A method and system for suppressing soft-bit interference in reference signals based on quasi-co-addressability
By determining the quasi-co-location reference signal of the target channel, calculating the noise value, and performing soft bit suppression shifting, the interference suppression problem of PDCCH and PDSCH is solved, thereby improving the signal reception quality and decoding performance.
Patent Information
- Application Number
- CN202410021684.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-01-05
- Publication Date
- 2025-10-31
- Estimated Expiration
- 2044-01-05
AI Technical Summary
In existing technologies, PDCCH and PDSCH fail to effectively suppress interference at the soft bit level during channel estimation, resulting in insufficient signal reception quality and decoding performance.
By determining a reference signal that has a quasi-co-located relationship with the target channel, the noise value is calculated, and the soft bits of each resource element are suppressed and shifted during the channel estimation process. The suppression coefficient is used to reduce interference and improve decoding performance.
It effectively suppressed channel interference, improved signal reception quality and decoding performance, and enhanced the stability and efficiency of the communication system.
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Figure CN118054994B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of interference suppression technology, and in particular to a soft-bit interference suppression method and system based on a reference signal with quasi-co-address relationships. Background Technology
[0002] In wireless communication technology, the Physical Downlink Shared Channel (PDSCH) is the primary channel used to transmit downlink user data. For PDSCH configuration, the network can explicitly configure either the Channel State Information Reference Signal (CSI-RS) or the Tracking Reference Signal (TRS) to establish a quasi-co-location (QCL) relationship with the PDSCH in two ways.
[0003] One configuration method is for the network to dynamically indicate that a pool of Target Channel Information (TCIstate) with up to 8 members is configured through Radio Resource Control (RRC), and then a state is dynamically selected through Downlink Control Information (DCI) as the QCL relationship of its scheduled PDSCH.
[0004] Another configuration method is static network configuration. For broadcast PDSCH or unicast PDSCH scheduled using DCL format 1-0, DCL format 4-0, or DCL format 4-1, if the network does not enable dynamic indication TCIstate, then the QCL relationship of the PDSCH defaults to the reference signal (RS) associated with the Physical Downlink Control Channel (PDCCH) that schedules the PDSCH, or the random access synchronization signal block (SSB).
[0005] However, in existing technical solutions, both PDCCH and PDSCH only use the channel estimation results of QCL RS to assist in channel estimation, without performing corresponding interference suppression at the soft bit level. Summary of the Invention
[0006] To address the above technical problems, this invention provides a method and system for suppressing soft bit interference in reference signals based on quasi-co-address relationships.
[0007] The technical problem solved by this invention can be achieved by the following technical solutions:
[0008] The first aspect of the present invention is to provide a soft bit interference suppression method for a reference signal based on quasi-co-addressability, comprising:
[0009] Step S1: Determine the reference signal that has a quasi-co-location relationship with the target channel;
[0010] Step S2: Calculate the first noise value of the reference signal;
[0011] Step S3: Calculate the second noise value for each resource element of the target channel during the channel estimation process;
[0012] Step S4: When interference is detected, the soft bits of each resource element are suppressed and shifted according to the first noise value and the second noise value of the resource element.
[0013] Preferably, the target channel is a channel with a quasi-co-located reference signal and soft-bit decoding.
[0014] Preferably, the target channel is a physical downlink shared channel or a physical downlink control channel.
[0015] Preferably, the process further includes the following steps before step S4:
[0016] The presence of interference is detected based on the first noise value and the second noise value;
[0017] When the first noise value is equal to the second noise value, no interference is detected.
[0018] Preferably, step S4 includes:
[0019] The suppression coefficient is determined based on the first noise value and the second noise value;
[0020] The soft bits of each resource element are suppressed and shifted according to the suppression coefficient.
[0021] Preferably, the suppression coefficient is the ratio of the second noise value to the first noise value rounded down.
[0022] A second aspect of the present invention is to provide a soft bit interference suppression system based on a reference signal with quasi-co-addressable relationships, comprising:
[0023] A reference signal determination unit is used to determine a reference signal that has a quasi-co-addressable relationship with the target channel;
[0024] A first noise calculation unit, connected to the reference signal determination unit, is used to calculate a first noise value of the reference signal;
[0025] The second noise calculation unit is used to calculate the second noise value of each resource element of the target channel during the channel estimation process.
[0026] An interference suppression unit, connected to the first noise calculation unit and the second noise calculation unit respectively, is used to suppress and shift the soft bits of each resource element according to the reference signal with quasi-co-address relationship and the second noise value of the resource element when interference is detected.
[0027] Preferably, the target channel is a channel with a quasi-co-located reference signal and soft-bit decoding.
[0028] Preferably, the interference suppression unit includes:
[0029] A suppression coefficient determination module is used to determine a suppression coefficient based on the first noise value and the second noise value;
[0030] A suppression shift module, connected to the suppression coefficient determination module, is used to suppress and shift the soft bits of each resource element according to the suppression coefficient.
[0031] Preferably, the suppression coefficient is the ratio of the second noise value to the first noise value rounded down.
[0032] The advantages or beneficial effects of the technical solution of this invention are as follows:
[0033] This invention uses QCLRS noise estimation to suppress interference in the soft bits, thereby effectively improving the signal reception quality and enhancing decoding performance. Attached Figure Description
[0034] Figure 1 This is a flowchart illustrating a preferred embodiment of the present invention for a soft-bit interference suppression method based on a quasi-co-location reference signal.
[0035] Figure 2 This is a flowchart illustrating the specific implementation of the soft bit interference suppression method based on quasi-co-addressable reference signals in a preferred embodiment of the present invention.
[0036] Figure 3 A block diagram of a soft-bit interference suppression system based on a quasi-co-addressable reference signal, as shown in a preferred embodiment of the present invention.
[0037] Figure 4 This is a structural block diagram of the interference suppression unit in a preferred embodiment of the present invention. Detailed Implementation
[0038] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0039] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other.
[0040] The present invention will be further described below with reference to the accompanying drawings and specific embodiments, but this is not intended to limit the scope of the invention.
[0041] See Figure 1 and Figure 2 In a preferred embodiment of the present invention, based on the above-mentioned problems existing in the prior art, a soft bit interference suppression method for a reference signal based on quasi-co-location relationship is provided, comprising:
[0042] Step S1: Determine the reference signal that has a quasi-co-location relationship with the target channel;
[0043] The target channel can be a reference signal with a quasi-colocation relationship and a channel with soft-bit decoding. Quasi-colocation relationship (QCL) refers to the relative positional relationship between different channels or signals, used to describe and determine the alignment of different channels or signals in time and frequency. For example, a quasi-colocation relationship exists between the reference signal and the data channel. This relationship ensures precise alignment of the reference signal and the data signal in time and frequency, thereby achieving more accurate channel estimation and data demodulation, which directly affects the system's performance and efficiency.
[0044] Soft-bit decoding is a technique for demodulating and decoding received signals at the receiver, primarily used to improve the bit error rate performance of a system. The basic principle of soft-bit decoding is that it utilizes both hard-decision and soft-decision information during the decoding process to achieve better decoding performance.
[0045] For example, the target channel can be the Physical Downlink Shared Channel (PDSCH) or the Physical Downlink Control Channel (PDCCH).
[0046] The method for determining the reference signal includes the following steps:
[0047] S100, the Radio Resource Control (RRC) network configures the first resource pool A of M RSs that may have a QCL relationship with the target channel for the user terminal UE;
[0048] S102, the Medium Access Control Element (MACCE) selects up to 8 reference signals from the first resource pool A as semi-static QCL RS in the second resource pool B. Further filtering is then performed to identify reference signals with QCL relationships to the target channel.
[0049] S103, Downlink Control Information (DCI) dynamically indicates which RS in the second resource pool B is currently in a QCL relationship with the target channel. This ensures that the UE can correctly resolve the reference signal that has a QCL relationship with the target channel;
[0050] Furthermore, when the network does not provide specific indication of the reference signal, the target channel is assumed to have a QCL-associated RS or a QCL-related random access SSB. This ensures that the UE can correctly process the PDSCH and PDCCH even without explicit indication, effectively process and control the reference signal that has a quasi-co-located relationship with the target channel, thereby improving the efficiency and stability of communication.
[0051] Step S2: Calculate the first noise value of the reference signal;
[0052] The methods for calculating the first noise value may include, but are not limited to, the following: by measuring the power spectral density of the reference signal, using signal processing techniques (such as Fourier transform) to determine the spectral characteristics of the reference signal, and estimating the first noise value of the QCLRS; or by comparing it with a known noise model to estimate the noise value.
[0053] Step S3: Calculate the second noise value for each resource element of the target channel during the channel estimation process;
[0054] The basic principle of the above noise value (noise power) calculation is to use the original channel estimate value estimated by the classic LS algorithm, subtract the filtered channel estimate parameters, and then calculate the noise value of each RE to obtain the final noise power.
[0055] Step S4: When interference is detected, the soft bits of each resource element are suppressed and shifted according to the first noise value and the second noise value of the resource element.
[0056] Specifically, for each RE's soft bit LLR in the MIMO output, a suppression shift is performed based on the first noise value of the QCL RS and the second noise value of each RE to reduce the soft bit value of the interfered RE.
[0057] In a preferred embodiment, the steps preceding step S4 include:
[0058] The presence of interference is detected based on the first and second noise values.
[0059] When the first noise value equals the second noise value, no interference is detected.
[0060] Specifically, if the noise power of the resource element (RE) of the target channel is comparable to the noise power of the QCL RS, i.e., the suppression coefficient is 1, it means that there is no interference at this time, and that noise suppression is not required for the soft bit LLR of each RE in the MIMO output.
[0061] In a preferred embodiment, step S4 includes:
[0062] The suppression coefficient is determined based on the first noise value and the second noise value;
[0063] The soft bits of each resource element are suppressed and shifted according to the suppression coefficient.
[0064] Specifically, if the noise power of the resource element (RE) of the target channel and the noise power of the QCL RS are multiples of each other, it indicates strong interference. This means that the soft bits (LLR) of each RE in the MIMO output need to be shifted to suppress noise and reduce the effective value of the LLR at the location of the RE with strong interference. In practice, this can be achieved by calculating the ratio of the second noise value of the RE to the first noise value of the QCL RS, rounding this ratio up to obtain the suppression coefficient, denoted as Ic. Then, based on the suppression coefficient Ic, the corresponding soft bits (LLR) of the RE in the MIMO output are suppressed by a shift operation. The suppression coefficient is the number of bits shifted to the right. The stronger the interference, the smaller the effective value of the corresponding RE's LLR soft bits.
[0065] In a preferred embodiment, the suppression coefficient is the ratio of the second noise value to the first noise value rounded down.
[0066] This invention utilizes noise estimation of the target channel's QCL RS and interference estimation of its own channel to perform interference suppression processing on the output soft bits, thereby solving the problem of local signal interference in the channel received signal, suppressing interference RE, and improving decoding performance.
[0067] See Figure 3 The present invention also provides a soft bit interference suppression system based on a reference signal with quasi-co-addressable relationship, comprising:
[0068] Reference signal determination unit 1 is used to determine a reference signal that has a quasi-co-address relationship with the target channel;
[0069] The first noise calculation unit 2 is connected to the reference signal determination unit 1 and is used to calculate the first noise value of the reference signal.
[0070] The second noise calculation unit 3 is used to calculate the second noise value of each resource element of the target channel during the channel estimation process.
[0071] Interference suppression unit 4 is connected to the first noise calculation unit 2 and the second noise calculation unit 3 respectively, and is used to suppress and shift the soft bits of each resource element according to the reference signal with quasi-co-address relationship and the second noise value of the resource element when interference is detected.
[0072] In a preferred embodiment, the target channel is a channel with a quasi-co-located reference signal and soft-bit decoding.
[0073] In a preferred embodiment, such as Figure 4 As shown, the interference suppression unit 4 includes:
[0074] Suppression coefficient determination module 41 is used to determine the suppression coefficient based on the first noise value and the second noise value;
[0075] The suppression shift module 42 is connected to the suppression coefficient determination module 41 and is used to suppress and shift the soft bits of each resource element according to the suppression coefficient.
[0076] In a preferred embodiment, the suppression coefficient is the ratio of the second noise value to the first noise value rounded down.
[0077] The advantages or beneficial effects of the above technical solution are as follows: the present invention uses QCL RS noise estimation to suppress interference of the soft bits, thereby effectively improving the signal reception quality and enhancing the decoding performance; the present invention is also applicable to channels such as PDCCH that have QCL RS and soft bit decoding.
[0078] The above are merely preferred embodiments of the present invention and are not intended to limit the implementation methods and protection scope of the present invention. Those skilled in the art should recognize that any equivalent substitutions and obvious changes made using the content of this specification and illustrations should be included within the protection scope of the present invention.
Claims
1. A method for soft-bit interference suppression based on a reference signal with quasi-co-addressable relationships, characterized in that, include: Step S1: Determine the reference signal that has a quasi-co-location relationship with the target channel; Step S2: Calculate the first noise value of the reference signal; Step S3: Calculate the second noise value for each resource element of the target channel during the channel estimation process; Step S4: When interference is detected, the soft bits of each resource element are suppressed and shifted according to the first noise value and the second noise value of the resource element.
2. The soft-bit interference suppression method for reference signals based on quasi-co-location relationships according to claim 1, characterized in that, The target channel is a channel with a quasi-co-located reference signal and soft-bit decoding.
3. The soft-bit interference suppression method for reference signals based on quasi-co-location relationships according to claim 1, characterized in that, The target channel is either a physical downlink shared channel or a physical downlink control channel.
4. The soft-bit interference suppression method for reference signals based on quasi-co-location relationships according to claim 1, characterized in that, Before step S4, the following is included: The presence of interference is detected based on the first noise value and the second noise value; When the first noise value is equal to the second noise value, no interference is detected.
5. The soft-bit interference suppression method for reference signals based on quasi-co-location relationships according to claim 1, characterized in that, Step S4 includes: The suppression coefficient is determined based on the first noise value and the second noise value; The soft bits of each resource element are suppressed and shifted according to the suppression coefficient.
6. The soft-bit interference suppression method for reference signals based on quasi-co-location relationships according to claim 5, characterized in that, The suppression coefficient is the ratio of the second noise value to the first noise value, rounded down.
7. A soft-bit interference suppression system based on a reference signal with quasi-co-addressable relationships, characterized in that, include: A reference signal determination unit is used to determine a reference signal that has a quasi-co-addressable relationship with the target channel; A first noise calculation unit, connected to the reference signal determination unit, is used to calculate a first noise value of the reference signal; The second noise calculation unit is used to calculate the second noise value of each resource element of the target channel during the channel estimation process. An interference suppression unit is connected to the first noise calculation unit and the second noise calculation unit, respectively, and is used to suppress and shift the soft bits of each resource element according to the first noise value and the second noise value of the resource element when interference is detected.
8. The soft-bit interference suppression system based on a quasi-co-location reference signal according to claim 7, characterized in that, The target channel is a channel with a quasi-co-located reference signal and soft-bit decoding.
9. The soft-bit interference suppression system based on a quasi-co-location reference signal according to claim 7, characterized in that, The interference suppression unit includes: A suppression coefficient determination module is used to determine a suppression coefficient based on the first noise value and the second noise value; A suppression shift module, connected to the suppression coefficient determination module, is used to suppress and shift the soft bits of each resource element according to the suppression coefficient.
10. The soft-bit interference suppression system based on a quasi-co-location reference signal according to claim 9, characterized in that, The suppression coefficient is the ratio of the second noise value to the first noise value, rounded down.
Citation Information
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