CN109548161B - Method, device and terminal equipment for scheduling wireless resources - Google Patents
Method, device and terminal equipment for scheduling wireless resources Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/56—Allocation or scheduling criteria for wireless resources based on priority criteria
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/56—Allocation or scheduling criteria for wireless resources based on priority criteria
- H04W72/566—Allocation or scheduling criteria for wireless resources based on priority criteria of the information or information source or recipient
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/53—Allocation or scheduling criteria for wireless resources based on regulatory allocation policies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/535—Allocation or scheduling criteria for wireless resources based on resource usage policies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
- H04W72/542—Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention is applicable to the technical field of wireless communication, and provides a method and a device for scheduling wireless resources, wherein the method comprises the following steps: acquiring the scheduling priority of each device to be scheduled in a plurality of devices to be scheduled; sequencing the plurality of devices to be scheduled from high to low according to the scheduling priority, and taking a preset number of the devices to be scheduled which are sequenced at the top as initial clustering point devices; taking the equipment to be scheduled which is not taken as the initial clustering point equipment as equipment to be clustered; clustering the equipment to be clustered to the initial clustering point equipment with the closest distance to form a cluster; and updating the coordinate value of each cluster in an iterative manner, and scheduling the wireless resources of the equipment to be scheduled when the coordinate value of each cluster is not changed or reaches the maximum iteration times. Clustering clusters formed by the devices to be scheduled with similar priorities, scheduling wireless resources according to the formed clusters, and considering fairness under the condition of ensuring the service quality of each device to be scheduled.
Description
Technical Field
The present invention belongs to the technical field of wireless communication, and in particular, to a method, an apparatus, and a terminal device for scheduling wireless resources.
Background
With the advent of 5G technology, fifth generation mobile communication technology. However, unlike 4G, 3G and 2G, 5G is not an independent and new radio access technology, but is a generic term for the technology evolution of the existing radio access technologies (including 2G, 3G, 4G and WiFi) and some newly added complementary solutions after the radio access technology is integrated. In a 5G system, there will be multiple standards, and multiple formats of user equipment exist, such as 4G, 5G, wifi, or satellite communication. Meanwhile, the service types of the user equipments with different standards and systems are also different, such as video service, live broadcast service, game service, etc., and the data transmission delay caused by different lengths of service data packets of each user equipment and different channel environments of each user equipment is different, which causes the problem of fairness in user scheduling.
The traditional solution is to analyze and simulate the system based on domain knowledge and experience, thereby formulating targeted rules. The effect of this method depends mainly on the design stage, once the design is completed, the system will operate according to the preset rules. In the current network environment, the traffic presents the development trend of diversification and dynamism, and the architecture of the network and the resource becomes more complex, so the method faces more and more challenges and cannot meet the communication requirement under the complex network and resource architecture.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method for scheduling radio resources and a terminal device, so as to solve the problem of predicting battery health in the prior art.
A first aspect of an embodiment of the present invention provides a method for scheduling radio resources, including:
acquiring the scheduling priority of each device to be scheduled in a plurality of devices to be scheduled;
sequencing the plurality of devices to be scheduled from high to low according to the scheduling priority, taking a preset number of the devices to be scheduled which are sequenced at the top as initial clustering point devices, and taking the devices to be scheduled which are not taken as the initial clustering point devices as the devices to be clustered;
clustering the equipment to be clustered to the initial clustering point equipment with the closest distance to form a cluster;
and updating the coordinate value of each cluster in an iterative manner, and scheduling the wireless resources of the equipment to be scheduled when the coordinate value of each cluster is not changed or reaches the maximum iteration times.
A second aspect of an embodiment of the present invention provides an apparatus for scheduling radio resources, including:
the device comprises an acquisition unit, a scheduling unit and a scheduling unit, wherein the acquisition unit is used for acquiring the scheduling priority of each device to be scheduled in a plurality of devices to be scheduled;
the selection unit is used for sequencing the plurality of devices to be scheduled from high to low according to the scheduling priority, taking a preset number of devices to be scheduled which are sequenced at the top as initial clustering point devices, and taking the devices to be scheduled which are not taken as the initial clustering point devices as the devices to be clustered;
the clustering unit is used for clustering the equipment to be clustered to the initial clustering point equipment with the closest distance to form clusters;
and the calculating and scheduling unit is used for updating the coordinate value of each cluster in an iterative manner, and when the coordinate value of each cluster is not changed or reaches the maximum iteration number, scheduling the wireless resource of the equipment to be scheduled.
A third aspect of embodiments of the present invention provides a terminal device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the method according to the first aspect and/or the second aspect when executing the computer program.
A fourth aspect of embodiments of the present invention provides a computer-readable storage medium, which stores a computer program that, when executed by a processor, implements the steps of the method of the first and/or second aspect.
Compared with the prior art, the embodiment of the invention has the following beneficial effects: and according to the channel environment, the service data length and the average transmission delay of each device to be scheduled in the system device to be scheduled, calculating the scheduling priority of each device to be scheduled, selecting a preset number of devices to be scheduled as initial clustering point devices, and clustering other devices to be scheduled in the device to be scheduled. The user equipment with different time delays is intelligently selected to be scheduled, the service quality of each user equipment service is ensured, fairness can be considered, and users with different time delays in different channel environments and different data lengths can fairly obtain transmission opportunities.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the embodiments or the prior art description 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 for those skilled in the art, other drawings may be obtained according to these drawings without inventive labor.
Fig. 1 is a flowchart illustrating a method for scheduling radio resources according to an embodiment of the present invention;
fig. 2 is a schematic flowchart illustrating an implementation flow of step 101 in a method for scheduling radio resources according to an embodiment of the present invention;
fig. 3 is a schematic flowchart illustrating an implementation flow of step S103 in a method for scheduling radio resources according to an embodiment of the present invention;
fig. 4 is a schematic flowchart illustrating an implementation flow of step S301 in a method for scheduling radio resources according to an embodiment of the present invention;
fig. 5 is a schematic flowchart illustrating an implementation flow of step S104 in a method for scheduling radio resources according to an embodiment of the present invention;
fig. 6 is a schematic diagram of an apparatus for scheduling radio resources according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a radio resource scheduling apparatus/terminal device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items and includes such combinations.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
The wireless communication according to the present invention is a communication method for exchanging information by using a characteristic that an electromagnetic wave signal can propagate in a free space. In order to solve the fairness problem of multi-user scheduling in a complex network environment, the present invention provides a method for scheduling wireless resources, and please refer to fig. 1, where fig. 1 is a flowchart for implementing the method for scheduling wireless resources according to an embodiment of the present invention. A method for scheduling radio resources as shown in fig. 1 includes:
s101, obtaining the scheduling priority of each device to be scheduled in a plurality of devices to be scheduled.
The device to be scheduled includes, but is not limited to, a communication device such as a mobile terminal. The priority refers to the priority order of the multiple devices to be scheduled. And in a scheduling period of the communication system, training the multiple devices to be scheduled according to the channel environments, the service data lengths and the average transmission delays of all the devices to be scheduled of the communication system, obtaining respective scheduling priorities, and sequencing according to the priorities.
For example, in a scheduling period, if the channel condition of the device to be scheduled is good, the transmission delay of the device to be scheduled is also small, so that the priority of the device to be scheduled is increased; if the channel condition of the equipment to be scheduled is poor, the signal-to-noise ratio is low for a long time, and the transmission opportunity cannot be obtained, the average transmission delay of the equipment to be scheduled is increased, the priority of the equipment to be scheduled is also improved, and the transmission opportunity is obtained. When a long packet user gets more service than a short packet user, the average transmission delay of the short packet user will be increased, and the priority of the short packet user will also be increased to get a transmission opportunity. The equipment to be scheduled with high priority preferentially schedules wireless resources to ensure the communication quality of the equipment, and the equipment to be scheduled with lower priority needs to wait for the completion of the scheduling of the equipment to be scheduled with high priority and then performs the scheduling of the wireless resources.
S102, sequencing the plurality of devices to be scheduled from high to low according to the scheduling priority, taking a preset number of devices to be scheduled which are sequenced at the top as initial clustering point devices, and taking the devices to be scheduled which are not taken as the initial clustering point devices as the devices to be clustered.
The initial clustering point device refers to the device to be scheduled corresponding to the clustering point selected before the device to be scheduled is clustered. And the selection of the preset number of the initial clustering point devices is determined according to different clustering algorithms or human, and the devices to be scheduled in the clustering set are classified into the classes of the preset number. In the invention, for the selection of the initial clustering point device, the devices to be scheduled with a preset number and a high priority are selected according to the priority sequence in the multiple devices to be scheduled. Clustering is a process of dividing a set of physical or abstract objects into a plurality of classes composed of similar objects, and is called clustering, and clusters generated by clustering are a set of data objects, which are similar to objects in the same cluster and different from objects in other clusters. In this embodiment, devices to be scheduled with similar channel environments, service data lengths, and average transmission delays are clustered into the same cluster, that is, devices to be scheduled with similar priorities are clustered together.
S103, clustering the devices to be clustered to the initial clustering point device closest to the devices to be clustered to form clusters.
And according to the initial clustering point obtained in the step S102, calculating the distance between the equipment to be clustered and the initial clustering point equipment by taking the waiting transmission delay and the average transmission delay of the equipment to be clustered as coordinate values. And clustering the devices to be clustered to the initial clustering point device closest to the devices to be clustered to form clusters. The cluster is a set of a plurality of devices to be scheduled with similar priority levels formed after the plurality of devices to be scheduled are clustered, and is called a cluster. And after the clusters are formed, scheduling the wireless resources for the equipment to be scheduled according to the clusters formed by clustering.
And S104, updating the coordinate value of each cluster in an iterative manner, and scheduling the wireless resources of the equipment to be scheduled when the coordinate value of each cluster is not changed or reaches the maximum iteration times.
The coordinate value of each cluster refers to the average value of the coordinate values of all the devices to be scheduled in the cluster formed by clustering the devices to be scheduled in step S103.
Wherein, the coordinate value iteration updating of each cluster comprises two repeated steps:
the method comprises the following steps: the coordinate value of each cluster obtained by each iterative computation is replaced with the coordinate value of each cluster obtained by the last iterative computation to form a new clustering point.
Step two: and according to the coordinate value of the new clustering point, re-clustering the equipment to be scheduled to the clustering point closest to the equipment to be scheduled to form a new cluster.
And realizing the iterative update of the coordinate values of the clusters through the first step and the second step. In the invention, a new cluster is obtained for each clustering, a clustering point coordinate value is calculated by using the new cluster, the equipment to be scheduled is clustered to the closest clustering point by using the new clustering point coordinate value to form a new cluster, and the coordinate value of each cluster is updated by the same way until the coordinate value of each cluster is not changed or the maximum iteration number is reached, thus completing the clustering.
And when the coordinate value of each cluster is not changed or the maximum iteration number is reached, scheduling the wireless resources for the equipment to be scheduled according to the priority sequence obtained in the step S101. The equipment to be scheduled with high priority preferentially schedules wireless resources to ensure the communication quality of the equipment, and the equipment to be scheduled with lower priority needs to wait for the completion of the scheduling of the equipment to be scheduled with high priority and then performs the scheduling of the wireless resources. The radio resources include, but are not limited to, frequency, power, time, space, code resources, etc. communication resources. The scheduling is a distribution principle of wireless communication resources, particularly provides service quality guarantee for wireless equipment to be scheduled in a network under the condition of limited bandwidth, and has the basic starting point of flexibly distributing and dynamically adjusting available resources of a wireless transmission part and the network under the conditions of uneven network traffic distribution, fluctuating channel characteristics due to channel attenuation and interference and the like, so that the utilization rate of a wireless frequency spectrum is improved to the maximum extent.
In the embodiment of the invention, the priority of the equipment to be scheduled is obtained according to the channel environment, the service data length and the transmission delay of the equipment to be scheduled, the equipment to be scheduled with similar priority is clustered, and then the wireless resources are scheduled for the equipment to be scheduled in each cluster according to the priority of each cluster, thereby ensuring the fairness of resource distribution under limited wireless resources.
Optionally, step S101 in the embodiment shown in fig. 1 is specifically implemented by following steps S201 to S207, please refer to fig. 2, and fig. 2 is a schematic view of an implementation flow of step S101 in a method for scheduling radio resources according to an embodiment of the present invention. As shown in fig. 2, step S101 includes:
s201, obtaining a channel equalization matrix of each device to be scheduled.
The channel equalization refers toEqualization of channel characteristics, i.e., an equalizer at a receiving end generates characteristics opposite to the channel characteristics, to reduce or eliminate inter-symbol interference caused by time-varying multipath propagation characteristics of a channel. The channel equalization is realized by an equalizer in a terminal receiver, including an MMSE receiver, a CCMC receiver, etc., but the present invention adopts an MMSE receiver, which is not limited herein. For an MMSE receiver, the channel equalization matrix of each of the devices to be scheduled in this embodiment may be a function of
Obtaining a channel equalization matrix of each device to be scheduled, wherein H p A matrix of channels is represented which,
a conjugate matrix representing a channel matrix, I an identity matrix, and Es a received power.
And S202, obtaining the sending signal of each device to be scheduled according to the channel equalization matrix.
Obtaining a channel equalization matrix of each device to be scheduled according to step S201, and performing a function formula:
obtaining a channel-equalized transmission signal of each of the devices to be scheduled, wherein
Denotes transmission power, r denotes a received signal, n denotes noise, and s denotes a transmission signal.
S203, obtaining the signal-to-noise ratio of each device to be scheduled according to the sending signal.
The signal-to-noise ratio refers to the ratio of signal to noise in an electronic device or system. The signal therein refers to an electronic signal from outside of the device to be processed by the device, the noise refers to an irregular extra signal (or information) which does not exist in the original signal generated after passing through the device, and the signal does not change with the change of the original signalAnd (4) transforming. The signal-to-noise ratio is calculated in the embodiment to determine the communication quality of each device to be scheduled in the scheduling set. The signal-to-noise ratios of the multiple devices to be scheduled can be obtained according to the sending signals of the multiple devices to be scheduled, which are subjected to channel equalization, obtained in step S202, so that the ratio of the sending signal power to the noise power is obtained, and the signal-to-noise ratios are expressed by a function of the signal-to-noise ratios
Obtaining signal-to-noise ratios of the plurality of devices to be scheduled in a scheduling set, wherein
Representing the mth row of the matrix G, wherein the mth maximum value is the number of the communication system antennas, the nmax value is the number of the multiple equipment antennas to be scheduled, h n,m Representation matrix H P M column of (1), h n,j Representation matrix H P J is not equal to m, N 0 Representing the noise power spectral density.
S204, obtaining the transmission rate of the equipment to be scheduled according to the signal-to-noise ratio.
The transmission rate refers to how much data is transmitted per unit time. The transmission rate of each device to be scheduled in the scheduling set of this embodiment may be obtained according to the signal-to-noise ratio of each device to be scheduled obtained in step S203, and is calculated by the functional formula: r = log 2 (1+γ n,m ) And obtaining the transmission rate of each device to be scheduled.
S205, obtaining the service data length of each device to be scheduled, and obtaining the transmission waiting delay of each device to be scheduled according to the transmission rate of each device to be scheduled.
The service data length refers to the data length of various communication services provided by wireless communication, and the service data length can obtain corresponding data through a communication system. The waiting transmission delay refers to the delay generated when the device to be scheduled waits for the system to schedule the wireless resources under the condition of limited bandwidth. In this embodiment, it is assumed that the service data length of the current device to be scheduled is F i Where i represents the ith device to be scheduled in the scheduling set, and imaxThe large value is the number of the devices to be scheduled, and the transmission waiting delay of each device to be scheduled in this embodiment may be determined according to the transmission rate of each device to be scheduled in step S204 by a functional formula:
obtaining the waiting transmission delay of each device to be scheduled, wherein F j And R j And the system selects the service data length and the transmission rate of the jth device to be scheduled in the multiple devices to be scheduled, j is not equal to i, and the maximum value of j is the number of the devices to be scheduled.
And S206, acquiring and dynamically updating the average transmission delay of each device to be scheduled according to the transmission delay waiting of each device to be scheduled.
The transmission delay refers to the time generated when the transmission does not reach the destination end on time due to the fact that the distance to be passed is long or some faults occur in the information transmission process. The average transmission delay described in this embodiment refers to an average time generated by a certain device to be scheduled from sending a signal to receiving a signal at a destination. Obtaining the waiting transmission delay of the device to be scheduled according to the step S205, and performing a function formula:
obtaining and dynamically updating the average transmission delay of each device to be scheduled, wherein T represents a time constant,
the average transmission delay of each device to be scheduled is shown,
and the average transmission delay of each device to be scheduled at the time point t is shown.
S207, according to the average transmission delay of each device to be scheduled, obtaining the scheduling priority of each device to be scheduled.
Obtaining each of the devices to be scheduled according to steps S205 and S206The standby waiting transmission delay and the average transmission delay are calculated according to the functional formula:
and obtaining the scheduling priority of each device to be scheduled.
In the embodiment of the invention, the priority of the equipment to be scheduled is obtained according to the channel environment, the service data length and the transmission delay of the equipment to be scheduled, so as to provide a basis for the subsequent clustering of the equipment to be clustered.
Optionally, on the basis of the embodiment shown in fig. 2, step S203 in the embodiment shown in fig. 1 is specifically implemented by following steps S301 to S303, please refer to fig. 3, and fig. 3 is a schematic view illustrating an implementation flow of step S103 in a method for scheduling radio resources according to an embodiment of the present invention. As shown in fig. 3, step S103 includes:
s301, delaying the waiting transmission of each device to be scheduled by T i And said average transmission delay
And combining the coordinate values.
In step S207, the acquired priority level calculates the priority level according to the waiting transmission delay and the average transmission delay of each device to be scheduled. The equipment to be scheduled has mobility, and due to the influence of factors such as channel environment, service data length and the like, the priority of the equipment to be scheduled which is adjacent to the actual distance is not related. Therefore, the embodiment delays T through the waiting transmission of each device to be scheduled i And average transmission delay T i And calculating the priority similarity distance between each device to be scheduled and the initial clustering point device as a coordinate value.
Specifically, as shown in fig. 4, fig. 4 is a schematic flowchart illustrating an implementation flow of step S301 in a method for scheduling radio resources according to an embodiment of the present invention, where step S301 includes steps S401 to S402:
s401, generating a coordinate value of each initial clustering point device.
Waiting transmission according to initial clustering point deviceAnd delaying and averagely transmitting the delay to generate a coordinate value of the initial clustering point device. Recording the coordinate value of each initial clustering point device as
Wherein the k maximum is the initial cluster point device number. T is k-1 The waiting transmission delay of the initial cluster point device,
the average transmission delay of the initial clustering point device.
S402, generating coordinate values of each device to be clustered.
And generating a coordinate value of the initial clustering point device according to the waiting transmission delay and the average transmission delay of the device to be clustered. Recording the coordinate value of each device to be clustered as
Where p is the number of devices to be scheduled, T p-1 For the waiting transmission delay of the device to be clustered,
the average transmission delay of the devices to be clustered is obtained.
S302, respectively calculating the distance between each device to be clustered and each initial clustering point device.
It should be noted that, the distance referred to in this embodiment is not a real distance between the device to be clustered and the initial clustering point device, but is a priority acquaintance distance using the waiting transmission delay and the average transmission delay between a plurality of devices to be scheduled as coordinates, which includes, but is not limited to, an euclidean distance and a manhattan distance. The waiting transmission delay and the average transmission delay are the basis for calculating the priority of the equipment to be scheduled, so that the calculation of the coordinate value is actually to calculate the equipment to be clustered with similar priority, and a basis is provided for clustering between the subsequent equipment to be clustered and the initial clustering point equipment.
As an embodiment of the present invention, the distance is an euclidean distance. Specifically, the euclidean distance is calculated using the following formula:
and obtaining the distance between the equipment to be clustered in the dispatching set and the initial clustering point equipment according to the formula.
And S303, clustering each device to be clustered to the initial clustering point device closest to the device to be clustered according to the calculation result of the distance to form a cluster.
The device to be clustered is clustered to the initial clustering point device which is closest to the device to be clustered, and the closest distance represents that the priority of the device to be clustered is similar to that of the initial clustering point device, so that each formed cluster is also a group of device to be scheduled with similar priority.
In the embodiment of the invention, the devices to be scheduled with similar priority levels are clustered according to the priority levels, so as to provide a basis for wireless resource scheduling.
Optionally, on the basis of the embodiment shown in fig. 3, in the embodiment shown in fig. 1, step S104, as shown in fig. 5, fig. 5 is a schematic view of an implementation flow of step S104 in the method for scheduling radio resources provided by the embodiment of the present invention, and includes steps S501 to S502.
And S501, iteratively calculating the coordinate value of each cluster.
By the functional formula: t is i ′＝∑T m M (M =1,2,. Multidot., M) and
obtaining a coordinate value of each cluster, wherein M represents the number of the devices to be scheduled included in each cluster, T m Representing the mth waiting transmission delay in each cluster,
represents the mth average transmission delay in each cluster, M being an integer and the maximum value being M.
S502, the coordinate values obtained by each iterative computation are replaced by the coordinate values obtained by the last iterative computation, and the wireless resources of the equipment to be scheduled are scheduled until the coordinate values of each cluster are not changed or the maximum iterative times are reached.
And when the coordinate value of each cluster is not changed or the maximum iteration number is reached in the iterative calculation, representing that all the devices to be scheduled with similar priority levels finish clustering to form a plurality of clusters. And scheduling the wireless resources of the equipment to be scheduled according to the size of the priority of each cluster. The fairness of wireless resource scheduling is ensured while the communication quality is ensured.
In the embodiment of the invention, according to the k-means algorithm and the pre-selected initial clustering point equipment, the clustering result of the k-means algorithm is ensured to be divided according to the fairness, the problem of local optimal solution caused by randomly selecting the initial clustering point is avoided, and the fairness problem of wireless resource scheduling is increased.
It should be noted that, in this embodiment, the conventional k-means is improved, and since the conventional k-means algorithm is very sensitive to the selection of the initial centroid, a local optimal solution may be caused, and a global optimal solution cannot be obtained, in order to overcome this problem, the conventional k-means algorithm is improved in this embodiment, in steps S201 to S207, according to the channel environments of all the devices to be scheduled in the system, the service data length, and the average transmission delay, the scheduling priority order of the devices to be scheduled is calculated, and a preset number of devices to be scheduled are selected as the initial clustering points. And clustering the equipment to be scheduled which is not selected as the initial clustering point equipment in the scheduling set according to a traditional k-means algorithm, wherein the cluster does not change or reaches the maximum iteration times, and completing the scheduling of the wireless resources of the equipment to be scheduled. The problem of local optimal solution caused by random selection of initial clustering points in the traditional k-means algorithm is solved. The method and the device ensure the service quality of each user equipment service and give consideration to fairness so that users with different channel environments and different data lengths and different time delays can fairly obtain transmission opportunities.
Referring to fig. 6, the present invention provides a radio resource scheduling apparatus 6, please refer to fig. 6, where fig. 6 is a schematic diagram of an apparatus for radio resource scheduling according to an embodiment of the present invention, and a method and an apparatus for radio resource scheduling shown in fig. 6 include:
an obtaining unit 61, configured to obtain a scheduling priority of each to-be-scheduled device in a plurality of to-be-scheduled devices;
a selecting unit 62, configured to sort the multiple devices to be scheduled from high to low according to the scheduling priority, and use a preset number of the devices to be scheduled that are sorted in the top as initial cluster point devices; taking the equipment to be scheduled which is not taken as the initial clustering point equipment as equipment to be clustered;
and the clustering unit 63 is configured to cluster the to-be-clustered devices to the initial clustering point device closest to the to-be-clustered devices, so as to form clusters.
And a calculating and scheduling unit 64, configured to iteratively update the coordinate values of each cluster, and schedule the radio resource of the device to be scheduled when the coordinate values of each cluster do not change or reach the maximum iteration number.
Optionally, the obtaining unit 61 is specifically configured to:
acquiring a channel equalization matrix of each device to be scheduled;
obtaining a sending signal of each device to be scheduled according to the channel equalization matrix;
acquiring the signal-to-noise ratio of each device to be scheduled according to the sending signal;
obtaining the transmission rate of each device to be scheduled according to the signal-to-noise ratio;
acquiring the service data length of each device to be scheduled, and acquiring the transmission waiting delay of each device to be scheduled according to the transmission rate of each device to be scheduled;
acquiring and dynamically updating the average transmission delay of each device to be scheduled according to the transmission waiting delay of each device to be scheduled;
and obtaining the scheduling priority of each device to be scheduled according to the average transmission delay of each device to be scheduled.
Optionally, the clustering unit 63 is specifically configured to:
delaying the waiting transmission of each device to be scheduled by T i And said average transmission delay T i Combining into coordinate values;
respectively calculating the distance between each device to be clustered and each initial clustering point device;
and clustering each device to be clustered to the initial clustering point device closest to the device to be clustered according to the calculation result of the distance to form a cluster.
Optionally, the calculating and scheduling unit 64 is specifically configured to:
iteratively calculating the coordinate value of each cluster;
and replacing the coordinate value obtained by each iterative calculation with the coordinate value obtained by the last iterative calculation until the coordinate value of each cluster is not changed or the maximum iterative times are reached, and scheduling the wireless resources of the equipment to be scheduled.
The device for scheduling the wireless resources can select the equipment to be scheduled to perform scheduling in the user equipment under different conditions, guarantees the service quality of the service of each equipment to be scheduled, and also can give consideration to fairness, so that the equipment to be scheduled, which has different delays in different channel environments and different data lengths, can fairly obtain transmission opportunities.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by functions and internal logic of the process, and should not limit the implementation process of the embodiments of the present invention in any way.
Fig. 7 is a schematic diagram of an apparatus/terminal device for radio resource scheduling according to an embodiment of the present invention. As shown in fig. 7, an apparatus/terminal device 7 for radio resource scheduling according to this embodiment includes: a processor 70, a memory 71 and a computer program 72, e.g. a radio resource scheduling program, stored in said memory 71 and executable on said processor 70. The processor 70, when executing the computer program 72, implements the steps in each of the above-mentioned embodiments of the method for scheduling radio resources, such as the steps S101 to S104 shown in fig. 1. Alternatively, the processor 70, when executing the computer program 72, implements the functions of the units in the above-described device embodiments, such as the functions of the units 61 to 64 shown in fig. 6.
Illustratively, the computer program 72 may be divided into one or more units, which are stored in the memory 71 and executed by the processor 70 to accomplish the present invention. The unit or units may be a series of computer program instruction segments capable of performing specific functions for describing the execution of the computer program 72 in the apparatus/terminal device 7 for scheduling radio resources. For example, the computer program 72 may be divided into an acquisition unit, a selection unit, a clustering unit, and a calculation and scheduling unit, and each unit has the following specific functions:
the device comprises an acquisition unit, a scheduling unit and a scheduling unit, wherein the acquisition unit is used for acquiring the scheduling priority of each device to be scheduled in a plurality of devices to be scheduled;
the selection unit is used for sequencing the plurality of devices to be scheduled from high to low according to the scheduling priority, and taking a preset number of devices to be scheduled which are sequenced at the top as initial clustering point devices; taking the equipment to be scheduled which is not taken as the initial clustering point equipment as equipment to be clustered;
and the clustering unit is used for clustering the equipment to be clustered to the initial clustering point equipment with the closest distance to form clusters.
And the calculating and scheduling unit is used for updating the coordinate value of each cluster in an iterative manner, and when the coordinate value of each cluster is not changed or reaches the maximum iteration number, scheduling the wireless resource of the equipment to be scheduled.
The device/terminal device 7 for scheduling wireless resources may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The apparatus/terminal device for scheduling radio resources may include, but is not limited to, a processor 70 and a memory 71. It will be understood by those skilled in the art that fig. 7 is only an example of an apparatus/terminal device 7 for radio resource scheduling, and does not constitute a limitation of the apparatus/terminal device 7 for radio resource scheduling, and may include more or less components than those shown, or combine some components, or different components, for example, the apparatus/terminal device for radio resource scheduling may further include an input-output device, a network access device, a bus, etc.
The Processor 70 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 71 may be an internal storage unit of the apparatus/terminal device 7 for radio resource scheduling, such as a hard disk or a memory of the apparatus/terminal device 7 for radio resource scheduling. The memory 71 may also be an external storage device of the radio resource scheduling apparatus/terminal device 7, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, provided on the radio resource scheduling apparatus/terminal device 7. Further, the memory 71 may also comprise both an internal memory unit and an external memory device of the apparatus/terminal device 7 for scheduling radio resources. The memory 71 is used for storing the computer program and other programs and data required by the apparatus/terminal device of a kind of radio resource scheduling. The memory 71 may also be used to temporarily store data that has been output or is to be output.
It should be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional units and modules is only used for illustration, and in practical applications, the above function distribution may be performed by different functional units and modules as needed, that is, the internal structure of the apparatus may be divided into different functional units or modules to perform all or part of the above described functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
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 technical solution. 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.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, 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 through some interfaces, indirect coupling or communication connection of 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 position, or may be distributed on multiple 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 module/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, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. . Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above-mentioned embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein.
Claims (9)
1. A method for scheduling radio resources, comprising the steps of:
acquiring the scheduling priority of each device to be scheduled in a plurality of devices to be scheduled;
sequencing the plurality of devices to be scheduled from high to low according to the scheduling priority, taking the devices to be scheduled with a preset number in the front of the sequencing as initial clustering point devices, and taking the devices to be scheduled which are not taken as the initial clustering point devices as the devices to be clustered;
clustering the equipment to be clustered to the initial clustering point equipment with the closest distance to form a cluster;
iteratively updating the coordinate value of each cluster, and scheduling the wireless resource of the equipment to be scheduled when the coordinate value of each cluster is not changed or reaches the maximum iteration times;
wherein, the iteratively updating the coordinate value of each cluster, and when the coordinate value of each cluster does not change or reaches the maximum iteration number, scheduling the wireless resource of the device to be scheduled, includes:
by the functional formula: t' i ＝∑T m M (M =1,2,. Multidot., M) and
iteratively calculating coordinate values of each cluster, wherein M represents the equipment to be scheduled included in each clusterNumber of (2), T m Represents the mth waiting transmission delay, T, in each cluster i ' represents the average of the waiting transmission delays in each cluster,
representing the mth average transmission delay in each cluster, with the maximum value of M being M,
represents the mean of the average transmission delays within each cluster;
and replacing the coordinate value obtained by each iterative calculation with the coordinate value obtained by the last iterative calculation until the coordinate value of each cluster is not changed or the maximum iterative times are reached, and scheduling the wireless resources of the equipment to be scheduled.
2. The method of claim 1, wherein the obtaining the scheduling priority of each of the plurality of devices to be scheduled comprises:
acquiring a channel equalization matrix of each device to be scheduled;
obtaining a sending signal of each device to be scheduled according to the channel equalization matrix;
acquiring the signal-to-noise ratio of each device to be scheduled according to the sending signal;
obtaining the transmission rate of each device to be scheduled according to the signal-to-noise ratio;
acquiring the service data length of each device to be scheduled, and acquiring the transmission waiting delay of each device to be scheduled according to the transmission rate of each device to be scheduled;
acquiring and dynamically updating the average transmission delay of each device to be scheduled according to the transmission delay waiting of each device to be scheduled;
and obtaining the scheduling priority of each device to be scheduled according to the average transmission delay of each device to be scheduled.
3. The method of claim 2, wherein clustering the devices to be clustered to the initial clustering point device closest to the device to be clustered to form a cluster comprises:
delaying the waiting transmission of each device to be scheduled by T i And said average transmission delay
Combining into coordinate values;
respectively calculating the distance between each device to be clustered and each initial clustering point device;
and clustering each device to be clustered to the initial clustering point device closest to the device to be clustered according to the calculation result of the distance to form a cluster.
4. The method of claim 3, delaying the waiting transmission of each of the devices to be scheduled by T i And said average transmission delay T i The coordinate values are combined to include:
generating coordinate values of each of the initial cluster point devices
Wherein k is a positive integer, and the maximum value is the number of the initial clustering point devices;
generating coordinate values of each device to be clustered
Wherein p is a positive integer, and the maximum value is the number of the devices to be clustered;
correspondingly, respectively calculating the distance between each device to be clustered and each initial clustering point device, including:
by the functional formula:
and respectively calculating the distance between each device to be clustered and each initial clustering point device.
5. An apparatus for radio resource scheduling, comprising:
the device comprises an acquisition unit, a scheduling unit and a scheduling unit, wherein the acquisition unit is used for acquiring the scheduling priority of each device to be scheduled in a plurality of devices to be scheduled;
the selection unit is used for sequencing the multiple devices to be scheduled from high to low according to the scheduling priority, taking the devices to be scheduled with the preset number as initial clustering point devices, and taking the devices to be scheduled which are not taken as the initial clustering point devices as the devices to be clustered;
the clustering unit is used for clustering the equipment to be clustered to the initial clustering point equipment with the closest distance to form clusters;
the calculating and scheduling unit is used for updating the coordinate value of each cluster in an iterative manner, and when the coordinate value of each cluster does not change or reaches the maximum iteration number, the wireless resource of the equipment to be scheduled is scheduled;
wherein, the iteratively updating the coordinate value of each cluster, and when the coordinate value of each cluster does not change or reaches the maximum iteration number, scheduling the wireless resource of the device to be scheduled, includes:
by the functional formula: t' i ＝∑T m M (M =1,2,. Multidot., M) and
iteratively calculating the coordinate value of each cluster, wherein M represents the number of the devices to be scheduled, T, included in each cluster m Represents the mth waiting transmission delay, T, in each cluster i ' represents the average of the waiting transmission delays within each cluster,
representing the mth average transmission delay in each cluster, with the maximum value of M being M,
represents the mean of the average transmission delays within each cluster;
and replacing the coordinate value obtained by each iterative calculation with the coordinate value obtained by the last iterative calculation until the coordinate value of each cluster is not changed or the maximum iterative times are reached, and scheduling the wireless resources of the equipment to be scheduled.
6. The apparatus for radio resource scheduling according to claim 5, wherein the acquiring unit is specifically configured to:
acquiring a channel equalization matrix of each device to be scheduled;
obtaining a sending signal of each device to be scheduled according to the channel equalization matrix;
acquiring the signal-to-noise ratio of each device to be scheduled according to the sending signal;
obtaining the transmission rate of each device to be scheduled according to the signal-to-noise ratio;
acquiring the service data length of each device to be scheduled, and acquiring the transmission waiting delay of each device to be scheduled according to the transmission rate of each device to be scheduled;
acquiring and dynamically updating the average transmission delay of each device to be scheduled according to the transmission delay waiting of each device to be scheduled;
and obtaining the scheduling priority of each device to be scheduled according to the average transmission delay of each device to be scheduled.
7. The apparatus for radio resource scheduling according to claim 5, wherein the clustering unit is specifically configured to:
respectively calculating the distance between each device to be clustered and each initial clustering point device;
and clustering each device to be clustered to the initial clustering point device closest to the device to be clustered according to the calculation result of the distance to form a cluster.
8. An apparatus/terminal device for radio resource scheduling, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 4 when executing the computer program.
9. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 4.
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| CN102264147B (en) * | 2011-08-26 | 2014-05-07 | 东南大学 | Statistical channel information assisted downlink multiuser proportional fair scheduling methods |
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