KR101096801B1 - Scheduling Method for Radio Resource Allocation in Mobile Communication System - Google Patents

Abstract

The present invention relates to a mobile communication system, and more particularly, to a scheduling method for radio resource allocation in a base station of a mobile communication system, and the method receives a packet targeted to a user terminal and transmits it for each user. Storing in a waiting queue; Calculating a packet accumulation amount due to the packet inflow of the transmission queue for each user and an average transmission rate for each user due to channel influence, and allocating the radio resources based on the values obtained by reflecting them in the priority function formula for the radio resource allocation; It is characterized by. Accordingly, the present invention can provide a high system transmission rate and proportional fairness for traffic of a user by allocating a radio resource in proportion to the wireless channel situation as well as the packet inflow per unit time for each user.

Radio Resources, Allocations, Packet Inflows.

Description

SCHEDULING METHOD FOR ASSIGN A RESOURCE BLOCK IN A MOBILE COMMUNICATION SYSTEM}

The present invention relates to a mobile communication system, and more particularly, to a scheduling method for radio resource allocation in a base station of a mobile communication system.

The present invention is derived from the research conducted as part of the IT growth engine technology development project of the Ministry of Knowledge Economy and the Ministry of Information and Communication Research and Development. [Task management number: 2006-S-003-03, Task name: Development of next generation mobile communication service platform] .

In the 3rd Generation Partnership Project-Long Term Evolution (3GPP-LTE) system, which is considered as one of the strongest candidate technologies for building 4th generation mobile communication system, multiple-input multiple-output (MIMO) transmission for high-speed packet data transmission In order to use the radio resources efficiently, the OFDMA radio multiple access and multiplexing scheme is adopted. In the 3GPP-LTE system, downlink traffic of several users located in a cell is transmitted by sharing one radio resource during downlink transmission from a base station to a user. Therefore, the base station needs a scheduling technique for distributing radio resources to each user. In this case, since the downlink transmission performance is determined according to which scheduling scheme is used, the resource scheduling scheme is very important.

Since radio resources are very limited, in order to utilize them efficiently, the base station must determine which user's data among the user-specific data stored in the transmission queue is to be transmitted first. For this decision, various situations such as radio channel situation between base station and each user, size of packets stored in transmission queue for each user, type of traffic for each user, fairness of transmission opportunity, fairness of transmission amount and so on should be considered. In particular, the radio channel situation between the base station and each user is an important factor that determines the transmission error rate, modulation, and coding technique, and thus changes the overall system transmission rate resulting from the scheduling. Used as Accordingly, the packet scheduler of the base station receives the radio channel quality information (CQI) from the user to determine the radio channel status of each user and allocates resources by using the feedback.

Since the MIMO system can simultaneously transmit multiple data frames through multiple antennas, the MIMO system can transmit data more effectively than the conventional single input single output (SISO) system using only one antenna. However, in order to perform scheduling in the MIMO system environment, unlike the scheduling used in the existing SISO, an antenna selection technique that determines which antenna to transmit using not only a user's selection but also radio channel information for each antenna must be additionally considered.

Unlike the resource structure in which one user is allocated to each time slot for each antenna used in the conventional mobile communication system, the frequency band for downlink in the MIMO-OFDMA environment considered in the present invention is multiple. It consists of a sub-carrier, and consists of a resource structure that binds subcarriers with a certain number and divides them into time slots as a minimum unit.

Since the resource block is used as a resource allocation unit, data of multiple users can be simultaneously transmitted from one antenna. Therefore, in addition to the antenna selection of the conventional MIMO scheduling, the concept of resource blocks is added to use an extended scheduling scheme. That is, in order to transmit the user's data, not only antenna selection but also resource block selection is required.

Accordingly, in order to efficiently select antennas and resource blocks, antenna information for each user and radio channel information per resource block are required, and the user has higher complexity when selecting a user to allocate resources. Due to the characteristics of this resource structure, more scheduling is performed every time period, and thus the scheduling technique has a greater effect on the overall system performance.

When scheduling radio resources, if radio resources are distributed to each user by considering only radio channel information, some users with good radio channels monopolize the entire radio resource, causing starvation problems of other users with poor radio channels. This allows for maximum system-wide data transfer rates, but issues arise in terms of user-level fairness. On the other hand, in order to prevent this, when distributing radio resources considering only the fairness of each user's transmission rate, users with poor wireless channels transmit using low-rate modulation and coding techniques. This will give you a lot of transmission opportunities, which will lower your overall system transmission rate.

As described above, in order to solve the problem of system-wide transmission rate and fairness, the existing wireless scheduling schemes provide a fair transmission opportunity for each user, but provide proportional fairness by transmitting at a transmission rate proportional to the radio channel situation. The proportional fair scheduling scheme is used. However, the proportional fair scheduling scheme only considers the radio channel situation between the base station and the user, and does not consider the packet inflow rate of each user or the state of the transmission queue, so that a user with a low transmission rate or a high packet inflow rate may receive a packet in the transmission queue. This accumulates continuously, causing a problem in that transmission is not performed smoothly.

In addition, the proportional fair scheduling technique uses an exponential weighted moving average (EWMA) to calculate the average throughput, so that when a user changes the channel status from a bad channel environment to a good channel environment, Since the transmission amount is allocated, resources are allocated relatively more than other users having the same channel condition during the time taken to reflect the current channel condition, causing damage to other users.

In order to solve the problems of the existing proportional process scheduling, the present invention provides a high packet inflow rate by giving a transmission opportunity in consideration of the packet inflow amount of each user as well as the wireless channel situation between the base station and each user. It provides a scheduling method for allocating radio resources in a mobile communication system that can smoothly transmit users and reduce the damage of other users when the channel environment changes by quickly updating the average transmission amount of users having a bad channel environment. Is in.

Another object of the present invention is to provide a scheduling method for radio resource allocation in a mobile communication system that can modify a scheduling scheme to be applied to various MIMO schemes.

The technical problem is a resource that is a resource unit of a MIMO-Orthogonal Frequency Division Multiple Access (MIMO-OFDMA) environment used as a multi-user transmission scheme of a 3GPP-LTE system according to an embodiment of the present invention. In allocating a resource block to each user, the radio resources are allocated in proportion to the wireless channel situation as well as the packet inflow per unit time per user, thereby providing high system transmission rate and proportional fairness to the traffic of the user. Is achieved by a scheduling method that extends the Proportional Fair Scheduling (PFS) technique to provide.

The scheduling method according to an embodiment of the present invention is more specifically a method executable in a base station of a mobile communication system.

Receiving a packet targeting a user terminal and storing the packet in a transmission queue for each user;

And allocating radio resources in proportion to the packet inflow of the transmission queue for each user and the average transmission amount of each user.

Furthermore, the present invention is a modified embodiment, by modifying the proportional fair metric to allocate radio resources so that different data of the same user is transmitted to the same resource block location of each antenna, the same resource block location of each antenna Another feature is that the radio resources are allocated to transmit the same data of the user.

In the present invention, the proportional fair scheduling scheme used in the existing mobile communication system does not consider the traffic inflow for each user. By allocating resources proportionately to the system, the transmission rate of the entire system is relatively lower than that of the previous system while reducing the accumulation of transmission queues of users with high traffic inflow, thereby achieving smooth transmission. It can provide fairness according to channel status.

In addition, by adjusting the weight of the average transmission rate according to the channel situation of each user, the user who changes the wireless environment from a bad channel environment to a good channel environment is allocated a lot of resources to alleviate the problem of damaging other users. have. Furthermore, by providing a scheme for applying the scheduling scheme of the present invention to various existing MIMO schemes, the present invention provides the utility that can be easily applied to any next generation mobile communication system.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description of the present invention, if it is determined that detailed descriptions of related well-known functions or configurations may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted. In addition, terms to be described below are terms defined in consideration of functions in the present invention, which may vary according to intention or custom of a user or an operator. Therefore, the definition should be based on the contents throughout this specification. In addition, in the following description, the 3GPP-LTE system will be described as an example of an OFDMA system, which is merely adopted for convenience of description of the present invention and should not be construed as being limited to the present invention applied only to the LTE communication system.

First, the present invention has focused on the fact that the problem of having a great influence on the packet accumulation in the transmission queue caused by the failure of the smooth transmission does not consider the packet inflow amount. Accordingly, the present invention calculates the cumulative amount of packets due to packet inflow per unit time and applies it to the scheduling technique. In addition, considering that the larger the queued queue, the worse the channel condition, the present inventors sought to apply the current channel condition more quickly by increasing the weight of the current amount when calculating the average amount. In addition, these schemes can be adapted to the resource block allocation scheme of various MIMO schemes to provide scalability. Technical features of the present invention will be described below with reference to the accompanying drawings.

1 is a diagram conceptually illustrating a downlink packet scheduler 100 and a user terminal (UE) existing in a base station of a 3GPP-LTE system as an example of a mobile communication system according to an embodiment of the present invention in accordance with a 2X2 MIMO environment. .

As shown in FIG. 1, the scheduling apparatus in the base station includes a transmission standby queue 101 which receives a packet targeted to a user terminal (UE) and temporarily stores the packet for each user. The scheduling time, for example, a transmission time period ( There is a packet scheduler 100 for allocating radio resources to a specific user terminal (UE) according to a preset scheduling scheme for each Transmit Time Interval (TTI). The packet scheduler 100 generally receives feedback from the user terminal 102 of radio channel quality information (CQI) 104 necessary for radio resource allocation. In addition, the packet scheduler 100 receives the packet inflow information 105 per unit time from the transmission queue 101 and allocates a radio resource to each user terminal 102. More specifically, the packet scheduler 100 calculates the packet accumulation amount due to the packet inflow of the transmission queue for each user 101 and the average transmission rate for each user due to the channel effect, and reflects them in the priority function formula for radio resource allocation. Radio resource allocation is based on Through this repetition, communication is performed between the base station and the user terminal 102 through scheduling in every transmission period. Channel encoding and OFDM modulation processes performed at the end of the packet scheduler are the same as the general method and will be omitted below. Reference numeral 103 not described in FIG. 1 illustrates a radio resource block (RB) allocated to each antenna by the packet scheduler 100.

Hereinafter, a scheduling method according to an embodiment of the present invention based on a proportional fair method will be described. In the scheduling method of the present invention, the proportional fair metric function expression is modified to obtain a proportional fair metric value by reflecting the packet accumulation amount due to the packet inflow of the transmission queue for each user and the average transmission amount for each user due to the channel effect. It can be expressed by the equations (1) and (2).

은 전송주기 n에 전송할 사용자 그룹을 의미한다. 즉, 스케줄링의 결과로 나타난 각 안테나별 자원블록(103)에 할당된 사용자 그룹이라 할 수 있다.

은 스케줄링의 판단 기준인 비례 공평 메트릭(Metric), 즉 우선순위함수식으로써 이 값을 최대로 만드는 사용자, 안테나, 자원블록을 선택하게 되며, 이를 바탕으로 무선자원을 할당한다. 비례 공평 메트릭의 인덱스(Index)로 사용되는 I, J, K는 각각 전송대기 큐(101) 내 패킷이 존재하는 사용자 단말 그룹, 안테나 그룹, 자원블록 그룹을 나타낸다.In Equation 1

Denotes a user group to be transmitted in transmission period n. That is, it may be referred to as a user group assigned to each resource block 103 for each antenna resulting from the scheduling.

Selects a user, antenna, and resource block that maximizes this value by using a proportional fair metric, that is, a priority function, and allocates radio resources based on this. I , J, and K used as indexes of the proportional fair metric indicate a user terminal group, an antenna group, and a resource block group in which packets in the transmission queue 101 are present.

는 사용자 i가 안테나 j의 자원블록 k를 통해 전송할 시 전송 가능한 최대 전송량을 의미하며, 이는 해당 자원블록의 무선채널 상황에 따라 적절한 변조기법 및 코딩기법을 적용하여 계산된 다. 다음으로

은 n번째 전송주기에서의 안테나 j의 k번째 자원블록이 사용자에게 할당되었는지 여부를 나타낸다.

은 표현된 바와 같이 0 또는 1의 값을 가지며, 해당 자원블럭이 특정 사용자에게 할당된 경우 '0'의 값을 설정하여 해당 자원블럭의 비례 공평 메트릭 값을 '0'으로 만들어 중복 설정되지 않게 한다. 한편 Ui(n)은 n번째 전송주기까지 사용자 i의 지수누적이동평균값으로써, 사용자 i의 전송주기당 평균 전송량을 의미한다. 마지막으로

은 전송주기에서의 패킷 유입 파라미터로서, 사용자별 전송대기 큐(101)의 패킷 유입량에 의한 패킷누적량을 나타낸다. 패킷 유입량에 의한 패킷누적량은 하기 수학식 3으로 계산 가능하다.Equation 2 is a proportional fair metric function,

Denotes the maximum amount of transmission that can be transmitted when user i transmits through resource block k of antenna j, which is calculated by applying an appropriate modulation and coding technique according to the radio channel situation of the corresponding resource block. to the next

Indicates whether the k-th resource block of antenna j in the n-th transmission period is allocated to the user.

Has a value of 0 or 1 as expressed, and if the resource block is assigned to a specific user, it sets the value of '0' to make the proportional fair metric value of the resource block '0' so that it is not duplicated. . Ui (n) is an exponential cumulative moving average value of user i until the nth transmission period, and means an average transmission amount per transmission period of user i. Finally

Is a packet inflow parameter in the transmission period, and indicates the packet accumulation amount by the packet inflow amount of the transmission queue for each user. Packet accumulation amount by the packet inflow amount can be calculated by the following equation (3).

을 계산하는 수식으로써, 모든 사용자의하향 패킷 유입량 평균에 대한 사용자 i의 하향 패킷 유입량의 상대적인 비라 할 수 있다. 상기 수학식 3에서 Nu(n)은 전송주기 n에서 전송대기 큐 내 패킷이 존재하는 사용자 단말수이며,

은 전송주기 n에서 사용자 i의 평균 패킷 유입량을 의미한다.Equation 3 is a packet inflow parameter

It is a formula for calculating the ratio, which is a ratio of the downlink packet inflow of the user i to the average downlink packet inflow of all users. Nu (n) in Equation 3 is the number of user terminals in which packets in a transmission queue are present in transmission period n,

Denotes the average packet inflow of user i in transmission period n.

As described above, the scheduling method according to the embodiment of the present invention calculates the packet accumulation amount due to the packet inflow of the user-specific transmission queue 101 through Equation 3 and reflects it in the proportional fair metric function equation as in Equation 2. In this case, resources can be allocated in proportion to packet accumulation due to packet inflow and channel conditions to be described later.

는 매 전송주기마다 갱신되는 값으로, 이 같은 갱신과정을 통해 현재의 채널상황을 의미하는 현재 전송량을 비례 공평 메트릭 함수식에 반영할 수 있다. 현재의 채널상황을 다음 전송주기에 반영하도록 갱신되어야 하는 사용자 i의 평균 전송률

은 하기 수학식 4에 의해 산출된다.Meanwhile, in Equation 2, the average transmission amount of user i

Is a value updated every transmission period, and through such an update process, the current transmission amount representing the current channel status can be reflected in the proportional fair metric function. Average baud rate for user i that needs to be updated to reflect current channel conditions in the next transmission period

Is calculated by the following equation (4).

는 기지국에 설치된 하향 안테나 수를 의미하며,

는 전송주기 당 전송할 수 있는 자원블록의 수를 의미한다. 또한,

은 n번째 전송주기에서 안테나 j의 k번째 자원블록이 사용자 i에게 할당되었는지 여부를 나타내는 파라미터이다.

은 앞서 설명한

과 마찬가지로 '0 또는 1'의 값을 가지며, 안테나 j의 k번째 자원블록이 사용자 i에게 할당되었을 경우 1, 그렇지 않을 경우 0의 값을 갖는다. 따라서 대괄호([ ])내에 있는 수식은 사용자 i가 n번째 전송주기에 할당 받은 자원의 자원블록당 산술평균을 의미한다.In Equation 4

Means the number of down antennas installed in the base station,

Denotes the number of resource blocks that can be transmitted per transmission period. Also,

Is a parameter indicating whether the k-th resource block of the antenna j is allocated to the user i in the n-th transmission period.

Explained earlier

Likewise, it has a value of '0' or '1', and has a value of 1 when the k-th resource block of antenna j is allocated to user i, and 0 otherwise. Therefore, the formula in square brackets ([]) means the arithmetic mean per resource block of resources allocated by user i in the nth transmission period.

은 현재 전송량의 고정적인 가중치이며

과의 곱을 통해 가중치를 조절한다.

은 나쁜 채널 상황에서 발생되는 전송대기 큐의 누적량을 나타내는 파라미터로써 하기 수학식 5로 표현 가능하다.For reference, the update method described above shows the form of an exponentially weighted moving average. In other words,

Is a fixed weight of current traffic

Adjust the weight by multiplying by.

Is a parameter representing the cumulative amount of the transmission queue generated in a bad channel situation can be expressed by the following equation (5).

,

,

은 전송대기 큐 내 패킷이 존재하는 모든 사용자에 대하여 채널 상태가 최상일 경우의 사용자당 평균 전송량이고,

는 3GPP-LTE 시스템의 최대 전송량을 의미한다.In Equation 5

Is the average amount of transmission per user when the channel state is best for all users with packets in the queue.

Means the maximum transmission amount of the 3GPP-LTE system.

이 계산되며, 채널 상황이 나쁠수록 그 값은 커지게 된다. 따라서

은 최상의 채널 환경에 상대적인 각 사용자의 무선 채널 상황을 표현한다 할 수 있다. 이와 같은 과정을 통해 수학식 4의 평균 전송량 갱신 시 무선 채널이 나쁜 사용자 일수록 현재의 전송량에 대한 가중치를 더욱 높이게 되어 더욱 빠르게 현재의 채널 상황을 반영할 수 있다.Equation 5 is a ratio between the average transmission amount per user and the average transmission amount of user i when all users with packets in the transmission queue queue 101 have the best channel state, and the transmission queue queue 101 varies according to channel conditions. Ratio of cumulative amount of

The worse the channel condition, the larger the value. therefore

Can represent the wireless channel situation of each user relative to the best channel environment. Through this process, when the average transmission amount of Equation 4 is updated, the worse the wireless channel is, the higher the weight of the current transmission amount is, so that the current channel situation can be reflected more quickly.

If the weight is changed according to the channel situation and the average transmission rate is updated and reflected in the proportional fair metric, it occurs because the resource is allocated relatively more than other users when the channel condition is changed from the bad channel environment to the good channel environment. Can mitigate the damage.

Accordingly, the scheduling method according to an embodiment of the present invention can provide a fairness proportional to the cumulative amount of the transmission queue due to the packet inflow and the radio channel situation.

Meanwhile, the above-described scheduling method of the present invention can be applied to a MIMO scheme that can freely allocate data of different users for each antenna for downlink transmission to resource blocks of different positions, and by modifying the proportional fair metric function equation. It can be applied to various MIMO techniques. This will be described in detail with reference to FIG. 2 as follows.

For reference, FIGS. 2A to 2C illustrate radio resource block allocation of each transmit antenna according to an embodiment of the present invention.

First, FIG. 2A allocates resource blocks (RBs) of each downlink transmission antenna using a proportional fair metric function of Equation 2, and is different from resource blocks (RB1, RB2, ..) at the same position of each antenna. This is the case where radio resource is allocated to transmit user data.

On the contrary, FIG. 2B illustrates a case where radio resources are allocated such that different data of the same user is wirelessly transmitted through resource blocks of the same location of each antenna. As shown in FIG. 2B, it can be seen that different data of the same user is allocated to resource blocks of the same position of each antenna. To this end, the proportional fair metric function of Equation 2 may be modified to Equation 6 to provide another scheduling method of the present invention.

와 같이 안테나별 동일 위치의 자원블록의 합이 큰 사용자를 선택하게 된다. 또한,

을 사용하여 특정 자원 블록이 다른 사용자에게 이미 할당된 경우, 해당 자원 블록에 대한 계산을 0으로 만들어 줌으로써 중복 할당을 방지한다. 참고적으로, 평균 전송량 갱신 기법은 수학식 4와 동일한 기법을 사용한다.Unlike Equation 2, Equation 6 selects only a user and a resource block except for antenna selection, because one user is allocated data to a resource block at the same position of each antenna. Therefore, one user may be allocated a plurality of resource blocks according to the number of downlink antennas.

As shown in FIG. 2, a user having a large sum of resource blocks of the same location for each antenna is selected. Also,

If a specific resource block is already assigned to another user by using, make the calculation for that resource block to 0 to prevent duplicate allocation. For reference, the average throughput update technique uses the same technique as in Equation 4.

FIG. 2C illustrates an example of resource allocation for allocating the same data of the same user to resource blocks of the same location to obtain only diversity gain without spatial multiplexing gain. As shown in FIG. 2C, it can be seen that the same data of the same user is allocated to the same resource block number of each antenna. In such a MIMO scheme, the radio resources are allocated by modifying the proportional fair metric function equation as in Equation (7).

은 기지국의 하향 전송 안테나 수를 나타낸다.Equation (7) is a case in which only a user and a resource block are allocated and radio resources are allocated as in Equation 6, and a user is allocated a plurality of resource blocks at the same location according to the number of downlink antennas. However, since the same data of the same user must be transmitted, the same modulation technique and coding technique must be transmitted to the resource block of the same location. That is, the proportional fair metric function is calculated by selecting the resource block having the lowest channel quality at the same resource block location, and the higher the channel quality information, the more data can be transmitted. In equation (7)

Denotes the number of downlink antennas of the base station.

On the other hand, when updating the average amount of transmission should be transmitted at the lowest transmission rate among the resource blocks of the same location, as in the calculation of the proportional fair metric function formula is updated using the resource block having the lowest channel quality at the same resource block location. That is, the average transmission amount is updated based on Equation 8 below.

As described above, the scheduling method according to the embodiment of the present invention utilizes a proportional fair metric function such as Equations 2, 6, and 7 and an average transmission rate update formula such as Equations 4 and 8 to adjust radio resources according to various MIMO techniques. Will be able to allocate effectively.

The present invention has been described above with reference to the preferred embodiments. Those skilled in the art will appreciate that the present invention can be implemented in a modified form without departing from the essential features of the present invention. Therefore, the disclosed embodiments should be considered in an illustrative rather than a restrictive sense. The scope of the present invention is shown in the claims rather than the foregoing description, and all differences within the scope will be construed as being included in the present invention.

The present invention can be widely used in next generation mobile communication systems such as 3GPP-LTE system.

1 is a diagram conceptually illustrating a downlink packet scheduler and a user terminal (UE) existing in a base station of a 3GPP-LTE system as an example of a mobile communication system according to an embodiment of the present invention according to a 2 2 MIMO environment.

2A to 2C are diagrams illustrating radio resource block allocation of each transmit antenna according to an embodiment of the present invention.

Claims (15)

In the scheduling method for allocating radio resources in a mobile communication system, Receiving a packet targeting a user terminal and storing the packet in a transmission standby queue for each user; Allocating a radio resource by using the packet accumulation amount and the average transmission amount of each user due to the packet inflow of the transmission queue for each user; scheduling method for the radio resource allocation in a mobile communication system. The method of claim 1, wherein the step of allocating a radio resource, Select a user, antenna, and resource block that maximizes the proportional fair metric to allocate resources, and the proportional metric is the product of the maximum transmission amount that user i can transmit through the resource block k of antenna j and the packet accumulation amount as a packet inflow parameter. A scheduling method for radio resource allocation in a mobile communication system, characterized in that the ratio is calculated as the ratio of the average transmission amount per transmission period for the user. The method according to claim 2, wherein the packet inflow parameter, A scheduling method for allocating a radio resource in a mobile communication system, characterized in that the ratio is calculated as a relative ratio of the user i's downlink packet inflow to the average of all users. The method of claim 2, wherein the proportional fair metric has a value of 0 when the kth resource block of antenna j is assigned to another user. The method according to claim 1, wherein the average transmission amount representing the exponentially weighted moving average form, A scheduling method for allocating a radio resource in a mobile communication system, wherein the fixed weight is multiplied by a cumulative amount of a transmission queue generated by a channel situation, and is updated every transmission period by applying a weight to a current transmission differently. The method according to any one of claims 1 to 5, wherein the step of allocating radio resources, A scheduling method for radio resource allocation in a mobile communication system, characterized by allocating radio resources such that different data of the same user is transmitted to resource blocks of different positions of each antenna. In the scheduling method for allocating radio resources in a mobile communication system, Receiving a packet targeting a user terminal and storing the packet in a transmission standby queue for each user; Allocating a radio resource by using the packet accumulation amount and the average transmission rate of each user by the packet inflow of the transmission queue for each user, allocating radio resources so that different data of the same user is transmitted to the same resource block position of each antenna; A scheduling method for radio resource allocation in a mobile communication system, comprising: a. delete delete The method of claim 7, The radio resource allocation step, The resource allocation is selected by selecting a user and a resource block that maximizes the proportional fair metric, and the proportional metric indicates that the user i is multiplied by the sum of the maximum transmissions that can be transmitted through the resource block k of antenna j and the packet inflow parameter. It is calculated as the ratio of average transmission volume per transmission cycle. The packet inflow parameter is Calculated as the ratio of user i's downstream packet inflows to the average of all users' downstream packet inflows, The proportional fair metric has a value of 0 when a specific resource block is allocated to another user. delete In the scheduling method for allocating radio resources in a mobile communication system, Receiving a packet targeting a user terminal and storing the packet in a transmission standby queue for each user; Allocating a radio resource by using the packet accumulation amount and the average transmission rate of each user by the packet inflow of the transmission queue of each user, allocating radio resources so that the same data of the same user is transmitted to the same resource block position of each antenna; A scheduling method for radio resource allocation in a mobile communication system, characterized in that. delete delete The method according to claim 12, wherein the average transmission amount representing the exponentially weighted moving average form, It is updated every transmission period by multiplying the fixed weight by the cumulative amount of the transmission queue generated by the channel situation and applying the weight for the current transmission differently, and selecting the resource block having the lowest transmission capacity at the same resource block location. A scheduling method for radio resource allocation in a mobile communication system, characterized by being updated.

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