CN102711257B - A kind of resource allocation methods and equipment - Google Patents

A kind of resource allocation methods and equipment Download PDF

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Publication number
CN102711257B
CN102711257B CN201210194940.XA CN201210194940A CN102711257B CN 102711257 B CN102711257 B CN 102711257B CN 201210194940 A CN201210194940 A CN 201210194940A CN 102711257 B CN102711257 B CN 102711257B
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frequency resource
interference noise
noise value
resource segment
candidate
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CN102711257A (en
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彭炳光
林伟勇
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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Priority to PCT/CN2013/072427 priority patent/WO2013185496A1/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/54Allocation or scheduling criteria for wireless resources based on quality criteria
    • H04W72/542Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality

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  • Computer Networks & Wireless Communication (AREA)
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  • Mobile Radio Communication Systems (AREA)

Abstract

The embodiment of the invention discloses a kind of resource allocation methods and equipment, relate to the communications field, only need the interference noise value obtained in each frequency cells just can realize, effectively improve the throughput of dispatching efficiency and community.Overcome prior art and must obtain the defect that the signal of user in each frequency cells could realize.The method that the embodiment of the present invention provides comprises: obtain the interference noise value of user equipment (UE) in each frequency cells of up channel or down channel; Obtain the dispatching requirement of UE; Minimum frequency resource section is disturbed in dispatching requirement search according to the interference noise value in each frequency cells described and described UE, and described frequency resource section comprises at least one frequency cells; Frequency resource section minimum for the described interference searched is distributed to described UE.

Description

Resource allocation method and equipment
Technical Field
The present invention relates to the field of communications, and in particular, to a resource allocation method and device.
Background
In a wireless mobile communication system, for example, a mobile user in a Long Term Evolution (LTE) system is in different positions of a cell, and channel environments are different, which is shown in a frequency domain, and the mobile user in different positions has different frequency domain channel responses. Therefore, in the same frequency band, the channel quality of some mobile users is good, and the channel quality of some mobile users is poor, so it is necessary to schedule the user allocation resource block according to the specific environment of the channel to improve the throughput of the cell.
The scheduling method adopted in the prior art selects the optimal resource meeting the data volume requirement of the user for scheduling according to the Signal to Interference plus Noise Ratio (SINR for short) of the user on each frequency unit.
However, the above scheduling method has at least the following problems: for example, in an LTE system, signals of a user on each frequency unit (or resource block) are mainly implemented by measuring sounding reference signals sent by a terminal, but the sounding reference signals bring some negative effects, for example, the sounding reference signals may fixedly occupy the last symbol of a sounding subframe, and the symbol cannot transmit data, thereby increasing a data coding rate, affecting demodulation performance, and the like. Therefore, there is a need to cancel the sounding reference signal, once cancelled, the signal of each resource block in the user bandwidth cannot be obtained, and the corresponding SINR cannot be calculated, so that effective scheduling cannot be performed.
Disclosure of Invention
Embodiments of the present invention provide a resource allocation method and device, which can implement resource scheduling only by acquiring an interference noise value on each frequency unit, thereby effectively improving scheduling efficiency and cell throughput.
In order to achieve the above purpose, the embodiment of the invention adopts the technical proposal that,
in one aspect, an embodiment of the present invention provides a resource allocation method, including:
acquiring an interference noise value of User Equipment (UE) on each frequency unit of an uplink channel or a downlink channel;
acquiring the scheduling requirement of the UE;
searching a frequency resource segment with minimum interference according to the interference noise value on each frequency unit and the scheduling requirement of the UE, wherein the frequency resource segment comprises at least one frequency unit;
and allocating the searched frequency resource segment with the minimum interference to the UE.
In another aspect, an embodiment of the present invention provides a resource allocation apparatus, including:
a first obtaining unit, configured to obtain an interference noise value on each frequency unit of an uplink channel or a downlink channel of a user equipment UE;
a second obtaining unit, configured to obtain a scheduling requirement of the UE;
a searching unit, configured to search a frequency resource segment with minimum interference according to the interference noise value on each frequency unit and a scheduling requirement of the UE, where the frequency resource segment includes at least one frequency unit;
and an allocating unit, configured to allocate the searched frequency resource segment with the smallest interference to the UE.
The resource allocation method and the resource allocation device provided by the embodiment of the invention can realize resource scheduling only by acquiring the interference noise value on each frequency unit, thereby effectively improving the scheduling efficiency and the throughput of the cell. The method overcomes the defect that the prior art can be realized only by acquiring signals of users on each frequency unit.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a resource allocation method according to an embodiment of the present invention;
fig. 2 is a flowchart of another resource allocation method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of candidate frequency resource segment determination;
fig. 4 is a diagram illustrating an apparatus structure of a resource allocation device according to an embodiment of the present invention;
fig. 5 is a block diagram of another apparatus of resource allocation device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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.
An embodiment of the present invention provides a resource allocation method, referring to fig. 1, including,
s101: acquiring an interference noise value of User Equipment (UE) on each frequency unit of an uplink channel or a downlink channel;
s102: acquiring the scheduling requirement of the UE;
s103: searching a frequency resource segment with minimum interference according to the interference noise value on each frequency unit and the scheduling requirement of the UE, wherein the frequency resource segment comprises at least one frequency unit;
s104: and allocating the searched frequency resource segment with the minimum interference to the UE.
The resource allocation method provided by the embodiment of the invention can realize resource scheduling only by acquiring the interference noise value on each frequency unit, thereby effectively improving the scheduling efficiency and the throughput of the cell. The method overcomes the defect that the prior art can be realized only by acquiring signals of users on each frequency unit.
Another embodiment of the present invention introduces a resource allocation method in detail, which can be applied to resource allocation of all frequency division systems, for example: frequency Division Multiple Access (FDMA) system, Long Term Evolution (LTE) system, etc., the implementation method and principle are the same, but the specific parameter names of the involved Frequency units are different, this embodiment takes the LTE system as an example for explanation, and in the LTE system, each Resource Block is a Frequency unit, so in the following embodiments, the Frequency unit is specifically expressed as a Resource Block (RB). In addition, the embodiments of the present invention can be applied to scheduling of uplink channel resources, and also can be applied to scheduling of downlink channel resources, and the implementation principle is the same. Referring to fig. 2, comprising:
s201: acquiring an interference noise value of User Equipment (UE) on each resource block of an uplink channel;
for example, an evolved Node B (eNB) acquires an interference noise value of the UE on each resource block of an uplink channel in a current Transmission Time Interval (TTI).
S202: acquiring the scheduling requirement of UE;
illustratively, the eNB may obtain the scheduling requirements of the UE within the current TTI. For example, it may include:
an eNB receives a Buffer Status Report (BSR) message sent by UE, wherein the BSR message comprises the Buffer data volume of the UE;
and the eNB acquires the data volume to be transmitted by the UE according to the buffer data volume of the UE of the BSR message.
Optionally, a Quality of Service (QoS) rate control policy, a buffer status of the UE, and the like may also be considered when determining the amount of data to be transmitted by the UE according to the buffer data amount of the UE in the BSR message.
The eNB determines the spectrum efficiency of a Modulation and coding Scheme (MCS for short) corresponding to the current TTI according to SINR information of an uplink channel full bandwidth (i.e., each frequency unit capable of detecting a signal) of the UE in the current TTI.
Illustratively, the eNB may obtain the MCS through the SINR query of the user, and the MCS corresponds to the spectrum efficiency. The spectral efficiency may reflect the amount of data that the RBs can transmit, where one RB represents one resource block, and the SINR information of the user may include an average SINR of a full bandwidth of the uplink channel in the current TTI or an adjustment amount of the SINR, where the average SINR of the full bandwidth of the uplink channel in the current TTI may be obtained by an average of SINRs of all RBs to which the uplink channel has been scheduled in the current TTI; the SINR adjustment amount may be obtained by filtering the measured SINR, or may be obtained by further adjusting the filtered SINR according to the block error rate, and certainly, in order to obtain a better effect, the SINR information of the user may further include more parameters related to the SINR.
And the eNB acquires the number of the resource blocks expected by the UE according to the data volume to be transmitted by the UE and the spectrum efficiency.
For example, the eNB may calculate the number of RBs expected by the UE according to a ratio of the data amount to be transmitted by the UE to the spectrum efficiency of the MCS corresponding to the current TTI.
Preferably, when determining the scheduling requirement of the UE, the limitation of the LTE uplink transmission power and/or the available power of the UE may be further considered, for example, assuming that the maximum number of RBs that the UE can be allocated is M, and the eNB calculates the number of RBs that the UE expects according to the ratio of the data amount to be transmitted by the UE to the spectral efficiency of the MCS corresponding to the current TTI, which is N, then the scheduling requirement of the UE may take the smaller value of M and N. Of course, if the limitation of the LTE uplink transmission power and/or the available power of the UE is not considered, the scheduling requirement of the UE may be directly determined according to the calculated number N of RBs expected by the UE.
Preferably, the eNB may further adjust the calculated number of RBs expected by the UE. For example, the eNB adjusts the number of RBs allocated by the UE to satisfy:
number of RB ═ 2n1)*(3n2)*(5n3) Wherein n1, n2 and n3 are zero or positive integers.
For example, if the calculated number of RBs does not satisfy the above equation, the priority is adjusted to an integer that is greater than the calculated number of RBs and has the smallest difference, and then the transmission power control of the UE is used for verification, and if the priority is not satisfied, the priority is adjusted to an integer that is less than the calculated number of RBs and has the smallest difference.
For example, assuming that the calculated number of RBs is 7, the above equation is not satisfied, and the adjustment is preferably 10, and if the adjustment is 10 limited by the transmit power control of the UE, the adjustment is 6.
S203: searching and determining a candidate frequency resource segment according to the scheduling requirement of the UE;
the eNB may adopt different search modes according to whether the frequency units required by the UE are consecutive, wherein whether the allocated frequency units must be continuously determined according to the protocol of LTE.
Illustratively, if the scheduling requirements of the UE are: when at least one continuous frequency unit is needed, the eNB may determine a candidate frequency resource segment on an uplink channel by using a window search method, where a size of a search window used in the window search method is determined according to a scheduling requirement of the UE.
For example, the process of determining candidate frequency resource segments by using a window search is explained with reference to fig. 3, in which 15 RBs are illustrated, the number of RBs desired by the UE determined by the eNB is 3, so the size of the search window may be determined as 3 RBs, and the eNB sequentially determines candidate frequency resource segments whose frequency units are consecutive and unoccupied in a manner that the search window with the size of 3 RBs moves from a high frequency to a low frequency or from a low frequency to a high frequency, and determines 7 candidate frequency resource segments in this embodiment with reference to fig. 3. Of course, there are various ways to search for candidate frequency resource segments, and the embodiment of the present invention is not limited to this.
Illustratively, if the scheduling requirements of the UE are: when at least one frequency unit which is not continuous is needed, the eNB can search all different frequency resource segments which are not occupied statistically and contain the resource units of the scheduling requirement number of the UE on the uplink channel.
For example, still referring to fig. 3 for explanation, there are 15 RBs illustrated in the figure, wherein the unoccupied RBs include RB1, RB3, RB4, RB6, RB7, RB8, RB10, RB11, RB12, RB13, RB14, and RB15, the scheduling requirement of the UE is 3 RBs, and the eNB counts any combination of 3 different RBs in the unoccupied RBs, each combination constituting one frequency resource segment.
In addition, if the number of unoccupied frequency cells on the uplink channel searched by the eNB is less than the number of scheduling requirements of the UE, all unoccupied frequency cells may be directly used as the frequency resource segment with the minimum interference.
S204: calculating the equivalent interference noise value of each candidate frequency resource section according to the interference noise value on each frequency unit contained in each candidate frequency resource section;
further, when the interference noise value of the RB obtained by the eNB is a linear domain, the interference noise value of the RB is converted into a dB domain, and then an equivalent interference noise value of each candidate frequency resource segment is calculated according to the interference noise value of the RB contained in each candidate frequency resource segment;
when the interference noise value of the RB obtained by the eNB is in a Decibel (dB) domain, the equivalent interference noise value of each candidate frequency resource segment is directly calculated according to the interference noise value of the RB contained in each candidate frequency resource segment.
For example, referring to fig. 3, assume that the i-th RB interference noise value acquired by the eNB is INiThen, the method for calculating the equivalent interference noise value includes:
(1) calculating an equivalent interference noise value according to the reciprocal sum of the interference noise values of the RBs contained in the candidate frequency resource segment;
for example, if the candidate frequency resource segment 1 contains RB1, the equivalent interference noise value of the candidate frequency resource segment 1 is 1/IN1
Candidate frequency resource segment 2 includes RB3 and RB4, then the equivalent interference noise value of candidate frequency resource segment 2Is 1/IN3+1/IN4
The candidate frequency resource block 3 comprises RB6, RB7, and RB8, and the equivalent interference noise value of the candidate frequency resource block 3 is 1/IN6+1/IN7+1/IN8
And so on, the equivalent interference noise values of other candidate frequency resource segments can be obtained, which is not listed here.
(2) Calculating an equivalent interference noise value according to the average value of the reciprocal sum of the interference noise values of the RBs contained in the candidate frequency resource segment;
for example, if the candidate frequency resource segment 1 contains RB1, the equivalent interference noise value of the candidate frequency resource segment 1 is 1/IN1
The candidate frequency resource segment 2 comprises RB3 and RB4, and the equivalent interference noise value of the candidate frequency resource segment 2 is (1/IN)3+1/IN4)/2;
The candidate frequency resource block 3 comprises RB6, RB7, and RB8, and the equivalent interference noise value of the candidate frequency resource block 3 is (1/IN)6+1/IN7+1/IN8)/3;
And so on, the equivalent interference noise values of other candidate frequency resource segments can be obtained, which is not listed here.
(3) Calculating an equivalent interference noise value according to the sum of the interference noise values of the RBs contained in the candidate frequency resource segment;
for example, if the candidate frequency resource segment 1 includes RB1, the equivalent interference noise value of the candidate frequency resource segment 1 is IN1
The candidate frequency resource segment 2 comprises RB3 and RB4, and the equivalent interference noise value of the candidate frequency resource segment 2 is IN3+IN4
The candidate frequency resource block 3 comprises RB6, RB7, and RB8, and the equivalent interference noise value of the candidate frequency resource block 3 is IN6+IN7+IN8
And so on, the equivalent interference noise values of other candidate frequency resource segments can be obtained, which is not listed here.
(4) Calculating an equivalent interference noise value according to an average value of the sum of the interference noise values of the RBs contained in the candidate frequency resource segment;
for example, if candidate frequency resource segment 1 contains RB1, then the equivalent interference noise value of candidate frequency resource segment 1 is IN 1;
the candidate frequency resource segment 2 comprises RB3 and RB4, and the equivalent interference noise value of the candidate frequency resource segment 2 is (IN3+ IN 4)/2;
the candidate frequency resource segment 3 comprises RB6, RB7, and RB8, and the equivalent interference noise value of the candidate frequency resource segment 3 is (IN6+ IN7+ IN 8)/3;
and so on, the equivalent interference noise values of other candidate frequency resource segments can be obtained, which is not listed here.
S205: determining the frequency resource segment with the minimum interference according to the equivalent interference noise value of each candidate frequency resource segment;
illustratively, when the eNB calculates the equivalent interference noise value according to the reciprocal sum of the interference noise values of the RBs included in the candidate frequency resource segment, or according to the average of the reciprocal sums of the interference noise values of the RBs included in the candidate frequency resource segment, the eNB determines that the candidate frequency resource segment with the largest equivalent interference noise value is the frequency resource segment with the smallest interference, and further determines that the candidate frequency resource segment with the same equivalent interference noise value and the largest equivalent interference noise value searched first is the frequency resource segment with the smallest interference if the equivalent interference noise values of two or more candidate frequency resource segments are the same and the largest.
Illustratively, when the eNB calculates an equivalent interference noise value according to a sum of interference noise values of RBs included in the candidate frequency resource segments, or according to an average value of the sum of interference noise values of RBs included in the candidate frequency resource segments, it is determined that the candidate frequency resource segment with the minimum equivalent interference noise value is the frequency resource segment with the minimum interference, and further, if equivalent interference noise values of two or more candidate frequency resource segments are the same and the minimum, it is determined that the candidate frequency resource segment with the same equivalent interference noise value and the minimum equivalent interference noise value searched first is the frequency resource segment with the minimum interference.
S206: and allocating the frequency resource segment with the minimum interference to the UE.
For example, after allocating the searched frequency resource segment with the minimum interference to the UE, the eNB may send an uplink scheduling (UL Grant) indication to the UE, indicate the position of the frequency resource segment with the minimum interference to the UE, so that the UE acquires the position of the frequency resource segment with the minimum interference according to the uplink scheduling (UL Grant) indication, and send uplink data at the position of the frequency resource segment with the minimum interference.
The resource allocation method provided in another embodiment of the present invention is applicable to the scheduling requirements of the UE as follows: the method specifically includes that the eNB searches unoccupied frequency units on an uplink channel, and selects frequency units with the same number as the scheduling requirements of the UE as frequency resource segments with minimum interference according to the sequence of the interference noise values of the unoccupied frequency units from small to large. In addition, if the number of unoccupied frequency units on the uplink channel searched by the eNB is less than the number of scheduling requirements of the UE, all unoccupied frequency units are used as the frequency resource segment with the minimum interference.
The resource allocation method provided by the embodiment of the invention has simple and reliable implementation conditions, can be implemented by only acquiring the interference noise value on each frequency unit, and effectively improves the scheduling efficiency and the throughput of the cell. The method overcomes the defect that the prior art can be realized only by acquiring signals of users on each frequency unit.
Another embodiment of the present invention provides a resource allocation apparatus 40, for implementing the method shown in fig. 1, where the apparatus 40 is applicable to resource allocation of all frequency division systems, for example: FDMA system, LTE system, etc. have the same implementation method and principle, but the specific parameter names of the related frequency units are different, and this embodiment takes LTE system as an example for description. In addition, the apparatus 40 may be applied to scheduling of uplink channel resources, and also to scheduling of downlink channel resources, and the implementation principle is the same. In the LTE system, the apparatus 40 may be configured on an eNB, referring to fig. 4 and 5, where the apparatus 40 includes:
a first obtaining unit 401, configured to obtain an interference noise value on each resource unit of an uplink channel of a user equipment UE;
for example, in an LTE system, each RB is a resource block, so the first obtaining unit 401 may obtain an interference noise value on each RB of an uplink channel in a current TTI.
A second obtaining unit 402, configured to obtain a scheduling requirement of the UE;
for example, the second obtaining unit 402 may obtain the scheduling requirement of the UE in the current TTI. For example, in the LTE system, the method may include:
a second obtaining unit 402 receives a buffer status report BSR message sent by a UE, where the BSR message includes a buffer data size of the UE;
the second obtaining unit 402 obtains the data amount to be transmitted by the UE according to the buffer data amount of the UE of the BSR message.
Optionally, the second obtaining unit 402 may further consider a QoS rate control policy, a buffer status of the UE, and the like when determining the data amount to be transmitted by the UE according to the buffer data amount of the UE in the BSR message.
The second obtaining unit 402 determines the spectrum efficiency of the MCS corresponding to the current TTI according to the SINR information of the uplink channel full bandwidth of the UE in the current TTI.
For example, the second obtaining unit 402 may obtain an MCS according to the SINR query of the user, where the MCS corresponds to the spectrum efficiency. The spectral efficiency may reflect the amount of data that the RBs can transmit, where one RB represents one resource block, and the SINR information of the user may include an average SINR of a full bandwidth of the uplink channel in the current TTI or an adjustment amount of the SINR, where the average SINR of the full bandwidth of the uplink channel in the current TTI may be obtained by an average of SINRs of all RBs to which the uplink channel has been scheduled in the current TTI; the SINR adjustment amount may be obtained by filtering the measured SINR, or may be obtained by further adjusting the filtered SINR according to the block error rate, and certainly, in order to obtain a better effect, the SINR information of the user may further include more parameters related to the SINR.
A second obtaining unit 402 obtains a calculated value of the number of resource blocks expected by the UE according to the data amount to be transmitted by the UE and the spectrum efficiency.
For example, the second obtaining unit 402 may calculate the number of RBs expected by the UE according to a ratio of the data amount to be transmitted by the UE to the spectrum efficiency of the MCS corresponding to the current TTI.
Preferably, when determining the scheduling requirement of the UE, the second obtaining unit 402 may further consider the limitation of the LTE uplink transmission power and/or the available power of the UE, for example, if the maximum number of RBs that can be allocated by the UE is M, and the eNB calculates the number of RBs that the UE expects according to the ratio of the data amount to be transmitted by the UE to the spectral efficiency of the MCS corresponding to the current TTI, which is N, then the scheduling requirement of the UE may take a smaller value of M and N. Of course, if the limitation of the LTE uplink transmission power and/or the available power of the UE is not considered, the scheduling requirement of the UE may be directly determined according to the calculated number N of RBs expected by the UE.
Preferably, second obtaining unit 402 may further adjust the calculated number of RBs expected by Ue. For example, the second obtaining unit 402 adjusts the number of RBs allocated by the UE to satisfy:
number of RB ═ 2n1)*(3n2)*(5n3) Wherein n1, n2 and n3 are zero or positive integers.
For example, if the calculated number of RBs does not satisfy the above equation, the priority is adjusted to an integer that is greater than the calculated number of RBs and has the smallest difference, and then the transmission power control of the UE is used for verification, and if the priority is not satisfied, the priority is adjusted to an integer that is less than the calculated number of RBs and has the smallest difference.
For example, assuming that the calculated number of RBs is 7, the above equation is not satisfied, and the adjustment is preferably 10, and if the adjustment is 10 limited by the transmit power control of the UE, the adjustment is 6.
A searching unit 403, configured to search a frequency resource segment with the smallest interference according to the interference noise value on each frequency unit and the scheduling requirement of the UE;
illustratively, the search unit 403 includes:
a searching module 4031, configured to search and determine a candidate frequency resource segment according to a scheduling requirement of the UE;
the searching module 4031 may employ different searching modes according to whether the allocated frequency resource segments are required to be continuous, wherein whether the allocated frequency units are determined continuously according to the LTE protocol.
Illustratively, if the scheduling requirements of the UE are: when at least one continuous frequency unit is needed, the searching module 4031 may determine the candidate frequency resource segment on the uplink channel by using a window searching method, where a size of a search window used in the window searching method is determined according to a scheduling requirement of the UE.
For example, the process of determining candidate frequency resource segments by means of window search is explained with reference to fig. 3. The number of RBs illustrated in the figure is 15, the number of RBs desired by the UE determined by the second obtaining unit 402 is 3, so the size of the search window may be determined as 3 RBs, and the search module 4031 sequentially determines the frequency resource segments of the candidates whose frequency units are consecutive and are not occupied in such a manner that the search window with the size of 3 RBs moves from a high frequency to a low frequency or from a low frequency to a high frequency, see fig. 3, which determines 7 candidate frequency resource segments in this embodiment. Of course, there are various ways to search for candidate frequency resource segments, and the embodiment of the present invention is not limited to this.
Illustratively, if the scheduling requirements of the UE are: when at least one discontinuous frequency unit is needed, the searching module 4031 may search on the uplink channel for all different frequency resource segments statistically unoccupied and containing the number of resource units required for scheduling by the UE.
For example, still referring to fig. 3 for explanation, there are 15 RBs illustrated in the figure, wherein the unoccupied RBs include RB1, RB3, RB4, RB6, RB7, RB8, RB10, RB11, RB12, RB13, RB14, and RB15, the scheduling requirement of the UE is 3 RBs, and the eNB counts any combination of 3 different RBs in the unoccupied RBs, each combination constituting one frequency resource segment.
A calculating module 4032, configured to calculate an equivalent interference noise value of each candidate frequency resource segment according to an interference noise value on each frequency unit included in each candidate frequency resource segment;
further, when the interference noise value of the RB acquired by the first acquiring unit 401 is in a linear domain, the calculating module 4032 converts the interference noise value of the RB into a dB domain, and then calculates an equivalent interference noise value of each candidate frequency resource segment according to the interference noise value of the RB included in each candidate frequency resource segment;
when the interference noise value of the RB acquired by the first acquiring unit 401 is in the dB domain, the calculating module 4032 directly calculates the equivalent interference noise value of each candidate frequency resource segment according to the interference noise value of the RB included in each candidate frequency resource segment.
For example, referring to fig. 3, assuming that the ith RB interference noise value acquired by the acquiring unit 401 is INi, the method for calculating the equivalent interference noise value by the calculating module 4032 includes:
(1) calculating an equivalent interference noise value according to the reciprocal sum of the interference noise values of the RBs contained in the candidate frequency resource segment;
for example, if the candidate frequency resource segment 1 contains RB1, the equivalent interference noise value of the candidate frequency resource segment 1 is 1/IN1
The candidate frequency resource segment 2 comprises RB3 and RB4, and the equivalent interference noise value of the candidate frequency resource segment 2 is 1/IN3+1/IN4
The candidate frequency resource block 3 comprises RB6, RB7, and RB8, and the equivalent interference noise value of the candidate frequency resource block 3 is 1/IN6+1/IN7+1/IN8
And so on, the equivalent interference noise values of other candidate frequency resource segments can be obtained, which is not listed here.
(2) Calculating an equivalent interference noise value according to the average value of the reciprocal sum of the interference noise values of the RBs contained in the candidate frequency resource segment;
for example, if the candidate frequency resource segment 1 contains RB1, the equivalent interference noise value of the candidate frequency resource segment 1 is 1/IN1
The candidate frequency resource segment 2 comprises RB3 and RB4, and the equivalent interference noise value of the candidate frequency resource segment 2 is (1/IN)3+1/IN4)/2;
The candidate frequency resource block 3 comprises RB6, RB7, and RB8, and the equivalent interference noise value of the candidate frequency resource block 3 is (1/IN)6+1/IN7+1/IN8)/3;
And so on, the equivalent interference noise values of other candidate frequency resource segments can be obtained, which is not listed here.
(3) Calculating an equivalent interference noise value according to the sum of the interference noise values of the RBs contained in the candidate frequency resource segment;
for example, if the candidate frequency resource segment 1 includes RB1, the equivalent interference noise value of the candidate frequency resource segment 1 is IN1
The candidate frequency resource segment 2 comprises RB3 and RB4, and the equivalent interference noise value of the candidate frequency resource segment 2 is IN3+IN4
The candidate frequency resource block 3 comprises RB6, RB7, and RB8, and the equivalent interference noise value of the candidate frequency resource block 3 is IN6+IN7+IN8
And so on, the equivalent interference noise values of other candidate frequency resource segments can be obtained, which is not listed here.
(4) Calculating an equivalent interference noise value according to an average value of the sum of the interference noise values of the RBs contained in the candidate frequency resource segment;
for example, if the candidate frequency resource segment 1 includes RB1, the equivalent interference noise value of the candidate frequency resource segment 1 is IN1
The candidate frequency resource segment 2 includes RB3 and RB4, and the equivalent interference noise value of the candidate frequency resource segment 2 Is (IN)3+IN4)/2;
The candidate frequency resource block 3 comprises RB6, RB7, and RB8, and the equivalent interference noise value of the candidate frequency resource block 3 Is (IN)6+IN7+IN8)/3;
And so on, the equivalent interference noise values of other candidate frequency resource segments can be obtained, which is not listed here.
A determining module 4033, configured to determine, according to the equivalent interference noise value of each candidate frequency resource segment, a frequency resource segment with the smallest interference.
For example, when the calculating module 4032 calculates the equivalent interference noise value according to the sum of reciprocals of the interference noise values of the RBs included in the candidate frequency resource segment, or according to the average of the sums of reciprocals of the interference noise values of the RBs included in the candidate frequency resource segment, the determining module 4033 determines the candidate frequency resource segment with the largest equivalent interference noise value as the frequency resource segment with the smallest interference, and further, if the equivalent interference noise values of two or more candidate frequency resource segments calculated by the calculating module 4032 are the same and the largest, the determining module 4033 determines the candidate frequency resource segment with the same equivalent interference noise value and the largest searched first as the frequency resource segment with the smallest interference.
For example, when the calculating module 4032 calculates the equivalent interference noise value according to the sum of the interference noise values of the RBs included in the candidate frequency resource segment, or according to the average value of the sum of the interference noise values of the RBs included in the candidate frequency resource segment, the determining module 4033 determines that the candidate frequency resource segment with the minimum equivalent interference noise value is the frequency resource segment with the minimum interference, and further, if the equivalent interference noise values of two or more candidate frequency resource segments calculated by the calculating module 4032 are the same and the minimum, the determining module 4033 determines that the candidate frequency resource segment with the same and the minimum equivalent interference noise value searched first is the frequency resource segment with the minimum interference.
An allocating unit 404, configured to allocate the searched frequency resource segment with the smallest interference to the UE.
For example, after allocating the frequency resource segment with the minimum interference searched by the searching unit 403 to the UE, the allocating unit 404 may send an uplink scheduling (UL Grant) indication to the UE, indicate the position of the frequency resource segment with the minimum interference to the UE, so that the UE acquires the position of the frequency resource segment with the minimum interference according to the uplink scheduling (UL Grant) indication, and send uplink data at the position of the frequency resource segment with the minimum interference.
Further, in the case that the allocated frequency resource segments are not necessarily consecutive, the search unit 403 may be further configured to: searching unoccupied frequency units on an uplink channel, sequencing the unoccupied frequency units according to the interference noise values, and selecting the frequency unit with the minimum interference noise value, which is the same as the scheduling requirement number of the UE, as a frequency resource section with the minimum interference. In addition, if the number of unoccupied frequency units on the uplink channel searched by the eNB is less than the number of scheduling requirements of the UE, all unoccupied frequency units are used as the frequency resource segment with the minimum interference.
Another embodiment of the present invention provides a resource allocation apparatus, which may include a memory and a processor, wherein the memory stores code implementing some or all of the steps of the above method embodiments, and the processor is configured to execute the code stored in the memory.
The resource allocation device provided by the embodiment of the invention can realize resource scheduling only by acquiring the interference noise value on each frequency unit, thereby effectively improving the scheduling efficiency and the throughput of the cell. The method overcomes the defect that the prior art can be realized only by acquiring signals of users on each frequency unit.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer readable storage medium, and when executed, performs steps comprising the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims (24)

1. A method for resource allocation, comprising:
acquiring an interference noise value of User Equipment (UE) on each frequency unit of an uplink channel or a downlink channel;
acquiring the scheduling requirement of the UE; wherein the scheduling requirement comprises at least one frequency unit that is continuous or at least one frequency unit that is discontinuous;
searching a frequency resource segment with minimum interference according to the interference noise value on each frequency unit and the scheduling requirement of the UE, wherein the frequency resource segment comprises at least one frequency unit;
and allocating the searched frequency resource segment with the minimum interference to the UE.
2. The method of claim 1, wherein the searching for the frequency resource segment with the minimum interference according to the interference noise value on each frequency unit and the scheduling requirement of the UE comprises:
searching and determining a candidate frequency resource segment according to the scheduling requirement of the UE;
calculating the equivalent interference noise value of each candidate frequency resource section according to the interference noise value on each frequency unit contained in each candidate frequency resource section;
and determining the frequency resource segment with the minimum interference according to the equivalent interference noise value of each candidate frequency resource segment.
3. The method according to claim 2, wherein the calculating the equivalent interference noise value of each of the candidate frequency resource segments according to the interference noise value of each frequency unit included in each of the candidate frequency resource segments comprises:
when the interference noise value of the frequency unit is in a linear domain, converting the interference noise value of the frequency unit into a decibel dB domain, and then calculating the equivalent interference noise value of each candidate frequency resource section according to the interference noise value of the frequency unit contained in each candidate frequency resource section; or,
and when the interference noise value of the resource block is in a dB domain, directly calculating the equivalent interference noise value of each candidate frequency resource section according to the interference noise value of the frequency unit contained in each candidate frequency resource section.
4. The method according to claim 3, wherein the equivalent interference noise value of the candidate frequency resource segment is the reciprocal sum of the interference noise values of the frequency units included in the candidate frequency resource segment, or is the average of the reciprocal sum of the interference noise values of the frequency units included in the candidate frequency resource segment.
5. The method according to claim 4, wherein the determining the frequency resource segment with the minimum interference according to the equivalent interference noise value of each candidate frequency resource segment comprises:
and determining the candidate frequency resource segment with the maximum equivalent interference noise value as the frequency resource segment with the minimum interference.
6. The method according to claim 5, wherein the determining the frequency resource segment with the minimum interference according to the equivalent interference noise value of each candidate frequency resource segment further comprises:
and if the equivalent interference noise values of two or more candidate frequency resource segments are the same and the maximum, determining the candidate frequency resource segment which is the first candidate frequency resource segment and the minimum interference frequency resource segment, wherein the equivalent interference noise values of the first candidate frequency resource segment are the same and the maximum.
7. The method according to claim 3, wherein the equivalent interference noise value of the candidate frequency resource segment is a sum of interference noise values of frequency units included in the candidate frequency resource segment or an average of the sum of interference noise values of frequency units included in the candidate frequency resource segment.
8. The method according to claim 7, wherein the determining the frequency resource segment with the minimum interference according to the equivalent interference noise value of each candidate frequency resource segment comprises:
and determining the candidate frequency resource segment with the minimum equivalent interference noise value as the frequency resource segment with the minimum interference.
9. The method according to claim 8, wherein the determining the frequency resource segment with the minimum interference according to the equivalent interference noise value of each candidate frequency resource segment further comprises:
and if the equivalent interference noise values of two or more candidate frequency resource segments are the same and the minimum, determining the candidate frequency resource segment which is searched first and has the same equivalent interference noise value and the minimum as the frequency resource segment with the minimum interference.
10. The method according to any of claims 2-9, wherein when the frequency resource segment contains at least one frequency unit in succession, the searching for determining a candidate frequency resource segment according to the scheduling requirement of the UE comprises:
and determining a candidate frequency resource section on the uplink channel or the downlink channel by adopting a window searching mode, wherein the size of a searching window of the window searching is determined according to the scheduling requirement of the UE.
11. The method according to any of claims 2-9, wherein when the frequency resource segment contains at least one discontinuous frequency unit, the searching for and determining a candidate frequency resource segment according to the scheduling requirement of the UE comprises:
and searching and counting all different unoccupied frequency resource segments of the resource units containing the scheduling requirement number of the UE on the uplink channel or the downlink channel.
12. The method of claim 1, wherein when the scheduling requirement of the UE is that one frequency unit or multiple discontinuous frequency units are required, the searching for the frequency resource segment with the minimum interference according to the interference noise value on each frequency unit and the scheduling requirement of the UE comprises:
searching unoccupied frequency units on the uplink channel or the downlink channel, and selecting the frequency units with the same number as the scheduling requirements of the UE as the frequency resource segments with the minimum interference according to the sequence from small to large of the interference noise values of the unoccupied frequency units.
13. A resource allocation apparatus, comprising:
a first obtaining unit, configured to obtain an interference noise value on each frequency unit of an uplink channel or a downlink channel of a user equipment UE;
a second obtaining unit, configured to obtain a scheduling requirement of the UE; wherein the scheduling requirement comprises at least one frequency unit that is continuous or at least one frequency unit that is discontinuous;
a searching unit, configured to search a frequency resource segment with minimum interference according to the interference noise value on each frequency unit and a scheduling requirement of the UE, where the frequency resource segment includes at least one frequency unit;
and an allocating unit, configured to allocate the searched frequency resource segment with the smallest interference to the UE.
14. The resource allocation apparatus according to claim 13, wherein said search unit comprises:
the search module is used for searching and determining a candidate frequency resource segment according to the scheduling requirement of the UE;
a calculating module, configured to calculate an equivalent interference noise value of each candidate frequency resource segment according to an interference noise value on each frequency unit included in each candidate frequency resource segment;
and the determining module is used for determining the frequency resource segment with the minimum interference according to the equivalent interference noise value of each candidate frequency resource segment.
15. The resource allocation device of claim 14, wherein the computing module is further configured to:
when the interference noise value of the frequency unit is in a linear domain, converting the interference noise value of the frequency unit into a decibel dB domain, and then calculating the equivalent interference noise value of each candidate frequency resource section according to the interference noise value of the frequency unit contained in each candidate frequency resource section; or,
and when the interference noise value of the resource block is in a dB domain, directly calculating the equivalent interference noise value of each candidate frequency resource section according to the interference noise value of the frequency unit contained in each candidate frequency resource section.
16. The apparatus according to claim 15, wherein the equivalent interference noise value of the candidate frequency resource segment is the reciprocal sum of the interference noise values of the frequency units included in the candidate frequency resource segment, or is the average of the reciprocal sum of the interference noise values of the frequency units included in the candidate frequency resource segment.
17. The resource allocation apparatus of claim 16, wherein the determining module is further configured to: and determining the candidate frequency resource segment with the maximum equivalent interference noise value as the frequency resource segment with the minimum interference.
18. The resource allocation device of claim 17, wherein the determining module is further configured to: and if the equivalent interference noise values of two or more candidate frequency resource segments are the same and the maximum, determining the candidate frequency resource segment which is the first candidate frequency resource segment and the minimum interference frequency resource segment, wherein the equivalent interference noise values of the first candidate frequency resource segment are the same and the maximum.
19. The apparatus according to claim 15, wherein the equivalent interference noise value of the candidate frequency resource segment is a sum of interference noise values of frequency units included in the candidate frequency resource segment or an average of the sum of interference noise values of frequency units included in the candidate frequency resource segment.
20. The resource allocation apparatus of claim 19, wherein the determining module is further configured to: and determining the candidate frequency resource segment with the minimum equivalent interference noise value as the frequency resource segment with the minimum interference.
21. The resource allocation apparatus of claim 20, wherein the determining module is further configured to: and if the equivalent interference noise values of two or more candidate frequency resource segments are the same and the minimum, determining the candidate frequency resource segment which is searched first and has the same equivalent interference noise value and the minimum as the frequency resource segment with the minimum interference.
22. The resource allocation device according to any of claims 14-21, wherein the search module is further configured to: and when the frequency resource segment contains at least one continuous frequency unit, determining a candidate frequency resource segment on the uplink channel or the downlink channel by adopting a window searching mode, wherein the size of a searching window of the window searching is determined according to the scheduling requirement of the UE.
23. The resource allocation device according to any of claims 14-21, wherein the search module is further configured to: and searching and counting all different unoccupied frequency resource segments containing the resource units of the scheduling requirement number of the UE on the uplink channel or the downlink channel when the frequency resource segments contain at least one discontinuous frequency unit.
24. The resource allocation apparatus according to claim 13, wherein the search unit is further configured to: searching unoccupied frequency units on the uplink channel or the downlink channel, and selecting the frequency units with the same number as the scheduling requirements of the UE as the frequency resource segments with the minimum interference according to the sequence from small to large of the interference noise values of the unoccupied frequency units.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102711257B (en) * 2012-06-13 2015-09-09 华为技术有限公司 A kind of resource allocation methods and equipment
CN106851724B (en) * 2015-12-04 2020-11-24 中国移动通信集团公司 Wireless resource processing method and device
US10129828B2 (en) * 2015-12-14 2018-11-13 Apple Inc. ROHC-based link estimation and power saving in VoLTE
CN107979874B (en) * 2016-10-21 2022-12-02 中兴通讯股份有限公司 Data scheduling method, device and base station for satellite communication system
CN110621074A (en) * 2019-09-02 2019-12-27 京信通信系统(中国)有限公司 Resource allocation method, device, equipment and storage medium
CN112738902B (en) * 2019-10-29 2022-08-09 成都鼎桥通信技术有限公司 Uplink resource scheduling method and device for LTE private network
CN115379580B (en) * 2022-08-23 2024-09-13 中国联合网络通信集团有限公司 Resource allocation method and device

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101292460A (en) * 2005-08-22 2008-10-22 高通股份有限公司 Segment sensitive scheduling
CN101790243A (en) * 2009-12-26 2010-07-28 华为技术有限公司 Dispatching method and device
CN102098785A (en) * 2009-12-14 2011-06-15 中兴通讯股份有限公司 Wireless communication resource allocation method and device

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2274943B1 (en) * 2008-05-09 2016-08-24 Telefonaktiebolaget LM Ericsson (publ) Resource allocation in uplink ofdma
CN101820685B (en) * 2010-04-15 2012-10-10 新邮通信设备有限公司 Frequency selectivity dispatching method and base station
JP2012124585A (en) * 2010-12-06 2012-06-28 Kddi Corp Communication quality estimation device, base station device, communication quality estimation method, and communication quality estimation program
CN102711257B (en) * 2012-06-13 2015-09-09 华为技术有限公司 A kind of resource allocation methods and equipment

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101292460A (en) * 2005-08-22 2008-10-22 高通股份有限公司 Segment sensitive scheduling
CN102098785A (en) * 2009-12-14 2011-06-15 中兴通讯股份有限公司 Wireless communication resource allocation method and device
CN101790243A (en) * 2009-12-26 2010-07-28 华为技术有限公司 Dispatching method and device

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