WO2016033953A1 - 资源分配方法及装置 - Google Patents

资源分配方法及装置 Download PDF

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Publication number
WO2016033953A1
WO2016033953A1 PCT/CN2015/074131 CN2015074131W WO2016033953A1 WO 2016033953 A1 WO2016033953 A1 WO 2016033953A1 CN 2015074131 W CN2015074131 W CN 2015074131W WO 2016033953 A1 WO2016033953 A1 WO 2016033953A1
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mimo
information
mimo ues
ues
priority
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PCT/CN2015/074131
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English (en)
French (fr)
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徐万夫
李军
鲁绍贵
龙志军
李刚
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中兴通讯股份有限公司
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Publication of WO2016033953A1 publication Critical patent/WO2016033953A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/56—Allocation or scheduling criteria for wireless resources based on priority criteria

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  • the present invention relates to the field of communications, and in particular to a resource allocation method and apparatus.
  • MIMO Multiple Input Multiple Output
  • Diversity is used to mitigate multipath fading.
  • the impact, and can effectively eliminate co-channel interference, improve channel reliability, reduce bit error rate, is the key technology adopted by the new generation of mobile communication systems.
  • MU-MIMO Multiple User-Multiple Input Multiple Output
  • QoS quality of service
  • the MU-MIMO system increases the number of users scheduled on the same time-frequency resource, and the physical downlink control channel of the base station for the terminal that does not introduce the enhanced physical downlink control channel (ePDCCH)
  • ePDCCH enhanced physical downlink control channel
  • the (PDCCH) resources are limited, and therefore, the number of terminals that can allocate resources at each scheduling is limited. Then how to allocate limited control channel resources to the users to be scheduled, and to maximize the system capacity while ensuring user QoS becomes the key to MU-MIMO multi-user scheduling.
  • the shortcoming of the existing MU-MIMO scheduling technology is that the currently used MU-MIMO scheduling technology usually sets the MU-MIMO processing after resource allocation, that is, after normal scheduling, it searches for suitable paired users and resources. Allocation, so it is impossible to increase system capacity while guaranteeing user QoS.
  • the embodiments of the present invention provide a resource allocation method and apparatus, so as to at least solve the problem of how to perform reasonable resource allocation in the related art to improve system capacity under the condition of ensuring user QoS when performing MU-MIMO scheduling.
  • a resource allocation method is provided.
  • a resource allocation method includes: receiving a set of information reported by a plurality of MU-MIMO UEs, wherein the information set is used to perform some or all of the plurality of MU-MIMO UEs Pairing; pairing some or all of the MU-MIMO UEs according to the information set and determining the scheduling priority; performing resource allocation according to the scheduling priority.
  • pairing some or all of the MU-MIMO UEs according to the information set comprises: calculating a correlation between some or all of the MU-MIMO UEs according to the information set; and calculating the result according to the correlation and the preset pairing search algorithm Or all MU-MIMO UEs are paired.
  • the method further includes: selecting, by the priority matrix, a plurality of MU-MIMO UEs according to a priority order; and selecting, from the plurality of MU-MIMO UEs according to a preset condition. Select some or all of the MU-MIMO UEs.
  • a pairing group a logical channel larger than GBR and smaller than a maximum bit rate (MBR), greater than PBR
  • NGBR non-guaranteed bit rate
  • the foregoing information set includes at least one of: reference signal information, channel quality information, logical channel priority information, and quality of service QoS requirement information.
  • a resource allocation apparatus is provided.
  • a resource allocation apparatus includes: a receiving module, configured to receive a set of information reported by a plurality of MU-MIMO UEs, wherein the information set is used for some or all of the plurality of MU-MIMO UEs Performing pairing; the processing module is configured to pair some or all of the MU-MIMO UEs according to the information set and determine a scheduling priority; and the allocation module is configured to perform resource allocation according to the scheduling priority.
  • the processing module comprises: a calculating unit configured to calculate a correlation between some or all of the MU-MIMO UEs according to the information set; the pairing unit is set to be based on the correlation calculation result and the preset pairing search algorithm All MU-MIMO UEs are paired.
  • the apparatus further includes: a first selecting module, configured to select a plurality of MU-MIMO UEs according to a priority order from the preset matrix; and a second selecting module configured to select from the plurality of MU-MIMO UEs according to a preset condition Select some or all of the MU-MIMO UEs.
  • a first selecting module configured to select a plurality of MU-MIMO UEs according to a priority order from the preset matrix
  • a second selecting module configured to select from the plurality of MU-MIMO UEs according to a preset condition Select some or all of the MU-MIMO UEs.
  • the processing module further comprises: a determining unit, configured to follow a logical channel smaller than the PBR or the GBR, a pairing group, a logical channel larger than the GBR and smaller than the MBR, and an NGBR logical channel larger than the PBR according to some or all of the MU-MIMO UEs Prioritize sequentially to determine the scheduling priority.
  • a determining unit configured to follow a logical channel smaller than the PBR or the GBR, a pairing group, a logical channel larger than the GBR and smaller than the MBR, and an NGBR logical channel larger than the PBR according to some or all of the MU-MIMO UEs Prioritize sequentially to determine the scheduling priority.
  • the foregoing information set includes at least one of: reference signal information, channel quality information, logical channel priority information, and quality of service QoS requirement information.
  • the embodiment of the present invention is configured to receive a set of information reported by multiple MU-MIMO UEs, where the information set is used to pair some or all of the MU-MIMO UEs of the multiple MU-MIMO UEs; All the MU-MIMO UEs are paired and the scheduling priority is determined; the resource allocation is performed according to the scheduling priority, and how to perform reasonable resource allocation in the MU-MIMO scheduling in the related art is solved as much as possible to ensure the user QoS.
  • the capacity problem in turn, can maximize system throughput while ensuring user QoS.
  • FIG. 1 is a flow chart of a resource allocation method according to an embodiment of the present invention.
  • FIG. 2 is a flow chart of MU-MIMO multi-user pairing processing in accordance with a preferred embodiment of the present invention
  • FIG. 3 is a flow diagram of MU-MIMO multi-user scheduling prioritization in accordance with a preferred embodiment of the present invention
  • FIG. 4 is a structural block diagram of a resource allocation apparatus according to an embodiment of the present invention.
  • FIG. 5 is a structural block diagram of a resource allocation apparatus according to a preferred embodiment of the present invention.
  • FIG. 6 is a schematic structural diagram of a MU-MIMO multi-user scheduling apparatus of a wireless communication system according to a preferred embodiment of the present invention.
  • FIG. 1 is a flow chart of a resource allocation method according to an embodiment of the present invention. As shown in FIG. 1, the method may include the following processing steps:
  • Step S102 Receive a plurality of information sets reported by the MU-MIMO UE, where the information set is used to pair some or all of the plurality of MU-MIMO UEs;
  • Step S104 Pair some or all MU-MIMO UEs according to the information set and determine a scheduling priority
  • Step S106 Perform resource allocation according to the scheduling priority.
  • the foregoing information set may include, but is not limited to, at least one of the following:
  • QoS Quality of Service
  • pairing some or all of the MU-MIMO UEs according to the information set may include the following operations:
  • Step S1 calculating, according to the information set, a correlation between some or all of the MU-MIMO UEs;
  • Step S2 Pairing some or all of the MU-MIMO UEs according to the correlation calculation result and the preset pairing search algorithm.
  • FIG. 2 is a flow diagram of a MU-MIMO multi-user pairing process in accordance with a preferred embodiment of the present invention. As shown in FIG. 2, the process may include the following steps:
  • Step S202 Receive a set of information reported by the user (for example, signal quality information);
  • Step S204 Calculate correlation between users according to signal quality information
  • Step S206 Determine the MU-MIMO pairing user according to the correlation between the users.
  • step S104 Preferably, before the pairing of all or all of the MU-MIMO UEs according to the information set, the following steps may be further included in step S104:
  • Step S3 selecting a plurality of MU-MIMO UEs in order of priority from the preset matrix
  • Step S4 Select some or all of the MU-MIMO UEs from multiple MU-MIMO UEs according to preset conditions.
  • step S104 logical channels, pairing groups, greater than GBR, and less than a maximum bit rate (MBR) that are less than a priority bit rate (PBR) or a guaranteed bit rate (GBR) in some or all of the MU-MIMO UEs may be used.
  • MBR maximum bit rate
  • PBR priority bit rate
  • GRR guaranteed bit rate
  • the logical channel and the non-guaranteed bit rate (NGBR) logical channel larger than the PBR are sequentially prioritized to determine the scheduling priority.
  • FIG. 3 is a flow diagram of MU-MIMO multi-user scheduling prioritization in accordance with a preferred embodiment of the present invention. As shown in FIG. 3, the process may include the following steps:
  • Step S302 Select M UEs for scheduling according to a priority order from a preset matrix (for example, an eMLP matrix), where M is a positive integer;
  • a preset matrix for example, an eMLP matrix
  • Step S304 Select K users from the M UEs to satisfy the preset condition (for example, the MCS is smaller than the preset threshold, and the Buffer of the UE is less than the preset threshold), where K is a positive integer and K ⁇ M ;
  • Step S306 logical channel, pairing group, logical channel greater than GBR less than maximum bit rate (MBR), and non-guaranteed bit rate (NGBR) logic greater than PBR according to less than priority bit rate (PBR)/guaranteed bit rate (GBR)
  • MBR maximum bit rate
  • NGBR non-guaranteed bit rate
  • the resource allocation apparatus may include: a receiving module 10 configured to receive a set of information reported by a plurality of MU-MIMO UEs, where the information set is used for some or all of the plurality of MU-MIMO UEs The MIMO UE performs pairing; the processing module 20 is configured to pair some or all of the MU-MIMO UEs according to the information set and determine a scheduling priority; and the allocation module 30 is configured to perform resource allocation according to the scheduling priority.
  • the device shown in FIG. 4 solves the problem of how to perform reasonable resource allocation in the related art to improve the system capacity under the condition of ensuring user QoS when performing MU-MIMO scheduling, thereby ensuring the basis of user QoS. Maximize system throughput.
  • the foregoing information set may include, but is not limited to, at least one of the following:
  • QoS Quality of Service
  • the processing module 20 may include: a calculating unit 200 configured to calculate a correlation between some or all of the MU-MIMO UEs according to the information set; the pairing unit 202 is configured to calculate a result according to the correlation And a preset pairing search algorithm pairs some or all of the MU-MIMO UEs.
  • the foregoing apparatus may further include: a first selecting module 40, configured to select a plurality of MU-MIMO UEs according to a priority order from the preset matrix; and the second selecting module 50 is configured to follow the pre-predetermined It is assumed that some or all of the MU-MIMO UEs are selected from a plurality of MU-MIMO UEs.
  • the processing module 20 may further include: a determining unit 204, configured to follow a logical channel smaller than the PBR or the GBR, a pairing group, a logical channel larger than the GBR, and smaller than the MBR according to some or all of the MU-MIMO UEs.
  • the order of the NGBR logical channels larger than the PBR is sequentially prioritized to determine the scheduling priority.
  • the MU-MIMO multi-user scheduling apparatus may include: a signal receiving unit, a priority processing unit, and a scheduling output unit.
  • a signal receiving unit (corresponding to the receiving module) configured to receive a reference signal reported by the user, and information such as channel quality information, logical channel priority, and QoS requirements;
  • Scheduling output unit (equivalent to the above allocation module): resource allocation according to user priority.
  • the above embodiments achieve the following technical effects (it is required that the effects are achievable by some preferred embodiments): using the technical solutions provided by the embodiments of the present invention, Compared with MU-MIMO pairing technology, pairing is performed before resource allocation, thereby fully considering the orthogonality between multiple users to select paired users, so as to maximize system throughput on the basis of ensuring user QoS. . Especially for more than 2 user pairs, performance will be significantly improved.
  • modules or steps of the present invention described above can be implemented by a general-purpose computing device that can be centralized on a single computing device or distributed across a network of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device such that they may be stored in the storage device by the computing device and, in some cases, may be different from the order herein.
  • the steps shown or described are performed, or they are separately fabricated into individual integrated circuit modules, or a plurality of modules or steps thereof are fabricated as a single integrated circuit module.
  • the invention is not limited to any specific combination of hardware and software.

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  • Computer Networks & Wireless Communication (AREA)
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Abstract

本发明公开了一种资源分配方法及装置，在上述方法中，接收多个MU-MIMO UE上报的信息集合，其中，信息集合用于对多个MU-MIMO UE中的部分或全部MU-MIMO UE进行配对；按照信息集合对部分或全部MU-MIMO UE进行配对并确定调度优先级；根据调度优先级进行资源分配。根据本发明提供的技术方案，进而可以在保证用户QoS的基础上最大限度地提高系统吞吐量。

Description

资源分配方法及装置 技术领域
本发明涉及通信领域，具体而言，涉及一种资源分配方法及装置。
背景技术
多输入多输出(Multiple Input Multiple Output，简称为MIMO)是一种空间分集技术，其在不增加系统带宽的情况下成倍地提高通信系统的容量和频谱利用率；利用分集来减轻多径衰落的影响，并能有效地消除共道干扰，提高信道的可靠性，降低误码率，是新一代移动通信系统采用的关键技术。
多用户-多输入多输出(Multiple User-Multiple Input Multiple Output，简称为MU-MIMO)是能够使得多用户使用相同的时频资源，从而进一步提高系统容量的方法和技术。MU-MIMO调度的总体目标是尽可能多的满足用户业务的服务质量(QoS)需求，并在此基础上最大程度地提高系统容量。MU-MIMO系统相对于SU-MIMO系统来说，其增加了在相同的时频资源上调度的用户数，对于没有引入增强物理下行控制信道(ePDCCH)的终端来说，基站的物理下行控制信道(PDCCH)资源有限，因此，在每次调度时能够分配资源的终端数目是有限的。那么如何能够将有限的控制信道资源分配到待调度的用户中，在保证用户QoS的情况下尽量提高系统容量成为了MU-MIMO多用户调度的关键。
现有MU-MIMO调度技术所存在的缺陷在于：目前所采用的MU-MIMO调度技术通常是将MU-MIMO处理设置在资源分配之后，即在正常调度之后才会寻找合适的配对用户以及进行资源分配，因而无法在保证用户QoS的情况下提升系统容量。
发明内容
本发明实施例提供了一种资源分配方法及装置，以至少解决相关技术中在进行MU-MIMO调度时，如何进行合理的资源分配在保证用户QoS的情况下尽量提升系统容量的问题。
根据本发明实施例的一个方面，提供了一种资源分配方法。
根据本发明实施例的资源分配方法包括：接收多个MU-MIMO UE上报的信息集合，其中，信息集合用于对多个MU-MIMO UE中的部分或全部MU-MIMO UE进行 配对；按照信息集合对部分或全部MU-MIMO UE进行配对并确定调度优先级；根据调度优先级进行资源分配。
优选地，按照信息集合对部分或全部MU-MIMO UE进行配对包括：根据信息集合计算部分或全部MU-MIMO UE相互之间的相关性；根据相关性计算结果以及预设的配对搜索算法对部分或全部MU-MIMO UE进行配对。
优选地，在按照信息集合对部分或全部MU-MIMO UE进行配对之前，还包括：从预设矩阵中按照优先级顺序选取多个MU-MIMO UE；按照预设条件从多个MU-MIMO UE选取部分或全部MU-MIMO UE。
优选地，按照部分或全部MU-MIMO UE中小于优先级比特速率(PBR)或保证比特速率(GBR)的逻辑信道、配对组、大于GBR且小于最大比特速率(MBR)的逻辑信道、大于PBR的非保证比特速率(NGBR)逻辑信道的顺序依次进行优先级排序，确定调度优先级。
优选地，上述信息集合包括以下至少之一：参考信号信息、信道质量信息、逻辑信道优先级信息、服务质量QoS要求信息。
根据本发明实施例的另一方面，提供了一种资源分配装置。
根据本发明实施例的资源分配装置包括：接收模块，设置为接收多个MU-MIMO UE上报的信息集合，其中，信息集合用于对多个MU-MIMO UE中的部分或全部MU-MIMO UE进行配对；处理模块，设置为按照信息集合对部分或全部MU-MIMO UE进行配对并确定调度优先级；分配模块，设置为根据调度优先级进行资源分配。
优选地，处理模块包括：计算单元，设置为根据信息集合计算部分或全部MU-MIMO UE相互之间的相关性；配对单元，设置为根据相关性计算结果以及预设的配对搜索算法对部分或全部MU-MIMO UE进行配对。
优选地，上述装置还包括：第一选取模块，设置为从预设矩阵中按照优先级顺序选取多个MU-MIMO UE；第二选取模块，设置为按照预设条件从多个MU-MIMO UE选取部分或全部MU-MIMO UE。
优选地，处理模块还包括：确定单元，设置为按照部分或全部MU-MIMO UE中小于PBR或GBR的逻辑信道、配对组、大于GBR且小于MBR的逻辑信道、大于PBR的NGBR逻辑信道的顺序依次进行优先级排序，确定调度优先级。
优选地，上述信息集合包括以下至少之一：参考信号信息、信道质量信息、逻辑信道优先级信息、服务质量QoS要求信息。
通过本发明实施例，采用接收多个MU-MIMO UE上报的信息集合，其中，信息集合用于对多个MU-MIMO UE中的部分或全部MU-MIMO UE进行配对；按照信息集合对部分或全部MU-MIMO UE进行配对并确定调度优先级；根据调度优先级进行资源分配，解决了相关技术中在进行MU-MIMO调度时，如何进行合理的资源分配在保证用户QoS的情况下尽量提升系统容量的问题，进而可以在保证用户QoS的基础上最大限度地提高系统吞吐量。
附图说明
此处所说明的附图用来提供对本发明的进一步理解，构成本申请的一部分，本发明的示意性实施例及其说明用于解释本发明，并不构成对本发明的不当限定。在附图中：
图1是根据本发明实施例的资源分配方法的流程图；
图2是根据本发明优选实施例的MU-MIMO多用户配对处理的流程图；
图3是根据本发明优选实施例的MU-MIMO多用户调度优先级排序的流程图；
图4是根据本发明实施例的资源分配装置的结构框图；
图5是根据本发明优选实施例的资源分配装置的结构框图；
图6是根据本发明优选实施例的无线通信系统MU-MIMO多用户调度装置的结构示意图。
具体实施方式
下文中将参考附图并结合实施例来详细说明本发明。需要说明的是，在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互组合。
图1是根据本发明实施例的资源分配方法的流程图。如图1所示，该方法可以包括以下处理步骤：
步骤S102：接收多个MU-MIMO UE上报的信息集合，其中，信息集合用于对多个MU-MIMO UE中的部分或全部MU-MIMO UE进行配对；
步骤S104：按照信息集合对部分或全部MU-MIMO UE进行配对并确定调度优先级；
步骤S106：根据调度优先级进行资源分配。
相关技术中在进行MU-MIMO调度时，如何进行合理的资源分配在保证用户QoS的情况下尽量提升系统容量。采用如图1所示的方法，在资源分配之前进行配对，通过充分考虑多用户之间的正交性来选择配对用户，由此在确保用户QoS的基础上最大限度地提高系统吞吐量，从而解决了相关技术中在进行MU-MIMO调度时，如何进行合理的资源分配在保证用户QoS的情况下尽量提升系统容量的问题，进而可以在保证用户QoS的基础上最大限度地提高系统吞吐量。
在优选实施过程中，上述信息集合可以包括但不限于以下至少之一：
(1)参考信号信息；
(2)信道质量信息；
(3)逻辑信道优先级信息；
(4)服务质量(QoS)要求信息。
优选地，在步骤S104中，按照信息集合对部分或全部MU-MIMO UE进行配对可以包括以下操作：
步骤S1：根据信息集合计算部分或全部MU-MIMO UE相互之间的相关性；
步骤S2：根据相关性计算结果以及预设的配对搜索算法对部分或全部MU-MIMO UE进行配对。
图2是根据本发明优选实施例的MU-MIMO多用户配对处理的流程图。如图2所示，该流程可以包括以下步骤：
步骤S202：接收用户上报的信息集合(例如：信号质量信息)；
步骤S204：根据信号质量信息计算用户之间的相关性；
步骤S206：根据用户之间的相关性确定MU-MIMO配对用户。
优选地，在步骤S104，按照信息集合对部分或全部MU-MIMO UE进行配对之前，还可以包括以下步骤：
步骤S3：从预设矩阵中按照优先级顺序选取多个MU-MIMO UE；
步骤S4：按照预设条件从多个MU-MIMO UE选取部分或全部MU-MIMO UE。
优选地，在步骤S104中，可以按照部分或全部MU-MIMO UE中小于优先级比特速率(PBR)或保证比特速率(GBR)的逻辑信道、配对组、大于GBR且小于最大比特速率(MBR)的逻辑信道、大于PBR的非保证比特速率(NGBR)逻辑信道的顺序依次进行优先级排序，确定调度优先级。
图3是根据本发明优选实施例的MU-MIMO多用户调度优先级排序的流程图。如图3所示，该流程可以包括以下步骤：
步骤S302：从预设矩阵(例如：eMLP矩阵)中按照优先级顺序挑选M个UE用于调度，其中，M为正整数；
步骤S304：从M个UE中选出K个用于满足预设条件(例如：MCS小于预设阈值、UE的Buffer小于预设阈值)的用户进行配对，其中，K为正整数且K≤M；
步骤S306：按照小于优先级比特速率(PBR)/保证比特速率(GBR)的逻辑信道、配对组、大于GBR小于最大比特速率(MBR)的逻辑信道、大于PBR的非保证比特速率(NGBR)逻辑信道顺序依次进行优先级排序。
图4是根据本发明实施例的资源分配装置的结构框图。如图4所示，该资源分配装置可以包括：接收模块10，设置为接收多个MU-MIMO UE上报的信息集合，其中，信息集合用于对多个MU-MIMO UE中的部分或全部MU-MIMO UE进行配对；处理模块20，设置为按照信息集合对部分或全部MU-MIMO UE进行配对并确定调度优先级；分配模块30，设置为根据调度优先级进行资源分配。
采用如图4所示的装置，解决了相关技术中在进行MU-MIMO调度时，如何进行合理的资源分配在保证用户QoS的情况下尽量提升系统容量的问题，进而可以在保证用户QoS的基础上最大限度地提高系统吞吐量。
在优选实施过程中，上述信息集合可以包括但不限于以下至少之一：
(1)参考信号信息；
(2)信道质量信息；
(3)逻辑信道优先级信息；
(4)服务质量(QoS)要求信息。
优选地，如图5所示，处理模块20可以包括：计算单元200，设置为根据信息集合计算部分或全部MU-MIMO UE相互之间的相关性；配对单元202，设置为根据相关性计算结果以及预设的配对搜索算法对部分或全部MU-MIMO UE进行配对。
优选地，如图5所示，上述装置还可以包括：第一选取模块40，设置为从预设矩阵中按照优先级顺序选取多个MU-MIMO UE；第二选取模块50，设置为按照预设条件从多个MU-MIMO UE选取部分或全部MU-MIMO UE。
优选地，如图5所示，处理模块20还可以包括：确定单元204，设置为按照部分或全部MU-MIMO UE中小于PBR或GBR的逻辑信道、配对组、大于GBR且小于MBR的逻辑信道、大于PBR的NGBR逻辑信道的顺序依次进行优先级排序，确定调度优先级。
图6是根据本发明优选实施例的无线通信系统MU-MIMO多用户调度装置的结构示意图。如图6所示，该MU-MIMO多用户调度装置可以包括：信号接收单元、优先级处理单元和调度输出单元。
信号接收单元(相当于上述接收模块)：设置为接收用户上报的参考信号以及信道质量信息、逻辑信道优先级、QoS要求等信息；
优先级处理单元(相当于上述处理模块)：根据接收到的用户信道质量信息进行用户间相关性的计算，并根据计算结果以及配对搜索算法确定配对的MU-MIMO用户，并调整调度优先级；
调度输出单元(相当于上述分配模块)：按照用户优先级进行资源分配。
从以上的描述中，可以看出，上述实施例实现了如下技术效果(需要说明的是这些效果是某些优选实施例可以达到的效果)：采用本发明实施例所提供的技术方案，与现有MU-MIMO配对技术相比，在资源分配之前进行配对，由此充分考虑了多用户之间的正交性来选择配对用户，这样可以在保证用户QoS的基础上最大限度地提高系统吞吐量。尤其对于多于2个的用户配对，性能会有显著提升。
显然，本领域的技术人员应该明白，上述的本发明的各模块或各步骤可以用通用的计算装置来实现，它们可以集中在单个的计算装置上，或者分布在多个计算装置所组成的网络上，可选地，它们可以用计算装置可执行的程序代码来实现，从而，可以将它们存储在存储装置中由计算装置来执行，并且在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤，或者将它们分别制作成各个集成电路模块，或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。这样，本发明不限制于任何特定的硬件和软件结合。
以上所述仅为本发明的优选实施例而已，并不用于限制本发明，对于本领域的技术人员来说，本发明可以有各种更改和变化。凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。
工业实用性
如上所述，本发明实施例提供的一种资源分配方法及装置具有以下有益效果：在资源分配之前进行配对，由此充分考虑了多用户之间的正交性来选择配对用户，这样可以在保证用户QoS的基础上最大限度地提高系统吞吐量，尤其对于多于2个的用户配对，性能会有显著提升。

Claims (10)

  1. 一种资源分配方法，包括：
    接收多个多用户-多输入多输出MU-MIMO用户设备UE上报的信息集合，其中，所述信息集合用于对所述多个MU-MIMO UE中的部分或全部MU-MIMO UE进行配对；
    按照所述信息集合对所述部分或全部MU-MIMO UE进行配对并确定调度优先级；
    根据所述调度优先级进行资源分配。
  2. 根据权利要求1所述的方法，其中，按照所述信息集合对所述部分或全部MU-MIMO UE进行配对包括：
    根据所述信息集合计算所述部分或全部MU-MIMO UE相互之间的相关性；
    根据相关性计算结果以及预设的配对搜索算法对所述部分或全部MU-MIMO UE进行配对。
  3. 根据权利要求2所述的方法，其中，在按照所述信息集合对所述部分或全部MU-MIMO UE进行配对之前，还包括：
    从预设矩阵中按照优先级顺序选取所述多个MU-MIMO UE；
    按照预设条件从所述多个MU-MIMO UE选取所述部分或全部MU-MIMO UE。
  4. 根据权利要求2所述的方法，其中，按照所述部分或全部MU-MIMO UE中小于优先级比特速率PBR或保证比特速率GBR的逻辑信道、配对组、大于GBR且小于最大比特速率MBR的逻辑信道、大于PBR的非保证比特速率NGBR逻辑信道的顺序依次进行优先级排序，确定所述调度优先级。
  5. 根据权利要求1至4中任一项所述的方法，其中，所述信息集合包括以下至少之一：参考信号信息、信道质量信息、逻辑信道优先级信息、服务质量QoS要求信息。
  6. 一种资源分配装置，包括：
    接收模块，设置为接收多个多用户-多输入多输出MU-MIMO用户设备UE上报的信息集合，其中，所述信息集合用于对所述多个MU-MIMO UE中的部分或全部MU-MIMO UE进行配对；
    处理模块，设置为按照所述信息集合对所述部分或全部MU-MIMO UE进行配对并确定调度优先级；
    分配模块，设置为根据所述调度优先级进行资源分配。
  7. 根据权利要求6所述的装置，其中，所述处理模块包括：
    计算单元，设置为根据所述信息集合计算所述部分或全部MU-MIMO UE相互之间的相关性；
    配对单元，设置为根据相关性计算结果以及预设的配对搜索算法对所述部分或全部MU-MIMO UE进行配对。
  8. 根据权利要求7所述的装置，其中，所述装置还包括：
    第一选取模块，设置为从预设矩阵中按照优先级顺序选取所述多个MU-MIMO UE；
    第二选取模块，设置为按照预设条件从所述多个MU-MIMO UE选取所述部分或全部MU-MIMO UE。
  9. 根据权利要求7所述的装置，其中，所述处理模块还包括：
    确定单元，设置为按照所述部分或全部MU-MIMO UE中小于优先级比特速率PBR或保证比特速率GBR的逻辑信道、配对组、大于GBR且小于最大比特速率MBR的逻辑信道、大于PBR的非保证比特速率NGBR逻辑信道的顺序依次进行优先级排序，确定所述调度优先级。
  10. 根据权利要求6至9中任一项所述的装置，其中，所述信息集合包括以下至少之一：参考信号信息、信道质量信息、逻辑信道优先级信息、服务质量QoS要求信息。
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