WO2017054393A1 - 一种载波选择方法和装置 - Google Patents

一种载波选择方法和装置 Download PDF

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Publication number
WO2017054393A1
WO2017054393A1 PCT/CN2016/073820 CN2016073820W WO2017054393A1 WO 2017054393 A1 WO2017054393 A1 WO 2017054393A1 CN 2016073820 W CN2016073820 W CN 2016073820W WO 2017054393 A1 WO2017054393 A1 WO 2017054393A1
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Prior art keywords
carrier
factor
user
utility
load balancing
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PCT/CN2016/073820
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English (en)
French (fr)
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***
贾文娟
刘巧艳
杨宇冰
史治平
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中兴通讯股份有限公司
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Publication of WO2017054393A1 publication Critical patent/WO2017054393A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0058—Allocation criteria
    • H04L5/0076—Allocation utility-based
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0058—Allocation criteria
    • H04L5/006—Quality of the received signal, e.g. BER, SNR, water filling
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/08—Load balancing or load distribution

Definitions

  • the present invention relates to the field of wireless communication technologies, and in particular, to a carrier selection method and apparatus based on a utility weighting factor.
  • LTE-A Long Term Evolution-Advanced
  • LTE-A LTE-Advanced
  • the utilization of spectrum by LTE is close to the theoretical upper limit. It is basically impossible to achieve the highest peak rate of LTE-A 1 Gbit/s in the maximum system bandwidth of LTE only 20 MHz. Therefore, using reasonable technology to broaden the transmission bandwidth is an inevitable trend in the future development of mobile communications. Therefore, LTE-A proposes a CA (Carrier Aggregation) technology, and carrier aggregation can jointly serve a User Equipment (UE) by integrating several discrete frequency bands.
  • CA Carrier Aggregation
  • LTE-A systems with CA have multiple component carriers, while traditional resource scheduling
  • the scheme only considers the RB (Resource Block) level scheduling, and cannot be directly used for resource scheduling in the carrier aggregation scenario.
  • the resource scheduling algorithm of the CA two hierarchical scheduling of the carrier level and the RB level need to be considered.
  • the selection of component carriers and packet scheduling in the LTE-A carrier aggregation scenario are the two main functional modules in wireless resource management.
  • the LTE-A system has one component carrier selection step in the radio resource management. After the new UE accesses the network, the eNB of the LTE-A (eNodeB) selects some component carriers for each UE to perform carrier aggregation according to the channel quality of the component carrier and the traffic load.
  • a UE selects a low-quality component carrier for a long time, it can not only bring considerable performance gain to the system, but also occupy system resources, resulting in wasted system resources, carrier use efficiency and system. Low throughput.
  • the technical problem to be solved by the present invention is to provide a carrier selection method and apparatus for solving the problem of low carrier utilization efficiency and low system throughput in the prior art.
  • the present invention provides a carrier selection method, the method comprising the following steps:
  • A. Determine the number of carriers that need to be configured.
  • the step A includes: determining the number of carriers to be configured according to the capability information reported by the user equipment and the information about the base station itself.
  • the step B specifically includes:
  • the method specifically includes:
  • ⁇ is a carrier characteristic factor of user k
  • d k is a distance of user k from a base station of the cell
  • R i is a coverage radius of component carrier i
  • M is a number of component carriers.
  • the method specifically includes:
  • ⁇ is a load balancing factor
  • W i is the bandwidth of the i-th carrier
  • L(Q t , i) is the queue length of the user t on the i-th member carrier. The sum of the queue lengths for accessing the i-th carrier.
  • the method specifically includes:
  • the method specifically includes:
  • Channel quality information on each carrier is obtained by event measurement, thereby obtaining a signal to interference and noise ratio SINR and quantizing, and using the signal to interference and noise ratio SINR as a carrier characteristic factor.
  • the method specifically includes:
  • the method specifically includes:
  • the method further includes determining whether the number of access carriers of each user equipment meets the requirement; if not, repeating steps B and C to perform the second round of carrier allocation; otherwise, the component carrier selection ends.
  • the present invention also provides a carrier selection device, the device comprising:
  • a carrier quantity determining unit configured to determine a number of carriers to be configured
  • a utility weight factor obtaining unit configured to obtain a utility weighting factor of the user selected member carrier
  • a carrier selection unit configured to select, according to the size of the utility weighting factor, a carrier that has the largest access value of the user equipment.
  • the utility weight factor acquisition unit includes:
  • a load balancing factor acquisition subunit for acquiring a load balancing factor
  • a utility weighting factor calculation subunit is configured to calculate the utility weighting factor according to the carrier characteristic factor and a load balancing factor.
  • the present invention is applicable to a non-joint queue scheduling structure in a scenario of inter-band spectrum aggregation, which comprehensively considers carrier characteristics and carrier load balancing, can reduce scheduling load, avoids resource waste, thereby improving carrier usage efficiency and improving system throughput.
  • 1 is a schematic diagram of a carrier selection scenario based on a utility weighting factor
  • FIG. 2 is a schematic diagram of a system scenario according to an embodiment of the present invention.
  • FIG. 3 is a flowchart of a carrier selection method according to an embodiment of the present invention.
  • the present invention provides a carrier selection method and apparatus.
  • the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
  • the base station first determines the number of carriers to be configured; then obtains the utility weight factor of the user selected component carrier; finally, according to the size of the utility weighting factor, selects the carrier with the largest user utility access value.
  • the LTE-A user can use multiple RBs on a component carrier (Component Carrier), and different carrier transmissions are used.
  • Component Carrier component carrier
  • the difference in the characteristics is large, so the carrier selection is introduced before the RB allocation, so the mode includes two-stage scheduling of carrier selection and RB allocation.
  • a carrier selection algorithm based on a utility weighting factor is adopted, which comprehensively considers carrier load balancing and carrier characteristics.
  • the utility weighting factors are defined as follows:
  • f represents the parameters ⁇ , ⁇ to Mapping relationship, where Indicates that user k selects the utility weight factor of the i-th CC, ⁇ denotes a carrier characteristic factor, and ⁇ denotes a load balancing factor.
  • the M carriers are selected by the N users as an example, and the schematic diagram is as shown in FIG. 1 . among them Represents the utility weighting factor of user k on component carrier i. As can be seen from Figure 1, each carrier can carry a queue from N users, and each user can access each carrier for data transmission.
  • the implementation scenario of this embodiment is a carrier aggregation scenario, which is a discontinuous carrier aggregation between bands, and the scheduler is a non-joint queue scheduling structure. It is assumed that the system has H cells, and each cell has N LTE-A terminal users, each Users support full-band operation, that is, M carriers can be accessed.
  • Each CC has the same bandwidth W and contains the same number of RBs.
  • the coverage radius of the carrier is different, and the number of carriers that can be selected by different users is different.
  • the system scenario is shown in Figure 2.
  • the system has 5 component carriers, 800 MHz, 1.8 GHz, 3.25 GHz, 5 GHz, 10 GHz, 20 MHz per carrier, including 100 RBs, assuming each fan. There are 10 end users in the district.
  • carrier selection is first performed for each sector.
  • the component carrier is selected, the first carrier selection is first performed, and then the other carriers are aggregated according to the rate requirement of the UE service.
  • a carrier selection method in this embodiment is shown in FIG. 3, and the method includes the following steps:
  • the number of carriers to be configured is determined.
  • the base station determines according to the capability information reported by the UE and the related information of the base station itself. If it is an LTE system UE, it can only have one component carrier. If it is an LTE-Advanced system UE, it can have multiple component carriers.
  • a carrier characteristic factor is obtained.
  • the base station first acquires the distance from the user to the serving base station and the coverage radius of the carrier; Obtaining the carrier characteristic factor, where ⁇ is a carrier characteristic factor of user k, d k is a distance of user k from a base station of the cell, R i is a coverage radius of component carrier i, and M is a number of component carriers.
  • a carrier aggregation technology is added, which can jointly schedule non-contiguous carriers in different frequency bands, and the frequency spacing of these carriers may be very large, and the carrier characteristics of each frequency point may also be large. different.
  • the wavelength of the carrier corresponding to the high frequency point is shorter than that of the carrier of the lower frequency point, which is not conducive to long-distance transmission, and therefore can only cover the central area of the serving cell, while the low-frequency point carrier can be used to cover the entire cell. Therefore, the coverage radius of different frequency point carriers can be added to the evaluation of the carrier characteristic factor, specifically, the larger the carrier coverage radius (small), the larger the carrier characteristic factor is (small).
  • a load balancing factor is obtained.
  • the base station first calculates the load status on each carrier, and calculates the sum of the queue lengths of all user equipments on the carrier; Obtaining a load balancing factor, where ⁇ is a load balancing factor, W i is the bandwidth of the i-th carrier, and L(Q t , i) is the queue length of the user t on the i-th member carrier. The sum of the queue lengths for accessing the i-th carrier.
  • Load balancing also means that the carrier of each frequency band carries the amount of data matching it, and for different carriers they have different bandwidths, and the sum of the queue lengths of the users loaded on each carrier is different. Therefore, the variable that affects load balancing is the sum of the bandwidth of the carrier and the length of the queue loaded on the carrier. Specifically, the larger the bandwidth of the carrier is (small), the greater the contribution (small) to the load balancing factor; the longer (short) the sum of the queue lengths loaded on the carrier, the smaller (large) the load balancing factor.
  • Step s304 Calculate the utility weighting factor according to the carrier characteristic factor and the load balancing factor.
  • the base station according to the formula Calculating utility weighting factor Wherein, when d k >R i , the distance from the user to the base station is greater than the coverage radius of the carrier i, and the carrier i cannot be accessed, so the weighting factor is zero.
  • Step s305 The base station selects a carrier with the largest user utility access value according to the size of the utility weighting factor, completes mapping between the UE and the CC, and updates the queue on the carrier.
  • Step s306 The base station determines whether the number of access carriers of each user equipment meets the requirement; if not, Then, steps s302 to s305 are repeated to perform the second round of carrier allocation; otherwise, the component carrier selection ends.
  • the carrier selection method of this embodiment is similar to that of Embodiment 2 except that the process of obtaining the utility weighting factor of the user component selection is different. Considering that in the actual communication process, the distance d k between the user and the base station is difficult to obtain, and the practicability of the algorithm is limited.
  • ⁇ is defined as the signal to interference and noise ratio SINR.
  • Utility weighting factor The definition is as follows:
  • the carrier selection method of the embodiment of the present invention is as shown in FIG. 3, compared with the embodiment 2:
  • step s302 the present embodiment obtains channel quality information on each carrier by event measurement, thereby obtaining a signal to interference and noise ratio SINR and quantizing, and using the signal to interference and noise ratio SINR as a carrier characteristic factor. .
  • step s103 the first embodiment first calculates the load status on each carrier, and calculates the sum of the queue lengths of all user equipments on the carrier; Obtaining a load balancing factor, where ⁇ is a load balancing factor, and L(Q t , i) is a queue length of user t on the i-th member carrier, The sum of the queue lengths for accessing the i-th carrier.
  • step s104 the embodiment is based on a formula Calculating utility weighting factor
  • a carrier selection result as shown in Table 1 is formed, and the base station performs carrier allocation on the user according to the table.
  • a carrier selecting apparatus of this embodiment includes a carrier quantity determining unit, a utility weighting factor obtaining unit, and a carrier selecting unit, wherein the utility weighting factor obtaining unit is respectively connected to the carrier quantity determining unit and the carrier selecting unit.
  • the carrier quantity determining unit is configured to determine the number of carriers to be configured; the utility weighting factor obtaining unit is configured to obtain a utility weighting factor of the user selected component carrier; and the carrier selecting unit is configured to use the large weighting factor according to the utility Small, select the user equipment to access the carrier with the largest utility value.
  • the utility weight factor acquisition unit includes a carrier characteristic factor acquisition subunit, a load balance factor acquisition subunit, and a utility weight factor calculation subunit, wherein the utility weight factor calculation subunit is respectively connected with the carrier characteristic factor acquisition subunit and the load balance factor acquisition subunit .
  • the carrier characteristic factor obtaining subunit is configured to obtain a carrier characteristic factor
  • the load balancing factor obtaining subunit is configured to obtain a load balancing factor
  • the utility weighting factor calculating subunit is configured to calculate the utility weight according to the carrier characteristic factor and the load balancing factor factor.
  • the carrier selection device described above is configured to perform the carrier selection method described above.
  • the carrier selection device may be a base station, a computer, a server, or the like.
  • the carrier selection device may include at least one of a processing component, a memory, a power component, an input and output interface, and a communication component.
  • the processing component can perform all operations of the carrier selection device, such as data communication, recording operations, and the like.
  • Processing components may include one or more processors for executing instructions to implement all or a portion of the steps above.
  • the processing component can include one or more modules that facilitate interaction between the processing component and other components.
  • the memory is configured to store various types of data to support operation of the carrier selection device. Examples of such data include instructions, messages, etc. of any application or method running on a carrier selection device.
  • the memory can be implemented using any type of volatile or non-volatile memory device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Disk or Optical Disk.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read only memory
  • EPROM erasable programmable Read Only Memory
  • PROM Programmable Read Only Memory
  • ROM Read Only Memory
  • Magnetic Memory Flash Memory
  • Disk Disk or Optical Disk.
  • the power components provide power to various components of the carrier selection device.
  • the input/output interface provides an interface between the processing component and the peripheral interface module, and the peripheral interface module may be a keyboard, a click wheel, a button, or the like.
  • the communication component is configured to facilitate wired or wireless communication between the carrier selection device and other devices.
  • non-transitory computer readable storage medium comprising instructions, such as a memory comprising instructions executable by a processor of a carrier selection device to perform the above method.
  • the non-transitory computer readable storage medium described above may be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device.
  • the present invention is applicable to a non-joint queue scheduling structure in a scenario of inter-band spectrum aggregation, which comprehensively considers carrier characteristics and carrier load balancing, can reduce scheduling load, avoids resource waste, thereby improving carrier usage efficiency and improving system throughput.
  • the invention is applicable to the field of wireless communication technologies for achieving high carrier use efficiency and low system throughput.

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Abstract

本发明公开了一种载波选择方法，首先确定需要配置的载波数量；然后获取用户选择成员载波的效用权重因子；最后根据所述效用权重因子的大小，选择用户设备接入效用值最大的载波。本发明还公开了一种载波选择装置。本发明适用于带间频谱聚合场景下的非联合队列调度结构，综合考虑了载波特性和载波负载均衡，能够减少调度负载，避免了资源浪费，从而提高载波使用效率，提高***吞吐量。

Description

一种载波选择方法和装置 技术领域
本发明涉及无线通信技术领域，特别是涉及一种基于效用权重因子的载波选择方法和装置。
背景技术
3GPP在LTE(Long Term Evolution，长期演进)***的基础上提出了LTE-Advanced(LTE-A)的下行峰值速率1Gbit/s、上行峰值速率500Mbit/的最小需求。LTE对频谱的利用率已接近理论的上限，若要在LTE仅20MHz的最大***带宽上达到LTE-A 1Gbit/s的最高峰值速率基本是不可能实现的。因而采用合理的技术拓宽传输带宽是未来移动通信发展的必然趋势。因此，LTE-A提出了CA(Carrier Aggregation,载波聚合)技术，载波聚合可以通过整合若干个离散频带来共同为UE(User Equipment,用户设备)服务。
目前传统的无线资源调度算法，如最大载干比算法、轮询算法、比例公平算法，与单载波无线通信***不同，带有CA的LTE-A***存在多个成员载波，而传统的资源调度方案都是只考虑了RB(Resource Block,资源块)级调度，无法直接用于载波聚合场景的资源调度。而在CA的资源调度算法中，需要考虑载波级和RB级的两个层次调度。在LTE-A载波聚合场景下成分载波的选择和分组调度是无线资源管理中的两个主要功能模块。与LTE***相比，LTE-A***的无线资源管理中多了一个成分载波选择步骤。当新的UE接入到网络后，LTE-A的eNB(eNodeB)根据成分载波的信道质量及业务负载给每一个UE选择一些成分载波进行载波聚合。
但是，发明人在实现本发明时发现，如果某个UE长期选择低质量的成分载波,不仅无法给***带来可观的性能增益，还占用***资源，从而导致***资源浪费，载波使用效率和***吞吐量低。
发明内容
本发明要解决的技术问题是提供一种载波选择方法和装置，用以解决现有技术载波使用效率和***吞吐量低的问题。
为解决上述技术问题，本发明提供一种载波选择方法，所述方法包括以下步骤：
A、确定需要配置的载波数量；
B、获取用户选择成员载波的效用权重因子；
C、根据所述效用权重因子的大小，选择用户设备接入效用值最大的载波。
所述步骤A具体包括：根据用户设备上报的能力信息以及基站自身信息确定需要配置的载波数量。
所述步骤B具体包括：
B1、获取载波特性因子；
B2、获取负载均衡因子；
B3、根据所述载波特性因子和负载均衡因子，计算所述效用权重因子。
在所述步骤B1中，具体包括：
获取用户到服务基站的距离和载波的覆盖半径；
根据公式
Figure PCTCN2016073820-appb-000001
获取所述载波特性因子，其中α为用户k的载波特性因子，dk为用户k距离本小区基站的距离，Ri为成员载波i的覆盖半径，M为成员载波数目。
在所述步骤B2中，具体包括：
统计每个载波上的负载状态，计算载波上所有用户设备队列长度之和；
根据公式
Figure PCTCN2016073820-appb-000002
获取负载均衡因子，其中β为负载均衡因子，Wi为第i个载波的带宽，L(Qt,i)是第i个成员载波上用户t的队列长度，
Figure PCTCN2016073820-appb-000003
为接入到第i个载波的队列长度之和。
在所述步骤B3中，具体包括：
根据公式
Figure PCTCN2016073820-appb-000004
计算效用权重因子
Figure PCTCN2016073820-appb-000005
在所述步骤B1中，具体包括：
通过事件测量获取各个载波上的信道质量信息，从而得到信干噪比SINR并量化，以所述信干噪比SINR作为载波特性因子。
在所述步骤B2中，具体包括：
统计每个载波上的负载状态，计算载波上所有用户设备队列长度之和；
根据公式
Figure PCTCN2016073820-appb-000006
获取负载均衡因子，其中β为负载均衡因子，L(Qt,i)是第i个成员载波上用户t的队列长度，
Figure PCTCN2016073820-appb-000007
为接入到第i个载波的队列长度之和。
在所述步骤B3中，具体包括：
根据公式
Figure PCTCN2016073820-appb-000008
计算效用权重因子
Figure PCTCN2016073820-appb-000009
在所述步骤C之后，还包括判断每个用户设备的接入载波数量是否满足要求；如果不满足，则重复步骤B和步骤C，进行第二轮载波分配；否则成分载波选择结束。
本发明还提供一种载波选择装置，所述装置包括：
载波数量确定单元，用于确定需要配置的载波数量；
效用权重因子获取单元，用于获取用户选择成员载波的效用权重因子；
载波选择单元，用于根据所述效用权重因子的大小，选择用户设备接入效用值最大的载波。
所述效用权重因子获取单元包括：
载波特性因子获取子单元，用于获取载波特性因子；
负载均衡因子获取子单元，用于获取负载均衡因子；
效用权重因子计算子单元，用于根据所述载波特性因子和负载均衡因子，计算所述效用权重因子。
本发明有益效果如下：
本发明适用于带间频谱聚合场景下的非联合队列调度结构，综合考虑了载波特性和载波负载均衡，能够减少调度负载，避免了资源浪费，从而提高载波使用效率，提高***吞吐量。
附图说明
图1是基于效用权重因子的载波选择场景示意图；
图2是本发明实施例的***场景示意图；
图3是本发明实施例的一种载波选择方法的流程图。
具体实施方式
为了解决现有技术载波使用效率和***吞吐量低的问题，本发明提供了一种载波选择方法和装置，以下结合附图以及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不限定本发明。
实施例1
本发明实施例中，基站首先确定需要配置的载波数量；然后获取用户选择成员载波的效用权重因子；最后根据所述效用权重因子的大小，选择用户设备接入效用值最大的载波。
本发明实施例在带间非连续载波聚合场景的非联合队列调度结构中，LTE-A用户可以使用多个CC(Component Carrier,成员载波)上的RB，而不同载波的传输特 性相差较大，因此在RB分配之前引入载波选择，所以该模式包括载波选择和RB分配两级调度。本实施例中，采用基于效用权重因子的载波选择算法，该算法综合考虑载波负载均衡、载波特性。效用权重因子定义如下：
Figure PCTCN2016073820-appb-000010
其中，函数f表示参数α,β到
Figure PCTCN2016073820-appb-000011
的映射关系，其中
Figure PCTCN2016073820-appb-000012
表示用户k选择第i个CC的效用权重因子，α表示载波特性因子，β表示负载均衡因子。
实施例2
本发明实施例中，以N个用户选择M个载波为例，其示意图如图1所示。其中
Figure PCTCN2016073820-appb-000013
表示用户k在成分载波i上的效用权重因子。从图1可以看出，每个载波都可以承载来自N个用户的队列，每个用户都可以接入到各个载波上进行数据传输。
本实施例的实施场景为载波聚合场景，其为带间非连续载波聚合，调度器为非联合队列调度结构，假设***有H个小区，每个小区有N个LTE-A终端用户，每个用户均支持全频段工作，即可以接入M个载波，对应载波集合为：C＝{CC1,CC2,…,CCM}，载波中心频率为F＝{f1,f2,…,fM}，并且满足f1<f2<…<fM，为简化模型做出以下合理假设：
每个CC的带宽W相等，都含有相同数量的RB个数。
***采用等功率分配，不同载波的覆盖范围只与载波特性相关，因此载波CCi,i＝1,2,…,M对应的覆盖半径Ri满足关系式：R1>R2>…>RM。
考虑下行链路的无线资源调度。
载波的覆盖半径不同，不同位置的用户可以选择的载波数不同，***场景示意图如图2所示。
在带间非连续载波聚合场景下，考虑19小区3扇区，***有5个成分载波，800MHz，1.8GHz，3.25GHz，5GHz，10GHz，每个载波20MHz，包含100个RB，假设每个扇区有10个终端用户。
***进行资源调度时，首先每个扇区进行载波选择。选择成分载波时，首先进行第一轮载波选择，再根据UE业务的速率需求，决定是否要聚合其他载波。本实施例一种载波选择方法如图3所示，所述方法包括以下步骤：
步骤s301，确定需要配置的载波数量。本实施例中，基站根据UE上报的能力信息以及基站自身相关信息确定。如果是LTE***UE，则只能拥有一个成分载波。若是LTE-Advanced***UE，则可以拥有多个成分载波。
步骤s302，获取载波特性因子。本实施例中，基站首先获取用户到服务基站的距离和载波的覆盖半径；然后根据公式
Figure PCTCN2016073820-appb-000014
获取所述载波特性因子，其中α为用户k的载波特性因子，dk为用户k距离本小区基站的距离，Ri为成员载波i 的覆盖半径，M为成员载波数目。
在LET/LTE-A***中对于特定的一个载波而言，加载在其之上的用户距离服务基站越远，传输信号的强度就越小。反之，距离越近则信号强度越大。从而可以看出对这个特定的载波而言，加载在其之上的用户与服务基站之间的距离对载波特性因子的贡献会随着距离的变大(变小)而变小(变大)。而在LET-A***中加入了载波聚合技术，该技术可以联合调度不同频段的非连续的载波，而这些载波的频点间隔可能会非常大，各个频点的载波特性也会有很大的不同。众所周知，高频点对应的载波的波长较低频点载波的波长要短，不利于长距离传输，因此只能覆盖服务小区的中央区域，而低频点载波却可以用于覆盖整个小区。由此，可以将不同频点载波的覆盖半径加入到载波特性因子的评估中来，具体就是载波覆盖半径越大(小)载波特性因子越大(小)。
步骤s303，获取负载均衡因子。本实施例中，基站首先统计每个载波上的负载状态，计算载波上所有用户设备队列长度之和；然后根据公式
Figure PCTCN2016073820-appb-000015
获取负载均衡因子，其中β为负载均衡因子，Wi为第i个载波的带宽，L(Qt,i)是第i个成员载波上用户t的队列长度，
Figure PCTCN2016073820-appb-000016
为接入到第i个载波的队列长度之和。
本实施例中，假设所有载波的载波特性因子相同。负载均衡也就意味着让各个频点的载波承载与之相匹配的数据量，而对于不同载波而言他们拥有不同的带宽，而且每个载波上加载的用户的队列长度之和也是不同的。因此影响负载均衡的变量就是载波的带宽以及加载在该载波上的队列长度之和。具体分析，载波的带宽越大(小)，他对负载均衡因子的贡献越大(小)；加载在该载波上的队列长度之和越长(短)，负载均衡因子越小(大)。
步骤s304，根据所述载波特性因子和负载均衡因子，计算所述效用权重因子。本实施例中，基站根据公式
Figure PCTCN2016073820-appb-000017
计算效用权重因子
Figure PCTCN2016073820-appb-000018
其中，当dk>Ri时，用户到基站距离大于载波i的覆盖半径，不能接入载波i，因此权重因子为0。
步骤s305，基站根据所述效用权重因子的大小，选择用户设备接入效用值最大的载波，完成UE与CC之间的映射，同时更新载波上队列。
步骤s306，基站判断每个用户设备的接入载波数量是否满足要求；如果不满足， 则重复步骤s302～步骤s305，进行第二轮载波分配；否则成分载波选择结束。
实施例3
本实施例的载波选择方法与实施例2类似，只是获取用户选择成员载波的效用权重因子的过程不同。考虑到在实际通信过程中，用户与基站的距离dk获取困难，限制了算法的实用性，本实施例将α定义为信干噪比SINR。效用权重因子
Figure PCTCN2016073820-appb-000019
定义如下：
Figure PCTCN2016073820-appb-000020
本发明实施例的载波选择方法如图3所示，与实施例2相比：
在步骤s302中，本实施例通过事件测量获取各个载波上的信道质量信息，从而得到信干噪比SINR并量化，以所述信干噪比SINR作为载波特性因子。。
在步骤s103中，本实施例首先统计每个载波上的负载状态，计算载波上所有用户设备队列长度之和；然后根据公式
Figure PCTCN2016073820-appb-000021
获取负载均衡因子，其中β为负载均衡因子，L(Qt,i)是第i个成员载波上用户t的队列长度，
Figure PCTCN2016073820-appb-000022
为接入到第i个载波的队列长度之和。
在步骤s104中，本实施例根据公式
Figure PCTCN2016073820-appb-000023
计算效用权重因子
Figure PCTCN2016073820-appb-000024
成分载波选择结束之后，形成如表1表示的一个载波选择结果，基站根据此表对用户进行载波分配。
表1
Figure PCTCN2016073820-appb-000025
实施例4
本实施例的一种载波选择装置包括载波数量确定单元、效用权重因子获取单元和载波选择单元，其中效用权重因子获取单元分别与载波数量确定单元和载波选择单元连接。
载波数量确定单元用于确定需要配置的载波数量；效用权重因子获取单元用于获取用户选择成员载波的效用权重因子；载波选择单元用于根据所述效用权重因子的大 小，选择用户设备接入效用值最大的载波。
效用权重因子获取单元包括载波特性因子获取子单元、负载均衡因子获取子单元和效用权重因子计算子单元，其中效用权重因子计算子单元分别与载波特性因子获取子单元和负载均衡因子获取子单元连接。
载波特性因子获取子单元用于获取载波特性因子；负载均衡因子获取子单元用于获取负载均衡因子；效用权重因子计算子单元用于根据所述载波特性因子和负载均衡因子，计算所述效用权重因子。
上述载波选择装置被配置为执行上述载波选择方法。该载波选择装置可以是基站、计算机、服务器等。该载波选择装置可以包括处理部件、存储器、电力部件、输入输出接口、通信部件中的至少一个。
处理部件可以执行载波选择装置的全部操作，例如数据通信、记录操作等。处理部件可以包括一个或多个处理器，用以执行指令以实施上述方法中的所有或部分步骤。而且，处理部件可以包括利于处理部件与其他部件之间交互的一个或多个模块。
存储器被配置为存储各种类型的数据以支持载波选择装置的操作。这种数据的示例包括在载波选择装置上运行的任意应用或方法的指令、消息等。存储器可以使用任何类型的易失性或非易失性存储器件或其组合来实施，例如静态随机存取存储器(SRAM)，电可擦除可编程只读存储器(EEPROM)，可擦除可编程只读存储器(EPROM)，可编程只读存储器(PROM)，只读存储器(ROM)，磁存储器，快闪存储器，磁盘或光盘。
电力组件为载波选择装置的各种组件提供电力。
输入输出接口为处理组件和***接口模块之间提供接口，上述***接口模块可以是键盘、点击轮、按钮等。
通信组件被配置为便于载波选择装置和其他设备之间有线或者无线方式的通信。
在示例性实施例中，还提供了一种包括指令的非临时性计算机可读存储介质，例如包括指令的存储器，上述指令可由载波选择装置的处理器执行以完成上述方法。例如，上述非临时性计算机可读存储介质可以是ROM、随机存取存储器(RAM)、CD-ROM、磁带、软盘和光数据存储设备等。
本发明适用于带间频谱聚合场景下的非联合队列调度结构，综合考虑了载波特性和载波负载均衡，能够减少调度负载，避免了资源浪费，从而提高载波使用效率，提高***吞吐量。
尽管为示例目的，已经公开了本发明的优选实施例，本领域的技术人员将意识到各种改进、增加和取代也是可能的，因此，本发明的范围应当不限于上述实施例。
工业实用性
本发明适用于无线通信技术领域，用以实现高载波使用效率和低***吞吐量。

Claims (12)

  1. 一种载波选择方法，其中，所述方法包括以下步骤：
    A、确定需要配置的载波数量；
    B、获取用户选择成员载波的效用权重因子；
    C、根据所述效用权重因子的大小，选择用户设备接入效用值最大的载波。
  2. 如权利要求1所述的载波选择方法，其中，所述步骤A包括：根据用户设备上报的能力信息以及基站自身信息确定需要配置的载波数量。
  3. 如权利要求1所述的载波选择方法，其中，所述步骤B包括：
    B1、获取载波特性因子；
    B2、获取负载均衡因子；
    B3、根据所述载波特性因子和负载均衡因子，计算所述效用权重因子。
  4. 如权利要求3所述的载波选择方法，其中，在所述步骤B1中，包括：
    获取用户到服务基站的距离和载波的覆盖半径；
    根据公式
    Figure PCTCN2016073820-appb-100001
    获取所述载波特性因子，其中α为用户k的载波特性因子，dk为用户k距离本小区基站的距离，Ri为成员载波i的覆盖半径，M为成员载波数目。
  5. 如权利要求4所述的载波选择方法，其中，在所述步骤B2中，包括：
    统计每个载波上的负载状态，计算载波上所有用户设备队列长度之和；
    根据公式
    Figure PCTCN2016073820-appb-100002
    获取负载均衡因子，其中β为负载均衡因子，Wi为第i个载波的带宽，L(Qt,i)是第i个成员载波上用户t的队列长度，
    Figure PCTCN2016073820-appb-100003
    为接入到第i个载波的队列长度之和。
  6. 如权利要求5所述的载波选择方法，其中，在所述步骤B3中，包括：
    根据公式
    Figure PCTCN2016073820-appb-100004
    计算效用权重因子
    Figure PCTCN2016073820-appb-100005
  7. 如权利要求3所述的载波选择方法，其中，在所述步骤B1中，包括：
    通过事件测量获取各个载波上的信道质量信息，从而得到信干噪比SINR并量化，以所述信干噪比SINR作为载波特性因子。
  8. 如权利要求7所述的载波选择方法，其中，在所述步骤B2中，包括：
    统计每个载波上的负载状态，计算载波上所有用户设备队列长度之和；
    根据公式
    Figure PCTCN2016073820-appb-100006
    获取负载均衡因子，其中β为负载均衡因子，L(Qt,i)是第i个成员载波上用户t的队列长度，
    Figure PCTCN2016073820-appb-100007
    为接入到第i个载波的队列长度之和。
  9. 如权利要求8所述的载波选择方法，其中，在所述步骤B3中，包括：
    根据公式
    Figure PCTCN2016073820-appb-100008
    计算效用权重因子
    Figure PCTCN2016073820-appb-100009
  10. 如权利要求1至9任一项所述的载波选择方法，其中，在所述步骤C之后，还包括判断每个用户设备的接入载波数量是否满足要求；如果不满足，则重复步骤B和步骤C，进行第二轮载波分配；如果满足，则成分载波选择结束。
  11. 一种载波选择装置，其中，所述装置包括：
    载波数量确定单元，设置为确定需要配置的载波数量；
    效用权重因子获取单元，设置为获取用户选择成员载波的效用权重因子；
    载波选择单元，设置为根据所述效用权重因子的大小，选择用户设备接入效用值最大的载波。
  12. 如权利要求11所述的载波选择装置，其中，所述效用权重因子获取单元包括：
    载波特性因子获取子单元，设置为获取载波特性因子；
    负载均衡因子获取子单元，设置为获取负载均衡因子；
    效用权重因子计算子单元，设置为根据所述载波特性因子和负载均衡因子，计算所述效用权重因子。
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