CN109714794B - Business model selection method and device and storage medium - Google Patents
Business model selection method and device and storage medium Download PDFInfo
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- CN109714794B CN109714794B CN201711012620.7A CN201711012620A CN109714794B CN 109714794 B CN109714794 B CN 109714794B CN 201711012620 A CN201711012620 A CN 201711012620A CN 109714794 B CN109714794 B CN 109714794B
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Abstract
The invention discloses a method, a device and a storage medium for selecting a service model, wherein the method comprises the following steps: acquiring air interface channel parameters corresponding to terminal equipment; determining a service model for the terminal equipment through a first type protocol layer based on the air interface channel parameters of the terminal equipment; the first type protocol layer is a protocol layer which at least can carry out mapping capability between a logic channel and a transmission channel; wherein the determining a service model for the terminal device includes: determining an uplink traffic model for the terminal device, and/or determining a downlink traffic model for the terminal device.
Description
Technical Field
The present invention relates to a service transmission management technology in the field of communications, and in particular, to a service model selection method, apparatus, and storage medium.
Background
Currently, speech coding is divided into high definition speech coding and standard definition speech coding. Wherein, the code rate of standard definition speech coding (AMR-NB) is: AMR 4.75kbps, 5.15kbps, 5.9kbps, 6.7kbps, 7.4kbps, 7.95kbps, 10.2kbps, 12.2 kbps. High definition speech coding (AMR-WB) comprises code rates of: AMR is 6.6kbps, 8.85kbps, 12.65kbps, 14.25kbps, 15.85kbps, 18.25kbps, 19.85kbps, 23.05kbps,23.85 kbps.
From the above-mentioned speech coding rate supported by 4G, the speech service can have various quality choices. In an actual network, a proper code rate can be dynamically selected according to the quality of an air interface of a user to ensure voice communication, for example, when the quality of a user channel is good, high-definition voice is selected; when the user channel quality is poor, standard definition voice is selected to ensure the basic call requirement.
However, in the 5G network, various services including voice need to be dynamically selected according to the quality of an air interface, so as to ensure the basic service quality requirement when the channel quality of the air interface is poor.
Disclosure of Invention
The present invention is directed to a method, an apparatus, and a storage medium for selecting a service model, which are used to solve the above problems in the prior art.
In order to achieve the above object, the present invention provides a service model selection method, including:
acquiring air interface channel parameters corresponding to terminal equipment;
determining a service model for the terminal equipment through a first type protocol layer based on the air interface channel parameters of the terminal equipment; the first type protocol layer is a protocol layer which at least can carry out mapping capability between a transmission channel and a physical channel, or a protocol layer which can control, distribute or manage air interface physical layer resources according to the characteristics of a received and transmitted data packet;
wherein the determining a service model for the terminal device includes:
determining an uplink traffic model for the terminal device and/or determining a downlink traffic model for the terminal device
The invention provides a business model selecting device, which comprises:
a parameter obtaining module, configured to obtain an air interface channel parameter corresponding to the terminal device;
the wireless big data operation functional module is used for determining a service model for the terminal equipment through a first-class protocol layer based on the air interface channel parameters of the terminal equipment; the first type protocol layer is a protocol layer which at least can carry out mapping capability between a logic channel and a transmission channel;
the wireless big data operation function module is used for determining an uplink service model for the terminal equipment and/or determining a downlink service model for the terminal equipment.
The invention provides a business model selecting device, which comprises:
the communication interface is used for acquiring air interface channel parameters corresponding to the terminal equipment;
a processor, configured to determine, based on an air interface channel parameter of the terminal device, a service model for the terminal device through a first type protocol layer; the first type protocol layer is a protocol layer which at least can carry out mapping capability between a transmission channel and a physical channel, or a protocol layer which can control, distribute or manage air interface physical layer resources according to the characteristics of a received and transmitted data packet;
the processor is configured to determine an uplink service model for the terminal device, and/or determine a downlink service model for the terminal device.
The invention provides a business model selecting device, comprising: a processor and a memory for storing a computer program capable of running on the processor,
wherein the processor is adapted to perform the steps of the method when running the computer program.
The present invention provides a storage medium having a computer program stored thereon, wherein the computer program realizes the steps of the aforementioned method when executed by a processor.
The universal service model selecting method, the universal service model selecting device and the storage medium provided by the invention are combined with the air interface channel parameters of the terminal equipment to select the uplink and/or downlink service models for the terminal equipment, so that dynamic processing is carried out according to the current air interface quality of the terminal equipment in real time to obtain the service model which best meets the current situation, and the problem that the terminal equipment cannot provide service meeting the current air interface quality is solved.
Drawings
Fig. 1 is a schematic flow chart 1 of a service model selection method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart 2 of a service model selection method according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of an embodiment of the present invention;
FIG. 4 is a schematic flow chart of a service model selection method according to an embodiment of the present invention, which is shown in FIG. 3;
FIG. 5 is a schematic diagram of a structure of a service model selecting apparatus according to an embodiment of the present invention 1;
fig. 6 is a schematic diagram of a composition structure of a service model selecting apparatus according to an embodiment of the present invention 2.
Detailed Description
The invention is described in further detail below with reference to the figures and specific examples.
The first embodiment,
An embodiment of the present invention provides a method for selecting a service model, as shown in fig. 1, including:
step 101: acquiring air interface channel parameters corresponding to terminal equipment;
step 102: determining a service model for the terminal equipment through a first type protocol layer based on the air interface channel parameters of the terminal equipment; the first type protocol layer is a protocol layer which at least can carry out mapping capability between a transmission channel and a physical channel, or a protocol layer which can control, distribute or manage air interface physical layer resources according to the characteristics of a received and transmitted data packet;
wherein the determining a service model for the terminal device includes:
determining an uplink traffic model for the terminal device, and/or determining a downlink traffic model for the terminal device.
Aiming at the increase of service types in 5G, such as the Internet of things, the Internet of vehicles, industrial application and traditional mobile communication services, a proper data source service model can be accurately and timely selected according to the channel quality of a user at an air interface, and the mobile communication experience of the user can be effectively improved.
The method provided in this embodiment may be applied to a device on a network side, for example, the first type protocol layer may be a MAC layer, which is not limited herein as long as the network device is capable of performing calculation and transceiving functions. In particular, it may operate on a wireless network device, such as a base station (eNB of 4G, gNB of 5G), or an auxiliary device dedicated to external access by the base station.
In addition, the acquiring, in step 101, the air interface channel parameter corresponding to the terminal device includes:
acquiring the air interface channel parameters reported by the terminal equipment, and/or measuring the air interface channel parameters aiming at the terminal equipment.
The obtained air interface channel parameters can be directly obtained on the wireless network equipment and directly input into the wireless big data operation functional module for storage and calculation. And generating parameters of a data source service model after calculation by the wireless big data operation functional module. The air interface channel parameters do not need to be sent to the upper layer of the protocol stack above the wireless network. Further, after step 102 is completed, the calculated data source service source model parameters need to be sent to the service source server, and the service source server is instructed to generate service source model parameters such as a data packet size and a transmission time interval that meet the requirements. The conditions of the packet size and the transmission time interval may be related to a service, for example, may be set according to a specific service.
Based on the foregoing description, the following description will be specifically made with reference to fig. 2:
the acquiring of the air interface channel parameters of the terminal device includes: acquiring channel measurement parameters of terminal equipment, and determining the channel quality of the terminal equipment based on the channel measurement parameters of the terminal equipment;
correspondingly, determining a service model for the terminal device based on the air interface channel parameter of the terminal device includes: acquiring a QOS requirement of a service of terminal equipment;
and determining an uplink service model and/or a downlink service model for the terminal equipment based on the channel quality of the terminal equipment and the QOS requirement of the service.
That is to say, in the process of determining the uplink and/or downlink service model, the selection may be performed in combination with the QOS requirements of the specific service of the terminal device, for example, the selection of the service model for the terminal device is performed according to the transmission rate that the terminal itself can support, so that the service model more suitable for the terminal device can be obtained.
For the downlink: the method further comprises the following steps: and sending the downlink service model aiming at the terminal equipment to a service source server so that the service source server sends downlink service data based on the downlink service model after receiving the indication. Specifically, the method comprises the following steps:
after calculating the parameters of the downlink data source service model, notifying a service source server through a signaling defined by a base station; after receiving the indication, the downlink service source server sends downlink data according to the indication; it should be noted that the indication received by the downlink service source server may include parameters of the service model; that is, the downlink traffic source server extracts the parameters of the traffic model from the indication, and then transmits the downlink data based on the parameters of the traffic model in the indication. The parameters of the service model may include time interval, packet size, and other parameters, which are not exhaustive here.
For the uplink: the method further comprises the following steps: and sending the uplink service model aiming at the terminal equipment to the terminal equipment side through an air interface.
Specifically, after calculating parameters of the uplink data source service model, notifying the terminal side through control signaling of an air interface (such as RRC signaling, PDCCH control indication, MAC CE control indication, or other control modes defined by the air interface); correspondingly, after receiving the air interface instruction, the terminal side sends the instruction to an uplink service source server or a data source; and after receiving the indication, the uplink service source server or the data source sends uplink data according to the indication.
Referring to fig. 2, the scheme mainly includes that the MAC of the MAC control terminal Side (UE Side) of the Network Side (Network Side) implements service model selection. Specifically, the method comprises the following steps:
the MAC of the network side predicts the quality of the user channel according to the monitored user channel information; the MAC of the network side can also select a reasonable service model according to the QoS requirement of the service of the user. The Qos requirement may be a requirement of a data packet size of a service, a requirement of a transmission rate, and the like; that is, the QoS requirement can be combined with the channel quality of the user terminal by this processing, and an appropriate service model can be selected by taking the index requirement corresponding to the aggregate of the QoS requirement and the channel quality. The index requirements corresponding to the two sets may include the size of the data packet, the time interval, the transmission rate, and the like, which are not exhaustive here.
For an uplink service source sent by a terminal, a network side MAC sends a control signaling to a terminal side MAC, the terminal sends a service source model change request to the uplink service source, and in the subsequent uplink service process, the terminal uploads data according to a new service source model; for a downlink service source sent by a network side, the MAC of the network side directly sends a new service source model change request to the downlink service source, and the MAC of the network side starts a new service source model to send data in subsequent scheduling.
The network side MAC carries out user channel quality monitoring and service source model selection: logically it can be divided into two parts:
a) the scheduler of the MAC (Scheduling of MAC in fig. 3) monitors the Channel quality of the user in real time (measurement of Channel Status in fig. 3). The MAC scheduler monitors the user channel quality for the user on each access carrier.
b) User Channel quality monitoring (Control function in fig. 3) and Channel state calculation (Channel state calculation) and Service Source Model Prediction (Service Source Model Prediction) among multiple MAC schedulers. The user channel quality information monitored by a plurality of MAC schedulers is converged and reported to a channel quality calculation and service source model prediction function module among the schedulers, the function module adopts the calculation capability and algorithm provided by a big data calculation platform, the service source model is predicted by calculating the user channel quality, the result is reported to a downlink service source or is sent to the MAC of a terminal through the MAC schedulers, and the MAC of the terminal is sent to an uplink service source.
User channel quality calculation function: by measuring the reported initial bler (initial bler), the residual bler (residual bler), the code rate, the average TB (transport block) block size, the maximum TB block size, the average rate (unit bps) of data received by the data cache, the average rate (unit bps) of data sent by the data cache, the number of times of idle storage in the data cache, the number of times of data loss and overflow of the data cache, the corresponding data amount, the number of times of data packet segmentation, the number of times of data packet concatenation, etc., the above parameters include the measured data of each TTI and the measured data counted in a certain period.
The result of the user channel quality calculation needs to have certain robustness, user rate fluctuation caused by jitter of an air interface channel can be shielded, the change of the air interface channel every time can not be reflected to the selection of a service source model in real time, and the stability and invariance within a certain time period are required.
When the service source model cannot be converged quickly through the measurement information, the user channel quality calculation function module should keep the service source model unchanged to ensure quick convergence of algorithm calculation. And starting a Segmentation Function (Segmentation Function) or a Concatenation Function (Concatenation Function) of the data to realize the matching of the size of the service data and the size of the air interface TB.
Through the parameters and the corresponding period, the Channel Status computing and Service Source Model Prediction function module of the MAC completes the definition of a Service Source Model suitable for the air interface of the user:
A) the service source model suitable for the user includes the size of a service sampling data packet provided by a service source, a time interval for generating the data packet, an average data packet size which can be borne by an air interface, and the like.
B) The life cycle of the new traffic source model, including the starting point in time and possibly the duration.
2. Selecting an uplink and downlink service source model: fig. 4 shows a service source model selection process under MAC control. For convenience of description, the MAC functions in fig. 4 are respectively identified as fast Control MAC fc-MAC (fast Control MAC) and real-Time MAC rt-MAC (real Time MAC) corresponding to the upper and lower MAC functions.
1. Service and radio bearer establishment/reconfiguration: in the RRC signaling of the user radio bearer establishment or reconfiguration process, parameters related to establishment or configuration are set up in layer 2(SDAP/PDCP/RLC/MAC) and layer 1 (physical layer) on the network side and the terminal side, wherein the lengths of IP packets at various service source coding rates to be selected are given in a source packet size Format set (TFS: Transport Format set, such as the byte length of IP packets corresponding to various speech coding formats introduced in the prior art) that must be included for the service. The TFS may be configured to the MAC layer through RRC signaling, and may also be configured to other functional entities of layer 2 and layer 1.
2. And the RT-MAC measures the channel quality of the user at an air interface and the transceiving quality of the data packet and reports the channel quality and the transceiving quality to the FC-MAC.
3. After receiving the measurement, the FC-MAC starts a big data operation function module, performs accurate approximation quantization on the channel quality of the user at the air interface and the data packet transceiving quality, and ensures timeliness of the calculation result, such as timeliness of 1ms, 10ms, and the like, depending on the fast operation capability of big data operation. And inputting the operation result into a judgment function module to generate a judgment result and generate a corresponding idle signaling.
If the data is downlink data transceiving:
4. and the FC-MAC sends a service source mode change instruction to the downlink service source.
5. The service source generates service data packets according to the new mode and sends the service data packets to the RT-MAC through the layer 2 and the layer 3.
6. And the RT-MAC directly sends the datagram through an air interface service channel.
7. After receiving the data packet, the MAC at the terminal side processes the data packet jointly with other packet processing layers (SDAP/PDCP/RLC), and the finally obtained IP packet considers that the data has correct data as long as the IP packet is one packet size in TFS configured by RRC signaling; otherwise, the data packet is discarded. And sends the correct packet to the upper layer.
For uplink data transceiving:
8. and the FC-MAC sends a service source model change instruction to the RT-MAC.
9. The RT-MAC selects to use PDCCH or MAC CE to transmit the indication to the terminal side according to the current scheduling situation. Wherein the formats of PDCCH and MAC CE are newly defined formats. Such as: a DCI format of a dedicated PDCCH is defined, and a number of bits are provided to identify a TFI (TF indicator, each TF is indexed at a subscript of a TFs) for each packet size. A special MAC CE type is defined, which is specially used for transmitting the TFI, and a specific MAC CE format may be extended along with the existing MAC CE format.
10. And the MAC of the user side receives the corresponding PDCCH or MAC CE, analyzes the new model indication and sends the new model indication to an uplink service source.
11. An uplink data source sends a data packet according to a new data format, after a layer 2(SDAP/PDCP/RLC/MAC) at a terminal side receives the data packet, the finally obtained IP packet considers that the data has correct data as long as the IP packet has one packet size in TFS configured by RRC signaling, and the correct data packet is sent to an air interface.
Therefore, by adopting the scheme, the uplink and/or downlink service model can be selected for the terminal equipment by combining the air interface channel parameters of the terminal equipment, so that dynamic processing can be performed according to the current air interface quality of the terminal equipment in real time to obtain the service model which best meets the current condition, and the problem that the terminal equipment cannot provide service meeting the current air interface quality is solved.
Example II,
The present embodiment provides a service model selecting apparatus, as shown in fig. 5, including:
a parameter obtaining module 51, configured to obtain an air interface channel parameter of the terminal device;
a wireless big data operation function module 52, configured to determine, based on the air interface channel parameter of the terminal device, a service model for the terminal device through a first type protocol layer; the first type protocol layer is a protocol layer which at least can carry out mapping capability between a transmission channel and a physical channel, or a protocol layer which can control, distribute or manage air interface physical layer resources according to the characteristics of a received and transmitted data packet;
the wireless big data operation function module 52 is configured to determine an uplink service model for the terminal device, and/or determine a downlink service model for the terminal device.
Aiming at the increase of service types in 5G, such as the Internet of things, the Internet of vehicles, industrial application and traditional mobile communication services, a proper data source service model can be accurately and timely selected according to the channel quality of a user at an air interface, and the mobile communication experience of the user can be effectively improved.
The method provided in this embodiment may be applied to a device on the network side, for example, may be applied to MAC, or may be applied to RAN, which is not limited herein, as long as the network device is capable of performing calculation and transceiving functions. In particular, it may operate on a wireless network device, such as a base station (eNB of 4G, gNB of 5G), or an auxiliary device dedicated to external access by the base station.
The wireless big data operation function module runs on wireless network equipment, such as a base station (eNB of 4G, gNB of 5G), or auxiliary equipment exclusively accessed from outside of the base station.
Various air interface channel parameters required by the wireless big data operation functional module are directly obtained on the wireless network equipment and are directly input into the wireless big data operation functional module for storage and calculation. And generating parameters of a data source service model after calculation by the wireless big data operation functional module. The air interface channel parameters do not need to be sent to the upper layer of the protocol stack above the wireless network.
And the wireless big data operation functional module sends the calculated data source service source model parameters to the service source server, and instructs the service source server to generate service source model parameters such as the size of a data packet and the transmission time interval which meet the requirements.
Based on the foregoing description, the following description will be specifically made with reference to fig. 2:
the parameter acquisition module is used for acquiring the channel measurement parameters of the terminal equipment and determining the channel quality of the terminal equipment based on the channel measurement parameters of the terminal equipment;
correspondingly, the wireless big data operation function module is used for acquiring the QOS requirement of the service of the terminal equipment; and determining an uplink service model and/or a downlink service model for the terminal equipment based on the channel quality of the terminal equipment and the QOS requirement of the service.
That is to say, in the process of determining the uplink and/or downlink service model, the selection may be performed in combination with the QOS requirements of the specific service of the terminal device, for example, the selection of the service model for the terminal device is performed according to the transmission rate that the terminal itself can support, so that the service model more suitable for the terminal device can be obtained.
For the downlink: the parameter obtaining module 51 is configured to send a downlink service model for the terminal device to a service source server, so that the service source server sends downlink service data based on the downlink service model after receiving the instruction. Specifically, the method comprises the following steps:
after calculating the parameters of the downlink data source service model, notifying a service source server through a signaling defined by a base station; and after receiving the indication, the downlink service source server sends downlink data according to the indication.
For the uplink: the parameter obtaining module 51 is configured to send the uplink service model for the terminal device to the terminal device side through an air interface.
Specifically, after calculating parameters of the uplink data source service model, notifying the terminal side through control signaling of an air interface (such as RRC signaling, PDCCH control indication, MAC CE control indication, or other control modes defined by the air interface); correspondingly, after receiving the air interface instruction, the terminal side sends the instruction to an uplink service source server or a data source; and after receiving the indication, the uplink service source server or the data source sends uplink data according to the indication.
Referring to fig. 2, there is a service model selection implemented by the MAC of the MAC control terminal Side (UE Side) of the Network Side (Network Side). Specifically, the method comprises the following steps:
the MAC of the network side predicts the quality of the user channel according to the monitored user channel information; the MAC of the network side can also select a reasonable service model according to the QoS requirement of the service of the user.
For an uplink Service Source (UL Service Source in fig. 2) sent by the terminal, the network side MAC sends a control signaling to the MAC of the terminal side, the terminal sends a Service Source model change request to the uplink Service Source, and in the subsequent uplink Service process, the terminal uploads data according to a new Service Source model; for a downlink Service Source (DL Service Source in fig. 2) sent by the network side, the MAC of the network side directly sends a new Service Source model change request to the downlink Service Source, and the MAC of the network side enables the new Service Source model to perform data transmission in subsequent scheduling.
As shown in fig. 3, the network MAC performs user channel quality monitoring and service source model selection: logically it can be divided into two parts:
a) the scheduler of the MAC monitors the channel quality of the users in real time. The MAC scheduler monitors the user channel quality for the user on each access carrier.
b) User channel quality monitoring among multiple MAC schedulers. The user channel quality information monitored by a plurality of MAC schedulers is converged and reported to a channel quality calculation and service source model prediction function module among the schedulers, the function module adopts the calculation capability and algorithm provided by a big data calculation platform, the service source model is predicted by calculating the user channel quality, the result is reported to a downlink service source or is sent to the MAC of a terminal through the MAC schedulers, and the MAC of the terminal is sent to an uplink service source.
User channel quality calculation function: by measuring the reported initial bler (initial bler), the residual bler (residual bler), the code rate, the average TB (transport block) block size, the maximum TB block size, the average rate (unit bps) of data received by the data cache, the average rate (unit bps) of data sent by the data cache, the number of times of idle storage in the data cache, the number of times of data loss and overflow of the data cache, the corresponding data amount, the number of times of data packet segmentation, the number of times of data packet concatenation, etc., the above parameters include the measured data of each TTI and the measured data counted in a certain period.
The result of the user channel quality calculation needs to have certain robustness, user rate fluctuation caused by jitter of an air interface channel can be shielded, the change of the air interface channel every time can not be reflected to the selection of a service source model in real time, and the stability and invariance within a certain time period are required.
When the service source model cannot be converged quickly through the measurement information, the user channel quality calculation function module should keep the service source model unchanged to ensure quick convergence of algorithm calculation. And starting a Segmentation Function (Segmentation Function) or a Concatenation Function (Concatenation Function) of the data to realize the matching of the size of the service data and the size of the air interface TB.
Through the parameters and the corresponding period, the Channel Status computing and Service Source Model Prediction function module of the MAC completes the definition of a Service Source Model suitable for the air interface of the user:
A) the service source model suitable for the user includes the size of a service sampling data packet provided by a service source, a time interval for generating the data packet, an average data packet size which can be borne by an air interface, and the like.
B) The life cycle of the new traffic source model, including the starting point in time and possibly the duration.
2. Selecting an uplink and downlink service source model: fig. 4 shows a service source model selection process under MAC control. For convenience of description, the MAC functions in FIG. 4 are respectively labeled as FC-MAC (fast Control MAC) and RT-MAC (real Time MAC) corresponding to the upper and lower MAC functions.
1. Service and radio bearer establishment/reconfiguration: in the RRC signaling of the user radio bearer establishment or reconfiguration process, parameters related to establishment or configuration are set up in layer 2(SDAP/PDCP/RLC/MAC) and layer 1 (physical layer) on the network side and the terminal side, wherein the lengths of IP packets at various service source coding rates to be selected are given in a source packet size Format set (TFS: Transport Format set, such as the byte length of IP packets corresponding to various speech coding formats introduced in the prior art) that must be included for the service. The TFS may be configured to the MAC layer through RRC signaling, and may also be configured to other functional entities of layer 2 and layer 1.
2. And the RT-MAC measures the channel quality and the data packet receiving and transmitting quality of the user at an air interface and reports the channel quality and the data packet receiving and transmitting quality to the FC-MAC.
3. After receiving the measurement, the FC-MAC starts the big data operation function module, accurately approximates and quantizes the channel quality of the user at the air interface and the data packet transceiving quality, and ensures the timeliness of the calculation result, such as 1ms, 10ms, and the like, depending on the fast operation capability of the big data operation. And inputting the operation result into a judgment function module to generate a judgment result and generate a corresponding idle signaling.
If the data is downlink data receiving and transmitting:
4. and the FC-MAC sends a service source mode change instruction to the downlink service source.
5. The service source generates service packets according to the new mode and sends them to the RT-MAC via layer 2 and layer 3.
6. And the RT-MAC directly sends the datagram through an air interface service channel.
7. After receiving the data packet, the MAC of the terminal side processes the data packet jointly with other packet processing layers (SDAP/PDCP/RLC), and the finally obtained IP packet considers that the data has correct data as long as the IP packet is one packet size in TFS configured by RRC signaling; otherwise, the data packet is discarded. And sends the correct packet to the upper layer.
For uplink data transceiving:
8. and the FC-MAC sends a service source model change instruction to the RT-MAC.
9. The RT-MAC selects to use PDCCH or MAC CE to transmit the indication to the terminal side according to the current scheduling situation. Wherein the formats of PDCCH and MAC CE are newly defined formats. Such as: a DCI format of a specific PDCCH is defined, and a number of bits are provided therein to identify a TFI (TF indicator, each TF being indexed by a subscript of a TFs) for each packet size. A special MAC CE type is defined and is used exclusively for transmitting TFIs, and the specific MAC CE format may be extended along with the existing MAC CE format.
10. The MAC of the user side receives the corresponding PDCCH or MAC CE, analyzes the indication and sends the indication to the uplink service source.
11. An uplink data source sends a data packet according to a new data format, after a layer 2(SDAP/PDCP/RLC/MAC) at a terminal side receives the data packet, the finally obtained IP packet considers that the data has correct data as long as the IP packet has one packet size in TFS configured by RRC signaling, and the correct data packet is sent to an air interface.
Therefore, by adopting the scheme, the uplink and/or downlink service model can be selected for the terminal equipment by combining the air interface channel parameters of the terminal equipment, so that dynamic processing can be performed according to the current air interface quality of the terminal equipment in real time to obtain the service model which best meets the current condition, and the problem that the terminal equipment cannot provide service meeting the current air interface quality is solved.
Example III,
The embodiment provides a service model selecting apparatus, as shown in fig. 6, including:
a communication interface 61, configured to obtain an air interface channel parameter of a terminal device;
a processor 62, configured to determine, based on an air interface channel parameter of the terminal device, a service model for the terminal device through a first type protocol layer; the first type protocol layer is a protocol layer which at least can carry out mapping capability between a transmission channel and a physical channel, or a protocol layer which can control, distribute or manage air interface physical layer resources according to the characteristics of a received and transmitted data packet;
wherein the processor 62 is configured to determine an uplink traffic model for the terminal device, and/or determine a downlink traffic model for the terminal device.
Aiming at the increase of service types in 5G, such as the Internet of things, the Internet of vehicles, industrial application and traditional mobile communication services, a proper data source service model can be accurately and timely selected according to the channel quality of a user at an air interface, and the mobile communication experience of the user can be effectively improved.
The method provided in this embodiment may be applied to a device on the network side, for example, may be applied to MAC, or may be applied to RAN, which is not limited herein, as long as the network device is capable of performing calculation and transceiving functions. In particular, it may operate on a wireless network device, such as a base station (eNB of 4G, gNB of 5G), or an auxiliary device dedicated to external access by the base station.
The wireless big data operation function module runs on wireless network equipment, such as a base station (eNB of 4G, gNB of 5G), or auxiliary equipment exclusively accessed from outside of the base station.
Various air interface channel parameters required by the wireless big data operation functional module are directly obtained on the wireless network equipment and are directly input into the wireless big data operation functional module for storage and calculation. And generating parameters of a data source service model after calculation by the wireless big data operation functional module. The air interface channel parameters do not need to be sent to the upper layer of the protocol stack above the wireless network.
And the wireless big data operation functional module sends the calculated data source service source model parameters to the service source server, and instructs the service source server to generate service source model parameters such as the size of a data packet and the transmission time interval which meet the requirements.
It should be understood that the aforementioned wireless big data operation functional module may be a functional module that can be provided by the processor 62.
Based on the foregoing description, the following description is specifically made with reference to fig. 2:
the communication interface is used for acquiring channel measurement parameters of the terminal equipment;
the processor is configured to determine a channel quality of the terminal device based on the channel measurement parameter of the terminal device; acquiring a QOS requirement of a service of terminal equipment; and determining an uplink service model and/or a downlink service model for the terminal equipment based on the channel quality of the terminal equipment and the QOS requirement of the service.
That is to say, in the process of determining the uplink and/or downlink service model, the selection may be performed in combination with the QOS requirements of the specific service of the terminal device, for example, the selection of the service model for the terminal device is performed according to the transmission rate that the terminal itself can support, so that the service model more suitable for the terminal device can be obtained.
For the downlink: and sending the downlink service model aiming at the terminal equipment to a service source server so that the service source server sends downlink service data based on the downlink service model after receiving the indication. Specifically, the method comprises the following steps:
after calculating the parameters of the downlink data source service model, notifying a service source server through a signaling defined by a base station; and after receiving the indication, the downlink service source server sends downlink data according to the indication.
For the uplink: and sending the uplink service model aiming at the terminal equipment to the terminal equipment side through an air interface.
Specifically, after calculating parameters of the uplink data source service model, notifying the terminal side through control signaling of an air interface (such as RRC signaling, PDCCH control indication, MAC CE control indication, or other control modes defined by the air interface); correspondingly, after receiving the air interface instruction, the terminal side sends the instruction to an uplink service source server or a data source; and after receiving the indication, the uplink service source server or the data source sends uplink data according to the indication.
Referring to fig. 2, there is a service model selection implemented by the MAC of the MAC control terminal Side (UE Side) of the Network Side (Network Side). Specifically, the method comprises the following steps:
the MAC of the network side predicts the quality of the user channel according to the monitored user channel information; the MAC of the network side can also select a reasonable service model according to the QoS requirement of the service of the user.
For an uplink service source sent by a terminal, a network side MAC sends a control signaling to a terminal side MAC, the terminal sends a service source model change request to the uplink service source, and in the subsequent uplink service process, the terminal uploads data according to a new service source model; for a downlink service source sent by a network side, the MAC of the network side directly sends a new service source model change request to the downlink service source, and the MAC of the network side starts a new service source model to send data in subsequent scheduling.
The network side MAC carries out user channel quality monitoring and service source model selection: logically it can be divided into two parts:
a) the scheduler of the MAC monitors the channel quality of the users in real time. The MAC scheduler monitors the user channel quality for the user on each access carrier.
b) User channel quality monitoring among multiple MAC schedulers. The user channel quality information monitored by a plurality of MAC schedulers is converged and reported to a channel quality calculation and service source model prediction function module among the schedulers, the function module adopts the calculation capability and algorithm provided by a big data calculation platform, the service source model is predicted by calculating the user channel quality, the result is reported to a downlink service source or is sent to the MAC of a terminal through the MAC schedulers, and the MAC of the terminal is sent to an uplink service source.
User channel quality calculation function: by measuring the reported initial bler (initial bler), the residual bler (residual bler), the code rate, the average TB (transport block) block size, the maximum TB block size, the average rate (unit bps) of data received by the data cache, the average rate (unit bps) of data sent by the data cache, the number of times of idle storage in the data cache, the number of times of data loss and overflow of the data cache, the corresponding data amount, the number of times of data packet segmentation, the number of times of data packet concatenation, etc., the above parameters include the measured data of each TTI and the measured data counted in a certain period.
The result of the user channel quality calculation needs to have certain robustness, user rate fluctuation caused by jitter of an air interface channel can be shielded, the change of the air interface channel every time can not be reflected to the selection of a service source model in real time, and the stability and invariance within a certain time period are required.
When the service source model cannot be converged quickly through the measurement information, the user channel quality calculation function module should keep the service source model unchanged to ensure quick convergence of algorithm calculation. And starting a Segmentation Function (Segmentation Function) or a Concatenation Function (Concatenation Function) of the data to realize the matching of the size of the service data and the size of the air interface TB.
Through the parameters and the corresponding period, the Channel Status computing and Service Source Model Prediction function module of the MAC completes the definition of a Service Source Model suitable for the air interface of the user:
A) the service source model suitable for the user includes the size of a service sampling data packet provided by a service source, a time interval for generating the data packet, an average data packet size which can be borne by an air interface, and the like.
B) The life cycle of the new traffic source model, including the starting point in time and possibly the duration.
2. Selecting an uplink and downlink service source model: fig. 4 shows a service source model selection process under MAC control. For convenience of description, the MAC functions in FIG. 4 are respectively labeled as FC-MAC (fast Control MAC) and RT-MAC (real Time MAC) corresponding to the upper and lower MAC functions.
1. Service and radio bearer establishment/reconfiguration: in the RRC signaling of the user radio bearer establishment or reconfiguration process, parameters related to establishment or configuration are set up in layer 2(SDAP/PDCP/RLC/MAC) and layer 1 (physical layer) on the network side and the terminal side, wherein the lengths of IP packets at various service source coding rates to be selected are given in a source packet size Format set (TFS: Transport Format set, such as the byte length of IP packets corresponding to various speech coding formats introduced in the prior art) that must be included for the service. The TFS may be configured to the MAC layer through RRC signaling, and may also be configured to other functional entities of layer 2 and layer 1.
2. And the RT-MAC measures the channel quality and the data packet receiving and transmitting quality of the user at an air interface and reports the channel quality and the data packet receiving and transmitting quality to the FC-MAC.
3. After receiving the measurement, the FC-MAC starts a big data operation function module, performs accurate approximation quantization on the channel quality of the user at the air interface and the data packet transceiving quality, and ensures timeliness of the calculation result, such as timeliness of 1ms, 10ms, and the like, depending on the fast operation capability of big data operation. And inputting the operation result into a judgment function module to generate a judgment result and generate a corresponding idle signaling.
If the data is downlink data transceiving:
4. and the FC-MAC sends a service source mode change instruction to the downlink service source.
5. The service source generates service data packets according to the new mode and sends the service data packets to the RT-MAC through the layer 2 and the layer 3.
6. And the RT-MAC directly sends the datagram through an air interface service channel.
7. After receiving the data packet, the MAC at the terminal side processes the data packet jointly with other packet processing layers (SDAP/PDCP/RLC), and the finally obtained IP packet considers that the data has correct data as long as the IP packet is one packet size in TFS configured by RRC signaling; otherwise, the data packet is discarded. And sends the correct packet to the upper layer.
For uplink data transceiving:
8. and the FC-MAC sends a service source model change instruction to the RT-MAC.
9. The RT-MAC selects to use PDCCH or MAC CE to transmit the indication to the terminal side according to the current scheduling situation. Wherein the formats of PDCCH and MAC CE are newly defined formats. Such as: a DCI format of a dedicated PDCCH is defined, and a number of bits are provided to identify a TFI (TF indicator, each TF is indexed at a subscript of a TFs) for each packet size. A special MAC CE type is defined, which is specially used for transmitting the TFI, and a specific MAC CE format may be extended along with the existing MAC CE format.
10. The MAC of the user side receives the corresponding PDCCH or MAC CE, analyzes the indication and sends the indication to the uplink service source.
11. An uplink data source sends a data packet according to a new data format, after a layer 2(SDAP/PDCP/RLC/MAC) at a terminal side receives the data packet, the finally obtained IP packet considers that the data has correct data as long as the IP packet has one packet size in TFS configured by RRC signaling, and the correct data packet is sent to an air interface.
Therefore, by adopting the scheme, the uplink and/or downlink service model can be selected for the terminal equipment by combining the air interface channel parameters of the terminal equipment, so that dynamic processing can be performed according to the current air interface quality of the terminal equipment in real time to obtain the service model which best meets the current condition, and the problem that the terminal equipment cannot provide service meeting the current air interface quality is solved.
Further, the present application also provides an apparatus comprising: a processor and a memory for storing a computer program capable of running on the processor,
wherein the processor is configured to perform the steps of one of the embodiments of the method when running the computer program. And the processor can execute the steps of the method provided in the first embodiment, which are not described herein again.
The present application also provides a storage medium having a computer program stored thereon, wherein the computer program realizes the steps of one of the described methods when executed by a processor. And when being executed by a processor, the computer program implements the steps of the method provided in the first embodiment, which are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, an apparatus, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (13)
1. A method for business model determination, the method comprising:
acquiring air interface channel parameters corresponding to terminal equipment;
determining a service model for the terminal equipment through a first type protocol layer based on the air interface channel parameters of the terminal equipment; the first type protocol layer is a protocol layer which at least can carry out mapping capability between a transmission channel and a physical channel, or a protocol layer which can control, distribute or manage air interface physical layer resources according to the characteristics of a received and transmitted data packet; the parameters of the business model at least comprise: the size of a service sampling data packet, the time interval for generating the data packet, and the average size of the data packet which can be borne by an air interface;
wherein the determining a service model for the terminal device includes:
determining an uplink traffic model for the terminal device, and/or determining a downlink traffic model for the terminal device.
2. The method according to claim 1, wherein the obtaining of the air interface channel parameter corresponding to the terminal device includes:
acquiring the air interface channel parameters reported by the terminal equipment, and/or measuring the air interface channel parameters aiming at the terminal equipment.
3. The method according to claim 2, wherein the obtaining of the air interface channel parameters reported by the terminal device includes:
acquiring channel measurement parameters of terminal equipment, and determining the channel quality of the terminal equipment based on the channel measurement parameters of the terminal equipment;
determining a service model for the terminal equipment through a first type protocol layer based on the air interface channel parameters of the terminal equipment, wherein the determining comprises the following steps:
the first protocol layer obtains the QOS requirement of the service of the terminal equipment;
and determining an uplink service model and/or a downlink service model for the terminal equipment by the first protocol layer based on the channel quality of the terminal equipment and the QOS requirement of the service.
4. The method of claim 1, further comprising:
and sending the downlink service model aiming at the terminal equipment to a service source server so that the service source server sends downlink service data based on the downlink service model after receiving the indication.
5. The method of claim 1, further comprising:
and sending the uplink service model aiming at the terminal equipment to the terminal equipment side through an air interface.
6. A business model selection apparatus, the apparatus comprising:
the parameter acquisition module is used for acquiring air interface channel parameters corresponding to the terminal equipment;
the wireless big data operation function module is used for determining a service model for the terminal equipment through a first protocol layer based on the air interface channel parameter of the terminal equipment; the first type protocol layer is a protocol layer which at least can carry out mapping capability between a logic channel and a transmission channel; the parameters of the business model at least comprise: the size of a service sampling data packet, the time interval for generating the data packet, and the average size of the data packet which can be borne by an air interface; the wireless big data operation function module is used for determining an uplink service model for the terminal equipment and/or determining a downlink service model for the terminal equipment.
7. A business model selection apparatus, the apparatus comprising:
the communication interface is used for acquiring air interface channel parameters corresponding to the terminal equipment;
a processor, configured to determine, based on an air interface channel parameter of the terminal device, a service model for the terminal device through a first type protocol layer; the first type protocol layer is a protocol layer which at least can carry out mapping capability between a transmission channel and a physical channel, or a protocol layer which can control, distribute or manage air interface physical layer resources according to the characteristics of a received and transmitted data packet; the parameters of the business model at least comprise: the size of a service sampling data packet, the time interval for generating the data packet, and the average size of the data packet which can be borne by an air interface; the processor is configured to determine an uplink service model for the terminal device, and/or determine a downlink service model for the terminal device.
8. The apparatus according to claim 7, wherein the communication interface is configured to obtain an air interface channel parameter reported by the terminal device, and/or measure an air interface channel parameter for the terminal device.
9. The apparatus of claim 8, wherein the communication interface is configured to obtain channel measurement parameters of a terminal device;
the processor is configured to determine, by the first type protocol layer, an uplink service model and/or a downlink service model for the terminal device based on the channel quality of the terminal device and the QOS requirement of the service.
10. The apparatus of claim 7, further comprising:
the communication interface is configured to send a downlink service model for the terminal device to a service source server, so that the service source server sends downlink service data based on the downlink service model after receiving the instruction.
11. The apparatus according to claim 7, wherein the communication interface is configured to send the uplink service model for the terminal device to the terminal device side over an air interface.
12. A business model selection apparatus, comprising: a processor and a memory for storing a computer program capable of running on the processor,
wherein the processor is adapted to perform the steps of the method of any one of claims 1 to 5 when running the computer program.
13. A storage medium having a computer program stored thereon, wherein the computer program realizes the steps of the method of any one of claims 1-5 when executed by a processor.
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| CN116249119A (en) * | 2021-12-07 | 2023-06-09 | 维沃移动通信有限公司 | Model configuration method and device and communication equipment |
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