CN-122002310-A - Communication method, communication device and equipment based on AI model

Abstract

The application discloses a communication method, a communication device and equipment based on an AI model, belonging to the technical field of communication; and the first equipment obtains output information according to the AI model and the input information, wherein the output information is used for adjusting transmission related configuration parameters of a data link transmission layer. The application is beneficial to considering various factors to dynamically and adaptively adjust the transmission related configuration parameters of the data link transmission layer, and is beneficial to meeting the business requirements of users.

Inventors

• ZHENG XIAOXIAO
• YANG XIAODONG
• BAO WEI
• LIU JIAMIN

Assignees

• 维沃移动通信有限公司

Dates

Publication Date

20260508

Application Date

20241108

Claims (20)

1. 1. A communication method based on an intelligent algorithm, comprising: the method comprises the steps that first equipment acquires input information; And the first equipment obtains output information according to the AI model and the input information, wherein the output information is used for adjusting transmission related configuration parameters of a data link transmission layer.
2. 2. The method of claim 1, wherein the output information comprises at least one of: Automatic repeat request, ARQ, retransmission related configuration parameters; Radio link control, RLC, layer reporting related configuration parameters; relevant configuration parameters of the Media Access Control (MAC) group packet; the PDCP of the sending end transmits relevant configuration parameters; The receiving end PDCP transmits the relevant configuration parameters.
3. 3. The method of claim 2, wherein the ARQ retransmission-related configuration parameters include at least one of: Maximum number of retransmissions; a retransmission time point, configured to indicate a time interval from a last initial transmission or retransmission; new data amount; The relevant parameters are polled.
4. 4. A method according to claim 3, wherein the new data volume comprises at least one of: At least one of the number of bits/bytes of the newly transmitted data and the number of protocol data units PDUs; The ratio of the number of bits/bytes of the newly transmitted data to the number of bits/bytes of the retransmitted data; the ratio of the number of PDUs of the new transmission data to the number of PDUs of the retransmission data.
5. 5. A method according to claim 3, wherein the polling-related parameters comprise at least one of: triggering the number of bytes polled; Triggering the number of the polled PDU; The retransmission timer is polled.
6. 6. The method of claim 2, wherein the RLC layer status report related configuration parameters comprise at least one of: The method comprises the steps of sending the time and/or the content of a status report, wherein the time is used for indicating the time interval from the last time of sending the status report, and the content is the maximum sequence number SN of a data packet fed back; the time for ending retransmission is used for indicating the time for the receiving end to give up receiving the data packet; The time delay reordering parameter is used for indicating the duration of triggering the sending state report timer; PDCP reorder time.
7. 7. The method of claim 2, wherein the relevant configuration parameters of the MAC group packet include at least one of: a selected logical channel LCH; The data volume of each logical channel LCH selected; The priority order of at least two selected LCH PDU, new transmission PDU in RLC, retransmission PDU in RLC, RLC control PDU, PDCP control PDU; priority order of at least two PDCP PDUs; A priority order of at least two RLC PDUs; A priority order of at least two MAC control PDUs; The length of the SN; the selected priority bit rate PBR parameters for each logical channel; priority of each logical channel selected.
8. 8. The method of claim 2, wherein the sender PDCP transmission-related configuration parameters include information indicating at least one of: whether PDCP repetition is turned on; Whether to open integrity protection; A partial data packet for integrity protection; PDCP SDU concatenation number; Whether to start the discard of SDUs based on the PDCP timer; discarding corresponding timer suggestion values based on SDUs of the PDCP timer; whether a header compression algorithm is enabled; Enabling a header compression algorithm selection; whether to turn on the upstream data compression UDC and the corresponding algorithm.
9. 9. The method of claim 2, wherein the receiving end PDCP transmission-related configuration parameters include at least one of: Whether to start out-of-order transmission or not; t-re-ordering reorder time.
10. 10. The method of any of claims 3-5, wherein the input information comprises at least one of: the current RLC transmitting end configures parameters; A current transmission state; packet loss rate, ratio of lost data packets to total number of data packets transmitted; the retransmission rate is used for indicating the ratio of the number of retransmission data packets to the number of new transmission data packets; average number of retransmissions; A current transmission rate; average RLC PDU length; average the RLC PDU data size sent per transmission interval; a quality of service QoS requirement; A transmission time interval, TTI, length; maximum number of retransmissions for HARQ; hybrid automatic repeat request (HARQ) accuracy; HARQ acknowledgement/non-acknowledgement ACK/NACK error rate; and (5) an empty state.
11. 11. The method of claim 10, wherein the current transmission state comprises at least one of: The number of data packets transmitted; the sending time of the data packet; the average data transmission rate counted by the RLC layer; The number of retransmitted data packets; At least one of retransmission data packet sending time and retransmission times; a transmission window size; waiting for the time delay of transmission in the buffer memory; the time delay from arrival of the data at the buffer until successful receipt.
12. 12. The method of claim 10, wherein the current RLC sender configuration parameters include at least one of: RLC mode, SN length; Triggering the number of the polled PDU; The number of bits triggering the poll; Polling a retransmission timer; maximum number of retransmissions.
13. 13. The method of claim 10, wherein the traffic QoS requirements comprise at least one of: aggregate maximum data rate AMBR, priority bit rate PBR, priority, packet delay budget, packet error rate, 5G QoS identifier, low latency requirement, maximum burst data volume, extended packet delay budget, delay budget for PDU set, PDU set error rate, PDU set joint processing information.
14. 14. The method of claim 6, wherein the input information comprises at least one of: The current RLC receiving end configures parameters; a data packet receiving state; status report transmission status; Retransmission rate; Average waiting time delay; An air interface state; Service QoS requirements; a TTI length; maximum number of retransmissions for HARQ; HARQ accuracy; HARQ ACK/NACK error rate.
15. 15. The method of claim 14 wherein the retransmission rate comprises a ratio of N retransmitted data packets to all data packets, N being a positive integer.
16. 16. The method of claim 14 wherein the current RLC receiver side configuration parameters include at least one of a reassembly timer duration and a status report prohibit timer duration.
17. 17. The method of claim 14, wherein the packet reception status comprises at least one of: counting the number of data packets received in the time; packet reception time; A status report of the transmitted data packet; The statistics of NACK corresponding to the data packet; the ratio of the number of waiting packets received in the receive window to the window size.
18. 18. The method of claim 14, wherein the status report transmission status comprises an average transmission frequency of status reports over a statistical time period.
19. 19. The method of claim 14, wherein the average latency comprises at least one of: SN gap average waiting time delay; The ratio of the number of reassembly timer resets to the number of reassembly timer expires.
20. 20. The method of claim 7, wherein the input information comprises at least one of: Service QoS requirements; The current logic channel priority processes LCP related configuration parameters; Traffic data volume to be transmitted; current LCP and traffic transmission status; An air interface state; cell load status.

Description

Communication method, communication device and equipment based on AI model Technical Field The application belongs to the technical field of communication, and particularly relates to a communication method, a communication device and equipment based on an AI model. Background With the rapid development of streaming media services, new demands are brought to the data link layer (L2 layer) of the wireless air interface. At present, parameters for controlling the L2 packet and retransmission need to be considered, and the service requirements of users are difficult to be met by adjusting relevant configuration parameters in a dynamic self-adaptive manner by combining the dynamic variable service QoS attributes. Therefore, how to optimize the relevant configuration parameters is a problem to be solved. Disclosure of Invention The embodiment of the application provides a communication method, a communication device and equipment based on an AI model, which can solve the problem of how to optimize relevant configuration parameters. In a first aspect, a communication method based on an intelligent algorithm is provided, the method comprising: the method comprises the steps that first equipment acquires input information; And the first equipment obtains output information according to the AI model and the input information, wherein the output information is used for adjusting transmission related configuration parameters of a data link transmission layer. In a second aspect, there is provided a communication method based on an intelligent algorithm, the method comprising: the second device sends model reasoning configuration information to the first device, wherein the model reasoning configuration information is used for indicating input information and output information of an AI model deployed on the first device, and the output information is used for adjusting transmission related configuration parameters of a data link transmission layer. In a third aspect, a communication device based on an intelligent algorithm is provided, including: The processing module is used for acquiring input information; The processing module is further configured to obtain output information according to the AI model and the input information, where the output information is used to adjust transmission related configuration parameters of the data link transmission layer. In a fourth aspect, there is provided a communication device based on an intelligent algorithm, comprising: The system comprises a sending module, a first device and a second device, wherein the sending module is used for sending model reasoning configuration information to the first device, the model reasoning configuration information is used for indicating input information and output information of an AI model deployed on the first device, and the output information is used for adjusting transmission related configuration parameters of a data link transmission layer. In a fifth aspect, there is provided a communication device configured to perform the steps of the method as described in the first aspect or to implement the steps of the method as described in the second aspect. In a sixth aspect, there is provided a communications device comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, implement the steps of the method as described in the first aspect. In a seventh aspect, a communication device is provided, including a processor, wherein the processor is configured to obtain input information; And obtaining output information according to the AI model and the input information, wherein the output information is used for adjusting transmission related configuration parameters of a data link transmission layer. In an eighth aspect, there is provided a communication device comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, implement the steps of the method as described in the second aspect. In a ninth aspect, a communication device is provided, including a processor and a communication interface, where the communication interface is configured to send model inference configuration information to a first device, where the model inference configuration information is configured to indicate input information and output information of an AI model deployed on the first device, and where the output information is configured to adjust transmission related configuration parameters of a data link transport layer. In a tenth aspect, there is provided a readable storage medium having stored thereon a program or instructions which when executed by a processor, performs the steps of the method according to the first aspect or performs the steps of the method according to the second aspect. An eleventh aspect provides a wireless communication system comprising a terminal operable to perform the steps of t