A method, device and readable storage medium for transmitting indication information

Abstract

The present disclosure provides a method, device and 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 cycle; and transmitting first indication information to the user equipment, the first indication information being used for indicating the discontinuous reception mode. In the present disclosure, the discontinuous reception mode of the user equipment is determined according to traffic data flow and channel state information of the user equipment in a current discontinuous reception cycle, so that the determined discontinuous reception mode is related to real-time communication conditions, thereby making the determined discontinuous reception mode more intelligent and reasonable.

Description

Technical Field

[0001] This disclosure relates to the field of wireless communication technology, and in particular to a method, apparatus and readable storage medium for transmitting indication information. Background Technology

[0002] User equipment power consumption is an important aspect of user experience, which will affect the application of user equipment in 5G New Radio (NR) systems. Therefore, it is essential to study user equipment power consumption.

[0003] Because NR systems support high-speed data transmission, bursty user data will be served by the network within a very short time. An effective power-saving mechanism for user equipment (UEs) is to trigger network access from discontinuous reception mode. When there is no service to transmit, the network can help UEs switch from network access mode to discontinuous reception mode. Unless the power-saving framework notifies the UE to access the network, the UE will remain in discontinuous reception mode, such as in a micro-sleep state.

[0004] In addition to minimizing power consumption through new wake-up or sleep mechanisms, reducing power consumption during network access in the RRC_CONNECTED state is equally important. Furthermore, methods to enhance the transition between network access modes and discontinuous reception modes should be considered, and user equipment power-saving mechanisms should simultaneously consider network-assisted and user equipment-assisted methods.

[0005] Power-saving solutions for user equipment (UE) adapted to Discontinuous Reception (DRX) mode can be achieved by triggering a power-saving signal or channel. This power-saving signal or channel can be configured before or at the start of the DRX ON duration, so that the UE is only woken up when downlink data arrives. If no power-saving signal is detected, the UE does not need to be woken up during the DRX ON duration, at least during Physical Downlink Control Channel (PDCCH) monitoring. Sleep signaling is used to instruct the UE to return to sleep mode after completing Physical Downlink Shared Channel (PDSCH) reception during the DRX ON duration, further reducing UE power consumption.

[0006] In one possible implementation, the base station decides whether to send a Wake-Up Service (WUS) signal to the user based on whether there is new data being sent to the user from the network side. When the base station determines that the network is sending new data to the user, it sends a wake-up signal to wake the user up and puts the user into the DRX ON state to receive data. If there is no new data arriving from the network side, the base station does not send a wake-up signal, and the user skips the DRX ON state and remains in sleep mode.

[0007] In one possible implementation, the base station decides whether to send a sleep signal to the user based on whether there is any new data being sent to the user from the network side. When the base station confirms that there is no new data being sent to the user from the network, the base station sends a sleep signal to the user, causing the user to remain in sleep for a set period of time (usually a fixed number of time slots). After this period ends, the user is woken up again and enters the DRX ON state.

[0008] Maintaining an effective balance between energy efficiency and business quality is a technical problem that needs to be solved. Summary of the Invention

[0009] In view of this, embodiments of the present disclosure provide a method, apparatus and medium for transmitting indication information.

[0010] In a first aspect, embodiments of this disclosure provide a method for transmitting indication information, executed by a base station, comprising:

[0011] The discontinuous reception mode of the user equipment is determined based on the service data traffic and channel state information of the user equipment in the current discontinuous reception period;

[0012] Send a first indication message to the user equipment, the first indication message being used to indicate the discontinuous reception mode.

[0013] In one embodiment, determining the discontinuous reception mode of the user equipment based on the service data traffic and channel state information of the user equipment in the current discontinuous reception period includes: inputting the service data traffic and 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 among the N evaluation values.

[0014] In one embodiment, the method further includes: training the deep learning model based on 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 based on sample data.

[0015] In one embodiment, the method further includes:

[0016] Within the current discontinuous reception period, acquire the historical data of the user equipment within the most recent M consecutive discontinuous reception periods; or, when the current discontinuous reception period corresponds to an update opportunity, acquire the historical data of the user equipment within the most recent M consecutive discontinuous reception periods.

[0017] The deep learning model is obtained based on the historical data of the user equipment during the M consecutive discontinuous reception periods.

[0018] The update timing corresponds to performing a model update once every K discontinuous reception cycles; K and M are integers greater than 1, and K is greater than or equal to M;

[0019] The historical data includes historical parameters of the user equipment over M consecutive discontinuous reception periods. The historical parameters include service data traffic, channel state information, the selected discontinuous reception mode, and evaluation values ​​corresponding to N discontinuous reception modes.

[0020] In one embodiment, obtaining the deep learning model based on historical data from the user equipment over the M consecutive discontinuous reception periods includes:

[0021] The deep learning model is obtained by updating the first model using historical data from the user equipment over the M consecutive discontinuous reception periods; or, the user equipment sends historical data from the user equipment over the M consecutive discontinuous reception periods to the server and receives the deep learning model from the server, wherein the deep learning model is obtained by updating the first model using historical data from the user equipment over the M consecutive discontinuous reception periods; wherein the first model is a model trained based on sample data, or the first model is a model trained based on sample data and historical data from the user equipment over the M consecutive discontinuous reception periods within a set historical time period.

[0022] In one embodiment, acquiring the historical data of the user equipment within the M consecutive discontinuous reception periods includes:

[0023] Send a request message to the operation and maintenance management entity, the request message being used to request the acquisition of historical data of the user equipment within the M consecutive discontinuous reception periods;

[0024] The operation and maintenance management entity receives a second instruction message, which indicates that the data is ready and a first address; wherein the first address is an address used to store the historical data of the user equipment in the M consecutive discontinuous reception periods.

[0025] The user equipment obtains historical data from the first address during the M consecutive discontinuous reception periods.

[0026] In one embodiment, sending the request message to the operation and maintenance management entity includes: sending the request message to the operation and maintenance management entity once every M discontinuous reception cycles.

[0027] In one embodiment, sending the first indication information to the user equipment includes: sending downlink control information to the user equipment via PDCCH, wherein the downlink control information includes the first indication information.

[0028] In one embodiment, sending the first indication information to the user equipment includes: sending a reference signal to the user equipment via PDSCH, wherein the reference signal includes the first indication information.

[0029] In one embodiment, sending the first indication information to the user equipment includes: sending MAC-CE information to the user equipment via PDSCH, wherein the MAC-CE information includes the first indication information.

[0030] In one embodiment, the method further includes: sending third indication information to the user equipment, wherein 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.

[0031] In one embodiment, the method further includes: sending RRC signaling to the user equipment when the discontinuous reception mode corresponds to a wake-up user mode; wherein the RRC signaling includes fourth indication information, the fourth indication information being used to indicate the time slot interval for physical downlink control channel (PDCCH) detection; wherein different discontinuous reception modes correspond to different time slot intervals.

[0032] In one embodiment, the RRC signaling includes fourth indication information, including: the control slot period and offset field in the search idle information element of the control resource set in the PDCCH configuration information of the RRC signaling is used to indicate the fourth indication information.

[0033] In one embodiment, the method further includes:

[0034] After the current discontinuous reception period ends, the historical data of the user equipment during the current discontinuous reception period is constructed and sent to the operation and maintenance management entity. The historical data during the current discontinuous reception period includes service data traffic, channel state information, the selected discontinuous reception mode, and the evaluation value corresponding to the discontinuous reception mode.

[0035] Secondly, embodiments of this disclosure provide a method for transmitting indication information, executed by a user equipment, comprising:

[0036] Receive first indication information from the base station, the first indication information being used to indicate the discontinuous reception mode;

[0037] According to the discontinuous reception mode, discontinuous reception is performed.

[0038] In one embodiment, receiving the first indication information from the base station includes: receiving downlink control information from the base station via PDCCH, wherein the downlink control information includes the first indication information.

[0039] In one embodiment, receiving the first indication information from the base station includes: receiving a reference signal from the base station via a PDSCH, wherein the reference signal includes the first indication information.

[0040] In one embodiment, receiving the first indication information from the base station includes: receiving MAC-CE information from the base station via PDSCH, wherein the MAC-CE information includes the first indication information.

[0041] In one embodiment, the method further includes: receiving third indication information from a base station, the third indication information being used to indicate that the discontinuous reception mode corresponds to a wake-up user mode or a non-wake-up user mode.

[0042] In one embodiment, the method further includes: receiving RRC signaling from a base station when the discontinuous reception mode corresponds to a wake-up user mode; wherein the RRC signaling includes fourth indication information, the fourth indication information being used to indicate the time slot interval for physical downlink control channel (PDCCH) detection; wherein different discontinuous reception modes correspond to different time slot intervals.

[0043] Thirdly, embodiments of this disclosure provide a communication device. This communication device can be used to perform the steps executed by a network device in the first aspect or any possible design of the first aspect. The network device can implement the functions of the methods described above through hardware structures, software modules, or a combination of hardware structures and software modules.

[0044] When the communication device shown in the third aspect is implemented by a software module, the communication device may include a receiving module and a processing module coupled to each other.

[0045] When performing the steps described in the first aspect above, the processing module is used to determine the discontinuous reception mode of the user equipment based on the service data traffic and channel state information of the user equipment in the current discontinuous reception period; the transceiver module is used to send first indication information to the user equipment, the first indication information being used to indicate the discontinuous reception mode.

[0046] In one embodiment, the processing module is further configured to determine the discontinuous reception mode of the user equipment based on the service data traffic and channel state information of the user equipment in the current discontinuous reception period using the following method: inputting the service data traffic and 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 among the N evaluation values.

[0047] In one embodiment, the processing module is further configured to train the deep learning model based on sample data; or, the transceiver module is configured to receive the deep learning model from the server, wherein the deep learning model is obtained by training based on sample data.

[0048] In one embodiment, the processing module is further configured to acquire historical data of the user equipment in the most recent M consecutive discontinuous reception periods within the current discontinuous reception period; or, when the current discontinuous reception period corresponds to an update opportunity, acquire historical data of the user equipment in the most recent M consecutive discontinuous reception periods.

[0049] The deep learning model is obtained based on the historical data of the user equipment during the M consecutive discontinuous reception periods.

[0050] The update timing corresponds to performing a model update once every K discontinuous reception cycles; K and M are integers greater than 1, and K is greater than or equal to M;

[0051] The historical data includes historical parameters of the user equipment over M consecutive discontinuous reception periods. The historical parameters include service data traffic, channel state information, the selected discontinuous reception mode, and evaluation values ​​corresponding to N discontinuous reception modes.

[0052] In one embodiment, the processing module is further configured to update the first model based on the historical data of the user equipment within the M consecutive discontinuous reception periods to obtain the deep learning model; or, the transceiver module is further configured to send the historical data of the user equipment within the M consecutive discontinuous reception periods to the server and receive the deep learning model from the server, wherein the deep learning model is obtained by updating the first model using the historical data of the user equipment within the M consecutive discontinuous reception periods.

[0053] Wherein, the first model is a model trained based on sample data, or the first model is a model trained based on sample data and historical data of the user equipment within the M consecutive discontinuous reception cycles within a set historical period.

[0054] In one embodiment, the transceiver module is further configured to send a request message to an operation and maintenance management entity, the request message being used to request the acquisition of historical data of the user equipment within the M consecutive discontinuous reception periods; receive a second indication message from the operation and maintenance management entity, the second indication message being used to indicate that data is ready and a first address; wherein, the first address is an address used to store the historical data of the user equipment within the M consecutive discontinuous reception periods; and acquire the historical data of the user equipment within the M consecutive discontinuous reception periods from the first address.

[0055] In one embodiment, the transceiver module is further configured to send the request message to the operation and maintenance management entity once every M discontinuous reception cycles.

[0056] In one embodiment, the transceiver module is further configured to send downlink control information to the user equipment via PDCCH, wherein the downlink control information includes the first indication information.

[0057] In one embodiment, the transceiver module is further configured to send a reference signal to the user equipment via a PDSCH, wherein the reference signal includes the first indication information.

[0058] In one embodiment, the transceiver module is further configured to send MAC-CE information to the user equipment via PDSCH, wherein the MAC-CE information includes the first indication information.

[0059] In one embodiment, the transceiver module is further configured to send third indication information to the user equipment, wherein 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.

[0060] In one embodiment, the transceiver module is further configured to send RRC signaling to the user equipment when the discontinuous reception mode corresponds to the wake-up user mode; wherein the RRC signaling includes fourth indication information, the fourth indication information being used to indicate the time slot interval for physical downlink control channel (PDCCH) detection;

[0061] Different discontinuous reception modes correspond to different time slot intervals.

[0062] In one embodiment, the RRC signaling includes fourth indication information, including:

[0063] The control slot period and offset fields in the search idle information element of the control resource set in the PDCCH configuration information of the RRC signaling are used to indicate the fourth indication information.

[0064] In one embodiment, the transceiver module is further configured to construct historical data of the user equipment during the current discontinuous reception period after the current discontinuous reception period ends, and send the historical data of the user equipment during the current discontinuous reception period to the operation and maintenance management entity; wherein, the historical data during the current discontinuous reception period includes service data traffic, channel state information, the selected discontinuous reception mode, and the evaluation value corresponding to the discontinuous reception mode.

[0065] Fourthly, embodiments of this disclosure provide a communication device. This communication device can be used to perform the steps executed by a user equipment in the second aspect or any possible design of the second aspect. The user equipment can implement the functions of the methods described above through hardware structures, software modules, or a combination of hardware structures and software modules.

[0066] When the communication device shown in the fourth aspect is implemented by a software module, the communication device may include a transceiver module and a processing module that are coupled to each other.

[0067] When performing the steps described in the second aspect above, the transceiver module is configured to receive first indication information from the base station, the first indication information being used to indicate the discontinuous reception mode; the processing module is configured to perform the discontinuous reception according to the discontinuous reception mode.

[0068] In one embodiment, the transceiver module is further configured to receive downlink control information from the base station via PDCCH, wherein the downlink control information includes the first indication information.

[0069] In one embodiment, the transceiver module is further configured to receive a reference signal from the base station via a PDSCH, wherein the reference signal includes the first indication information.

[0070] In one embodiment, the transceiver module is further configured to receive MAC-CE information from the base station via PDSCH, wherein the MAC-CE information includes the first indication information.

[0071] In one embodiment, the transceiver module is further configured to receive third indication information from the base station, the third indication information being used to indicate that the discontinuous reception mode corresponds to a wake-up user mode or a non-wake-up user mode.

[0072] In one embodiment, the transceiver module is further configured to receive RRC signaling from the base station when the discontinuous reception mode corresponds to the wake-up user mode; wherein the RRC signaling includes fourth indication information, the fourth indication information being used to indicate the time slot interval for physical downlink control channel (PDCCH) detection;

[0073] Different discontinuous reception modes correspond to different time slot intervals.

[0074] Fifthly, this disclosure provides a communication system that may include the communication device shown in the third aspect and the communication device shown in the fourth aspect. The communication device shown in the third aspect may be composed of software modules and / or hardware components. The communication device shown in the fourth aspect may be composed of software modules and / or hardware components.

[0075] In a sixth aspect, this disclosure provides a communication device, including a processor and a memory; the memory is used to store a computer program; the processor is used to execute the computer program to implement the first aspect or any possible design of the first aspect.

[0076] In a seventh aspect, this disclosure provides a communication device including a processor and a memory; the memory is used to store a computer program; the processor is used to execute the computer program to implement the second aspect or any possible design of the second aspect.

[0077] Eighthly, this disclosure provides a computer-readable storage medium storing instructions (or computer programs, programs) that, when invoked and executed on a computer, cause the computer to perform the first aspect or any possible design of the first aspect.

[0078] Ninthly, this disclosure provides a computer-readable storage medium storing instructions (or computer programs, programs) that, when invoked and executed on a computer, cause the computer to perform the second aspect or any possible design of the second aspect.

[0079] The beneficial effects of the second to ninth aspects and their possible designs can be referenced to the description of the beneficial effects of the methods described in the first aspect and any of its possible designs.

[0080] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0081] Figure 1 This is a schematic diagram of a system architecture according to an exemplary embodiment;

[0082] Figure 2 This is a flowchart illustrating a method for transmitting indication information according to an exemplary embodiment;

[0083] Figure 3 This is a flowchart illustrating a method for a base station to acquire historical data of a user equipment over M consecutive discontinuous reception periods, according to an exemplary embodiment.

[0084] Figure 4 This is a schematic diagram illustrating a discontinuous reception method for discontinuous reception mode 0 according to an exemplary embodiment;

[0085] Figure 5 This is a schematic diagram illustrating a discontinuous reception method for discontinuous reception modes 1 / 2 / 3 according to an exemplary embodiment;

[0086] Figure 6 This is a flowchart illustrating a method by which a base station instructs a user equipment to perform discontinuous reception, according to an exemplary embodiment.

[0087] Figure 7 This is a flowchart illustrating a method by which a base station instructs a user equipment to perform discontinuous reception, according to an exemplary embodiment.

[0088] Figure 8 This is a structural diagram of an apparatus for transmitting instruction information according to an exemplary embodiment;

[0089] Figure 9 This is a structural diagram of another device for transmitting instruction information according to an exemplary embodiment;

[0090] Figure 10 This is a structural diagram of another device for transmitting instruction information according to an exemplary embodiment;

[0091] Figure 11 This is a structural diagram of another device for transmitting instruction information according to an exemplary embodiment. Detailed Implementation

[0092] The embodiments of this disclosure will now be further described in conjunction with the accompanying drawings and specific implementation details.

[0093] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with those of this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0094] refer to Figure 1 This is a schematic diagram of a system architecture provided by an embodiment of the present disclosure. The system includes a user equipment 101, a base station 102, a server 103, and an Operation Administration and Maintenance (OAM) entity 104. The user equipment 101 and the base station 102 communicate via a wireless channel, the base station 102 communicates with the server 103 via a wired channel, and the base station 102 communicates with the OAM 104 via a wired channel.

[0095] This disclosure provides a method for transmitting indication information, which is performed by a base station. (Refer to...) Figure 2 , Figure 2 This is a flowchart illustrating a method for transmitting indication information according to an exemplary embodiment, such as... Figure 2 As shown, this method includes:

[0096] Step S201: Determine the discontinuous reception mode of the user equipment based on the service data traffic and channel state information of the user equipment in the current discontinuous reception period.

[0097] Step S202: Send first indication information to the user equipment, the first indication information being used to indicate the discontinuous reception mode.

[0098] In this embodiment of the disclosure, the discontinuous reception mode of the user equipment is determined based on the service data traffic and channel state information of the user equipment in the current discontinuous reception period. This can make the determined discontinuous reception mode related to the real-time communication situation, thereby making the discontinuous reception mode more intelligent and reasonable.

[0099] This disclosure provides a method for transmitting indication information, which is performed by a base station. The method includes:

[0100] The service data traffic and channel state information of the user equipment in the current discontinuous reception period are input into the deep learning model to determine the N evaluation values ​​output by the deep learning model, and the discontinuous reception mode corresponding to the largest evaluation value among the N evaluation values ​​is determined.

[0101] Send a first indication message to the user equipment, the first indication message being used to indicate the discontinuous reception mode.

[0102] In some possible implementations, the deep learning model is a deep reinforcement learning model.

[0103] In some possible implementations, the deep learning model is a neural network model. The structure of the neural network model can be set up as follows. The structure of the deep neural network model mainly includes an input layer, an output layer, and hidden layers. The input layer can have 2 nodes, used for inputting service data traffic and channel state information respectively; the hidden layer can have L layers, where L balances both model capacity and generalization ability, and the number of nodes in each hidden layer can be S; the output layer is responsible for outputting the final result, and the number of nodes in the output layer can be N, corresponding to the Q-value result for each discontinuous reception mode, where N depends on the number of discontinuous reception modes set.

[0104] The connection methods of a neural network model can be set as follows: For connections between layers, consider fully connected connections between hidden layers and the input layer, and between hidden layers themselves, using the ReLU activation function; for connections between hidden layers and the output layer, use the softmax activation function. During model training, forward propagation is used to pass data values, and backpropagation is used to pass gradient values.

[0105] In some possible implementations, the evaluation value is represented by Q(s,a), where state s represents the service data traffic and channel state information in the current discontinuous reception period, action a represents the discontinuous reception mode configured by the base station for the user equipment, and each Q value represents the long-term future value brought about by choosing a certain action a in state s. The level of the Q value measures whether the action should be selected.

[0106] The hyperparameters of a neural network model can be set using the following methods. The number of learning epochs can be set to T, and the setting of the number of learning epochs needs to consider the impact on model training speed, training cost, and model training accuracy; the learning rate can be set to a; the reward decay can be set to γ; and random weight initialization should be selected as the weight initialization method.

[0107] In one possible implementation, the process of training a neural network model using sample data includes steps 1 through 4.

[0108] Step 1: Use the service data traffic and channel state information of the first DRX cycle in the sample data as the initial state s. 1 The selected discontinuous reception mode is used as action a. 1 And obtain the corresponding Q value Q(s) 1 a 1 ).

[0109] Step 2: Based on the channel state information of the first DRX cycle in the sample data and the selected discontinuous reception mode, calculate the energy consumption and other indicators of the user equipment under this state, and generate the reward value R.

[0110] When calculating the energy consumption of user equipment, each time slot within the DRX cycle can be considered as the research object. The signal-to-noise ratio (SNR) can be calculated using channel state information, leading to the modulation and coding scheme. This allows us to calculate how many time slots are needed to transmit a data packet. Based on the current time slot's state (sleep, active, inactive, etc.), corresponding tasks are performed. For example, in the active state, PDCCH monitoring is performed; in the inactive state, data reception or continued PDCCH monitoring is performed; and in the sleep state, neither PDCCH monitoring nor data reception is performed. Whether a state transition occurs is determined by timer expiration, such as the transition from active to inactive, or from inactive to sleep. Energy consumption is calculated based on the state of each time slot. Finally, the energy consumption of each time slot is summed to obtain the energy consumption E for one DRX cycle. Based on the calculated energy consumption E, the reward value R is obtained: R = cE.

[0111] Where c represents the ratio factor by which energy consumption is converted into reward value.

[0112] Step 3, based on the state s of the next DRX cycle in the sample data. ’ Find the largest Q value Q(s) among the Q values ​​corresponding to different actions. 2 a 2 ),Right now

[0113] Q(s 2 a 2 ) = max a′ Q(s′,a′)

[0114] According to Q(s) 2 a 2 Calculate the loss function to be optimized:

[0115] Loss=R+γQ(s 2 a 2 )-Q(s1 a 1 )

[0116] Where γ is the reward decay, R is the reward value, and Q(s) 1 a 1 The current Q value is denoted as . The model is trained according to the calculated loss function, and the specific method for updating the parameters can be stochastic gradient descent (SGD).

[0117] Step 4, in the next iteration, s ’ =s 2 As the current state, repeat steps 1-4 until training is successful.

[0118] Since the historical data contains data from T consecutive DRX cycles, a total of (T-1) rounds of training will be performed until training is complete.

[0119] In this embodiment, different discontinuous reception modes are set to adapt to different service traffic conditions. The base station acquires a deep learning model, inputs the service data traffic and channel state information of the user equipment in the current discontinuous reception period into the deep learning model, selects the discontinuous reception mode corresponding to the highest evaluation value from the N discontinuous reception modes output by the deep learning model, and notifies the user equipment of the selected discontinuous reception mode. By training the deep learning model on the correspondence between service data transmission conditions and the evaluation values ​​corresponding to discontinuous reception modes, a successfully trained deep learning model is obtained. Using this successfully trained deep learning model, the most suitable discontinuous reception mode for the current application situation is adaptively selected. The discontinuous reception mode can be automatically adjusted according to the service data transmission conditions, reducing the power consumption of the user equipment, improving energy saving, and maintaining an effective balance between energy saving and service quality.

[0120] This disclosure provides a method for transmitting indication information, which is performed by a base station. The method includes:

[0121] The deep learning model is obtained by training based on sample data, or by receiving the deep learning model from a server, wherein the deep learning model is obtained by training based on sample data.

[0122] The user equipment's service data traffic and channel state information in the current DRX cycle are input into the deep learning model to determine N evaluation values ​​output by the deep learning model, and the discontinuous reception mode corresponding to the largest evaluation value among the N evaluation values ​​is determined.

[0123] Send a first indication message to the user equipment, the first indication message being used to indicate the discontinuous reception mode.

[0124] In this embodiment of the disclosure, the same fixed deep learning model is used to determine the discontinuous reception mode in each DRX cycle.

[0125] The following two examples will provide a detailed description.

[0126] In the first embodiment, the training process is performed by the base station to obtain a successfully trained deep learning model.

[0127] In a first embodiment, a method for transmitting indication information is provided, the method being performed by a base station. This method includes:

[0128] Step 1: In the Tth DRX period, train the deep learning model based on the sample data to obtain the model, where T is an integer greater than 1.

[0129] Step 2: Input the service data traffic and channel state information of the user equipment in the Tth DRX period into the deep learning model, determine the N evaluation values ​​output by the deep learning model, and determine the discontinuous reception mode corresponding to the largest evaluation value among the N evaluation values;

[0130] Step 3: During the T-th DRX cycle, send first indication information to the user equipment. The first indication information is used to indicate the discontinuous reception mode. The discontinuous reception mode indicated by the first indication information is the discontinuous reception mode determined in step 2.

[0131] Step 4: In the T+1 DRX cycle, input the service data traffic and channel state information of the user equipment in the T+1 DRX cycle into the deep learning model, determine the N evaluation values ​​output by the deep learning model, and determine the discontinuous reception mode corresponding to the largest evaluation value among the N evaluation values.

[0132] Step 5: In the (T+1)th DRX cycle, send first indication information to the user equipment. The first indication information is used to indicate the discontinuous reception mode. The discontinuous reception mode indicated by the first indication information is the discontinuous reception mode determined in step 4.

[0133] And so on;

[0134] In each subsequent DRX cycle, the deep learning model is used to determine the discontinuous reception mode within the corresponding DRX cycle, and this discontinuous reception mode is notified to the user equipment using the first indication information.

[0135] In the second embodiment, the server executes the training process and obtains a successfully trained deep learning model.

[0136] In a second embodiment, a method for transmitting indication information is provided, the method being performed by a base station. This method includes:

[0137] Step 1: Receive the deep learning model from the server during the T-th DRX cycle; wherein the deep learning model is obtained by training based on sample data, and T is an integer greater than 1;

[0138] Step 2: Input the service data traffic and channel state information of the user equipment in the Tth DRX period into the deep learning model, determine the N evaluation values ​​output by the deep learning model, and determine the discontinuous reception mode corresponding to the largest evaluation value among the N evaluation values;

[0139] Step 3: During the T-th DRX cycle, send first indication information to the user equipment. The first indication information is used to indicate the discontinuous reception mode. The discontinuous reception mode indicated by the first indication information is the discontinuous reception mode determined in step 2.

[0140] Step 4: In the T+1 DRX cycle, input the service data traffic and channel state information of the user equipment in the T+1 DRX cycle into the deep learning model, determine the N evaluation values ​​output by the deep learning model, and determine the discontinuous reception mode corresponding to the largest evaluation value among the N evaluation values.

[0141] Step 5: In the (T+1)th DRX cycle, send first indication information to the user equipment. The first indication information is used to indicate the discontinuous reception mode. The discontinuous reception mode indicated by the first indication information is the discontinuous reception mode determined in step 4.

[0142] And so on;

[0143] In each subsequent DRX cycle, the deep learning model is used to determine the discontinuous reception mode within the corresponding DRX cycle, and this discontinuous reception mode is notified to the user equipment using the first indication information.

[0144] This disclosure provides a method for transmitting indication information, which is performed by a base station. The method includes:

[0145] Within the current discontinuous reception period, acquire historical data of the user equipment within the most recent M consecutive discontinuous reception periods; or, when the current discontinuous reception period corresponds to an update opportunity, acquire historical data of the user equipment within the most recent M consecutive discontinuous reception periods; wherein, the update opportunity corresponds to performing a model update once every K discontinuous reception periods; K and M are integers greater than 1, and K is greater than or equal to M; the historical data includes historical parameters of the user equipment within the M consecutive discontinuous reception periods, and the historical parameters include service data traffic, channel state information, the selected discontinuous reception mode, and evaluation values ​​corresponding to N discontinuous reception modes.

[0146] The deep learning model is obtained based on historical data from the user equipment over the M consecutive discontinuous reception periods.

[0147] The user equipment's service data traffic and channel state information in the current DRX cycle are input into the deep learning model to determine N evaluation values ​​output by the deep learning model, and the discontinuous reception mode corresponding to the largest evaluation value among the N evaluation values ​​is determined.

[0148] Send a first indication message to the user equipment, the first indication message being used to indicate the discontinuous reception mode.

[0149] In some possible implementations, obtaining the deep learning model based on historical data from the user equipment over the M consecutive DRX cycles includes:

[0150] The base station updates the first model based on the historical data of the user equipment within the M consecutive DRX cycles to obtain the deep learning model. The first model is a model trained based on sample data, or the first model is a model trained based on sample data and the historical data of the user equipment within the M consecutive DRX cycles within a set historical time period.

[0151] In some possible implementations, obtaining the deep learning model based on the historical data of the user equipment within the M consecutive DRX cycles includes: sending the historical data of the user equipment within the M consecutive DRX cycles to a server, and receiving the deep learning model from the server. The deep learning model is obtained by updating a first model using the historical data of the user equipment within the M consecutive DRX cycles. The first model is a model trained based on sample data, or the first model is a model trained based on sample data and the historical data of the user equipment within the M consecutive DRX cycles over a set historical period.

[0152] In this embodiment of the disclosure, the deep learning model is updated using historical data from the user equipment over the M consecutive DRX cycles, enabling the deep learning model to track and learn the latest real historical data from the user equipment, making the output of the deep learning model more intelligent and accurate, and improving the generalization performance of the model.

[0153] The following two examples will provide a detailed description.

[0154] In the first embodiment, the deep learning model is updated once every K DRX cycles.

[0155] In the first example, a method for transmitting indication information is provided, which is performed by a base station. This method includes:

[0156] Step 1: Receive a deep learning model from the server during the T-th DRX cycle. The input data of the deep learning model includes the service data traffic and channel state information within the DRX cycle, and the output data consists of N evaluation values, each corresponding to a discontinuous reception mode, where N is an integer greater than 1.

[0157] The deep learning model received from the server is trained using a sample set.

[0158] Step 2: During the Tth DRX cycle, the service data traffic and channel state information of the user equipment during the Tth DRX cycle are input into the deep learning model to obtain the output result of the deep learning model. The output result consists of N evaluation values. The discontinuous reception mode corresponding to the largest evaluation value among the N evaluation values ​​is determined. During the Tth DRX cycle, first indication information is sent to the user equipment. The first indication information is used to indicate the discontinuous reception mode.

[0159] Step 3: In each DRX period from the (T+1)th DRX period to the (T+K-1)th DRX period, the service data traffic and channel state information of the corresponding DRX period are input into the deep learning model to obtain the output result of the deep learning model. The output result consists of N evaluation values. The discontinuous reception mode corresponding to the largest evaluation value among the N evaluation values ​​is determined. In the corresponding DRX period, a first indication information is sent to the user equipment. The first indication information is used to indicate the determined discontinuous reception mode.

[0160] Step 4: Within the T+Kth DRX period, acquire the historical data of the user equipment for the most recent M consecutive DRX periods; wherein, the historical data includes historical parameters of the user equipment for the most recent M consecutive DRX periods, and the historical parameters include service data traffic, channel state information, selected discontinuous reception mode, and evaluation values ​​corresponding to N discontinuous reception modes; wherein, K and M are integers greater than 1; K is equal to M or greater than M. Send the historical data of the user equipment for the most recent M consecutive DRX periods to the server;

[0161] Receive the updated deep learning model from the server;

[0162] Within the T+Kth DRX cycle, the service data traffic and channel state information of the user equipment within the T+Kth DRX cycle are input into the updated deep learning model to determine the N evaluation values ​​output by the updated deep learning model, and the discontinuous reception mode corresponding to the largest evaluation value among the N evaluation values ​​is determined; a first indication information is sent to the user equipment, the first indication information being used to indicate the discontinuous reception mode.

[0163] Step 5: In each DRX period from the T+K+1th DRX period to the T+2K-1th DRX period, input the service data traffic and channel state information of the current DRX period into the deep learning model obtained in step 4 to obtain the output result, which is N evaluation values. Determine the discontinuous reception mode corresponding to the largest evaluation value among the N evaluation values, and send the first indication information to the user equipment in the current DRX period. The first indication information is used to indicate the determined discontinuous reception mode.

[0164] Step 6: Within the T+2Kth DRX period, acquire the historical data of the user equipment for the most recent M consecutive DRX periods; send the historical data of the user equipment for the most recent M consecutive DRX periods to the server. Receive the updated deep learning model from the server. Within the T+2Kth DRX period, input the service data traffic and channel state information of the user equipment within the T+2Kth DRX period into the updated deep learning model, determine the N evaluation values ​​output by the updated deep learning model, determine the discontinuous reception mode corresponding to the largest evaluation value among the N evaluation values; send first indication information to the user equipment, the first indication information being used to indicate the discontinuous reception mode.

[0165] And so on.

[0166] The deep learning model is processed once every K DRX cycles, and the discontinuous reception mode is determined using the most recently updated deep learning model in each DRX cycle between two updates.

[0167] In some possible implementations, the updated deep learning model in step 4 is obtained by training the server on the deep learning model in step 1 of this embodiment using historical data from the user equipment over M consecutive DRX cycles during the loop process.

[0168] In some possible implementations, the updated deep learning model in step 4 is obtained by the server based on the deep learning model in step 1 of this embodiment of the disclosure, and trained using historical data from the user equipment over the latest M consecutive DRX periods.

[0169] In the second example, the deep learning model is updated once per DRX cycle.

[0170] In the second example, a method for transmitting indication information is provided, which is performed by a base station. This method includes:

[0171] Step 1: Receive a deep learning model from the server during the T-th DRX cycle. The input data of the deep learning model includes the service data traffic and channel state information within the DRX cycle, and the output data consists of N evaluation values, each corresponding to a discontinuous reception mode, where N is an integer greater than 1.

[0172] The deep learning model received from the server is trained using a sample set.

[0173] Step 2: During the Tth DRX cycle, the service data traffic and channel state information of the user equipment during the Tth DRX cycle are input into the deep learning model to obtain the output result of the deep learning model. The output result consists of N evaluation values. The discontinuous reception mode corresponding to the largest evaluation value among the N evaluation values ​​is determined. During the Tth DRX cycle, first indication information is sent to the user equipment. The first indication information is used to indicate the discontinuous reception mode.

[0174] Step 3: Within the (T+1)th DRX cycle, acquire the historical data of the user equipment in the most recent M consecutive DRX cycles, and send the historical data of the user equipment in the M consecutive DRX cycles to the server; receive the updated deep learning model from the server, input the service data traffic and channel state information of the user equipment in the (T+1)th DRX cycle into the updated deep learning model, determine the N evaluation values ​​output by the updated deep learning model, determine the discontinuous reception mode corresponding to the largest evaluation value among the N evaluation values; send first indication information to the user equipment, the first indication information being used to indicate the discontinuous reception mode.

[0175] Step 4: Within the T+2nd DRX cycle, acquire the historical data of the user equipment in the most recent M consecutive DRX cycles, and send the historical data of the user equipment in the M consecutive DRX cycles to the server; receive the updated deep learning model from the server, input the service data traffic and channel state information of the user equipment in the T+2nd DRX cycle into the updated deep learning model, determine the N evaluation values ​​output by the updated deep learning model, determine the discontinuous reception mode corresponding to the largest evaluation value among the N evaluation values; send first indication information to the user equipment, the first indication information being used to indicate the discontinuous reception mode.

[0176] Similarly, the deep learning model is processed once per DRX cycle, and the discontinuous reception mode is determined using the updated deep learning model from the corresponding DRX cycle within each DRX cycle.

[0177] This disclosure provides a method for transmitting indication information, which is performed by a base station. The method includes:

[0178] A request message is sent to the OAM (Operating Account Management) to request historical data of the user equipment (UE) over the most recent M consecutive DRX (Digital Reference Scale) cycles. A second indication message is received from the OAM, indicating that data is ready and providing a first address; wherein the first address is the address used to store the historical data of the UE over the M consecutive DRX cycles; the historical data of the UE over the M consecutive DRX cycles is retrieved from the first address.

[0179] The deep learning model is obtained based on the historical data of the user equipment over the M consecutive DRX cycles.

[0180] The user equipment's service data traffic and channel state information in the current DRX cycle are input into the deep learning model to determine N evaluation values ​​output by the deep learning model, and the discontinuous reception mode corresponding to the largest evaluation value among the N evaluation values ​​is determined.

[0181] Send a first indication message to the user equipment, the first indication message being used to indicate the discontinuous reception mode.

[0182] In one possible implementation, a subscription request is sent to the OAM (Operating Access Management) system. This subscription request includes the user equipment's identification information and a request for obtaining historical data of the user equipment over M consecutive DRX (Digital Reference Scale) periods. Upon receiving the subscription request from the base station, the OAM checks whether the base station has successfully subscribed to the requested data. If the subscription is successful, the OAM begins preparing the subscribed data. If the data subscription is unsuccessful, no data preparation is performed. After preparing the data file, the OAM sends a second indication message to the base station, indicating that the data is ready and providing a first address. The first address is the address used to store the historical data of the user equipment over the M consecutive DRX periods.

[0183] In one example, such as Figure 3 As shown, the historical data of the user equipment within the most recent M consecutive DRX cycles is obtained, including:

[0184] Step 1: The base station sends a data subscription request to the OAM and notifies it of the user equipment ID and other information to be obtained. Specifically, it sends a data subscription (Subscribe) request to the OAM, requesting to obtain the historical data of the user equipment ID within the most recent M consecutive DRX periods.

[0185] Step 2: After receiving the subscription request from the base station, OAM decides whether the base station can subscribe to the user equipment's data.

[0186] If the base station successfully subscribes to data, an OAM notification will be sent to the base station indicating successful subscription; if the base station fails to subscribe to data, an OAM notification will be sent indicating unsuccessful subscription.

[0187] Step 3: After notifying the base station, if the data subscription is successful, OAM begins preparing the data file subscribed to by the base station and looks up the corresponding data according to the user equipment ID; if the data subscription is unsuccessful, no data is prepared.

[0188] Step 4: After the OAM prepares the data file, notify the base station that the data file is ready (NotifyFileReady) and inform the base station of the storage address of the data file.

[0189] Step 5: After receiving the NotifyFileReady message sent by OAM, the base station retrieves the data file from the file storage address through a file transfer protocol (FTP) and stores it.

[0190] This disclosure provides a method for transmitting indication information, which is performed by a base station. The method includes:

[0191] Every M DRX cycles, a request message is sent to the operation and maintenance management entity. The request message is used to request the historical data of the user equipment within the M consecutive DRX cycles.

[0192] The system receives a second instruction message from the operation and maintenance management entity. The second instruction message indicates that the data is ready and includes a first address. The first address is used to store the historical data of the user equipment over M consecutive DRX cycles. The system retrieves the historical data of the user equipment over M consecutive DRX cycles from the first address. The historical data includes historical parameters of the user equipment over M consecutive DRX cycles, including service data traffic, channel state information, the selected discontinuous reception mode, and evaluation values ​​corresponding to N discontinuous reception modes.

[0193] A deep learning model is obtained based on historical data from the user equipment over M consecutive DRX cycles.

[0194] The user equipment's service data traffic and channel state information in the current DRX cycle are input into the deep learning model to determine N evaluation values ​​output by the deep learning model, and the discontinuous reception mode corresponding to the largest evaluation value among the N evaluation values ​​is determined.

[0195] Send a first indication message to the user equipment, the first indication message being used to indicate the discontinuous reception mode.

[0196] In this embodiment of the disclosure, the deep learning model is updated once every M DRX cycles, so that the deep learning model is continuously updated according to the real-time data of the user device, thereby continuously improving the accuracy of the deep learning model.

[0197] This disclosure provides a method for transmitting indication information, which is performed by a base station. The method includes:

[0198] The discontinuous reception mode of the user equipment is determined based on the service data traffic and channel state information of the user equipment in the current DRX cycle;

[0199] Downlink control information is sent to the user equipment via PDCCH, wherein the downlink control information includes the first indication information, which is used to indicate the discontinuous reception mode.

[0200] In some possible implementations, before sending downlink control information to the user equipment via PDCCH, the method further includes: the base station sending an RRC Setup (RRCSetup) signaling message or an RRC Reestablishment (RRCReestablishment) instruction to the user equipment to request the establishment or re-establishment of an RRC connection, where RRC Setup indicates the establishment of an RRC connection and RRC Reestablishment indicates the re-establishment of an RRC connection. After receiving the signaling message, the user equipment sends a signaling message to the base station indicating that the RRC connection establishment has been completed (RRCSetupComplete) or that the RRC connection re-establishment has been completed (RRCReestablishmentComplete), where RRC SetupComplete indicates the completion of the RRC connection establishment and RRCReestablishmentComplete indicates the completion of the RRC connection re-establishment.

[0201] This disclosure provides a method for transmitting indication information, which is performed by a base station. The method includes:

[0202] The discontinuous reception mode of the user equipment is determined based on the service data traffic and channel state information of the user equipment in the current DRX cycle;

[0203] A reference signal is sent to the user equipment via PDSCH, wherein the reference signal includes the first indication information.

[0204] This disclosure provides a method for transmitting indication information, which is performed by a base station. The method includes:

[0205] The discontinuous reception mode of the user equipment is determined based on the service data traffic and channel state information of the user equipment in the current DRX cycle;

[0206] MAC-CE information is sent to the user equipment via PDSCH, wherein the MAC-CE information includes the first indication information.

[0207] This disclosure provides a method for transmitting indication information, which is performed by a base station. The method includes:

[0208] The discontinuous reception mode of the user equipment is determined based on the service data traffic and channel state information of the user equipment in the current DRX cycle;

[0209] Send a first indication message and a third indication message to the user equipment, wherein the first indication message is used to indicate the discontinuous reception mode, and the third indication message is used to indicate that the discontinuous reception mode corresponds to a wake-up user mode or a non-wake-up user mode.

[0210] In some possible implementations, downlink control information is sent to the user equipment via PDCCH, wherein the downlink control information includes first indication information and third indication information, wherein the first indication information is used to indicate the discontinuous reception mode, and 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.

[0211] In one possible implementation, two discontinuous reception modes are included: a first discontinuous reception mode corresponding to a wake-up user mode and a second discontinuous reception mode corresponding to a non-wake-up user mode.

[0212] In one possible implementation, the downlink control information (DCI) sent to the user equipment is DCI format 3_0. This DCI format 3_0 includes a 1-bit setting bit, where a value of 1 indicates wake-up user mode, and a value of 0 indicates no wake-up user mode.

[0213] In one possible implementation, the base station scrambles the Cyclic Redundancy Check (CRC) field of DCI format 3_0 using a Power Saving Radio Network Temporary Identity (PS-RNTI), and then transmits the DCI to the user equipment via the PDCCH.

[0214] In some possible implementations, a reference signal is sent to the user equipment via PDSCH, wherein the reference signal includes first indication information and third indication information, wherein the first indication information is used to indicate the discontinuous reception mode, and 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.

[0215] In some possible implementations, MAC-CE information is sent to the user equipment via PDSCH, wherein the MAC-CE information includes the first indication information and the third indication information, wherein the first indication information is used to indicate the discontinuous reception mode, and 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.

[0216] This disclosure provides a method for transmitting indication information, which is performed by a base station. The method includes:

[0217] The discontinuous reception mode of the user equipment is determined based on the service data traffic and channel state information of the user equipment in the current DRX cycle;

[0218] Send a first indication message and a third indication message to the user equipment, wherein the first indication message is used to indicate the discontinuous reception mode, and the third indication message is used to indicate that the discontinuous reception mode corresponds to a wake-up user mode or a non-wake-up user mode.

[0219] When the discontinuous reception mode corresponds to the wake-up user mode, an RRC signaling is sent to the user equipment; wherein, the RRC signaling includes fourth indication information, which is used to indicate the time slot interval for physical downlink control channel (PDCCH) detection.

[0220] Different discontinuous reception modes correspond to different time slot intervals.

[0221] In some possible implementations, the RRC signaling includes fourth indication information, including:

[0222] The control slot periodicity and offset field in the search space information element of the control resource set in the PDCCH configuration information (PDCCH-Config) of the RRC signaling is used to indicate the fourth indication information.

[0223] In one possible implementation, as shown in Table 1, four discontinuous reception modes are included.

[0224] Table 1

[0225]

[0226] When the discontinuous reception mode corresponds to the wake-up user mode, the PDCCH monitoring period needs to be configured. This requires configuring the `MonitoringSlotPeriodicityAndOffset` element within the `SearchSpace` information element, which indicates how many time slots are used for PDCCH monitoring. Several options are available, including `sl1`, `sl2`, and `sl4`, representing 1, 2, and 4 time slots respectively for PDCCH monitoring. `sl4` means PDCCH monitoring is performed in every time slot. The purpose of this is to reduce the PDCCH monitoring period after the user equipment wakes up, thus saving energy. Therefore, different configurations are selected based on different traffic conditions: a shorter monitoring period is chosen when traffic is high, and a longer period is chosen when traffic is low.

[0227] Referring to Table 1, the mode without waking up the user is designated as discontinuous reception mode 0, the mode with the user woken up and MonitoringSlotPeriodicityAndOffset set to sl1 is designated as discontinuous reception mode 1, the mode with the user woken up and MonitoringSlotPeriodicityAndOffset set to sl2 is designated as discontinuous reception mode 2, and the mode with the user woken up and MonitoringSlotPeriodicityAndOffset set to sl4 is designated as discontinuous reception mode 3.

[0228] In some possible implementations, the user equipment monitors the PDCCH carrying the Wake Up Signal (WUS) for a period of time after the PS_offset (upper-layer parameter configuration). If the PDCCH is detected, it receives the data. The user equipment decodes the DCI format 3_0 data scrambled by PS-RNTI, obtains the discontinuous reception mode information based on the data of the corresponding fields, and executes the corresponding discontinuous reception mechanism.

[0229] The user equipment executes different DRX mechanisms based on the indicated discontinuous reception mode information. Specifically:

[0230] If the information obtained by the user equipment indicates that the user mode should not be woken up, the user equipment will not perform PDCCH monitoring and data reception in the next DRX cycle and will remain in sleep mode.

[0231] If the information obtained by the user equipment indicates that the user should be woken up, the user equipment will enter the ON state in the next DRX cycle, start PDCCH monitoring, and when scheduled data arrives, start the Inactivity timer to receive data and enter the Inactivity state. At the same time, the user equipment obtains the PDCCH monitoring cycle according to the RRC signaling, determines the PDCCH monitoring cycle for the ON state (DRX ON) and the Inactivity state (Inactivity), and executes the corresponding mechanism.

[0232] like Figure 4 As shown, for discontinuous reception mode 0, before a DRX cycle begins, the user equipment receives DCI format 3_0 information sent by the base station. The DCI instructs the user equipment to enter discontinuous reception mode 0. In the next DRX cycle, the user equipment enters a sleep state, does not start the drx-onDuration timer, and does not perform PDCCH monitoring and data reception until the end of the DRX cycle.

[0233] like Figure 5 As shown, for the three discontinuous reception modes 1, 2, and 3, before a DRX cycle begins, the user equipment (UE) receives DCI format 3_0 information from the base station, instructing the UE to enter a specific mode. In the next DRX cycle, the UE starts the drx-onDuration timer, entering the DRX ON state. During this time, the UE continuously monitors the PDCCH channel. If the UE detects scheduled data being sent, it starts the drx-Inactivity timer, transitioning from the DRX ON state to the DRX Inactivity state, and begins receiving data on the PDSCH channel. The UE resets the drx-Inactivity timer when new data arrives, continuing until the timer expires, then re-entering the DRX ON state and continuously monitoring the PDCCH channel until the drx-onDuration timer expires, entering a sleep state until the end of the DRX cycle. Throughout the entire DRX cycle, the UE monitors the PDCCH according to the PDCCH monitoring period determined in the received RRC signaling.

[0234] In another implementation, the user equipment transitions from the DRX ON state to the DRX Inactivity state, begins receiving data on the PDSCH channel, and resets the drx-Inactivity timer when new data arrives. When the drx-Inactivity timer expires or a DRX Command MAC control element is received, the user equipment uses a long DRX cycle. If the user uses a long DRX cycle, and the frame number SFN and subframe number meet set conditions, the user activates the drx-onDuration timer. In one example, the set condition is [(SFN×10)+subframe number]modulo(drx-LongCycle)=drx-StartOffset.

[0235] This disclosure provides a method for transmitting indication information, which is performed by a base station. The method includes:

[0236] The user equipment's service data traffic and channel state information in the current DRX cycle are input into the deep learning model to determine N evaluation values ​​output by the deep learning model, and the discontinuous reception mode corresponding to the largest evaluation value among the N evaluation values ​​is determined.

[0237] Send a first indication message to the user equipment, the first indication message being used to indicate the discontinuous reception mode.

[0238] After the current DRX cycle ends, the historical data of the user equipment during the current DRX cycle is constructed and sent to the operation and maintenance management entity. The historical data during the current DRX cycle includes service data traffic, channel state information, the selected discontinuous reception mode, and the evaluation value corresponding to the discontinuous reception mode.

[0239] In some possible implementations, constructing historical data of the user equipment within the current DRX cycle and sending this historical data to the operation and maintenance management entity includes:

[0240] The base station counts the service data traffic sent from the network side to the user equipment via the base station during the current DRX period.

[0241] The base station receives Channel State Information (CSI) periodically reported by user equipment through the PUCCH channel to determine the channel state information for the current DRX period.

[0242] The base station records the discontinuous reception pattern of notifications sent to user equipment.

[0243] The base station records the evaluation value corresponding to the discontinuous reception mode.

[0244] The base station constructs the user equipment's historical data for the current DRX period from the user equipment's service data traffic, channel state information, selected discontinuous reception mode, and the evaluation value corresponding to the discontinuous reception mode.

[0245] The OAM sends the historical data of the user equipment within the current DRX period to the OAM, enabling the OAM to save the historical data within the current DRX period. After receiving the historical data within the current DRX period sent by the base station, the OAM creates a new record representing the historical data within the current DRX period, and stores each data item in the historical data accordingly, forming a complete historical data record.

[0246] In this embodiment of the disclosure, after each DRX cycle ends, the base station sends the historical data of the user equipment in the current DRX cycle to the OAM to facilitate the subsequent model update process.

[0247] The following two specific embodiments will be described in detail. Specific Implementation Example 1

[0249] like Figure 6 As shown, the method by which a base station instructs a user equipment to perform discontinuous reception includes:

[0250] Step 1: The base station uses a deep learning model to determine the discontinuous reception mode, and the mode number is determined to be mode 0.

[0251] Step 2: The base station establishes an RRC connection with the user equipment and sends signaling (RRCSetup / RRCReestablishment) to the user equipment to establish or re-establish the RRC connection.

[0252] Step 3: The user equipment receives the signaling sent by the base station to establish or re-establish the RRC connection.

[0253] Step 4: The user equipment performs the establishment or re-establishment of the RRC connection and sends a signaling message to the base station indicating that the establishment or re-establishment of the RRC connection has been completed (RRCSetupComplete / RRCReestablishmentComplete).

[0254] Step 5: The base station carries the information on DCI format 3_0 according to the selected discontinuous reception mode number, and sets the information bits of DCI format 3_0 to 0.

[0255] Step 6: The base station encapsulates DCI, scrambles CRC using PS-RNTI, and sends it to the user equipment through the PDCCH channel.

[0256] Step 7: The user equipment receives the DCI and decodes it to obtain the information carried, and determines the discontinuous reception mode 0.

[0257] Step 8: The user equipment executes a discontinuous reception mechanism. In the next DRX cycle, the user equipment enters a sleep state, does not start the drx-onDuration timer, and does not perform PDCCH monitoring and data reception until the end of the DRX cycle.

[0258] Step 9: The base station sends an RRC Release signaling message to the user equipment. Specific Implementation Example 2

[0260] like Figure 7 As shown, the method by which a base station instructs a user equipment to perform discontinuous reception includes:

[0261] Step 1: The base station uses a deep learning model to determine the discontinuous reception mode, and the mode number is determined to be mode 1.

[0262] Step 2: The base station establishes an RRC connection with the user equipment and sends signaling (RRCSetup / RRCReestablishment) to the user equipment to establish or re-establish the RRC connection.

[0263] Step 3: The user equipment receives the signaling from the base station to establish or re-establish the RRC connection.

[0264] Step 4: The user equipment performs the establishment or re-establishment of the RRC connection and replies to the base station with the signaling that the establishment or re-establishment of the RRC connection has been completed (RRCSetupComplete / RRCReestablishmentComplete).

[0265] Step 5: The base station carries the information on DCI format 3_0 according to the selected discontinuous reception mode, and sets the information bits of DCIformat3_0 to 1. At the same time, the base station encapsulates the RRC signaling PDCCH-Config, in which the value of the information element MonitoringSlotPeriodicityAndOffset is set to sl1 according to the selected discontinuous reception mode.

[0266] Step 6: The base station encapsulates the DCI, scrambles the CRC using PS-RNTI, and sends it to the user equipment via the PDCCH channel. Simultaneously, the base station sends the encapsulated RRC signaling PDCCH-Config to the user equipment.

[0267] Step 7: The user equipment receives the DCI and decodes it to obtain the bearer information, determining the discontinuous reception mode. Simultaneously, the user equipment receives the RRC signaling PDCCH-Config to obtain the PDCCH monitoring period.

[0268] Step 8: The user equipment executes the discontinuous reception mechanism according to the discontinuous reception mode. The user equipment opens the OnDuration timer in the next DRX cycle, continuously monitors the PDCCH channel according to the PDCCH monitoring cycle, and opens the Inactivity timer to receive data when scheduled data arrives.

[0269] Step 9: The base station sends an RRC Release signaling message to the user equipment.

[0270] In other specific embodiments, when the mode number is mode 2 or mode 3, it is similar to... Figure 7 The process corresponding to mode 1 shown is similar and will not be repeated here.

[0271] This disclosure provides a method for transmitting indication information, which is performed by a user equipment. The method includes:

[0272] Receive first indication information from the base station, the first indication information being used to indicate the discontinuous reception mode;

[0273] According to the discontinuous reception mode, discontinuous reception is performed.

[0274] This disclosure provides a method for transmitting indication information, which is performed by a user equipment. The method includes:

[0275] Downlink control information is received from the base station via PDCCH, wherein the downlink control information includes the first indication information;

[0276] According to the discontinuous reception mode, discontinuous reception is performed.

[0277] This disclosure provides a method for transmitting indication information, which is performed by a user equipment. The method includes:

[0278] A reference signal is received from the base station via PDSCH, wherein the reference signal includes the first indication information.

[0279] According to the discontinuous reception mode, discontinuous reception is performed.

[0280] In some possible implementations, receiving a reference signal from the base station via a PDSCH includes: receiving and parsing to obtain location information corresponding to the reference signal, and obtaining first indication information from the location corresponding to the PDSCH based on the location information.

[0281] This disclosure provides a method for transmitting indication information, which is performed by a user equipment. The method includes:

[0282] MAC-CE information is received from the base station via PDSCH, wherein the MAC-CE information includes the first indication information.

[0283] According to the discontinuous reception mode, discontinuous reception is performed.

[0284] In some possible implementations, receiving MAC-CE information from the base station via PDSCH includes: receiving and parsing to obtain location information corresponding to the MAC-CE information, and obtaining first indication information from the location corresponding to the PDSCH based on the location information.

[0285] This disclosure provides a method for transmitting indication information, which is performed by a user equipment. The method includes:

[0286] The system receives a first indication information and a third indication information from the base station. The first indication information is used to indicate the discontinuous reception mode, and the third indication information is used to indicate that the discontinuous reception mode corresponds to either a wake-up user mode or a non-wake-up user mode.

[0287] According to the discontinuous reception mode, discontinuous reception is performed.

[0288] This disclosure provides a method for transmitting indication information, which is performed by a user equipment. The method includes:

[0289] The system receives a first indication information and a third indication information from the base station. The first indication information is used to indicate the discontinuous reception mode, and the third indication information is used to indicate that the discontinuous reception mode corresponds to either a wake-up user mode or a non-wake-up user mode.

[0290] When the discontinuous reception mode corresponds to the wake-up user mode, RRC signaling is received from the base station; wherein, the RRC signaling includes fourth indication information, which is used to indicate the time slot interval for physical downlink control channel (PDCCH) detection; wherein, different discontinuous reception modes correspond to different time slot intervals.

[0291] According to the discontinuous reception mode, discontinuous reception is performed.

[0292] This disclosure provides a method for transmitting indication information, which is executed by a server. The method includes:

[0293] Send the deep learning model to the base station;

[0294] Receive historical data from the base station for user equipment over M consecutive DRX cycles;

[0295] The deep learning model is obtained by updating the first model using historical data from the user equipment over M consecutive DRX cycles.

[0296] The deep learning model is sent to the base station.

[0297] Wherein, the first model is a model trained based on sample data, or the first model is a model trained based on sample data and historical data of the user equipment within M consecutive DRX cycles within a set historical period.

[0298] In this embodiment of the disclosure, the server assists the base station in completing a part of the complex computing tasks, namely, periodically using user historical data to update the parameters of the deep learning model and feeding back the updated model results to the base station, thereby avoiding the energy consumption caused by the user equipment training the model locally, which is conducive to achieving the goal of terminal energy saving.

[0299] This disclosure provides a method for transmitting indication information, which is performed by OAM. This method includes:

[0300] Receive a request message from the base station, the request message being used to request the historical data of the user equipment within M consecutive DRX cycles;

[0301] A second indication message is sent to the base station, the second indication message being used to indicate that the data is ready and a first address; wherein, the first address is an address used to store the historical data of the user equipment within M consecutive DRX cycles.

[0302] This disclosure provides a method for transmitting indication information, which is performed by OAM. This method includes:

[0303] The request message is received from the base station once every M DRX cycles; the request message is used to request the historical data of the user equipment in the M consecutive DRX cycles.

[0304] A second indication message is sent to the base station every M DRX cycles. The second indication message is used to indicate that the data is ready and a first address. The first address is the address used to store the historical data of the user equipment in the M consecutive DRX cycles.

[0305] This disclosure provides a method for transmitting indication information, which is performed by OAM. This method includes:

[0306] The request message is received from the base station once every M DRX cycles; the request message is used to request the historical data of the user equipment in the M consecutive DRX cycles.

[0307] A second indication message is sent to the base station every M DRX cycles. The second indication message is used to indicate that the data is ready and a first address. The first address is the address used to store the historical data of the user equipment in the M consecutive DRX cycles.

[0308] Every DRX cycle, the user equipment receives historical data from the base station for the current DRX cycle.

[0309] Based on the same concept as the above method embodiments, this disclosure also provides a communication device that can have the functions of the network device 102 in the above method embodiments and can be used to execute the steps performed by the network device 102 provided in the above method embodiments. This function can be implemented by hardware, or by software, or by hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the above functions.

[0310] Based on the same concept as the above method embodiments, this disclosure also provides a communication device, which includes a processor and a memory; the memory is used to store a computer program; the processor is used to execute the computer program to implement the steps performed by the network device 102 provided in the above method embodiments.

[0311] This disclosure also provides a communication device and a computer-readable storage medium storing instructions that, when invoked and executed on a computer, cause the computer to perform the steps performed by the network device 102 provided in the above method embodiments.

[0312] In one possible implementation, such as Figure 8 The communication device shown can serve as a base station in the above method embodiments and execute the steps performed by the base station in the above method embodiments. For example... Figure 8As shown, the communication device includes a transceiver module 801 and a processing module 802, which are coupled to each other. The transceiver module 801 supports communication within the communication device 800 and may possess wireless communication capabilities, such as the ability to communicate wirelessly with other communication devices via a wireless air interface. The processing module 802 supports the communication device 800 in performing the processing actions described in the above method embodiments, including but not limited to: generating information or messages sent by the transceiver module 801, and / or demodulating and decoding signals received by the transceiver module 801, etc.

[0313] When performing the steps implemented by network device 102, processing module 802 is used to determine the discontinuous reception mode of the user equipment based on the service data traffic and channel state information of the user equipment in the current DRX period.

[0314] The transceiver module 801 is used to send first indication information to the user equipment, the first indication information being used to indicate the discontinuous reception mode.

[0315] In one embodiment, the processing module 801 is further configured to determine the discontinuous reception mode of the user equipment using the following method based on the service data traffic and channel state information of the user equipment in the current DRX period:

[0316] The user equipment's service data traffic and channel state information in the current DRX cycle are input into the deep learning model to determine N evaluation values ​​output by the deep learning model, and the discontinuous reception mode corresponding to the largest evaluation value among the N evaluation values ​​is determined.

[0317] In one embodiment, the processing module 602 is further configured to train the deep learning model based on the sample data;

[0318] or,

[0319] The transceiver module 801 is used to receive the deep learning model from the server, wherein the deep learning model is obtained by training based on sample data.

[0320] In one embodiment, the processing module 802 is further configured to acquire historical data of the user equipment in the most recent M consecutive discontinuous reception periods within the current discontinuous reception period; or, when the current discontinuous reception period corresponds to an update opportunity, acquire historical data of the user equipment in the most recent M consecutive discontinuous reception periods.

[0321] The deep learning model is obtained based on historical data from the user equipment over M consecutive discontinuous reception periods.

[0322] The update timing corresponds to performing a model update once every K discontinuous reception cycles; K and M are integers greater than 1, and K is greater than or equal to M;

[0323] The historical data includes historical parameters of the user equipment over M consecutive discontinuous reception periods. The historical parameters include service data traffic, channel state information, the selected discontinuous reception mode, and evaluation values ​​corresponding to N discontinuous reception modes.

[0324] In one embodiment, the processing module 802 is further configured to update the first model based on historical data from the user equipment over the M consecutive DRX cycles to obtain the deep learning model.

[0325] or,

[0326] The transceiver module 801 is further configured to send the historical data of the user equipment within the M consecutive DRX cycles to the server, and receive the deep learning model from the server. The deep learning model is obtained by updating the first model using the historical data of the user equipment within the M consecutive DRX cycles.

[0327] Wherein, the first model is a model trained based on sample data, or the first model is a model trained based on sample data and historical data of the user equipment within the M consecutive DRX cycles within a set historical period.

[0328] In one embodiment, the transceiver module 801 is further configured to send a request message to an operation and maintenance management entity, the request message being used to request the acquisition of historical data of the user equipment within the M consecutive DRX cycles; receive a second indication message from the operation and maintenance management entity, the second indication message being used to indicate that the data is ready and a first address; wherein, the first address is an address used to store the historical data of the user equipment within the M consecutive DRX cycles; and acquire the historical data of the user equipment within the M consecutive DRX cycles from the first address.

[0329] In one embodiment, the transceiver module 801 is further configured to send the request message to the operation and maintenance management entity once every M DRX cycles.

[0330] In one embodiment, the transceiver module 801 is further configured to send downlink control information to the user equipment via PDCCH, wherein the downlink control information includes the first indication information.

[0331] In one embodiment, the transceiver module 801 is further configured to send a reference signal to the user equipment via a PDSCH, wherein the reference signal includes the first indication information.

[0332] In one embodiment, the transceiver module 801 is further configured to send MAC-CE information to the user equipment via PDSCH, wherein the MAC-CE information includes the first indication information.

[0333] In one embodiment, the transceiver module 801 is further configured to send third indication information to the user equipment, wherein 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.

[0334] In one embodiment, the transceiver module 801 is further configured to send RRC signaling to the user equipment when the discontinuous reception mode corresponds to the wake-up user mode; wherein the RRC signaling includes fourth indication information, the fourth indication information being used to indicate the time slot interval for performing physical downlink control channel (PDCCH) detection;

[0335] Different discontinuous reception modes correspond to different time slot intervals.

[0336] In one embodiment, the RRC signaling includes fourth indication information, including:

[0337] The control slot period and offset fields in the search idle information element of the control resource set in the PDCCH configuration information of the RRC signaling are used to indicate the fourth indication information.

[0338] In one embodiment, the transceiver module 801 is further configured to construct historical data of the user equipment during the current DRX period after the current DRX period ends, and send the historical data of the user equipment during the current DRX period to the operation and maintenance management entity; wherein, the historical data during the current DRX period includes service data traffic, channel state information, the selected discontinuous reception mode, and the evaluation value corresponding to the discontinuous reception mode.

[0339] When the communication device is a base station, its structure can also be as follows: Figure 9 As shown. The structure of a communication device is illustrated using a base station as an example. (As shown...) Figure 9As shown, the device 900 includes a memory 901, a processor 902, a transceiver component 903, and a power supply component 906. The memory 901 is coupled to the processor 902 and can be used to store the programs and data necessary for the communication device 900 to implement its various functions. The processor 902 is configured to support the communication device 900 in performing the corresponding functions described above, which can be implemented by calling the programs stored in the memory 901. The transceiver component 903 can be a wireless transceiver, used to support the communication device 900 in receiving signaling and / or data, and transmitting signaling and / or data via a wireless air interface. The transceiver component 903 can also be referred to as a transceiver unit or communication unit. The transceiver component 903 may include a radio frequency component 904 and one or more antennas 905. The radio frequency component 904 can be a remote radio unit (RRU), specifically used for transmitting radio frequency signals and converting radio frequency signals to baseband signals. The one or more antennas 905 are specifically used for radiating and receiving radio frequency signals.

[0340] When the communication device 900 needs to send data, the processor 902 performs baseband processing on the data to be sent and outputs a baseband signal to the radio frequency (RF) unit. The RF unit then performs RF processing on the baseband signal and transmits the RF signal as electromagnetic waves through an antenna. When data is sent to the communication device 900, the RF unit receives the RF signal through the antenna, converts the RF signal into a baseband signal, and outputs the baseband signal to the processor 902. The processor 902 converts the baseband signal back into data and processes the data.

[0341] Based on the same concept as the above method embodiments, this disclosure also provides a communication device, which includes a processor and a memory; the memory is used to store a computer program; the processor is used to execute the computer program to implement the steps performed by the user equipment 101 provided in the above method embodiments.

[0342] This disclosure also provides a communication device and a computer-readable storage medium storing instructions that, when invoked and executed on a computer, cause the computer to perform the steps performed by the user equipment 101 provided in the above method embodiments.

[0343] In one possible implementation, such as Figure 10 The communication device shown can serve as the user equipment involved in the above method embodiments and execute the steps performed by the user equipment in the above method embodiments. For example... Figure 10As shown, the communication device includes a transceiver module 1001 and a processing module 1002, which are coupled to each other. The transceiver module 1001 supports communication within the communication device 1000 and may possess wireless communication capabilities, such as the ability to communicate wirelessly with other communication devices via a wireless air interface. The processing module 1002 supports the communication device 1000 in performing the processing actions described in the above method embodiments, including but not limited to: generating information or messages sent by the transceiver module 1001, and / or demodulating and decoding signals received by the transceiver module 1001, etc.

[0344] When performing the steps implemented by the user equipment 101, the transceiver module 1001 is configured to receive first indication information from the base station, the first indication information being used to indicate the discontinuous reception mode.

[0345] The processing module is used to perform the discontinuous reception according to the discontinuous reception mode.

[0346] In one embodiment, the transceiver module 1001 is further configured to receive downlink control information from the base station via PDCCH, wherein the downlink control information includes the first indication information.

[0347] In one embodiment, the transceiver module 1001 is further configured to receive a reference signal from the base station via a PDSCH, wherein the reference signal includes the first indication information.

[0348] In one embodiment, the transceiver module 1001 is further configured to receive MAC-CE information from the base station via PDSCH, wherein the MAC-CE information includes the first indication information.

[0349] In one embodiment, the transceiver module 1001 is further configured to receive third indication information from the base station, the third indication information being used to indicate that the discontinuous reception mode corresponds to a wake-up user mode or a non-wake-up user mode.

[0350] In one embodiment, the transceiver module 1001 is further configured to receive RRC signaling from the base station when the discontinuous reception mode corresponds to the wake-up user mode; wherein the RRC signaling includes fourth indication information, the fourth indication information being used to indicate the time slot interval for physical downlink control channel (PDCCH) detection;

[0351] Different discontinuous reception modes correspond to different time slot intervals.

[0352] When the communication device is a user equipment, its structure can also be as follows: Figure 11 As shown. (Refer to...) Figure 11The device 1100 may include one or more of the following components: a processing component 1102, a memory 1104, a power component 1106, a multimedia component 1108, an audio component 1110, an input / output (I / O) interface 1112, a sensor component 1114, and a communication component 1116.

[0353] Processing component 1102 typically controls the overall operation of device 1100, such as operations associated with display, telephone calls, data communication, camera operation, and recording operations. Processing component 1102 may include one or more processors 1120 to execute instructions to perform all or part of the steps of the methods described above. Furthermore, processing component 1102 may include one or more modules to facilitate interaction between processing component 1102 and other components. For example, processing component 1102 may include a multimedia module to facilitate interaction between multimedia component 1108 and processing component 1102.

[0354] Memory 1104 is configured to store various types of data to support the operation of device 1100. Examples of such data include instructions for any application or method operating on device 1100, contact data, phonebook data, messages, pictures, videos, etc. Memory 1104 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0355] The power component 1106 provides power to the various components of the device 1100. The power component 1106 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power to the device 1100.

[0356] Multimedia component 1108 includes a screen that provides an output interface between the device 1100 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touchscreen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors may sense not only the boundaries of the touch or swipe action but also the duration and pressure associated with the touch or swipe operation. In some embodiments, multimedia component 1108 includes a front-facing camera and / or a rear-facing camera. When the device 1100 is in an operating mode, such as a shooting mode or a video mode, the front-facing camera and / or the rear-facing camera may receive external multimedia data. Each front-facing camera and rear-facing camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

[0357] Audio component 1110 is configured to output and / or input audio signals. For example, audio component 1110 includes a microphone (MIC) configured to receive external audio signals when device 1100 is in an operating mode, such as call mode, recording mode, and voice recognition mode. The received audio signals may be further stored in memory 1104 or transmitted via communication component 1116. In some embodiments, audio component 1110 also includes a speaker for outputting audio signals.

[0358] I / O interface 1112 provides an interface between processing component 1102 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to, home buttons, volume buttons, power buttons, and lock buttons.

[0359] Sensor assembly 1114 includes one or more sensors for providing status assessments of various aspects of device 1100. For example, sensor assembly 1114 may detect the on / off state of device 1100, the relative positioning of components such as the display and keypad of device 1100, changes in the position of device 1100 or a component of device 1100, the presence or absence of user contact with device 1100, the orientation or acceleration / deceleration of device 1100, and temperature changes of device 1100. Sensor assembly 1114 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 1114 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, sensor assembly 1114 may also include an accelerometer, a gyroscope, a magnetometer, a pressure sensor, or a temperature sensor.

[0360] Communication component 1116 is configured to facilitate wired or wireless communication between device 1100 and other devices. Device 1100 can access wireless networks based on communication standards, such as WiFi, 2G, or 3G, or combinations thereof. In one exemplary embodiment, communication component 1116 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, communication component 1116 also includes a near-field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0361] In an exemplary embodiment, the apparatus 1100 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the methods described above.

[0362] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 1104 including instructions, which can be executed by a processor 1120 of the device 1100 to perform the above-described method. For example, the non-transitory computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

Claims

1. A method for transmitting indication information, executed by a base station, comprising: Input the service data traffic and channel state information of the user equipment in the current discontinuous reception period into the deep learning model, determine the N evaluation values ​​output by the deep learning model, and determine the discontinuous reception mode corresponding to the largest evaluation value among the N evaluation values. The system sends a first indication message to the user equipment, the first indication message being used to indicate the discontinuous reception mode; it then sends a third indication message to the user equipment, the third indication message being used to indicate whether the discontinuous reception mode corresponds to a wake-up user mode or a non-wake-up user mode; when the discontinuous reception mode corresponds to a wake-up user mode, it sends an RRC signaling message to the user equipment; wherein the RRC signaling message includes a fourth indication message, the fourth indication message being used to indicate the time slot interval for physical downlink control channel (PDCCH) detection; wherein different discontinuous reception modes correspond to different time slot intervals. In each DRX cycle following the current discontinuous reception cycle, the discontinuous reception mode is determined by the user equipment using the same deep learning model, and the deep learning model is updated every K DRX cycles. In each DRX cycle between two updates, the most recently updated deep learning model is used to determine the discontinuous reception mode.

2. The method as described in claim 1, wherein, The method further includes: The deep learning model is obtained by training based on the sample data; Alternatively, the deep learning model can be received from a server, wherein the deep learning model is obtained by training based on sample data.

3. The method as described in claim 1, wherein, The method further includes: Within the current discontinuous reception period, acquire the historical data of the user equipment within the most recent M consecutive discontinuous reception periods; or, when the current discontinuous reception period corresponds to an update opportunity, acquire the historical data of the user equipment within the most recent M consecutive discontinuous reception periods. The deep learning model is obtained based on the historical data of the user equipment during the M consecutive discontinuous reception periods. The update timing corresponds to performing a model update once every K discontinuous reception cycles; K and M are integers greater than 1, and K is greater than or equal to M; The historical data includes historical parameters of the user equipment over M consecutive discontinuous reception periods. The historical parameters include service data traffic, channel state information, the selected discontinuous reception mode, and evaluation values ​​corresponding to N discontinuous reception modes.

4. The method of claim 3, wherein, The step of obtaining the deep learning model based on historical data from the user equipment over the M consecutive discontinuous reception periods includes: The deep learning model is obtained by updating the first model based on the historical data of the user equipment during the M consecutive discontinuous reception periods; or, The system sends historical data of the user equipment within the M consecutive discontinuous reception periods to the server, and receives the deep learning model from the server. The deep learning model is obtained by updating a first model using the historical data of the user equipment within the M consecutive discontinuous reception periods. Wherein, the first model is a model trained based on sample data, or the first model is a model trained based on sample data and historical data of the user equipment within the M consecutive discontinuous reception cycles within a set historical period.

5. The method of claim 3, wherein, The acquisition of historical data of the user equipment within the M consecutive discontinuous reception periods includes: Send a request message to the operation and maintenance management entity, the request message being used to request the acquisition of historical data of the user equipment within the M consecutive discontinuous reception periods; The operation and maintenance management entity receives a second instruction message, which indicates that the data is ready and a first address; wherein the first address is an address used to store the historical data of the user equipment in the M consecutive discontinuous reception periods. The user equipment obtains historical data from the first address during the M consecutive discontinuous reception periods.

6. The method of claim 5, wherein, Sending a request message to the operation and maintenance management entity includes: The request message is sent to the operation and maintenance management entity once every M discontinuous reception cycles.

7. The method of claim 1, wherein, Sending the first indication information to the user equipment includes: Downlink control information will be sent to the user equipment via PDCCH, wherein the downlink control information includes the first indication information.

8. The method of claim 1, wherein, Sending the first indication information to the user equipment includes: A reference signal is sent to the user equipment via PDSCH, wherein the reference signal includes the first indication information.

9. The method of claim 1, wherein, Sending the first indication information to the user equipment includes: MAC-CE information is sent to the user equipment via PDSCH, wherein the MAC-CE information includes the first indication information.

10. The method of claim 1, wherein, The RRC signaling includes a fourth indication message, including: The control slot period and offset fields in the search idle information element of the control resource set in the PDCCH configuration information of the RRC signaling are used to indicate the fourth indication information.

11. The method of claim 1, wherein, The method further includes: After the current discontinuous reception period ends, the historical data of the user equipment during the current discontinuous reception period is constructed and sent to the operation and maintenance management entity. The historical data during the current discontinuous reception period includes service data traffic, channel state information, the selected discontinuous reception mode, and the evaluation value corresponding to the discontinuous reception mode.

12. A method for transmitting indication information, performed by a user equipment, comprising: The system receives first indication information from the base station. The first indication information is used to indicate a discontinuous reception mode. The discontinuous reception mode is the discontinuous reception mode corresponding to the largest evaluation value among N evaluation values. The N evaluation values ​​are determined based on inputting the service data traffic and channel state information of the user equipment in the current discontinuous reception period into a deep learning model. Receive third indication information from the base station, wherein 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; Perform discontinuous reception according to the discontinuous reception mode; When the discontinuous reception mode corresponds to the wake-up user mode, RRC signaling is received from the base station; wherein, the RRC signaling includes fourth indication information, which is used to indicate the time slot interval for physical downlink control channel (PDCCH) detection; wherein, different discontinuous reception modes correspond to different time slot intervals; In each DRX cycle following the current discontinuous reception cycle, the same deep learning model is used to determine the discontinuous reception mode, and the deep learning model is updated every K DRX cycles. In each DRX cycle between two updates, the most recently updated deep learning model is used to determine the discontinuous reception mode.

13. The method of claim 12, wherein, Receiving the first indication information from the base station includes: Downlink control information is received from the base station via PDCCH, wherein the downlink control information includes the first indication information.

14. The method of claim 12, wherein, Receiving the first indication information from the base station includes: A reference signal is received from the base station via PDSCH, wherein the reference signal includes the first indication information.

15. The method of claim 12, wherein, Receiving the first indication information from the base station includes: MAC-CE information is received from the base station via PDSCH, wherein the MAC-CE information includes the first indication information.

16. A communication device applied to a base station, comprising: The processing module is used to determine the discontinuous reception mode of the user equipment based on the service data traffic and channel state information of the user equipment in the current discontinuous reception period; The processing module is further configured to determine the discontinuous reception mode of the user equipment using the following method based on the service data traffic and channel state information of the user equipment during the current discontinuous reception period: The service data traffic and channel state information of the user equipment in the current discontinuous reception period are input into the deep learning model to determine the N evaluation values ​​output by the deep learning model, and the discontinuous reception mode corresponding to the largest evaluation value among the N evaluation values ​​is determined. The transceiver module is used to send first indication information to the user equipment, wherein the first indication information is used to indicate the discontinuous reception mode; The transceiver module is further configured to send third indication information to the user equipment, wherein the third indication information is configured to indicate that the discontinuous reception mode corresponds to the wake-up user mode or the non-wake-up user mode. The transceiver module is further configured to send RRC signaling to the user equipment when the discontinuous reception mode corresponds to the wake-up user mode; wherein the RRC signaling includes fourth indication information, the fourth indication information being used to indicate the time slot interval for physical downlink control channel (PDCCH) detection; wherein different discontinuous reception modes correspond to different time slot intervals; The processing module is further configured to determine the discontinuous reception mode using the same deep learning model in each DRX cycle after the current discontinuous reception cycle, and to update the deep learning model once every K DRX cycles, and to determine the discontinuous reception mode using the most recently updated deep learning model in each DRX cycle between two updates.

17. The apparatus of claim 16, wherein, The processing module is also used to train the deep learning model based on the sample data; or, The transceiver module is used to receive the deep learning model from the server, wherein the deep learning model is obtained by training based on sample data.

18. The apparatus of claim 16, wherein, The processing module is further configured to acquire historical data of the user equipment in the most recent M consecutive discontinuous reception periods within the current discontinuous reception period; or, when the current discontinuous reception period corresponds to an update opportunity, acquire historical data of the user equipment in the most recent M consecutive discontinuous reception periods. The deep learning model is obtained based on the historical data of the user equipment during the M consecutive discontinuous reception periods. The update timing corresponds to performing a model update once every K discontinuous reception cycles; K and M are integers greater than 1, and K is greater than or equal to M; The historical data includes historical parameters of the user equipment over M consecutive discontinuous reception periods. The historical parameters include service data traffic, channel state information, the selected discontinuous reception mode, and evaluation values ​​corresponding to N discontinuous reception modes.

19. The apparatus of claim 18, wherein, The processing module is further configured to update the first model based on historical data from the user equipment over the M consecutive discontinuous reception periods to obtain the deep learning model. or, The transceiver module is also used to send the historical data of the user equipment within the M consecutive discontinuous reception periods to the server, and to receive the deep learning model from the server. The deep learning model is obtained by updating the first model using the historical data of the user equipment within the M consecutive discontinuous reception periods. Wherein, the first model is a model trained based on sample data, or the first model is a model trained based on sample data and historical data of the user equipment within the M consecutive discontinuous reception cycles within a set historical period.

20. The apparatus of claim 18, wherein, The transceiver module is further configured to send a request message to the operation and maintenance management entity, the request message being used to request the acquisition of historical data of the user equipment within the M consecutive discontinuous reception periods; receive a second indication message from the operation and maintenance management entity, the second indication message being used to indicate that the data is ready and a first address; wherein, the first address is an address used to store the historical data of the user equipment within the M consecutive discontinuous reception periods; and acquire the historical data of the user equipment within the M consecutive discontinuous reception periods from the first address.

21. The apparatus of claim 20, wherein, The transceiver module is also used to send the request message to the operation and maintenance management entity once every M discontinuous reception cycles.

22. The apparatus of claim 16, wherein, The transceiver module is further configured to send downlink control information to the user equipment via PDCCH, wherein the downlink control information includes the first indication information.

23. The apparatus of claim 16, wherein, The transceiver module is further configured to send a reference signal to the user equipment via PDSCH, wherein the reference signal includes the first indication information.

24. The apparatus of claim 16, wherein, The transceiver module is further configured to send MAC-CE information to the user equipment via PDSCH, wherein the MAC-CE information includes the first indication information.

25. The apparatus of claim 16, wherein, The RRC signaling includes a fourth indication message, including: The control slot period and offset fields in the search idle information element of the control resource set in the PDCCH configuration information of the RRC signaling are used to indicate the fourth indication information.

26. The apparatus of claim 16, wherein, The transceiver module is further configured to construct historical data of the user equipment during the current discontinuous reception period after the current discontinuous reception period ends, and send the historical data of the user equipment during the current discontinuous reception period to the operation and maintenance management entity; wherein, the historical data during the current discontinuous reception period includes service data traffic, channel state information, the selected discontinuous reception mode, and the evaluation value corresponding to the discontinuous reception mode.

27. A communication device applied to a user equipment, comprising: The transceiver module is used to receive first indication information from the base station. The first indication information is used to indicate a discontinuous reception mode. The discontinuous reception mode is the discontinuous reception mode corresponding to the largest evaluation value among N evaluation values. The N evaluation values ​​are determined based on inputting the service data traffic and channel state information of the user equipment in the current discontinuous reception period into a deep learning model. The transceiver module is further configured to receive third indication information from the base station, the third indication information being used to indicate that the discontinuous reception mode corresponds to a wake-up user mode or a non-wake-up user mode; The processing module is configured to perform the discontinuous reception according to the discontinuous reception mode; The transceiver module is further configured to receive RRC signaling from the base station when the discontinuous reception mode corresponds to the wake-up user mode; wherein the RRC signaling includes fourth indication information, the fourth indication information being used to indicate the time slot interval for physical downlink control channel (PDCCH) detection; wherein different discontinuous reception modes correspond to different time slot intervals. In each DRX cycle following the current discontinuous reception cycle, the same deep learning model is used to determine the discontinuous reception mode, and the deep learning model is updated every K DRX cycles. In each DRX cycle between two updates, the most recently updated deep learning model is used to determine the discontinuous reception mode.

28. The communication device as claimed in claim 27, wherein, The transceiver module is further configured to receive downlink control information from the base station via PDCCH, wherein the downlink control information includes the first indication information.

29. The communication apparatus of claim 27, wherein, The transceiver module is further configured to receive a reference signal from the base station via a PDSCH, wherein the reference signal includes the first indication information.

30. The communication device as claimed in claim 27, wherein, The transceiver module is further configured to receive MAC-CE information from the base station via PDSCH, wherein the MAC-CE information includes the first indication information.

31. A communication device, comprising a processor and a memory; The memory is used to store computer programs; The processor is used to execute the computer program to implement the method as described in any one of claims 1-11.

32. A communication device, comprising a processor and a memory; The memory is used to store computer programs; The processor is used to execute the computer program to implement the method as described in any one of claims 12-15.

33. A computer-readable storage medium storing instructions that, when invoked and executed on a computer, cause the computer to perform the method as described in any one of claims 1-11.

34. A computer-readable storage medium storing instructions that, when invoked and executed on a computer, cause the computer to perform the method as described in any one of claims 12-15.

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