CN106922030B - Scheduling processing method and device - Google Patents

Scheduling processing method and device Download PDF

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CN106922030B
CN106922030B CN201510990554.5A CN201510990554A CN106922030B CN 106922030 B CN106922030 B CN 106922030B CN 201510990554 A CN201510990554 A CN 201510990554A CN 106922030 B CN106922030 B CN 106922030B
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CN106922030A (en
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孙雷
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ZTE Corp
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/56Allocation or scheduling criteria for wireless resources based on priority criteria
    • H04W72/566Allocation or scheduling criteria for wireless resources based on priority criteria of the information or information source or recipient
    • H04W72/569Allocation or scheduling criteria for wireless resources based on priority criteria of the information or information source or recipient of the traffic information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/12Wireless traffic scheduling
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/12Arrangements for detecting or preventing errors in the information received by using return channel
    • H04L1/16Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals
    • H04L1/1607Details of the supervisory signal
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/12Arrangements for detecting or preventing errors in the information received by using return channel
    • H04L1/16Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals
    • H04L1/18Automatic repetition systems, e.g. Van Duuren systems
    • H04L1/1829Arrangements specially adapted for the receiver end
    • H04L1/1858Transmission or retransmission of more than one copy of acknowledgement message
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/12Arrangements for detecting or preventing errors in the information received by using return channel
    • H04L1/16Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals
    • H04L1/18Automatic repetition systems, e.g. Van Duuren systems
    • H04L1/1829Arrangements specially adapted for the receiver end
    • H04L1/1864ARQ related signaling
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/20Control channels or signalling for resource management

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Abstract

The invention provides a scheduling processing method and a scheduling processing device, wherein the method comprises the following steps: the method comprises the steps of obtaining a feedback result of hybrid automatic repeat request (HARQ) of user equipment, obtaining preset parameters of the feedback result within a preset time period, wherein the preset parameters comprise successful response times and failed response times, and adjusting the priority of proportional fair Power Factor (PF) scheduling of the user equipment according to the preset parameters, so that the problem of wasting a large amount of system bandwidth in PF scheduling is solved, and the fault-tolerant capability of the PF scheduling method is improved.

Description

Scheduling processing method and device
Technical Field
The present invention relates to the field of communications, and in particular, to a scheduling processing method and apparatus.
Background
At present, Proportional Fair scheduling (PF) is widely used in wireless devices such as Long-Term Evolution (LTE) of various manufacturers, and a priority formula used in PF scheduling is:
Figure BDA0000889500510000011
wherein, RateinstantaneousIs the instantaneous rate under the same resource conditions, depending on the channel quality; HistoryThroughput is the historical throughput (transmission success).
However, the above PF scheduling has serious drawbacks, such as the following two cases:
(1) when User Equipment (User Equipment, abbreviated as UE) is at a far point, a downlink Modulation and Coding Scheme (MCS) is reduced to 0, and a large block error rate (BLER) still exists, and when the downlink Modulation and Coding Scheme (MCS) is reduced to more than 50%, the UE occupies most of the bandwidth of the system; because retransmission does not account for Media Access Control (MAC) traffic, the HistoryThroughput will be smaller and smaller, and thus the PF priority will be higher and higher, so the PF priority is always the highest, and this UE is scheduled for each new transmission;
(2) when a link between a UE and an evolved Node B (eNB) is abnormal, a large amount of Discontinuous Transmission (DTX) is caused, and at this time, the PF priority is always higher.
Aiming at the problem that a large amount of system bandwidth is wasted in PF scheduling in the related art, no effective solution exists at present.
Disclosure of Invention
The invention provides a scheduling processing method and a scheduling processing device, which are used for at least solving the problem of wasting a large amount of system bandwidth in PF scheduling in the related art.
According to an aspect of the present invention, there is provided a scheduling processing method, including:
obtaining a feedback result of hybrid automatic repeat request (HARQ) of user equipment;
acquiring preset parameters of the feedback result within a preset time period, wherein the preset parameters comprise successful response times and failed response times;
and adjusting the proportional fair PF scheduling priority of the user equipment according to the preset parameters.
Further, adjusting the priority of proportional fair PF scheduling of the user equipment according to the preset parameter includes:
under the condition that the successful response times are larger than a first adjustment threshold value, the priority of PF scheduling is increased;
and reducing the priority of the PF scheduling under the condition that the number of the failed answers is greater than a second adjustment threshold value.
Further, the prioritizing the PF scheduling comprises: increasing a first value of a scheduling weight parameter of the PF by a first adjustment step length to obtain a second value of the scheduling weight parameter of the PF; calculating to obtain a third value for indicating the scheduling priority of the PF by using the second value of the scheduling weight parameter of the PF, wherein the value of the scheduling priority of the PF is in direct proportion to the value of the scheduling weight parameter of the PF;
the reducing the priority of the PF scheduling comprises: reducing the first value of the scheduling weight parameter of the PF by a second adjustment step length to obtain a fourth value of the scheduling weight parameter of the PF; and calculating by using a fourth value of the scheduling weight parameter of the PF to obtain a fifth value used for indicating the scheduling priority of the PF, wherein the value of the scheduling priority of the PF is in direct proportion to the value of the scheduling weight parameter of the PF.
Further, increasing the first value of the scheduling weight parameter of the PF by a first adjustment step size to obtain a second value of the scheduling weight parameter of the PF includes: MIN (v, W + Δ W)up) Wherein W is the scheduling weight parameter of the PF, v is the initial value of the scheduling weight parameter of the PF, Δ WupFor the first adjustment step length, MIN is the minimum value operation; accordingly, the method can be used for solving the problems that,
reducing the first value of the scheduling weight parameter of the PF by a second adjustment step length, and obtaining a fourth value of the scheduling weight parameter of the PF includes: W-MAX (1, W- Δ W)down) Wherein, Δ WdownFor the second adjustment step, MAX is the maximum operation.
Further, adjusting the priority of proportional fair PF scheduling of the user equipment according to the preset parameter includes:
adjusting the priority of proportional fair PF scheduling for the user equipment according to the following formula:
FFPF=(R×W)/H
wherein, FFPFAnd the value is the indicated value of the priority, R is the instantaneous rate under the same resource condition, H is the historical throughput of successful transmission, and W is the scheduling weight parameter of the PF.
Further, the number of successful responses includes: the number of times of ACK response; the number of failed responses includes at least one of: the number of non-acknowledgement NACKs and the number of discontinuous transmission DTX times.
According to another aspect of the present invention, there is provided a scheduled processing apparatus, including:
an obtaining module, configured to obtain a feedback result of a hybrid automatic repeat request HARQ of a user equipment;
the statistical module is used for acquiring preset parameters of the feedback result in a preset time period, wherein the preset parameters comprise successful response times and failed response times;
and the adjusting module is used for adjusting the priority of proportional fair PF scheduling of the user equipment according to the preset parameters.
Further, the adjustment module includes:
an increase unit, configured to increase a priority of the PF scheduling when the number of successful responses is greater than a first adjustment threshold;
and the reduction unit is used for reducing the priority of the PF scheduling under the condition that the number of the failed answers is greater than a second adjustment threshold value.
Further, the increasing unit is further configured to increase a first value of the scheduling weight parameter of the PF by a first adjustment step length to obtain a second value of the scheduling weight parameter of the PF; calculating to obtain a third value for indicating the scheduling priority of the PF by using the second value of the scheduling weight parameter of the PF, wherein the value of the scheduling priority of the PF is in direct proportion to the value of the scheduling weight parameter of the PF;
the reduction unit is further configured to reduce the first value of the scheduling weight parameter of the PF by a second adjustment step size to obtain a fourth value of the scheduling weight parameter of the PF; and calculating by using a fourth value of the scheduling weight parameter of the PF to obtain a fifth value used for indicating the scheduling priority of the PF, wherein the value of the scheduling priority of the PF is in direct proportion to the value of the scheduling weight parameter of the PF.
Further, the number of successful responses includes: the number of times of ACK response; the number of failed responses includes at least one of: the number of non-acknowledgement NACKs and the number of discontinuous transmission DTX times.
According to the invention, the feedback result of hybrid automatic repeat request HARQ of the user equipment is obtained, the preset parameters of the feedback result are obtained within the preset time period, the preset parameters comprise successful response times and failure response times, and the proportional fair PF scheduling priority of the user equipment is adjusted according to the preset parameters, so that the problem of wasting a large amount of system bandwidth in PF scheduling is solved, and the fault-tolerant capability of the PF scheduling method is improved.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of a method of processing a schedule according to an embodiment of the invention;
FIG. 2 is a block diagram of a scheduled processing device according to an embodiment of the present invention;
FIG. 3 is a block diagram of a second embodiment of a scheduled processing device;
FIG. 4 is a flow diagram of improved PF scheduling data in accordance with a preferred embodiment of the present invention;
fig. 5 is a flow chart of a HARQ multiplicative factor adjustment decision according to a preferred embodiment of the present invention.
Detailed Description
The invention will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
In the present embodiment, a processing method of scheduling is provided, and fig. 1 is a flowchart of a processing method of scheduling according to an embodiment of the present invention, as shown in fig. 1, the flowchart includes the following steps:
step S102, obtaining a feedback result of hybrid automatic repeat request (HARQ) of user equipment;
step S104, acquiring preset parameters of the feedback result in a preset time period, wherein the preset parameters comprise successful response times and failed response times;
step S106, adjusting the priority of proportional fair PF scheduling of the UE according to the preset parameter.
Through the steps, the feedback result of hybrid automatic repeat request HARQ of the user equipment is obtained, the preset parameters of the feedback result are obtained within the preset time period, the preset parameters comprise successful response times and failed response times, the priority of proportional fair PF scheduling of the user equipment is adjusted according to the preset parameters, the problem that a large amount of system bandwidth is wasted in PF scheduling is solved, and the fault-tolerant capability of the PF scheduling method is improved.
In this embodiment, adjusting the priority of proportional fair PF scheduling for the ue according to the preset parameter includes:
under the condition that the successful response times are larger than a first adjustment threshold value, the priority of the PF scheduling is increased;
and reducing the priority of the PF scheduling under the condition that the number of the failed answers is greater than a second adjustment threshold value.
In this embodiment, the increasing the priority of the PF scheduling includes: increasing a first adjustment step length for a first value of a scheduling weight parameter of the PF to obtain a second value of the scheduling weight parameter of the PF; calculating by using the second value of the scheduling weight parameter of the PF to obtain a third value for indicating the scheduling priority of the PF, wherein the value of the scheduling priority of the PF is in direct proportion to the value of the scheduling weight parameter of the PF;
the reducing the priority of the PF scheduling includes: reducing the first value of the scheduling weight parameter of the PF by a second adjustment step length to obtain a fourth value of the scheduling weight parameter of the PF; and calculating by using a fourth value of the scheduling weight parameter of the PF to obtain a fifth value used for indicating the scheduling priority of the PF, wherein the value of the scheduling priority of the PF is in direct proportion to the value of the scheduling weight parameter of the PF.
In this embodiment, increasing the first value of the scheduling weight parameter of the PF by the first adjustment step size to obtain the second value of the scheduling weight parameter of the PF includes: MIN (v, W + Δ W)up) Wherein W is the scheduling weight parameter of the PF, v is the initial value of the scheduling weight parameter of the PF, Δ WupFor the first adjustment step length, MIN is the minimum value operation; accordingly, the method can be used for solving the problems that,
reducing the first value of the scheduling weight parameter of the PF by a second adjustment step length, and obtaining a fourth value of the scheduling weight parameter of the PF includes: W-MAX (1, W- Δ W)down) Wherein, Δ WdownFor the second adjustment step, MAX is the MAX-MAX operation.
In this embodiment, adjusting the priority of proportional fair PF scheduling for the ue according to the preset parameter includes:
adjusting the priority of proportional fair PF scheduling of the UE according to the following formula:
FFPF=(R×W)/H
wherein, FFPFAnd the value is the indicated value of the priority, R is the instantaneous rate under the same resource condition, H is the historical throughput of successful transmission, and W is the scheduling weight parameter of the PF.
In this embodiment, the number of successful responses includes: the number of times of ACK response; the number of failed responses includes at least one of: the number of non-acknowledgement NACKs and the number of discontinuous transmission DTX times.
In this embodiment, a processing apparatus for proportional fair PF scheduling is further provided, and the apparatus is used to implement the foregoing embodiments and preferred embodiments, and details of which have been already described are omitted. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 2 is a block diagram of a scheduled processing apparatus according to an embodiment of the present invention, as shown in fig. 2, the apparatus includes:
an obtaining module 22, configured to obtain a feedback result of a hybrid automatic repeat request HARQ of a user equipment;
the statistical module 24 is connected to the obtaining module 22, and configured to obtain preset parameters of the feedback result in a preset time period, where the preset parameters include successful response times and failed response times;
and an adjusting module 26, connected to the counting module 24, for adjusting the priority of proportional fair PF scheduling of the ue according to the preset parameter.
Through the above steps, the obtaining module 22 obtains a feedback result of the HARQ, the counting module 24 is configured to obtain preset parameters of the feedback result in a preset time period, where the preset parameters include the number of successful responses and the number of failed responses, and the adjusting module 26 adjusts the priority of proportional fair PF scheduling of the ue according to the preset parameters. The problem that a large amount of system bandwidth is wasted in PF scheduling is solved, and the fault tolerance of the PF scheduling method is improved.
Fig. 3 is a block diagram of a second configuration of a processing apparatus for scheduling according to an embodiment of the present invention, and as shown in fig. 3, the adjusting module 26 includes:
an increasing unit 32, configured to increase the priority of the PF scheduling when the number of successful responses is greater than a first adjustment threshold;
a decreasing unit 34, configured to decrease the priority of the PF scheduling when the number of failed replies is greater than a second adjustment threshold value.
In this embodiment, the increasing unit 32 is further configured to increase a first value of the scheduling weight parameter of the PF by a first adjustment step length to obtain a second value of the scheduling weight parameter of the PF; calculating by using the second value of the scheduling weight parameter of the PF to obtain a third value for indicating the scheduling priority of the PF, wherein the value of the scheduling priority of the PF is in direct proportion to the value of the scheduling weight parameter of the PF;
the reducing unit 34 is further configured to reduce the first value of the scheduling weight parameter of the PF by a second adjustment step size to obtain a fourth value of the scheduling weight parameter of the PF; and calculating by using a fourth value of the scheduling weight parameter of the PF to obtain a fifth value used for indicating the scheduling priority of the PF, wherein the value of the scheduling priority of the PF is in direct proportion to the value of the scheduling weight parameter of the PF.
In this embodiment, the number of successful responses includes: the number of times of ACK response; the number of failed responses includes at least one of: the number of non-acknowledgement NACKs and the number of discontinuous transmission DTX times.
It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in a plurality of processors.
The following detailed description is given with reference to preferred embodiments of the present invention.
The preferred embodiment of the invention aims to improve the fault-tolerant capability of the PF scheduling method and eliminate a large amount of system bandwidth waste under the extremely severe condition of a channel on the premise of keeping proportional fairness.
An automatic fault-tolerant PF scheduling method based on Hybrid automatic repeat reQuest (HARQ) feedback described in the preferred embodiment of the present invention is as follows:
increasing HARQ feedback weight factor WharqThe new PF calculation formula is as follows:
Figure BDA0000889500510000061
Wharqthe relevant parameters of (2):
Wharqin the range of [1, v ]];
Setting the length of the statistical time window as follows: StatTimeWin;
Wharqthe adjustment step length is respectively as follows: Δ Wup、ΔWdown
Counting the times of Harq feedback results in a time window and respectively recording the times as Nack、Nnack、Ndtx
WharqThe adjustment thresholds are respectively: threshold of a hydrocarbonup、threshholddown
If within the statistical time window, Nnack+Ndtx〉threshholddownThen W isharqAdjust Δ W downwarddown
If within the statistical time window, Nack〉threshholdupThen W isharqAdjusting Δ W upwardup
Fig. 4 is a schematic diagram of an improved PF scheduling data flow according to a preferred embodiment of the present invention, and as shown in fig. 4, the method implementation of the preferred embodiment of the present invention involves four modules: a HARQ feedback result counting module (equivalent to the obtaining module 22 of the above embodiment), a HARQ multiplicative factor adjustment decision module (equivalent to the counting module 24 of the above embodiment), a PF priority calculation module (equivalent to part of the functions of the adjustment module 26 of the above embodiment), a sorting and new transmission scheduling module (equivalent to part of the functions of the adjustment module 26 of the above embodiment),
the HARQ feedback result statistic module is used for receiving Harq feedback sent by the physical layer and carrying out statistics on N according to the feedback resultack、Nnack、Ndtx(ii) a And output to the HARQ multiplicative factor adjustment decision module.
HARQ multiplicative factor adjustment decision module: fig. 5 is a flow chart of HARQ multiplicative factor adjustment decision making according to the preferred embodiment of the present invention, as shown in fig. 5, the steps are as follows:
s501, initializing default Wharq=v;
S502, judging whether the time window is more than or equal to StatTimeWin; if true, then determine if W needs to be adjustedharq
S503, if Nnack+Ndtx〉threshholddownThen W isharq=MAX(1,Wharq-ΔWdown) Removing Harq feedback statistics and scheduling times statistics; go to S502; otherwise, go to S504;
S504,Nack〉threshholdupthen W isharq=MIN(v,Wharq+ΔWup) Removing Harq feedback statistics and scheduling times statistics; go to S502; otherwise, go to S505;
S505,Wharqeliminating Harq feedback statistics and scheduling times statistics without adjustment; go to S502.
The PF priority calculating module is used for calculating the PF priority of the UE by using the latest HARQ multiplicative factor.
And the sequencing and newly-transmitted scheduling module is used for adding one to the scheduling times after the UE scheduling is finished.
Through a large number of external field tests, the preferred embodiment of the invention basically avoids the unlimited occupation of channel range UE to the bandwidth, effectively improves the system throughput and improves the integral KPI index of the cells with more edge users to a certain extent.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. 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 (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The embodiment of the invention also provides a storage medium. Optionally, in this embodiment, the storage medium may be configured to store program codes for executing the steps of the method of the above embodiment:
optionally, the storage medium is further configured to store program code for performing the method steps of the above embodiments:
optionally, in this embodiment, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Optionally, in this embodiment, the processor executes the steps of the above-described embodiment method according to the program code stored in the storage medium.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation manners, and this embodiment is not described herein again.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across 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 in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, 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 above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (6)

1. A processing method for scheduling, comprising:
obtaining a feedback result of hybrid automatic repeat request (HARQ) of user equipment;
acquiring preset parameters of the feedback result within a preset time period, wherein the preset parameters comprise successful response times and failed response times;
adjusting the priority of proportional fair PF scheduling of the user equipment according to the preset parameters;
wherein the adjusting the priority of proportional fair PF scheduling of the UE according to the preset parameter includes: under the condition that the successful response times are larger than a first adjustment threshold value, the priority of PF scheduling is increased; when the number of times of the failure response is larger than a second adjustment threshold value, the priority of the PF scheduling is reduced;
wherein the increasing the priority of the PF scheduling comprises: increasing a first value of a scheduling weight parameter of the PF by a first adjustment step length to obtain a second value of the scheduling weight parameter of the PF; calculating to obtain a third value for indicating the scheduling priority of the PF by using the second value of the scheduling weight parameter of the PF, wherein the value of the scheduling priority of the PF is in direct proportion to the value of the scheduling weight parameter of the PF; the reducing the priority of the PF scheduling comprises: reducing the first value of the scheduling weight parameter of the PF by a second adjustment step length to obtain a fourth value of the scheduling weight parameter of the PF; and calculating by using a fourth value of the scheduling weight parameter of the PF to obtain a fifth value used for indicating the scheduling priority of the PF, wherein the value of the scheduling priority of the PF is in direct proportion to the value of the scheduling weight parameter of the PF.
2. The method of claim 1,
increasing a first adjustment step size for a first value of the scheduling weight parameter of the PF to obtain a second value of the scheduling weight parameter of the PF includes: MIN (v, W + Δ W)up) Wherein W is the scheduling weight parameter of the PF, v is the initial value of the scheduling weight parameter of the PF, Δ WupFor the first adjustment step length, MIN is the minimum value operation; accordingly, the method can be used for solving the problems that,
reducing the first value of the scheduling weight parameter of the PF by a second adjustment step length, and obtaining a fourth value of the scheduling weight parameter of the PF includes: W-MAX (1, W- Δ W)down) Wherein, Δ WdownFor the second adjustment step, MAX is the maximum operation.
3. The method of claim 1, wherein adjusting the priority of Proportional Fair (PF) scheduling for the UE according to the preset parameter comprises:
adjusting the priority of proportional fair PF scheduling for the user equipment according to the following formula:
FFPF=(R×W)/H
wherein, FFPFAnd the value is the indicated value of the priority, R is the instantaneous rate under the same resource condition, H is the historical throughput of successful transmission, and W is the scheduling weight parameter of the PF.
4. The method according to any of claims 1 to 3, wherein the number of successful responses comprises: the number of times of ACK response; the number of failed responses includes at least one of: the number of non-acknowledgement NACKs and the number of discontinuous transmission DTX times.
5. A scheduled processing apparatus, comprising:
an obtaining module, configured to obtain a feedback result of a hybrid automatic repeat request HARQ of a user equipment;
the statistical module is used for acquiring preset parameters of the feedback result in a preset time period, wherein the preset parameters comprise successful response times and failed response times;
the adjusting module is used for adjusting the priority of proportional fair PF (proportional fair) scheduling of the user equipment according to the preset parameters;
the adjusting module comprises an increasing unit, which is used for increasing the priority of the PF scheduling under the condition that the successful response times are larger than a first adjusting threshold value; a reduction unit, configured to reduce the priority of the PF scheduling when the number of failed replies is greater than a second adjustment threshold value
The system comprises an increase unit, a scheduling weight parameter acquiring unit and a control unit, wherein the increase unit is further used for increasing a first value of the scheduling weight parameter of the PF by a first adjustment step length to obtain a second value of the scheduling weight parameter of the PF; calculating to obtain a third value for indicating the scheduling priority of the PF by using the second value of the scheduling weight parameter of the PF, wherein the value of the scheduling priority of the PF is in direct proportion to the value of the scheduling weight parameter of the PF; the reduction unit is further configured to reduce the first value of the scheduling weight parameter of the PF by a second adjustment step size to obtain a fourth value of the scheduling weight parameter of the PF; and calculating by using a fourth value of the scheduling weight parameter of the PF to obtain a fifth value used for indicating the scheduling priority of the PF, wherein the value of the scheduling priority of the PF is in direct proportion to the value of the scheduling weight parameter of the PF.
6. The apparatus of claim 5, wherein the number of successful replies comprises: the number of times of ACK response; the number of failed responses includes at least one of: the number of non-acknowledgement NACKs and the number of discontinuous transmission DTX times.
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