CN104980934B - Multi-service resource dispatching method and device - Google Patents

Multi-service resource dispatching method and device Download PDF

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CN104980934B
CN104980934B CN201510397535.1A CN201510397535A CN104980934B CN 104980934 B CN104980934 B CN 104980934B CN 201510397535 A CN201510397535 A CN 201510397535A CN 104980934 B CN104980934 B CN 104980934B
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user terminal
component carrier
characterizing
carrier
resource block
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CN104980934A (en
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张勇
郭达
宋梅
李沸乐
张亚男
程刚
鲍叙言
王东安
方鸣
方一鸣
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Beijing University of Posts and Telecommunications
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/02—Resource partitioning among network components, e.g. reuse partitioning
    • H04W16/10—Dynamic resource partitioning
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/52—Allocation or scheduling criteria for wireless resources based on load

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Abstract

An embodiment of the present invention provides a kind of multi-service resource dispatching method and devices.This method includes：Determine at least one user terminal that base station equipment current time covered；Calculate the priority weighting factor of each user terminal on each member carrier, the priority weighting factor is made of the position weight factor and carrier load weight factor, the position weight factor is influenced by the distance between user terminal and base station equipment, and carrier load weight factor is influenced by the present load of member carrier；According to the type of service of each user terminal and the calculated priority weighting factor, scheduling of resource priority of each user terminal on each resource block in each member carrier is calculated；According to the calculated scheduling of resource priority of institute, the respective resources block in corresponding member carrier is distributed for each user terminal.This programme dynamically distributes radio spectrum resources, to improve the reasonability of resource allocation.

Description

Multi-service resource scheduling 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 scheduling multiple service resources.
Background
In order to meet the requirements of the fourth generation communication system in terms of bandwidth, peak rate, compatibility and the like, carrier aggregation is one of the key technologies proposed by 3GPP, and has significant advantages in the aspects of increasing the peak data rate and expanding the transmission bandwidth. Carrier aggregation can be classified into three classes according to the arrangement of Component Carriers (CCs). Currently, most of the spectrum being aggregated is scattered and belongs to different frequency bands. Therefore, we need to research an inter-band carrier aggregation technique to flexibly utilize spectrum resources.
Up to now, there has been a lot of research in radio resource scheduling. Two main resource scheduling approaches are Joint Queue Scheduling (JQS) and Independent Carrier Scheduling (ICS). JQS, combining all CCs into one carrier to allocate Resource Blocks (RBs), although this method is very efficient in scheduling, it requires each ue to be able to receive signals from all CCs, so the scheduling complexity is very high and some ues cannot access all CCs in actual operation. The ICS restricts each user to access only one CC at a time, and the user can only use the RB on the CC, but one user terminal can only use one CC, which is prone to cause carrier load imbalance and low system spectrum utilization. In addition, in the specific implementation process of resource scheduling, in the prior art, only channel quality or service load balancing is considered, and various influencing factors and factors directly influencing user subjective experience are not considered comprehensively, so that the user experience quality of different service users is ensured rarely.
Disclosure of Invention
The embodiment of the invention aims to provide a multi-service resource scheduling method and device, which are used for dynamically allocating wireless spectrum resources by comprehensively considering user fairness, carrier load balancing, user experience quality and channel quality, so that the rationality of resource allocation is improved. The specific technical scheme is as follows:
in a first aspect, an embodiment of the present invention provides a method for scheduling multiple service resources, including:
determining at least one user terminal covered by the base station equipment at the current moment;
calculating priority weighting factors of each user terminal on each member carrier, wherein the priority weighting factors comprise position weighting factors and carrier load weighting factors, the position weighting factors are influenced by the distance between the user terminal and the base station equipment, and the carrier load weighting factors are influenced by the current load of the member carrier;
calculating the resource scheduling priority of each user terminal on each resource block in each member carrier according to the service type of each user terminal and the calculated priority weight factor;
and distributing corresponding resource blocks in corresponding member carriers to each user terminal according to the calculated resource scheduling priority.
Optionally, the formula for calculating the priority weighting factor of each ue on each component carrier includes:
wherein,characterizing the priority weighting factor of user terminal k on the mth component carrier,characterizing the location weight factor of user terminal k on the m-th component carrier, βmCharacterizing a carrier load weight factor of the mth component carrier;
the formula for calculating the position weight factor of the user terminal k on the mth component carrier comprises:
dkcharacterizing a distance value, R, between a user terminal k and a base station devicemCharacterizing a coverage radius of the mth component carrier;
the formula for calculating the carrier load weight factor of the mth component carrier includes:
n denotes the number of resource blocks, σ, contained in the mth component carriermCharacterizing the number of currently occupied resource blocks on the mth component carrier.
Optionally, the formula for calculating the resource scheduling priority of each user terminal on each resource block in each component carrier according to the service type of each user terminal and the calculated priority weighting factor includes:
wherein,characterizing the scheduling priority of the user terminal k on the nth resource block in the mth component carrier at the current time t,characterizing the priority weighting factor of user terminal k on the mth component carrier,characterizing the instantaneous transmission rate of the user terminal k on the nth resource block in the mth component carrier at the current time instant tth,user mean opinion score, R, of user terminal k on nth resource block in mth component carrier at current time t determined based on service type of user terminal kk(t) characterizing the average data rate obtained by the user terminal k on all the component carriers at the current moment t.
Optionally, the formula for allocating the corresponding resource block in the corresponding component carrier to each ue according to the calculated resource scheduling priority includes:
wherein k is*And characterizing the user terminal distributed on the nth resource block in the mth component carrier.
Optionally, the formula for calculating the average data rate obtained by the user terminal k on all the component carriers at the current time t includes:
wherein R isk(t) characterizing the average data rate obtained by the user terminal k on all component carriers at the current time t,representing the average data rate of the user terminal k on the mth member carrier at the current moment t;
the formula for calculating the average data rate of the user terminal k on the mth component carrier at the current time t includes:
wherein, TcCharacterizing the length of a time window, k*And characterizing the user terminal existing on the mth component carrier at the moment t-1.
Optionally, the service type of the user terminal includes:
one of a VoIP service, a streaming media service, a web browsing service and a file downloading service;
for the VoIP service, the formula for calculating the user mean opinion score of the user terminal k on the nth resource block in the mth component carrier at the current time t includes:
wherein, f (Q) represents the user mean opinion score of the user terminal k on the nth resource block in the mth component carrier at the current time instant tth, and Q ═ R (R)k m,n(t)) characterizes the transmission rate factor r of the user terminal k on the nth resource block in the mth component carrier at the current instant tthk m,n(t) characterizing the mth component carrier of the current time instant tthInstantaneous transmission rate of user terminal k on n resource blocks;
for streaming media services, a formula for calculating a user mean opinion score of a user terminal k on an nth resource block in an mth component carrier at a current time t includes:
wherein, f (r)k m,n(t)) represents the user mean opinion score, r, of the user terminal k on the nth resource block in the mth component carrier at the current time instant tthk m,n(t) characterizing the instantaneous transmission rate of the user terminal k on the nth resource block in the mth component carrier at the current time instant tth, a1、a2、a3、a4And PeIs a preset parameter value;
for the web browsing service, the formula for calculating the user mean opinion score of the user terminal k on the nth resource block in the mth component carrier at the current time t includes:
wherein, f (r)k m,n(t)) represents the user mean opinion score, r, of the user terminal k on the nth resource block in the mth component carrier at the current time instant tthk m,n(t) characterizing the instantaneous transmission rate of the user terminal k on the nth resource block in the mth component carrier at the current moment tth;
for the file downloading service, the formula for calculating the user mean opinion score of the user terminal k on the nth resource block in the mth component carrier at the current time t includes:
wherein, f (r)k m,n(t)) represents the user mean opinion score, r, of the user terminal k on the nth resource block in the mth component carrier at the current time instant tthk m,n(t) characterizing the instantaneous transmission rate of the user terminal k on the nth resource block in the mth component carrier at the current time t, a, b, Pe、RminAnd RmaxIs a preset parameter value.
In a second aspect, an embodiment of the present invention further provides a multi-service resource scheduling apparatus, including:
a user terminal determining module, configured to determine at least one user terminal covered by the base station device at the current time;
the priority weighting factor calculation module is used for calculating priority weighting factors of each user terminal on each member carrier, wherein the priority weighting factors comprise position weighting factors and carrier load weighting factors, the position weighting factors are influenced by the distance between the user terminal and the base station equipment, and the carrier load weighting factors are influenced by the current load of the member carriers;
a resource scheduling priority calculating module, configured to calculate resource scheduling priorities of the user terminals on each resource block in each component carrier according to the service types of the user terminals and the calculated priority weight factors;
and the resource block allocation module is used for allocating corresponding resource blocks in corresponding member carriers to each user terminal according to the calculated resource scheduling priority.
In the scheme, at least one user terminal covered by the base station equipment at the current moment is determined; calculating priority weighting factors of each user terminal on each member carrier, wherein the priority weighting factors comprise position weighting factors and carrier load weighting factors, the position weighting factors are influenced by the distance between the user terminal and the base station equipment, and the carrier load weighting factors are influenced by the current load of the member carrier; calculating the resource scheduling priority of each user terminal on each resource block in each member carrier according to the service type of each user terminal and the calculated priority weight factor; and distributing corresponding resource blocks in corresponding member carriers to each user terminal according to the calculated resource scheduling priority. Therefore, the scheme dynamically allocates the wireless spectrum resources by comprehensively considering the four dimensions of user fairness, carrier load balancing, user experience quality guarantee and channel quality, so that the reasonability of resource allocation is improved, and good compromise can be obtained in scheduling efficiency and complexity.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a system scenario to which a multi-service resource scheduling method according to an embodiment of the present invention is applied;
fig. 2 is a flowchart of a method for scheduling multiple service resources according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a system model corresponding to a multi-service resource scheduling method according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a multi-service resource scheduling apparatus according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a multi-service resource scheduling method and device, which are used for dynamically allocating wireless spectrum resources by comprehensively considering four dimensions of user fairness, carrier load balance, user experience quality guarantee and channel quality, so that the rationality of resource allocation is improved, and good compromise is achieved on scheduling efficiency and complexity.
The method for scheduling multi-service resources provided by the embodiment of the invention can comprise the following steps:
determining at least one user terminal covered by the base station equipment at the current moment;
calculating priority weighting factors of each user terminal on each member carrier, wherein the priority weighting factors comprise position weighting factors and carrier load weighting factors, the position weighting factors are influenced by the distance between the user terminal and the base station equipment, and the carrier load weighting factors are influenced by the current load of the member carrier;
calculating the resource scheduling priority of each user terminal on each resource block in each member carrier according to the service type of each user terminal and the calculated priority weight factor;
and distributing corresponding resource blocks in corresponding member carriers to each user terminal according to the calculated resource scheduling priority.
It should be noted that the multi-service resource scheduling method provided in the embodiment of the present invention may be applied to a base station device, and certainly, may also be applied to a device associated with the base station device to assist resource scheduling of radio spectrum resources of the base station device. In addition, the method provided by the embodiment of the present invention is implemented based on the fact that the communication system utilizes a carrier aggregation technology, for example: an LTE-a (Long Term Evolution-Advanced) based communication scenario, but is of course not limited thereto.
In the scheme, at least one user terminal covered by the base station equipment at the current moment is determined; calculating priority weighting factors of each user terminal on each member carrier, wherein the priority weighting factors comprise position weighting factors and carrier load weighting factors, the position weighting factors are influenced by the distance between the user terminal and the base station equipment, and the carrier load weighting factors are influenced by the current load of the member carrier; calculating the resource scheduling priority of each user terminal on each resource block in each member carrier according to the service type of each user terminal and the calculated priority weight factor; and distributing corresponding resource blocks in corresponding member carriers to each user terminal according to the calculated resource scheduling priority. Therefore, the scheme dynamically allocates the wireless spectrum resources by comprehensively considering the four dimensions of user fairness, carrier load balancing, user experience quality guarantee and channel quality, so that the reasonability of resource allocation is improved, and good compromise can be obtained in scheduling efficiency and complexity.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
For clarity, a method for scheduling multiple service resources according to an embodiment of the present invention is described below with reference to a system scenario of a single cell in a downlink LTE-a system. As shown in fig. 1, a base station equipment (eNodeB) is located at a cell center position, and K user terminals (UEs) are randomly distributed in the cell. And the network supports four service models: analog signal digital service (VOIP), streaming media service, web browsing service, and file downloading service, wherein each type of service corresponds to different characteristics and evaluation criteria.
Each becomeThe time-frequency resources of a Component Carrier (CC) are divided into several Resource Blocks (RBs), each RB being allocated to only one UE as the smallest resource unit. The downlink LTE-A system aggregates M CCs, and the CCs of different frequency bands have the same bandwidth and transmitting power. By CCmDenotes an mth CC, one CC containing N RBs. The communication system model in the system scene adopts a space channel expansion modelTo express the path loss of the user terminal k on the mth CC, the specific is as follows:
wherein d iskThe unit is km, which is the distance between a user terminal k and an eNodeB; f. ofmIs CCmIn MHz; PLthThe path loss threshold is set by the eNodeB, so the CC in the lower band has a wider coverage, while the CC in the higher band has a narrower coverage, as shown in equation 2:
f1>f2>f3>…>fM,R1<R2<R3<…<RM(2)
also, it can be understood that in the multi-carrier aggregation system, the eNodeB and all the user terminals can transmit and receive signals simultaneously among a plurality of non-adjacent carriers, even different inter-band carriers. In order to effectively utilize radio resources and different frequency bands with different radio wave propagation characteristics, a scheduling policy based on the multi-service resource scheduling method provided by the embodiment of the present invention is divided into two stages of priority weight calculation and resource allocation, and a schematic diagram of a scheduling model corresponding to the scheduling policy can be seen in fig. 3, where the scheduling policy corresponds to the scheduling modelThe resource scheduling process given by the degree model indicates that priority weighting factors of each user terminal on each CC are respectively calculated, then RBs on available CCs are allocated to each user terminal based on the calculated priority weighting factors, and it should be noted that a cache k corresponding to a user terminal k shown in fig. 3 specifically indicates: a pending data package in a message queue for the service requested by user terminal k. Also, to optimize system performance, there should be approximately equal load on different CCs, which may be the load σmTo represent CCmThe number of RBs occupied above, when there are multiple user terminals requesting services simultaneously, will immediately update each sigma after allocating resources to each user terminal in turnmThe value is obtained.
As shown in fig. 1, a method for scheduling multiple service resources may include the following steps:
s101, determining at least one user terminal covered by the base station equipment at the current moment;
the current time is a preset resource scheduling analysis time, the time window length is an interval time period between any two resource scheduling analysis times, and the specific resource scheduling distribution mode determined by the resource scheduling analysis time is applied to the interval time period between the resource scheduling analysis time and the next resource scheduling analysis time.
In this embodiment, in the process of executing the multi-service resource scheduling method, at least one user terminal covered by the base station device at the current time may be determined first, and then resource scheduling is performed for the determined at least one user terminal.
S102, calculating priority weighting factors of each user terminal on each member carrier, wherein the priority weighting factors are composed of position weighting factors and carrier load weighting factors, the position weighting factors are influenced by the distance between the user terminal and the base station equipment, and the carrier load weighting factors are influenced by the current load of the member carrier;
in order to fully utilize the wireless spectrum resources and improve the rationality of resource allocation, the priority weighting factor of each user terminal on each member carrier can be calculated by considering the carrier load weight, the user fairness and the channel quality, wherein the priority weighting factor is composed of a position weighting factor and a carrier load weighting factor, the position weighting factor is influenced by the distance between the user terminal and the base station equipment, and the carrier load weighting factor is influenced by the current load of the member carrier.
Specifically, the formula for calculating the priority weighting factor of each ue on each component carrier may include:
wherein,characterizing the priority weighting factor of user terminal k on the mth component carrier,characterizing the location weight factor of user terminal k on the m-th component carrier, βmCharacterizing a carrier load weight factor of the mth component carrier;
further, the formula for calculating the location weight factor of the user terminal k on the mth component carrier may include:
wherein d iskCharacterizing a distance value, R, between a user terminal k and a base station devicemCharacterizing a coverage radius of the mth component carrier;
further, the formula for calculating the carrier load weight factor of the mth component carrier may include:
wherein, N represents the number of resource blocks contained in the mth component carrier, sigmamCharacterizing the number of currently occupied resource blocks on the mth component carrier.
It should be noted that the above formulas for calculating the priority weighting factors, the formulas for calculating the location weighting factors, and the formulas for calculating the carrier load weighting factors are only examples, and should not be construed as limiting the embodiments of the present invention.
S103, calculating resource scheduling priority of each user terminal on each resource block in each member carrier according to the service type of each user terminal and the calculated priority weight factor;
after calculating the priority weighting factor of each user terminal on each member carrier, in order to further analyze resource allocation in combination with user experience quality assurance, the resource scheduling priority of each user terminal on each resource block in each member carrier can be calculated according to the service type of each user terminal and the calculated priority weighting factor.
Specifically, the formula for calculating the resource scheduling priority of each user terminal on each resource block in each component carrier according to the service type of each user terminal and the calculated priority weighting factor may include:
wherein,characterizing users on the nth resource block in the mth component carrier at the current time tthThe scheduling priority of the terminal k is,characterizing the priority weighting factor of user terminal k on the mth component carrier,characterizing the instantaneous transmission rate of the user terminal k on the nth resource block in the mth component carrier at the current time instant tth,user mean opinion score, R, of user terminal k on nth resource block in mth component carrier at current time t determined based on service type of user terminalk(t) characterizing the average data rate obtained by the user terminal k on all the component carriers at the current moment t.
Specifically, the formula for calculating the average data rate obtained by the user terminal k on all the component carriers at the current time t may include:
wherein R isk(t) characterizing the average data rate obtained by the user terminal k on all component carriers at the current time t,representing the average data rate of the user terminal k on the mth member carrier at the current moment t;
the formula for calculating the average data rate of the user terminal k at the current time t on the mth component carrier may include:
wherein, TcWhile characterizingLength of the intermediate window, k*And characterizing the user terminal existing on the mth component carrier at the moment t-1.
It should be noted that the wireless multimedia service is divided into four service types, which are arranged from large to small according to the sensitivity to time delay, namely, VOIP service, streaming media service, web browsing service and file downloading service. The first two are real-time services, the second two are non-real-time services, subjective perception of unified quantized services can be realized by adopting user average opinion score (MOS), the subjective perception is a continuous value of 0-5, packet delay and data rate are two essential indexes for user Quality of Experience (QoE) optimization, and the packet delay is influenced by the data rate to a great extent. Therefore, on the basis of the existing research and experimental data, a required QoE evaluation model is designed according to the characteristics of four different service types, that is, a formula used for calculating the average opinion score of users under different service types is calculated, wherein it is assumed that all services are transmitted under an ideal channel, that is, the packet error rate is 0. For the sake of clarity of the layout, how to calculate the user mean opinion score of the user terminal k on the nth resource block in the mth component carrier at the current time t is described in cases based on different traffic types.
S104, distributing corresponding resource blocks in corresponding member carriers for each user terminal according to the calculated resource scheduling priority.
After the resource scheduling priority is calculated, the corresponding resource blocks in the corresponding component carriers can be allocated to each user terminal through a predetermined formula.
Specifically, the formula for allocating the corresponding resource blocks in the corresponding component carriers to each ue according to the calculated resource scheduling priority includes:
wherein k is*Characterizing an nth resource in an mth component carrierThe allocated user terminals on the block.
By the above allocation method, the service requirements of all the user terminals are met or all the RBs are allocated.
In the scheme, at least one user terminal covered by the base station equipment at the current moment is determined; calculating priority weighting factors of each user terminal on each member carrier, wherein the priority weighting factors comprise position weighting factors and carrier load weighting factors, the position weighting factors are influenced by the distance between the user terminal and the base station equipment, and the carrier load weighting factors are influenced by the current load of the member carrier; calculating the resource scheduling priority of each user terminal on each resource block in each member carrier according to the service type of each user terminal and the calculated priority weight factor; and distributing corresponding resource blocks in corresponding member carriers to each user terminal according to the calculated resource scheduling priority. Therefore, the scheme dynamically allocates the wireless spectrum resources by comprehensively considering the four dimensions of user fairness, carrier load balancing, user experience quality guarantee and channel quality, so that the reasonability of resource allocation is improved, and good compromise can be obtained in scheduling efficiency and complexity.
How to calculate the user mean opinion score of the user terminal k on the nth resource block in the mth component carrier at the current time t is described in a case-by-case manner based on different service types.
(1) In the case of a VoIP service,
the international telecommunications union has defined the E-model as a speech quality prediction model in the ITU-T rec.g.107 standard and expressed the MOS as a function of the transmission rate factor R as follows:
r depends mainly on the 5 parameters shown in equation 11, equation 11 is as follows:
R＝Ro-Is-Id-Ieff+A (11)
wherein R isoFor basic signal-to-noise ratio, IsFor speech signal attenuation, IdFor attenuation by time delay of speech signals, IeffFor the device attenuation factor, A is a dominant factor related to the type of communication scenario, and in an ideal environment, R may be seto94 and Is＝A＝IeffTherefore, equation 11 can be simplified as:
R＝94-Id(12)
Idis an absolute time delay TaFunction of (c):
Ta(rk)＝Tpack+Tm+Tq+Tq,AI(rk)+Tse(rk) (14)
wherein, TpackFor packet delay, TmTo minimize the total delay, TqFor total queuing delay, T, other than the air interfacese(rk) Is a serial delay. T ispack+Tm+TqThe value is 124ms, Tq,AI(rk) Is defined asTse(rk) Is defined asTTTIRepresenting the duration of the transmission time interval,is the average data rate, r, of the user terminal kkIs the instantaneous transmission rate of user terminal k. Because, in LTE-A, one TTI is typically usedIs 1ms, T can be set in consideration of uplink and downlink transmission delayTTIIs 2ms, therefore, TaCan be expressed as rkFunction of (c):
finally, an r can be designed by combining equations 10, 12, 13 and 15kTo calculate the MOS value of VoIP, i.e.:
further, based on equation 16, we can obtain: the formula for calculating the user mean opinion score of the user terminal k on the nth resource block in the mth component carrier at the current time t comprises the following steps:
wherein, f (Q) represents the user mean opinion score of the user terminal k on the nth resource block in the mth component carrier at the current time instant tth, and Q ═ R (R)k m,n(t)) characterizes the transmission rate factor r of the user terminal k on the nth resource block in the mth component carrier at the current instant tthk m,n(t) characterizing the instantaneous transmission rate of the user terminal k on the nth resource block in the mth component carrier at the current moment tth;
(2) for streaming media services:
the user's subjective perception of network video services is influenced by many QoS metrics, including application level QoS related to frame rate and transmission bit rate, and related to packet error rate, delay, jitter, etcNetwork level QoS. Wherein when r iskBetween certain threshold ranges, the MOS will follow rkIs increased significantly, and when r is increasedkBeyond the threshold, the MOS will change slowly. Therefore, the MOS of the streaming media service can be modeled as an S-function, as follows:
it will be appreciated that the values of the parameters are different for different text streams. And, when the low threshold and the high threshold of the streaming media service are 300kbps and 3Mbps, respectively, Pe＝0，a2＝0.04，a31650. Further, in order to limit the value of MOS to 0 to 4.5, a may be set1＝4.5，a4＝0。
Further, based on the above equation 18, it can be obtained:
the formula for calculating the user mean opinion score of the user terminal k on the nth resource block in the mth component carrier at the current time t comprises the following steps:
wherein, f (r)k m,n(t)) represents the user mean opinion score, r, of the user terminal k on the nth resource block in the mth component carrier at the current time instant tthk m,n(t) characterizing the instantaneous transmission rate of the user terminal k on the nth resource block in the mth component carrier at the current time instant tth, a1、a2、a3、a4And PeIs a preset parameter value.
(3) For a web browsing service:
the MOS of the subjective user web browsing experience may be calculated by the lorentz utility function:
where d represents the service response time, measured in seconds.
The user has no intuitive feeling in terms of throughput, time delay, jitter and other QoS parameters, and focuses more on the response speed of the browser and the downloading time of the web page. Thus, service response time passes through FSk/rkGiven that FSkThe average is 2Mb for the web page size. Finally, equation 20 can be rewritten as equation 21, as follows:
further, based on the above equation 21, it can be obtained:
the formula for calculating the user mean opinion score of the user terminal k on the nth resource block in the mth component carrier at the current time t comprises the following steps:
wherein, f (r)k m,n(t)) represents the user mean opinion score, r, of the user terminal k on the nth resource block in the mth component carrier at the current time instant tthk m,n(t) characterizing the instantaneous transmission rate of the user terminal k on the nth resource block in the mth component carrier at the current time instant tth.
(4) For a file download service:
the file transfer application is a flexible service when rkAt RminAnd RmaxIn between, the utility function is a continuously differentiable strictly convex function of the increment of the data rate, RminIs a lower threshold limit, when the data transmission rate is lower than the lower limitWhen the data rate is higher than the upper threshold limit R, the user is not satisfied with the service very muchmaxThen, the user will experience good, based on the above assumption, the MOS can be calculated as follows:
wherein a, b, P can be determined by processing the collected data by a method of fitting a logarithmic curvee、Rmin、RmaxValues of 1.147, 0.25, 0, 100kbps and 3.12Mbps, respectively.
Further, based on the above equation 23, it can be obtained:
the formula for calculating the user mean opinion score of the user terminal k on the nth resource block in the mth component carrier at the current time t comprises the following steps:
wherein, f (r)k m,n(t)) represents the user mean opinion score, r, of the user terminal k on the nth resource block in the mth component carrier at the current time instant tthk m,n(t) characterizing the instantaneous transmission rate of the user terminal k on the nth resource block in the mth component carrier at the current time t, a, b, Pe、RminAnd RmaxIs a preset parameter value.
Corresponding to the foregoing method embodiment, an embodiment of the present invention further provides a multi-service resource scheduling apparatus, as shown in fig. 2, which may include:
a user terminal determining module 210, configured to determine at least one user terminal covered by the base station device at the current time;
a priority weighting factor calculation module 220, configured to calculate a priority weighting factor of each user terminal on each component carrier, where the priority weighting factor is composed of a location weighting factor and a carrier load weighting factor, the location weighting factor is affected by a distance between the user terminal and the base station device, and the carrier load weighting factor is affected by a current load of the component carrier;
a resource scheduling priority calculating module 230, configured to calculate a resource scheduling priority of each user terminal on each resource block in each component carrier according to the service type of each user terminal and the calculated priority weight factor;
a resource block allocation module 240, configured to allocate, according to the calculated resource scheduling priority, a corresponding resource block in a corresponding component carrier for each user terminal.
In the scheme, at least one user terminal covered by the base station equipment at the current moment is determined; calculating priority weighting factors of each user terminal on each member carrier, wherein the priority weighting factors comprise position weighting factors and carrier load weighting factors, the position weighting factors are influenced by the distance between the user terminal and the base station equipment, and the carrier load weighting factors are influenced by the current load of the member carrier; calculating the resource scheduling priority of each user terminal on each resource block in each member carrier according to the service type of each user terminal and the calculated priority weight factor; and distributing corresponding resource blocks in corresponding member carriers to each user terminal according to the calculated resource scheduling priority. Therefore, the scheme dynamically allocates the wireless spectrum resources by comprehensively considering the four dimensions of user fairness, carrier load balancing, user experience quality guarantee and channel quality, so that the reasonability of resource allocation is improved, and good compromise can be obtained in scheduling efficiency and complexity.
Specifically, the formula used by the priority weighting factor calculating module 220 to calculate the priority weighting factor of each ue on each component carrier may include:
wherein,characterizing the priority weighting factor of user terminal k on the mth component carrier,characterizing the location weight factor of user terminal k on the m-th component carrier, βmCharacterizing a carrier load weight factor of the mth component carrier;
the formula for calculating the position weight factor of the user terminal k on the mth component carrier may include:
dkcharacterizing a distance value, R, between a user terminal k and a base station devicemCharacterizing a coverage radius of the mth component carrier;
the formula for calculating the carrier load weight factor of the mth component carrier includes:
n denotes the number of resource blocks, σ, contained in the mth component carriermCharacterizing the number of currently occupied resource blocks on the mth component carrier.
Specifically, the formula used by the resource scheduling priority calculating module 230 to calculate the resource scheduling priority of each user terminal on each resource block in each component carrier according to the service type of each user terminal and the calculated priority weighting factor includes:
wherein,characterizing the scheduling priority of the user terminal k on the nth resource block in the mth component carrier at the current time t,characterizing the priority weighting factor of user terminal k on the mth component carrier,characterizing the instantaneous transmission rate of the user terminal k on the nth resource block in the mth component carrier at the current time instant tth,user mean opinion score, R, of user terminal k on nth resource block in mth component carrier at current time t determined based on service type of user terminal kk(t) characterizing the average data rate obtained by the user terminal k on all the component carriers at the current moment t.
Specifically, the formula used by the resource block allocation module 240 to allocate the corresponding resource block in the corresponding component carrier to each ue according to the calculated resource scheduling priority includes:
wherein k is*And characterizing the user terminal distributed on the nth resource block in the mth component carrier.
Specifically, the formula used by the resource scheduling priority calculating module 230 to calculate the average data rate obtained by the user terminal k on all the component carriers at the current time t may include:
wherein R isk(t) characterizing the average data rate obtained by the user terminal k on all component carriers at the current time t,representing the average data rate of the user terminal k on the mth member carrier at the current moment t;
the formula for calculating the average data rate of the user terminal k at the current time t on the mth component carrier may include:
wherein, TcCharacterizing the length of a time window, k*And characterizing the user terminal existing on the mth component carrier at the moment t-1.
Specifically, the service type of the user terminal may include:
one of a VoIP service, a streaming media service, a web browsing service and a file downloading service;
for the VoIP service, the formula used by the resource scheduling priority calculating module 230 to calculate the user mean opinion of the user terminal k on the nth resource block in the mth component carrier at the current time t may include:
wherein, f (Q) represents the user mean opinion score of the user terminal k on the nth resource block in the mth component carrier at the current time instant tth, and Q ═ R (R)k m,n(t)) characterizing the nth resource in the mth component carrier at the current time instant tthTransmission rate factor r of user terminal k on source blockk m,n(t) characterizing the instantaneous transmission rate of the user terminal k on the nth resource block in the mth component carrier at the current moment tth;
for streaming media services, the formula for the resource scheduling priority calculating module 230 to calculate the average opinion score of the user terminal k on the nth resource block in the mth component carrier at the current time t may include:
wherein, f (r)k m,n(t)) represents the user mean opinion score, r, of the user terminal k on the nth resource block in the mth component carrier at the current time instant tthk m,n(t) characterizing the instantaneous transmission rate of the user terminal k on the nth resource block in the mth component carrier at the current time instant tth, a1、a2、a3、a4And PeIs a preset parameter value;
for the web browsing service, the formula for the resource scheduling priority calculating module 230 to calculate the average opinion score of the user terminal k on the nth resource block in the mth component carrier at the current time t includes:
wherein, f (r)k m,n(t)) represents the user mean opinion score, r, of the user terminal k on the nth resource block in the mth component carrier at the current time instant tthk m,n(t) characterizing the instantaneous transmission rate of the user terminal k on the nth resource block in the mth component carrier at the current moment tth;
for the file downloading service, the formula for the resource scheduling priority calculating module 230 to calculate the average opinion score of the user terminal k on the nth resource block in the mth component carrier at the current time t includes:
wherein, f (r)k m,n(t)) represents the user mean opinion score, r, of the user terminal k on the nth resource block in the mth component carrier at the current time instant tthk m,n(t) characterizing the instantaneous transmission rate of the user terminal k on the nth resource block in the mth component carrier at the current time t, a, b, Pe、RminAnd RmaxIs a preset parameter value.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.

Claims (6)

1. A method for scheduling multi-service resources, comprising:
determining at least one user terminal covered by the base station equipment at the current moment;
calculating priority weighting factors of each user terminal on each member carrier, wherein the priority weighting factors comprise position weighting factors and carrier load weighting factors, the position weighting factors are influenced by the distance between the user terminal and the base station equipment, and the carrier load weighting factors are influenced by the current load of the member carrier;
calculating the resource scheduling priority of each user terminal on each resource block in each member carrier according to the service type of each user terminal and the calculated priority weight factor;
distributing corresponding resource blocks in corresponding member carriers to each user terminal according to the calculated resource scheduling priority;
the formula for calculating the priority weighting factor of each user terminal on each member carrier comprises:
wherein,characterizing the priority weighting factor of user terminal k on the mth component carrier,characterizing the location weight factor of user terminal k on the m-th component carrier, βmCharacterizing a carrier load weight factor of the mth component carrier;
the formula for calculating the position weight factor of the user terminal k on the mth component carrier comprises:
dkcharacterizing a distance value, R, between a user terminal k and a base station devicemCharacterizing a coverage radius of the mth component carrier;
the formula for calculating the carrier load weight factor of the mth component carrier includes:
n denotes the number of resource blocks, σ, contained in the mth component carriermCharacterizing the number of currently occupied resource blocks on the mth component carrier.
2. The method of claim 1, wherein the formula for calculating the resource scheduling priority of each ue on each resource block in each component carrier according to the service type of each ue and the calculated priority weighting factor comprises:
wherein,characterizing the scheduling priority of the user terminal k on the nth resource block in the mth component carrier at the current time t,characterizing the priority weighting factor of user terminal k on the mth component carrier,characterizing the instantaneous transmission rate of the user terminal k on the nth resource block in the mth component carrier at the current time instant tth,user mean opinion score, R, of user terminal k on nth resource block in mth component carrier at current time t determined based on service type of user terminal kk(t) characterizing the average data rate obtained by the user terminal k on all the component carriers at the current moment t.
3. The method of claim 2, wherein the formula for allocating the resource blocks in the corresponding component carriers to the user terminals according to the calculated resource scheduling priorities comprises:
wherein k is*And characterizing the user terminal distributed on the nth resource block in the mth component carrier.
4. The method of claim 2, wherein the formula for calculating the average data rate obtained by the user terminal k on all component carriers at the current time t comprises:
wherein R isk(t) characterizing the average data rate obtained by the user terminal k on all component carriers at the current time t,representing the average data rate of the user terminal k on the mth member carrier at the current moment t;
the formula for calculating the average data rate of the user terminal k on the mth component carrier at the current time t includes:
wherein, TcCharacterizing the length of a time window, k*And characterizing the user terminal existing on the mth component carrier at the moment t-1.
5. The method of claim 2, wherein the service type of the user terminal comprises:
one of a VoIP service, a streaming media service, a web browsing service and a file downloading service;
for the VoIP service, the formula for calculating the user mean opinion score of the user terminal k on the nth resource block in the mth component carrier at the current time t includes:
wherein, f (Q) represents the user mean opinion score of the user terminal k on the nth resource block in the mth component carrier at the current time instant tth, and Q ═ R (R)k m,n(t)) characterizes the transmission rate factor r of the user terminal k on the nth resource block in the mth component carrier at the current instant tthk m,n(t) characterizing the instantaneous transmission rate of the user terminal k on the nth resource block in the mth component carrier at the current moment tth;
and, R (R)k m,n(t))＝94-IdWhereincharacterizes the attenuation caused by the time delay of the speech signal, the average data rate of the user terminal k;
for streaming media services, a formula for calculating a user mean opinion score of a user terminal k on an nth resource block in an mth component carrier at a current time t includes:
wherein, f (r)k m,n(t)) represents the user mean opinion score, r, of the user terminal k on the nth resource block in the mth component carrier at the current time instant tthk m,n(t) characterizing the instantaneous transmission rate of the user terminal k on the nth resource block in the mth component carrier at the current time instant tth, a1、a2、a3、a4And PeIs a preset parameter value;
for the web browsing service, the formula for calculating the user mean opinion score of the user terminal k on the nth resource block in the mth component carrier at the current time t includes:
wherein, f (r)k m,n(t)) represents the user mean opinion score, r, of the user terminal k on the nth resource block in the mth component carrier at the current time instant tthk m,n(t) characterizing the instantaneous transmission rate of the user terminal k on the nth resource block in the mth component carrier at the current moment tth;
for the file downloading service, the formula for calculating the user mean opinion score of the user terminal k on the nth resource block in the mth component carrier at the current time t includes:
wherein, f (r)k m,n(t)) represents the user mean opinion score, r, of the user terminal k on the nth resource block in the mth component carrier at the current time instant tthk m,n(t) characterizing the instantaneous transmission rate of the user terminal k on the nth resource block in the mth component carrier at the current time t, a, b, Pe、RminAnd RmaxIs a preset parameter value.
6. A multi-service resource scheduling apparatus, comprising:
a user terminal determining module, configured to determine at least one user terminal covered by the base station device at the current time;
the priority weighting factor calculation module is used for calculating priority weighting factors of each user terminal on each member carrier, wherein the priority weighting factors comprise position weighting factors and carrier load weighting factors, the position weighting factors are influenced by the distance between the user terminal and the base station equipment, and the carrier load weighting factors are influenced by the current load of the member carriers;
a resource scheduling priority calculating module, configured to calculate resource scheduling priorities of the user terminals on each resource block in each component carrier according to the service types of the user terminals and the calculated priority weight factors;
a resource block allocation module for allocating a corresponding resource block in a corresponding member carrier to each user terminal according to the calculated resource scheduling priority;
the formula used by the priority weighting factor calculation module to calculate the priority weighting factor of each ue on each component carrier may include:
wherein,characterizing the priority weighting factor of user terminal k on the mth component carrier,characterizing the location weight factor of user terminal k on the m-th component carrier, βmCharacterizing a carrier load weight factor of the mth component carrier;
the formula for calculating the position weight factor of the user terminal k on the mth component carrier may include:
dkcharacterizing a distance value, R, between a user terminal k and a base station devicemCharacterizing a coverage radius of the mth component carrier;
the formula for calculating the carrier load weight factor of the mth component carrier includes:
n denotes the number of resource blocks, σ, contained in the mth component carriermCharacterizing the number of currently occupied resource blocks on the mth component carrier.
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