CN-115701784-B - Method and device for transmitting indication information and readable storage medium

CN115701784BCN 115701784 BCN115701784 BCN 115701784BCN-115701784-B

Abstract

The present disclosure provides a method, an apparatus and a readable storage medium for transmitting indication information, the method comprising determining a discontinuous reception mode of a user equipment according to traffic data flow and channel state information of the user equipment in a current discontinuous reception period; and sending first indication information to the user equipment, wherein the first indication information is used for indicating the discontinuous reception mode. In the present disclosure, the discontinuous reception mode of the user equipment is determined according to the traffic data flow and the channel state information of the user equipment in the current discontinuous reception period, so that the determined discontinuous reception mode is related to the real-time communication condition, and the determined discontinuous reception mode is more intelligent and reasonable.

Inventors

Mou qin
HONG WEI
ZHAO ZHONGYUAN
JIA CHAO
WANG JINGYI

Assignees

北京小米移动软件有限公司
北京邮电大学

Dates

Publication Date: 20260508
Application Date: 20210601

Claims (20)

1. A method of transmitting indication information, performed by a base station, comprising: inputting service data flow and channel state information of user equipment in a current discontinuous receiving period into a deep learning model, determining N evaluation values output by the deep learning model, and determining a discontinuous receiving mode corresponding to the largest evaluation value in the N evaluation values; The method comprises the steps of sending first indication information to user equipment, sending third indication information to the user equipment, wherein the third indication information is used for indicating that the discontinuous reception mode corresponds to a wake-up user mode or a non-wake-up user mode, sending RRC signaling to the user equipment when the discontinuous reception mode corresponds to the wake-up user mode, and the RRC signaling comprises fourth indication information which is used for indicating a time slot interval for Physical Downlink Control Channel (PDCCH) detection, wherein different discontinuous reception modes correspond to different time slot intervals; In each DRX period after the current discontinuous reception period, determining a discontinuous reception mode by the user equipment by using the same deep learning model, updating the deep learning model once every K DRX periods, and determining the discontinuous reception mode by using the last updated deep learning model in each DRX period between the two updating.
2. The method of claim 1, wherein, The method further comprises the steps of: Training according to sample data to obtain the deep learning model; Or receiving the deep learning model from a server, wherein the deep learning model is obtained by training according to sample data.
3. The method of claim 1, wherein, The method further comprises the steps of: Acquiring historical data of the user equipment in the latest continuous M discontinuous reception periods in the current discontinuous reception period, or acquiring the historical data of the user equipment in the latest continuous M discontinuous reception periods when the current discontinuous reception period corresponds to an updating opportunity; obtaining the deep learning model according to historical data of the user equipment in the continuous M discontinuous receiving periods; The updating time corresponds to executing model updating once in every interval of K discontinuous receiving periods, wherein K and M are integers larger than 1, and K is larger than or equal to M; The history data comprises history parameters of the user equipment in continuous M discontinuous reception periods, wherein the history parameters comprise service data flow, channel state information, a selected discontinuous reception mode and evaluation values corresponding to the N discontinuous reception modes.
4. The method of claim 3, wherein, The obtaining the deep learning model according to the historical data of the user equipment in the continuous M discontinuous receiving periods comprises the following steps: updating a first model according to historical data of the user equipment in the continuous M discontinuous receiving periods to obtain the deep learning model; Or alternatively The method comprises the steps of sending historical data of user equipment in the continuous M discontinuous receiving periods to a server, and receiving the deep learning model from the server, wherein the deep learning model is obtained by updating a first model by using the historical data of the user equipment in the continuous M discontinuous receiving periods; The first model is a model obtained through training according to sample data, or the first model is a model obtained through training according to sample data and historical data of the user equipment in the continuous M discontinuous receiving periods in a set historical period.
5. The method of claim 3, wherein, The acquiring the historical data of the user equipment in the continuous M discontinuous reception periods comprises the following steps: Transmitting a request message to an operation maintenance management entity, wherein the request message is used for requesting to acquire historical data of the user equipment in the continuous M discontinuous reception periods; receiving a second indication message from the operation maintenance management entity, wherein the second indication message is used for indicating that data is ready and a first address, and the first address is used for storing historical data of the user equipment in the continuous M discontinuous reception periods; historical data of the user equipment in the continuous M discontinuous reception cycles is obtained from the first address.
6. The method of claim 5, wherein, The sending the request message to the operation maintenance management entity comprises the following steps: And sending the request message to the operation maintenance management entity once every M discontinuous receiving periods.
7. The method of claim 1, wherein, The sending the first indication information to the user equipment includes: And sending downlink control information to the user equipment through a PDCCH, wherein the downlink control information comprises the first indication information.
8. The method of claim 1, wherein, The sending the first indication information to the user equipment includes: And transmitting a reference signal to the user equipment through the PDSCH, wherein the reference signal comprises the first indication information.
9. The method of claim 1, wherein, The sending the first indication information to the user equipment includes: and sending MAC-CE information to the user equipment through the PDSCH, wherein the MAC-CE information comprises the first indication information.
10. The method of claim 1, wherein, The RRC signaling includes fourth indication information, including: and a control time slot period and an offset field in a search idle information element in a control resource set in PDCCH configuration information in the RRC signaling are used for indicating the fourth indication information.
11. The method of claim 1, wherein, The method further comprises the steps of: After the current discontinuous reception period is finished, the historical data of the user equipment in the current discontinuous reception period is constructed, and the historical data of the user equipment in the current discontinuous reception period is sent to an operation maintenance management entity, wherein the historical data in the current discontinuous reception period comprises service data flow, channel state information, a selected discontinuous reception mode and evaluation values corresponding to the discontinuous reception mode.
12. A method of transmitting indication information, performed by a user equipment, comprising: Receiving first indication information from a base station, wherein the first indication information is used for indicating a discontinuous reception mode, the discontinuous reception mode is a discontinuous reception mode corresponding to the largest evaluation value in N evaluation values, and the N evaluation values are determined based on the service data flow and channel state information of the user equipment in the current discontinuous reception period and input into a deep learning model; receiving third indication information from the base station, wherein the third indication information is used for indicating that the discontinuous reception mode corresponds to a wake-up user mode or a non-wake-up user mode; Performing discontinuous reception according to the discontinuous reception mode; Receiving RRC signaling from a base station when the discontinuous reception mode corresponds to an awake user mode, wherein the RRC signaling comprises fourth indication information for indicating a time slot interval for Physical Downlink Control Channel (PDCCH) detection, wherein different discontinuous reception modes correspond to different time slot intervals; and determining a discontinuous reception mode by using the same deep learning model in each DRX period after the current discontinuous reception period, updating the deep learning model once every K DRX periods, and determining the discontinuous reception mode by using the last updated deep learning model in each DRX period between the two updating.
13. The method of claim 12, wherein, The receiving, from the base station, first indication information includes: And receiving downlink control information from the base station through a PDCCH, wherein the downlink control information comprises the first indication information.
14. The method of claim 12, wherein, The receiving, from the base station, first indication information includes: and receiving a reference signal from the base station through a PDSCH, wherein the reference signal comprises the first indication information.
15. The method of claim 12, wherein, The receiving, from the base station, first indication information includes: And receiving MAC-CE information from the base station through the PDSCH, wherein the MAC-CE information comprises the first indication information.
16. A communication device, for use in a base station, comprising: The processing module is used for determining a discontinuous receiving mode of the user equipment according to the service data flow and the channel state information of the user equipment in the current discontinuous receiving period; The processing module is further configured to determine a discontinuous reception mode of the ue according to the traffic data flow and channel state information of the ue in the current discontinuous reception period by using the following method: Inputting the business data flow and the channel state information of the user equipment in the current discontinuous receiving period into a deep learning model, determining N evaluation values output by the deep learning model, and determining a discontinuous receiving mode corresponding to the largest evaluation value in the N evaluation values; the receiving and transmitting module is used for sending first indication information to the user equipment, wherein the first indication information is used for indicating the discontinuous reception mode; the transceiver module is further configured to send third indication information to the user equipment, where the third indication information is used to indicate that the discontinuous reception mode corresponds to a wake-up user mode or a non-wake-up user mode; The receiving-transmitting module is further configured to send an RRC signaling to the user equipment when the discontinuous reception mode corresponds to a wake-up user mode, where the RRC signaling includes fourth indication information, where the fourth indication information is used to indicate a time slot interval for performing physical downlink control channel PDCCH detection; The processing module is further configured to determine a discontinuous reception mode using the same deep learning model in each DRX cycle after the current discontinuous reception cycle, update the deep learning model once every K DRX cycles, and determine a discontinuous reception mode using a last updated deep learning model in each DRX cycle between the two updates.
17. The apparatus of claim 16, wherein, The processing module is further used for training according to the sample data to obtain the deep learning model; Or alternatively The receiving and transmitting module is used for receiving the deep learning model from a server, wherein the deep learning model is obtained by training according to sample data.
18. The apparatus of claim 16, wherein, The processing module is further configured to obtain, in the current discontinuous reception period, historical data of the user equipment in the latest continuous M discontinuous reception periods, or obtain, when the current discontinuous reception period corresponds to an update opportunity, historical data of the user equipment in the latest continuous M discontinuous reception periods; obtaining the deep learning model according to historical data of the user equipment in the continuous M discontinuous receiving periods; The updating time corresponds to executing model updating once in every interval of K discontinuous receiving periods, wherein K and M are integers larger than 1, and K is larger than or equal to M; The history data comprises history parameters of the user equipment in continuous M discontinuous reception periods, wherein the history parameters comprise service data flow, channel state information, a selected discontinuous reception mode and evaluation values corresponding to the N discontinuous reception modes.
19. The apparatus of claim 18, wherein, The processing module is further configured to update a first model according to historical data of the user equipment in the M discontinuous reception periods to obtain the deep learning model, Or alternatively The receiving and transmitting module is further configured to send historical data of the user equipment in the M discontinuous reception periods to a server, receive the deep learning model from the server, and update a first model by using the historical data of the user equipment in the M discontinuous reception periods to obtain the deep learning model; The first model is a model obtained through training according to sample data, or the first model is a model obtained through training according to sample data and historical data of the user equipment in the continuous M discontinuous receiving periods in a set historical period.
20. The apparatus of claim 18, wherein, The transceiver module is further configured to send a request message to an operation maintenance management entity, where the request message is used to request to obtain historical data of the user equipment in the continuous M discontinuous reception periods, receive a second indication message from the operation maintenance management entity, where the second indication message is used to indicate that the data is ready and a first address, where the first address is an address used to store the historical data of the user equipment in the continuous M discontinuous reception periods, and obtain the historical data of the user equipment in the continuous M discontinuous reception periods from the first address.

Description

Method and device for transmitting indication information and readable storage medium Technical Field The present disclosure relates to the field of wireless communications technologies, and in particular, to a method and apparatus for transmitting indication information, and a readable storage medium. Background The power consumption of the user equipment is an important aspect of the user experience, which affects the application of the user equipment in the 5G New Radio (NR) system, so it is important to study the power consumption of the user equipment. Since the NR system supports high-speed data transmission, bursty user data will be serviced by the network in a very short time. An effective user equipment power saving mechanism is to trigger the user equipment to perform network access from a discontinuous reception mode. When there is no traffic to deliver, the network may assist the user equipment in switching from the network access mode to the discontinuous reception mode. Unless the power saving framework informs the user equipment of network access, the user equipment may stay in discontinuous reception mode, e.g. in micro sleep state. In addition to minimizing power consumption through a new wake-up or sleep-in mechanism, it is also important to reduce power consumption during network access in the rrc_connected state. Furthermore, methods of enhancing the transition between network access mode and discontinuous reception mode should be considered, and the user equipment power saving mechanism should consider both network assistance and user equipment assistance methods. The power saving scheme of the user equipment adapted discontinuous reception (Discontinuous Reception, DRX) mode may configure the power saving signal or channel before or at the beginning of the DRX ON duration by means of the triggering of the power saving signal or channel to trigger the user equipment to wake up only when downlink data arrives. If no power saving signal is detected, the user equipment is not required to wake up at the DRX ON duration at least in physical downlink control channel (Physical Downlink Control Channel, PDCCH) monitoring. The sleep signaling is used to instruct the user equipment to return to sleep state after the DRX ON duration completes the reception of the physical downlink shared channel (Physical Downlink SHARE CHANNEL, PDSCH) to further reduce the power consumption of the user equipment. In a possible implementation process, the base station decides whether to send a Wake Up Service (WUS) signal to the user according to whether new data sent by the network side to the user exists currently, when the base station determines that the new data is sent to the user by the network, the base station sends a Wake Up signal to the user, wakes the user to enter a DRX ON state to receive the data, if no new data arrives at the network side, the base station does not send the Wake Up signal, the user skips the DRX ON state, and the sleep state is maintained. In one possible implementation process, the base station decides whether to send a sleep signal to the user according to whether there is new data sent from the network side to the user, and when the base station confirms that there is no new data sent from the network to the user, the base station sends the sleep signal to the user, so that the user remains dormant for a set period of time (generally, a fixed time slot number) after that, and the user wakes up again after the period of time is finished, and enters a DRX ON state. How to maintain an effective balance between energy saving effect and quality of service is a technical problem to be solved. Disclosure of Invention In view of this, embodiments of the present disclosure provide a method, an apparatus, and a medium for transmitting indication information. In a first aspect, an embodiment of the present disclosure provides a method for transmitting indication information, which is performed by a base station, including: determining a discontinuous reception mode of user equipment according to service data flow and channel state information of the user equipment in a current discontinuous reception period; And sending first indication information to the user equipment, wherein the first indication information is used for indicating the discontinuous reception mode. In one embodiment, determining the discontinuous reception mode of the user equipment according to the traffic data flow and the channel state information of the user equipment in the current discontinuous reception period includes inputting the traffic data flow and the channel state information of the user equipment in the current discontinuous reception period into a deep learning model, determining N evaluation values output by the deep learning model, and determining the discontinuous reception mode corresponding to the largest evaluation value in the N evaluation values. In one embodiment, the method further comprises t