CN108702769A - Method, base station and the channel quality classifying equipoment of resource allocation - Google Patents

Method, base station and the channel quality classifying equipoment of resource allocation Download PDF

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Publication number
CN108702769A
CN108702769A CN201680075088.0A CN201680075088A CN108702769A CN 108702769 A CN108702769 A CN 108702769A CN 201680075088 A CN201680075088 A CN 201680075088A CN 108702769 A CN108702769 A CN 108702769A
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China
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channel quality
base station
determining
quality level
module
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李汉涛
任占阳
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/12Wireless traffic scheduling
    • 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

Abstract

An embodiment of the present invention provides a kind of method of resource allocation, base station and channel quality classifying equipoments.This method includes:Obtain the mapping relations of the position and channel quality level of user equipment (UE);According to the mapping relations, determine the UE first position channel quality level;Channel quality level according to the UE in the first position determines the dispatching priority of the UE;According to the dispatching priority, resource allocation is carried out to the UE.The mapping relations that technical scheme of the present invention base station passes through the position of UE and the channel quality level of UE, determine UE first position channel quality level, and the dispatching priority of UE is determined according to the mapping relations, resource allocation is carried out to UE according to the dispatching priority, to improve spectrum efficiency, network capacity is improved.

Description

Resource allocation method, base station and channel quality grading equipment Technical Field
The present invention relates to the field of communications, and more particularly, to a method of resource allocation, a base station, and a channel quality ranking device.
Background
With the development of wireless network technology, especially the large-scale commercial use of Long Term Evolution (LTE), the network rate obtained by users has been greatly increased, and with the advent of various corresponding data services (e.g., online video, point-to-point downloading, etc.), the dependence and demand of users on the network are also continuously increased. How to optimize the allocation of wireless resources according to the channel quality, the mobile characteristics and the like so as to meet the user requirements and simultaneously improve the network capacity is a core point for improving the performance of the wireless network.
Disclosure of Invention
The embodiment of the invention provides a resource allocation method, a base station and channel quality grading equipment, which can optimize resource allocation.
In a first aspect, a method for resource allocation is provided. The method comprises the steps of obtaining the mapping relation between the position of User Equipment (UE) and the channel quality grade; determining the channel quality level of the UE at the first position according to the mapping relation; determining the scheduling priority of the UE according to the channel quality level of the UE at the first position; and according to the scheduling priority, carrying out resource allocation on the UE.
The base station acquires the mapping relation between the position of the UE and the channel quality grade, and can determine the channel quality grade of the UE at any position according to the mapping relation. In this way, the base station may determine the scheduling priority of the UE according to the channel quality level of the UE at the first location, and may further perform resource allocation for the UE.
According to the resource allocation method provided by the embodiment of the invention, the channel quality grade of the UE at the first position is determined through the mapping relation between the position of the UE and the channel quality grade of the UE, the scheduling priority of the UE is determined according to the mapping relation, and the resource allocation is carried out on the UE according to the scheduling priority, so that the spectrum efficiency is improved, and the network capacity is improved.
With reference to the first aspect, in a first possible implementation manner of the first aspect, the obtaining a mapping relationship between a location of a user equipment UE and a channel quality level includes: acquiring channel quality information of the UE at different positions within the coverage of a base station; determining the channel quality grade according to the channel quality information; and generating a mapping relation between the position of the UE and the channel quality grade.
If the channel quality grading equipment is on the base station or the base station has the function of grading the channel quality, the base station grades the channel quality according to the channel quality information, for example, the channel quality is graded according to MCS values (the MCS values of the UE at different positions can be regarded as one sample), the MCS values of the UE at different positions in the range of the base station are sorted from large to small and numbered, if N data are shared, the data are sorted into MCS [1], MCS [2] … MCS [ N ], wherein MCS [1] is the maximum, and MCS [ N ] is the minimum.
If the channel quality is preset to be divided into L levels, the MCS value is higher than MCS [ N/L ] and is the channel quality level L, the channel quality level L-1 is between MCS [2[ N/L ] and MCS [ N/L ], and the like, and the MCS value is lower than MCS [ (L-1) [ N/L ], and is the channel quality level 1. Each channel quality level contains the same number of samples, and if the total number of samples cannot divide by L, level 1 may contain more samples than other levels.
With reference to the first aspect, in a second possible implementation manner of the first aspect, the obtaining a mapping relationship between a location of a user equipment UE and a channel quality level includes: and receiving the mapping relation between the position of the UE and the channel quality grade sent by the channel quality grading equipment.
If the channel quality classification device is on the gateway device, the base station may receive the mapping relationship between the location of the UE and the channel quality classification determined by the channel quality classification device.
With reference to the first aspect and the first possible implementation manner of the first aspect or the second possible implementation manner of the first aspect, in a third possible implementation manner of the first aspect, the method further includes: receiving first location information of the UE; and determining that the UE is at the first position according to the first position information.
The base station receives first position information of the UE, can determine the current position of the UE according to the first position information, and further determines the channel quality grade of the UE at the current position according to the mapping relation between the position of the UE and the channel quality grade, so that the scheduling priority of the UE is determined, and resource allocation is optimized according to the scheduling priority.
With reference to the first aspect, any one possible implementation manner of the first aspect to the third possible implementation manner of the first aspect, in a fourth possible implementation manner of the first aspect, the mapping relationship includes a mapping relationship between a partition and the channel quality level, where the partition is a partition within a coverage area of the base station.
The mapping relationship obtained by the base station may be a mapping relationship between a specific position of the UE and the channel quality level, or a mapping relationship between a partition where the UE is located and the channel quality level, where the partition is obtained by performing rasterization on the coverage area of the base station. The rasterized partition number is related to the positioning accuracy of the UE, and the higher the positioning accuracy is, the larger the area number is, and vice versa. Therefore, the priority can be further accurately scheduled, and the resource allocation is optimized.
With reference to the first aspect, any one possible implementation manner of the first aspect to the fourth possible implementation manner of the first aspect, in a fifth possible implementation manner of the first aspect, the determining a scheduling priority of the UE according to the channel quality level of the UE at the first location includes: determining a scheduling weight factor according to the channel quality level of the UE at the first position; and determining the scheduling priority according to the scheduling weight factor.
The base station may preset a scheduling weight factor ω corresponding to the channel quality level. The channel quality grades are sorted from large to small according to MCS values, and the higher the MCS value after grading is, the higher the channel quality grade is, therefore, the channel quality grades 1, 2 and 3 … L and the corresponding scheduling weight factors omega 1, omega 2 and omega 3 … omega L, wherein omega 1 is not less than omega 2 and not more than omega 3 is not less than … and not more than omega L. The base station calculates the scheduling priority of the UE as follows:
Priority=w·BaseLine
wherein, BaseLine represents the user scheduling priority calculated by the current PF scheme, and ω is a scheduling weight factor set by combining the channel quality classification information.
Therefore, according to the scheduling weight factor, the scheduling priority of the UE is determined, so that resource allocation can be further optimized, the spectrum efficiency is improved, and the network capacity is improved.
With reference to the first aspect, any one possible implementation manner of the first aspect to the fourth possible implementation manner of the first aspect, in a sixth possible implementation manner of the first aspect, the determining a scheduling priority of the UE according to the channel quality level of the UE at the first location includes: determining a scheduling weight factor according to the relationship between the channel quality level of the UE at the first position and the channel quality level of the UE at the second position, wherein the second position is the position where the UE is located before moving to the first position; and determining the scheduling priority according to the scheduling weight factor.
The base station may also determine, according to the mapping relationship, a channel quality level of the UE at the first location, and may also determine a channel quality level of the UE at a second location, where the UE is located before moving to the first location (i.e., a historical location of the UE). The base station may determine the scheduling weight factor based on a change in the channel quality level at the first location and the channel quality level at the second location.
Assuming that the base station determines that the channel quality grade of the UE at the first location is a current channel quality grade (currchalev), the channel quality grade of the UE at the second location is a historical channel quality grade (HisChaLev), and then sets a rising threshold (HighThres) and a falling threshold (LowThres), the base station determines the scheduling weight factor according to the change of the channel quality grade of the first location and the channel quality grade of the second location. If the current channel quality grade of the UE is greater than the historical channel quality grade and exceeds the Highthres, the scheduling weight factor is increased; and if the current channel quality level of the UE is less than the historical channel quality level and exceeds LowThres, reducing the scheduling weight factor.
That is, if the channel quality level rises above the threshold, it is considered that the user enters a region with higher relative channel quality, and the scheduling weight factor is increased; if the channel quality grade is decreased to exceed the threshold value, the user is considered to enter the area with poor relative channel quality, and the scheduling weight factor is reduced at the moment.
It should be understood that when the channel quality level is higher, the fluctuation threshold may be set more than one, and the present invention is not limited to this.
In a second aspect, a method of resource allocation is provided. The method comprises the steps of obtaining channel quality information of User Equipment (UE) at different positions in a coverage area of a base station; determining a channel quality grade according to the channel quality information; generating a mapping relation between the position of the UE and the channel quality grade; and sending the mapping relation to a base station, so that the base station determines the scheduling priority of the UE according to the channel quality level of the UE at the first position determined by the mapping relation, and performs resource allocation on the UE according to the scheduling priority.
The channel quality grading equipment acquires channel quality information of the UE at different positions within the coverage of the base station, wherein the channel quality information comprises Modulation and Coding Scheme (MCS) values, and the MCS values are obtained by correcting and converting a wideband CQI reported by the UE by the base station and are sent to the channel quality grading equipment.
The channel quality grading equipment grades the channel quality according to the channel quality information, for example, grades the channel quality according to MCS value (the MCS value of the UE at different positions can be regarded as one sample), sorts the MCS value of the UE at different positions in the range of the base station from big to small, numbers the MCS value, if N data are shared, sorts the MCS [1], MCS [2] … MCS [ N ], wherein MCS [1] is the largest, and MCS [ N ] is the smallest.
If the channel quality is preset to be divided into L levels, the MCS value is higher than MCS [ N/L ] and is the channel quality level L, the channel quality level L-1 is between MCS [2[ N/L ] and MCS [ N/L ], and the like, and the MCS value is lower than MCS [ (L-1) [ N/L ], and is the channel quality level 1. Each channel quality level contains the same number of samples, and if the total number of samples cannot divide by L, level 1 may contain more samples than other levels.
It should be understood that the channel quality grading device may be a stand-alone device, may also be deployed on a base station, or may be deployed on a core gateway (e.g., an SGW or a PGW of an LTE system), or may also be a base station or a core gateway having the above functions, and so on. For convenience of description, the following embodiments illustrate the channel quality grading apparatus as a standalone device, but the present invention is not limited thereto.
According to the resource allocation method provided by the embodiment of the invention, the channel quality information of the UE at different positions in the coverage area of the base station is obtained, the channel quality grade is determined, the mapping relation between the position of the UE and the channel quality grade is generated, and the mapping relation is sent to the base station, so that the base station determines the scheduling priority of the UE according to the channel quality grade of the UE at the first position determined by the mapping relation, and performs resource allocation on the UE according to the scheduling priority, thereby improving the spectrum efficiency and the network capacity.
With reference to the second aspect, in a first possible implementation manner of the second aspect, the generating a mapping relationship between the location of the UE and the channel quality level includes: and generating a mapping relation between the partitions and the channel quality levels, wherein the partitions are the partitions in the coverage area of the base station.
The channel quality grading equipment acquires the position information of the UE at different positions in the range of the base station, and can determine the actual coverage range of the base station according to the position information of the UE at different positions, and grid the coverage range, so that a plurality of areas are divided. And mapping the rasterized subareas with the channel quality grade to generate a mapping relation. Assume that there are M MCS values for a UE in common in each grid. The channel quality classification device may map each MCS value to a spectral efficiency, average the M spectral efficiency values, and finally remap the obtained average spectral efficiency to an MCS value, so that the MCS value may be regarded as an equivalent MCS value in the trellis partition.
Therefore, the channel quality grading equipment can grade the channel quality according to the equivalent MCS value in each grid partition, and further determine the channel quality grade of each grid partition, so that the base station can perform resource allocation according to the channel quality grade.
In a third aspect, the present application provides a base station comprising means for performing the method of the first aspect or any one of the possible implementations of the first aspect.
In a fourth aspect, the present application provides a channel quality ranking device comprising means for performing the method of the second aspect described above or any one of the possible implementations of the second aspect.
In a fifth aspect, the present application provides a base station, comprising: a processor and a memory;
the memory stores a program that is executed by the processor for performing the method for resource allocation according to the first aspect or any one of the possible implementations of the first aspect.
In a sixth aspect, the present application provides a channel quality grading apparatus, including: a processor and a memory;
the memory stores a program that is executed by the processor for performing the method for resource allocation according to the second aspect or any one of the possible implementations of the second aspect.
Based on the technical scheme, in the embodiment of the invention, the channel quality grade of the UE at the first position is determined through the mapping relation between the position of the UE and the channel quality grade of the UE, the scheduling priority of the UE is determined according to the mapping relation, and the resource allocation is carried out on the UE according to the scheduling priority, so that the spectrum efficiency is improved, and the network capacity is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic diagram of an application scenario of the prior art.
Fig. 2 is a schematic diagram of an application scenario of an embodiment of the present invention.
FIG. 3 is a flowchart interaction diagram of a method of resource allocation, in accordance with one embodiment of the present invention.
Fig. 4a is a schematic diagram of a specific embodiment of a method for resource allocation according to an embodiment of the present invention.
Fig. 4b is a schematic diagram of another embodiment of the method for resource allocation according to the embodiment of the present invention.
Fig. 5 is a schematic block diagram of a base station for resource allocation according to an embodiment of the present invention.
Fig. 6 is a schematic block diagram of a channel quality ranking device according to one embodiment of the invention.
Fig. 7 is a schematic structural diagram of a base station according to an embodiment of the present invention.
Fig. 8 is a schematic structural diagram of a channel quality ranking apparatus according to another 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 some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The technical solutions of the embodiments of the present invention are divided according to access systems, and can be applied to various communication systems, for example: global System for Mobile communications (GSM), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), General Packet Radio Service (GPRS), Long Term Evolution (LTE), LTE Frequency Division Duplex (FDD), Time Division Duplex (TDD), UMTS, and cellular systems, among others. In the embodiment of the present invention, an LTE system is taken as an example for description, but the present invention is not limited to this.
It should also be understood that, in the embodiment of the present invention, a User Equipment (User Equipment, abbreviated as "UE") may be referred to as a Terminal (Terminal), a Mobile Station (Mobile Station, abbreviated as "MS"), a Mobile Terminal (Mobile Terminal), and the like, the User Equipment may communicate with one or more core networks via a Radio Access Network (RAN), and the UE may be referred to as an Access Terminal, a Terminal device, a subscriber unit, a subscriber Station, a Mobile Station, a remote Terminal, a Mobile device, a User Terminal, a wireless communication device, a User agent, or a User Equipment. The UE may be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA), a handheld device with Wireless communication capability, a computing device or other processing device connected to a Wireless modem, a vehicle mounted device, a wearable device, a terminal device in a future 5G network, and so on.
In this embodiment of the present invention, a Base Station may be a Base Transceiver Station (BTS) in GSM, a Base Station (NodeB, NB) in WCDMA, or an evolved Node B (ENB or e-NodeB) in LTE, which is not limited in this embodiment of the present invention, but for convenience of description, the following embodiment will use ENB as an example for description.
Fig. 1 is a schematic diagram of an application scenario of the prior art. The base station provides functions of access, paging, data service and the like for the UE. The data providing function of the base station is mainly realized by a scheduling function deployed in the base station equipment. Scheduling refers to that the base station device performs radio resource allocation according to the channel quality, the historical data rate, the network condition, and the like of the UE in each transmission time interval, so as to determine indexes such as the data rate, the time delay, and the like that the UE can obtain. For example, in an LTE system, the radio resources have two main dimensions: time domain and frequency domain. The whole wireless resource is divided into a plurality of small resource blocks according to time and frequency, wherein each resource block is 1ms in time domain and 180KHz in frequency domain. The role of scheduling is how to allocate these resource blocks to the UE.
The existing typical radio resource allocation method includes: round Robin (RR) algorithm, Max Carrier/Interference (Max C/I) algorithm, and Proportional Fair (PF) algorithm.
The RR algorithm generally uses a round-robin scheduling algorithm as a measure when considering fairness. The algorithm calls each user cyclically, i.e. each user occupies service resources (time slots, power, etc.) with the same probability in terms of scheduling probability. The round-robin scheduling algorithm is the same as the Max C/I algorithm in each scheduling, and does not consider the situation that the user is served in the past, i.e. a memoryless mode. The round-robin scheduling algorithm is the most fair algorithm, but the resource utilization rate of the algorithm is not high, because some users may be served when the channel condition is very bad, and thus the throughput of the system is low. As can be seen from fig. 1, although the channel qualities of UEl and UE2 are different (i.e. the distances from the base station are different), the same channel utilization time is allocated to UEl and UE2, i.e. the resource allocation is UE1, UE2, UE1, and UE2 ….
When the Max C/I algorithm selects the transmission user, only the user with the best channel condition is selected to occupy the resource for transmitting data, and when the channel of the user is changed, the user with the best other channel is selected. The base station always serves the user with the best channel condition at the transmission moment. The throughput acquired by the Max C/I algorithm is a limit value of the throughput, but in mobile communication, users are located at different positions and have different received signal strengths, the Max C/I algorithm inevitably takes care of users close to the base station and having good channels, while other users far away from the base station cannot obtain services, and the service coverage of the base station is very small. This scheduling algorithm is the least unfair. As shown in fig. 1, it is assumed that the channel condition of UEl is better than that of UE2 during the service process, and only when all data in the buffer of UE1 with better channel condition is transmitted, the system schedules the service of UE2, that is, the resource allocation manner is UE1, UE1, UE1, UE1(UE1 is completed), UE2, and UE2 ….
PF is a calculation of scheduling priority based on the average of the channel quality of the UE and the data throughput of the UE over a past period of time (i.e., average rate):
scheduling priority-channel quality/average rate,
although the channel condition of UEl is better than that of UE2, after a period of time, the average rate of UE2 decreases resulting in an increase in priority, and can still be scheduled in a manner of resource allocation of UE1, UE1, UE2, UE1, and UE1 ….
The PF algorithm has the main advantages that the channel condition of the user and the service fairness among the users are comprehensively considered, a certain compromise can be obtained between the system throughput and the service fairness, and the PF algorithm is an algorithm which is adopted more at present. Although PF takes into account the spectral efficiency of the UE (i.e., throughput in a unit frequency band) according to the channel quality, the practical effect of calculating the scheduling priority is close to the average allocation of bandwidth (frequency) resources to each UE, because of taking into account the average rate.
However, in a wireless communication system, mobile users account for a very high percentage, and the spectrum efficiency changes dramatically with the movement of the users. For example, when the UE is in the center of the cell, the spectral efficiency is significantly higher than at the cell edge. Therefore, the current scheduling scheme represented by PF does not fully utilize the difference, and the spectrum efficiency of the system is not optimized, so that the maximum capacity of the system is not achieved.
Fig. 2 shows a schematic diagram of an application scenario of an embodiment of the present invention. The embodiment of the invention is improved on the basis of the PF scheme, can be applied to mobile scenes of videos and download services which are insensitive to the instant rate and have requirements on the average rate, fully utilizes the difference of the quality grade change of the UE channel, and achieves the purposes of improving the frequency spectrum efficiency of users and improving the network capacity.
Fig. 3 is a flowchart interaction diagram of a method 100 of resource allocation in one embodiment of the invention. In fig. 3, a UE, a base station and a channel quality ranking device are shown, wherein the UE is a UE in the coverage area of the base station (which can also be regarded as a cell), and each step in the method 100 will be described in detail below.
It should be noted that this is only for helping those skilled in the art better understand the embodiments of the present invention, and does not limit the scope of the embodiments of the present invention.
It should be understood that the channel quality grading device may be a stand-alone device, may also be deployed on a base station, or may be deployed on a core gateway (for example, a serving gateway or a public data network gateway of an LTE system), or may also be a base station or a core gateway having the above functions, and so on. For convenience of description, the following embodiments illustrate the channel quality grading apparatus as a standalone device, but the present invention is not limited thereto.
S101, acquiring the channel quality information of the UE at different positions within the coverage of the base station.
Specifically, the Channel Quality classifying device obtains Channel Quality information of the UE at different positions within a coverage area of the base station, where the Channel Quality information includes a Modulation and Coding Scheme (MCS) value, and the MCS value is obtained by modifying and converting a wideband Channel Quality Indicator (CQI) reported by the UE by the base station, and sending the modified and converted value to the Channel Quality classifying device.
It should be understood that the channel Quality information may further include CQI, Precoding Matrix Indicator (PMI), Rank Indicator (RI), Received Signal Strength Indicator (RSSI), Reference Signal Receiving Power (RSRP), Reference Signal Receiving Quality (RSRQ), Signal to Noise Ratio (SINR), spectral efficiency, etc., which is not limited in the present invention.
It should also be understood that the channel quality ranking device may obtain the channel quality information of the UE at different positions within the coverage of the base station from the UE, and the obtained channel quality information may be stored for later use. The channel quality information may be obtained by forwarding through the base station, or may be directly obtained by the channel quality classification device, which is not limited in the present invention.
S102, determining the channel quality grade of the UE according to the channel quality information.
Specifically, the channel quality grading device grades the channel quality according to the channel quality information of the UE at different positions, for example, the channel quality grades according to the MCS value (the MCS value of the UE at different positions can be regarded as one sample), the MCS values of the UE at different positions in the range of the base station are sorted from large to small and numbered, if N data are shared, the data are sorted into MCS [1], MCS [2] … MCS [ N ], wherein MCS [1] is the largest and MCS [ N ] is the smallest. If the channel quality is preset to be divided into L levels, the MCS value is higher than MCS [ N/L ] and is the channel quality level L, the channel quality level L-1 is between MCS [2[ N/L ] and MCS [ N/L ], and the like, and the MCS value is lower than MCS [ (L-1) [ N/L ], and is the channel quality level 1. Each channel quality level contains the same number of samples, and if the total number of samples cannot divide by L, level 1 may contain more samples than other levels.
Optionally, in the LTE system, if the channel quality information acquired by the channel quality classification device is RSRQ, SINR conversion may be performed according to the following formula:
lin2dB is the conversion from linear value to dB value, and dB2Lin is the conversion from dB value to linear value. The SINR after scaling may be mapped to the MCS value, so that channel quality classification may be performed according to the MCS value.
It should be noted that the preset division of the channel quality into L levels may be preset by the base station, and the preset level pattern may be a uniform distribution, an exponential distribution, a logarithmic distribution, or the like, which is not limited in the present invention.
It should be understood that the channel quality classifying apparatus may set a number threshold of MCS values, and rank the UEs according to a preset rank mode when the number of UEs is greater than the number threshold. For example, in a typical walking scenario, if the base station covers 500m, the UE moves at 3km/h, and the CQI reporting period is 10ms, the number of available channel quality samples is 3600 × 0.5 × 100/3 — 60000.
S103, generating a mapping relation between the position of the UE and the channel quality grade of the UE.
Specifically, the channel quality grading equipment acquires the channel quality information of the UE at different positions in the coverage area of the base station. After determining the channel quality grade of the UE according to the channel quality information, the channel quality grading device may map the location of the UE to the channel quality grade of the UE.
It should be understood that the channel quality classifying device obtains the location information of the UE at different locations within the range of the base station, and the location information may be obtained through a Positioning scheme such as a Global Positioning System (GPS), an Assisted Global Positioning System (a-GPS), and an Observed Time Difference of Arrival (OTDOA), which is not limited in this respect.
Optionally, the mapping relationship includes a mapping relationship between a partition and the channel quality level, where the partition is a partition within the coverage of the base station.
The channel quality grading equipment can determine the actual coverage area of the base station according to the position information of the UE at different positions, and grid the coverage area, thereby dividing a plurality of areas. For example, as shown in FIG. 4a, 12 grid partitions may be divided.
And mapping the rasterized subareas with the channel quality grade to generate a mapping relation. Assume that there are M MCS values for a UE in common in each grid. The channel quality classification device may map each MCS value to a spectral efficiency, average the M spectral efficiency values, and finally remap the obtained average spectral efficiency to an MCS value, so that the MCS value may be regarded as an equivalent MCS value in the trellis partition. For example, as shown in fig. 4b, 5(5) indicates that the channel quality level of grid 5 is 5.
Therefore, the channel quality grading equipment can grade the channel quality according to the equivalent MCS value in each grid partition, and further determine the channel quality grade of each grid partition, so that the base station determines the scheduling priority according to the channel quality grade, thereby optimizing resource allocation and improving the spectrum efficiency and the network capacity.
It should be understood that the number of rasterized partitions is related to the positioning accuracy of the UE, and the higher the positioning accuracy, the larger the number of regions, and vice versa. That is, when the positioning accuracy of the UE is high, there may be only one UE in each area, which is not limited in the present invention.
It should also be understood that the channel quality classification device may obtain the location information of the UE through forwarding by the base station, or directly obtain the location information of the UE, which is not limited in the present invention.
S104, the mapping relation is sent to the base station.
The channel quality grading equipment maps the UE to the channel quality grade of the UE at different positions respectively, forms the mapping relation between the position of the UE and the channel quality, and sends the mapping relation to the base station.
S105, acquiring first position information of the UE.
The base station acquires first position information of the UE to determine a current position (namely a first position) of the UE.
S106, the base station determines the first position of the UE according to the first position information of the UE.
S107, determining the channel quality level of the UE at the first position according to the mapping relation.
The base station receives the mapping relation between the position of the UE and the channel quality grade, and the channel quality grade of the UE at any position can be determined according to the mapping relation. In this way, the base station may determine the scheduling priority of the UE according to the channel quality level of the UE at the first location, and may further perform resource allocation for the UE.
S108, determining the scheduling priority of the UE according to the channel quality grade of the UE at the first position.
Optionally, the determining the scheduling priority of the UE according to the channel quality level of the UE at the first location includes:
determining a scheduling weight factor according to the channel quality grade of the UE at the first position;
and determining the scheduling priority according to the scheduling weight factor.
Specifically, the base station may set a scheduling weight factor ω corresponding to the channel quality level in advance. The channel quality grades are sorted from large to small according to MCS values, and the higher the MCS value after grading is, the higher the channel quality grade is, therefore, the channel quality grades 1, 2 and 3 … L and the corresponding scheduling weight factors omega 1, omega 2 and omega 3 … omega L, wherein omega 1 is not less than omega 2 and not more than omega 3 is not less than … and not more than omega L. The base station calculates the scheduling Priority (Priority) of the UE as follows:
Priority=w·BaseLine (2)
wherein, BaseLine represents the user scheduling priority calculated by the current PF scheme, and ω is a scheduling weight factor set by combining the channel quality classification information.
Optionally, in this embodiment of the present invention, the determining the scheduling priority of the UE according to the channel quality level of the UE at the first location includes:
determining a scheduling weight factor according to the relationship between the channel quality level of the UE at the first position and the channel quality level of the UE at the second position, wherein the second position is the position where the UE is located before moving to the first position;
and determining the scheduling priority according to the scheduling weight factor.
The base station may also determine, according to the mapping relationship, a channel quality level of the UE at the first location, and may determine a channel quality level of the UE at a second location, where the UE is located before moving to the first location (i.e., a historical location of the UE). The base station may determine the scheduling weight factor based on a change in the channel quality level at the first location and the channel quality level at the second location.
It should be understood that the first location and the second location may be specific locations of a single UE, or may be one grid partition after the grid partition, which is not limited in this respect, and the following detailed description will take the first location and the second location as an example of one grid partition respectively.
Assuming that the base station determines that the channel quality level of the UE at the first location is a current channel quality level (currchalev), and the channel quality level of the UE at the second location is a historical channel quality level (HisChaLev), and then sets a rising threshold (HighThres) and a falling threshold (LowThres), the base station determines the scheduling weight factor according to a change between the channel quality level of the first location and the channel quality level of the second location, which may be shown in table 1. If the current channel quality grade of the UE is greater than the historical channel quality grade and exceeds the Highthres, the scheduling weight factor is increased; and if the current channel quality level of the UE is less than the historical channel quality level and exceeds LowThres, reducing the scheduling weight factor.
TABLE 1
Wherein, wl≤wo≤wh
That is, if the channel quality level rises above the threshold, it is considered that the user enters a region with higher relative channel quality, and the scheduling weight factor is increased; if the channel quality grade is decreased to exceed the threshold value, the user is considered to enter the area with poor relative channel quality, and the scheduling weight factor is reduced at the moment.
For example, as shown in fig. 4b, if the current position of the UE is grid partition 5 and the previous position is grid partition 4, HighThres is set to 1. Then it can be seen that the UE moves from the previous grid partition 4 to the current grid partition 5, the channel quality level rises by 2, and the condition of raising the scheduling priority is satisfied, then the execution is performed
Priotity=ωh·BaseLine (3)
It should be understood that when the channel quality level is higher, the fluctuation threshold may be set more than one, and the present invention is not limited to this. For example, as shown in table 2, when the channel quality level changes greatly, the change of the scheduling weight factor is also large.
TABLE 2
Wherein, Highthres1>HighThres2,LowThres1<LowThres2,wl2≤wl1≤wo≤wh2≤wh1
S109, according to the scheduling priority, the resource allocation is carried out to the UE.
Performing differentiated scheduling according to the channel quality grades, wherein the higher the channel quality priority is, the more wireless resources are obtained by the UE; the lower the channel quality priority, the less radio resources the UE can obtain, so that the base station can make full use of the spectrum efficiency and increase the network capacity.
Or, performing differentiated scheduling according to the channel quality grade change, wherein when the channel quality grade rises, the more radio resources the UE obtains; when the channel quality level is reduced, the less the wireless resources obtained by the UE, the frequency spectrum efficiency of the UE can be improved by utilizing the change of the channel quality level, and the network capacity is increased.
Therefore, the method for resource allocation provided in the embodiment of the present invention determines the channel quality level of the UE at the first location according to the mapping relationship between the location of the UE and the channel quality level of the UE, determines the scheduling priority of the UE according to the mapping relationship, and allocates resources to the UE according to the scheduling priority, thereby improving the spectrum efficiency and increasing the network capacity.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
Having described the method of resource allocation in detail above according to an embodiment of the present invention, a base station and a channel quality ranking device according to an embodiment of the present invention will be described below.
Fig. 5 shows a schematic block diagram of a base station 300 according to an embodiment of the invention. As shown in fig. 5, the base station 300 includes:
an obtaining module 310, configured to obtain a mapping relationship between a location of a user equipment UE and a channel quality level;
a first determining module 320, configured to determine, according to the mapping relationship obtained by the obtaining module, a channel quality level of the UE at a first location;
a second determining module 330, configured to determine a scheduling priority of the UE according to the channel quality level of the UE at the first location determined by the first determining module;
a resource allocation module 340, configured to allocate resources to the UE according to the scheduling priority.
Therefore, the base station for resource allocation provided in the embodiment of the present invention determines the channel quality level of the UE at the first location according to the mapping relationship between the location of the UE and the channel quality level of the UE, determines the scheduling priority of the UE according to the mapping relationship, and allocates resources to the UE according to the scheduling priority, thereby improving the spectrum efficiency and increasing the network capacity.
Optionally, in this embodiment of the present invention, the obtaining module 310 is specifically configured to:
acquiring channel quality information of the UE at different positions within the coverage of a base station;
determining the channel quality grade according to the channel quality information;
and generating a mapping relation between the position of the UE and the channel quality grade.
In this embodiment of the present invention, optionally, the obtaining module 310 is specifically configured to:
and receiving the mapping relation between the UE position and the channel quality grade sent by the channel quality grading equipment.
In this embodiment of the present invention, optionally, the base station 300 further includes:
a receiving module, configured to receive first location information of the UE;
a third determining module, configured to determine that the UE is at the first location according to the first location information.
Optionally, in this embodiment of the present invention, the mapping relationship includes a mapping relationship between a partition and the channel quality level, where the partition is a partition within the coverage area of the base station.
In this embodiment of the present invention, optionally, the second determining module 330 is specifically configured to:
determining a scheduling weight factor according to the channel quality grade of the UE at the first position;
and determining the scheduling priority according to the scheduling weight factor.
Optionally, in this embodiment of the present invention, the second determining module 330 is specifically configured to:
determining a scheduling weight factor according to the relationship between the channel quality level of the UE at the first position and the channel quality level of the UE at the second position, wherein the second position is the position where the UE is located before moving to the first position;
and determining the scheduling priority according to the scheduling weight factor.
Therefore, the base station for resource allocation provided in the embodiment of the present invention determines the channel quality level of the UE at the first location according to the mapping relationship between the location of the UE and the channel quality level of the UE, determines the scheduling priority of the UE according to the mapping relationship, and allocates resources to the UE according to the scheduling priority, thereby improving the spectrum efficiency and increasing the network capacity.
The base station 300 according to the embodiment of the present invention may correspond to a base station in a method for resource allocation according to the embodiment of the present invention, and the above and other operations and/or functions of each module in the base station 300 are respectively for implementing corresponding processes of each aforementioned method, and are not described herein again for brevity.
Fig. 6 shows a schematic block diagram of a channel quality ranking device 500 according to an embodiment of the invention. As shown in fig. 6, the channel quality ranking apparatus 500 includes:
an obtaining module 510, configured to obtain channel quality information of different positions of a UE in a coverage area of a base station;
a determining module 520, configured to determine a channel quality level according to the channel quality information acquired by the acquiring module;
a generating module 530, configured to generate a mapping relationship between the location of the UE and the channel quality level determined by the determining module;
a sending module 540, configured to send the mapping relationship generated by the generating module to a base station, so that the base station determines a scheduling priority of the UE according to the channel quality level of the UE at the first location determined by the mapping relationship, and performs resource allocation on the UE according to the scheduling priority.
Therefore, the channel quality classification device provided in the embodiment of the present invention determines the channel quality level by obtaining the channel quality information of the UE at different positions within the coverage of the base station, generates the mapping relationship between the position of the UE and the channel quality level, and sends the mapping relationship to the base station, so that the base station determines the scheduling priority of the UE according to the channel quality level of the UE at the first position determined by the mapping relationship, and performs resource allocation on the UE according to the scheduling priority, thereby improving the spectrum efficiency and improving the network capacity.
Optionally, in this embodiment of the present invention, the generating module 530 is specifically configured to:
and generating a mapping relation between the partitions and the channel quality levels, wherein the partitions are the partitions in the coverage area of the base station.
Therefore, the channel quality classification device provided in the embodiment of the present invention determines the channel quality level by obtaining the channel quality information of the UE at different positions within the coverage of the base station, generates the mapping relationship between the position of the UE and the channel quality level, and sends the mapping relationship to the base station, so that the base station determines the scheduling priority of the UE according to the channel quality level of the UE at the first position determined by the mapping relationship, and performs resource allocation on the UE according to the scheduling priority, thereby improving the spectrum efficiency and improving the network capacity.
The channel quality ranking apparatus 500 according to the embodiment of the present invention may correspond to the channel quality ranking apparatus in the method for resource allocation according to the embodiment of the present invention, and the above and other operations and/or functions of each module in the channel quality ranking apparatus 500 are respectively for implementing corresponding processes of each aforementioned method, and are not described herein again for brevity.
Fig. 7 shows a structure of a base station according to another embodiment of the present invention, which includes at least one processor 702 (e.g., CPU), at least one network interface 705 or other communication interfaces, a memory 706, and at least one communication bus 703 for implementing connection communication between these devices. The processor 702 is configured to execute executable modules, such as computer programs, stored in the memory 706. The Memory 706 may comprise a high-speed Random Access Memory (RAM), and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection with at least one other network element is realized through at least one network interface 705 (which may be wired or wireless).
In some embodiments, the memory 706 stores the program 7061, and the processor 702 executes the program 7061 for:
acquiring a mapping relation between the position of User Equipment (UE) and a channel quality grade;
determining the channel quality level of the UE at the first position according to the mapping relation;
determining the scheduling priority of the UE according to the channel quality level of the UE at the first position;
and according to the scheduling priority, carrying out resource allocation on the UE.
Optionally, the processor 702 is specifically configured to:
acquiring channel quality information of the UE at different positions within the coverage of a base station;
determining the channel quality grade according to the channel quality information;
and generating a mapping relation between the position of the UE and the channel quality grade.
In this embodiment of the present invention, optionally, the processor 702 is specifically configured to:
and receiving the mapping relation between the UE position and the channel quality grade sent by the channel quality grading equipment.
In this embodiment of the present invention, optionally, the processor 702 is further configured to:
receiving first location information of the UE;
and determining that the UE is at the first position according to the first position information.
In this embodiment of the present invention, optionally, the mapping relationship includes a mapping relationship between a partition and the channel quality level, where the partition is a partition within the coverage area of the base station.
Optionally, the processor 702 is specifically configured to:
determining a scheduling weight factor according to the channel quality grade of the UE at the first position;
and determining the scheduling priority according to the scheduling weight factor.
Optionally, the processor 702 is specifically configured to:
determining a scheduling weight factor according to the relationship between the channel quality level of the UE at the first position and the channel quality level of the UE at the second position, wherein the second position is the position where the UE is located before moving to the first position;
and determining the scheduling priority according to the scheduling weight factor.
According to the technical scheme provided by the embodiment of the invention, the base station determines the channel quality grade of the UE at the first position through the mapping relation between the position of the UE and the channel quality grade of the UE, determines the scheduling priority of the UE according to the mapping relation, and allocates resources to the UE according to the scheduling priority, so that the spectrum efficiency is improved, and the network capacity is improved.
Fig. 8 shows an architecture of a channel quality ranking apparatus provided by a further embodiment of the present invention, which includes at least one processor 902 (e.g., CPU), at least one network interface 905 or other communication interface, a memory 906, and at least one communication bus 903 for enabling connection communication between these devices. The processor 902 is configured to execute executable modules, such as computer programs, stored in the memory 906. The Memory 906 may comprise a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection with at least one other network element is realized through at least one network interface 905 (which may be wired or wireless).
In some embodiments, memory 906 stores program 9061, and processor 902 executes program 9061 to perform the following:
acquiring channel quality information of User Equipment (UE) at different positions within a coverage range of a base station;
determining a channel quality grade according to the channel quality information;
generating a mapping relation between the position of the UE and the channel quality grade;
and sending the mapping relation to a base station, so that the base station determines the scheduling priority of the UE according to the channel quality level of the UE at the first position determined by the mapping relation, and performs resource allocation on the UE according to the scheduling priority.
Optionally, the processor 902 is specifically configured to:
and generating a mapping relation between the partitions and the channel quality levels, wherein the partitions are the partitions in the coverage area of the base station.
It can be seen from the above technical solutions provided in the embodiments of the present invention that, a channel quality classification device determines a channel quality level by obtaining channel quality information of a user equipment UE at different positions within a coverage of a base station, generates a mapping relationship between a position of the UE and the channel quality level, and sends the mapping relationship to the base station, so that the base station determines a scheduling priority of the UE according to the channel quality level of the UE at a first position determined by the mapping relationship, and performs resource allocation on the UE according to the scheduling priority, thereby improving spectrum efficiency and increasing network capacity.
It should be understood that the term "and/or" herein is merely one type of association relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the unit is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method 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 (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
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 claims.

Claims (18)

  1. A method of resource allocation, the method comprising:
    acquiring a mapping relation between the position of User Equipment (UE) and a channel quality grade;
    determining the channel quality level of the UE at a first position according to the mapping relation;
    determining the scheduling priority of the UE according to the channel quality level of the UE at the first position;
    and according to the scheduling priority, carrying out resource allocation on the UE.
  2. The method of claim 1, wherein obtaining the mapping relationship between the location of the UE and the channel quality level comprises:
    acquiring channel quality information of the UE at different positions in a coverage area of a base station;
    determining the channel quality grade according to the channel quality information;
    and generating a mapping relation between the position of the UE and the channel quality grade.
  3. The method of claim 1, wherein obtaining the mapping relationship between the location of the UE and the channel quality level comprises:
    and receiving the mapping relation between the UE position and the channel quality grade sent by the channel quality grading equipment.
  4. The method according to any one of claims 1 to 3, further comprising:
    receiving first location information of the UE;
    and determining that the UE is at the first position according to the first position information.
  5. The method according to any of claims 1 to 4, wherein the mapping comprises a mapping of partitions to the channel quality levels, the partitions being partitions within the coverage of the base station.
  6. The method according to any of claims 1 to 5, wherein the determining the scheduling priority of the UE according to the channel quality level of the UE at the first location comprises:
    determining a scheduling weight factor according to the channel quality level of the UE at the first position;
    and determining the scheduling priority according to the scheduling weight factor.
  7. The method according to any of claims 1 to 5, wherein the determining the scheduling priority of the UE according to the channel quality level of the UE at the first location comprises:
    determining a scheduling weight factor according to the relationship between the channel quality level of the UE at the first position and the channel quality level of the UE at the second position, wherein the second position is the position where the UE is located before moving to the first position;
    and determining the scheduling priority according to the scheduling weight factor.
  8. A method of resource allocation, the method comprising:
    acquiring channel quality information of User Equipment (UE) at different positions within a coverage range of a base station;
    determining a channel quality grade according to the channel quality information;
    generating a mapping relation between the position of the UE and the channel quality grade;
    and sending the mapping relation to a base station so that the base station determines the scheduling priority of the UE according to the channel quality level of the UE at the first position determined by the mapping relation, and performing resource allocation on the UE according to the scheduling priority.
  9. The method of claim 8, wherein generating the mapping between the UE location and the channel quality level comprises:
    and generating a mapping relation between partitions and the channel quality grades, wherein the partitions are partitions in the coverage range of the base station.
  10. A base station, characterized in that the base station comprises:
    an obtaining module, configured to obtain a mapping relationship between a location of a User Equipment (UE) and a channel quality level;
    a first determining module, configured to determine, according to the mapping relationship obtained by the obtaining module, a channel quality level of the UE at a first location;
    a second determining module, configured to determine a scheduling priority of the UE according to the channel quality level of the UE at the first location determined by the first determining module;
    and the resource allocation module is used for allocating resources to the UE according to the scheduling priority determined by the second determination module.
  11. The base station of claim 10, wherein the obtaining module is specifically configured to:
    acquiring channel quality information of the UE at different positions in a coverage area of a base station;
    determining the channel quality grade according to the channel quality information;
    and generating a mapping relation between the position of the UE and the channel quality grade.
  12. The base station of claim 10, wherein the obtaining module is specifically configured to:
    and receiving the mapping relation between the UE position and the channel quality grade sent by the channel quality grading equipment.
  13. The base station according to any of claims 10 to 12, characterized in that the base station further comprises:
    a receiving module, configured to receive first location information of the UE;
    a third determining module, configured to determine that the UE is at the first location according to the first location information.
  14. The base station according to any of claims 10 to 13, wherein said mapping comprises a mapping of partitions to said channel quality levels, said partitions being partitions within the coverage area of said base station.
  15. The base station according to any of claims 10 to 14, wherein the second determining module is specifically configured to:
    determining a scheduling weight factor according to the channel quality level of the UE at the first position;
    and determining the scheduling priority according to the scheduling weight factor.
  16. The base station according to any of claims 10 to 14, wherein the second determining module is specifically configured to:
    determining a scheduling weight factor according to the relationship between the channel quality level of the UE at the first position and the channel quality level of the UE at the second position, wherein the second position is the position where the UE is located before moving to the first position;
    and determining the scheduling priority according to the scheduling weight factor.
  17. A channel quality ranking device of resource allocation, characterized in that the channel quality ranking device comprises:
    the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring channel quality information of User Equipment (UE) at different positions in a coverage area of a base station;
    a determining module, configured to determine a channel quality level according to the channel quality information acquired by the acquiring module;
    a generating module, configured to generate a mapping relationship between the location of the UE and the channel quality level determined by the determining module;
    a sending module, configured to send the mapping relationship generated by the generating module to a base station, so that the base station determines a scheduling priority of the UE according to the channel quality level of the UE at the first location determined by the mapping relationship, and performs resource allocation on the UE according to the scheduling priority.
  18. The device for channel quality ranking according to claim 17, wherein said generating module is specifically configured to:
    and generating a mapping relation between partitions and the channel quality grades, wherein the partitions are partitions in the coverage range of the base station.
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