CN107567049B - Carrier aggregation throughput detection method and device - Google Patents
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Abstract
The embodiment of the invention provides a method and a device for detecting carrier aggregation throughput, which judge whether the data belongs to repeated transmission time interval scheduling data or not according to the data of transmission block received by a network element; counting the service scheduling data quantity of the repeated transmission time interval scheduling data, and deleting the service scheduling time; for the non-repeated transmission time interval scheduling data, carrying out statistical processing on the service scheduling data volume and the service scheduling time; completing throughput detection according to the service scheduling data volume and the service scheduling time after statistical processing; by adopting the scheme, the scene that each carrier schedules data at the same transmission time interval can be identified in the carrier aggregation scene, the repeated transmission time interval is removed, the carrier aggregation scheduling throughput can be accurately measured, and the carrier aggregation gain can be fully and effectively embodied.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to a method and an apparatus for detecting carrier aggregation throughput.
Background
Carrier aggregation is used as a key technology capable of effectively increasing system transmission bandwidth in LTE-a (Long Term Evolution Advanced, Long Term Evolution technology upgrade), and is increasingly widely applied in LTE (Long Term Evolution) systems.
The current methods for counting the scheduling throughput are respectively counting the data volume and the scheduling time of each carrier service, and calculating the scheduling throughput of each carrier:
carrier scheduling throughputjTraffic volumejService data scheduling timej(j denotes a corresponding carrier).
Then, respectively summarizing the service data volume and the service data scheduling time of each carrier to calculate the UE (User Equipment) level scheduling throughput:
since each carrier carries out scheduling data respectively, a scene that a plurality of carriers schedule data in the same subframe exists, namely, a situation of time repeated statistics exists, and in this situation, the UE-level scheduling throughput cannot reflect carrier aggregation gain according to the calculation formula.
In view of the above problems, a method and an apparatus capable of accurately measuring carrier aggregation scheduling throughput and fully embodying carrier aggregation gain are provided, which are technical problems to be solved urgently by those skilled in the art.
Disclosure of Invention
The embodiment of the invention mainly solves the technical problem of providing a method and a device for detecting carrier aggregation throughput, and solves the problems that in the prior art, due to the fact that each carrier carries out scheduling data respectively, a plurality of carriers can be in a scene of scheduling data in the same subframe, namely, time repeated statistics exists, and the UE-level scheduling throughput cannot reflect carrier aggregation gain under the condition.
To solve the foregoing technical problem, an embodiment of the present invention provides a method for detecting carrier aggregation throughput, including:
judging whether the data belongs to repeated transmission time interval scheduling data or not according to the data of the transmission block received by the network element;
counting the service scheduling data quantity of the repeated transmission time interval scheduling data, and deleting the service scheduling time;
for the non-repeated transmission time interval scheduling data, carrying out statistical processing on the service scheduling data volume and the service scheduling time;
and completing throughput detection according to the service scheduling data volume and the service scheduling time after statistical processing.
To solve the foregoing technical problem, an embodiment of the present invention provides a carrier aggregation throughput detection apparatus, including:
the judging module is used for judging whether the data belongs to the repeated transmission time interval scheduling data or not according to the transmission block data received by the network element;
the processing module is used for counting the service scheduling data quantity of the repeated transmission time interval scheduling data and deleting the service scheduling time; for the non-repeated transmission time interval scheduling data, carrying out statistical processing on the service scheduling data volume and the service scheduling time;
and the control module is used for finishing throughput detection according to the service scheduling data volume and the service scheduling time after the statistical processing.
In order to solve the above technical problem, an embodiment of the present invention further provides a computer storage medium, where computer-executable instructions are stored in the computer storage medium, and the computer-executable instructions are used to execute the carrier aggregation throughput detection method.
The invention has the beneficial effects that:
according to the method and the device for detecting the carrier aggregation throughput, whether the data belongs to the repeated transmission time interval scheduling data or not is judged according to the data of the transmission block received by the network element; counting the service scheduling data quantity of the repeated transmission time interval scheduling data, and deleting the service scheduling time; for the non-repeated transmission time interval scheduling data, carrying out statistical processing on the service scheduling data volume and the service scheduling time; completing throughput detection according to the service scheduling data volume and the service scheduling time after statistical processing; by adopting the scheme, the scene that each carrier schedules data at the same transmission time interval can be identified in the carrier aggregation scene, the repeated transmission time interval is removed, the carrier aggregation scheduling throughput can be accurately measured, and the carrier aggregation gain can be fully and effectively embodied.
Drawings
Fig. 1 is a flowchart of a carrier aggregation throughput detection method according to an embodiment of the present invention;
fig. 2 is a schematic view of a carrier aggregation downlink service according to a first embodiment of the present invention;
fig. 3 is a schematic diagram of a carrier aggregation uplink service according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a carrier aggregation throughput detection apparatus according to a second embodiment of the present invention.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
Example one
In order to accurately measure the carrier aggregation scheduling throughput and fully and effectively embody the carrier aggregation gain, the embodiment provides a method for detecting the carrier aggregation throughput, which is shown in fig. 1 and includes the following steps:
s101: and judging whether the transmission block data received by the network element belongs to the repeated transmission time interval scheduling data or not according to the transmission block data received by the network element, if so, entering S102, and if not, entering S103.
Wherein the transport block data includes: and the base station receives the data of the transmission block sent by the user equipment, and the user equipment performs transmission block grouping according to the scheduling result to send the data of the transmission block to the base station. That is, the transport block data includes transport block data received in uplink, and transport block data composed of a scheduling result of a Media Access Control (MAC) received in downlink.
Here, a Transmission Time Interval (TTI) is a length of one independently decoded Transmission in a radio link, and in the LTE-a standard, 1TTI is generally regarded as 1 ms.
Wherein, judging whether the data belongs to the scheduling data of the repeated transmission time interval according to the data of the transmission block received by the network element comprises: and judging whether the current air interface time is equal to the air interface time of the data of the transmission block received by the network element at the last time bearing the same subframe, if so, belonging to the repeated transmission time interval scheduling data, otherwise, not belonging to the repeated transmission time interval scheduling data.
Wherein, judging whether the current air interface time is equal to the air interface time of the data of the transmission block received by the last network element bearing the same subframe comprises: acquiring current subframe information, current user equipment identification information and current bearing identification information according to current transmission block data, acquiring the air interface time of the last transmission block data transmission of the current subframe according to the information, and comparing the air interface time with the air interface time of the transmission block data transmission of the current time to determine whether the air interface time is equal to the air interface time of the transmission block data transmission of the current time.
S102: and for the repeated transmission time interval scheduling data, the service scheduling data amount is subjected to statistical processing, the service scheduling time is deleted, and then the S104 is carried out.
S103: and for the non-repeated transmission time interval scheduling data, carrying out statistical processing on the traffic scheduling data volume and the traffic scheduling time, and then entering S104.
S104: and completing throughput detection according to the service scheduling data volume and the service scheduling time after statistical processing.
The step of completing throughput detection according to the service scheduling data volume and the service scheduling time after the statistical processing comprises the following steps: dividing the calculation result of the service scheduling data volume after the statistical processing by the service scheduling time after the statistical processing as the detected service scheduling throughput, namely calculating according to the following formula: the service scheduling throughput is the service scheduling data volume/service scheduling time.
A specific example is shown below to further explain the scheme of the embodiment, where referring to fig. 2, fig. 2 is a schematic diagram of a carrier aggregation downlink service, where a UE is located in a cell 1, a secondary carrier is used to assist scheduling of a primary carrier, and two secondary carriers are located in a cell 2 and a cell 3, respectively. The carrier aggregation downlink service process comprises the following steps:
s201: the UE performs downlink service, when a service message (with a service message length of L1) receives a scheduling result and performs transmission of a transport block data packet, acquires a current subframe A, a current UE identifier G, a current bearer identifier R and an air interface time T1 for service message transmission according to the scheduling result, and acquires an air interface time T2 for the last transmission of the transport block data packet of the subframe currently borne by the current UE according to A, G, R information.
S202: judging whether T2 is equal to T1, if the equation is true, indicating that the current service message scheduling is repeated TTI, accumulating L1 to the service scheduling data volume to obtain the service scheduling data volume after statistical processing; if the equality is not satisfied, indicating that the current service message scheduling is not repeated TTI, accumulating the L1 to the service scheduling data volume to obtain the service scheduling data volume after statistical processing; and adding 1ms to the service scheduling time T to obtain the service scheduling time after statistical processing. T2 is updated to T1.
S203: calculating the downlink service scheduling throughput: the downlink service scheduling throughput is the service scheduling data volume after the statistical processing divided by the service scheduling time after the statistical processing.
Referring to fig. 3, fig. 3 is a schematic diagram of a carrier aggregation uplink service, where a UE is located in a cell 1, an auxiliary carrier is used to assist scheduling of a primary carrier, and two auxiliary carriers are located in a cell 2 and a cell 3, respectively. The carrier aggregation uplink service process comprises the following steps:
s301: when the base station receives data (service message data length is L2) of service data transmission block sent by the UE, the UE performs uplink service, acquires the current subframe B, the current UE identifier C, the current bearer identifier D and the air interface time T3 sent by the service message according to the information carried by the data of the transmission block, and acquires the air interface sending time T4 of the last time the data of the transmission block received by the subframe currently borne by the UE according to B, C, D information.
S302: judging whether T4 is equal to T3, if the equation is true, indicating that the current service message scheduling is repeated TTI, accumulating L2 to the service scheduling data volume to obtain the service scheduling data volume after statistical processing; if the equality is not satisfied, indicating that the current service message scheduling is not repeated TTI, accumulating the L2 to the service scheduling data volume to obtain the service scheduling data volume after statistical processing; and adding 1ms to the service scheduling time T to obtain the service scheduling time after statistical processing. T4 is updated to T3.
S303: calculating the scheduling throughput of the uplink service: the uplink service scheduling throughput is the service scheduling data volume after the statistical processing divided by the service scheduling time after the statistical processing.
The scheme of this example is further illustrated below by way of a specific example.
The method for detecting the carrier aggregation throughput provided by the embodiment comprises the following steps:
s401: and adding a TTI mark for the transmission block data formed by the uplink received transmission block data and the downlink received MAC layer scheduling result.
When the data of the transmission block is received in an uplink or the scheduling result of an MAC layer is received in a downlink, judging whether the current air interface time is equal to the last time of the data of the transmission block received in the uplink or the MAC scheduling result received in the downlink of the current subframe, if so, indicating that the data is scheduled data of the same TTI, and marking that the TTI time of the data of the TB block is not counted; if not, indicating that the data is the data scheduled by different TTIs, marking the TTI time statistics of the TB data.
S402: and counting the service scheduling data volume and the service scheduling time according to the transmission block data mark.
When the uplink delivers Data to a Packet Data Convergence Protocol (PDCP) layer or the downlink Data receives corresponding hybrid automatic repeat request (HARQ ACK) feedback, the service scheduling Data volume and the service scheduling time are counted according to the marks.
S403: and calculating the scheduling throughput under the carrier aggregation scene according to the counted service scheduling data volume and the service scheduling time.
Scheduling throughput is traffic scheduling data volume/traffic scheduling time.
The carrier aggregation downlink service comprises the following steps:
s501: maintaining an array for storing the air interface time of service message transmission: DlTransTime [ gid ] [ rbid ] [ subframe ]; and maintains two counters: the service scheduling data volume DlPackLenVol; the service scheduling time DlPackTime.
S502: and the UE performs downlink service, and when a service message (with the service message length being DlLen) receives the scheduling result and performs transmission block data packet transmission, acquires the current subframe DlCurSubFrame and the air interface time DlCurTransTime for service message transmission.
S503: judging whether the DlCurTransTime is equal to the DlTransTime [ gid ] [ rbid ] [ DlCurSubFrame ], if so, indicating that the current service message scheduling is a repeated TTI, and adding a repeated TTI mark on the transmission block data of the current packet; if not, a not-repeated TTI flag is added to the transport block data of the current packet.
S504: and sending corresponding transmission block data at the corresponding air interface time.
S505: the UE successfully receives the transport block data and sends a HARQ ACK feedback to the base station.
S506: when the base station receives the HARQ ACK, executing DlPackLenVol + (DlLen); and judging whether the mark on the corresponding TB is a repeated TTI, if not, executing DlPackTime + +.
S507: and calculating the service scheduling rate, wherein the downlink service scheduling rate is DlPackLenVol/DlPackTime.
The carrier aggregation uplink service comprises the following steps:
s601: maintaining an array for storing the air interface time of service message transmission: UlTransTime [ gid ] [ rbid ] [ subframe ]; and maintains two counters: the service scheduling data volume UlPackLenVol; traffic scheduling time UlPackTime.
S602: the UE performs uplink service, and when the base station receives service data (the length of service message data is UlLen) sent by the UE, the base station acquires a current subframe UlCurSubFrame and air interface time UlCurTransTime sent by the service message.
S603: judging whether the UlCurTransTime is equal to UlTransTime [ gid ] [ rbid ] [ UlCurSubFrame ], if so, indicating that the current service message scheduling is a repeated TTI, and adding a repeated TTI mark on the corresponding service message; and if not, adding the repeated TTI marks on the corresponding service messages.
S604: when the base station sends a service message to a core network, executing UlPackLenVol + -, UlLen; and judging whether the mark on the corresponding service message is a repeated TTI, if not, executing the UlPackTime + +.
S605: and calculating a service scheduling rate, wherein the uplink service scheduling rate is UlPackLenVol/UlPackTime.
According to the carrier aggregation throughput detection method provided by the embodiment of the invention, whether the data belongs to the repeated transmission time interval scheduling data is judged according to the data of the transmission block received by the network element; counting the service scheduling data quantity of the repeated transmission time interval scheduling data, and deleting the service scheduling time; for the non-repeated transmission time interval scheduling data, carrying out statistical processing on the service scheduling data volume and the service scheduling time; completing throughput detection according to the service scheduling data volume and the service scheduling time after statistical processing; by adopting the scheme, the scene that each carrier schedules data at the same transmission time interval can be identified in the carrier aggregation scene, the repeated transmission time interval is removed, the carrier aggregation scheduling throughput can be accurately measured, and the carrier aggregation gain can be fully and effectively embodied.
Example two
In order to measure the carrier aggregation scheduling throughput accurately and to reflect the carrier aggregation gain sufficiently and effectively, this embodiment provides a carrier aggregation throughput detection apparatus, which, referring to fig. 4, includes:
the determining module 701 is configured to determine whether the data belongs to the retransmission time interval scheduling data according to the data of the transmission block received by the network element.
The transport block data includes: and the base station receives the data of the transmission block sent by the user equipment, and the user equipment performs transmission block grouping according to the scheduling result to send the data of the transmission block to the base station. That is, the transport block data includes transport block data received in uplink, and transport block data composed of a scheduling result of a Media Access Control (MAC) received in downlink.
Here, a Transmission Time Interval (TTI) is a length of one independently decoded Transmission in a radio link, and in the LTE-a standard, 1TTI is generally regarded as 1 ms.
The determining module 701 is configured to: and judging whether the current air interface time is equal to the air interface time of the data of the transmission block received by the network element at the last time bearing the same subframe, if so, belonging to the repeated transmission time interval scheduling data, otherwise, not belonging to the repeated transmission time interval scheduling data.
The determining module 701 is configured to: acquiring current subframe information, current user equipment identification information and current bearing identification information according to current transmission block data, acquiring the air interface time of the last transmission block data transmission of the current subframe according to the information, and comparing the air interface time with the air interface time of the transmission block data transmission of the current time to determine whether the air interface time is equal to the air interface time of the transmission block data transmission of the current time.
A processing module 702, configured to perform statistical processing on the service scheduling data amount of the retransmission time interval scheduling data, and delete the service scheduling time; for the non-repeated transmission time interval scheduling data, carrying out statistical processing on the service scheduling data volume and the service scheduling time;
and the control module 703 is configured to complete throughput detection according to the service scheduling data amount and the service scheduling time after the statistical processing.
The control module 703 is configured to: and dividing the service scheduling data volume after the statistical processing by the calculation result of the service scheduling time after the statistical processing to be used as the detected service scheduling throughput. I.e. calculated according to the following formula: the service scheduling throughput is the service scheduling data volume/service scheduling time.
According to the carrier aggregation throughput detection apparatus provided in the embodiment of the present invention, the determining module 701 determines whether the data belongs to the retransmission time interval scheduling data according to the data of the transmission block received by the local network element; the processing module 702 performs statistical processing on the service scheduling data amount of the repeated transmission time interval scheduling data, and deletes the service scheduling time; for the non-repeated transmission time interval scheduling data, carrying out statistical processing on the service scheduling data volume and the service scheduling time; the control module 703 completes throughput detection according to the service scheduling data amount and service scheduling time after the statistical processing; by adopting the scheme, the scene that each carrier schedules data at the same transmission time interval can be identified in the carrier aggregation scene, the repeated transmission time interval is removed, the carrier aggregation scheduling throughput can be accurately measured, and the carrier aggregation gain can be fully and effectively embodied.
There is also provided in another embodiment a computer storage medium having stored thereon computer-executable instructions for performing the carrier aggregation throughput detection method of any one of the embodiments.
It will be apparent to those skilled in the art that the modules or steps of the above-described embodiments of the present invention may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed over a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored on a storage medium (ROM/RAM, magnetic disk, optical disk) and executed by a computing device, and in some cases, the steps shown or described may be executed out of order from that shown or described, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The foregoing is a more detailed description of embodiments of the present invention, and the present invention is not to be considered limited to such descriptions. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (10)
1. A carrier aggregation throughput detection method comprises the following steps:
judging whether the transmission block data received by the network element belongs to repeated transmission time interval scheduling data or not according to the transmission block data received by the network element, wherein the repeated transmission time interval scheduling data refers to scheduling data with equal independent decoding transmission length;
counting the service scheduling data quantity of the repeated transmission time interval scheduling data, and deleting the service scheduling time;
for the non-repeated transmission time interval scheduling data, carrying out statistical processing on the service scheduling data volume and the service scheduling time;
and completing throughput detection according to the service scheduling data volume and the service scheduling time after statistical processing.
2. The method of claim 1, wherein the determining whether the data belongs to the retransmission time interval scheduling data according to the data of the transport block received by the network element comprises: and judging whether the air interface time of the data of the transmission block received by the current network element is equal to the air interface time of the data of the transmission block received by the last network element bearing the same subframe, if so, belonging to the scheduling data of the repeated transmission time interval, otherwise, not belonging to the scheduling data of the repeated transmission time interval.
3. The method of claim 2, wherein the determining whether the current air interface time is equal to an air interface time of transport block data received by a previous network element carrying a same subframe comprises: acquiring current subframe information, current user equipment identification information and current bearing identification information according to current transmission block data, acquiring the air interface time of the last transmission block data transmission of the current subframe according to the information, and comparing the air interface time with the air interface time of the transmission block data transmission of the current time to determine whether the air interface time is equal to the air interface time of the transmission block data transmission of the current time.
4. The carrier aggregation throughput detection method according to any one of claims 1 to 3, wherein the transport block data comprises: and the base station receives the data of the transmission block sent by the user equipment, and the user equipment performs transmission block grouping according to the scheduling result to send the data of the transmission block to the base station.
5. The carrier aggregation throughput detection method according to any one of claims 1 to 3, wherein the performing throughput detection according to the statistically processed traffic scheduling data volume and traffic scheduling time comprises: and dividing the service scheduling data volume after the statistical processing by the calculation result of the service scheduling time after the statistical processing to be used as the detected service scheduling throughput.
6. A carrier aggregation throughput detection apparatus comprising:
the judging module is used for judging whether the data belongs to repeated transmission time interval scheduling data according to the transmission block data received by the network element, wherein the repeated transmission time interval scheduling data refers to scheduling data with equal independent decoding transmission length;
the processing module is used for counting the service scheduling data quantity of the repeated transmission time interval scheduling data and deleting the service scheduling time; for the non-repeated transmission time interval scheduling data, carrying out statistical processing on the service scheduling data volume and the service scheduling time;
and the control module is used for finishing throughput detection according to the service scheduling data volume and the service scheduling time after the statistical processing.
7. The carrier aggregation throughput detection apparatus of claim 6, wherein the determining module is configured to: and judging whether the air interface time of the data of the transmission block received by the current network element is equal to the air interface time of the data of the transmission block received by the last network element bearing the same subframe, if so, belonging to the scheduling data of the repeated transmission time interval, otherwise, not belonging to the scheduling data of the repeated transmission time interval.
8. The carrier aggregation throughput detection apparatus of claim 7, wherein the determining module is configured to: acquiring current subframe information, current user equipment identification information and current bearing identification information according to current transmission block data, acquiring the air interface time of the last transmission block data transmission of the current subframe according to the information, and comparing the air interface time with the air interface time of the transmission block data transmission of the current time to determine whether the air interface time is equal to the air interface time of the transmission block data transmission of the current time.
9. The carrier aggregation throughput detection apparatus according to any one of claims 6 to 8, wherein the transport block data includes: and the base station receives the data of the transmission block sent by the user equipment, and the user equipment performs transmission block grouping according to the scheduling result to send the data of the transmission block to the base station.
10. The carrier aggregation throughput detection apparatus of any one of claims 6 to 8, wherein the control module is configured to: and dividing the service scheduling data volume after the statistical processing by the calculation result of the service scheduling time after the statistical processing to be used as the detected service scheduling throughput.
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