CN114006874A - Resource block scheduling method, device, storage medium and base station - Google Patents

Resource block scheduling method, device, storage medium and base station Download PDF

Info

Publication number
CN114006874A
CN114006874A CN202010675880.8A CN202010675880A CN114006874A CN 114006874 A CN114006874 A CN 114006874A CN 202010675880 A CN202010675880 A CN 202010675880A CN 114006874 A CN114006874 A CN 114006874A
Authority
CN
China
Prior art keywords
background noise
noise information
information
cell
resource block
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202010675880.8A
Other languages
Chinese (zh)
Other versions
CN114006874B (en
Inventor
赵辉
郭尧
白洋
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Mobile Communications Group Co Ltd
China Mobile Group Liaoning Co Ltd
Original Assignee
China Mobile Communications Group Co Ltd
China Mobile Group Liaoning Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Mobile Communications Group Co Ltd, China Mobile Group Liaoning Co Ltd filed Critical China Mobile Communications Group Co Ltd
Priority to CN202010675880.8A priority Critical patent/CN114006874B/en
Publication of CN114006874A publication Critical patent/CN114006874A/en
Application granted granted Critical
Publication of CN114006874B publication Critical patent/CN114006874B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00—Traffic control in data switching networks
    • H04L47/70—Admission control; Resource allocation
    • H04L47/72—Admission control; Resource allocation using reservation actions during connection setup
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/10—Architectures or entities
    • H04L65/1016—IP multimedia subsystem [IMS]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/80—Responding to QoS

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Multimedia (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The embodiment of the invention provides a resource block scheduling method, a resource block scheduling device, a storage medium and a base station. Obtaining a plurality of initial background noise information of at least one cell; judging whether each initial background noise information is abnormal or not; if the initial background noise information is judged to be abnormal, correcting at least one abnormal background noise information to generate at least one position background noise information of each cell; if the initial background noise information is judged to be normal, determining the initial background noise information as position background noise information; generating a plurality of resource block positions of each cell according to the plurality of position background noise information of each cell; the plurality of resource blocks are scheduled according to the plurality of resource block locations. In the embodiment of the invention, the abnormal background noise information is corrected to generate the position background noise information and the position of the resource block according to the position background noise information, the plurality of resource blocks are scheduled according to the positions of the plurality of resource blocks, and the resource block corresponding to the position of the resource block is reserved, so that the packet loss rate is reduced, and the voice quality is effectively improved.

Description

Resource block scheduling method, device, storage medium and base station
[ technical field ] A method for producing a semiconductor device
The present invention relates to the field of communications technologies, and in particular, to a resource block scheduling method, apparatus, storage medium, and base station.
[ background of the invention ]
A Voice over Long Term Evolution (Voice over Long Term Evolution, VoLTE for short) is a Long Term Evolution (Long Term Evolution, LTE for short) Voice solution based on an IP Multimedia system (IP Multimedia Subsystem, IMS for short) network. VoLTE is an end-to-end voice scheme based on IMS services and built on an LTE network under the condition of Internet Protocol (IP). VoLTE is rapidly approved by users by virtue of its advantages of higher call quality and shorter access delay, and as the user population of VoLTE is continuously growing, the requirement for voice perception is gradually increasing. There are many factors that affect the voice quality of VoLTE, including voice coding, delay, jitter, packet loss, etc., where the packet loss is very sensitive to voice traffic. However, the packet loss rate in the related art is high, so that the voice quality is poor.
[ summary of the invention ]
In view of this, embodiments of the present invention provide a resource block scheduling method, apparatus, storage medium, and base station, so as to reduce a packet loss rate, thereby improving voice quality.
In one aspect, an embodiment of the present invention provides a resource block scheduling method, including:
acquiring a plurality of initial background noise information of at least one cell;
judging whether each piece of initial background noise information is abnormal or not;
if the initial background noise information is judged to be abnormal, correcting at least one abnormal background noise information to generate at least one position background noise information of each cell;
if the initial background noise information is judged to be normal, determining the initial background noise information as position background noise information;
generating a plurality of resource block positions of each cell according to the plurality of position background noise information of each cell;
and scheduling the plurality of resource blocks according to the plurality of resource block positions.
Optionally, before the determining whether each piece of initial noise floor information is abnormal, the method includes:
calculating an average value of the plurality of initial background noise information to generate average background noise information;
and generating standard deviation background noise information according to the average background noise information and the plurality of initial background noise information.
Optionally, the determining whether each piece of initial background noise information is abnormal includes:
and judging whether the difference value between the initial background noise information and the generated average background noise information is greater than or equal to standard deviation background noise information of a set multiple.
Optionally, the modifying at least one piece of abnormal background noise information, and generating at least one piece of position background noise information of each cell includes:
and replacing each abnormal background noise information with the average background noise information, and taking the replaced average background noise information as position background noise information to generate each position background noise information of each cell.
Optionally, the generating the plurality of resource block positions of each cell according to the plurality of position noise floor information of each cell includes:
performing weighted average calculation on every adjacent set number of the position bottom noise information in the plurality of position bottom noise information of each cell to generate a plurality of average position bottom noise information of each cell;
taking the minimum value of the average position background noise information of each cell to generate the minimum position background noise information of each cell;
and taking the position corresponding to the initial position value in the minimum position noise floor information of each cell, and taking the position corresponding to each initial position value as the position of each resource block.
Optionally, the performing weighted average calculation on each adjacent set number of the position background noise information in the plurality of position background noise information of each cell, and generating the plurality of average position background noise information of each cell includes:
according toFormula (II)
Figure BDA0002584030000000031
Calculating a plurality of pieces of average position noise floor information of each cell, wherein S is the plurality of pieces of average position noise floor information of each cell, p is an adjacent set number, q is an initial position value, WiIs a weight coefficient, XiIs the ith position noise information, i is the number of the position noise information, WiGreater than 0 and less than 1, p, q and WiSatisfy the formula
Figure BDA0002584030000000032
Optionally, the scheduling the plurality of resource blocks according to the resource block positions includes:
and reserving the resource block corresponding to the position of the resource block.
In another aspect, an embodiment of the present invention provides a resource block scheduling apparatus, including:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring a plurality of initial background noise information of at least one cell;
the judging module is used for judging whether each piece of initial background noise information is abnormal or not;
the first generating module is used for correcting at least one piece of abnormal background noise information to generate at least one piece of position background noise information of each cell if the judging module judges that the initial background noise information is abnormal;
the determining module is used for determining the initial background noise information as position background noise information if the judging module judges that the initial background noise information is normal;
a second generating module, configured to generate multiple resource block locations of each cell according to the multiple location noise floor information of each cell;
and the scheduling module is used for scheduling the plurality of resource blocks according to the plurality of resource block positions.
In another aspect, an embodiment of the present invention provides a storage medium, including: the storage medium comprises a stored program, and when the program runs, the device where the storage medium is located is controlled to execute the resource block scheduling method.
In another aspect, an embodiment of the present invention provides a base station, including a memory and a processor, where the memory is used to store information including program instructions, and the processor is used to control execution of the program instructions, where the program instructions are loaded and executed by the processor to implement the steps of the resource block scheduling method.
In the technical scheme of the resource block scheduling method provided by the embodiment of the invention, at least one position bottom noise information of each cell is generated by correcting at least one abnormal bottom noise information, a plurality of resource block positions of each cell are generated according to the plurality of position bottom noise information of each cell, the plurality of resource blocks are scheduled according to the plurality of resource block positions, the resource blocks corresponding to the resource block positions are reserved, and the resource blocks with good channel quality are reserved for voice users, so that the voice users can preferentially use the reserved resource blocks, thereby reducing the packet loss rate and effectively improving the voice quality.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
Fig. 1 is a flowchart of a resource block scheduling method according to an embodiment of the present invention;
fig. 2 is a flowchart of another resource block scheduling method according to an embodiment of the present invention;
FIG. 3 is a flowchart of FIG. 2 illustrating the generation of multiple resource block locations for each cell based on multiple location noise floor information for each cell;
fig. 4 is a schematic structural diagram of a resource block scheduling apparatus according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a base station according to an embodiment of the present invention.
[ detailed description ] embodiments
For better understanding of the technical solutions of the present invention, the following detailed descriptions of the embodiments of the present invention are provided with reference to the accompanying drawings.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be understood that the term "and/or" as used herein is merely one type of associative relationship that describes an associated object, meaning that three types of relationships may exist, e.g., A and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
In the related art, by adjusting an Enhanced Single Radio Voice Call Continuity (eSRVCC) handover parameter terminal B2 threshold, a handover to a Global System for Mobile Communications (GSM) network can be performed as soon as possible when the LTE Radio environment is degraded, so as to reduce the packet loss rate. However, adjusting the eSRVCC switching threshold increases the inter-system switching, which has an impact on the user's perception of speech. Meanwhile, if the configured switching parameters are not appropriate, the problem of abnormal switching can occur, packet loss is deteriorated, and the voice quality is worse.
In another related technology, by adjusting related function parameters, such as a Packet Data Convergence Protocol (PDCP) Packet loss timer, Hybrid Automatic Repeat Request (HARQ) retransmission times, a Radio Link Control Protocol (RLC) reordering timer, etc., the times and time for transmitting packets can be increased, and an opposite end can receive the packets, thereby reducing Packet loss. However, there is a limitation in adjusting the parameters related to each layer, and when the PDCP packet loss timer increases, packet loss may be reduced, but service delay may increase, and the requirement of a QoS Class Identifier (QCI for short) cannot be met, thereby affecting voice quality. When the maximum number of HARQ transmissions increases, the higher the reliability of the radio link, the less packet is lost, but the overhead of radio resources also increases. When the RLC reordering timer is increased, the time for a User Equipment (UE) to wait for not receiving a Protocol Data Unit (PDU) may be increased to reduce packet loss, but delay may also be increased. Therefore, there is a limitation in adjusting a series of parameters in the related art to reduce packet loss, so that the voice quality cannot be effectively improved.
In order to solve the technical problems in the related art, embodiments of the present invention provide a resource block scheduling method. Fig. 1 is a flowchart of a resource block scheduling method according to an embodiment of the present invention, and as shown in fig. 1, the method includes:
step 101, obtaining a plurality of initial background noise information of at least one cell.
In the embodiment of the invention, each step is executed by the base station.
In this step, a plurality of initial background noise information of at least one cell in a set time period is collected, for example, 100 initial background noise information of each cell in N cells is collected, and as an alternative, the initial background noise information is written as:
Figure BDA0002584030000000061
wherein, RB01……RB991For 100 initial noise floor information of 1 st cell, for example: RB01Is the 1 st initial noise floor information of the 1 st cell, RB991Which is the 100 th initial noise floor information of the 1 st cell. RB0N……RB99NIs 100 initial of the Nth cellNoise floor information, for example: RB0N1 st initial noise floor information for the Nth cell, RB99NWhich is the 100 th initial noise floor information of the nth cell.
Step 102, judging whether each piece of initial background noise information is abnormal, if so, executing step 103; if not, go to step 104.
Specifically, whether the difference between the initial background noise information and the generated average background noise information is greater than or equal to the standard deviation background noise information of the set multiple is judged, and if the difference between the initial background noise information and the generated average background noise information is greater than or equal to the standard deviation background noise information of the set multiple, the initial background noise information is abnormal; and if the difference value between the initial background noise information and the generated average background noise information is smaller than the standard deviation background noise information of the set multiple, indicating that the initial background noise information is normal.
In the embodiment of the invention, whether each initial background noise information is abnormal or not is judged according to a 3 sigma detection method.
The 3 sigma detection method is a detection method for judging abnormal data according to the Lauda criterion, namely, in general, at least 65.26% of data is in a range of 1 standard deviation, at least 95.44% of data is in a range of 2 standard deviations, and at least 99.74% of data is in a range of 3 standard deviations.
Alternatively, in order to reduce the calculation error, the probability of 99.74% is the largest, so that the case where the data of the probability of 99.74% is within the range of 3 standard deviations can be selected, where the setting multiple includes 3. When the set multiple comprises 3, judging whether the difference value between the initial background noise information and the average background noise information is greater than or equal to 3 times of standard deviation background noise information, and if the difference value between the initial background noise information and the average background noise information is greater than or equal to 3 times of standard deviation background noise information, indicating that the initial background noise information is abnormal; and if the difference value between the initial background noise information and the average background noise information is judged to be less than 3 times of the standard deviation background noise information, the initial background noise information is normal.
Step 103, correcting at least one abnormal background noise information to generate at least one position background noise information of each cell, and executing step 105.
Specifically, each piece of abnormal background noise information is replaced by average background noise information, and the replaced average background noise information is used as position background noise information to generate each position background noise information of each cell. At this time, the position noise floor information is the average noise floor information.
In the embodiment of the invention, because the positions of a plurality of resource blocks cannot be reduced, the abnormal background noise information cannot be directly deleted, and the average background noise information is adopted to replace the abnormal background noise information so as to ensure the integrity of the positions of the resource blocks.
And step 104, determining the initial background noise information as position background noise information.
And 105, generating a plurality of resource block positions of each cell according to the plurality of position noise information of each cell.
And 106, scheduling the plurality of resource blocks according to the positions of the plurality of resource blocks.
Specifically, resource blocks corresponding to the resource block positions are reserved. The VoLTE voice user preferentially uses the resource block corresponding to the reserved resource block position, and when the resource block corresponding to the reserved resource block position is exhausted, the resource block corresponding to the non-reserved part of the resource block position is used, so that packet loss is reduced, and the VoLTE voice quality is improved.
In the technical scheme of the resource block scheduling method provided by the embodiment of the invention, at least one position bottom noise information of each cell is generated by correcting at least one abnormal bottom noise information, a plurality of resource block positions of each cell are generated according to the plurality of position bottom noise information of each cell, the plurality of resource blocks are scheduled according to the plurality of resource block positions, the resource blocks corresponding to the resource block positions are reserved, and the resource blocks with good channel quality are reserved for voice users, so that the voice users can preferentially use the reserved resource blocks, thereby reducing the packet loss rate and effectively improving the voice quality.
The embodiment of the invention provides another resource block scheduling method. Fig. 2 is a flowchart of another resource block scheduling method provided in the embodiment of the present invention, and as shown in fig. 2, the method includes:
step 201, obtaining a plurality of initial background noise information of at least one cell.
In the embodiment of the invention, each step is executed by the base station.
In this step, a plurality of initial background noise information of at least one cell in a set time period is collected. For example, 100 pieces of initial background noise information of each cell in N cells are collected, and as an alternative, the initial background noise information is written as:
Figure BDA0002584030000000081
wherein, RB01……RB991For 100 initial noise floor information of 1 st cell, for example: RB01Is the 1 st initial noise floor information of the 1 st cell, RB991Which is the 100 th initial noise floor information of the 1 st cell. RB0N……RB99NFor 100 initial noise floor information of the nth cell, for example: RB0N1 st initial noise floor information for the Nth cell, RB99NWhich is the 100 th initial noise floor information of the nth cell.
Step 202, calculating an average value of the plurality of initial background noise information, and generating average background noise information.
In this step, the formula e (x) ═ RB01+RB11+……+RB98N+RB99N) the/100N calculates a plurality of initial background noise information to generate average background noise information, wherein RB01、RB11、……RB98N、RB99N100N pieces of initial background noise information, 100N the number of pieces of initial background noise information, and e (x) the average background noise information.
And step 203, generating standard deviation base noise information according to the average base noise information and the plurality of initial base noise information.
In this step, sqrt (((RB 0) is expressed by the formula d (x) ═ sqrt (((RB 0)1-E(X))^2+(RB11-E(X))^2+……(RB99N-E (X)) 2)/100N) calculating the average background noise information and the plurality of initial background noise information to generate the standard deviation background noise information, wherein RB01、RB11……RB99N100N initial background noise information, E (X) average background noise information, D (X) standard deviation background noise information, and 100N initial background noise informationThe amount of base noise information.
Step 204, judging whether each piece of initial background noise information is abnormal, if so, executing step 205; if not, go to step 206.
Specifically, whether the difference between the initial background noise information and the generated average background noise information is greater than or equal to the standard deviation background noise information of the set multiple is judged, and if the difference between the initial background noise information and the generated average background noise information is greater than or equal to the standard deviation background noise information of the set multiple, the initial background noise information is abnormal; and if the difference value between the initial background noise information and the generated average background noise information is smaller than the standard deviation background noise information of the set multiple, indicating that the initial background noise information is normal.
In the embodiment of the invention, whether each initial background noise information is abnormal or not is judged according to a 3 sigma detection method.
In the embodiment of the present invention, the 3 σ detection method is a detection method for determining abnormal data according to the ralda criterion, and the 3 σ detection method specifically includes: by the formula
Figure BDA0002584030000000091
Calculating initial background noise information, average background noise information and standard deviation background noise information to generate the probability that the data is in the standard deviation range of a set multiple, wherein X is the initial background noise information, E (X) is the average background noise information, D (X) is the standard deviation background noise information, epsilon is a set parameter, epsilon is a parameter>0. It can be calculated by the above formula that data with a probability of at least 65.26% is within 1 standard deviation range, data with a probability of at least 95.44% is within 2 standard deviation range, and data with a probability of at least 99.74% is within 3 standard deviation range.
As an alternative, in order to reduce the calculation error, the probability of 99.74% is the largest in the above 3 σ detection method, and therefore, a case where the data of the probability of 99.74% is within a range of 3 standard deviations can be selected, where the set multiple includes 3. When the set multiple comprises 3, judging whether the difference value between the initial background noise information and the average background noise information is greater than or equal to 3 times of standard deviation background noise information, and if the difference value between the initial background noise information and the average background noise information is greater than or equal to 3 times of standard deviation background noise information, indicating that the initial background noise information is abnormal; and if the difference value between the initial background noise information and the average background noise information is judged to be less than 3 times of the standard deviation background noise information, the initial background noise information is normal.
Step 205, correcting at least one abnormal background noise information to generate at least one position background noise information of each cell, and executing step 207.
Specifically, each abnormal background noise information is replaced by the average background noise information, and the replaced average background noise information is used as the position background noise information to generate each position background noise information of each cell. At this time, the position noise floor information is the average noise floor information.
In the embodiment of the invention, because the positions of a plurality of resource blocks cannot be reduced, the abnormal background noise information cannot be directly deleted, and the average background noise information is adopted to replace the abnormal background noise information so as to ensure the integrity of the positions of the resource blocks.
And step 206, determining the initial background noise information as position background noise information.
And step 207, generating a plurality of resource block positions of each cell according to the plurality of position noise floor information of each cell.
In the embodiment of the invention, the position background noise information comprises non-stationary data.
In this embodiment of the present invention, fig. 3 is a flowchart of generating a plurality of resource block positions of each cell according to a plurality of position noise information of each cell in fig. 2, and as shown in fig. 3, step 207 specifically includes:
step 2071, performing weighted average calculation on each set number of adjacent position noise information in the multiple position noise information of each cell to generate multiple average position noise information of each cell.
In this step, weighted average calculation is performed on every adjacent set number of position background noise information in the plurality of position background noise information of each cell through a moving average algorithm, so as to generate a plurality of average position background noise information of each cell.
In particular, according to the formula
Figure BDA0002584030000000101
Calculating a plurality of average position background noise information of each cell, wherein S is the average position background noise information of each cell, p is the adjacent set number, q is the initial position value, WiIs a weight coefficient, XiIs the ith position noise floor information, i is the number of the position noise floor information, WiGreater than 0 and less than 1, p, q and WiSatisfy the formula
Figure BDA0002584030000000102
In the embodiment of the invention, the ith position background noise information XiNon-stationary data is included which is considered stationary within the appropriate cell interval to reduce random fluctuations in the randomness component.
For example, if WiWhen m is equal to 6, weighted average calculation is performed on every 6 adjacent position noise information in the 100 position noise information of each cell, so as to generate a plurality of pieces of average position noise information, and the plurality of pieces of average position noise information can be written in a matrix form:
Figure BDA0002584030000000103
for example, RB01、RB11、RB21、RB31、RB41And RB516 position noise floor information for 1 st cell neighbor, RB11、RB21、RB31、RB41、RB51And RB616 position noise floor information, RB0, also for 1 st cell neighbor1……RB991Is 100 position noise floor information of 1 st cell. If weighted average calculation is performed on every adjacent 6 position background noise information in 100 position background noise information of each cell, 95 average position background noise information can be obtained, for example: the 95 average position noise floor information is written as X10 … … X194.
RB0N、RB1N、RB2N、RB3N、RB4NAnd RB5NIs the Nth cellRegion-adjacent 6 position noise floor information, RB1N、RB2N、RB3N、RB4N、RB5NAnd RB6N6 position noise floor information, RB0, also for the Nth cell neighborN……RB99NIs 100 position noise information of the nth cell. If weighted average calculation is performed on every adjacent 6 position background noise information in 100 position background noise information of each cell, 95 average position background noise information can be obtained, for example: the 95 average position noise floor information is written as XN0 … … XN 94.
Step 2072, take the minimum value of the multiple average position noise floor information of each cell, and generate the minimum position noise floor information of each cell.
For example, X10……X194A plurality of average position noise floor information for 1 st cell. If X10Is the minimum value in the multiple average position noise floor information, then X10Is the minimum position noise information of the 1 st cell. XN0……XN94And the average position background noise information of the Nth cell. If XN0Is the minimum value in the multiple average position background noise information, then XN0And the minimum position noise information of the Nth cell.
Step 2073, take the position corresponding to the initial position value in the minimum position noise floor information of each cell, and take the position corresponding to each initial position value as each resource block position.
For example: if X10Is minimum position noise floor information, then X10The position corresponding to the initial position value in (1) is RB01The resource block position includes RB0 for each resource block position, the position corresponding to each initial position value being the position corresponding to each resource block position1The position of (a). If XN0Is minimum position noise information, then XN0The position corresponding to the initial position value in (1) is RB0NThe position corresponding to each initial position value is taken as each resource block position, and the resource block position comprises RB0NThe position of (a).
And step 208, scheduling the plurality of resource blocks according to the plurality of resource block positions.
Specifically, a set number ofAnd resource blocks corresponding to the resource block positions. For example: if the resource blocks corresponding to the 6 resource block positions of the first cell are reserved, reserving RB01Position of (3), RB11Position of (3), RB21Position of (3), RB31Position of (3), RB41Position of (3) and RB51Resource block corresponding to the position of (2).
In the embodiment of the invention, the VoLTE voice user preferentially uses the resource block corresponding to the reserved resource block position, and when the resource block corresponding to the reserved resource block position is exhausted, the resource block corresponding to the non-reserved part of the resource block position is used, so that the packet loss is reduced, and the VoLTE voice quality is improved.
In the technical scheme of the resource block scheduling method provided by the embodiment of the invention, at least one position bottom noise information of each cell is generated by correcting at least one abnormal bottom noise information, a plurality of resource block positions of each cell are generated according to the plurality of position bottom noise information of each cell, the plurality of resource blocks are scheduled according to the plurality of resource block positions, the resource blocks corresponding to the resource block positions are reserved, and the resource blocks with good channel quality are reserved for voice users, so that the voice users can preferentially use the reserved resource blocks, thereby reducing the packet loss rate and effectively improving the voice quality.
In the technical scheme provided by the embodiment, non-stable data can be quickly, simply and accurately calculated in a recursion mode in real time, so that the channel environment of a cell is determined, a VoLTE voice resource block is reserved according to the actual environment of the current network, packet loss is effectively reduced, perception is improved, random interference is eliminated by adopting a statistical method, errors caused by some accidental factors are avoided, the position of the channel is further accurately positioned, the packet loss rate is effectively and accurately optimized, and no negative influence is caused on other indexes.
In the technical scheme provided by the embodiment, the 3 sigma detection method is adopted to detect the abnormal value and replace the abnormal background noise information, so that accidental factors can be effectively eliminated, and the result is more stable.
In the technical scheme provided by this embodiment, a moving average algorithm is introduced, and the position of a segment of resource block with better channel quality can be accurately found in a plurality of resource blocks through theoretical calculation instead of experience.
In the technical scheme provided by this embodiment, the initial resource block position and the reserved number of resource blocks can be determined according to the network actual conditions of high interference, large traffic and even various scenes, and then the functions are issued, so that the packet loss rate is optimized in a targeted manner, and the voice quality of the VoLTE is improved practically.
The embodiment of the invention provides a resource block scheduling device. Fig. 4 is a schematic structural diagram of a resource block scheduling apparatus according to an embodiment of the present invention, and as shown in fig. 4, the apparatus includes: the device comprises an acquisition module 11, a judgment module 12, a first generation module 13, a determination module 14, a second generation module 15 and a scheduling module 16.
The obtaining module 11 is configured to obtain multiple pieces of initial background noise information of at least one cell.
The judging module 12 is configured to judge whether each piece of initial background noise information is abnormal.
The first generating module 13 is configured to, if the determining module 12 determines that the initial background noise information is abnormal, correct at least one piece of abnormal background noise information, and generate at least one piece of position background noise information of each cell.
The determining module 14 is configured to determine the initial background noise information as the position background noise information if the determining module 12 determines that the initial background noise information is normal.
The second generating module 15 is configured to generate a plurality of resource block locations of each cell according to the plurality of location noise floor information of each cell.
The scheduling module 16 is configured to schedule the plurality of resource blocks according to the plurality of resource block locations.
In the embodiment of the present invention, the apparatus further includes: a third generation module 17 and a fourth generation module 18.
The third generating module 17 is configured to calculate an average value of the plurality of initial background noise information, and generate average background noise information.
The fourth generating module 18 is configured to generate standard deviation noise floor information according to the average noise floor information and the plurality of initial noise floor information.
In this embodiment of the present invention, the determining module 12 is specifically configured to determine whether a difference between the initial background noise information and the generated average background noise information is greater than or equal to standard deviation background noise information of a set multiple.
In this embodiment of the present invention, the first generating module 13 is specifically configured to replace each piece of abnormal background noise information with average background noise information, and use the replaced average background noise information as position background noise information to generate each piece of position background noise information of each cell.
In the embodiment of the present invention, the second generating module 15 includes: a first generation submodule 151, a second generation submodule 152, and a third generation submodule 153.
The first generation sub-module 151 is configured to perform weighted average calculation on every adjacent set number of pieces of position background noise information in the plurality of pieces of position background noise information of each cell, and generate a plurality of pieces of average position background noise information of each cell.
The second generating submodule 152 is configured to take a minimum value of the multiple pieces of average position background noise information of each cell, and generate minimum position background noise information of each cell;
the third generating submodule 153 is configured to take a position corresponding to the initial position value in the minimum position noise floor information of each cell, and use the position corresponding to each initial position value as each resource block position.
In the embodiment of the present invention, the first generation submodule 151 is specifically configured to generate the first generation submodule according to a formula
Figure BDA0002584030000000141
Calculating a plurality of average position background noise information of each cell, wherein S is the average position background noise information of each cell, p is the adjacent set number, q is the initial position value, WiIs a weight coefficient, XiIs the ith position noise floor information, i is the number of the position noise floor information, WiGreater than 0 and less than 1, p, q and WiSatisfy the formula
Figure BDA0002584030000000142
In the embodiment of the present invention, the scheduling module 16 is specifically configured to reserve the resource block corresponding to the resource block position.
In the technical scheme of the resource block scheduling method provided by the embodiment of the invention, at least one position bottom noise information of each cell is generated by correcting at least one abnormal bottom noise information, a plurality of resource block positions of each cell are generated according to the plurality of position bottom noise information of each cell, the plurality of resource blocks are scheduled according to the plurality of resource block positions, the resource blocks corresponding to the resource block positions are reserved, and the resource blocks with good channel quality are reserved for voice users, so that the voice users can preferentially use the reserved resource blocks, thereby reducing the packet loss rate and effectively improving the voice quality.
The resource block scheduling apparatus provided in the embodiment of the present invention may be used to implement the resource block scheduling method in fig. 1 and fig. 2, and for specific description, reference may be made to the embodiment of the resource block scheduling method, and a description is not repeated here.
An embodiment of the present invention provides a storage medium, where the storage medium includes a stored program, where, when the program runs, a device where the storage medium is located is controlled to execute each step of the above embodiment of the resource block scheduling method, and for specific description, reference may be made to the above embodiment of the resource block scheduling method.
An embodiment of the present invention provides a base station, including a memory and a processor, where the memory is configured to store information including program instructions, and the processor is configured to control execution of the program instructions, and the program instructions are loaded and executed by the processor to implement each step of the above embodiment of the resource block scheduling method.
Fig. 5 is a schematic diagram of a base station according to an embodiment of the present invention. As shown in fig. 5, the base station 20 of this embodiment includes: the processor 21, the memory 22, and the computer program 23 stored in the memory 22 and capable of running on the processor 21, where the computer program 23 is executed by the processor 21 to implement the resource block scheduling method applied in the embodiment, and in order to avoid repetition, the details are not repeated here. Alternatively, the computer program is executed by the processor 21 to implement the functions of each model/unit applied to the resource block scheduling apparatus in the embodiments, which are not repeated herein to avoid repetition.
The base station 20 includes, but is not limited to, a processor 21, a memory 22. Those skilled in the art will appreciate that fig. 5 is merely an example of a base station 20 and does not constitute a limitation of the base station 20 and may include more or less components than shown, or combine certain components, or different components, e.g., the base station may also include input output devices, network access devices, buses, etc.
The Processor 21 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 22 may be an internal storage unit of the base station 20, such as a hard disk or a memory of the base station 20. The memory 22 may also be an external storage device of the base station 20, such as a plug-in hard disk provided on the base station 20, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the memory 22 may also include both internal and external memory units of the base station 20. The memory 22 is used for storing computer programs and other programs and data required by the base station. The memory 22 may also be used to temporarily store data that has been output or is to be output.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions in actual implementation, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a Processor (Processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (10)

1. A resource block scheduling method, comprising:
acquiring a plurality of initial background noise information of at least one cell;
judging whether each piece of initial background noise information is abnormal or not;
if the initial background noise information is judged to be abnormal, correcting at least one abnormal background noise information to generate at least one position background noise information of each cell;
if the initial background noise information is judged to be normal, determining the initial background noise information as position background noise information;
generating a plurality of resource block positions of each cell according to the plurality of position background noise information of each cell;
and scheduling the plurality of resource blocks according to the plurality of resource block positions.
2. The method of claim 1, wherein said determining whether each of said initial noise floor information is abnormal comprises:
calculating an average value of the plurality of initial background noise information to generate average background noise information;
and generating standard deviation background noise information according to the average background noise information and the plurality of initial background noise information.
3. The method of claim 1, wherein the determining whether each of the initial noise floor information is abnormal comprises:
and judging whether the difference value between the initial background noise information and the generated average background noise information is greater than or equal to standard deviation background noise information of a set multiple.
4. The method of claim 1, wherein the modifying at least one of the abnormal noise floor information to generate at least one location noise floor information for each cell comprises:
and replacing each abnormal background noise information with the average background noise information, and taking the replaced average background noise information as position background noise information to generate each position background noise information of each cell.
5. The method of claim 1, wherein the generating the plurality of resource block locations for each cell based on the plurality of location noise floor information for each cell comprises:
performing weighted average calculation on every adjacent set number of the position bottom noise information in the plurality of position bottom noise information of each cell to generate a plurality of average position bottom noise information of each cell;
taking the minimum value of the average position background noise information of each cell to generate the minimum position background noise information of each cell;
and taking the position corresponding to the initial position value in the minimum position noise floor information of each cell, and taking the position corresponding to each initial position value as the position of each resource block.
6. The method of claim 5, wherein the performing a weighted average calculation on each neighboring set number of the plurality of position noise floor information of each cell to generate a plurality of average position noise floor information of each cell comprises:
according to the formula
Figure FDA0002584029990000021
Calculating a plurality of pieces of average position noise floor information of each cell, wherein S is the plurality of pieces of average position noise floor information of each cell, p is an adjacent set number, q is an initial position value, WiIs a weight coefficient, XiIs the ith position noise information, i is the number of the position noise information, WiGreater than 0 and less than 1, p, q and WiSatisfy the formula
Figure FDA0002584029990000022
7. The method of claim 1, wherein the scheduling a plurality of resource blocks according to the resource block locations comprises:
and reserving the resource block corresponding to the position of the resource block.
8. A resource block scheduling apparatus, comprising:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring a plurality of initial background noise information of at least one cell;
the judging module is used for judging whether each piece of initial background noise information is abnormal or not;
the first generating module is used for correcting at least one piece of abnormal background noise information to generate at least one piece of position background noise information of each cell if the judging module judges that the initial background noise information is abnormal;
the determining module is used for determining the initial background noise information as position background noise information if the judging module judges that the initial background noise information is normal;
a second generating module, configured to generate multiple resource block locations of each cell according to the multiple location noise floor information of each cell;
and the scheduling module is used for scheduling the plurality of resource blocks according to the plurality of resource block positions.
9. A storage medium, comprising: the storage medium includes a stored program, and when the program runs, the apparatus on which the storage medium is located is controlled to execute the resource block scheduling method according to any one of claims 1 to 7.
10. A base station comprising a memory for storing information including program instructions and a processor for controlling the execution of the program instructions, characterized in that the program instructions are loaded and executed by the processor to implement the steps of the resource block scheduling method of any of claims 1 to 7.
CN202010675880.8A 2020-07-14 2020-07-14 Resource block scheduling method, device, storage medium and base station Active CN114006874B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010675880.8A CN114006874B (en) 2020-07-14 2020-07-14 Resource block scheduling method, device, storage medium and base station

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010675880.8A CN114006874B (en) 2020-07-14 2020-07-14 Resource block scheduling method, device, storage medium and base station

Publications (2)

Publication Number Publication Date
CN114006874A true CN114006874A (en) 2022-02-01
CN114006874B CN114006874B (en) 2023-11-10

Family

ID=79920100

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010675880.8A Active CN114006874B (en) 2020-07-14 2020-07-14 Resource block scheduling method, device, storage medium and base station

Country Status (1)

Country Link
CN (1) CN114006874B (en)

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001029826A1 (en) * 1999-10-21 2001-04-26 Sony Electronics Inc. Method for implementing a noise suppressor in a speech recognition system
WO2003001173A1 (en) * 2001-06-22 2003-01-03 Rti Tech Pte Ltd A noise-stripping device
CN101430880A (en) * 2007-11-07 2009-05-13 华为技术有限公司 Encoding/decoding method and apparatus for ambient noise
CN101601212A (en) * 2007-02-05 2009-12-09 Lm爱立信电话有限公司 The adjustment of IUB load measure
US20120065966A1 (en) * 2009-10-15 2012-03-15 Huawei Technologies Co., Ltd. Voice Activity Detection Method and Apparatus, and Electronic Device
EP2793229A1 (en) * 2013-04-17 2014-10-22 Honeywell International Inc. Noise cancellation for voice activation
CN105722111A (en) * 2014-12-05 2016-06-29 中国移动通信集团公司 Method and device for interference detection
CN106021181A (en) * 2016-05-17 2016-10-12 中国电子科技集团公司第四十研究所 Adjacent point correlativity mean noise reduction method implemented for FFT data
CN107567054A (en) * 2016-07-01 2018-01-09 中兴通讯股份有限公司 A kind of method, apparatus for determining uplink interference adjacent area and base station
CN108430068A (en) * 2018-01-24 2018-08-21 深圳市科虹通信有限公司 A kind of signal bottom in LTE time domains and frequency domain is made an uproar the method and its system of measurement
CN109982353A (en) * 2017-12-28 2019-07-05 中国移动通信集团吉林有限公司 Cell optimization method, device and equipment based on VoLTE network
CN110907977A (en) * 2018-09-17 2020-03-24 中兴通讯股份有限公司 Information processing method and device and computer storage medium

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001029826A1 (en) * 1999-10-21 2001-04-26 Sony Electronics Inc. Method for implementing a noise suppressor in a speech recognition system
WO2003001173A1 (en) * 2001-06-22 2003-01-03 Rti Tech Pte Ltd A noise-stripping device
CN101601212A (en) * 2007-02-05 2009-12-09 Lm爱立信电话有限公司 The adjustment of IUB load measure
CN101430880A (en) * 2007-11-07 2009-05-13 华为技术有限公司 Encoding/decoding method and apparatus for ambient noise
US20120065966A1 (en) * 2009-10-15 2012-03-15 Huawei Technologies Co., Ltd. Voice Activity Detection Method and Apparatus, and Electronic Device
EP2793229A1 (en) * 2013-04-17 2014-10-22 Honeywell International Inc. Noise cancellation for voice activation
CN105722111A (en) * 2014-12-05 2016-06-29 中国移动通信集团公司 Method and device for interference detection
CN106021181A (en) * 2016-05-17 2016-10-12 中国电子科技集团公司第四十研究所 Adjacent point correlativity mean noise reduction method implemented for FFT data
CN107567054A (en) * 2016-07-01 2018-01-09 中兴通讯股份有限公司 A kind of method, apparatus for determining uplink interference adjacent area and base station
CN109982353A (en) * 2017-12-28 2019-07-05 中国移动通信集团吉林有限公司 Cell optimization method, device and equipment based on VoLTE network
CN108430068A (en) * 2018-01-24 2018-08-21 深圳市科虹通信有限公司 A kind of signal bottom in LTE time domains and frequency domain is made an uproar the method and its system of measurement
CN110907977A (en) * 2018-09-17 2020-03-24 中兴通讯股份有限公司 Information processing method and device and computer storage medium

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
VENKATRAMAN ATTI等: "Improved error resilience for volte and VoIP with 3GPP EVS channel aware coding", 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) *
刘占军;彭霞;何宏智;周诗妍;: "C-RAN架构中适用于干扰消除的资源分配机制", 电讯技术, no. 02 *
钟检荣等: "WCDMA基站小区底噪高问题的处理", 北京通信学会2011信息通信网技术业务发展研讨会论文集 *

Also Published As

Publication number Publication date
CN114006874B (en) 2023-11-10

Similar Documents

Publication Publication Date Title
RU2510598C2 (en) Method and device in wireless communication system
US8315166B2 (en) Method and apparatus for admission control in a radio communications system
CN112888069B (en) 5G network slicing system serving city center environment
KR20050115253A (en) Quality of service differentiation in wireless networks
WO2018058558A1 (en) Resource selecting method and terminal device
CN110972150B (en) Network capacity expansion method and device, electronic equipment and computer storage medium
CN110972287B (en) Method, device, terminal and medium for determining HARQ process ID
AU2019459712A1 (en) Wireless communication method and device
CN111885618B (en) Network performance optimization method and device
WO2017118053A1 (en) Channel occupancy determination method and apparatus
CN112291796B (en) Cell network capacity expansion method, device, equipment and storage medium
CN113347668B (en) Load balancing method and device, electronic equipment and storage medium
CN114006874B (en) Resource block scheduling method, device, storage medium and base station
EP2930617A1 (en) Resource management method and device
CN111510953B (en) Data processing method, terminal and storage medium
KR101605687B1 (en) Method and apparatus for estimating delay about buffer data of terminal in mobile communication system
US20230100981A1 (en) Method for determining a quality of service parameter, computer-readable storage medium, computer program, and communication device
CN112153612B (en) Method, device and base station for processing Master Information Block (MIB) message of LTE system message
KR101105693B1 (en) Method of deciding dynamic sleep section for terminal in wireless access communication system
CN114650556B (en) Method, device and equipment for detecting service bearing capacity of wireless network
CN112187380A (en) Serving cell switching method and device
CN115334525B (en) Network utilization rate calculation method and device
CN113225765B (en) Dual-connection main path switching method and device
KR20180045705A (en) Apparatus and Method for Packet Data Scheduling in Network Device of WLAN Systems
CN113507726B (en) Data transmission method and device in separated bearing mode and terminal equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant