CN104980934A - Method and device for scheduling multi-service resources - Google Patents

Abstract

The embodiments of the present invention provide a method and a device for scheduling multi-service resources. The method comprises the steps of determining at least one user terminal within the coverage of base station equipment at the current moment; calculating the priority weighting factor of each user terminal at each component carrier; according to the service type of each user terminal and the priority weighting factor calculated through the above process, figuring out the resource scheduling priority of the user terminal on the resource block of each component carrier; according to the resource scheduling priority obtained through the above process, allocating corresponding resource blocks in respective component carriers to corresponding user terminals. The above priority weighting factor is composed of a location weighting factor and a carrier load weighting factor. The location weighting factor is influenced by the distance between the user terminal and the base station equipment. The carrier load weighting factor is influenced by the current load of the component carrier. According to the technical scheme of the invention, wireless spectrum resources are dynamically allocated, so that the resource allocation rationality is improved.

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:

<math> <mrow> <msubsup> <mi>W</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>=</mo> <msubsup> <mi>&alpha;</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>&CenterDot;</mo> <msup> <mi>&beta;</mi> <mi>m</mi> </msup> <mo>;</mo> </mrow> </math>

wherein,characterizing the priority weighting factor of user terminal k on the mth component carrier,characterizing the position weight factor, beta, of the user terminal k on the mth component carrier^mCharacterizing 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:

<math> <mrow> <msubsup> <mi>&alpha;</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>=</mo> <mfenced open = '{' close = ''> <mtable> <mtr> <mtd> <mrow> <mfrac> <msub> <mi>d</mi> <mi>k</mi> </msub> <msub> <mi>R</mi> <mi>m</mi> </msub> </mfrac> <mo>,</mo> <msub> <mi>d</mi> <mi>k</mi> </msub> <mo>&lt;</mo> <msub> <mi>R</mi> <mi>m</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> <msub> <mi>d</mi> <mi>k</mi> </msub> <mo>&GreaterEqual;</mo> <msub> <mi>R</mi> <mi>m</mi> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow> </math>

d_kcharacterizing a distance value, R, between a user terminal k and a base station device_mCharacterizing a coverage radius of the mth component carrier;

the formula for calculating the carrier load weight factor of the mth component carrier includes:

<math> <mrow> <msup> <mi>&beta;</mi> <mi>m</mi> </msup> <mo>=</mo> <mi>exp</mi> <mrow> <mo>(</mo> <mfrac> <mrow> <mi>N</mi> <mo>-</mo> <msup> <mi>&sigma;</mi> <mi>m</mi> </msup> </mrow> <mi>N</mi> </mfrac> <mo>)</mo> </mrow> </mrow> </math>

n denotes the number of resource blocks, σ, contained in the mth component carrier^mCharacterizing 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:

<math> <mrow> <msubsup> <mi>P</mi> <mi>k</mi> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <msubsup> <mi>W</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>&CenterDot;</mo> <mi>f</mi> <mrow> <mo>(</mo> <msubsup> <mi>r</mi> <mi>k</mi> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msubsup> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>)</mo> </mrow> <mo>&CenterDot;</mo> <mfrac> <mrow> <msubsup> <mi>r</mi> <mi>k</mi> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> <mrow> <msub> <mi>R</mi> <mi>k</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> </mfrac> </mrow> </math>

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,determined for the type of service based on user terminal kUser mean opinion score, R, of user terminal k on nth resource block in mth component carrier at current time t_k(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:

$k^{*}=\arg \underset{k}{max}{P}_k^{m,n}\left(t\right)$

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:

<math> <mrow> <msub> <mi>R</mi> <mi>k</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <munder> <mo>&Sigma;</mo> <mrow> <msub> <mi>CC</mi> <mi>m</mi> </msub> <mo>&Subset;</mo> <msub> <mi>&Omega;</mi> <mi>k</mi> </msub> </mrow> </munder> <msubsup> <mi>R</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> </math>

wherein R is_k(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:

<math> <mrow> <msubsup> <mi>R</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = '{' close = ''> <mtable> <mtr> <mtd> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <mfrac> <mn>1</mn> <msub> <mi>T</mi> <mi>c</mi> </msub> </mfrac> <mo>)</mo> <msubsup> <mi>R</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>(</mo> <mi>t</mi> <mo>-</mo> <mn>1</mn> <mo>)</mo> <mo>+</mo> <mfrac> <mn>1</mn> <msub> <mi>T</mi> <mi>c</mi> </msub> </mfrac> <mo>&CenterDot;</mo> <msubsup> <mi>r</mi> <mi>k</mi> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msubsup> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>k</mi> <mo>=</mo> <msup> <mi>k</mi> <mo>*</mo> </msup> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <mfrac> <mn>1</mn> <msub> <mi>T</mi> <mi>c</mi> </msub> </mfrac> <mo>)</mo> <msubsup> <mi>R</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>(</mo> <mi>t</mi> <mo>-</mo> <mn>1</mn> <mo>)</mo> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>k</mi> <mo>&NotEqual;</mo> <msup> <mi>k</mi> <mo>*</mo> </msup> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow> </math>

wherein, T_cCharacterizing 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:

<math> <mrow> <mi>f</mi> <mrow> <mo>(</mo> <mi>Q</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = '{' close = ''> <mtable> <mtr> <mtd> <mrow> <mn>1</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>Q</mi> <mo>&lt;</mo> <mn>0</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>1</mn> <mo>+</mo> <mn>0.035</mn> <mi>Q</mi> <mo>+</mo> <mn>7</mn> <mo>&CenterDot;</mo> <msup> <mn>10</mn> <mrow> <mo>-</mo> <mn>6</mn> </mrow> </msup> <mi>Q</mi> <mrow> <mo>(</mo> <mi>Q</mi> <mo>-</mo> <mn>60</mn> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <mn>100</mn> <mo>-</mo> <mi>Q</mi> <mo>)</mo> </mrow> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mn>0</mn> <mo>&le;</mo> <mi>Q</mi> <mo>&le;</mo> <mn>100</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>4.5</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>Q</mi> <mo>&gt;</mo> <mn>100</mn> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow> </math>

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 current time instant tthTransmission rate factor r of user terminal k on nth resource block in m component carriers_k ^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-I_dWherein <math> <mrow> <msub> <mi>I</mi> <mi>d</mi> </msub> <mo>=</mo> <mn>25</mn> <mo>{</mo> <msup> <mrow> <mo>(</mo> <mn>1</mn> <mo>+</mo> <msub> <mi>log</mi> <mn>2</mn> </msub> <msup> <mrow> <mo>(</mo> <mfrac> <msub> <mi>T</mi> <mi>&alpha;</mi> </msub> <mn>100</mn> </mfrac> <mo>)</mo> </mrow> <mn>6</mn> </msup> <mo>)</mo> </mrow> <mfrac> <mn>1</mn> <mn>6</mn> </mfrac> </msup> <mo>-</mo> <mn>3</mn> <msup> <mrow> <mo>&lsqb;</mo> <mn>1</mn> <mo>+</mo> <msup> <mrow> <mo>(</mo> <mfrac> <mrow> <msub> <mi>log</mi> <mn>2</mn> </msub> <mrow> <mo>(</mo> <mfrac> <msub> <mi>T</mi> <mi>&alpha;</mi> </msub> <mn>100</mn> </mfrac> <mo>)</mo> </mrow> </mrow> <mn>3</mn> </mfrac> <mo>)</mo> </mrow> <mn>6</mn> </msup> <mo>&rsqb;</mo> </mrow> <mfrac> <mn>1</mn> <mn>6</mn> </mfrac> </msup> <mo>+</mo> <mn>2</mn> <mo>}</mo> </mrow> </math> characterizes 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:

<math> <mrow> <mi>f</mi> <mrow> <mo>(</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>)</mo> </mrow> <mo>=</mo> <msub> <mi>a</mi> <mn>1</mn> </msub> <mo>{</mo> <mrow> <mfrac> <mn>1</mn> <mrow> <mn>1</mn> <mo>+</mo> <msup> <mi>e</mi> <mrow> <mo>-</mo> <msub> <mi>a</mi> <mn>2</mn> </msub> <mo>&lsqb;</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <mrow> <mn>1</mn> <mo>-</mo> <msub> <mi>P</mi> <mi>e</mi> </msub> </mrow> <mo>)</mo> </mrow> <mo>-</mo> <msub> <mi>a</mi> <mn>3</mn> </msub> <mo>&rsqb;</mo> </mrow> </msup> </mrow> </mfrac> <mo>+</mo> <msub> <mi>a</mi> <mn>4</mn> </msub> </mrow> <mo>}</mo> </mrow> </math>

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 tth_k ^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 P_eIs 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:

$f\left({r_k}^{m,n}\right(t\left)\right)=5-\frac{578}{1+{(11.77+11305{r_k}^{m,n}(t\left)\right)}^2}$

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 tth_k ^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:

<math> <mrow> <mi>f</mi> <mrow> <mo>(</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = '{' close = ''> <mtable> <mtr> <mtd> <mrow> <mn>1</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>&lt;</mo> <msub> <mi>R</mi> <mi>min</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mi>a</mi> <mo>*</mo> <mi>ln</mi> <mo>&lsqb;</mo> <mi>b</mi> <mo>*</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>*</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msub> <mi>P</mi> <mi>e</mi> </msub> <mo>)</mo> </mrow> <mo>&rsqb;</mo> <mo>-</mo> <mn>2.6411</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msub> <mi>R</mi> <mi>min</mi> </msub> <mo>&le;</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>&lt;</mo> <msub> <mi>R</mi> <mi>max</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>5</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msub> <mi>R</mi> <mi>max</mi> </msub> <mo>&le;</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mi>k</mi> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow> </math>

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 tth_k ^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, P_e、R_minAnd R_maxIs 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.

The time-frequency resource of each Component Carrier (CC) is divided into several Resource Blocks (RBs), as the smallest resource unit, each RB can only be allocated to one UE. The downlink LTE-A system aggregates M CCs, and the CCs of different frequency bands have the same bandwidth and transmitting power. By CC_mDenotes 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:

${\mathrm{PL}}_k^m=58.83+37.6{\mathrm{lgd}}_k+21{\mathrm{lgf}}_m---\left(1\right)$

wherein d is_kThe unit is km, which is the distance between a user terminal k and an eNodeB; f. of_mIs CC_mIn MHz; PL_thThe 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>…>f_M,R₁<R₂<R₃<…<R_M (2)

wherein R is_mIs CC_mWhen the distance between the user terminal and the eNodeB is larger than R_mThen, the user will not be able to access the CC_mUsing the set omega_kIndicates CC resources that can be allocated to user terminal k, <math> <mrow> <msub> <mi>&Omega;</mi> <mi>k</mi> </msub> <mo>=</mo> <mrow> <mo>{</mo> <mrow> <mrow> <mrow> <msub> <mi>CC</mi> <mi>m</mi> </msub> </mrow> <mo>|</mo> </mrow> <msubsup> <mi>PL</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>&le;</mo> <msub> <mi>PL</mi> <mrow> <mi>t</mi> <mi>h</mi> </mrow> </msub> <mo>,</mo> <mn>1</mn> <mo>&le;</mo> <mi>m</mi> <mo>&le;</mo> <mi>M</mi> </mrow> <mo>}</mo> </mrow> <mo>.</mo> </mrow> </math>

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 having different radio wave propagation characteristics, a scheduling policy based on the multi-service resource scheduling method provided in the embodiment of the present invention is divided into two stages, i.e., a priority weight calculation stage and a resource allocation stage, and a scheduling model schematic diagram corresponding to the scheduling policy may be as shown in fig. 3, where a resource scheduling process given by the scheduling model indicates that priority weight factors of each ue on each CC are respectively calculated, and then RBs on available CCs are allocated to each ue based on the calculated priority weight factors, it should be noted that a buffer k corresponding to a ue k shown in fig. 3 specifically indicates: cancellation of service requested by user terminal kAnd the data packet to be transmitted in the information queue. Also, to optimize system performance, there should be approximately equal load on different CCs, which may be the load σ_mTo represent CC_mThe 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 turn_mThe 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:

<math> <mrow> <msubsup> <mi>W</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>=</mo> <msubsup> <mi>&alpha;</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>&CenterDot;</mo> <msup> <mi>&beta;</mi> <mi>m</mi> </msup> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>3</mn> <mo>)</mo> </mrow> </mrow> </math>

wherein,characterizing the priority weighting factor of user terminal k on the mth component carrier,characterizing the position weight factor, beta, of the user terminal k on the mth component carrier^mCharacterizing 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:

<math> <mrow> <msubsup> <mi>&alpha;</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>=</mo> <mfenced open = '{' close = ''> <mtable> <mtr> <mtd> <mrow> <mfrac> <msub> <mi>d</mi> <mi>k</mi> </msub> <msub> <mi>R</mi> <mi>m</mi> </msub> </mfrac> <mo>,</mo> <msub> <mi>d</mi> <mi>k</mi> </msub> <mo>&lt;</mo> <msub> <mi>R</mi> <mi>m</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> <msub> <mi>d</mi> <mi>k</mi> </msub> <mo>&GreaterEqual;</mo> <msub> <mi>R</mi> <mi>m</mi> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>4</mn> <mo>)</mo> </mrow> </mrow> </math>

wherein d is_kCharacterizing a distance value, R, between a user terminal k and a base station device_mCharacterizing 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:

<math> <mrow> <msup> <mi>&beta;</mi> <mi>m</mi> </msup> <mo>=</mo> <mi>exp</mi> <mrow> <mo>(</mo> <mfrac> <mrow> <mi>N</mi> <mo>-</mo> <msup> <mi>&sigma;</mi> <mi>m</mi> </msup> </mrow> <mi>N</mi> </mfrac> <mo>)</mo> </mrow> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>5</mn> <mo>)</mo> </mrow> </mrow> </math>

wherein, N represents the number of resource blocks contained in the mth component carrier, sigma^mCharacterizing currently occupied resource blocks on the mth component carrierThe number of the cells.

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:

<math> <mrow> <msubsup> <mi>P</mi> <mi>k</mi> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <msubsup> <mi>W</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>&CenterDot;</mo> <mi>f</mi> <mrow> <mo>(</mo> <msubsup> <mi>r</mi> <mi>k</mi> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msubsup> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>)</mo> </mrow> <mo>&CenterDot;</mo> <mfrac> <mrow> <msubsup> <mi>r</mi> <mi>k</mi> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> <mrow> <msub> <mi>R</mi> <mi>k</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>6</mn> <mo>)</mo> </mrow> </mrow> </math>

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_k(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:

<math> <mrow> <msub> <mi>R</mi> <mi>k</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <munder> <mo>&Sigma;</mo> <mrow> <msub> <mi>CC</mi> <mi>m</mi> </msub> <mo>&Subset;</mo> <msub> <mi>&Omega;</mi> <mi>k</mi> </msub> </mrow> </munder> <msubsup> <mi>R</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>7</mn> <mo>)</mo> </mrow> </mrow> </math>

wherein R is_k(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:

<math> <mrow> <msubsup> <mi>R</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = '{' close = ''> <mtable> <mtr> <mtd> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <mfrac> <mn>1</mn> <msub> <mi>T</mi> <mi>c</mi> </msub> </mfrac> <mo>)</mo> <msubsup> <mi>R</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>(</mo> <mi>t</mi> <mo>-</mo> <mn>1</mn> <mo>)</mo> <mo>+</mo> <mfrac> <mn>1</mn> <msub> <mi>T</mi> <mi>c</mi> </msub> </mfrac> <mo>&CenterDot;</mo> <msubsup> <mi>r</mi> <mi>k</mi> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msubsup> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>k</mi> <mo>=</mo> <msup> <mi>k</mi> <mo>*</mo> </msup> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <mfrac> <mn>1</mn> <msub> <mi>T</mi> <mi>c</mi> </msub> </mfrac> <mo>)</mo> <msubsup> <mi>R</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>(</mo> <mi>t</mi> <mo>-</mo> <mn>1</mn> <mo>)</mo> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>k</mi> <mo>&NotEqual;</mo> <msup> <mi>k</mi> <mo>*</mo> </msup> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>8</mn> <mo>)</mo> </mrow> </mrow> </math>

wherein, T_cCharacterizing the length of a time 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:

$k^{*}=\arg \underset{k}{max}{P}_k^{m,n}\left(t\right)---\left(9\right)$

wherein k is^*And characterizing the user terminal distributed on the nth resource block in the mth component carrier.

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:

<math> <mrow> <mi>f</mi> <mrow> <mo>(</mo> <mi>R</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = '{' close = ''> <mtable> <mtr> <mtd> <mrow> <mn>1</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>R</mi> <mo>&lt;</mo> <mn>0</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>1</mn> <mo>+</mo> <mn>0.035</mn> <mi>R</mi> <mo>+</mo> <mn>7</mn> <mo>&CenterDot;</mo> <msup> <mn>10</mn> <mrow> <mo>-</mo> <mn>6</mn> </mrow> </msup> <mi>R</mi> <mrow> <mo>(</mo> <mi>R</mi> <mo>-</mo> <mn>60</mn> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <mn>100</mn> <mo>-</mo> <mi>R</mi> <mo>)</mo> </mrow> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mn>0</mn> <mo>&le;</mo> <mi>R</mi> <mo>&le;</mo> <mn>100</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>4.5</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>R</mi> <mo>&gt;</mo> <mn>100</mn> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>10</mn> <mo>)</mo> </mrow> </mrow> </math>

r depends mainly on the 5 parameters shown in equation 11, equation 11 is as follows:

R＝R_o-I_s-I_d-I_eff+A (11)

wherein R is_oFor basic signal-to-noise ratio, I_sFor speech signal attenuation, I_dFor attenuation by time delay of speech signals, I_effFor the device attenuation factor, A is a dominant factor related to the type of communication scenario, and in an ideal environment, R may be set_o94 and I_s＝A＝I_effTherefore, equation 11 can be simplified as:

R＝94-I_d (12)

I_dis an absolute time delay T_aFunction of (c):

<math> <mrow> <msub> <mi>I</mi> <mi>d</mi> </msub> <mrow> <mo>(</mo> <msub> <mi>T</mi> <mi>a</mi> </msub> <mo>)</mo> </mrow> <mo>=</mo> <mn>25</mn> <mo>{</mo> <msup> <mrow> <mo>(</mo> <mn>1</mn> <mo>+</mo> <msub> <mi>log</mi> <mn>2</mn> </msub> <msup> <mrow> <mo>(</mo> <mfrac> <msub> <mi>T</mi> <mi>a</mi> </msub> <mn>100</mn> </mfrac> <mo>)</mo> </mrow> <mn>6</mn> </msup> <mo>)</mo> </mrow> <mfrac> <mn>1</mn> <mn>6</mn> </mfrac> </msup> <mo>-</mo> <mn>3</mn> <msup> <mrow> <mo>&lsqb;</mo> <mn>1</mn> <mo>+</mo> <msup> <mrow> <mo>(</mo> <mfrac> <mrow> <msub> <mi>log</mi> <mn>2</mn> </msub> <mrow> <mo>(</mo> <mfrac> <msub> <mi>T</mi> <mi>a</mi> </msub> <mn>100</mn> </mfrac> <mo>)</mo> </mrow> </mrow> <mn>3</mn> </mfrac> <mo>)</mo> </mrow> <mn>6</mn> </msup> <mo>&rsqb;</mo> </mrow> <mfrac> <mn>1</mn> <mn>6</mn> </mfrac> </msup> <mo>+</mo> <mn>2</mn> <mo>}</mo> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>13</mn> <mo>)</mo> </mrow> </mrow> </math>

T_a(r_k)＝T_pack+T_m+T_q+T_q,AI(r_k)+T_se(r_k) (14)

wherein, T_packFor packet delay, T_mTo minimize the total delay, T_qFor total queuing delay, T, other than the air interface_se(r_k) Is a serial delay. T is_pack+T_m+T_qThe value is 124ms, T_q,AI(r_k) Is defined asT_se(r_k) Is defined asT_TTIRepresenting the duration of the transmission time interval,is the average data rate, r, of the user terminal k_kIs the instantaneous transmission rate of user terminal k. Since one TTI is usually 1ms in LTE-A, T can be set considering the uplink and downlink transmission delay_TTIIs 2ms, therefore, T_aCan be expressed as r_kFunction of (c):

<math> <mrow> <msub> <mi>T</mi> <mi>a</mi> </msub> <mrow> <mo>(</mo> <msub> <mi>r</mi> <mi>k</mi> </msub> <mo>)</mo> </mrow> <mo>=</mo> <mn>124</mn> <mo>+</mo> <mn>3</mn> <mfrac> <msub> <mi>r</mi> <mi>k</mi> </msub> <mover> <msub> <mi>R</mi> <mi>k</mi> </msub> <mo>&OverBar;</mo> </mover> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>15</mn> <mo>)</mo> </mrow> </mrow> </math>

finally, an r can be designed by combining equations 10, 12, 13 and 15_kTo calculate the MOS value of VoIP, i.e.:

<math> <mrow> <mi>f</mi> <mrow> <mo>(</mo> <mi>R</mi> <mo>(</mo> <msub> <mi>r</mi> <mi>k</mi> </msub> <mo>)</mo> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = '{' close = ''> <mtable> <mtr> <mtd> <mrow> <mn>1</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>R</mi> <mrow> <mo>(</mo> <msub> <mi>r</mi> <mi>k</mi> </msub> <mo>)</mo> </mrow> <mo>&lt;</mo> <mn>0</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>1</mn> <mo>+</mo> <mn>0.035</mn> <mi>R</mi> <mrow> <mo>(</mo> <msub> <mi>r</mi> <mi>k</mi> </msub> <mo>)</mo> </mrow> <mo>+</mo> <mn>7</mn> <mo>&CenterDot;</mo> <msup> <mn>10</mn> <mrow> <mo>-</mo> <mn>6</mn> </mrow> </msup> <mi>R</mi> <mrow> <mo>(</mo> <msub> <mi>r</mi> <mi>k</mi> </msub> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <mi>R</mi> <mo>(</mo> <msub> <mi>r</mi> <mi>k</mi> </msub> <mo>)</mo> <mo>-</mo> <mn>60</mn> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <mn>100</mn> <mo>-</mo> <mi>R</mi> <mo>(</mo> <msub> <mi>r</mi> <mi>k</mi> </msub> <mo>)</mo> <mo>)</mo> </mrow> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mn>0</mn> <mo>&le;</mo> <mi>R</mi> <mrow> <mo>(</mo> <msub> <mi>r</mi> <mi>k</mi> </msub> <mo>)</mo> </mrow> <mo>&le;</mo> <mn>100</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>4.5</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>R</mi> <mrow> <mo>(</mo> <msub> <mi>r</mi> <mi>k</mi> </msub> <mo>)</mo> </mrow> <mo>&gt;</mo> <mn>100</mn> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>16</mn> <mo>)</mo> </mrow> </mrow> </math>

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:

<math> <mrow> <mi>f</mi> <mrow> <mo>(</mo> <mi>Q</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = '{' close = ''> <mtable> <mtr> <mtd> <mrow> <mn>1</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>Q</mi> <mo>&lt;</mo> <mn>0</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>1</mn> <mo>+</mo> <mn>0.035</mn> <mi>Q</mi> <mo>+</mo> <mn>7</mn> <mo>&CenterDot;</mo> <msup> <mn>10</mn> <mrow> <mo>-</mo> <mn>6</mn> </mrow> </msup> <mi>Q</mi> <mrow> <mo>(</mo> <mi>Q</mi> <mo>-</mo> <mn>60</mn> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <mn>100</mn> <mo>-</mo> <mi>Q</mi> <mo>)</mo> </mrow> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mn>0</mn> <mo>&le;</mo> <mi>Q</mi> <mo>&le;</mo> <mn>100</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>4.5</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>Q</mi> <mo>&gt;</mo> <mn>100</mn> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>17</mn> <mo>)</mo> </mrow> </mrow> </math>

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 tth_k ^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-I_dWherein <math> <mrow> <msub> <mi>I</mi> <mi>d</mi> </msub> <mo>=</mo> <mn>25</mn> <mo>{</mo> <msup> <mrow> <mo>(</mo> <mn>1</mn> <mo>+</mo> <msub> <mi>log</mi> <mn>2</mn> </msub> <msup> <mrow> <mo>(</mo> <mfrac> <msub> <mi>T</mi> <mi>&alpha;</mi> </msub> <mn>100</mn> </mfrac> <mo>)</mo> </mrow> <mn>6</mn> </msup> <mo>)</mo> </mrow> <mfrac> <mn>1</mn> <mn>6</mn> </mfrac> </msup> <mo>-</mo> <mn>3</mn> <msup> <mrow> <mo>&lsqb;</mo> <mn>1</mn> <mo>+</mo> <msup> <mrow> <mo>(</mo> <mfrac> <mrow> <msub> <mi>log</mi> <mn>2</mn> </msub> <mrow> <mo>(</mo> <mfrac> <msub> <mi>T</mi> <mi>&alpha;</mi> </msub> <mn>100</mn> </mfrac> <mo>)</mo> </mrow> </mrow> <mn>3</mn> </mfrac> <mo>)</mo> </mrow> <mn>6</mn> </msup> <mo>&rsqb;</mo> </mrow> <mfrac> <mn>1</mn> <mn>6</mn> </mfrac> </msup> <mo>+</mo> <mn>2</mn> <mo>}</mo> </mrow> </math> characterizes the attenuation caused by the time delay of the speech signal, is the average data rate of user terminal k.

(2) For streaming media services:

the user's subjective perception of network video services is affected by many QoS metrics, including application level QoS related to frame rate and transmission bit rate, and related to packet error rate, delay, jitterAnd so on, network level QoS. Wherein when r is_kBetween certain threshold ranges, the MOS will follow r_kIs increased significantly, and when r is increased_kBeyond the threshold, the MOS will change slowly. Therefore, the MOS of the streaming media service can be modeled as an S-function, as follows:

<math> <mrow> <mi>f</mi> <mrow> <mo>(</mo> <msub> <mi>r</mi> <mi>k</mi> </msub> <mo>)</mo> </mrow> <mo>=</mo> <msub> <mi>a</mi> <mn>1</mn> </msub> <mo>{</mo> <mrow> <mfrac> <mn>1</mn> <mrow> <mn>1</mn> <mo>+</mo> <msup> <mi>e</mi> <mrow> <mo>-</mo> <msub> <mi>a</mi> <mn>2</mn> </msub> <mo>&lsqb;</mo> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mo>(</mo> <mrow> <mn>1</mn> <mo>-</mo> <msub> <mi>P</mi> <mi>e</mi> </msub> </mrow> <mo>)</mo> </mrow> <mo>-</mo> <msub> <mi>a</mi> <mn>3</mn> </msub> <mo>&rsqb;</mo> </mrow> </msup> </mrow> </mfrac> <mo>+</mo> <msub> <mi>a</mi> <mn>4</mn> </msub> </mrow> <mo>}</mo> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>18</mn> <mo>)</mo> </mrow> </mrow> </math>

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, P_e＝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:

<math> <mrow> <mi>f</mi> <mrow> <mo>(</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>)</mo> </mrow> <mo>=</mo> <msub> <mi>a</mi> <mn>1</mn> </msub> <mo>{</mo> <mrow> <mfrac> <mn>1</mn> <mrow> <mn>1</mn> <mo>+</mo> <msup> <mi>e</mi> <mrow> <mo>-</mo> <msub> <mi>a</mi> <mn>2</mn> </msub> <mo>&lsqb;</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <mrow> <mn>1</mn> <mo>-</mo> <msub> <mi>P</mi> <mi>e</mi> </msub> </mrow> <mo>)</mo> </mrow> <mo>-</mo> <msub> <mi>a</mi> <mn>3</mn> </msub> <mo>&rsqb;</mo> </mrow> </msup> </mrow> </mfrac> <mo>+</mo> <msub> <mi>a</mi> <mn>4</mn> </msub> </mrow> <mo>}</mo> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>19</mn> <mo>)</mo> </mrow> </mrow> </math>

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 tth_k ^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 P_eIs 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:

$MOS=5-\frac{578}{1+{(11.77+\frac{22.61}{d})}^2}---\left(20\right)$

where d represents the service response time, measured in seconds.

Wherein the user is in throughput, latency, etc,There is no intuitive feel in jitter and some other QoS parameters, but rather much focus on the speed of the browser's response and the duration of the web page's download. Thus, service response time passes through FS_k/r_kGiven that FS_kThe average is 2Mb for the web page size. Finally, equation 20 can be rewritten as equation 21, as follows:

$f\left(r_k\right)=5-\frac{578}{1+{(11.77+11305r_k)}^2}---\left(21\right)$

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:

$f\left({r_k}^{m,n}\right(t\left)\right)=5-\frac{578}{1+{(11.77+11305{r_k}^{m,n}(t\left)\right)}^2}---\left(22\right)$

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 tth_k ^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 r_kAt R_minAnd R_maxIn between, the utility function is a continuously differentiable strictly convex function of the increment of the data rate, R_minIs a lower threshold, the user will be very dissatisfied with the service when the data transmission rate is lower than the lower threshold, and the data rate is higher than the upper threshold R_maxThen, the user will experience good, based on the above assumption, the MOS can be calculated as follows:

<math> <mrow> <mi>f</mi> <mrow> <mo>(</mo> <msub> <mi>r</mi> <mi>k</mi> </msub> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = '{' close = ''> <mtable> <mtr> <mtd> <mrow> <mn>1</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msub> <mi>r</mi> <mi>k</mi> </msub> <mo>&lt;</mo> <msub> <mi>R</mi> <mi>min</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mi>a</mi> <mo>*</mo> <mi>l</mi> <mi>n</mi> <mo>&lsqb;</mo> <mi>b</mi> <mo>*</mo> <msub> <mi>r</mi> <mi>k</mi> </msub> <mo>*</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msub> <mi>P</mi> <mi>e</mi> </msub> <mo>)</mo> </mrow> <mo>&rsqb;</mo> <mo>-</mo> <mn>2.6411</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msub> <mi>R</mi> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> </msub> <mo>&le;</mo> <msub> <mi>r</mi> <mi>k</mi> </msub> <mo>&lt;</mo> <msub> <mi>R</mi> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>5</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msub> <mi>R</mi> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> <mo>&le;</mo> <msub> <mi>r</mi> <mi>k</mi> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>23</mn> <mo>)</mo> </mrow> </mrow> </math>

wherein a, b, P can be determined by processing the collected data by a method of fitting a logarithmic curve_e、R_min、R_maxValues 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:

<math> <mrow> <mi>f</mi> <mrow> <mo>(</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = '{' close = ''> <mtable> <mtr> <mtd> <mrow> <mn>1</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>&lt;</mo> <msub> <mi>R</mi> <mi>min</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mi>a</mi> <mo>*</mo> <mi>ln</mi> <mo>&lsqb;</mo> <mi>b</mi> <mo>*</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>*</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msub> <mi>P</mi> <mi>e</mi> </msub> <mo>)</mo> </mrow> <mo>&rsqb;</mo> <mo>-</mo> <mn>2.6411</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msub> <mi>R</mi> <mi>min</mi> </msub> <mo>&le;</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>&lt;</mo> <msub> <mi>R</mi> <mi>max</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>5</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msub> <mi>R</mi> <mi>max</mi> </msub> <mo>&le;</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mi>k</mi> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>24</mn> <mo>)</mo> </mrow> </mrow> </math>

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 tth_k ^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, P_e、R_minAnd R_maxIs 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:

<math> <mrow> <msubsup> <mi>W</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>=</mo> <msubsup> <mi>&alpha;</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>&CenterDot;</mo> <msup> <mi>&beta;</mi> <mi>m</mi> </msup> <mo>;</mo> </mrow> </math>

wherein,characterizing the priority weighting factor of user terminal k on the mth component carrier,characterizing the position weight factor, beta, of the user terminal k on the mth component carrier^mCharacterizing 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:

<math> <mrow> <msubsup> <mi>&alpha;</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>=</mo> <mfenced open = '{' close = ''> <mtable> <mtr> <mtd> <mrow> <mfrac> <msub> <mi>d</mi> <mi>k</mi> </msub> <msub> <mi>R</mi> <mi>m</mi> </msub> </mfrac> <mo>,</mo> <msub> <mi>d</mi> <mi>k</mi> </msub> <mo>&lt;</mo> <msub> <mi>R</mi> <mi>m</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> <msub> <mi>d</mi> <mi>k</mi> </msub> <mo>&GreaterEqual;</mo> <msub> <mi>R</mi> <mi>m</mi> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow> </math>

d_kcharacterizing a distance value, R, between a user terminal k and a base station device_mCharacterizing a coverage radius of the mth component carrier;

the formula for calculating the carrier load weight factor of the mth component carrier includes:

<math> <mrow> <msup> <mi>&beta;</mi> <mi>m</mi> </msup> <mo>=</mo> <mi>exp</mi> <mrow> <mo>(</mo> <mfrac> <mrow> <mi>N</mi> <mo>-</mo> <msup> <mi>&sigma;</mi> <mi>m</mi> </msup> </mrow> <mi>N</mi> </mfrac> <mo>)</mo> </mrow> </mrow> </math>

n denotes the number of resource blocks, σ, contained in the mth component carrier^mCharacterizing 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:

<math> <mrow> <msubsup> <mi>P</mi> <mi>k</mi> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <msubsup> <mi>W</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>&CenterDot;</mo> <mi>f</mi> <mrow> <mo>(</mo> <msubsup> <mi>r</mi> <mi>k</mi> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msubsup> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>)</mo> </mrow> <mo>&CenterDot;</mo> <mfrac> <mrow> <msubsup> <mi>r</mi> <mi>k</mi> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> <mrow> <msub> <mi>R</mi> <mi>k</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> </mfrac> </mrow> </math>

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 k_k(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:

$k^{*}=\arg \underset{k}{max}{P}_k^{m,n}\left(t\right)$

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:

<math> <mrow> <msub> <mi>R</mi> <mi>k</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <munder> <mo>&Sigma;</mo> <mrow> <msub> <mi>CC</mi> <mi>m</mi> </msub> <mo>&Subset;</mo> <msub> <mi>&Omega;</mi> <mi>k</mi> </msub> </mrow> </munder> <msubsup> <mi>R</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> </math>

wherein R is_k(t) characterizing the average data rate obtained by the user terminal k on all component carriers at the current time t,representing the average value of the user terminal k at the current moment t on the mth component carrierAverage data rate;

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:

<math> <mrow> <msubsup> <mi>R</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = '{' close = ''> <mtable> <mtr> <mtd> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <mfrac> <mn>1</mn> <msub> <mi>T</mi> <mi>c</mi> </msub> </mfrac> <mo>)</mo> <msubsup> <mi>R</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>(</mo> <mi>t</mi> <mo>-</mo> <mn>1</mn> <mo>)</mo> <mo>+</mo> <mfrac> <mn>1</mn> <msub> <mi>T</mi> <mi>c</mi> </msub> </mfrac> <mo>&CenterDot;</mo> <msubsup> <mi>r</mi> <mi>k</mi> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msubsup> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>k</mi> <mo>=</mo> <msup> <mi>k</mi> <mo>*</mo> </msup> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <mfrac> <mn>1</mn> <msub> <mi>T</mi> <mi>c</mi> </msub> </mfrac> <mo>)</mo> <msubsup> <mi>R</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>(</mo> <mi>t</mi> <mo>-</mo> <mn>1</mn> <mo>)</mo> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>k</mi> <mo>&NotEqual;</mo> <msup> <mi>k</mi> <mo>*</mo> </msup> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow> </math>

wherein, T_cCharacterizing 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:

<math> <mrow> <mi>f</mi> <mrow> <mo>(</mo> <mi>Q</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = '{' close = ''> <mtable> <mtr> <mtd> <mrow> <mn>1</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>Q</mi> <mo>&lt;</mo> <mn>0</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>1</mn> <mo>+</mo> <mn>0.035</mn> <mi>Q</mi> <mo>+</mo> <mn>7</mn> <mo>&CenterDot;</mo> <msup> <mn>10</mn> <mrow> <mo>-</mo> <mn>6</mn> </mrow> </msup> <mi>Q</mi> <mrow> <mo>(</mo> <mi>Q</mi> <mo>-</mo> <mn>60</mn> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <mn>100</mn> <mo>-</mo> <mi>Q</mi> <mo>)</mo> </mrow> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mn>0</mn> <mo>&le;</mo> <mi>Q</mi> <mo>&le;</mo> <mn>100</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>4.5</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>Q</mi> <mo>&gt;</mo> <mn>100</mn> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow> </math>

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 tth_k ^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-I_dWherein <math> <mrow> <msub> <mi>I</mi> <mi>d</mi> </msub> <mo>=</mo> <mn>25</mn> <mo>{</mo> <msup> <mrow> <mo>(</mo> <mn>1</mn> <mo>+</mo> <msub> <mi>log</mi> <mn>2</mn> </msub> <msup> <mrow> <mo>(</mo> <mfrac> <msub> <mi>T</mi> <mi>&alpha;</mi> </msub> <mn>100</mn> </mfrac> <mo>)</mo> </mrow> <mn>6</mn> </msup> <mo>)</mo> </mrow> <mfrac> <mn>1</mn> <mn>6</mn> </mfrac> </msup> <mo>-</mo> <mn>3</mn> <msup> <mrow> <mo>&lsqb;</mo> <mn>1</mn> <mo>+</mo> <msup> <mrow> <mo>(</mo> <mfrac> <mrow> <msub> <mi>log</mi> <mn>2</mn> </msub> <mrow> <mo>(</mo> <mfrac> <msub> <mi>T</mi> <mi>&alpha;</mi> </msub> <mn>100</mn> </mfrac> <mo>)</mo> </mrow> </mrow> <mn>3</mn> </mfrac> <mo>)</mo> </mrow> <mn>6</mn> </msup> <mo>&rsqb;</mo> </mrow> <mfrac> <mn>1</mn> <mn>6</mn> </mfrac> </msup> <mo>+</mo> <mn>2</mn> <mo>}</mo> </mrow> </math> characterizes the attenuation caused by the time delay of the speech signal, the average data rate of the user terminal k;

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:

<math> <mrow> <mi>f</mi> <mrow> <mo>(</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>)</mo> </mrow> <mo>=</mo> <msub> <mi>a</mi> <mn>1</mn> </msub> <mo>{</mo> <mrow> <mfrac> <mn>1</mn> <mrow> <mn>1</mn> <mo>+</mo> <msup> <mi>e</mi> <mrow> <mo>-</mo> <msub> <mi>a</mi> <mn>2</mn> </msub> <mo>&lsqb;</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msub> <mi>P</mi> <mi>e</mi> </msub> <mo>)</mo> </mrow> <mo>-</mo> <msub> <mi>a</mi> <mn>3</mn> </msub> <mo>&rsqb;</mo> </mrow> </msup> </mrow> </mfrac> <mo>+</mo> <msub> <mi>a</mi> <mn>4</mn> </msub> </mrow> <mo>}</mo> </mrow> </math>

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 tth_k ^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 P_eIs 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:

$f\left({r_k}^{m,n}\right(t\left)\right)=5-\frac{578}{1+{(11.77+11305{r_k}^{m,n}(t\left)\right)}^2}$

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 tth_k ^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:

<math> <mrow> <mi>f</mi> <mrow> <mo>(</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = '{' close = ''> <mtable> <mtr> <mtd> <mrow> <mn>1</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>&lt;</mo> <msub> <mi>R</mi> <mi>min</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mi>a</mi> <mo>*</mo> <mi>ln</mi> <mo>&lsqb;</mo> <mi>b</mi> <mo>*</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>*</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msub> <mi>P</mi> <mi>e</mi> </msub> <mo>)</mo> </mrow> <mo>&rsqb;</mo> <mo>-</mo> <mn>2.6411</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msub> <mi>R</mi> <mi>min</mi> </msub> <mo>&le;</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>&lt;</mo> <msub> <mi>R</mi> <mi>max</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>5</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msub> <mi>R</mi> <mi>max</mi> </msub> <mo>&le;</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mi>k</mi> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow> </math>

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 tth_k ^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, P_e、R_minAnd R_maxIs 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 (7)

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;

and distributing corresponding resource blocks in corresponding member carriers to each user terminal according to the calculated resource scheduling priority.

2. The method of claim 1, wherein the formula for calculating the priority weighting factor of each ue on each component carrier comprises:

<math> <mrow> <msubsup> <mi>W</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>=</mo> <msubsup> <mi>&alpha;</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>&CenterDot;</mo> <msup> <mi>&beta;</mi> <mi>m</mi> </msup> <mo>;</mo> </mrow> </math>

wherein,characterizing the priority weighting factor of user terminal k on the mth component carrier,characterizing the position weight factor, beta, of the user terminal k on the mth component carrier^mCharacterizing 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:

<math> <mrow> <msubsup> <mi>&alpha;</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>=</mo> <mfenced open = '{' close = ''> <mtable> <mtr> <mtd> <mrow> <mfrac> <msub> <mi>d</mi> <mi>k</mi> </msub> <msub> <mi>R</mi> <mi>m</mi> </msub> </mfrac> <mo>,</mo> <msub> <mi>d</mi> <mi>k</mi> </msub> <mo>&lt;</mo> <msub> <mi>R</mi> <mi>m</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> <msub> <mi>d</mi> <mi>k</mi> </msub> <mo>&GreaterEqual;</mo> <msub> <mi>R</mi> <mi>m</mi> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow> </math>

d_kcharacterizing a distance value, R, between a user terminal k and a base station device_mCharacterizing a coverage radius of the mth component carrier;

the formula for calculating the carrier load weight factor of the mth component carrier includes:

<math> <mrow> <msup> <mi>&beta;</mi> <mi>m</mi> </msup> <mo>=</mo> <mi>exp</mi> <mrow> <mo>(</mo> <mfrac> <mrow> <mi>N</mi> <mo>-</mo> <msup> <mi>&sigma;</mi> <mi>m</mi> </msup> </mrow> <mi>N</mi> </mfrac> <mo>)</mo> </mrow> </mrow> </math>

n denotes the number of resource blocks, σ, contained in the mth component carrier^mCharacterizing the number of currently occupied resource blocks on the mth component carrier.

3. The method of claim 2, 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:

<math> <mrow> <msubsup> <mi>P</mi> <mi>k</mi> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <msubsup> <mi>W</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>&CenterDot;</mo> <mi>f</mi> <mrow> <mo>(</mo> <msubsup> <mi>r</mi> <mi>k</mi> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msubsup> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>)</mo> </mrow> <mo>&CenterDot;</mo> <mfrac> <mrow> <msubsup> <mi>r</mi> <mi>k</mi> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> <mrow> <msub> <mi>R</mi> <mi>k</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> </mfrac> </mrow> </math>

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 k_k(t) characterizing the average data rate obtained by the user terminal k on all the component carriers at the current moment t.

4. The method of claim 3, wherein the formula for allocating the corresponding resource blocks in the corresponding component carriers to each UE according to the calculated scheduling priority of resources comprises:

$k^{*}=\arg \underset{k}{max}{P}_k^{m,n}\left(t\right)$

wherein k is^*And characterizing the user terminal distributed on the nth resource block in the mth component carrier.

5. The method of claim 3, 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:

<math> <mrow> <msub> <mi>R</mi> <mi>k</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <munder> <mo>&Sigma;</mo> <mrow> <msub> <mi>CC</mi> <mi>m</mi> </msub> <mo>&Subset;</mo> <msub> <mi>&Omega;</mi> <mi>k</mi> </msub> </mrow> </munder> <msubsup> <mi>R</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> </math>

wherein R is_k(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:

<math> <mrow> <msubsup> <mi>R</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = '{' close = ''> <mtable> <mtr> <mtd> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <mfrac> <mn>1</mn> <msub> <mi>T</mi> <mi>c</mi> </msub> </mfrac> <mo>)</mo> <msubsup> <mi>R</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>(</mo> <mi>t</mi> <mo>-</mo> <mn>1</mn> <mo>)</mo> <mo>+</mo> <mfrac> <mn>1</mn> <msub> <mi>T</mi> <mi>c</mi> </msub> </mfrac> <mo>&CenterDot;</mo> <msubsup> <mi>r</mi> <mi>k</mi> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msubsup> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>k</mi> <mo>=</mo> <msup> <mi>k</mi> <mo>*</mo> </msup> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <mfrac> <mn>1</mn> <msub> <mi>T</mi> <mi>c</mi> </msub> </mfrac> <mo>)</mo> <msubsup> <mi>R</mi> <mi>k</mi> <mi>m</mi> </msubsup> <mo>(</mo> <mi>t</mi> <mo>-</mo> <mn>1</mn> <mo>)</mo> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>k</mi> <mo>&NotEqual;</mo> <msup> <mi>k</mi> <mo>*</mo> </msup> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow> </math>

wherein, T_cCharacterizing the length of a time window, k^*And characterizing the user terminal existing on the mth component carrier at the moment t-1.

6. The method of claim 3, 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:

<math> <mrow> <mi>f</mi> <mrow> <mo>(</mo> <mi>Q</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = '{' close = ''> <mtable> <mtr> <mtd> <mrow> <mn>1</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>Q</mi> <mo>&lt;</mo> <mn>0</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>1</mn> <mo>+</mo> <mn>0.035</mn> <mi>Q</mi> <mo>+</mo> <mn>7</mn> <mo>&CenterDot;</mo> <msup> <mn>10</mn> <mrow> <mo>-</mo> <mn>6</mn> </mrow> </msup> <mi>Q</mi> <mrow> <mo>(</mo> <mi>Q</mi> <mo>-</mo> <mn>60</mn> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <mn>100</mn> <mo>-</mo> <mi>Q</mi> <mo>)</mo> </mrow> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mn>0</mn> <mo>&le;</mo> <mi>Q</mi> <mo>&le;</mo> <mn>100</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>4.5</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>Q</mi> <mo>&gt;</mo> <mn>100</mn> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow> </math>

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 transmission rate factor, R, of the user terminal k on the nth resource block in the mth component carrier at the current time instant tth_k ^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-I_dWherein <math> <mrow> <msub> <mi>I</mi> <mi>d</mi> </msub> <mo>=</mo> <mn>25</mn> <mo>{</mo> <msup> <mrow> <mo>(</mo> <mn>1</mn> <mo>+</mo> <msub> <mi>log</mi> <mn>2</mn> </msub> <msup> <mrow> <mo>(</mo> <mfrac> <msub> <mi>T</mi> <mi>&alpha;</mi> </msub> <mn>100</mn> </mfrac> <mo>)</mo> </mrow> <mn>6</mn> </msup> <mo>)</mo> </mrow> <mfrac> <mn>1</mn> <mn>6</mn> </mfrac> </msup> <mo>-</mo> <mn>3</mn> <msup> <mrow> <mo>&lsqb;</mo> <mn>1</mn> <mo>+</mo> <msup> <mrow> <mo>(</mo> <mfrac> <mrow> <msub> <mi>log</mi> <mn>2</mn> </msub> <mrow> <mo>(</mo> <mfrac> <msub> <mi>T</mi> <mi>&alpha;</mi> </msub> <mn>100</mn> </mfrac> <mo>)</mo> </mrow> </mrow> <mn>3</mn> </mfrac> <mo>)</mo> </mrow> <mn>6</mn> </msup> <mo>&rsqb;</mo> </mrow> <mfrac> <mn>1</mn> <mn>6</mn> </mfrac> </msup> <mo>+</mo> <mn>2</mn> <mo>}</mo> </mrow> </math> characterizes 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:

<math> <mrow> <mi>f</mi> <mrow> <mo>(</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>)</mo> </mrow> <mo>=</mo> <msub> <mi>a</mi> <mn>1</mn> </msub> <mo>{</mo> <mfrac> <mn>1</mn> <mrow> <mn>1</mn> <mo>+</mo> <msup> <mi>e</mi> <mrow> <mo>-</mo> <msub> <mi>a</mi> <mn>2</mn> </msub> <mo>&lsqb;</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msub> <mi>P</mi> <mi>e</mi> </msub> <mo>)</mo> </mrow> <mo>-</mo> <msub> <mi>a</mi> <mn>3</mn> </msub> <mo>&rsqb;</mo> </mrow> </msup> </mrow> </mfrac> <mo>+</mo> <msub> <mi>a</mi> <mn>4</mn> </msub> <mo>}</mo> </mrow> </math>

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 tth_k ^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 P_eIs 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:

$f\left({r_k}^{m,n}\right(t\left)\right)=5-\frac{578}{1+{(11.77+11305{r_k}^{m,n}(t\left)\right)}^2}$

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 tth_k ^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:

<math> <mrow> <mi>f</mi> <mrow> <mo>(</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = '{' close = ''> <mtable> <mtr> <mtd> <mrow> <mn>1</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>&lt;</mo> <msub> <mi>R</mi> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mi>a</mi> <mo>*</mo> <mi>l</mi> <mi>n</mi> <mo>&lsqb;</mo> <mi>b</mi> <mo>*</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>*</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msub> <mi>P</mi> <mi>e</mi> </msub> <mo>)</mo> </mrow> <mo>&rsqb;</mo> <mo>-</mo> <mn>2.6411</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msub> <mi>R</mi> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> </msub> <mo>&le;</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>&lt;</mo> <msub> <mi>R</mi> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>5</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msub> <mi>R</mi> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> <mo>&le;</mo> <msup> <msub> <mi>r</mi> <mi>k</mi> </msub> <mrow> <mi>m</mi> <mo>,</mo> <mi>n</mi> </mrow> </msup> <msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mi>k</mi> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow> </math>

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 tth_k ^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, P_e、R_minAnd R_maxIs a preset parameter value.

7. 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;

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.