CN112237039A - Resource allocation for cross-link interference measurement - Google Patents
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Abstract
Embodiments of the present disclosure relate to a method, apparatus, and computer-readable medium for resource configuration for cross-link interference measurement. In an example embodiment, the method includes dividing, at the network device, a plurality of cells in a cell cluster into N groups of cells based on a neighbor cell information list, where N is an integer greater than 2, and where cells in the same group of cells are not physically adjacent to each other. The method also includes 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 respectively associated with different cell groups. The method further comprises providing information of a respective one of the N cell groups to a terminal device in each of the N cell groups, wherein the corresponding subset of measurement resources can be determined based on the respective one of the N cell groups.
Description
Technical Field
Embodiments of the present disclosure relate generally to the field of telecommunications, and in particular, to an apparatus, method, and computer-readable medium for resource configuration for cross-link interference measurement.
Background
Fifth generation (5G) networks, such as 3GPP New Radio (NR), support dynamic Time Division Duplex (TDD) deployments. To enable coordinated scheduling for dynamic TDD deployment, cross-link interference between terminal devices in different cells should be measured and reported to their respective serving network devices. In order to design low complexity cross-link interference measurement indicators and schemes, the following should be considered: all victim DL users can acquire an interference profile; and complex measurement recommendations that cannot cover the measurement costs using performance advantages should be avoided.
Disclosure of Invention
In general, example embodiments of the present disclosure provide an apparatus, method, and computer-readable medium for resource configuration for cross-link interference measurement.
In a first aspect, a method at a network device is provided. The method includes dividing, at a network device, a plurality of cells in a cell cluster into N groups of cells based on a neighbor cell information list, where N is an integer greater than 2, and where cells in the same group of cells are not physically adjacent to each other. The method also includes 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 respectively associated with different cell groups. The method further comprises providing information of a respective one of the N cell groups to a terminal device in each of the N cell groups, wherein the corresponding subset of measurement resources can be determined based on the respective one of the N cell groups.
In some embodiments, dividing the plurality of cells comprises: the plurality of cells are partitioned based on a graph coloring algorithm.
In some embodiments, N is independent of at least one of: the number of cells in a cell cluster, and the number of terminal devices in a cell cluster.
In some embodiments, N is in the range of 3 to 6.
In some embodiments, providing information to the terminal device comprises: the terminal device is provided with an identifier of a respective one of the groups.
In a second aspect, a method at a terminal device is provided. The method comprises the following steps: information for a first group of N cell groups is received from the network device at a first terminal device in the first group, where N is an integer greater than 2, the cells in the first group are not physically adjacent to each other, and different subsets of measurement resources in a cross-link interference measurement period are respectively associated with different cell groups. The method also includes determining a first subset of measurement resources based on the information, the first subset being multiplexed by terminal devices in the first group. The method further comprises measuring cross-link interference from terminal devices in groups of the N groups of cells other than the first group by using the first subset of measurement resources.
In some embodiments, the information of the first group comprises an identifier of the first group.
In some embodiments, a plurality of cells in a cell cluster are divided into N cell groups based on a graph coloring algorithm.
In some embodiments, N is independent of at least one of: the number of cells in a cell cluster, and the number of terminal devices in a cell cluster.
In some embodiments, N is in the range of 3 to 6.
In a third aspect, a computer readable medium having a computer program stored thereon is provided. The computer program, when executed by a processor, causes the processor to perform the method according to the first aspect.
In a fourth aspect, a computer readable medium having a computer program stored thereon is provided. The computer program, when executed by a processor, causes the processor to perform the method according to the second aspect.
It should be understood that this summary is not intended to identify key or essential features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become readily apparent from the following description.
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The above and other objects, features and advantages of the present disclosure will become more apparent from the following more detailed description of some embodiments of the present disclosure in which:
FIG. 1 illustrates an example communication network in which embodiments of the present disclosure may be implemented;
FIG. 2 illustrates a flow diagram of a method according to some embodiments of the present disclosure;
fig. 3 illustrates an example of a grouping of cells in accordance with some embodiments of the present disclosure;
FIG. 4 illustrates an example of a resource configuration according to some embodiments of the present disclosure;
FIG. 5 shows a flow diagram of a method according to other embodiments of the present disclosure; and
fig. 6 shows a simplified block diagram of a device suitable for implementing embodiments of the present disclosure.
Throughout the drawings, the same or similar reference numbers refer to the same or similar elements.
Detailed Description
The principles of the present disclosure will now be described with reference to a few exemplary embodiments. It is understood that these embodiments are described for illustrative purposes only and are presented to aid those skilled in the art in understanding and enabling the disclosure, without placing any limitation on the scope of the disclosure. The disclosure described herein may be implemented in a variety of other ways besides those described below.
In the following description and claims, unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
As used herein, the term "communication network" refers to a network that conforms to any suitable communication standard or protocol, such as Long Term Evolution (LTE), LTE-advanced (LTE-a), and 5G NR, and employs any suitable communication technology, 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, MTC, and urrllc technologies. For purposes of discussion, in some embodiments, an LTE network, an LTE-a network, a 5G NR network, or any combination thereof are examples of communication networks.
As used herein, the term "network device" refers to any suitable device on the network side of a communication network. The network device may comprise any suitable device in an access network of a communication network, including, for example, 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 femto, pico, etc.). For discussion purposes, in some embodiments, an eNB is taken as an example of a network device.
The network devices may also include any suitable devices in the core network, including, for example, multi-standard radio (MSR) radios 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, operations and management (O & M) nodes, Operations Support Systems (OSS) nodes, self-organizing network (SON) nodes, location nodes such as enhanced serving mobile location centers (E-SMLCs), and/or Mobile Data Terminals (MDTs).
As used herein, the term "terminal device" refers to a device that is capable, configured, arranged and/or operable to communicate with a network device or another terminal device in a communication network. Communication may involve the transmission and/or reception of wireless signals using electromagnetic signals, radio waves, infrared signals, and/or other types of signals suitable for the transmission of information over the air. In some embodiments, 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 a predetermined schedule, upon triggering by an internal or external event, or in response to a request from the network side.
Examples of end devices include, but are not limited to, User Equipment (UE), such as a smart phone, a wireless enabled tablet computer, a laptop embedded device (LEE), a laptop installed device (LME), and/or a wireless Customer Premises Equipment (CPE). For purposes of discussion, some embodiments will be described below with reference to a UE as an example of a terminal device, and the terms "terminal device" and "user equipment" (UE) may be used interchangeably within the context of the present disclosure.
As used herein, the term "cell" refers to an area covered by radio signals transmitted by a network device. Terminal devices within a cell may be served by a network device and may access a communication network via the network device.
As used herein, the term "circuitry" may refer to one or more or all of the following:
(a) a purely hardware circuit implementation (such as an implementation in analog and/or digital circuitry only), and
(b) a combination of hardware circuitry and software, such as (as applicable): (i) a combination of analog and/or digital hardware circuitry and software/firmware, and (ii) a hardware processor with software (including a digital signal processor), any portion of software and memory that work together to cause a device such as a mobile phone or server to perform various functions, and (ii) a computer program product
(c) Hardware circuitry and/or a processor, such as a microprocessor or a portion of a microprocessor, that requires software (e.g., firmware) to operate but may not be present when operation is not required.
This definition of "circuitry" applies to all uses of the term in this application, including in any claims. As a further example, as used in this application, the term "circuitry" also encompasses only a portion of an implementation of a hardware circuit or processor (or multiple processors) or a hardware circuit or processor and its (or their) accompanying software and/or firmware. The term "circuitry" also covers (e.g., and where applicable to the particular claim element (s)) a baseband integrated circuit or processor integrated circuit for a mobile device, or a similar integrated circuit in a server, a cellular network device, or other computing or network device.
As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The term "comprising" and its variants are to be understood as open-ended terms meaning "including but not limited to". The term "based on" should be understood as "based at least in part on". The terms "one embodiment" and "an embodiment" should be understood as "at least one embodiment". The term "another embodiment" should be understood as "at least one other embodiment". The terms "first," "second," and the like may refer to different or the same object. Other definitions (explicit and implicit) may be included below.
In some examples, a value, process, or device is referred to as "best," "lowest," "highest," "minimum," "maximum," or the like. It should be understood that such description is intended to indicate that a selection may be made among many functional alternatives used, and that such a selection need not be better, smaller, higher, or otherwise more preferred than other selections.
Fig. 1 illustrates an example communication network 100 in which embodiments of the present disclosure may be implemented. Communication network 100 includes network device 120a, network device 120b, and network device 120 c. Network device 120a serves terminal device 130a located within cell 110a, and neighboring network device 120b serves terminal device 130b located within cell 110 b.
Network device 120c may communicate with network device 120a and network device 120b via any suitable interface (e.g., an X2/Xn interface). Network device 120c may coordinate with network device 120a and network device 120b to serve terminal devices in cells 110a and 110 b. In this regard, the cells 110a and 110b may form a cell cluster.
Network device 120a and network device 120b may be the same type of network device. Network device 120c may be a different type of network device than network device 120a and network device 120 b. In some embodiments, communication network 100 may be implemented by a heterogeneous network. In such embodiments, network device 120c may be implemented as a macro node, and each of network device 120a and network device 120b may be implemented as a low power node.
It should be noted that the number of network devices, terminal devices and cells used herein are described for illustrative purposes only and to assist those skilled in the art in understanding the concepts and principles of the present disclosure without posing any limitation as to the scope of the present disclosure. The present disclosure may be implemented using an appropriate number of network devices, terminal devices, and cells other than those described below.
To enable coordinated scheduling for dynamic TDD deployment, cross-link interference between terminal devices in different cells should be measured and reported to their respective serving network devices. Currently, a Received Signal Strength Indicator (RSSI) based cross-link interference measurement method is proposed. RSSI is defined as the linear average of the total received power (also referred to as total cross-link interference power) observed in only certain Orthogonal Frequency Division Multiplexing (OFDM) symbols of a measurement time resource within a measurement bandwidth over resource elements configured for measurement by a terminal device. The total received power may provide an interference curve for the victim terminal device.
One approach for measuring the total cross-link interference power of terminal devices in one cell is to have all UL users in other cells transmit UL data at the configured set of measurement resource elements. Sleep durations are allocated at a set of resource elements of a terminal device in one cell. A disadvantage of this scheme is that at least M subsets of resource elements (M being the number of cells in the communication network) are required in order to measure the total cross link interference power of the terminal devices in one cell, which means that the measurement period is too long or that resources for cross link interference measurements are wasted too much.
According to an embodiment of the present disclosure, a solution for resource configuration for cross-link interference measurement is proposed. In this solution, the cells in a cell cluster are divided into N cell groups, where N is an integer greater than 2, and where the cells in the same cell group are not physically adjacent to each other. The measurement resources in the cross-link interference measurement period are also divided into N measurement resource subsets. Different subsets of measurement resources are respectively associated with different groups of cells. Thereby, measurement resources can be multiplexed in the same cell group. All DL users can obtain the total inter-cell cross link interference power from all neighboring cells, while the cross link interference power from non-neighboring cells can be neglected.
The principles and implementations of the present disclosure will be described in detail below with reference to fig. 2, fig. 2 illustrating a flow diagram of an example method 200 according to some embodiments of the present disclosure. For discussion purposes, the method 200 will be described with reference to fig. 1. Method 200 may be performed by network device 120 c. Alternatively, method 200 may be performed by any of network devices 120a and 120 b. As an example, method 200 performed by network device 120c will be described.
At 210, the network device 120c divides the plurality of cells in the cell cluster into N cell groups based on the neighbor cell information list, where N is an integer greater than 2, and where the cells in the same cell group are not physically adjacent to each other. The neighbor cell information list may record basic parameters of the neighbor cells, such as Base Station Identification Codes (BSICs) of the base stations of the cells, Broadcast Control Channel (BCCH) frequencies, and several other parameters. Accordingly, based on the neighbor cell information list, the network device 120c may determine whether a plurality of cells are adjacent to each other and divide cells that are not physically adjacent to each other into one cell group.
In some embodiments, the operation of dividing a plurality of cells in a cell cluster into N groups of cells may be modeled as a typical coloring problem. Thus, network device 120c may divide the cell into N cell groups by differently coloring neighboring (neighbor) cells (i.e., adjacent (adjacent) cells) based on any suitable graph coloring algorithm. Examples of the graph coloring algorithm may include, but are not limited to, a first non-trivial algorithm and a dynamic program algorithm. In this way, cells in the same cell group are not physically adjacent to each other.
Fig. 3 illustrates an example of a grouping of cells in a cell cluster 300 according to some embodiments of the present disclosure. In the example shown in fig. 3, there are 21 cells in the cell cluster 300. The network device 120c divides 21 cells in the cell cluster 300 into three cell groups by coloring neighboring cells differently. For example, the first group of the three groups includes cells 301, 304, 307, 310, 313, 316, and 319 represented by the dashed areas. The second of the three groups includes cells 302, 305, 308, 311, 314, 317, and 320 represented by blank regions. The third of the three groups includes cells 303, 306, 309, 312, 315, 318, and 321 represented by the shaded regions. The cells in any of the three groups are not adjacent to each other. As shown in fig. 3, the minimum distance of terminal devices in the same cell group is greater than 1/3 for the inter-site distance (ISD), which means that UL terminal devices in non-adjacent cells are not close to the victim DL terminal device. Thus, cross-link interference power from UL terminal devices in non-neighboring cells is not dominant and can be ignored.
It should be understood that the number of cell groups may be predetermined based on the number of cells in a cell cluster and the coverage of each cell. Implementations of the present disclosure may also be adapted for other numbers of cell groups. For example, in case the number of cells in a cell cluster is larger than 21 or the coverage deployments of the cells are different, the cells in the cell cluster may be divided into more than three cell groups, such as four, five or six cell groups.
Referring again to fig. 2, at 220, network device 120c divides the measurement resources in the cross-link interference measurement period into N measurement resource subsets, where different measurement resource subsets are respectively associated with different cell groups. In the example shown in fig. 3, network device 120c divides the measurement resources into three measurement resource subsets. Each of the three subsets is associated with one of the first, second, and third cell groups.
Fig. 4 illustrates an example of a resource configuration 400 according to some embodiments of the present disclosure. In the example shown in fig. 4, measurement resources 420 are configured in the cross-link interference measurement period 410. Network device 120c divides measurement resources 420 into a first subset of measurement resources 421, a second subset of measurement resources 422, and a third subset of measurement resources 423. A first subset of measurement resources 421 is associated with the first cell group, a second subset of measurement resources 422 is associated with the second cell group, and a third subset of measurement resources 423 is associated with the third cell group. The cross-link interference measurement period 410 may be any suitable length duration, such as 100 ms. Each subset of measurement resources may occupy, for example, 1 ms. In this way, only a small portion of the cross link interference measurement period 410 is used for cross link interference measurement, thereby reducing measurement costs.
It should be appreciated that for purposes of illustration, the measurement resources 420 are configured at the beginning of the cross-link interference measurement period 410. Of course, the measurement resources 420 may be configured at any suitable portion of the cross-link interference measurement period 410. For example, the measurement resources 420 may be configured in the middle of the cross-link interference measurement period 410. It should also be understood that resource configuration 400 is described in terms of time resources, as an example. In practice, the resource configuration 400 may include time and frequency resources.
Referring again to fig. 2, at 230, network device 120c provides information to terminal devices in each of the N cell groups for a respective one of the N cell groups, wherein based on the respective one of the N cell groups, a corresponding subset of measurement resources may be determined. For example, in the case where terminal devices 130a and 130b in fig. 1 are in the first cell group and the second cell group, respectively, network device 120c may provide this information to terminal devices 130a and 130b via network devices 120a and 120b, respectively. Alternatively, network device 120c may provide this information directly to terminal devices 130a and 130 b.
In some embodiments, providing the information to the terminal device comprises providing the terminal device with an identifier of a respective group of the plurality of groups.
According to embodiments of the present disclosure, measurement resources for cross-link interference measurements may be multiplexed in the same cell group. All DL users can obtain the total inter-cell cross link interference power from all neighboring cells, while the inter-cell cross link interference power from a portion of non-neighboring cells can be ignored. UL users in non-adjacent cells are not close to the victim terminal device, which means that cross-link interference from them is not dominant. Therefore, ignoring inter-cell cross-link interference power from non-adjacent cells will not result in a reduction of measurement accuracy.
In addition, in the embodiments of the present disclosure, the number of cell groups is limited regardless of the number of cells in a cell cluster and the number of terminal apparatuses in a cell cluster. This means that a subset of measurement resources will be used that occupies only a small fraction of the cross-link interference measurement period. This reduces the measurement cost.
Fig. 5 shows a flow diagram of a method 500 according to other embodiments of the present disclosure. For discussion purposes, the method 500 will be described with reference to fig. 1. Method 500 may be performed by any of terminal devices 130a and 130 b. As an example, the method 500 performed by the terminal device 130a will be described.
At 510, a terminal device 130a, which is a first terminal device in a first group of N cell groups, where N is an integer greater than 2, receives information of the first group from a network device, the cells in the first group are not physically adjacent to each other, and different measurement resource subsets in a cross-link interference measurement period are respectively associated with different cell groups.
At 520, the terminal device 130a determines a first subset of measurement resources based on the information. The first subset is multiplexed by the terminal devices in the first group.
At 530, the terminal device 130a uses the first subset of measurement resources to measure cross-link interference from terminal devices in groups of the N cell groups other than the first group. It is to be understood that the cells in the groups of the N cell groups other than the first group are adjacent to the cell in which the first terminal device is located. In this way, the first terminal device may obtain the total inter-cell cross-link interference power from all neighbouring cells, while the cross-link interference power from non-neighbouring cells (i.e. cells in the first group) is ignored.
In some embodiments, the information of the first group comprises an identifier of the first group.
In some embodiments, a plurality of cells in a cell cluster are divided into N cell groups based on a graph coloring algorithm.
In some embodiments, N is independent of at least one of: the number of cells in a cell cluster, and the number of terminal devices in a cell cluster.
In some embodiments, N is in the range of 3 to 6.
Considering the example described with reference to fig. 3 and 4, for the first subset 421 of measurement resources, all terminal devices in the first cell group (i.e., cells 301, 304, 307, 310, 313, 316, and 319) cease transmitting any signals, while UL terminal devices in the second and third cell groups (i.e., cells 302, 305, 308, 311, 314, 317, 320, 303, 306, 309, 312, 315, 318, and 321) actually transmit UL data. Accordingly, terminal devices in cells 301, 304, 307, 310, 313, 316, and 319 can receive the total inter-cell interference power from 14 cells (i.e., cells 302, 305, 308, 311, 314, 317, 320, 303, 306, 309, 312, 315, 318, and 321), including all neighboring cells. Similarly, for the second and third subsets of measurement resources, the terminal devices in the second and third cell groups stop transmitting which signals and receive the total inter-cell interference power from the other 14 cells, respectively. In this way, all terminal devices can obtain the total inter-cell cross-link interference power from all neighboring cells, while cross-link interference power from non-neighboring cells is ignored. The measurement process may be repeated periodically.
According to embodiments of the present disclosure, it is ensured that all DL terminal devices obtain an approximate total inter-cell cross link interference power from RSSI based measurements at a constant measurement resource cost, irrespective of the number of cells and the number of terminal devices in the cluster.
It should be understood that all operations and features related to network device 120c described above with reference to fig. 2-4 are equally applicable to method 500 and have similar effects. Details will be omitted for the sake of simplicity.
In some embodiments, being able to perform the method 200 may include modules for performing the respective steps of the method 200. The module may be implemented in any suitable form. For example, the module may be implemented in circuitry or a software module.
In some embodiments, the apparatus comprises: means for dividing, at the network device, the plurality of cells in the cell cluster into N cell groups based on the neighbor cell information list, wherein N is an integer greater than 2, and wherein cells in the same cell group are not physically adjacent to each other; 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 respectively associated with different cell groups; and means for providing information of a respective one of the N cell groups to a terminal device in each of the N cell groups, wherein based on the respective one of the N cell groups, a corresponding subset of measurement resources may be determined.
In some embodiments, dividing the plurality of cells comprises: the plurality of cells are partitioned based on a graph coloring algorithm.
In some embodiments, N is independent of at least one of: the number of cells in a cell cluster, and the number of terminal devices in a cell cluster.
In some embodiments, N is in the range of 3 to 6.
In some embodiments, providing information to the terminal device comprises: the terminal device is provided with an identifier of a respective one of the groups.
In some embodiments, an apparatus capable of performing the method 500 may include means for performing the respective steps of the method 500. The component may be implemented in any suitable form. For example, the component may be implemented in circuitry or a software component.
In some embodiments, the apparatus comprises: means for receiving information of a first group from a network device at a first terminal device in the first group of N cell groups, where N is an integer greater than 2, the cells in the first group are not physically adjacent to each other, and different subsets of measurement resources in a cross-link interference measurement period are respectively associated with different cell groups; means for determining a first subset of measurement resources based on the information, the first subset being multiplexed by terminal devices in the first group; and means for measuring cross-link interference from terminal devices in groups of the N groups of cells other than the first group by using the first subset of measurement resources.
In some embodiments, the information of the first group comprises an identifier of the first group.
In some embodiments, a plurality of cells in a cell cluster are divided into N cell groups based on a graph coloring algorithm.
In some embodiments, N is independent of at least one of: the number of cells in a cell cluster, and the number of terminal devices in a cell cluster.
In some embodiments, N is in the range of 3 to 6.
Fig. 6 is a simplified block diagram of a device 600 suitable for implementing embodiments of the present disclosure. Device 600 may be implemented at or as at least a portion of a network device. Device 600 may also be implemented at or as at least a portion of a terminal device.
As shown, 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. Memory 620 stores at least a portion of program 630. TX/RX 640 is used for bi-directional communication. TX/RX 640 has at least one antenna to facilitate communication, although in practice an access node referred to in this application may have several antennas. The communication interface may represent any interface required for communication with other network elements, such as an X2/Xn interface for bidirectional communication between enbs, an S1 interface for communication between a Mobility Management Entity (MME)/serving gateway (S-GW) and an eNB, a Un interface for communication between an eNB and a Relay Node (RN), or a Uu interface for communication between an 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 embodiments of the present disclosure, as discussed herein with reference to fig. 1-6. 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. Further, the combination of the processor 610 and the memory 620 may form a processing device 650 suitable for implementing various embodiments of the present disclosure.
The memory 620 may be of any type suitable for a local technology network, and may be implemented using any suitable data storage technology, such as non-transitory computer-readable storage media, semiconductor-based memory devices, magnetic memory devices and systems, optical memory devices and systems, fixed memory and removable memory, as non-limiting examples. Although only one memory 620 is shown in device 600, there may be several physically distinct memory modules in device 600. The processor 610 may be of any type suitable to the local technology network and may include one or more of general purpose computers, special purpose computers, microprocessors, Digital Signal Processors (DSPs) and processors based on a multi-core processor architecture, as non-limiting examples. The device 600 may have multiple processors, such as application specific integrated circuit chips, that are time dependent from a clock synchronized with the main processor.
In general, the various example embodiments of this disclosure may be implemented in hardware, special purpose circuits, software, logic or any combination thereof. Some aspects may be implemented in hardware, while other aspects may be implemented in firmware or software which may be executed by a controller, microprocessor or other computing device. While various aspects of the embodiments of the disclosure are illustrated and described as block diagrams, flow charts, or using some other pictorial representation, it is well understood that the blocks, apparatus, systems, techniques or methods 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, that are executed in the device on the target real or virtual processor to perform the methods 200 and 500. Generally, program modules include routines, programs, libraries, objects, classes, components, data structures, etc. that perform particular tasks or implement particular abstract data types. In various embodiments, the functionality of the program modules may be combined or divided among the program modules as desired. Machine-executable instructions for program modules may be executed within local or distributed devices. In a distributed facility, program modules may be located in both local and remote memory storage media.
Program code for performing the 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 flowchart and/or block diagram to be performed. The program code may execute entirely on the 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.
In the context of the present disclosure, computer program code or related data may be carried by any suitable carrier to enable a device, apparatus or processor to perform various processes and operations as described above. Examples of the carrier include a signal, computer readable medium.
The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable medium may include, but is 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 a 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 reader-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.
Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In some cases, multitasking and parallel processing may be advantageous. Likewise, although the above discussion contains several specific implementation details, these should not be construed as limitations on the scope of the disclosure, but rather as descriptions of features that may be specific to particular embodiments. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the disclosure has been described in language specific to structural features and/or methodological acts, it is to be understood that the disclosure defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
Claims (20)
1. A method, comprising:
dividing, at a network device, a plurality of cells in a cell cluster into N cell groups based on a neighbor cell information list, where N is an integer greater than 2, and where cells in a same cell group are not physically adjacent to each other;
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 respectively associated with different cell groups; and
providing information of a respective one of the N cell groups to a terminal device in each of the N cell groups, wherein a corresponding subset of measurement resources can be determined based on the respective one of the N cell groups.
2. The method of claim 1, wherein dividing the plurality of cells comprises:
partitioning the plurality of cells based on a graph coloring algorithm.
3. The method of claim 1, wherein N is independent of at least one of:
the number of the cells in the cell cluster, an
The number of terminal devices in the cell cluster.
4. The method of claim 1, wherein N is in the range of 3 to 6.
5. The method of claim 1, wherein providing the information to the terminal device comprises:
providing the terminal device with an identifier of a respective one of the groups.
6. A method, comprising:
receiving, at a first terminal device in a first group of N groups of cells, where N is an integer greater than 2, information for the first group, the cells in the first group being physically non-adjacent to each other, and different subsets of measurement resources in a cross-link interference measurement period being respectively associated with different groups of cells;
determining a first subset of measurement resources based on the information, the first subset being multiplexed by terminal devices in the first group; and
measuring cross-link interference from terminal devices in groups of the N cell groups other than the first group by using the first subset of measurement resources.
7. The method of claim 6, wherein the information of the first group comprises an identifier of the first group.
8. The method of claim 6, wherein a plurality of cells in a cell cluster are divided into the N groups of cells based on a graph coloring algorithm.
9. The method of claim 6, wherein N is independent of at least one of:
the number of the cells in the cell cluster, an
The number of terminal devices in the cell cluster.
10. The method of claim 6, wherein N is in the range of 3 to 6.
11. An apparatus, comprising:
at least one processor; and
at least one memory including computer program code;
the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to perform:
dividing, at a network device, a plurality of cells in a cell cluster into N cell groups based on a neighbor cell information list, where N is an integer greater than 2, and where cells in a same cell group are not physically adjacent to each other;
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 respectively associated with different cell groups; and
providing information of a respective one of the N cell groups to a terminal device in each of the N cell groups, wherein a corresponding subset of measurement resources can be determined based on the respective one of the N cell groups.
12. The apparatus of claim 11, wherein dividing the plurality of cells comprises:
partitioning the plurality of cells based on a graph coloring algorithm.
13. The apparatus of claim 11, wherein N is independent of at least one of:
the number of the cells in the cell cluster, an
The number of terminal devices in the cell cluster.
14. The apparatus of claim 11, wherein N is in the range of 3 to 6.
15. The apparatus of claim 11, wherein providing the information to the terminal device comprises:
providing the terminal device with an identifier of a respective one of the groups.
16. An apparatus, comprising:
at least one processor; and
at least one memory including computer program code;
the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to perform:
receiving information of a first group of N cell groups from a network device at a first terminal device in the first group, where N is an integer greater than 2, cells in the first group are not physically adjacent to each other, and different subsets of measurement resources in a cross-link interference measurement period are respectively associated with different cell groups;
determining a first subset of measurement resources based on the information, the first subset being multiplexed by terminal devices in the first group; and
measuring cross-link interference from terminal devices in groups of the N cell groups other than the first group by using the first subset of measurement resources.
17. The apparatus of claim 16, wherein the information of the first group comprises an identifier of the first group.
18. The apparatus of claim 16, wherein a plurality of cells in a cell cluster are divided into the N groups of cells based on a graph coloring algorithm.
19. The apparatus of claim 16, wherein N is independent of at least one of:
the number of the cells in the cell cluster, an
The number of terminal devices in the cell cluster.
20. The apparatus of claim 16, wherein N is in the range of 3 to 6.
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| CN107872829B (en) * | 2016-09-28 | 2021-08-20 | 华为技术有限公司 | Signal transmission method and related equipment |
| CN115176491A (en) * | 2020-02-24 | 2022-10-11 | 上海诺基亚贝尔股份有限公司 | Adaptive measurement of cross-link interference |
| WO2022011647A1 (en) * | 2020-07-16 | 2022-01-20 | Qualcomm Incorporated | Interference measurement based on multiple sensing resource candidates |
| WO2023234814A1 (en) * | 2022-06-03 | 2023-12-07 | Telefonaktiebolaget Lm Ericsson (Publ) | Methods and network entities for mitigating interference in a base station system |
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| WO2019232690A1 (en) | 2019-12-12 |
| CN112237039B (en) | 2024-04-05 |
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