CN114006874B - Resource block scheduling method, device, storage medium and base station - Google Patents
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H—ELECTRICITY
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- H04L65/80—Responding to QoS
Abstract
The embodiment of the invention provides a resource block scheduling method, a device, a storage medium and a base station. Acquiring a plurality of initial noise floor information of at least one cell; judging whether each piece of initial noise floor information is abnormal or not; if the initial noise floor information is judged to be abnormal, correcting at least one abnormal noise floor information to generate at least one position noise floor information of each cell; if the initial noise floor information is judged to be normal, determining the initial noise floor information as position noise floor 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. In the embodiment of the invention, the abnormal noise floor information is corrected to generate the position noise floor information and generate the resource block position according to the position noise floor information, the plurality of resource blocks are scheduled according to the plurality of resource block positions, and the resource blocks corresponding to the resource block positions are reserved, so that the packet loss rate is reduced, and the voice quality is effectively improved.
Description
[ field of technology ]
The present invention relates to the field of communications technologies, and in particular, to a method and apparatus for scheduling resource blocks, a storage medium, and a base station.
[ background Art ]
Long term Evolution voice bearer (Voice over Long Term-Evolution, voLTE) is a long term Evolution (Long Term Evolution, LTE) voice solution based on IP multimedia system (IP Multimedia Subsystem, IMS) network. VoLTE is an end-to-end voice scheme that is built on an LTE network, under the conditions of the full internet protocol (Internet Protocol, IP for short), and based on IMS services. VoLTE is rapidly accepted by users by virtue of its higher call quality and shorter access delay, and with the growing population of VoLTE users, the demand for speech perception is also increasing. There are many factors affecting VoLTE voice quality, including speech coding, delay, jitter, packet loss, etc., where 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.
[ invention ]
In view of this, the embodiments of the present invention provide a method, an apparatus, a storage medium, and a base station for scheduling resource blocks, so as to reduce the packet loss rate, thereby improving the voice quality.
In one aspect, an embodiment of the present invention provides a method for scheduling resource blocks, including:
acquiring a plurality of initial noise floor information of at least one cell;
judging whether each piece of initial noise floor information is abnormal or not;
if the initial noise floor information is judged to be abnormal, correcting at least one piece of abnormal noise floor information to generate at least one piece of position noise floor information of each cell;
if the initial noise floor information is judged to be normal, determining the initial noise floor information as position noise floor information;
generating a plurality of resource block positions of each cell according to the plurality of position noise floor information of each cell;
and scheduling the plurality of resource blocks according to the plurality of resource block positions.
Optionally, the determining whether each piece of initial noise floor information is abnormal includes:
calculating the average value of a 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 initial background noise information.
Optionally, the determining whether each piece of initial noise floor information is abnormal includes:
and judging whether the difference value between the initial background noise information and the generated average background noise information is larger than or equal to standard deviation background noise information of a set multiple.
Optionally, the correcting the abnormal noise floor information to generate at least one position noise floor information of each cell includes:
and replacing each piece of 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 piece of 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 the position background noise information of each adjacent set number in the position background noise information of each cell to generate a plurality of average position background noise information of each cell;
taking the minimum value in 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 calculating a weighted average of the position noise floor information of each adjacent set number in the plurality of position noise floor information of each cell, and generating the plurality of average position noise floor information of each cell includes:
according to the formulaCalculating the multiple of each cellThe average position background noise information, wherein S is a plurality of average position background noise information of each cell, p is adjacent set quantity, q is initial position value, W i As weight coefficient, X i I is the number of the position background noise information, W i More than 0 and less than 1, p, q and W i Satisfy the formula
Optionally, the scheduling the plurality of resource blocks according to the resource block positions includes:
and reserving the resource block corresponding to the resource block position.
In another aspect, an embodiment of the present invention provides a resource block scheduling apparatus, including:
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 noise floor information is abnormal or not;
the first generation module is used for correcting at least one piece of abnormal background noise information if the initial background noise information is judged to be abnormal by the judgment module, and generating at least one piece of position background noise information of each cell;
the determining module is used for determining the initial noise information as position noise information if the judging module judges that the initial noise information is normal;
the second generation module is used for generating a plurality of resource block positions of each cell according to the plurality of position background noise 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, wherein the device where the storage medium is located is controlled to execute the resource block scheduling method when the program runs.
In another aspect, 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, where the program instructions when loaded and executed by the processor implement steps of the resource block scheduling method described above.
In the technical scheme of the resource block scheduling method provided by the embodiment of the invention, at least one piece of abnormal noise information is corrected to generate at least one piece of position noise information of each cell, a plurality of resource block positions of each cell are generated according to the plurality of position 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, the packet loss rate is reduced, and the voice quality is effectively improved.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
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 flow chart of FIG. 2 for generating a plurality of resource block locations for each cell based on a plurality of location background information for each cell;
fig. 4 is a schematic structural diagram of a resource block scheduling device 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 ] of the invention
For a better understanding of the technical solution of the present invention, the following detailed description of the embodiments of the present invention refers to the accompanying drawings.
It should be understood that the described embodiments are merely some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the 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 this application 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 way of describing an association of associated objects, meaning that there may be three relationships, e.g., a and/or b, which may represent: the first and second cases exist separately, and the first and second cases exist separately. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
In the related art, by adjusting the enhanced single antenna voice call continuity (Enhanced Single Radio Voice Call Continuity, abbreviated as eSRVCC) handover parameter terminal B2 threshold, the mobile communication system can be switched to the global system for mobile communications (Global System for Mobile Communications, abbreviated as GSM) network as soon as the LTE wireless environment is worse, so as to reduce the packet loss rate. However, after the eRVCC switching threshold is adjusted, switching between systems is increased, and the increase of switching has influence on voice perception of a user. Meanwhile, if the configured switching parameters are unsuitable to cause switching abnormality, the problem of switching abnormality occurs, so that packet loss is deteriorated, and the voice quality is poorer.
In another related art, by adjusting related functional parameters, such as packet data convergence protocol (Packet Data Convergence Protocol, PDCP) packet loss timer, hybrid automatic repeat request (Hybrid Automatic Repeat Request, HARQ) retransmission times, radio link control layer protocol (Radio Link Control, RLC) reordering timer, etc., the number of times and time of packet transmission can be increased, so as to ensure that the peer can receive the packet, thereby reducing packet loss. However, there is a limitation in adjusting parameters related to each layer, when the PDCP packet loss timer increases, packet loss can be reduced, but service delay increases, and the QoS class identifier (QoS Class Identifier, abbreviated as QCI) requirement cannot be satisfied, thereby affecting voice quality. When the maximum number of HARQ transmissions increases, the higher the radio link reliability, the packet loss can be reduced, but the overhead of radio resources increases. When the RLC reordering timer increases, the time for the UE to wait for the PDU (Protocol Data Unit) not to be received may be increased to reduce packet loss, but at the same time, the delay may also increase. Therefore, there is a limitation in adjusting a series of parameters in the related art to reduce packet loss, so that voice quality cannot be effectively improved.
In order to solve the technical problems in the related art, the embodiment of the invention provides a resource block scheduling method. Fig. 1 is a flowchart of a resource block scheduling method according to an embodiment of the present invention, as shown in fig. 1, where the method includes:
step 101, acquiring a plurality of pieces of initial noise floor 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 pieces of initial background noise information of at least one cell in a set period of time are 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:
wherein RB0 1 ……RB99 1 For 100 initial background information of the 1 st cell, for example: RB0 1 1 st initial background noise information for 1 st cell, RB99 1 The 100 th initial noise floor information of the 1 st cell. RB0 N ……RB99 N For 100 initial background noise information of the nth cell, for example: RB0 N RB99 for 1 st initial background noise information of nth cell N The 100 th initial noise floor information of the nth cell.
Step 102, judging whether each piece of initial noise floor information is abnormal, if so, executing step 103; if not, go to step 104.
Specifically, judging whether the difference value between the initial background noise information and the generated average background noise information is larger than or equal to standard deviation background noise information of a set multiple, if so, indicating that the initial background noise information is abnormal; 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, the initial background noise information is indicated to be normal.
In the embodiment of the invention, whether the initial noise floor information is abnormal or not is judged according to the 3 sigma detection method.
The 3 sigma detection method is a detection method for judging abnormal data according to the Laida criterion, namely that in general all data, at least 65.26% of the data are in a range of 1 standard deviation, at least 95.44% of the data are in a range of 2 standard deviations, and at least 99.74% of the data are in a range of 3 standard deviations.
As an alternative, to reduce the calculation error, the probability of 99.74% is the largest, so a case can be selected where the data of the probability of 99.74% is within the range of 3 standard deviations, and the set multiple includes 3. When the set multiple comprises 3, judging whether the difference value of the initial background noise information and the average background noise information is larger than or equal to 3 times of standard deviation background noise information, and if the difference value of the initial background noise information and the average background noise information is larger than or equal to 3 times of standard deviation background noise information, indicating that the initial background noise information is abnormal; if the difference value between the initial background noise information and the average background noise information is less than 3 times of standard deviation background noise information, the initial background noise information is indicated to be normal.
Step 103, correcting the at least one piece of abnormal noise floor information, generating at least one piece of position noise floor 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 piece of position background noise information of each cell. At this time, the position background noise information is the average background noise information.
In the embodiment of the invention, the positions of a plurality of resource blocks cannot be reduced, so that the abnormal background noise information cannot be deleted directly, and the average background noise information is adopted to replace the abnormal background noise information so as to ensure the position integrity of the resource blocks.
Step 104, determining the initial noise floor information as position noise floor information.
Step 105, generating a plurality of resource block positions of each cell according to the plurality of position noise floor information of each cell.
And 106, scheduling the plurality of resource blocks according to the plurality of resource block positions.
Specifically, a resource block corresponding to the resource block position is reserved. The VoLTE voice user preferentially uses the resource blocks corresponding to the reserved resource block positions, and when the resource blocks corresponding to the reserved resource block positions are exhausted, the resource blocks corresponding to the resource block positions of the unreserved part are 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 piece of abnormal noise information is corrected to generate at least one piece of position noise information of each cell, a plurality of resource block positions of each cell are generated according to the plurality of position 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, the packet loss rate is reduced, and the voice quality is effectively improved.
The embodiment of the invention provides another resource block scheduling method. Fig. 2 is a flowchart of another resource block scheduling method according to an embodiment of the present invention, as shown in fig. 2, where the method includes:
step 201, a plurality of pieces of initial noise floor information of at least one cell are obtained.
In the embodiment of the invention, each step is executed by the base station.
In this stepAnd collecting a plurality of pieces of initial noise floor information of at least one cell in a set time period. For example, 100 pieces of initial background noise information are collected for each of N cells, and as an alternative, the initial background noise information is written:
wherein RB0 1 ……RB99 1 For 100 initial background information of the 1 st cell, for example: RB0 1 1 st initial background noise information for 1 st cell, RB99 1 The 100 th initial noise floor information of the 1 st cell. RB0 N ……RB99 N For 100 initial background noise information of the nth cell, for example: RB0 N RB99 for 1 st initial background noise information of nth cell N The 100 th initial noise floor information of the nth cell.
Step 202, calculating an average value of a plurality of initial noise floor information, and generating average noise floor information.
In this step, the formula E (X) = (RB 0) 1 +RB1 1 +……+RB98 N +RB99 N ) Calculating a plurality of initial noise floor information by 100N to generate average noise floor information, wherein RB0 1 、RB1 1 、……RB98 N 、RB99 N For 100N pieces of initial background noise information, 100N is the number of pieces of initial background noise information, and E (X) is average background noise information.
Step 203, generating standard deviation background noise information according to the average background noise information and the plurality of initial background noise information.
In this step, by the formula D (X) =sqrt (((RB 0) 1 -E(X))^2+(RB1 1 -E(X))^2+……(RB99 N -E (X))2)/100N) calculates the average background noise information and a plurality of initial background noise information, generating standard deviation background noise information, wherein RB0 1 、RB1 1 ……RB99 N For 100N pieces of initial background noise information, E (X) is average background noise information, D (X) is standard deviation background noise information, and 100N is the number of pieces of initial background noise information.
Step 204, judging whether each piece of initial noise floor information is abnormal, if so, executing step 205; if not, go to step 206.
Specifically, judging whether the difference value between the initial background noise information and the generated average background noise information is larger than or equal to standard deviation background noise information of a set multiple, if so, indicating that the initial background noise information is abnormal; 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, the initial background noise information is indicated to be normal.
In the embodiment of the invention, whether the initial noise floor information is abnormal or not is judged according to the 3 sigma detection method.
In the embodiment of the invention, the 3 sigma detection method is a detection method for judging abnormal data according to the Laida criterion, and the 3 sigma detection method specifically comprises the following steps: by the formulaCalculating initial background noise information, average background noise information and standard deviation background noise information to generate probability of data in standard deviation range of 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 set parameter, epsilon is the standard deviation background noise information>0. As can be seen from the calculation of the above formula, data having a probability of at least 65.26% are within 1 standard deviation, data having a probability of at least 95.44% are within 2 standard deviation, and data having a probability of at least 99.74% are within 3 standard deviation.
As an alternative, in order to reduce the calculation error, 99.74% of the 3 σ detection method has the largest probability, so that a case where 99.74% of the probability data is within 3 standard deviation ranges may be selected, where the set multiple includes 3. When the set multiple comprises 3, judging whether the difference value of the initial background noise information and the average background noise information is larger than or equal to 3 times of standard deviation background noise information, and if the difference value of the initial background noise information and the average background noise information is larger than or equal to 3 times of standard deviation background noise information, indicating that the initial background noise information is abnormal; if the difference value between the initial background noise information and the average background noise information is less than 3 times of standard deviation background noise information, the initial background noise information is indicated to be normal.
Step 205, correcting the at least one piece of abnormal noise floor information, generating at least one piece of position noise floor information of each cell, and executing step 207.
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 piece of position background noise information of each cell. At this time, the position background noise information is the average background noise information.
In the embodiment of the invention, the positions of a plurality of resource blocks cannot be reduced, so that the abnormal background noise information cannot be deleted directly, and the average background noise information is adopted to replace the abnormal background noise information so as to ensure the position integrity of the resource blocks.
Step 206, determining the initial noise floor information as the position noise floor information.
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 an 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 floor information of each cell in fig. 2, and as shown in fig. 3, step 207 specifically includes:
step 2071, performing weighted average calculation on the position background noise information of each adjacent set number in the position background noise information of each cell, and generating a plurality of average position background noise information of each cell.
In the step, weighted average calculation is performed on the position background noise information of each adjacent set number in the 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.
Specifically, according to the formulaCalculating a plurality of average position background noise information of each cell, wherein S is the plurality of cellsAverage position noise floor information, p is adjacent set quantity, q is initial position value, W i As weight coefficient, X i I is the number of the position background noise information, W i More than 0 and less than 1, p, q and W i Satisfy the formula
In the embodiment of the invention, the ith position background noise information X i Including non-stationary data that is considered stationary within the appropriate cell to reduce random fluctuations in the randomness component.
For example, if W i When m=1/6, the weighted average calculation is performed on every adjacent 6 pieces of position background noise information in 100 pieces of position background noise information of each cell, so that a plurality of pieces of average position background noise information can be generated, and the plurality of pieces of average position background noise information can be written in a matrix form:
for example, RB0 1 、RB1 1 、RB2 1 、RB3 1 、RB4 1 And RB5 1 RB1 is the 1 st cell neighboring 6-position background noise information 1 、RB2 1 、RB3 1 、RB4 1 、RB5 1 And RB6 1 Also for the 1 st cell neighboring 6 position background noise information, RB0 1 ……RB99 1 Is the 100 position background noise information of the 1 st cell. If weighted average calculation is performed on every adjacent 6 pieces of position background noise information in 100 pieces of position background noise information of each cell, 95 pieces of average position background noise information can be obtained, for example: 95 average position background noise information is written as X10 … … X194.
RB0 N 、RB1 N 、RB2 N 、RB3 N 、RB4 N And RB5 N RB1 for the bottom noise information of 6 adjacent positions of the N-th cell N 、RB2 N 、RB3 N 、RB4 N 、RB5 N And RB6 N Also the nth cell phaseNeighboring 6-position background noise information, RB0 N ……RB99 N And (5) the noise floor information is 100 positions of the N cell. If weighted average calculation is performed on every adjacent 6 pieces of position background noise information in 100 pieces of position background noise information of each cell, 95 pieces of average position background noise information can be obtained, for example: 95 average position floor noise information is written as XN0 … … XN94.
Step 2072, the minimum value of the plurality of average position background noise information of each cell is taken, and the minimum position background noise information of each cell is generated.
For example, X1 0 ……X1 94 Noise floor information for a plurality of average positions of the 1 st cell. If X1 0 For the minimum value in the plurality of average position background noise information, X1 0 Is the minimum position noise floor information of the 1 st cell. XN 0 ……XN 94 Noise floor information for a plurality of average positions of an nth cell. If XN 0 For the minimum value in the plurality of average position background noise information, XN 0 And (5) the minimum position background noise information of the nth cell.
Step 2073, 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.
For example: if X1 0 Is the minimum position background noise information, X1 0 The position corresponding to the initial position value in (B) is RB0 1 The resource block position includes RB0 when the position corresponding to each initial position value is used as each resource block position 1 Is a position of (c). If XN 0 Is the minimum position background noise information, XN 0 The position corresponding to the initial position value in (B) is RB0 N The position corresponding to each initial position value is taken as each resource block position, and then the resource block position comprises RB0 N Is a position of (c).
Step 208, scheduling the plurality of resource blocks according to the plurality of resource block positions.
Specifically, a set number of resource blocks corresponding to the resource block positions are reserved. For example: if the resource blocks corresponding to the 6 resource block positions of the first cell are reserved, reserving RB0 1 Location of (2), RB1 1 Location of (2) RB2 1 Location of (2), RB3 1 Location of (2), RB4 1 Location and RB5 of (2) 1 A resource block corresponding to the location of (a).
In the embodiment of the invention, the VoLTE voice user preferentially uses the resource blocks corresponding to the reserved resource block positions, and when the resource blocks corresponding to the reserved resource block positions are exhausted, the resource blocks corresponding to the resource block positions of the unreserved part are 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 piece of abnormal noise information is corrected to generate at least one piece of position noise information of each cell, a plurality of resource block positions of each cell are generated according to the plurality of position 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, the packet loss rate is reduced, and the voice quality is effectively improved.
In the technical scheme provided by the embodiment, the nonstationary data can be rapidly, simply and accurately calculated in real time in a recursive manner, so that the channel environment of a cell is determined, the VoLTE voice resource block is reserved according to the actual environment of the current network, the packet loss is effectively reduced, the perception is improved, random interference is eliminated by adopting a statistical method, errors caused by some accidental factors are avoided, the channel position is further accurately positioned, the effective and accurate optimization of the packet loss rate is realized, 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 noise floor information, so that accidental factors can be effectively eliminated, and the result is more stable.
In the technical scheme provided by the embodiment, a sliding average algorithm is introduced, experience is not relied on any more, and a section of resource block position with better channel quality can be accurately found in a plurality of resource blocks through theoretical calculation.
In the technical scheme provided by the embodiment, the initial resource block position and the reserved number of the resource blocks can be determined according to the actual network conditions of high interference, large telephone traffic and even various scenes, and then the function is issued, so that the packet loss rate is optimized in a targeted manner, and the VoLTE voice quality 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, as shown in fig. 4, where the apparatus includes: the system 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 acquiring module 11 is configured to acquire a plurality of initial noise floor information of at least one cell.
The judging module 12 is configured to judge whether each piece of initial noise floor information is abnormal.
The first generating module 13 is configured to, if the determining module 12 determines that the initial noise floor information is abnormal, correct at least one abnormal noise floor information, and generate at least one position noise floor information of each cell.
The determining module 14 is configured to determine the initial noise floor information as the position noise floor information if the judging module 12 judges that the initial noise floor information is normal.
The second generating module 15 is configured to generate a plurality of resource block positions of each cell according to the plurality of position noise floor information of each cell.
The scheduling module 16 is configured to schedule a plurality of resource blocks according to a plurality of resource block locations.
In the embodiment of the invention, the device further comprises: 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 noise floor information, and generate average noise floor 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 the embodiment of the present invention, the judging module 12 is specifically configured to judge 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 a set multiple.
In the embodiment of the present invention, the first generating module 13 is specifically configured to replace each piece of abnormal noise floor information with an average noise floor information, and use the replaced average noise floor information as the location noise floor information, so as to generate each piece of location noise floor information of each cell.
In the embodiment of the present invention, the second generating module 15 includes: the first generation sub-module 151, the second generation sub-module 152, and the third generation sub-module 153.
The first generation sub-module 151 is configured to perform weighted average calculation on the position noise floor information of each neighboring set number in the plurality of position noise floor information of each cell, and generate a plurality of average position noise floor information of each cell.
The second generating sub-module 152 is configured to take a minimum value of the plurality of average position background noise information of each cell, and generate minimum position background noise information of each cell;
the third generating sub-module 153 is configured to take a position corresponding to an initial position value in the minimum position noise floor information of each cell, and take the position corresponding to each initial position value as a position of each resource block.
In the embodiment of the present invention, the first generating sub-module 151 is specifically configured to perform a method according to a formulaCalculating a plurality of average position background noise information of each cell, wherein S is the plurality of average position background noise information of each cell, p is the adjacent set quantity, q is the initial position value, W i As weight coefficient, X i I is the number of the position background noise information, W i More than 0 and less than 1, p, q and W i Satisfy the formula->
In the embodiment of the present invention, the scheduling module 16 is specifically configured to reserve a 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 piece of abnormal noise information is corrected to generate at least one piece of position noise information of each cell, a plurality of resource block positions of each cell are generated according to the plurality of position 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, the packet loss rate is reduced, and the voice quality is effectively improved.
The resource block scheduling device provided by the embodiment of the present invention may be used to implement the resource block scheduling method in fig. 1 and 2, and the detailed description may refer to the embodiment of the resource block scheduling method, and the description is not repeated here.
The embodiment of the invention provides a storage medium, which comprises a stored program, wherein the program is used for controlling equipment where the storage medium is located to execute the steps of the embodiment of the resource block scheduling method, and the specific description can be seen from the embodiment of the resource block scheduling method.
The embodiment of the invention provides a base station, which comprises a memory and a processor, wherein the memory is used for storing information comprising program instructions, the processor is used for controlling the execution of the program instructions, and when the program instructions are loaded and executed by the processor, the steps of the embodiment of the resource block scheduling method are realized.
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 when executed by the processor 21 implements the resource block scheduling method in the embodiment, and is not described herein in detail to avoid repetition. Alternatively, the computer program when executed by the processor 21 implements the functions of each model/unit applied to the resource block scheduling apparatus in the embodiment, and is not described herein in detail for avoiding repetition.
The base station 20 includes, but is not limited to, a processor 21, a memory 22. It will be appreciated by those skilled in the art that fig. 5 is merely an example of base station 20 and is not intended to limit base station 20, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., a base station may also include input and output devices, network access devices, buses, etc.
The processor 21 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, 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, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the base station 20. Further, the memory 22 may also include both internal storage units of the base station 20 and external storage devices. The memory 22 is used to store 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 will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in the present invention, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the elements is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown 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 may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above 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, etc.) or a Processor (Processor) to perform part of the steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather to enable any modification, equivalent replacement, improvement or the like to be made within the spirit and principles of the invention.
Claims (6)
1. A method for scheduling resource blocks, comprising:
acquiring a plurality of initial noise floor information of at least one cell;
judging whether each piece of initial noise floor information is abnormal or not;
if the initial noise floor information is judged to be abnormal, correcting at least one abnormal noise floor information to generate at least one position noise floor information of each cell;
if the initial noise floor information is judged to be normal, determining the initial noise floor information as position noise floor information;
generating a plurality of resource block positions of each cell according to the plurality of position noise floor information of each cell;
scheduling a plurality of resource blocks according to the plurality of resource block positions;
the determining whether each piece of initial noise floor information is abnormal comprises the following steps:
calculating the average value of a plurality of initial background noise information to generate average background noise information;
generating standard deviation background noise information according to the average background noise information and the initial background noise information;
the judging whether each piece of initial noise floor information is abnormal comprises the following steps:
judging whether the difference value between the initial background noise information and the generated average background noise information is larger than or equal to standard deviation background noise information of a set multiple;
the correcting the abnormal noise floor information to generate at least one position noise floor information of each cell comprises the following steps:
replacing each piece of abnormal background noise information with average background noise information, and taking the replaced average background noise information as position background noise information to generate each piece of position background noise information of each cell;
the generating the plurality of resource block positions of each cell according to the plurality of position noise floor information of each cell comprises:
performing weighted average calculation on the position background noise information of each adjacent set number in the position background noise information of each cell to generate a plurality of average position background noise information of each cell;
taking the minimum value in 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.
2. The method of claim 1, wherein the performing a weighted average calculation on each neighboring set number of the plurality of location base noise information for each cell, generating a plurality of average location base noise information for each cell comprises:
according to the formulaCalculating a plurality of pieces of average position background noise information of each cell, wherein S is the plurality of pieces of average position background noise information of each cell, p is the adjacent set quantity, q is the initial position value, and W i As weight coefficient, X i I is the number of the position background noise information, W i More than 0 and less than 1, p, q and W i Satisfy the formula->
3. 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 resource block position.
4. A resource block scheduling apparatus, comprising:
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 noise floor information is abnormal or not;
the first generation module is used for correcting at least one piece of abnormal background noise information if the initial background noise information is judged to be abnormal by the judgment module, and generating at least one piece of position background noise information of each cell;
the determining module is used for determining the initial noise information as position noise information if the judging module judges that the initial noise information is normal;
the second generation module is used for generating a plurality of resource block positions of each cell according to the plurality of position background noise information of each cell;
the scheduling module is used for scheduling the plurality of resource blocks according to the plurality of resource block positions;
the apparatus further comprises: the third generation module and the fourth generation module;
the third generation module is used for calculating the average value of the plurality of initial background noise information and generating average background noise information;
the fourth generation module is used for generating standard deviation background noise information according to the average background noise information and the initial background noise information;
the judging module is specifically used for judging whether the difference value between the initial background noise information and the generated average background noise information is larger than or equal to standard deviation background noise information of a set multiple;
the first generation module is specifically configured to replace each piece of abnormal noise floor information with average noise floor information, and use the replaced average noise floor information as position noise floor information to generate each piece of position noise floor information of each cell;
the second generation module includes: the device comprises a first generation sub-module, a second generation sub-module and a third generation sub-module;
the first generation sub-module is used for carrying out weighted average calculation on the position background noise information of each adjacent set number in the position background noise information of each cell to generate a plurality of average position background noise information of each cell;
the second generating sub-module is configured to take a minimum value of the average position background noise information of each cell, and generate minimum position background noise information of each cell;
the third generating sub-module is configured to take a position corresponding to an initial position value in the minimum position noise floor information of each cell, and take the position corresponding to each initial position value as a position of each resource block.
5. A storage medium, comprising: the storage medium includes a stored program, wherein the program, when executed, controls a device in which the storage medium is located to perform the resource block scheduling method of any one of claims 1 to 3.
6. A base station comprising a memory for storing information including program instructions and a processor for controlling execution of the program instructions, characterized in that the program instructions, when loaded and executed by the processor, implement the steps of the resource block scheduling method of any of claims 1 to 3.
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