present document include one or more instructions stored in a storage medium (eg, internal memory 136 or external memory 138) readable by a machine (eg, electronic device 101). may be implemented as software (eg, the program 140) including For example, the processor (eg, the processor 120 ) of the device (eg, the electronic device 101 ) may call at least one of the one or more instructions stored from the storage medium and execute it. This makes it possible for the device to be operated to perform at least one function according to the called at least one command. The one or more instructions may include code generated by a compiler or code executable by an interpreter. The device-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-transitory' only means that the storage medium is a tangible device and does not contain a signal (eg, electromagnetic wave), and this term is used in cases where data is semi-permanently stored in the storage medium and It does not distinguish between temporary storage cases.

According to one embodiment, the method according to various embodiments disclosed in this document may be provided as included in a computer program product. Computer program products may be traded between sellers and buyers as commodities. The computer program product is distributed in the form of a machine-readable storage medium (eg compact disc read only memory (CD-ROM)), or via an application store (eg Play Store ^TM ) or on two user devices ( It can be distributed (eg downloaded or uploaded) directly or online between smartphones (eg: smartphones). In the case of online distribution, at least a part of the computer program product may be temporarily stored or temporarily created in a machine-readable storage medium such as a memory of a server of a manufacturer, a server of an application store, or a relay server.

According to various embodiments, each component (eg, a module or a program) of the above-described components may include a singular or a plurality of entities, and some of the plurality of entities may be separately disposed in other components. have. According to various embodiments, one or more components or operations among the above-described corresponding components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (eg, a module or a program) may be integrated into one component. In this case, the integrated component may perform one or more functions of each component of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. . According to various embodiments, operations performed by a module, program, or other component are executed sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations are executed in a different order, or omitted. , or one or more other operations may be added.

Claims

In an electronic device,

processor;

Memory; and

a communication module;

the processor

Analyze the packet to determine the characteristics of the packet,

It is determined whether it is the first packet processing operation based on the characteristics of the packet,

In the case of the initial packet processing operation, the packet is processed based on a rule list defined in a PFCP session (packet forwarding control protocol session),

An electronic device that generates rule data for each packet flow and stores it in the memory.
The method of claim 1,

the processor

If it is not the first packet processing operation, the electronic device processes a packet based on stored rule data.
The method of claim 1,

the processor

An electronic device for receiving the packet from a terminal or a data network through the communication module.
The method of claim 1,

the processor

An electronic device that analyzes a header and/or a payload of the packet to confirm characteristics of the packet.
5. The method of claim 4,

the processor

generating a flow number for the header of the packet using a hash function;

If the flow number does not exist, it is determined as the first packet processing operation,

If the flow number exists, the electronic device determines that the operation is not the first packet processing operation.
The method of claim 1,

the processor

While traversing the PDR (packet detection rule) list defined in the PFCP session, comparing the PDI (packet detection information) of the PDR with the header of the packet to find at least one matching PDR,

At least one or more forwarding action rule (FAR), at least one or more buffering action rule (BAR), at least one or more QoS enforcement rule (QER), and/or at least one or more usage reporting rule (URR) matching the at least one or more PDRs looking for,

An electronic device that processes the packet based on a parameter defined in the found rule.
7. The method of claim 6,

the processor

finding the rule corresponding to the packet;

The rule data is generated by sequentially storing the parameters defined in the rule,

classifying and storing the rule data in the memory, and controlling the packet to access rule data stored for each of a plurality of packet processing components;

An electronic device for controlling the packet to access the plurality of packet processing elements using a flow number and the packet distribute component.
In the data processing method of an electronic device,

analyzing the packet to check a characteristic of the packet;

determining whether it is an initial packet processing operation based on the characteristics of the packet;

processing the packet based on a rule list defined in a packet forwarding control protocol session (PFCP); and

A method comprising generating rule data for each packet flow and storing the rule data in the memory.
82. The method of claim 81,

If it is not the first packet processing operation, the method further comprising processing a packet based on stored rule data.
9. The method of claim 8,

The method further comprising receiving the packet from a terminal or a data network through the communication module.
9. The method of claim 8,

The operation of analyzing the packet and confirming the characteristics of the packet is

and analyzing a header and/or a payload of the packet to confirm characteristics of the packet.
12. The method of claim 11,

The method further comprising generating a flow number for the header of the packet using a hash function.
13. The method of claim 12,

The operation of determining whether it is the first packet processing operation based on the characteristics of the packet is

determining that the first packet processing operation is performed if the flow number does not exist; and

and determining that it is not the first packet processing operation if the flow number exists.
9. The method of claim 8,

In the case of the initial packet processing operation, the operation of processing the packet based on a rule list defined in a PFCP session (packet forwarding control protocol session) is

traversing a packet detection rule (PDR) list defined in the PFCP session, comparing packet detection information (PDI) of the PDR with the header of the packet to find at least one matching PDR;

At least one or more forwarding action rule (FAR), at least one or more buffering action rule (BAR), at least one or more QoS enforcement rule (QER), and/or at least one or more usage reporting rule (URR) matching the at least one or more PDRs locating action; and

The method further comprising processing the packet based on a parameter defined in the found rule.
15. The method of claim 14,

The operation of generating rule data for each packet flow and storing it in the memory is

finding the rule corresponding to the packet;

generating the rule data by sequentially storing the parameters defined in the rule;

classifying the rule data and storing the rule data in the memory;

accessing rule data stored by the packet for each of a plurality of packet processing components; and

and accessing the packet to the plurality of packet processing components using a flow number and the packet distribute component.