CN109286936B - Discrete frequency point planning method and device - Google Patents

Discrete frequency point planning method and device Download PDF

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CN109286936B
CN109286936B CN201710592130.2A CN201710592130A CN109286936B CN 109286936 B CN109286936 B CN 109286936B CN 201710592130 A CN201710592130 A CN 201710592130A CN 109286936 B CN109286936 B CN 109286936B
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discrete frequency
frequency point
allocated
cluster
points
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CN109286936A (en
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王惠晨
杨棠
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Potevio Information Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/02Resource partitioning among network components, e.g. reuse partitioning
    • H04W16/10Dynamic resource partitioning
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/04Wireless resource allocation
    • H04W72/044Wireless resource allocation based on the type of the allocated resource
    • H04W72/0453Resources in frequency domain, e.g. a carrier in FDMA
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/52Allocation or scheduling criteria for wireless resources based on load
    • 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
    • H04W72/541Allocation or scheduling criteria for wireless resources based on quality criteria using the level of interference
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/56Allocation or scheduling criteria for wireless resources based on priority criteria
    • H04W72/563Allocation or scheduling criteria for wireless resources based on priority criteria of the wireless resources
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/56Allocation or scheduling criteria for wireless resources based on priority criteria
    • H04W72/566Allocation or scheduling criteria for wireless resources based on priority criteria of the information or information source or recipient
    • H04W72/569Allocation or scheduling criteria for wireless resources based on priority criteria of the information or information source or recipient of the traffic information
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Quality & Reliability (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention provides a discrete frequency point planning method and a device, wherein the method comprises the following steps: judging whether the discrete frequency point cluster needs discrete frequency points or not; if the discrete frequency point cluster is judged to be required by the discrete frequency point, determining the priority order of the discrete frequency points to be allocated in the discrete frequency point cluster; and selecting a discrete frequency point with the highest priority to be allocated to the discrete frequency point cluster according to the priority sequence of the discrete frequency point to be allocated in the discrete frequency point cluster. According to the discrete frequency point planning method and device, the discrete frequency point demand of the discrete frequency point cluster is obtained, according to the discrete frequency point demand of the discrete frequency point cluster, a discrete frequency point with the highest priority is selected to be allocated to the discrete frequency point cluster according to the priority sequence of the discrete frequency points to be allocated in the discrete frequency point cluster, and the discrete frequency point clusters with larger discrete frequency point demand are preferentially allocated compared with the discrete frequency point demand of different discrete frequency point clusters, so that the utilization rate of the discrete frequency point resources is improved.

Description

Discrete frequency point planning method and device
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for planning discrete frequency points.
Background
The 230MHz band includes 223.025-235.000 total 12MHz bandwidth. At present, 25kHz is used as one discrete frequency point for distribution, 480 discrete frequency points are used, wherein approximately 100 discrete frequency points are distributed to energy sources, army, weather, earthquake, water conservancy, land mine, light industry and construction by the national radio management bureau, and the rest 380 discrete frequency points are distributed by the local radio management bureau according to industry requirements and cluster intervals.
One typical application scenario is a wireless broadband access network of an electric power system, abbreviated as a TD-LTE230 network, the spectrum of which is discretely distributed in 230M frequency band, the bandwidth of which is 8.15MHz, 40 sub-bands of 25kHz are total, the sub-band of the lowest discrete frequency point is 223.525MHz, and the sub-band of the highest discrete frequency point is 231.65MHz. Fig. 1 is a schematic diagram of a frequency resource distribution of a 230MHz band of an electric power system, and as shown in fig. 1, the frequency spectrum of the electric power system is distributed in a 230M band in a discrete manner.
In the prior art, the discrete frequency point planning of the TD-LTE230 network reasonably distributes the discrete frequency points of each cell according to a networking mode, each cell distributes the same discrete frequency point in the same-frequency networking environment, and each cell staggers the discrete frequency points of different cells of PCI mod N according to the result of the PCI mod N to avoid mutual interference in the different-frequency networking environment according to the number N of different frequencies.
However, in the actual networking environment, the carrying capacity of each cell is different, the surrounding interference environment is different, the available discrete frequency points of each cell may have larger difference, the requirements of different cells on the number of the discrete frequency points and the quality of the discrete frequency points are different, the discrete frequency point planning method of the TD-LTE230 network in the prior art cannot meet the requirements, and the utilization rate of the discrete frequency point resources is not high.
Disclosure of Invention
First, the technical problem to be solved
The invention aims to provide a discrete frequency point planning method and a discrete frequency point planning device, which solve the problem that the discrete frequency point planning method in the prior art causes low utilization rate of discrete frequency point resources.
(II) technical scheme
In order to solve the above technical problems, in one aspect, the present invention provides a discrete frequency point planning method, including:
judging whether a first discrete frequency point cluster needs discrete frequency points or not, judging whether a second discrete frequency point cluster needs discrete frequency points or not, acquiring a first discrete frequency point demand of the first discrete frequency point cluster and a second discrete frequency point demand of the second discrete frequency point cluster, and comparing the first discrete frequency point demand with the second discrete frequency point demand;
if the first discrete frequency point cluster is judged to be required by the discrete frequency points and the second discrete frequency point cluster is required by the discrete frequency points, and the first discrete frequency point demand is greater than or equal to the second discrete frequency point demand, determining the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster;
and selecting a discrete frequency point with the highest priority to be allocated to the first discrete frequency point cluster according to the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster.
Further, the determining the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster specifically includes:
and determining the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster according to whether each discrete frequency point to be allocated is an authorized discrete frequency point, whether the same-frequency interference can be avoided only by being allocated to the first discrete frequency point cluster, whether the discrete frequency points are public discrete frequency points and whether the discrete frequency points to be allocated are forbidden discrete frequency points.
Further, the determining whether the first discrete frequency point cluster needs discrete frequency points specifically includes:
determining a first target discrete frequency point demand of a first discrete frequency point cluster according to the number of terminals and traffic in a cell coverage area corresponding to the first discrete frequency point cluster, judging whether the first discrete frequency point cluster needs discrete frequency points according to the first target discrete frequency point demand and the first allocated discrete frequency point quantity, if so, judging that the first target discrete frequency point demand is larger than the first allocated discrete frequency point quantity, the first discrete frequency point cluster needs discrete frequency points, and if so, judging that the first target discrete frequency point demand is smaller than or equal to the first allocated discrete frequency point quantity, the first discrete frequency point cluster does not need discrete frequency points;
the judging whether the second discrete frequency point cluster needs discrete frequency points specifically comprises:
determining a second target discrete frequency point demand of a second discrete frequency point cluster according to the number of terminals and the traffic volume in a cell coverage area corresponding to the second discrete frequency point cluster, judging whether the second discrete frequency point cluster needs discrete frequency points according to the second target discrete frequency point demand and the second allocated discrete frequency point quantity, if the second target discrete frequency point demand is judged to be larger than the second allocated discrete frequency point quantity, the second discrete frequency point cluster needs discrete frequency points, and if the second target discrete frequency point demand is judged to be smaller than or equal to the second allocated discrete frequency point quantity, the second discrete frequency point cluster does not need discrete frequency points.
Further, the obtaining the first discrete frequency point demand of the first discrete frequency point cluster specifically includes:
a1-b1=c1;
wherein a1 is a first target discrete frequency point demand of a first discrete frequency point cluster determined according to the number of terminals and the traffic volume in a cell coverage area corresponding to the first discrete frequency point cluster, b1 is a first allocated discrete frequency point quantity of the first discrete frequency point cluster, and c1 is a first discrete frequency point demand of the first discrete frequency point cluster;
the second discrete frequency point demand for obtaining the second discrete frequency point cluster specifically comprises the following steps:
a2-b2=c2;
wherein a2 is a second target discrete frequency point demand of a second discrete frequency point cluster determined according to the number of terminals and the traffic volume in a cell coverage area corresponding to the second discrete frequency point cluster, b2 is a second allocated discrete frequency point quantity of the second discrete frequency point cluster, and c2 is a second discrete frequency point demand of the second discrete frequency point cluster.
Further, the priority sequence at least comprises a first priority discrete frequency point to be allocated and a second priority discrete frequency point to be allocated, and the priority of the first priority discrete frequency point to be allocated is higher than that of the second priority discrete frequency point to be allocated;
correspondingly, according to the priority order of the discrete frequency points to be allocated in the discrete frequency point cluster, selecting a discrete frequency point with the highest priority to be allocated to the discrete frequency point cluster specifically comprises the following steps:
judging whether the number of the discrete frequency points to be allocated in the first priority is zero or not;
if the number of the discrete frequency points to be allocated of the first priority is zero, selecting a discrete frequency point to be allocated of a second priority to be allocated to the discrete frequency point cluster;
and if the number of the discrete frequency points to be allocated with the first priority is not zero, randomly selecting one discrete frequency point to be allocated with the first priority to be allocated to the discrete frequency point cluster.
In another aspect, the present invention provides a discrete frequency point planning apparatus, including:
the judging module is used for judging whether the first discrete frequency point cluster needs discrete frequency points or not, judging whether the second discrete frequency point cluster needs discrete frequency points or not, acquiring the first discrete frequency point demand of the first discrete frequency point cluster and the second discrete frequency point demand of the second discrete frequency point cluster, and comparing the first discrete frequency point demand with the second discrete frequency point demand;
the determining module is used for determining the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster if the first discrete frequency point cluster is judged to be required by the discrete frequency points and the second discrete frequency point cluster is required by the discrete frequency points and the first discrete frequency point requirement is greater than or equal to the second discrete frequency point requirement;
the allocation module is used for selecting one discrete frequency point with the highest priority to be allocated to the first discrete frequency point cluster according to the priority sequence of the discrete frequency points to be allocated in the first discrete frequency point cluster.
In yet another aspect, the present invention provides an electronic device comprising:
the device comprises a memory and a processor, wherein the processor and the memory are communicated with each other through a bus; the memory stores program instructions executable by the processor, which are called by the processor to perform the method described above.
In yet another aspect, the present invention provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the above-described method.
In yet another aspect, the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above method.
(III) beneficial effects
According to the discrete frequency point planning method and device, the discrete frequency point demand of the discrete frequency point cluster is obtained, according to the discrete frequency point demand of the discrete frequency point cluster, a discrete frequency point with the highest priority is selected to be allocated to the discrete frequency point cluster according to the priority sequence of the discrete frequency points to be allocated in the discrete frequency point cluster, the discrete frequency point demand of different discrete frequency point clusters is compared, the discrete frequency point cluster with larger discrete frequency point demand is preferentially allocated, and the allocation process is real-time and dynamic, so that the utilization rate of the discrete frequency point resource is improved.
Drawings
FIG. 1 is a schematic diagram of a 230MHz band frequency resource distribution of an electrical power system;
FIG. 2 is a schematic diagram of a discrete frequency point planning method according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method for designing discrete frequency points according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a discrete frequency point planning apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1:
fig. 2 is a schematic diagram of a discrete frequency point planning method according to an embodiment of the present invention, and as shown in fig. 2, an embodiment of the present invention provides a discrete frequency point planning method, including:
s10, judging whether a first discrete frequency point cluster needs discrete frequency points or not, judging whether a second discrete frequency point cluster needs discrete frequency points or not, acquiring a first discrete frequency point demand of the first discrete frequency point cluster and a second discrete frequency point demand of the second discrete frequency point cluster, and comparing the first discrete frequency point demand with the second discrete frequency point demand;
step S20, if the first discrete frequency point cluster is judged to need the discrete frequency points, the second discrete frequency point cluster needs the discrete frequency points, and the first discrete frequency point demand is greater than or equal to the second discrete frequency point demand, determining the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster;
and step S30, selecting a discrete frequency point with the highest priority to be allocated to the first discrete frequency point cluster according to the priority sequence of the discrete frequency points to be allocated in the first discrete frequency point cluster.
Specifically, first, it is determined whether a discrete frequency point cluster needs a discrete frequency point, where the discrete frequency point cluster may refer to a cell. It is often necessary to allocate a plurality of discrete frequency points in a cell, where the discrete frequency points form a cluster of discrete frequency points.
Then, if the discrete frequency point cluster is judged to be required by the discrete frequency point cluster, determining the priority order of the discrete frequency points to be allocated in the discrete frequency point cluster, wherein the discrete frequency points to be allocated can be all available discrete frequency points including authorized, unauthorized, public and the like, and the discrete frequency points to be allocated are not included, and the priority order is obtained by arranging the discrete frequency points to be allocated according to a preset rule from high priority to low priority. If the discrete frequency point cluster is judged to be not needed, judging whether another discrete frequency point cluster needs discrete frequency points or not again.
And then selecting a discrete frequency point with the highest priority to be allocated to the discrete frequency point cluster according to the priority order of the discrete frequency points to be allocated in the discrete frequency point cluster, wherein the allocation process is real-time and dynamic allocation.
Further, the determining whether the discrete frequency point cluster needs discrete frequency points includes: judging whether a first discrete frequency point cluster needs discrete frequency points or not, judging whether a second discrete frequency point cluster needs discrete frequency points or not, acquiring a first discrete frequency point demand of the first discrete frequency point cluster and a second discrete frequency point demand of the second discrete frequency point cluster, and comparing the first discrete frequency point demand with the second discrete frequency point demand;
if the first discrete frequency point cluster is judged to be required by the discrete frequency points and the second discrete frequency point cluster is required by the discrete frequency points, and the first discrete frequency point demand is greater than or equal to the second discrete frequency point demand, correspondingly,
determining the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster;
and selecting a discrete frequency point with the highest priority to be allocated to the first discrete frequency point cluster according to the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster.
Specifically, in a certain area range, a plurality of discrete frequency point clusters are arranged, two are taken as an example, whether a first discrete frequency point cluster needs discrete frequency points or not is judged, whether a second discrete frequency point cluster needs discrete frequency points or not is judged, a first discrete frequency point demand c1 of the first discrete frequency point cluster and a second discrete frequency point demand c2 of the second discrete frequency point cluster are obtained, and the first discrete frequency point demand c1 and the second discrete frequency point demand c2 are compared;
if the first discrete frequency point cluster is judged to be required to be obtained, the second discrete frequency point cluster is required to be obtained, and c1 is larger than c2, determining the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster;
and selecting a discrete frequency point with the highest priority to be allocated to the first discrete frequency point cluster according to the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster.
Further, the determining the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster specifically includes: and determining the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster according to whether each discrete frequency point to be allocated is an authorized discrete frequency point, whether the same-frequency interference can be avoided only by being allocated to the first discrete frequency point cluster, whether the discrete frequency points are public discrete frequency points and whether the discrete frequency points to be allocated are forbidden discrete frequency points.
Specifically, the 230MHz band includes 223.025-235.000 total 12MHz bandwidth. Currently, 25kHz is used as one discrete frequency point for distribution, 480 discrete frequency points are used, wherein approximately 100 discrete frequency points are distributed to energy sources, armies, weather, earthquakes, water conservancy, land mines, light industry and construction by the State radio administration, 8 ministry of the industry are used, the rest 380 discrete frequency points are distributed by the State radio administration according to industry requirements and cluster intervals, and some common discrete frequency points are available. The discrete frequency points authorized for the energy department are unauthorized discrete frequency points relative to the meteorological part, sometimes, under some conditions, the unauthorized discrete frequency points are allowed to be used, some discrete frequency points are different in the same-frequency interference condition received by different discrete frequency point clusters, some discrete frequency points can only be used in one discrete frequency point cluster, the same-frequency interference can exist in other discrete frequency point clusters, and then the discrete frequency points are unique relative to the discrete frequency point clusters.
Therefore, since the discrete frequency point quality of one discrete frequency point in different discrete frequency point clusters is different, depending factors of the situation are various, for example, whether the discrete frequency point to be allocated is an authorized discrete frequency point, whether the discrete frequency point to be allocated can only be allocated to the discrete frequency point cluster, the same-frequency interference can be avoided, whether the discrete frequency point to be allocated is a public discrete frequency point, whether the discrete frequency point to be allocated is a forbidden discrete frequency point, and the like, according to the factors, the discrete frequency point to be allocated can be divided into the only authorized discrete frequency point; the authorized discrete frequency points are not unique; unauthorized public discrete frequency point and uniqueness, disable discrete frequency point, 7 grades, and priority level is reduced in sequence.
Further, the determining whether the first discrete frequency point cluster needs discrete frequency points specifically includes:
determining a first target discrete frequency point demand of a first discrete frequency point cluster according to the number of terminals and traffic in a cell coverage area corresponding to the first discrete frequency point cluster, judging whether the first discrete frequency point cluster needs discrete frequency points according to the first target discrete frequency point demand and the first allocated discrete frequency point quantity, if so, judging that the first target discrete frequency point demand is larger than the first allocated discrete frequency point quantity, the first discrete frequency point cluster needs discrete frequency points, and if so, judging that the first target discrete frequency point demand is smaller than or equal to the first allocated discrete frequency point quantity, the first discrete frequency point cluster does not need discrete frequency points;
the judging whether the second discrete frequency point cluster needs discrete frequency points specifically comprises:
determining a second target discrete frequency point demand of a second discrete frequency point cluster according to the number of terminals and the traffic volume in a cell coverage area corresponding to the second discrete frequency point cluster, judging whether the second discrete frequency point cluster needs discrete frequency points according to the second target discrete frequency point demand and the second allocated discrete frequency point quantity, if the second target discrete frequency point demand is judged to be larger than the second allocated discrete frequency point quantity, the second discrete frequency point cluster needs discrete frequency points, and if the second target discrete frequency point demand is judged to be smaller than or equal to the second allocated discrete frequency point quantity, the second discrete frequency point cluster does not need discrete frequency points.
Specifically, since there are generally multiple terminals in the coverage area of the cell corresponding to the discrete frequency point cluster, and the services made by different terminals are different, for example, some terminals are performing voice services and some terminals are performing video services, the requirements of different cells on the discrete frequency points are also different.
Taking a first discrete frequency point cluster as an example, firstly, determining a first target discrete frequency point demand a1 of the first discrete frequency point cluster according to the number of terminals and the traffic volume in a cell coverage area corresponding to the first discrete frequency point cluster, wherein an acquisition method can be determined according to information reported by the terminals, the first allocated discrete frequency point quantity which is already allocated to the first discrete frequency point cluster is b1, if a1 is judged to be greater than b1, the first discrete frequency point cluster needs discrete frequency points, and if a1 is judged to be less than b1, the first discrete frequency point cluster does not need discrete frequency points.
Further, the obtaining the first discrete frequency point demand of the first discrete frequency point cluster specifically includes:
a1-b1=c1;
wherein a1 is a first target discrete frequency point demand of a first discrete frequency point cluster determined according to the number of terminals and the traffic volume in a cell coverage area corresponding to the first discrete frequency point cluster, b1 is a first allocated discrete frequency point quantity of the first discrete frequency point cluster, and c1 is a first discrete frequency point demand of the first discrete frequency point cluster;
the second discrete frequency point demand for obtaining the second discrete frequency point cluster specifically comprises the following steps:
a2-b2=c2;
wherein a2 is a second target discrete frequency point demand of a second discrete frequency point cluster determined according to the number of terminals and the traffic volume in a cell coverage area corresponding to the second discrete frequency point cluster, b2 is a second allocated discrete frequency point quantity of the second discrete frequency point cluster, and c2 is a second discrete frequency point demand of the second discrete frequency point cluster.
Specifically, for example, the target discrete frequency point demand of the first discrete frequency point cluster is 10, the allocated discrete frequency point is 4, the discrete frequency point demand of the first discrete frequency point cluster is 6, the target discrete frequency point demand of the second discrete frequency point cluster is 9, the allocated discrete frequency point is 1, the discrete frequency point demand of the second discrete frequency point cluster is 8, and because the discrete frequency point demand of the second discrete frequency point cluster is greater than the discrete frequency point demand of the first discrete frequency point cluster, when the discrete frequency points are dynamically allocated, the discrete frequency points are preferentially allocated to the second discrete frequency point cluster.
Further, the priority sequence at least comprises a first priority discrete frequency point to be allocated and a second priority discrete frequency point to be allocated, and the priority of the first priority discrete frequency point to be allocated is higher than that of the second priority discrete frequency point to be allocated;
correspondingly, according to the priority order of the discrete frequency points to be allocated in the discrete frequency point cluster, selecting a discrete frequency point with the highest priority to be allocated to the discrete frequency point cluster specifically comprises the following steps:
judging whether the number of the discrete frequency points to be allocated in the first priority is zero or not;
if the number of the discrete frequency points to be allocated of the first priority is zero, selecting a discrete frequency point to be allocated of a second priority to be allocated to the discrete frequency point cluster;
and if the number of the discrete frequency points to be allocated with the first priority is not zero, randomly selecting one discrete frequency point to be allocated with the first priority to be allocated to the discrete frequency point cluster.
Specifically, since the discrete frequency point allocation process is real-time and dynamic, one discrete frequency point is selected to be allocated to one discrete frequency point cluster in each allocation process. When the discrete frequency points to be allocated are divided into a plurality of priorities, the same priority can contain a plurality of discrete frequency points, in this embodiment, taking two priorities of only authorized discrete frequency points and not only authorized discrete frequency points as examples, if the number of the unique discrete frequency points of the authorized discrete frequency points is not zero, and if a plurality of discrete frequency points exist, the discrete frequency point clusters allocated by only one unique discrete frequency point of the authorized discrete frequency points are selected randomly preferentially, and if the number of the unique discrete frequency points of the authorized discrete frequency points is zero, the non-unique discrete frequency points of the authorized discrete frequency points are taken into consideration for allocation.
Fig. 3 is a flowchart of a discrete frequency point planning method according to an embodiment of the present invention, and as shown in fig. 3, the discrete frequency point planning method may be summarized as the following flow:
1. starting;
2. acquiring available discrete frequency points F1, F2 and F3 … of different discrete frequency point clusters;
3. classifying 480 discrete frequency points around 230MHz into 4 classes; authorizing discrete frequency points; unauthorized public discrete frequency points; unauthorized non-public discrete frequency points; disabling the discrete frequency points;
4. obtaining which of 4 categories the discrete frequency points belong to, and counting the number of each discrete frequency point in all discrete frequency point clusters;
5. according to which type of 4 kinds of classified discrete frequency points the discrete frequency points belong to, and the counted number of each discrete frequency point in all discrete frequency point clusters, prioritizing each discrete frequency point; the authorized discrete frequency point is unique; the authorized discrete frequency points are not unique; unauthorized public discrete frequency points and uniqueness, forbidden discrete frequency points and 7 grades;
6. obtaining the number of discrete frequency points a1, a2 and a3. finally needed by each discrete frequency point cluster;
7. according to the priority order, assigning authorized unique discrete frequency points to each discrete frequency point cluster preferentially
8. Comparing the final required discrete frequency point a1, a2, a3 … of each discrete frequency point cluster with the differences c1, c2, c3 … of the discrete frequency points b1, b2, b3 … which are allocated to the respective discrete frequency point clusters, namely the magnitudes of a1-b1 = c1, a2-b2 = c2, a3-b3 = c3, and when b1 < a1, b2 < a2, or b3 < a3 and when the discrete frequency point of the next priority level is a non-unique discrete frequency point, preferentially allocating the discrete frequency point of the next priority level to the discrete frequency point cluster with larger c; when the next discrete frequency point of the priority level is the unique discrete frequency point, the discrete frequency point is directly added into the discrete frequency point cluster, and the like, the method is executed until b1=a1, a2=b2 and a3=b3 or the available discrete frequency points are distributed;
9. and (5) ending.
According to the discrete frequency point planning method provided by the embodiment of the invention, the target discrete frequency point demand of the discrete frequency point cluster is determined by acquiring the number of terminals and the traffic volume in the coverage area of the cell corresponding to the discrete frequency point cluster, the discrete frequency point demand of the discrete frequency point cluster is determined by the allocated discrete frequency point quantity, one discrete frequency point with the highest priority is selected to be allocated to the discrete frequency point cluster according to the priority order of the discrete frequency points to be allocated in the discrete frequency point cluster according to the discrete frequency point demand of the discrete frequency point cluster, the discrete frequency point demand of different discrete frequency point clusters is compared, the discrete frequency point cluster with larger discrete frequency point demand is preferentially allocated, and the allocation process is real-time and dynamic, so that the utilization rate of the discrete frequency point resource is improved.
Example 2:
this embodiment is substantially the same as embodiment 1, and for brevity of description, in the description of this embodiment, the same technical features as embodiment 1 will not be described, and only the differences between this embodiment and embodiment 1 will be described.
Fig. 4 is a schematic diagram of a discrete frequency point planning apparatus according to an embodiment of the present invention, and as shown in fig. 4, an embodiment of the present invention provides a discrete frequency point planning apparatus, including: a judgment module 10, a determination module 20, and an allocation module 30, wherein,
the judging module 10 is configured to judge whether a first discrete frequency point cluster needs a discrete frequency point, judge whether a second discrete frequency point cluster needs a discrete frequency point, obtain a first discrete frequency point demand of the first discrete frequency point cluster and a second discrete frequency point demand of the second discrete frequency point cluster, and compare the first discrete frequency point demand and the second discrete frequency point demand;
the determining module 20 is configured to determine a priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster if it is determined that the first discrete frequency point cluster needs discrete frequency points and the second discrete frequency point cluster needs discrete frequency points and the first discrete frequency point demand is greater than or equal to the second discrete frequency point demand;
the allocation module 30 is configured to select, according to the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster, a discrete frequency point with the highest priority to be allocated to the first discrete frequency point cluster.
Specifically, first, the determining module 10 determines whether the discrete frequency point cluster needs discrete frequency points, where the discrete frequency point cluster may refer to a cell. It is often necessary to allocate a plurality of discrete frequency points in a cell, where the discrete frequency points form a cluster of discrete frequency points.
Then, if the determining module 20 knows that the discrete frequency point cluster needs discrete frequency points, determining a priority order of the discrete frequency points to be allocated in the discrete frequency point cluster, where the discrete frequency points to be allocated may be all available discrete frequency points and not include the already allocated discrete frequency points, and the priority order is obtained by arranging the discrete frequency points to be allocated according to a preset rule from high priority to low priority. If the discrete frequency point cluster is judged to be not needed, judging whether another discrete frequency point cluster needs discrete frequency points or not again.
Then, the allocation module 30 selects a discrete frequency point with the highest priority to be allocated to the discrete frequency point cluster according to the priority order of the discrete frequency points to be allocated in the discrete frequency point cluster, and the allocation process is real-time and dynamic allocation.
Meanwhile, in a certain area range, a plurality of discrete frequency point clusters are arranged, two are taken as an example, whether a first discrete frequency point cluster needs discrete frequency points or not is judged, whether a second discrete frequency point cluster needs discrete frequency points or not is judged, the first discrete frequency point demand c1 of the first discrete frequency point cluster and the second discrete frequency point demand c2 of the second discrete frequency point cluster are obtained, and the first discrete frequency point demand c1 and the second discrete frequency point demand c2 are compared;
if the first discrete frequency point cluster is judged to be required to be obtained, the second discrete frequency point cluster is required to be obtained, and c1 is larger than c2, determining the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster;
selecting a discrete frequency point with the highest priority to be allocated to the first discrete frequency point cluster according to the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster
According to the discrete frequency point planning device provided by the embodiment of the invention, the target discrete frequency point demand of the discrete frequency point cluster is determined by acquiring the number of terminals and the traffic volume in the coverage area of the cell corresponding to the discrete frequency point cluster, the discrete frequency point demand of the discrete frequency point cluster is determined by the allocated discrete frequency point quantity, one discrete frequency point with the highest priority is selected to be allocated to the discrete frequency point cluster according to the priority order of the discrete frequency points to be allocated in the discrete frequency point cluster according to the discrete frequency point demand of the discrete frequency point cluster, the discrete frequency point demand of different discrete frequency point clusters is compared, the discrete frequency point cluster with larger discrete frequency point demand is preferentially allocated, and the allocation process is real-time and dynamic, so that the utilization rate of the discrete frequency point resource is improved.
Example 3:
this embodiment is substantially the same as embodiment 1, and for brevity of description, in the description of this embodiment, the same technical features as embodiment 1 will not be described, and only the differences between this embodiment and embodiment 1 will be described.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, as shown in fig. 5, where the device includes: a processor (processor) 801, a memory (memory) 802, and a bus 803;
wherein the processor 801 and the memory 802 perform communication with each other through the bus 803;
the processor 801 is configured to invoke program instructions in the memory 802 to perform the methods provided by the above-described method embodiments, including, for example: judging whether a first discrete frequency point cluster needs discrete frequency points or not, judging whether a second discrete frequency point cluster needs discrete frequency points or not, acquiring a first discrete frequency point demand of the first discrete frequency point cluster and a second discrete frequency point demand of the second discrete frequency point cluster, and comparing the first discrete frequency point demand with the second discrete frequency point demand;
if the first discrete frequency point cluster is judged to be required by the discrete frequency points and the second discrete frequency point cluster is required by the discrete frequency points, and the first discrete frequency point demand is greater than or equal to the second discrete frequency point demand, determining the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster;
and selecting a discrete frequency point with the highest priority to be allocated to the first discrete frequency point cluster according to the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster.
Example 4:
this embodiment is substantially the same as embodiment 1, and for brevity of description, in the description of this embodiment, the same technical features as embodiment 1 will not be described, and only the differences between this embodiment and embodiment 1 will be described.
Embodiments of the present invention disclose a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the methods provided by the method embodiments described above, for example comprising: judging whether a first discrete frequency point cluster needs discrete frequency points or not, judging whether a second discrete frequency point cluster needs discrete frequency points or not, acquiring a first discrete frequency point demand of the first discrete frequency point cluster and a second discrete frequency point demand of the second discrete frequency point cluster, and comparing the first discrete frequency point demand with the second discrete frequency point demand;
if the first discrete frequency point cluster is judged to be required by the discrete frequency points and the second discrete frequency point cluster is required by the discrete frequency points, and the first discrete frequency point demand is greater than or equal to the second discrete frequency point demand, determining the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster;
and selecting a discrete frequency point with the highest priority to be allocated to the first discrete frequency point cluster according to the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster.
Example 5:
this embodiment is substantially the same as embodiment 1, and for brevity of description, in the description of this embodiment, the same technical features as embodiment 1 will not be described, and only the differences between this embodiment and embodiment 1 will be described.
Embodiments of the present invention provide a non-transitory computer readable storage medium storing computer instructions that cause a computer to perform the methods provided by the above-described method embodiments, for example, including: judging whether a first discrete frequency point cluster needs discrete frequency points or not, judging whether a second discrete frequency point cluster needs discrete frequency points or not, acquiring a first discrete frequency point demand of the first discrete frequency point cluster and a second discrete frequency point demand of the second discrete frequency point cluster, and comparing the first discrete frequency point demand with the second discrete frequency point demand;
if the first discrete frequency point cluster is judged to be required by the discrete frequency points and the second discrete frequency point cluster is required by the discrete frequency points, and the first discrete frequency point demand is greater than or equal to the second discrete frequency point demand, determining the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster;
and selecting a discrete frequency point with the highest priority to be allocated to the first discrete frequency point cluster according to the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware associated with program instructions, where the foregoing program may be stored in a computer readable storage medium, and when executed, the program performs steps including the above method embodiments; and the aforementioned storage medium includes: various media that can store program code, such as ROM, RAM, magnetic or optical disks.
The embodiments of the apparatus and devices described above are merely illustrative, wherein the elements described as separate elements may or may not be physically separate, and elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (8)

1. A method of discrete frequency point planning, comprising:
judging whether a first discrete frequency point cluster needs discrete frequency points or not, judging whether a second discrete frequency point cluster needs discrete frequency points or not, acquiring a first discrete frequency point demand of the first discrete frequency point cluster and a second discrete frequency point demand of the second discrete frequency point cluster, and comparing the first discrete frequency point demand with the second discrete frequency point demand;
if the first discrete frequency point cluster is judged to be required by the discrete frequency points and the second discrete frequency point cluster is required by the discrete frequency points, and the first discrete frequency point demand is greater than or equal to the second discrete frequency point demand, determining the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster;
and selecting a discrete frequency point with the highest priority to be allocated to the first discrete frequency point cluster according to the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster.
2. The method according to claim 1, wherein the determining the order of priority of the discrete frequency points to be allocated in the first discrete frequency point cluster specifically comprises:
and determining the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster according to whether each discrete frequency point to be allocated is an authorized discrete frequency point, whether the same-frequency interference can be avoided only by being allocated to the first discrete frequency point cluster, whether the discrete frequency points are public discrete frequency points and whether the discrete frequency points to be allocated are forbidden discrete frequency points.
3. The method of claim 1, wherein the determining whether the first discrete frequency point cluster requires discrete frequency points is specifically:
determining a first target discrete frequency point demand of a first discrete frequency point cluster according to the number of terminals and traffic in a cell coverage area corresponding to the first discrete frequency point cluster, judging whether the first discrete frequency point cluster needs discrete frequency points according to the first target discrete frequency point demand and the first allocated discrete frequency point quantity, if so, judging that the first target discrete frequency point demand is larger than the first allocated discrete frequency point quantity, the first discrete frequency point cluster needs discrete frequency points, and if so, judging that the first target discrete frequency point demand is smaller than or equal to the first allocated discrete frequency point quantity, the first discrete frequency point cluster does not need discrete frequency points;
the judging whether the second discrete frequency point cluster needs discrete frequency points specifically comprises:
determining a second target discrete frequency point demand of a second discrete frequency point cluster according to the number of terminals and the traffic volume in a cell coverage area corresponding to the second discrete frequency point cluster, judging whether the second discrete frequency point cluster needs discrete frequency points according to the second target discrete frequency point demand and the second allocated discrete frequency point quantity, if the second target discrete frequency point demand is judged to be larger than the second allocated discrete frequency point quantity, the second discrete frequency point cluster needs discrete frequency points, and if the second target discrete frequency point demand is judged to be smaller than or equal to the second allocated discrete frequency point quantity, the second discrete frequency point cluster does not need discrete frequency points.
4. The method of claim 1, wherein the obtaining the first discrete frequency point requirement of the first discrete frequency point cluster is specifically:
a1-b1=c1;
wherein a1 is a first target discrete frequency point demand of a first discrete frequency point cluster determined according to the number of terminals and the traffic volume in a cell coverage area corresponding to the first discrete frequency point cluster, b1 is a first allocated discrete frequency point quantity of the first discrete frequency point cluster, and c1 is a first discrete frequency point demand of the first discrete frequency point cluster;
the second discrete frequency point demand for obtaining the second discrete frequency point cluster specifically comprises the following steps:
a2-b2=c2;
wherein a2 is a second target discrete frequency point demand of a second discrete frequency point cluster determined according to the number of terminals and the traffic volume in a cell coverage area corresponding to the second discrete frequency point cluster, b2 is a second allocated discrete frequency point quantity of the second discrete frequency point cluster, and c2 is a second discrete frequency point demand of the second discrete frequency point cluster.
5. The method according to any one of claims 1-4, wherein the priority order comprises at least a first priority discrete frequency point to be allocated and a second priority discrete frequency point to be allocated, and the priority of the first priority discrete frequency point to be allocated is higher than the priority of the second priority discrete frequency point to be allocated;
correspondingly, according to the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster, selecting a discrete frequency point with the highest priority to be allocated to the first discrete frequency point cluster specifically comprises the following steps:
judging whether the number of the discrete frequency points to be allocated in the first priority is zero or not;
if the number of the discrete frequency points to be allocated with the first priority is zero, selecting a discrete frequency point to be allocated with the second priority to be allocated to the first discrete frequency point cluster;
and if the number of the discrete frequency points to be allocated with the first priority is not zero, randomly selecting one discrete frequency point to be allocated with the first priority to be allocated to the first discrete frequency point cluster.
6. A discrete frequency point planning apparatus, comprising:
the judging module is used for judging whether the first discrete frequency point cluster needs discrete frequency points or not, judging whether the second discrete frequency point cluster needs discrete frequency points or not, acquiring the first discrete frequency point demand of the first discrete frequency point cluster and the second discrete frequency point demand of the second discrete frequency point cluster, and comparing the first discrete frequency point demand with the second discrete frequency point demand;
the determining module is used for determining the priority order of the discrete frequency points to be allocated in the first discrete frequency point cluster if the first discrete frequency point cluster is judged to be required by the discrete frequency points and the second discrete frequency point cluster is required by the discrete frequency points and the first discrete frequency point requirement is greater than or equal to the second discrete frequency point requirement;
the allocation module is used for selecting one discrete frequency point with the highest priority to be allocated to the first discrete frequency point cluster according to the priority sequence of the discrete frequency points to be allocated in the first discrete frequency point cluster.
7. An electronic device, comprising:
the device comprises a memory and a processor, wherein the processor and the memory are communicated with each other through a bus; the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1-5.
8. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method according to any one of claims 1 to 5.
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