WO2024250139A1 - Brouillage dans un système fonctionnant en tdd - Google Patents

Brouillage dans un système fonctionnant en tdd Download PDF

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Publication number
WO2024250139A1
WO2024250139A1 PCT/CN2023/098279 CN2023098279W WO2024250139A1 WO 2024250139 A1 WO2024250139 A1 WO 2024250139A1 CN 2023098279 W CN2023098279 W CN 2023098279W WO 2024250139 A1 WO2024250139 A1 WO 2024250139A1
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WIPO (PCT)
Prior art keywords
symbol
interference
analysis
slot
network node
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PCT/CN2023/098279
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English (en)
Inventor
Hao Zhang
Mats ÅHLANDER
Mathias DALEVI
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Telefonaktiebolaget LM Ericsson AB
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Telefonaktiebolaget LM Ericsson AB
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Priority to PCT/CN2023/098279 priority Critical patent/WO2024250139A1/fr
Publication of WO2024250139A1 publication Critical patent/WO2024250139A1/fr
Anticipated expiration legal-status Critical
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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04J—MULTIPLEX COMMUNICATION
    • H04J11/00—Orthogonal multiplex systems, e.g. using WALSH codes
    • H04J11/0023—Interference mitigation or co-ordination
    • H04J11/005—Interference mitigation or co-ordination of intercell interference
    • H04J11/0056—Inter-base station aspects
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04J—MULTIPLEX COMMUNICATION
    • H04J11/00—Orthogonal multiplex systems, e.g. using WALSH codes
    • H04J11/0069—Cell search, i.e. determining cell identity [cell-ID]
    • H04J11/0079—Acquisition of downlink reference signals, e.g. detection of cell-ID

Definitions

  • Embodiments presented herein relate to a method, a network node, a computer program, and a computer program product for interference suppression in a system operating according to a Time Division Duplex pattern.
  • RI remote interference
  • the same frequency spectrum is used for both the downlink (i.e., for transmission from the network-side to the user -side) and the uplink (i.e., for transmission from the user-side to the network-side) .
  • RI such as atmospheric duct interference from one or more remote cells, could impact both uplink traffic and antenna calibration performance.
  • TRPs transmission and reception points
  • UE user equipment
  • UE 120 is assumed to be served by network node 200a via TRP 110a.
  • Each network node 200a: 200c could be any of a radio access network node, radio base station, base transceiver station, node B (NB) , evolved node B (eNB) , gNB, access point, integrated access and backhaul (IAB) node, or the like.
  • Each UE 120 could be any of a portable wireless device, mobile station, mobile phone, handset, wireless local loop phone, smartphone, laptop computer, tablet computer, network equipped sensor device, Internet-of-Things (IoT) device, network equipped vehicle, or the like.
  • TRP 110a is assumed to be impacted by RI caused by transmissions 140a, 140b from TRPs 110b and 110c. This could impact the transmission in the downlink 130a from TRP 110a towards UE 120 and/or the transmission in the uplink 130b from UE 120 towards TRP 110a. In this respect, TRP 11a might be distanced relatively far from TRPs 110b, 110c. The transmissions 140a, 140b could provide interfere in the guard period (GP) and uplink (UL) slots of the communication between network node 200a and UE 120.
  • GP guard period
  • UL uplink
  • the RI could also arise from transmissions 140a, 140b from TRPs 110b and 110c as reflected from earth and obstacles around TRP 110a. In this way, there could be multiple angles of arrival (AoA) for the transmissions 140a, 140b (that thus define RI signals) . This could add to challenges of mitigate the RI for TRP 110a.
  • AoA angles of arrival
  • cross-link interference which occurs when the transmission directions and the timing of neighboring cells in the network that are not aligned.
  • cross-link interference might arise when different (semi-static) TDD patterns or dynamic TDD patterns are used by neighboring cells.
  • Techniques to detect and mitigate RI caused by atmospheric duct might utilize identity information embedded in the transmissions 140a, 140b.
  • identity information embedded in the transmissions 140a, 140b.
  • the location of the RI source (aggressor TRPs; in the present case defined by TRPs 110b, 110c) could be detected via the TRPs 110a: 110c transmitting some special sequences which are received in the victim TRP (in the present case defined by TRP 110a) .
  • the identity information can be used to identify the aggressor TRPs.
  • the victim TRP could then request the aggressor TRPs to switch off some signals to reduce the RI caused at the victim TRP.
  • TRPs 110b, 110c In case some signals are switched off for TRPs 110b, 110c, one drawback is that the traffic performance of the network nodes 200b, 200c (whose communication is based on TRPs 110b, 110c) would be impacted. In addition, it could be that the network node 200a of the victim TRP and the network nodes 200b, 200c of the aggressor TRPs do not belong to the same network operator. This might make it difficult for network node 200a to request network node 200b and/or network node 200c to switch off some signals for TRP 110b and/or TRP 110c.
  • An object of embodiments herein is to address the above issues.
  • a particular object is to provide handling of RI at a victim TRP without experiencing the above issues, or where the above issues at least are mitigated or reduced.
  • a particular object is to provide handling of RI at a victim TRP without impacting the traffic performance of other cells, or TRPs.
  • a particular object is to provide handling of RI at a victim TRP by means of interference suppression.
  • a method for interference suppression in a system operating according to a TDD pattern is performed by a network node.
  • the method comprises detecting remote interference.
  • the remote interference is detected to impact an uplink slot in the TDD pattern.
  • the uplink slot is preceded by a special slot.
  • the method comprises performing interference symbol analysis.
  • the interference symbol analysis is using at least one symbol located between a last occurring downlink symbol in the special slot and a first occurring DMRS symbol in the uplink slot.
  • the method comprises performing interference suppression of the remote interference in accordance with the interference symbol analysis.
  • anetwork node for interference suppression in a system operating according to a TDD pattern.
  • the network node comprises processing circuitry.
  • the processing circuitry is configured to cause the network node to detect remote interference.
  • the remote interference is detected to impact an uplink slot in the TDD pattern.
  • the uplink slot is preceded by a special slot.
  • the processing circuitry is configured to cause the network node to perform interference symbol analysis.
  • the interference symbol analysis is using at least one symbol located between a last occurring downlink symbol in the special slot and a first occurring DMRS symbol in the uplink slot.
  • the processing circuitry is configured to cause the network node to perform interference suppression of the remote interference in accordance with the interference symbol analysis.
  • a network node for interference suppression in a system operating according to a TDD pattern.
  • the network node comprises a detect module configured to detect remote interference.
  • the remote interference is detected to impact an uplink slot in the TDD pattern.
  • the uplink slot is preceded by a special slot.
  • the network node comprises an analysis module configured to perform interference symbol analysis.
  • the interference symbol analysis is using at least one symbol located between a last occurring downlink symbol in the special slot and a first occurring DMRS symbol in the uplink slot.
  • the network node comprises a suppression module configured to perform interference suppression of the remote interference in accordance with the interference symbol analysis.
  • a computer program for interference suppression in a system operating according to a TDD pattern comprises computer code which, when run on processing circuitry of a network node, causes the network node to perform actions.
  • One action comprises the network node to detect remote interference.
  • the remote interference is detected to impact an uplink slot in the TDD pattern.
  • the uplink slot is preceded by a special slot.
  • One action comprises the network node to perform interference symbol analysis.
  • the interference symbol analysis is using at least one symbol located between a last occurring downlink symbol in the special slot and a first occurring DMRS symbol in the uplink slot.
  • One action comprises the network node to perform interference suppression of the remote interference in accordance with the interference symbol analysis.
  • a computer program product comprising a computer program according to the fourth aspect and a computer readable storage medium on which the computer program is stored.
  • the computer readable storage medium could be a non-transitory computer readable storage medium.
  • these aspects provide efficient handling of RI at a victim TRP without experiencing the above issue.
  • these aspects provide efficient handling of RI at a victim TRP without impacting the traffic performance of other cells, or TRPs.
  • these aspects provide efficient handling of RI at a victim TRP by means of interference suppression.
  • these aspects improve uplink key performance indicators.
  • Fig. 1 is a schematic diagram illustrating a communication network according to embodiments
  • Fig. 2 schematically illustrates how RI impacts different signals in a special slot and an UL slot in a TDD frame structure according to an example
  • Fig. 3 is a flowchart of methods according to embodiments.
  • Fig. 4 shows a comparison between a spatial domain analysis of a received signal according to an embodiment
  • Fig. 5 schematically illustrates examples of blanked symbols in TDD frame structures according to an embodiment
  • Fig. 6 is a flowchart of a method according to an embodiment
  • Fig. 7 is a schematic diagram showing functional units of a network node according to an embodiment
  • Fig. 8 is a schematic diagram showing functional modules of a network node according to an embodiment.
  • Fig. 9 shows one example of a computer program product comprising computer readable storage medium according to an embodiment.
  • a particular object is to provide handling of RI at a victim TRP by means of interference suppression.
  • interference suppression is based on measurements on the DMRSs as is located in symbol 3 and symbol 10 in each UL slot.
  • the RI only impacts symbols 0, 1, and 2 in the UL slot, or that the impact is lower in symbol 3 than in symbols 0, 1, or 2.
  • Fig. 2 is illustrating signals in a special slot and an UL slot in a TDD frame structure 160, together with RI.
  • the illustrated part of the special slot is composed of symbols assigned for downlink (DL) , guard symbols, antenna calibration (AC) , and sounding reference signals (SRSs) .
  • the uplink (UL) slot is composed of symbols assigned to a physical uplink channel (PUSCH) and DMRS. It can be seen that while the RI impacts the DMRS in symbol 3 of the UL slot, the RI does not impact the DMRS in symbol 10. Further, as schematically illustrated, the impact of the RI is higher in symbols 0, 1, 2, 3 of the UL slot (as well as in symbols 11, 12, 13 of the special slot) than in symbol 3 of the UL slot. In such a case, measurements based on the DMRSs might be of little use when seeking to mitigate the RI issue for the UL symbols 0, 1, and 2.
  • PUSCH physical uplink channel
  • the embodiments disclosed herein therefore relate to techniques for interference suppression in a system operating according to a TDD pattern.
  • a network node 200a a method performed by the network node 200a, a computer program product comprising code, for example in the form of a computer program, that when run on a network node 200a, causes the network node 200a to perform the method.
  • Fig. 3 is a flowchart illustrating embodiments of methods for interference suppression in a system operating according to a TDD pattern.
  • the methods are performed by the network node 200a.
  • the methods are advantageously provided as computer programs 920.
  • the network node 200a detects RI.
  • the RI is detected to impact an UL slot in the TDD pattern.
  • the UL slot is preceded by a special slot.
  • the interference symbol analysis is performed using a symbol located between the last downlink symbol in a special slot and the first DMRS symbol in the next UL slot.
  • the network node 200a performs interference symbol analysis.
  • the interference symbol analysis is using at least one symbol located between a last occurring downlink symbol in the special slot and a first occurring DMRS symbol in the UL slot.
  • the at least one symbol located between the last occurring downlink symbol in the special slot and the first occurring DMRS symbol in the UL slot is denoted an analysis symbol.
  • the network node 200a performs interference suppression of the RI in accordance with the interference symbol analysis.
  • RI is detected in S102.
  • spatial analysis can be used to detect whether RI is present or not.
  • Y UL has two parts; a received known signal, denoted Y AC , and RI signals, denoted Y RI .
  • the antenna calibration (AC) signal symbol as collected in the guard period can be utilized to detect the RI. That is, in some embodiments, the RI is detected by analyzing a received signal in a symbol in the special slot dedicated for an antenna calibration signal.
  • the antenna calibration signal might be transmitted by the network node 200a via an internal coupling network in the network node 200a (or TRP 110a) .
  • a spatial-domain Fourier transform (SDFT) conversion matrix C can then be constructed as follows.
  • the conversion matrix C is then the Kronecker product of R P , R K and R V :
  • FIG. 4 is shown a comparison between a spatial domain analysis of a received signal with RI and an AC signal (Fig. 4 (a) ) and with the same received signal where the AC signal having been removed (Fig. 4 (b) ) .
  • the AC signal to be removed it is assumed that the symbol in which the AC signal is transmitted is known.
  • the AC signal is assumed to be transmitted in a beam with a certain beam index, hereinafter denoted a.
  • detecting the RI involves removing any contribution of the antenna calibration signal from the received signal after having converted the received signal from antenna space to beam space.
  • the above procedure applies also other known signals than the AC signal.
  • the power P of the received signal in other beams can then be used to determine if RI is present or not.
  • b does not include the beam index a.
  • RI can be determined as present in case P> ⁇ , where ⁇ is some threshold value.
  • the RI impact to actual antenna calibration can be mitigated by many techniques, e.g., time domain filtering.
  • time domain filtering e.g., time domain filtering
  • detecting the RI involves monitoring the symbol in the special slot dedicated for the antenna calibration signal during a period of at least two frames, where the RI is detected only when the RI persists during this period of at least two frames.
  • the analysis symbol is a symbol in the special slot dedicated for an antenna calibration signal.
  • the analysis symbol is the symbol in the special slot dedicated for the antenna calibration signal, and any contribution of the antenna calibration signal has been removed from the analysis symbol when the interference symbol analysis is performed.
  • the signal Y′′ UL could then be converted to an antenna domain signal
  • the analysis symbol is a symbol in the special slot dedicated for a sounding reference signal (SRS) . Then, one of the symbols dedicated for the SRS signal might be blanked. This can be achieved by instructing the UE 120 to mute the SRS transmission in this symbol.
  • SRS sounding reference signal
  • the analysis symbol is the symbol in the special slot dedicated for the SRS signal, and the network node 200a is configured to perform (optional) step S104a:
  • the network node 200a instructs user equipment 120 served by the network node 200a to mute SRS transmission in the analysis symbol.
  • the analysis symbol is a symbol in the UL slot dedicated for data traffic. Then, one of the symbols dedicated for UL data traffic might be blanked. This can be achieved by instructing the UE 120 to mute the UL data traffic transmission in this symbol.
  • the analysis symbol is the symbol in the UL slot dedicated for the data traffic, and the network node 200a is configured to perform (optional) step S104b:
  • S104b The network node 200a instructs user equipment 120 served by the network node 200a to mute data traffic transmission in the analysis symbol.
  • FIG. 5 it is illustrating four different examples of blanked symbols in a special slot or an UL slot in TDD frame structures 500a, 500b, 500c, 500d.
  • the TDD frame structures 500a, 500b, 500c, 500d are otherwise the same as the TDD frame structure 160 illustrated in Fig. 2, although the different allocations of signals to the symbols are not explicitly indicated in Fig. 5. That is, symbols 6, 7, 8 in the special slot are DL symbols, as in Fig. 2, and so on,
  • the interference symbol analysis involves calculating a covariance matrix Q (using the processed AC symbol, the blanked SRS symbol, or the blanked traffic symbol) . That is, in some embodiments, performing the interference symbol analysis involves calculating a covariance matrix based on the analysis symbol.
  • This covariance matrix can then be used during the interference suppression of the RI in S108.
  • the interference suppression involves interference rejection combining. Therefore, in some embodiments, performing the interference suppression involves performing interference rejection combining in accordance with the calculated covariance matrix.
  • UL interference rejection combining can be used for mitigating UL interference.
  • UL interference rejection combining works by projecting the inverse of a covariance matrix Q onto the received base band signal. As the atmospheric duct interference from a downlink carrier in one cell is visible as interference on an UL carrier in another cell an UL interference rejection combining algorithm should be able to mitigate this interference in the same was as UL interference.
  • the covariance matrix Q is typically computed using one or more DMRS symbol, e.g., in UL symbols 3 and 10. This implies that the UL interference must overlap the first DMRS symbol, e.g., symbol 3, for the UL interference rejection combining to take effect. If the UL interference caused by the atmospheric duct interference would overlap any of the UL symbols 0 to 2 but not the DMRS in symbol 3, this would imply that the UL interference rejection combining would not take effect. As symbols 0 to 2 could be severely interfered by RI this could cause significant performance degradation of the interference rejection combining if not handled properly.
  • the network node 200a might configure a blank symbol, without any data, at symbol 0 or 1 in the UL slot, or in symbol 12 or 13 in special slot. This can be achieved by the above-disclosed blanking.
  • the covariance matrix Q is calculated as follows:
  • Y blank is the blanked SRS symbol or data traffic symbol.
  • One alternative is to use the processed AC symbol to compute the covariance matrix. That is:
  • the interference rejection combining is based on averaging of covariance matrices from multiple symbols. That is, in some embodiments, the interference rejection combining is based on at least two covariance matrices, where each of the at least two covariance matrices is calculated based on a respective symbol located between the last occurring downlink symbol in the special slot and the first occurring DMRS symbol in the UL slot. According to some non-limiting examples, this averaging can be achieved as follows:
  • Q avg is the averaged covariance matrix and N Q is the number of covariance matrices used in the averaging.
  • the covariance matrix is computed using any combination of symbols with blanked symbol, DMRS symbol 3 and 10.
  • the interference rejection combining is based on the at least two covariance matrices and a third covariance matrix, and the third covariance matrix is calculated based on the first occurring DMRS symbol in the UL slot or a second occurring DMRS symbol in the UL slot.
  • the analysis symbol is selected as the at least one symbol located between a last occurring downlink symbol in the special slot and the first occurring DMRS symbol in the UL slot for which an UL key performance indicator (KPI) is highest.
  • KPI UL key performance indicator
  • This at least one symbol is then used when performing the interference symbol analysis and/or when performing interference suppression.
  • which symbol to use as analysis symbol can be iteratively determined to achieve the highest level of interference suppression (or conversely, the highest UL KPI) .
  • the UL KPI is based on any, or any combination, of: number of acknowledgements (ACKs) , number of negative acknowledgements (NACKs) , block error rate (BLER) , traffic throughput.
  • the analysis symbol is selected as the at least one symbol located between a last occurring downlink symbol in the special slot and the first occurring DMRS symbol in the UL slot for which estimated received power of the RI is highest.
  • This at least one symbol is then used when performing the interference symbol analysis and/or when performing interference suppression. This might involve estimating the slope of the RI, that is, how the RI varies over time.
  • the at least one symbol located between a last occurring downlink symbol in the special slot and the first occurring DMRS symbol in the UL slot for which estimated received power of the RI is highest is used when performing the interference symbol analysis and/or when performing interference suppression.
  • Network node 200a performs monitoring of RI by analyzing a received signal in a symbol in the special slot dedicated for an antenna calibration signal.
  • Network node 200a checks whether RI is present or not. If present, S203 is entered. If not present, S102 can be entered again, possibly after some time delay.
  • Network node 200a selects based on which type of analysis symbol the interference symbol analysis is to be performed. Depending on the selection, one of S204a, S204b, S204c is entered.
  • the analysis symbol is the symbol in the special slot dedicated for the antenna calibration signal
  • Network node 200a performs the interference symbol analysis after any contribution of the antenna calibration signal has been removed from the analysis symbol.
  • the analysis symbol is a symbol in the special slot dedicated for an SRS signal.
  • Network node 200a performs the interference symbol analysis after having instructed UEs 120 served by network node 200a to mute SRS transmission in the analysis symbol.
  • the analysis symbol is a symbol in the special slot dedicated for data traffic.
  • Network node 200a performs the interference symbol analysis after having instructed UEs 120 served by network node 200a to mute data traffic transmission in the analysis symbol.
  • Network node 200a performs the interference suppression of the RI in accordance with the interference symbol analysis.
  • Network node 200a estimates the UL KPI for performing the interference suppression using the type of analysis symbol selected in S203.
  • the UL KPI can be stored and/or compared to the UL KPI resulting from one or more previous occurrences of the interference suppression. In this way, network node 200a could, over time, have access to a bank of UL KPIs for different types of analysis symbols.
  • Another type of analysis symbol can then be selected in S203 in case the UL KPI (as estimated for the same selected type of analysis symbol) has decreased, etc.
  • the same type of analysis symbol can be continued to be used also for further applications of the interference suppression for a certain period.
  • Fig. 7 schematically illustrates, in terms of a number of functional units, the components of a network node 200a according to an embodiment.
  • Processing circuitry 210 is provided using any combination of one or more of a suitable central processing unit (CPU) , multiprocessor, microcontroller, digital signal processor (DSP) , etc., capable of executing software instructions stored in a computer program product 910 (as in Fig. 9) , e.g. in the form of a storage medium 230.
  • the processing circuitry 210 may further be provided as at least one application specific integrated circuit (ASIC) , or field programmable gate array (FPGA) .
  • ASIC application specific integrated circuit
  • FPGA field programmable gate array
  • the processing circuitry 210 is configured to cause the network node 200a to perform a set of operations, or steps, as disclosed above.
  • the storage medium 230 may store the set of operations
  • the processing circuitry 210 may be configured to retrieve the set of operations from the storage medium 230 to cause the network node 200a to perform the set of operations.
  • the set of operations may be provided as a set of executable instructions.
  • the processing circuitry 210 is thereby arranged to execute methods as herein disclosed.
  • the storage medium 230 may also comprise persistent storage, which, for example, can be any single one or combination of magnetic memory, optical memory, solid state memory or even remotely mounted memory.
  • the network node 200a may further comprise a communications (comm. ) interface 220 at least configured for communications with other functions, nodes, entities, and devices.
  • the communications interface 220 may comprise one or more transmitters and receivers, comprising analogue and digital components.
  • the processing circuitry 210 controls the general operation of the network node 200a e.g. by sending data and control signals to the communications interface 220 and the storage medium 230, by receiving data and reports from the communications interface 220, and by retrieving data and instructions from the storage medium 230.
  • Other components, as well as the related functionality, of the network node 200a are omitted in order not to obscure the concepts presented herein.
  • Fig. 8 schematically illustrates, in terms of a number of functional modules, the components of a network node 200a according to an embodiment.
  • the network node 200a of Fig. 8 comprises a number of functional modules; a detect module 210a configured to perform step S102, an analysis module 210d configured to perform step S106, and a suppression (supp. ) module 210e configured to perform step S108.
  • the network node 200a of Fig. 8 may further comprise a number of optional functional modules, such as any of a (first) instruct module 210b configured to perform step S104a and a (second) instruct module 210c configured to perform step S104b.
  • each functional module 210a: 210e may in one embodiment be implemented only in hardware and in another embodiment with the help of software, i.e., the latter embodiment having computer program instructions stored on the storage medium 230 which when run on the processing circuitry makes the network node 200a perform the corresponding steps mentioned above in conjunction with Fig 8. It should also be mentioned that even though the modules correspond to parts of a computer program, they do not need to be separate modules therein, but the way in which they are implemented in software is dependent on the programming language used.
  • one or more or all functional modules 210a: 210e may be implemented by the processing circuitry 210, possibly in cooperation with the communications interface 220 and/or the storage medium 230.
  • the processing circuitry 210 may thus be configured to from the storage medium 230 fetch instructions as provided by a functional module 210a: 210e and to execute these instructions, thereby performing any steps as disclosed herein.
  • the network node 200a may be provided as a standalone device or as a part of at least one further device.
  • the network node 200a may be provided in a node of the radio access network or in a node of the core network.
  • functionality of the network node 200a may be distributed between at least two devices, or nodes. These at least two nodes, or devices, may either be part of the same network part (such as the radio access network or the core network) or may be spread between at least two such network parts.
  • instructions that are required to be performed in real time may be performed in a device, or node, operatively closer to the cell than instructions that are not required to be performed in real time.
  • a first portion of the instructions performed by the network node 200a may be executed in a first device, and a second portion of the of the instructions performed by the network node 200a may be executed in a second device; the herein disclosed embodiments are not limited to any particular number of devices on which the instructions performed by the network node 200a may be executed.
  • the methods according to the herein disclosed embodiments are suitable to be performed by a network node 200a residing in a cloud computational environment. Therefore, although a single processing circuitry 210 is illustrated in Fig. 7 the processing circuitry 210 may be distributed among a plurality of devices, or nodes. The same applies to the functional modules 210a: 210e of Fig. 8 and the computer program 920 of Fig. 9.
  • Some (radio) access network architectures define network nodes (or gNBs) comprising multiple component parts or nodes: a central unit (CU) , one or more distributed units (DUs) , and one or more radio units (RUs) .
  • the protocol layer stack of the network node is divided between the CU, the DUs and the RUs, with one or more lower layers of the stack implemented in the RUs, and one or more higher layers of the stack implemented in the CU and/or DUs.
  • the CU is coupled to the DUs via a fronthaul higher layer split (HLS) network; the CU/DUs are connected to the RUs via a fronthaul lower-layer split (LLS) network.
  • HLS fronthaul higher layer split
  • LLS fronthaul lower-layer split
  • the DU may be combined with the CU in some embodiments, where a combined DU/CU may be referred to as a CU or simply a baseband unit.
  • a communication link for communication of user data messages or packets between the RU and the baseband unit, CU, or DU is referred to as a fronthaul network or interface.
  • Messages or packets may be transmitted from the network node 200 in the downlink (i.e., from the CU to the RU) or received by the network node 200 in the uplink (i.e., from the RU to the CU) .
  • Fig. 9 shows one example of a computer program product 910 comprising computer readable storage medium 930.
  • a computer program 920 can be stored, which computer program 920 can cause the processing circuitry 210 and thereto operatively coupled entities and devices, such as the communications interface 220 and the storage medium 230, to execute methods according to embodiments described herein.
  • the computer program 920 and/or computer program product 910 may thus provide means for performing any steps as herein disclosed.
  • the computer program product 910 is illustrated as an optical disc, such as a CD (compact disc) or a DVD (digital versatile disc) or a Blu-Ray disc.
  • the computer program product 910 could also be embodied as a memory, such as a random access memory (RAM) , a read-only memory (ROM) , an erasable programmable read-only memory (EPROM) , or an electrically erasable programmable read-only memory (EEPROM) and more particularly as a non-volatile storage medium of a device in an external memory such as a USB (Universal Serial Bus) memory or a Flash memory, such as a compact Flash memory.
  • the computer program 920 is here schematically shown as a track on the depicted optical disk, the computer program 920 can be stored in any way which is suitable for the computer program product 910.

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Abstract

L'invention concerne des techniques de suppression de brouillage dans un système fonctionnant selon un motif TDD. Un procédé est exécuté par un nœud de réseau. Le procédé comprend la détection d'un brouillage à distance. Il est détecté que le brouillage à distance a un impact sur un créneau de liaison montante dans le motif TDD. Selon le motif TDD, le créneau de liaison montante est précédé par un créneau spécial. Le procédé comprend la réalisation d'une analyse de symboles de brouillage. L'analyse de symboles de brouillage consiste à utiliser au moins un symbole situé entre un dernier symbole de liaison descendante apparaissant dans le créneau spécial et un premier symbole DMRS apparaissant dans le créneau de liaison montante. Le procédé comprend la réalisation d'une suppression de brouillage du brouillage à distance conformément à l'analyse de symboles de brouillage.
PCT/CN2023/098279 2023-06-05 2023-06-05 Brouillage dans un système fonctionnant en tdd Ceased WO2024250139A1 (fr)

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PCT/CN2023/098279 WO2024250139A1 (fr) 2023-06-05 2023-06-05 Brouillage dans un système fonctionnant en tdd

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PCT/CN2023/098279 WO2024250139A1 (fr) 2023-06-05 2023-06-05 Brouillage dans un système fonctionnant en tdd

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