WO2019232690A1 - Configuration de ressources pour mesure d'interférences inter-liaisons - Google Patents

Configuration de ressources pour mesure d'interférences inter-liaisons Download PDF

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Publication number
WO2019232690A1
WO2019232690A1 PCT/CN2018/089903 CN2018089903W WO2019232690A1 WO 2019232690 A1 WO2019232690 A1 WO 2019232690A1 CN 2018089903 W CN2018089903 W CN 2018089903W WO 2019232690 A1 WO2019232690 A1 WO 2019232690A1
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Prior art keywords
cell
cells
group
terminal devices
cell groups
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PCT/CN2018/089903
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English (en)
Inventor
Xinghua Shi
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Nokia Shanghai Bell Co., Ltd.
Nokia Solutions And Networks Oy
Nokia Technologies Oy
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Application filed by Nokia Shanghai Bell Co., Ltd., Nokia Solutions And Networks Oy, Nokia Technologies Oy filed Critical Nokia Shanghai Bell Co., Ltd.
Priority to PCT/CN2018/089903 priority Critical patent/WO2019232690A1/fr
Priority to CN201880094325.7A priority patent/CN112237039B/zh
Publication of WO2019232690A1 publication Critical patent/WO2019232690A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
    • H04W72/541—Allocation or scheduling criteria for wireless resources based on quality criteria using the level of interference

Definitions

  • Embodiments of the present disclosure generally relate to the field of telecommunications, and in particular, to a device, method and computer readable medium for resource configuration for cross-link interference measurement.
  • 5G networks such as 3GPP New Radio (NR) support dynamic time division duplex (TDD) deployment.
  • TDD time division duplex
  • the cross-link interference between terminal devices in different cells shall be measured and reported to their respective serving network device.
  • the following aspects should be considered: all victim DL users can obtain the interference profile; and complicated measurement proposals whose performance benefit could not cover the measurement cost should be avoided.
  • example embodiments of the present disclosure provide a device, method and computer readable medium for resource configuration for cross-link interference measurement.
  • a method at a network device comprises dividing, at a network device, based on a list of neighboring cell information, a plurality of cells in a cell cluster into N cell groups, wherein N is an integer greater than two and wherein cells in a same cell group are not physically adjacent to one another.
  • the method also comprises dividing, at the network device, measurement resources in a cross-link interference measurement period into N measurement resource subsets, wherein different measurement resource subsets are associated with different cell groups respectively.
  • the method further comprises providing terminal devices in each of the N cell groups with information of a respective one of the N cell groups, wherein based on the respective one of the N cell groups, a corresponding measurement resource subset may be determined.
  • dividing the plurality of cells comprises: dividing the plurality of cells based on a graph coloring algorithm.
  • N is independent from at least one of the following: the number of the cells in the cell cluster, and the number of terminal devices in the cell cluster.
  • providing the terminal devices with the information comprises: providing the terminal devices with an identifier of the respective one of the groups.
  • a method at a terminal device comprises receiving, at a first terminal device in a first group among N cell groups, information of the first group from a network device, wherein N is an integer greater than two, cells in the first group are not physically adjacent to one another, and different measurement resource subsets in a cross-link interference measurement period are associated with different cell groups respectively.
  • the method also comprises determining a first subset of measurement resources based on the information, the first subset being reused by terminal devices in the first group.
  • the method further comprises measuring cross-link interference from terminal devices in other groups among the N cell groups than the first group by using the first subset of measurement resources.
  • the information of the first group includes an identifier of the first group.
  • a plurality of cells in a cell cluster are divided into the N cell groups based on a graph coloring algorithm.
  • N is independent from at least one of the following: the number of the cells in the cell cluster, and the number of terminal devices in the cell cluster.
  • a computer readable medium that stores a computer program thereon.
  • the computer program when executed by a processor, causes the processor to carry out the method according to the first aspect.
  • a computer readable medium that stores a computer program thereon.
  • the computer program when executed by a processor, causes the processor to carry out the method according to the second aspect.
  • Fig. 1 shows an example communication network in which embodiments of the present disclosure can be implemented
  • Fig. 2 shows a flowchart of a method in accordance with some embodiments of the present disclosure
  • Fig. 3 shows an example of grouping of cells in accordance with some embodiments of the present disclosure
  • Fig. 4 shows an example of resource configuration in accordance with some embodiments of the present disclosure
  • Fig. 5 shows a flowchart of a method in accordance with other embodiments of the present disclosure.
  • Fig. 6 shows a block diagram of a device suitable for implementing embodiments of the present disclosure.
  • the term “communication network” refers to a network that follows any suitable communication standards or protocols such as long term evolution (LTE) , LTE-Advanced (LTE-A) and 5G NR, and employs any suitable communication technologies, including, for example, Multiple-Input Multiple-Output (MIMO) , OFDM, time division multiplexing (TDM) , frequency division multiplexing (FDM) , code division multiplexing (CDM) , Bluetooth, ZigBee, machine type communication (MTC) , eMBB, mMTC and uRLLC technologies.
  • LTE network, the LTE-A network, the 5G NR network or any combination thereof is taken as an example of the communication network.
  • the term “network device” refers to any suitable device at a network side of a communication network.
  • the network device may include any suitable device in an access network of the communication network, for example, including a base station (BS) , a relay, an access point (AP) , a node B (NodeB or NB) , an evolved NodeB (eNodeB or eNB) , a gigabit NodeB (gNB) , a Remote Radio Module (RRU) , a radio header (RH) , a remote radio head (RRH) , a low power node such as a femto, a pico, and the like.
  • the eNB is taken as an example of the network device.
  • the network device may also include any suitable device in a core network, for example, including multi-standard radio (MSR) radio equipment such as MSR BSs, network controllers such as radio network controllers (RNCs) or base station controllers (BSCs) , Multi-cell/multicast Coordination Entities (MCEs) , Mobile Switching Centers (MSCs) and MMEs, Operation and Management (O&M) nodes, Operation Support System (OSS) nodes, Self-Organization Network (SON) nodes, positioning nodes, such as Enhanced Serving Mobile Location Centers (E-SMLCs) , and/or Mobile Data Terminals (MDTs) .
  • MSR multi-standard radio
  • RNCs radio network controllers
  • BSCs base station controllers
  • MCEs Multi-cell/multicast Coordination Entities
  • MSCs Mobile Switching Centers
  • OFM Operation and Management
  • OSS Operation Support System
  • SON Self-Organization Network
  • positioning nodes such as Enhanced Serving Mobile Location Centers
  • the terim “terminal device” refers to a device capable of, configured for, arranged for, and/or operable for communications with a network device or a further terminal device in a communication network.
  • the communications may involve transmitting and/or receiving wireless signals using electromagnetic signals, radio waves, infrared signals, and/or other types of signals suitable for conveying information over air.
  • the terminal device may be configured to transmit and/or receive information without direct human interaction. For example, the terminal device may transmit information to the network device on predetermined schedules, when triggered by an internal or external event, or in response to requests from the network side.
  • terminal device examples include, but are not limited to, user equipment (UE) such as smart phones, wireless-enabled tablet computers, laptop-embedded equipment (LEE) , laptop-mounted equipment (LME) , and/or wireless customer-premises equipment (CPE) .
  • UE user equipment
  • LME laptop-embedded equipment
  • CPE wireless customer-premises equipment
  • the term “cell” refers to an area covered by radio signals transmitted by a network device.
  • the terminal device within the cell may be served by the network device and access the communication network via the network device.
  • circuitry may refer to one or more or all of the following:
  • combinations of hardware circuits and software such as (as applicable) : (i) a combination of analog and/or digital hardware circuit (s) with software/firmware and (ii) any portions of hardware processor (s) with software (including digital signal processor (s) ) , software, and memory (ies) that work together to cause an apparatus, such as a mobile phone or server, to perform various functions) and
  • circuitry also covers an implementation of merely a hardware circuit or processor (or multiple processors) or portion of a hardware circuit or processor and its (or their) accompanying software and/or firmware.
  • circuitry also covers, for example and if applicable to the particular claim element, a baseband integrated circuit or processor integrated circuit for a mobile device or a similar integrated circuit in server, a cellular network device, or other computing or network device.
  • values, procedures, or apparatus are referred to as “best, ” “lowest, ” “highest, ” “minimum, ” “maximum, ” or the like. It will be appreciated that such descriptions are intended to indicate that a selection among many used functional alternatives can be made, and such selections need not be better, smaller, higher, or otherwise preferable to other selections.
  • Fig. 1 shows an example communication network 100 in which embodiments of the present disclosure can be implemented.
  • the communication network 100 includes a network device 120a, a network device 120b and a network device 120c.
  • the network device 120a serves a terminal device 130a located within a cell 110a
  • a neighboring network device 120b serves a terminal device 130b located within a cell 110b.
  • the network device 120c may communicate with the network device 120a and the network device 120b via any appropriate interface, for example, an X2/Xn interface.
  • the network device 120c may coordinate with the network device 120a and the network device 120b so as to serve terminal devices in the cells 110a and 110b.
  • the cells 110a and 110b may form a cell cluster.
  • the network device 120a and the network device 120b may be the same type of network devices.
  • the network device 120c may be of a different type from the network device 120a and the network device 120b.
  • the communication network 100 may be implemented by a heterogeneous network.
  • the network device 120c may be implemented as a macro node and each of the network device 120a and the network device 120b may be implemented as low power nodes.
  • the communication network 100 may be configured with dynamic TDD deployment.
  • the UL-DL configuration may be changed depending on traffic demands on a cell-by-cell basis.
  • the two neighboring network devices may use different resource allocations for UL and DL, which may result in UL-to-DL interference.
  • the UL-to-DL interference referred to herein as cross-link interference, occurs when one terminal device (referred to as an aggressor terminal device) is transmitting to a network device in UL, while another terminal device (referred to as a victim terminal device) is receiving transmissions from another network device in DL.
  • the different resource allocations result in interference between the terminal devices, as illustrated in Fig. 1.
  • the aggressor terminal device 130b transmits a signal 140b in UL to the network device 120b in the cell 110b.
  • the terminal device 130a in the neighboring cell 110a receives a signal 140a in the DL from the network device 120a.
  • the victim terminal device 130a receives the signal 140a from the network device 120a in the serving cell 110a, the victim terminal device 130a will also receive the interfering signal 140b from the aggressor terminal device 130b.
  • RSSI received signal strength indicator
  • OFDM orthogonal frequency division multiplexing
  • a scheme to measure the total cross-link interference power for the terminal devices in one cell is causing all the UL users in other cells to transmit UL data at the configured set of measurement resource elements.
  • the sleep duration is assigned at the set of resource elements for the terminal devices in the one cell.
  • the drawback of this scheme is that in order to measure the total cross-link interference power for the terminal devices in the one cell, at least M (M is the number of cells in the communication network) subsets of resource elements is required, which means too long measurement period or too much waste of resource for cross-link interference measurement.
  • a solution for resource configuration for cross-link interference measurement a plurality of cells in a cell cluster are divided into N cell groups, wherein N is an integer greater than two and wherein cells in a same cell group are not physically adjacent to one another.
  • Measurement resources in a cross-link interference measurement period are also divided into N measurement resource subsets. Different measurement resource subsets are associated with different cell groups respectively. Thereby, measurement resources may be reused in the same cell group. All the DL users could obtain the total inter-cell cross-link interference powers from all the adjacent cells, while the cross-link interference powers from nonadjacent cells may be ignored.
  • Fig. 2 shows a flowchart of an example method 200 in accordance with some embodiments of the present disclosure.
  • the method 200 will be described with reference to Fig. 1.
  • the method 200 may be performed by the network device 120c.
  • the method 200 may be performed by any of the network devices 120a and 120b.
  • the method 200 performed by the network device 120c will be described.
  • the network device 120c divides, based on a list of neighboring cell information, a plurality of cells in a cell cluster into N cell groups, wherein N is an integer greater than two and wherein cells in a same cell group are not physically adjacent to one another.
  • the list of neighboring cell information may record the basic parameters of the neighboring cells, such as the base station identity code (BSIC) of base stations of the cells, the broadcast control channel (BCCH) frequency, and several other parameters.
  • BSIC base station identity code
  • BCCH broadcast control channel
  • the network device 120c may determine whether a plurality of cells are adjacent to one another and divide cell that are not physically adjacent to one another into a cell group.
  • the operation of dividing the plurality of cells in the cell cluster into the N cell groups may be modeled as a typical coloring problem.
  • the network device 120c may divide the cells into the N cell groups by differently coloring neighboring cells (i.e., adjacent cells) based on any appropriate graph coloring algorithm.
  • graph coloring algorithms may include, but not limited to first non-trivial algorithm and dynamic program algorithm. In this way, the cells in a same cell group are not physically adjacent to each other.
  • Fig. 3 shows an example of grouping of cells in a cell cluster 300 in accordance with some embodiments of the present disclosure.
  • the network device 120c divides the twenty-one cells in the cell cluster 300 into three cell groups by differently coloring neighboring cells.
  • a first group among the three groups includes cells 301, 304, 307, 310, 313, 316 and 319, which are denoted by dotted areas.
  • a second group among the three groups includes cells 302, 305, 308, 311, 314, 317 and 320, which are denoted by blank areas.
  • a third group among the three groups includes cells 303, 306, 309, 312, 315, 318 and 321, which are denoted by crosshatched areas.
  • the cells in any of the three groups are not adjacent to each other.
  • the minimal distance of terminal devices in the same cell group is larger than 1/3 inter-site distance (ISD) , which means the UL terminal devices in the nonadjacent cells are not close to the victim DL terminal devices.
  • ISD inter-site distance
  • the number of the cell groups may be pre-determined based on the number of cells in a cell cluster and coverage of each of the cells.
  • the implementations of the present disclosure may also be adapted to cell groups of other numbers. For example, in case where the number of cells in a cell cluster is greater than twenty-one or the coverage of cells is differently deployed, the cells in the cell cluster may be divided into more than three cell groups, such as four, five or six cell groups.
  • the network device 120c divides measurement resources in a cross-link interference measurement period into N measurement resource subsets, wherein different measurement resource subsets are associated with different cell groups respectively.
  • the network device 120c divides the measurement resources into three measurement resource subsets. Each of the threes subsets is associated with one of the first, second and third cell groups.
  • Fig. 4 shows an example of resource configuration 400 in accordance with some embodiments of the present disclosure.
  • measurement resources 420 are configured in a cross-link interference measurement period 410.
  • the network device 120c divides the measurement resources 420 into a first measurement resource subset 421, a second measurement resource subset 422 and a third measurement resource subset 423.
  • the first measurement resource subset 421 is associated with the first cell group
  • the second measurement resource subset 422 is associated with the second cell group
  • the third measurement resource subset 423 is associated with the third cell group.
  • the cross-link interference measurement period 410 may be any appropriate length of duration, such as 100ms.
  • Each of the measurement resource subsets may occupy, for example, 1ms. As such, only a small portion of the cross-link interference measurement period 410 is used for cross-link interference measurements, thereby reducing the measurement cost.
  • the measurement resources 420 are configured at the start of the cross-link interference measurement period 410 for the purpose of illustration.
  • the measurement resources 420 may be configured at any appropriate portion of the cross-link interference measurement period 410.
  • the measurement resources 420 may be configured in the middle of the cross-link interference measurement period 410.
  • the resource configuration 400 is described with time resources by way of example. In practice, the resource configuration 400 may include time and frequency resources.
  • the network device 120c provides terminal devices in each of the N cell groups with information of a respective one of the N cell groups, wherein based on the respective one of the N cell groups, a corresponding measurement resource subset may be determined. For example, in case where the terminal devices 130a and 130b in Fig. 1 are in the first cell group and the second cell group respectively, the network device 120c may provide the information to the terminal devices 130a and 130b via the network devices 120a and 120b, respectively. Alternatively, the network device 120c may directly provide the information to the terminal devices 130a and 130b.
  • providing the terminal devices with the information comprises providing the terminal devices with an identifier of the respective one of the groups.
  • the measurement resources for cross-link interference measurement may be reused in the same cell group. All the DL users could obtain the total inter-cell cross-link interference power from all the adjacent cells, while the inter-cell cross-link interference powers from part of nonadjacent cells may be ignored.
  • the UL users in the nonadjacent cells are not close to the victim terminal devices, which means the cross-link interference from them is not dominant. Thus, ignoring the inter-cell cross-link interference powers from nonadjacent cells will not lead the loss of measurement accuracy.
  • the number of cell groups is limited regardless of the number of cells in the cell cluster and the number of terminal devices in the cell cluster. This means that the measurement resource subsets which only occupy a small portion of the cross-link interference measurement period will be used. This leads reduction of measurement cost.
  • Fig. 5 shows a flowchart of a method 500 in accordance with other embodiments of the present disclosure.
  • the method 500 will be described with reference to Fig. 1.
  • the method 500 may be performed by any of the terminal devices 130a and 130b. As an example, the method 500 performed by the terminal device 130a will be described.
  • the terminal device 130a receives information of the first group from a network device, wherein N is an integer greater than two, cells in the first group are not physically adjacent to one another, and different measurement resource subsets in a cross-link interference measurement period are associated with different cell groups respectively.
  • the terminal device 130a determines a first subset of measurement resources based on the information.
  • the first subset is reused by terminal devices in the first group.
  • the terminal device 130a measures cross-link interference from terminal devices in other groups among the N cell groups than the first group by using the first subset of measurement resources. It may be understood that cells in the other groups of the N cell groups than the first group are adjacent to the cell in which the first terminal device is located. As such, the first terminal device may obtain the total inter-cell cross-link interference powers from all the adjacent cells, while the cross-link interference powers from nonadjacent cells (i.e., the cells in the first group) are ignored.
  • the information of the first group includes an identifier of the first group.
  • a plurality of cells in a cell cluster are divided into the N cell groups based on a graph coloring algorithm.
  • N is independent from at least one of the following: the number of the cells in the cell cluster, and the number of terminal devices in the cell cluster.
  • all the terminal devices in the first cell group i.e., the cells 301, 304, 307, 310, 313, 316 and 319) stop transmitting any signal
  • the UL terminal devices in the second and third cell groups i.e., the cells 302, 305, 308, 311, 314, 317, 320, 303, 306, 309, 312, 315, 318 and 321 actually transmit UL data.
  • the terminal devices in the cells 301, 304, 307, 310, 313, 316 and 319 could receive the total inter-cell interference powers from the fourteen cells, that is, cells 302, 305, 308, 311, 314, 317, 320, 303, 306, 309, 312, 315, 318 and 321, including all the adjacent cells.
  • the terminal devices in the second cell group and in the third cell group stop transmitting any signal and receive the total inter-cell interference powers from the other fourteen cells, respectively. In this way, all the terminal devices may obtain the total inter-cell cross-link interference powers from all the adjacent cells, while the cross-link interference powers from nonadjacent cells are ignored.
  • the measurement procedure may be periodically repeated.
  • all the DL terminal devices are guaranteed obtain the approximate total inter-cell cross-link interference powers from RSSI-based measurement with the constant measurement resource cost regardless of the number of cells and the number of terminal devices in the cluster.
  • an apparatus capable of performing the method 200 may comprise means for performing the respective steps of the method 200.
  • the means may be implemented in any suitable form.
  • the means may be implemented in a circuitry or software module.
  • the apparatus comprises: means for dividing, at a network device, based on a list of neighboring cell information, a plurality of cells in a cell cluster into N cell groups, wherein N is an integer greater than two and wherein cells in a same cell group are not physically adjacent to one another; means for dividing, at the network device, measurement resources in a cross-link interference measurement period into N measurement resource subsets, wherein different measurement resource subsets are associated with different cell groups respectively; and means for providing terminal devices in each of the N cell groups with information of a respective one of the N cell groups, wherein based on the respective one of the N cell groups, a corresponding measurement resource subset may be determined.
  • dividing the plurality of cells comprises: dividing the plurality of cells based on a graph coloring algorithm.
  • N is independent from at least one of the following: the number of the cells in the cell cluster, and the number of terminal devices in the cell cluster.
  • providing the terminal devices with the information comprises: providing the terminal devices with an identifier of the respective one of the groups.
  • an apparatus capable of performing the method 500 may comprise means for performing the respective steps of the method 500.
  • the means may be implemented in any suitable form.
  • the means may be implemented in a circuitry or software module.
  • the apparatus comprises: means for receiving, at a first terminal device in a first group among N cell groups, information of the first group from a network device, wherein N is an integer greater than two, cells in the first group are not physically adjacent to one another, and different measurement resource subsets in a cross-link interference measurement period are associated with different cell groups respectively; means for determining a first subset of measurement resources based on the information, the first subset being reused by terminal devices in the first group; means for measuring cross-link interference from terminal devices in other groups among the N cell groups than the first group by using the first subset of measurement resources.
  • the information of the first group includes an identifier of the first group.
  • a plurality of cells in a cell cluster are divided into the N cell groups based on a graph coloring algorithm.
  • N is independent from at least one of the following: the number of the cells in the cell cluster, and the number of terminal devices in the cell cluster.
  • N is in a range of three to six.
  • Fig. 6 is a simplified block diagram of a device 600 that is suitable for implementing embodiments of the present disclosure.
  • the device 600 can be implemented at or as at least a part of a network device.
  • the device 600 can also be implemented at or as at least a part of a terminal device.
  • the device 600 includes a processor 610, a memory 620 coupled to the processor 610, a suitable transmitter (TX) and receiver (RX) 640 coupled to the processor 610, and a communication interface coupled to the TX/RX 640.
  • the memory 620 stores at least a part of a program 630.
  • the TX/RX 640 is for bidirectional communications.
  • the TX/RX 640 has at least one antenna to facilitate communication, though in practice an Access Node mentioned in this application may have several ones.
  • the communication interface may represent any interface that is necessary for communication with other network elements, such as X2/Xn interface for bidirectional communications between eNBs, S1 interface for communication between a Mobility Management Entity (MME) /Serving Gateway (S-GW) and the eNB, Un interface for communication between the eNB and a relay node (RN) , or Uu interface for communication between the eNB and a terminal device.
  • MME Mobility Management Entity
  • S-GW Serving Gateway
  • Un interface for communication between the eNB and a relay node (RN)
  • Uu interface for communication between the eNB and a terminal device.
  • the program 630 is assumed to include program instructions that, when executed by the associated processor 610, enable the device 600 to operate in accordance with the embodiments of the present disclosure, as discussed herein with reference to Figs. 1 to 6.
  • the embodiments herein may be implemented by computer software executable by the processor 610 of the device 600, or by hardware, or by a combination of software and hardware.
  • the processor 610 may be configured to implement various embodiments of the present disclosure.
  • a combination of the processor 610 and memory 620 may form processing means 650 adapted to implement various embodiments of the present disclosure.
  • the memory 620 may be of any type suitable to the local technical network and may be implemented using any suitable data storage technology, such as a non-transitory computer readable storage medium, semiconductor based memory devices, magnetic memory devices and systems, optical memory devices and systems, fixed memory and removable memory, as non-limiting examples. While only one memory 620 is shown in the device 600, there may be several physically distinct memory modules in the device 600.
  • the processor 610 may be of any type suitable to the local technical network, and may include one or more of general purpose computers, special purpose computers, microprocessors, digital signal processors (DSPs) and processors based on multicore processor architecture, as non-limiting examples.
  • the device 600 may have multiple processors, such as an application specific integrated circuit chip that is slaved in time to a clock which synchronizes the main processor.
  • various example embodiments of the present disclosure may be implemented in hardware, special purpose circuits, software, logic or any combinations thereof. Some aspects may be implemented in hardware while other aspects may be implemented in firmware or software executed by controllers, microprocessors or other computing devices. While various aspects of embodiments of the present disclosure are illustrated and described as block diagrams, flowcharts, or using some other pictorial representations, it is to be understood that the block, apparatus, system, technique or method described herein may be implemented in, as non-limiting examples, hardware, software, firmware, special purpose circuits or logic, general purpose hardware or controller or other computing devices, or some combination thereof.
  • the present disclosure also provides at least one computer program product tangibly stored on a non-transitory computer readable storage medium.
  • the computer program product includes computer-executable instructions, such as those included in program modules, being executed in a device on a target real or virtual processor, to carry out the methods 200 and 500.
  • program modules include routines, programs, libraries, objects, classes, components, data structures, or the like that perform particular tasks or implement particular abstract data types.
  • the functionality of the program modules may be combined or split between program modules as desired in various embodiments.
  • Machine-executable instructions for program modules may be executed within a local or distributed device. In a distributed device, program modules may be located in both local and remote storage media.
  • Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowcharts and/or block diagrams to be implemented.
  • the program code may execute entirely on a machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
  • the computer program codes or related data may be carried by any suitable carrier to enable the device, apparatus or processor to perform various processes and operations as described above.
  • Examples of the carrier include a signal, computer readable media.
  • the computer readable medium may be a computer readable signal medium or a computer readable storage medium.
  • a computer readable medium may include but not limited to an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of the computer readable storage medium would include an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM) , a read-only memory (ROM) , an erasable programmable read-only memory (EPROM or Flash memory) , an optical fiber, a portable compact disc read-only memory (CD-ROM) , an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

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Abstract

Selon des modes de réalisation, la présente invention concerne un procédé, un dispositif et un support lisible par ordinateur pour une configuration de ressources pour une mesure d'interférences inter-liaisons. Dans des modes de réalisation donnés à titre d'exemple, le procédé consiste à diviser, au niveau d'un dispositif de réseau, sur la base d'une liste d'informations de cellules voisines, une pluralité de cellules dans un groupe de cellules en N groupes de cellules, N étant un nombre entier supérieur à deux et des cellules dans un même groupe de cellules n'étant pas physiquement adjacentes les unes aux autres. Le procédé consiste également à diviser, au niveau du dispositif de réseau, des ressources de mesure dans une période de mesure d'interférences inter-liaisons en N sous-ensembles de ressources de mesure, différents sous-ensembles de ressources de mesure étant respectivement associés à différents groupes de cellules. Le procédé consiste en outre à fournir à des dispositifs terminaux dans chacun des N groupes de cellules des informations d'un groupe respectif des N groupes de cellules, un sous-ensemble de ressources de mesure correspondant pouvant être déterminé sur la base du groupe respectif parmi les N groupes de cellules.
PCT/CN2018/089903 2018-06-05 2018-06-05 Configuration de ressources pour mesure d'interférences inter-liaisons WO2019232690A1 (fr)

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