Uplink protocol, downlink protocol and device based on multiple access technology

Abstract

The invention relates to the technical field of artificial intelligence and communication, in particular to an uplink protocol, a downlink protocol, an uplink transmission device, a downlink transmission device, electronic equipment and a storage medium based on a multiple access technology. The specific implementation scheme is as follows: user sides perform feature extraction on to-be-transmitted first service information through respective first semantic coding models to obtain first semantic information; superposing the first semantic information extracted by the plurality of user sides in an air interface to obtain a first semantic superposed signal, and transmitting the first semantic superposed signal to a base station; and the base station inputs the received first semantic superposition signal into a plurality of corresponding first semantic decoding models, and performs semantic recovery through the plurality of first semantic decoding models to obtain a plurality of pieces of second service information. The semantic information to be transmitted is transmitted after being subjected to signal superposition in the air interface, so that the transmission bits are effectively reduced, and the communication cost is reduced.

Description

Technical Field

[0001] The present disclosure relates to the fields of artificial intelligence and communication technology, and in particular to an uplink protocol, a downlink protocol, an uplink transmission device, a downlink transmission device, an electronic device, and a storage medium based on multiple access technology. Background Art

[0002] From the first generation to the fifth generation of mobile communications, multiple access schemes have always been the representative technology of each generation of mobile communications and the key technology to distinguish the capacity of wireless systems. Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA) and Code Division Multiple Access (CDMA) in the 1G to 3G era avoid interference between users by allocating communication physical resources, and realize flexible allocation of time domain, frequency domain and code domain. In addition, multiple-input multiple-output technology creates spatial physical resources and produces space division multiple access (SDMA) technology. In the 4G era, orthogonal frequency division multiple access achieves more efficient utilization of frequency division multiple access by allocating carrier subsets to each user. In the 5G era, in order to further adjust the spectrum efficiency, power domain resources are allocated through non-orthogonal multiple access technology (NOMA), different powers are allocated to each user, and then superimposed transmission is performed, and the receiving end uses interference elimination technology to separate the superimposed signals received by each user. Summary of the invention

[0003] The present disclosure provides an uplink protocol, a downlink protocol, an uplink transmission device, a downlink transmission device, an electronic device, and a storage medium based on multiple access technology.

[0004] According to a first aspect of the present disclosure, an uplink protocol based on a multiple access technology is provided, which is applied to multiple user terminals transmitting first service information to the same base station, including:

[0005] Each of the user terminals extracts features of the first service information to be transmitted by using a respective first semantic coding model to obtain corresponding first semantic information;

[0006] Superimposing the first semantic information extracted by the plurality of the user terminals in an air interface to obtain a first semantic superposition signal;

[0007] Any one of the user terminals transmits the first semantic overlay signal to the base station;

[0008] The base station inputs the received first semantic overlay signal into the corresponding multiple first semantic decoding models, performs semantic recovery through the multiple first semantic decoding models, and obtains multiple second service information corresponding to the multiple first service information.

[0009] According to a second aspect of the present disclosure, a downlink protocol based on multiple access technology is provided, which is applied to the same base station to transmit third service information to multiple user terminals, and is characterized by comprising:

[0010] The base station extracts features of the third service information to be transmitted by using a second semantic coding model to obtain corresponding second semantic information;

[0011] The base station superimposes the extracted second semantic information in an air interface to obtain a second semantic superposition signal;

[0012] The base station transmits the second semantic overlay signal to the plurality of user terminals by using a semantic orthogonal multiple access mode;

[0013] Each of the user terminals inputs the received second semantic overlay signal into a corresponding second semantic decoding model, performs semantic recovery through the second semantic decoding model, and obtains fourth service information corresponding to the third service information.

[0014] According to a third aspect of the present disclosure, there is provided an uplink transmission device based on a multiple access technology, comprising:

[0015] A first semantic coding module is provided in the corresponding user terminal and is configured to extract features of the first service information to be transmitted through respective first semantic coding models to obtain corresponding first semantic information;

[0016] A first signal superposition module is provided in the user terminal and is configured to superimpose the first semantic information extracted by the plurality of user terminals in an air interface to obtain a first semantic superposition signal;

[0017] A first information transmission module, disposed in the user terminal, and configured to transmit the first semantic overlay signal to the base station;

[0018] The first semantic decoding module is arranged in the base station and is configured to input the received first semantic superposition signal into the corresponding multiple first semantic decoding models, perform semantic recovery through the multiple first semantic decoding models, and obtain multiple second business information corresponding to the multiple first business information.

[0019] According to a fourth aspect of the present disclosure, a downlink transmission device based on multiple access technology is provided, which is applied to the same base station to transmit third service information to multiple user terminals, including:

[0020] A second semantic coding module, provided in the base station, is configured to extract features of the third service information to be transmitted through a second semantic coding model to obtain corresponding second semantic information;

[0021] A second signal superposition module is provided in the base station and is configured to superimpose the extracted second semantic information in the air interface to obtain a second semantic superposition signal;

[0022] A second information transmission module, arranged in the base station, is configured to transmit the second semantic overlay signal to the plurality of user terminals through a semantic orthogonal multiple access mode;

[0023] The second semantic decoding module is arranged in the user terminal and is configured to input the received second semantic superposition signal into the corresponding second semantic decoding model, perform semantic recovery through the second semantic decoding model, and obtain fourth business information corresponding to the third business information.

[0024] According to a fifth aspect of the present disclosure, there is provided an electronic device, including:

[0025] at least one processor; and

[0026] a memory communicatively connected to the at least one processor; wherein,

[0027] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the uplink protocol or downlink protocol described in any one of the above technical solutions.

[0028] According to a sixth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the uplink protocol or downlink protocol described in any one of the above technical solutions.

[0029] According to a seventh aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the uplink protocol or downlink protocol described in any one of the above technical solutions.

[0030] The present invention provides an uplink protocol, a downlink protocol, an uplink transmission device, a downlink transmission device, an electronic device, and a storage medium based on multiple access technology. Before transmitting information between a base station and multiple users, the semantic information to be transmitted is superimposed on a signal in an air interface and then transmitted. The party receiving the superimposed signal does not need to separate the semantic superimposed signal, and can directly use its own semantic decoding model to decode it, thereby recovering the service information received by each party, effectively reducing the transmitted bits and lowering the communication cost.

[0031] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present disclosure, nor is it intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure.

[0033] Figure 1 is a diagram of execution steps of an uplink protocol based on multiple access technology in the first embodiment of the present disclosure;

[0034] Figure 2 is an execution flow chart of an uplink protocol based on multiple access technology in the first embodiment of the present disclosure;

[0035] Figure 3 is a diagram of execution steps of a downlink protocol based on multiple access technology in the second embodiment of the present disclosure;

[0036] Figure 4 is an execution flow chart of a downlink protocol based on multiple access technology in the second embodiment of the present disclosure;

[0037] Figure 5 is a principle block diagram of an uplink communication device based on multiple access technology in the third embodiment of the present disclosure;

[0038] Figure 6 is a principle block diagram of a downlink communication device based on multiple access technology in a fourth embodiment of the present disclosure;

[0039] Figure 7 It is a block diagram of an electronic device used to implement the communication protocol of the embodiment of the present disclosure. DETAILED DESCRIPTION

[0040] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0041] Terminology explanation:

[0042] Multi-access: multiple access. When multiple users are connected to a common transmission medium to communicate with each other, it is necessary to distinguish the users in a certain domain. Common domains of distinction include time domain, which distinguishes users by time; frequency domain, which distinguishes users by using frequency; and space domain, which distinguishes users by using space.

[0043] Time-frequency resources: When data is transmitted between the transmitter and receiver in a multiple access manner, the multiple devices participating in the transmission are divided into their own transmission intervals according to time division, frequency division, etc. When a device is assigned to a specific time domain interval and / or frequency domain interval, the time domain interval and / or frequency domain interval becomes the time-frequency resource available to the device. This means that the device performs multiple access transmission on the time-frequency resource.

[0044] Model Division Multiple Access: This case is distinguished by the semantics extracted by the model, which can be called semantic domain. This distinction method can be called model division multiple access, or model division multiple access (MDMA) for short. The specific semantic multiple access is described in detail below.

[0045] Business information: information involved in information business services. Depending on the type of information, it can be subdivided into text business information, image business information, voice business information, video business information, point cloud business information, etc. It can also be subdivided into structured information and unstructured information. It can also be all possible types of business information transmitted by communication.

[0046] Semantic coding: semantic information contained in business information. According to different semantic types, it can be subdivided into text semantic coding, image semantic coding, audio semantic coding, video semantic coding, point cloud semantic coding, etc. The possible categories of semantic coding are related to the possible categories of business information, and can be all possible types of semantic coding for communication transmission. The generation of semantic coding is also related to the semantic coding model, which can adopt all possible models of artificial intelligence, deep learning, pattern recognition and other disciplines.

[0047] Semantic multiple access: After converting the service information to be transmitted into semantic codes, the semantic codes are split into a common part and an individual part, and the common part and the individual part corresponding to each semantic code are transmitted to perform multiple access transmission.

[0048] Joint Source Channel Coding: Joint Channel Source Coding (JSCC) is an important technology in semantic communication. The classic JSCC strategy is based on the statistical probability of the source and ignores its semantic characteristics.

[0049] Common part: after multiple business information is converted into multiple semantic codes, the common part obtained by superimposing multiple semantic codes on the semantic domain.

[0050] Personalized part: After the business information is converted into semantic code, the semantic code can be divided into a common part and a personalized part. The semantic code obtained by converting the business information is different from the personalized part of the common part in the semantic domain.

[0051] Artificial intelligence model: includes artificial intelligence semantic coding model and artificial intelligence semantic decoding model. The artificial intelligence semantic coding model is used to encode the service information of the future self-source into semantic information. The semantic information is transmitted on the channel. The artificial intelligence semantic decoder is used to decode the semantic information transmitted on the channel into service information. According to the different semantic types, it can be divided into text artificial intelligence model, audio artificial intelligence model, image artificial intelligence model, video artificial intelligence model, point cloud artificial intelligence model, one-dimensional waveform model, radar data model, etc. The category of artificial intelligence model is related to the category of semantic coding and the category of service information, and can be a model of all possible types of communication transmission.

[0052] Air interface: In mobile communications, the end user and the base station are connected to each other through the air interface. The "air interface" is the wireless transmission specification between the base station and the mobile phone, which defines the frequency, bandwidth, access timing, coding method and handover of each wireless channel.

[0053] The present invention is further described below in conjunction with the accompanying drawings and specific embodiments, but is not intended to be a limitation of the present disclosure. The present disclosure provides an uplink protocol based on multiple access technologies, which is applied to multiple user terminals transmitting first service information to the same base station, such as Figure 1 As shown, including:

[0054] Step S101, each user terminal extracts features of first service information to be transmitted by using its own first semantic coding model to obtain corresponding first semantic information;

[0055] Step S102, superimposing the first semantic information extracted by the plurality of user terminals in the air interface to obtain a first semantic superposition signal;

[0056] Step S103, any user terminal transmits a first semantic overlay signal to the base station;

[0057] In step S104, the base station inputs the received first semantic superposition signal into the corresponding multiple first semantic decoding models, performs semantic recovery through the multiple first semantic decoding models, and obtains multiple second service information corresponding to the multiple first service information.

[0058] Specifically, Figure 2 As shown in the figure, the communication protocol process in which multiple users simultaneously send orthogonal semantic signals in the uplink scenario. Initially, the base station identifies two users who have requested uplink transmission. If the two users use different semantic models (orthogonal semantic models), that is, the model structures or parameters are different, their respective semantic signals are extracted respectively. The semantic signals of user 1 and user 2 are superimposed in the air interface and sent to the base station. Both the signals before and after superposition can be combined with other MA (multiple access) technologies and integrated with O-MDMA (Orthogonal Model Division Multiple Access, multiple access technology with model semantic orthogonality). After the base station receives the semantic superposition signal, it is not necessary to separate the semantic superposition signal. The semantic superposition signal is input into the semantic decoding models corresponding to user 1 and user 2 respectively, and the source signals of user 1 and 2 can be restored. Among them, the semantic orthogonal signal means that the signal is not interfered in the semantic space, but is regarded as noise in the physical space. The orthogonal semantic model means that the signal after the model is encoded by mutually orthogonal semantic encoding models and decoded by mutually orthogonal semantic decoding models will not be interfered in the semantic space. The signals obtained after encoding and decoding of the non-orthogonal semantic model will be disturbed in the semantic space.

[0059] For example, taking the uplink model multiple access transmission of two users as an example, UE1 and UE2 both transmit the Google OpenImage dataset with a picture size of 512*512*3 to the base station. The base station receives the sending instructions of UE1 and UE2 and matches them. If the match is successful, UE1 and UE2 respectively extract semantic information through two mutually orthogonal semantic coding models to obtain S i and S j , the semantic information of each image is 4096 bits, a total of 8192 bits, and the signal is superimposed on the air interface, reducing the 8192 bits to 4096 bits, that is, originally two signals need to be transmitted, but after waveform superposition, only one signal needs to be transmitted, thus reducing the bandwidth by half. Then, the 4096-bit superimposed signal S i +S j When the signal is transmitted to the base station, the base station does not need to separate the signal. The superimposed signal S can be decoded by using the orthogonal semantic decoding model of UE1 and UE2.i +S j Decoding obtains the images transmitted by UE1 and UE2 respectively, that is, the semantic information S i +S j Images X1 and X2 are restored. In this embodiment, semantic decoding models corresponding to multiple users are set at the receiving end (the base station in this embodiment is the receiving end), and the multiple semantic decoding models are orthogonal to each other. The party receiving the superimposed signal does not need to perform signal separation to restore the semantic information, which can reduce the communication cost while ensuring the communication efficiency. This embodiment designs a corresponding uplink communication protocol based on the characteristics of the orthogonal model multiple access (O-MDMA) technology based on the semantic model, and provides a protocol basis for the application of the O-MDMA technology.

[0060] As an optional implementation, the multiple first semantic decoding models correspond one-to-one to the first semantic encoding models of the multiple user terminals.

[0061] For example, there are user 1 and user 2, user 1 is provided with a semantic coding model E1, user 2 is provided with a semantic coding model E2, the base station is provided with a semantic decoding model D1 corresponding to the semantic coding model E1, and a semantic decoding model D2 corresponding to the semantic coding model E2. After receiving the semantic superposition signal, the base station can input the semantic superposition signal into the semantic decoding models D1 and D2 respectively, and obtain the corresponding service information by decoding through D1 and D2 respectively. In this way, as the party receiving the semantic superposition signal, the base station does not need to separate the semantic superposition signal, and can directly use the semantic decoding models of different users for decoding, so as to restore the service information transmitted by different users, thereby improving communication efficiency.

[0062] As an optional implementation, the model structures or model parameters corresponding to the first semantic encoding models set at different user terminals are different, and the model structures or model parameters corresponding to different first semantic decoding models are also different.

[0063] In this embodiment, the semantic coding models set by different users are mutually orthogonal, and the semantic decoding models set by different users are also mutually orthogonal. For example, user 1 and user 2 transmit an image to the base station respectively, and different semantic information is obtained by encoding through the semantic coding models E1 and E2 of the two users, and then superimposed to obtain a semantic superposition signal, and then decoded by the two semantic decoding models D1 and D2 of the base station respectively. If the decoded image is not superimposed or mixed, it means that the signal is not interfered in the semantic space, and it can be considered that the semantic signal is orthogonal.

[0064] As an optional implementation, transmitting the first semantic overlay signal to the base station includes: converting the first semantic overlay signal into a bit stream and then transmitting it.

[0065] The present disclosure also provides a downlink protocol based on multiple access technology, which is applied to the same base station to transmit third service information to multiple user terminals, such as Figure 3 As shown, including:

[0066] Step S301: The base station extracts features of the third service information to be transmitted by using a second semantic coding model to obtain corresponding second semantic information.

[0067] Step S302, the base station superimposes the extracted second semantic information in the air interface to obtain a second semantic superposition signal;

[0068] Step S303, the base station transmits a second semantic overlay signal to multiple user terminals through a semantic orthogonal multiple access mode;

[0069] In step S304, each user terminal inputs the received second semantic overlay signal into the corresponding second semantic decoding model, performs semantic recovery through the second semantic decoding model, and obtains fourth service information corresponding to the third service information.

[0070] like Figure 4 As shown in the figure, first, the base station searches for users that meet the requirements and extracts semantic information using an artificial intelligence-based semantic model. Then the base station superimposes the two semantic signals, and the superimposed semantic signal is further converted into a bit stream for traditional communication processing. This process can be seamlessly integrated with OFDMA (Orthogonal Frequency Division Multiple Access) and NOMA technologies without conflicts. After the user receives the semantic superposition signal, each user uses their respective semantic decoding model to recover the source signal.

[0071] Taking the downlink model multiple access transmission of two users as an example, the base station transmits the Google OpenImage dataset with a picture size of 512*512*3 to UE1 and UE2. First, two orthogonal semantic encoders are used to extract semantic signals to obtain 4096 bits of semantic information for each picture, and then the semantic superposition signal of 4096 bits is obtained by superimposing the signal on the air interface. Then, the semantic superposition signal is sent to user 1 and user 2 respectively. UE1 and UE2 do not need to separate the superposition signal, and can directly use their own semantic decoding models for decoding to restore their own images. It can be seen from here that if the semantic model multiple access method is not used, 8192 bits of information need to be transmitted. By using the semantic model multiple access method, half of the information can be saved, which significantly reduces the communication cost. This embodiment designs a corresponding downlink communication protocol based on the characteristics of the orthogonal model multiple access (O-MDMA) technology based on the semantic model, and provides a protocol basis for the application of the O-MDMA technology.

[0072] As an optional implementation, the second semantic decoding models set at different user terminals correspond to different model structures or model parameters, that is, the semantic decoding models of different users are mutually orthogonal semantic models.

[0073] As an optional implementation manner, the base station transmits the second semantic overlay signal to multiple user terminals by using a semantic orthogonal multiple access method, including: converting the second semantic overlay signal into a bit stream and then transmitting it to the multiple user terminals.

[0074] The present disclosure also provides an uplink transmission device 500 based on multiple access technology, such as Figure 5 As shown, including:

[0075] The first semantic coding module 501 is provided in the corresponding user terminal and is configured to extract features of the first service information to be transmitted by using respective first semantic coding models to obtain corresponding first semantic information;

[0076] The first signal superposition module 502 is provided in the user terminal and is configured to superimpose the first semantic information extracted by the plurality of user terminals in the air interface to obtain a first semantic superposition signal;

[0077] The first information transmission module 503 is provided in the user terminal and is configured to transmit a first semantic overlay signal to the base station;

[0078] The first semantic decoding module 504 is arranged in the base station and is configured to input the received first semantic superposition signal into the corresponding multiple first semantic decoding models, perform semantic recovery through the multiple first semantic decoding models, and obtain multiple second business information corresponding to the multiple first business information.

[0079] Specifically, Figure 2As shown in the figure, the communication protocol process of multiple users sending orthogonal semantic signals simultaneously in the uplink scenario. Initially, the base station identifies two users who have requested uplink transmission. If the two users use different semantic models (orthogonal semantic models), that is, the model structures or parameters are different, their respective semantic signals are extracted respectively. The semantic signals of user 1 and user 2 are superimposed in the air interface and sent to the base station. The signals before and after superposition can be combined with other MA (multiple access) technologies and integrated with O-MDMA. After the base station receives the semantic superposition signal, it is not necessary to separate the semantic superposition signal. The semantic superposition signal is input into the semantic decoding model corresponding to user 1 and user 2 respectively, and the source signals of user 1 and 2 can be restored. Among them, the semantic orthogonal signal means that the signal is not interfered in the semantic space, but is regarded as noise in the physical space. The orthogonal semantic model means that the signal after the model is encoded by a mutually orthogonal semantic encoding model and decoded by a mutually orthogonal semantic decoding model will not be interfered in the semantic space. The signal obtained after encoding and decoding by the non-orthogonal semantic model will be interfered in the semantic space.

[0080] For example, taking the uplink model multiple access transmission of two users as an example, UE1 and UE2 both transmit the Google OpenImage dataset with a picture size of 512*512*3 to the base station. The base station receives the sending instructions of UE1 and UE2 and matches them. If the match is successful, UE1 and UE2 respectively extract semantic information through two mutually orthogonal semantic coding models to obtain S i and S j , the semantic information of each image is 4096 bits, a total of 8192 bits, and the signal is superimposed on the air interface, reducing the 8192 bits to 4096 bits, that is, originally two signals need to be transmitted, but after waveform superposition, only one signal needs to be transmitted, thus reducing the bandwidth by half. Then, the 4096-bit superimposed signal S i +S j When the signal is transmitted to the base station, the base station does not need to separate the signal. The superimposed signal S can be decoded by using the orthogonal semantic decoding model of UE1 and UE2. i +S j Decoding obtains the images transmitted by UE1 and UE2 respectively, that is, the semantic information S i +S jImages X1 and X2 are restored. In this embodiment, semantic decoding models corresponding to multiple users are set at the receiving end (the base station in this embodiment is the receiving end), and the multiple semantic decoding models are orthogonal to each other. The party receiving the superimposed signal does not need to perform signal separation to restore the semantic information, which can reduce the communication cost while ensuring the communication efficiency. This embodiment designs a corresponding uplink communication protocol based on the characteristics of the orthogonal model multiple access (O-MDMA) technology based on the semantic model, and provides a protocol basis for the application of the O-MDMA technology.

[0081] As an optional implementation, the multiple first semantic decoding models correspond one-to-one to the first semantic encoding models of the multiple user terminals.

[0082] For example, there are user 1 and user 2, user 1 is provided with a semantic coding model E1, user 2 is provided with a semantic coding model E2, the base station is provided with a semantic decoding model D1 corresponding to the semantic coding model E1, and a semantic decoding model D2 corresponding to the semantic coding model E2. After receiving the semantic superposition signal, the base station can input the semantic superposition signal into the semantic decoding models D1 and D2 respectively, and obtain the corresponding service information by decoding through D1 and D2 respectively. In this way, as the party receiving the semantic superposition signal, the base station does not need to separate the semantic superposition signal, and can directly use the semantic decoding models of different users for decoding, so as to restore the service information transmitted by different users, thereby improving communication efficiency.

[0083] As an optional implementation, the model structures or model parameters corresponding to the first semantic encoding models set at different user terminals are different, and the model structures or model parameters corresponding to different first semantic decoding models are also different.

[0084] In this embodiment, the semantic coding models set by different users are mutually orthogonal, and the semantic decoding models set by different users are also mutually orthogonal. For example, user 1 and user 2 transmit an image to the base station respectively, and different semantic information is obtained by encoding through the semantic coding models E1 and E2 of the two users, and then superimposed to obtain a semantic superposition signal, and then decoded by the two semantic decoding models D1 and D2 of the base station respectively. If the decoded image is not superimposed or mixed, it means that the signal is not interfered in the semantic space, and it can be considered that the semantic signal is orthogonal.

[0085] As an optional implementation manner, the first information transmission module 503 transmitting the first semantic overlay signal to the base station includes: converting the first semantic overlay signal into a bit stream and then transmitting it.

[0086] The present disclosure also provides a downlink transmission device 600 based on multiple access technology, which is applied to the same base station to transmit third service information to multiple user terminals, such as Figure 6 As shown, including:

[0087] The second semantic coding module 601 is provided in the base station and is configured to extract features of the third service information to be transmitted by using the second semantic coding model to obtain corresponding second semantic information;

[0088] The second signal superposition module 602 is provided in the base station and is configured to superimpose the extracted second semantic information in the air interface to obtain a second semantic superposition signal;

[0089] The second information transmission module 603 is provided in the base station and is configured to transmit a second semantic superposition signal to multiple user terminals through a semantic orthogonal multiple access mode;

[0090] The second semantic decoding module 604 is provided in the user terminal and is configured to input the received second semantic superposition signal into the corresponding second semantic decoding model, perform semantic recovery through the second semantic decoding model, and obtain fourth service information corresponding to the third service information.

[0091] like Figure 4 As shown in the figure, first, the base station searches for users that meet the requirements and extracts semantic information using an artificial intelligence-based semantic model. Then the base station superimposes the two semantic signals, and the superimposed semantic signal is further converted into a bit stream for traditional communication processing. This process can be seamlessly integrated with OFDMA and NOMA technologies without conflicts. After the user receives the semantic superposition signal, each user uses their respective semantic decoding model to recover the source signal.

[0092] Taking the downlink model multiple access transmission of two users as an example, the base station transmits the Google OpenImage dataset with a picture size of 512*512*3 to UE1 and UE2. First, two orthogonal semantic encoders are used to extract semantic signals to obtain 4096 bits of semantic information for each picture, and then the semantic superposition signal of 4096 bits is obtained by superimposing the signal on the air interface. Then, the semantic superposition signal is sent to user 1 and user 2 respectively. UE1 and UE2 do not need to separate the superposition signal, and can directly use their own semantic decoding models for decoding to restore their own images. It can be seen from here that if the semantic model multiple access method is not used, 8192 bits of information need to be transmitted. By using the semantic model multiple access method, half of the information can be saved, which significantly reduces the communication cost. This embodiment designs a corresponding downlink communication protocol based on the characteristics of the orthogonal model multiple access (O-MDMA) technology based on the semantic model, and provides a protocol basis for the application of the O-MDMA technology.

[0093] As an optional implementation, the second semantic decoding models set at different user terminals correspond to different model structures or model parameters, that is, the semantic decoding models of different users are mutually orthogonal semantic models.

[0094] As an optional implementation manner, the second information transmission module 603 transmits the second semantic overlay signal to multiple user terminals by using a semantic orthogonal multiple access method, including: converting the second semantic overlay signal into a bit stream and then transmitting the bit stream to the multiple user terminals.

[0095] In the technical solution disclosed herein, the acquisition, storage and application of user personal information involved are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0096] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

[0097] Figure 7 A schematic block diagram of an example electronic device 700 that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0098] like Figure 7 As shown, the device 700 includes a computing unit 701, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 702 or a computer program loaded from a storage unit 708 into a random access memory (RAM) 703. In the RAM 703, various programs and data required for the operation of the device 700 can also be stored. The computing unit 701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. An input / output (I / O) interface 705 is also connected to the bus 704.

[0099] A number of components in the device 700 are connected to the I / O interface 705, including: an input unit 706, such as a keyboard, a mouse, etc.; an output unit 707, such as various types of displays, speakers, etc.; a storage unit 708, such as a disk, an optical disk, etc.; and a communication unit 709, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 709 allows the device 700 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0100] The computing unit 701 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 701 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning objective function algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 701 performs the various methods and processes described above, such as an uplink protocol or a downlink protocol based on a multiple access technology. For example, in some embodiments, an uplink protocol or a downlink protocol based on a multiple access technology may be implemented as a computer software program, which is tangibly included in a machine-readable medium, such as a storage unit 708. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 700 via the ROM 702 and / or the communication unit 709. When the computer program is loaded into the RAM 703 and executed by the computing unit 701, one or more steps of the uplink protocol or the downlink protocol based on the multiple access technology described above may be executed. Alternatively, in other embodiments, the computing unit 701 may be configured to execute an uplink protocol or a downlink protocol based on a multiple access technology in any other appropriate manner (for example, by means of firmware).

[0101] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0102] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0103] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0104] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0105] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0106] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0107] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of this disclosure can be achieved, and this document is not limited here.

[0108] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. An uplink protocol based on multiple access technology, applied to multiple user terminals transmitting first service information to the same base station, characterized in that: include: Each of the user terminals extracts features of the first service information to be transmitted by using a respective first semantic coding model to obtain corresponding first semantic information; Superimposing the first semantic information extracted by the plurality of the user terminals in an air interface to obtain a first semantic superposition signal; Any one of the user terminals transmits the first semantic overlay signal to the base station; The base station inputs the received first semantic overlay signal into the corresponding multiple first semantic decoding models, performs semantic recovery through the multiple first semantic decoding models, and obtains multiple second service information corresponding to the multiple first service information.

2. The uplink protocol according to claim 1, wherein: The multiple first semantic decoding models correspond one-to-one to the first semantic encoding models of the multiple user terminals.

3. The uplink protocol according to claim 1 or 2, wherein: The model structures or model parameters corresponding to the first semantic encoding models set by different user terminals are different, and the model structures or model parameters corresponding to different first semantic decoding models are also different.

4. The uplink protocol according to any one of claims 1 to 3, wherein: The transmitting the first semantic overlay signal to the base station includes: converting the first semantic overlay signal into a bit stream and then transmitting the bit stream.

5. A downlink protocol based on multiple access technology, applied to the same base station to transmit third service information to multiple user terminals, characterized in that: include: The base station extracts features of the third service information to be transmitted by using a second semantic coding model to obtain corresponding second semantic information; The base station superimposes the extracted second semantic information in an air interface to obtain a second semantic superposition signal; The base station transmits the second semantic overlay signal to the plurality of user terminals by using a semantic orthogonal multiple access mode; Each of the user terminals inputs the received second semantic overlay signal into a corresponding second semantic decoding model, performs semantic recovery through the second semantic decoding model, and obtains fourth service information corresponding to the third service information.

6. The downlink protocol according to claim 5, wherein: The second semantic decoding models set at different user terminals have different corresponding model structures or model parameters.

7. The downlink protocol according to claim 5 or 6, wherein: The transmitting the second semantic overlay signal to the plurality of user terminals by using a semantic orthogonal multiple access method includes: converting the second semantic overlay signal into a bit stream and then transmitting the bit stream to the plurality of user terminals.

8. An uplink transmission device based on multiple access technology, characterized in that: include: A first semantic coding module is provided in the corresponding user terminal and is configured to extract features of the first service information to be transmitted through respective first semantic coding models to obtain corresponding first semantic information; A first signal superposition module is provided in the user terminal and is configured to superimpose the first semantic information extracted by the plurality of user terminals in an air interface to obtain a first semantic superposition signal; A first information transmission module, disposed in the user terminal, and configured to transmit the first semantic overlay signal to the base station; The first semantic decoding module is arranged in the base station and is configured to input the received first semantic superposition signal into the corresponding multiple first semantic decoding models, perform semantic recovery through the multiple first semantic decoding models, and obtain multiple second business information corresponding to the multiple first business information.

9. The uplink transmission device according to claim 8, wherein: The multiple first semantic decoding models correspond one-to-one to the multiple first semantic encoding models.

10. The uplink transmission device according to claim 8 or 9, wherein: The model structures or model parameters corresponding to the first semantic encoding models set by different user terminals are different, and the model structures or model parameters corresponding to different first semantic decoding models are also different.

11. The device according to any one of claims 8 to 10, wherein: The first information transmission module transmitting the first semantic overlay signal to the base station includes: converting the first semantic overlay signal into a bit stream and then transmitting the bit stream.

12. A downlink transmission device based on multiple access technology, applied to the same base station to transmit third service information to multiple user terminals, characterized in that: include: A second semantic coding module, provided in the base station, is configured to extract features of the third service information to be transmitted through a second semantic coding model to obtain corresponding second semantic information; A second signal superposition module is provided in the base station and is configured to superimpose the extracted second semantic information in the air interface to obtain a second semantic superposition signal; A second information transmission module, arranged in the base station, is configured to transmit the second semantic overlay signal to the plurality of user terminals through a semantic orthogonal multiple access mode; The second semantic decoding module is arranged in the user terminal and is configured to input the received second semantic superposition signal into the corresponding second semantic decoding model, perform semantic recovery through the second semantic decoding model, and obtain fourth business information corresponding to the third business information.

13. The downlink transmission device according to claim 12, wherein: The second semantic decoding models set at different user terminals have different corresponding model structures or model parameters.

14. The downlink transmission device according to claim 12 or 13, wherein: The second information transmission module transmits the second semantic overlay signal to the plurality of user terminals by using a semantic orthogonal multiple access method, including: converting the second semantic overlay signal into a bit stream and then transmitting the bit stream to the plurality of user terminals.

15. An electronic device, comprising: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the uplink protocol of any one of claims 1-4 or the downlink protocol of any one of claims 5-7.

16. A non-transitory computer-readable storage medium storing computer instructions, wherein: The computer instructions are used to cause the computer to execute the uplink protocol according to any one of claims 1-4 or the downlink protocol according to any one of claims 5-7.

17. A computer program product, comprising a computer program, which, when executed by a processor, implements the uplink protocol according to any one of claims 1-4 or the downlink protocol according to any one of claims 5-7.

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