Method, device, chip, terminal and storage medium for determining same-frequency cell list
By integrating historical measurement information and the latest cell signal quality information, the list of cells in the same frequency is determined, and the problems of insufficient interference cancellation performance and high power consumption in the prior art are solved, thereby achieving more efficient interference cancellation and lower power consumption.
Patent Information
- Application Number
- CN202210364683.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-04-07
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2042-04-07
AI Technical Summary
In the prior art, in the case of interference cancellation of cells in the same frequency, it is difficult to effectively utilize the latest cell signal quality information, resulting in insufficient interference cancellation performance and excessive power consumption.
By integrating historical measurement information and the latest cell signal quality information, a list of cells in the same frequency is determined for cell interference cancellation. The specific steps include determining the cells to be selected based on the historical measurement information, obtaining the latest signal quality information of each cell, and determining the final list of the same frequency cell based on the comprehensive information.
Improves the performance of synchronous interference cancellation, reduces the power consumption of the receiver, and improves the robustness of the system.
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Figure CN114650554B_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to, but is not limited to, the field of wireless communications, and in particular to a method, device, chip, terminal, and storage medium for determining a same-frequency cell list. Background Art
[0002] In the field of wireless communication technology, to eliminate co-frequency cell interference, generally, measurement information of cells is obtained through a measurement list, and the cells are sorted according to SINR or RSRP in the measurement information to obtain several cells with the largest SINR or RSRP to form a co-frequency cell list, and further a co-frequency interference elimination algorithm is adopted to achieve it.
[0003] It can be seen that continuously improving the related co-frequency cell selection scheme and / or co-frequency interference elimination algorithm are important research directions for reducing cell interference and improving receiver performance. Summary of the invention
[0004] The embodiments of the present disclosure provide a method, device, chip, terminal and storage medium for determining a list of co-frequency cells. The list of co-frequency cells is determined by integrating historical measurement information and the latest cell quality information for use in eliminating co-frequency cell interference, thereby achieving the purpose of improving interference elimination performance and reducing power consumption.
[0005] The present disclosure provides a method for determining a same-frequency cell list, including:
[0006] Determine multiple cells to be selected based on historical measurement information of cells with the same frequency;
[0007] Obtaining the latest cell signal quality information corresponding to each of the multiple cells to be selected;
[0008] The co-frequency cell list is determined according to the historical measurement information of the multiple cells to be selected and the corresponding latest cell signal quality information.
[0009] The embodiment of the present disclosure also provides a device for determining a same-frequency cell list, including:
[0010] A historical measurement information acquisition module, configured to determine a plurality of cells to be selected based on historical measurement information of cells in the same frequency band;
[0011] The latest cell signal quality acquisition module is configured to acquire the latest cell signal quality information corresponding to each of the multiple cells to be selected;
[0012] The determination module is configured to determine the same-frequency cell list according to the historical measurement information of the multiple cells to be selected and the corresponding latest cell signal quality information.
[0013] The present disclosure also provides a communication chip, including a processor, wherein the processor is configured to:
[0014] Determine multiple cells to be selected based on historical measurement information of cells with the same frequency;
[0015] Obtaining the latest cell signal quality information corresponding to each of the multiple cells to be selected;
[0016] The co-frequency cell list is determined according to the historical measurement information of the multiple cells to be selected and the corresponding latest cell signal quality information.
[0017] The present disclosure also provides a mobile terminal, including a communication chip, wherein the communication chip is configured to execute:
[0018] Determine multiple cells to be selected based on historical measurement information of cells with the same frequency;
[0019] Obtaining the latest cell signal quality information corresponding to each of the multiple cells to be selected;
[0020] The co-frequency cell list is determined according to the historical measurement information of the multiple cells to be selected and the corresponding latest cell signal quality information.
[0021] An embodiment of the present disclosure further provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the method for determining a same-frequency cell list as described in any embodiment of the present disclosure is implemented.
[0022] Other aspects will be apparent upon reading and understanding the drawings and detailed description. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the solutions of the present application. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying any creative work.
[0024] Figure 1 An interference elimination algorithm flow in an implementable solution;
[0025] Figure 2 This is a flow chart of a method for determining a same-frequency cell list in an embodiment of the present disclosure;
[0026] Figure 3 This is a flow chart of a method for determining the latest cell signal quality information in an embodiment of the present disclosure;
[0027] Figure 4 This is a flow chart of another method for determining a same-frequency cell list in an embodiment of the present disclosure;
[0028] Figure 5 This is a flow chart of another method for determining a same-frequency cell list in an embodiment of the present disclosure;
[0029] Figure 6 It is a structural diagram of a device for determining a same-frequency cell list in an embodiment of the present disclosure.
[0030] The realization of the purpose, functional features and advantages of the present application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION
[0031] The following will be combined with the drawings in the embodiments of the present disclosure to clearly and completely describe the technical solutions in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0032] It should be noted that all directional indications in the embodiments of the present disclosure (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.
[0033] In addition, in the present disclosure, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of the present disclosure, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.
[0034] In the present disclosure, unless otherwise clearly specified and limited, the terms "connection", "fixation", etc. should be understood in a broad sense. For example, "fixation" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present application scheme can be understood according to specific circumstances.
[0035] In addition, the technical solutions between the various embodiments of the present disclosure can be combined with each other, but it must be based on the fact that ordinary technicians in the field can implement it. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.
[0036] Before describing the specific embodiments, the abbreviations of the relevant terms involved in the present disclosure are explained as follows:
[0037]
[0038] Co-channel interference elimination is a very effective method to combat interference. Since the 3G era, many co-channel interference elimination algorithms have been proposed and implemented. Generally speaking, according to different transform domains, co-channel interference elimination algorithms can be divided into co-channel interference elimination algorithms based on time domain and frequency domain. According to different interference elimination objects, they can be divided into co-channel interference elimination based on channel estimation results and co-channel interference elimination algorithms based on data demodulation. For these two or more other co-channel interference elimination algorithm branches, the cell list determined based on the scheme of this application is applicable to various interference elimination algorithms. Therefore, in the embodiment of the present disclosure, the frequency domain co-channel interference elimination algorithm based on channel estimation is used as an example of the co-channel interference elimination algorithm finally applied to the cell list determined by the scheme of the embodiment of the present disclosure.
[0039] Some achievable co-channel interference elimination algorithms are as follows, taking the interference scenario of two cells as an example:
[0040] For the received signal y=h 1 *s 1 +h 2 *s 2 +n,
[0041] where h 1 and 1 represent the actual channel response and the transmitted reference sequence of cell 1, respectively, 2 and 2 They represent the actual channel response and the reference sequence sent by cell 2 respectively, and n represents the system white noise; the interference elimination process is as follows: Figure 1 As shown:
[0042] Step 110: Obtain the actual channel estimation result of cell 1 The method can adopt mmse filtering;
[0043] Step 120, subtract the signal component in cell 1 from the received signal y to obtain signal
[0044]
[0045] From the above formula, we can see that if The accuracy is sufficient. It is the signal composition of a single cell;
[0046] Step 130, from Get the channel estimation result of cell 2 The method can still use mmse filtering;
[0047] Step 140, subtract the signal component in cell 2 from the received signal y to obtain
[0048]
[0049] Step 150, return to step 110, and complete the first iteration.
[0050] It can be seen that the results obtained in steps 110 and 120 in the above process are particularly important, and their accuracy directly affects the subsequent interference elimination iteration effect. Generally speaking, the interference elimination algorithm follows the arrangement of the power of the elimination signal itself from large to small to achieve the purpose of accurately reconstructing and eliminating the signal, otherwise it will significantly affect the performance.
[0051] It should be noted that some feasible interference elimination schemes only refer to the co-frequency cell list determined based on previous measurement information, without considering related changes. For example, due to the movement of the receiver, the power of the interfering cell changes, and the cell with a smaller measurement result before becomes a cell with larger interference, which makes the co-frequency cell list used for interference elimination invalid, and ultimately affects the interference elimination performance; or, due to the movement of the receiver or the change of the environment, the interference cell with larger power becomes smaller or even approaches 0. At this time, the receiver can not perform interference elimination on these cells with very small or close to 0 interference. If the receiver is unaware of this change and continues to execute the interference elimination algorithm according to the co-frequency cell list determined based on previous measurement information, it will lead to higher power consumption.
[0052] In the NR system, SSB carries PBCH and synchronization signals. Due to the introduction of the beam concept and the possible interference of SS itself, interference elimination of PBCH DMRS and SSS used for PBCH demodulation is almost a must for UE. Therefore, how to select the cell list for interference elimination is a key issue.
[0053] NR's SSB interference scenarios are relatively complex. In summary, there are the following types:
[0054] PBCH DMRS has co-channel interference, but SSS has no co-channel interference;
[0055] PBCH DMRS has no co-channel interference, but SSS has co-channel interference;
[0056] Both PBCH DMRS and SSS have co-channel interference.
[0057] Since the UE can obtain the sequence number of the PBCH DMRS and the sequence number of the SSS from the cell ID and beam index in the stored cell information list, the above three cases can be attributed to being directly obtained from the cell list, and this application solution does not distinguish them in detail.
[0058] The disclosed embodiment provides a solution for determining a co-frequency cell list, which determines a cell list for interference elimination by integrating historical measurement information and current latest information, thereby achieving the purpose of improving interference elimination performance and reducing power consumption.
[0059] The present disclosure provides a method for determining a same-frequency cell list. Figure 2 As shown, including:
[0060] Step 210, determining a plurality of cells to be selected based on historical measurement information of cells in the same frequency;
[0061] Step 220, obtaining the latest cell signal quality information corresponding to each of the multiple cells to be selected;
[0062] Step 230: Determine the co-frequency cell list according to the historical measurement information of the multiple cells to be selected and the corresponding latest cell signal quality information.
[0063] In some exemplary embodiments, the historical measurement information includes: a signal to interference and noise ratio SINR comprehensive score;
[0064] Accordingly, step 210 includes: determining a signal to interference and noise ratio (SINR) comprehensive score of each co-frequency cell according to at least one historically measured signal to interference and noise ratio (SINR) of each co-frequency cell; and determining the multiple cells to be selected according to the signal to interference and noise ratio (SINR) comprehensive scores of each co-frequency cell.
[0065] Wherein, the at least one time is set to X times, and X is a positive integer. In some exemplary embodiments, filtering is performed based on the X historical measured SINRs of each co-frequency cell, and the filtering result is used as the SINR comprehensive score. Wherein, the filtering process includes: averaging; or, summing; or, summing according to weights, etc. The specific aspects of the filtering process can be flexibly set as needed, and are not limited to the aspects of the examples of the present disclosure.
[0066] In some exemplary embodiments, the historical measurement information includes: a reference signal received strength RSRP comprehensive score;
[0067] Accordingly, step 210 includes: determining the reference signal reception strength RSRP comprehensive score of each co-frequency cell according to at least one historical measurement of the reference signal reception strength RSRP of each co-frequency cell; and determining the multiple cells to be selected according to the reference signal reception strength RSRP comprehensive score of each co-frequency cell.
[0068] Wherein, the at least one time is set to Y times, and Y is a positive integer. In some exemplary embodiments, filtering is performed based on the Y historical measurements of RSRP of each co-frequency cell, and the filtering result is used as the RSRP comprehensive score. Wherein, the filtering process includes: averaging; or, summing; or, summing according to weights, etc. The specific aspects of the filtering process can be flexibly set as needed, and are not limited to the aspects of the examples of the present disclosure.
[0069] In some exemplary embodiments, the historical measurement information includes: a signal to interference and noise ratio and a comprehensive score of a reference signal reception strength;
[0070] Accordingly, step 210 includes: determining a comprehensive score of the signal to interference and noise ratio and reference signal received strength (SINR-RSRP) of each co-frequency cell according to at least one historical measurement of the signal to interference and noise ratio SINR and the reference signal received strength RSRP of each co-frequency cell; and determining the multiple cells to be selected according to the comprehensive score of the signal to interference and noise ratio and the reference signal received strength (SINR-RSRP) of each co-frequency cell.
[0071] Wherein, the at least one time is set Z times, and Z is a positive integer. In some exemplary embodiments, filtering is performed based on the Z times of historical measurement of SINR and RSRP of each co-frequency cell, and the filtering result is used as the SINR-RSRP comprehensive score. Wherein, the filtering process includes: averaging; or, summing; or, summing according to weights, etc. The specific aspects of the filtering process can be flexibly set as needed, and are not limited to the aspects of the examples of the present disclosure.
[0072] In some exemplary embodiments, the multiple cells to be selected include N cells, that is, from all L co-frequency cells at one frequency point, N co-frequency cells at the frequency point are selected according to historical measurement information as the cells to be selected; N is an integer greater than 1, and L is an integer greater than or equal to N.
[0073] In some exemplary embodiments, N=3 or 4. N is determined according to the configuration of the same-frequency cells of the system, and is not limited to the specific aspects of the examples of the present disclosure.
[0074] In some exemplary embodiments, Figure 3 As shown, step 220 includes: for each cell to be selected, performing the following steps respectively:
[0075] Step 2201, obtaining a reference signal of the cell to be selected;
[0076] Step 2202, performing rectangular window filtering according to the time domain impulse response of the reference signal to determine the signal energy within the window and the signal energy outside the window;
[0077] Step 2203: Determine the latest cell signal quality information corresponding to the cell to be selected according to the signal energy within the window and the signal energy outside the window.
[0078] In some exemplary embodiments, step 2202 includes:
[0079] According to a set first threshold, a rectangular window filter is performed on the time domain impulse response of the reference signal, and a maximum rectangular window filter result is selected as the signal energy in the window;
[0080] The signal energy outside the window is determined according to the signal energy within the window and the total energy of the reference signal.
[0081] In some exemplary embodiments, the plurality of cells to be selected include N cells, assuming that the signal model is
[0082]
[0083] Among them, h i and i They respectively represent the actual channel response and the transmitted reference sequence of the ith cell among the N cells to be selected, and n represents the system white noise.
[0084] Accordingly, step 2201 performed for each cell includes:
[0085] Use the received data as the reference signal of the cell to descramble and obtain the reference signal r of the cell k :
[0086]
[0087] Among them, r k To obtain the reference signal of cell k after descrambling, s′ k is the initialization sequence for descrambling of the cell k, n′ is the system white noise after descrambling; k=1,…,N.
[0088] Executing step 2201 includes:
[0089] Perform inverse fast Fourier transform (IFFT) on the descrambling result to the time domain to obtain the time domain impulse response:
[0090] h k =IFFT(r k )
[0091] Among them, h k is the reference signal r of the cell k k The corresponding time domain impulse response; IFFT(·) is the inverse fast Fourier transform;
[0092] According to the set first threshold L, the time domain impulse response in the entire IFFT is subjected to rectangular window filtering, and the maximum rectangular window filtering result is selected as the signal energy in the window:
[0093]
[0094] Among them, R k is the signal energy in the window of the cell k;
[0095] Determine the signal energy outside the window according to the signal energy within the window and the total energy of the reference signal:
[0096] N k =P k -R k
[0097] Among them, N k is the signal energy outside the window of the cell k, P k is the total energy of the reference signal of cell k.
[0098] It should be noted that the signal energy within the window is also called the signal power sum within the window, the signal energy outside the window is also called the signal power sum outside the window, and the total energy is also called the signal power sum.
[0099] In some exemplary embodiments, executing step 2203 includes: determining an instantaneous signal quality assessment factor according to the following formula, and using the instantaneous signal quality assessment factor as the latest cell signal quality information of the cell:
[0100] RN k =R k / N k
[0101] Among them, RN k is the instantaneous signal quality assessment factor of the cell k.
[0102] In some exemplary embodiments, Figure 4 As shown, step 230 includes: for each cell to be selected, performing the following steps:
[0103] Step 230_10, performing normalization filtering processing according to the historical measurement information of the cell to be selected and the corresponding latest cell signal quality information to obtain a filtering result;
[0104] Step 230_20: When the filtering result is greater than or equal to the second threshold, determine that the intra-frequency cell list includes the cell to be selected;
[0105] Step 230_30, when the filtering result is less than the second threshold, determine that the same-frequency cell list does not include the cell to be selected.
[0106] In some exemplary embodiments, the latest cell signal quality information includes: an instantaneous signal quality assessment factor, and the historical measurement information includes: a signal to interference and noise ratio SINR comprehensive score;
[0107] In some exemplary embodiments, the filtering result in step 230_10 is determined according to the following method:
[0108] Metric k =ζ*RN k / RN+(1-ζ)*SINR k / SINR
[0109] Among them, Metric k is the filtering result of the cell k to be selected, ζ is the set filtering parameter, RN k is the instantaneous signal quality assessment factor corresponding to the cell k to be selected, RN is the sum of the instantaneous signal quality assessment factors of all cells to be selected, SINR k is the SINR comprehensive score of the signal to interference and noise ratio corresponding to the cell k to be selected, where SINR is the sum of the SINR comprehensive scores of the signal to interference and noise ratios of all cells to be selected; RN k =R k / N k , R k is the signal energy in the window of the cell k to be selected, N k is the signal energy outside the window of the cell k to be selected.
[0110] In some exemplary embodiments, Figure 5 As shown, step 230 includes:
[0111] Step 230_11, determining the sum of the SINR comprehensive scores of all the cells to be selected, and determining the sum of the instantaneous signal quality evaluation factors of all the cells to be selected;
[0112] Step 230_21, performing normalization filtering processing on the SINR comprehensive score and instantaneous signal quality assessment factor of each cell to be selected;
[0113] Step 230_31, determining a false interfering cell according to the normalized filtering processing result of each cell to be selected;
[0114] Step 230_41, eliminate false interference cells and determine the list of cells with the same frequency.
[0115] Among them, the sum of the comprehensive SINR scores of all cells to be selected
[0116] The sum of the instantaneous signal quality evaluation factors of all cells to be selected
[0117] Step 230_21 performs normalized filtering processing on the SINR comprehensive score and instantaneous signal quality assessment factor of each cell to be selected according to the following method:
[0118] Metric k =ζ*RN k / RN+(1-ζ)*SINR k / SINR
[0119] k represents one of N cells to be selected, k=1,…,N.
[0120] It should be noted that the filtering here needs to be completed in the same cell and is a linear value filtering.
[0121] In some exemplary embodiments, the selection of the filter parameter ζ can be determined with reference to the actual scenario. One method is to refer to the actual measurement period and the gap between the time point at which interference elimination is currently required and the time point of the last measurement. For example, in a 5ms measurement period, ζ can be selected as a value of about 0.5. For another example, when the measurement period is 160ms, ζ can be selected as 0.875. Specific aspects are not limited to the aspects exemplified in the present disclosure.
[0122] Step 230_31 includes: filtering the Metric of each cell to be selected k With the second threshold T set metric For comparison, if Metric k <T metric , then cell k is determined to be a false interference cell and will not appear in the interference list, and it is finally determined that the cell list does not include the false interference cell.
[0123] Step 230_41 includes: removing the false interference cell from the N cells to be selected to obtain a final co-frequency cell list, which will be used in the subsequent interference elimination algorithm. That is, one or more non-false interference cells are selected from the N cells to be selected to determine the cell list for interference elimination.
[0124] It can be seen that in step 230, combined with the latest cell signal quality information of each cell, the false interference cell with high measurement value in the historical measurement information but low actual interference power is identified so that it does not participate in the subsequent interference elimination algorithm, which can effectively save the power consumption of the receiver.
[0125] In some exemplary embodiments, step 230 further includes:
[0126] According to the filtering result of each cell in the intra-frequency cell list, the cells in the intra-frequency cell list are arranged according to a set sorting method.
[0127] In some exemplary embodiments, the set sorting method is in reverse order, that is, the cells in the same-frequency cell list are sorted in reverse order according to the filtering results, that is, the cell with the largest Metric is arranged in front of the final determined same-frequency cell list. The cell with a larger Metric in the filtering result is regarded as a cell with stronger interference. In some exemplary embodiments, the cells that are determined to have weak interference according to the historical measurement list but have strong interference according to the filtering results are called potential strong interference cells.
[0128] It can be understood that according to step 230 of the embodiment of the present disclosure, combined with the latest cell signal quality information of each cell, the cells with low measurement values in the historical measurement information but actually belonging to strong interference are identified and placed at the front of the cell list, which can improve the performance of the interference elimination algorithm. The false interference cells with low interference power are identified so that they do not participate in the subsequent interference elimination algorithm, which can effectively save the power consumption of the receiver.
[0129] In some exemplary embodiments, the method further includes: step 240, executing an interference cancellation algorithm according to the co-frequency cell list.
[0130] It should be noted that the co-frequency cell list determined in steps 210-230 according to the embodiment of the present disclosure is applicable to various interference elimination algorithms, such as co-frequency interference elimination algorithms based on time domain and frequency domain.
[0131] The embodiment of the present disclosure also provides a device 60 for determining a same-frequency cell list, such as Figure 6 As shown, including:
[0132] A historical measurement information acquisition module 610 is configured to determine a plurality of cells to be selected based on historical measurement information of cells in the same frequency band;
[0133] The latest cell signal quality acquisition module 620 is configured to acquire the latest cell signal quality information corresponding to each of the multiple cells to be selected;
[0134] The determination module 630 is configured to determine the co-frequency cell list according to the historical measurement information of the multiple cells to be selected and the corresponding latest cell signal quality information.
[0135] It can be seen that the determination module 630 makes a comprehensive decision based on the historical measurement information and the latest cell signal quality information to determine the final co-frequency cell list for the subsequent interference elimination algorithm.
[0136] The present disclosure also provides a communication chip, including a processor, wherein the processor is configured to:
[0137] Determine multiple cells to be selected based on historical measurement information of cells with the same frequency;
[0138] Obtaining the latest cell signal quality information corresponding to each of the multiple cells to be selected;
[0139] The co-frequency cell list is determined according to the historical measurement information of the multiple cells to be selected and the corresponding latest cell signal quality information.
[0140] The present disclosure also provides a mobile terminal, including a communication chip, wherein the communication chip is configured to execute:
[0141] Determine multiple cells to be selected based on historical measurement information of cells with the same frequency;
[0142] Obtaining the latest cell signal quality information corresponding to each of the multiple cells to be selected;
[0143] The co-frequency cell list is determined according to the historical measurement information of the multiple cells to be selected and the corresponding latest cell signal quality information.
[0144] An embodiment of the present disclosure further provides a computer-readable storage medium having a computer program stored thereon, wherein when the program is executed by a processor, the method for determining a same-frequency cell list as described in any embodiment of the present disclosure is implemented.
[0145] The co-frequency cell list determination scheme provided by the embodiment of the present disclosure makes a comprehensive judgment based on two types of information: historical measurement information and the latest cell signal quality information, to determine the final co-frequency cell list, which can effectively and accurately evaluate the actual interference scenario. Identifying potential strong interference cells that cannot be reflected in the historical measurement list can improve the performance of the subsequent interference elimination algorithm; identifying false interference cells with high measurement values in the measurement list but low actual interference power can effectively save receiver power consumption. Compared with traditional methods, the robustness of the co-frequency interference elimination usage scenario is greatly improved.
[0146] The same-frequency cell list determination solution provided by the present disclosure is not only applicable to the NR system, but can also be flexibly applied to other wireless communication systems as an important support for the same-frequency interference elimination solution.
[0147] It will be appreciated by those skilled in the art that all or some of the steps, systems, and functional modules / units in the methods disclosed above may be implemented as software, firmware, hardware, and appropriate combinations thereof. In hardware implementations, the division between the functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed by several physical components in cooperation. Some or all components may be implemented as software executed by a processor, such as a digital signal processor or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or non-transitory medium) and a communication medium (or temporary medium). As known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. In addition, it is well known to those skilled in the art that communication media typically contain computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.
[0148] The above description is only a preferred embodiment of the present application scheme, and does not limit the patent scope of the present application. All equivalent structural changes made based on the concept of the present application scheme and the contents of the present application specification and drawings, or direct / indirect application in other related technical fields are included in the patent protection scope of the present application.
Claims
1. A method for determining a same-frequency cell list, characterized in that: include: Determine multiple cells to be selected based on historical measurement information of cells with the same frequency; Obtaining the latest cell signal quality information corresponding to each of the multiple cells to be selected; Determine the same-frequency cell list according to the historical measurement information of the multiple cells to be selected and the corresponding latest cell signal quality information; The determining of the co-frequency cell list according to the historical measurement information of the plurality of cells to be selected and the corresponding latest cell signal quality information includes: For each cell to be selected, perform the following steps: Perform normalization filtering processing according to the historical measurement information of the cell to be selected and the corresponding latest cell signal quality information to obtain a filtering result; When the filtering result is greater than or equal to the second threshold, determining that the intra-frequency cell list includes the cell to be selected; When the filtering result is less than the second threshold, determining that the intra-frequency cell list does not include the cell to be selected; The latest cell signal quality information includes: instantaneous signal quality assessment factor, and the historical measurement information includes: signal to interference and noise ratio comprehensive score; The filtering result of the cell to be selected is determined according to the following method: Metric k =ζ*RN k / RN+(1-ζ)*SINR k / SINR Among them, Metric k is the filtering result of the cell k to be selected, ζ is the set filtering parameter, RN k is the instantaneous signal quality assessment factor corresponding to the cell k to be selected, RN is the sum of the instantaneous signal quality assessment factors of all cells to be selected, SINR k is the signal to interference noise ratio comprehensive score corresponding to the cell k to be selected, and SINR is the sum of the signal to interference noise ratio comprehensive scores of all cells to be selected; RN k =R k / N k , R k is the signal energy in the window of the cell k to be selected, N k is the signal energy outside the window of the cell k to be selected.
2. The method according to claim 1, characterized in that The obtaining the latest cell signal quality information corresponding to each of the plurality of cells to be selected includes: For each cell to be selected, perform the following steps respectively: Acquiring a reference signal of the cell to be selected; Performing rectangular window filtering according to the time domain impulse response of the reference signal to determine the signal energy within the window and the signal energy outside the window; The latest cell signal quality information corresponding to the cell to be selected is determined according to the signal energy within the window and the signal energy outside the window.
3. The method according to claim 2, characterized in that The performing rectangular window filtering according to the time domain impulse response of the reference signal to determine the signal energy within the window and the signal energy outside the window includes: According to a set first threshold, a rectangular window filter is performed on the time domain impulse response of the reference signal, and a maximum rectangular window filter result is selected as the signal energy in the window; The signal energy outside the window is determined according to the signal energy within the window and the total energy of the reference signal.
4. The method according to any one of claims 1 to 3, characterized in that: The historical measurement information includes: signal to interference noise ratio and / or reference signal reception strength comprehensive score; The determining of a plurality of cells to be selected according to historical measurement information of cells in the same frequency includes: Determine a comprehensive score of the signal to interference and noise ratio and / or the reference signal reception strength of each co-frequency cell according to at least one historical measurement of the signal to interference and noise ratio and / or the reference signal reception strength of each co-frequency cell; The multiple cells to be selected are determined according to the signal to interference noise ratio and / or the comprehensive score of the reference signal reception strength of each co-frequency cell.
5. A device for determining a same-frequency cell list, characterized in that: include: A historical measurement information acquisition module, configured to determine a plurality of cells to be selected based on historical measurement information of cells in the same frequency band; The latest cell signal quality acquisition module is configured to acquire the latest cell signal quality information corresponding to each of the multiple cells to be selected; A determination module, configured to determine the same-frequency cell list according to the historical measurement information of the multiple cells to be selected and the corresponding latest cell signal quality information; The determining module determines the same-frequency cell list according to the historical measurement information of the multiple cells to be selected and the corresponding latest cell signal quality information, including: For each cell to be selected, perform the following steps: Perform normalization filtering processing according to the historical measurement information of the cell to be selected and the corresponding latest cell signal quality information to obtain a filtering result; When the filtering result is greater than or equal to the second threshold, determining that the intra-frequency cell list includes the cell to be selected; When the filtering result is less than the second threshold, determining that the intra-frequency cell list does not include the cell to be selected; The latest cell signal quality information includes: instantaneous signal quality assessment factor, and the historical measurement information includes: signal to interference and noise ratio comprehensive score; The filtering result of the cell to be selected is determined according to the following method: Metric k =ζ*RN k / RN+(1-ζ)*SINR k / SINR Among them, Metric k is the filtering result of the cell k to be selected, ζ is the set filtering parameter, RN k is the instantaneous signal quality assessment factor corresponding to the cell k to be selected, RN is the sum of the instantaneous signal quality assessment factors of all cells to be selected, SINR k is the signal to interference noise ratio comprehensive score corresponding to the cell k to be selected, and SINR is the sum of the signal to interference noise ratio comprehensive scores of all cells to be selected; RN k =R k / N k , R k is the signal energy in the window of the cell k to be selected, N k is the signal energy outside the window of the cell k to be selected.
6. A communication chip, characterized in that: comprising a processor configured to: Determine multiple cells to be selected based on historical measurement information of cells with the same frequency; Obtaining the latest cell signal quality information corresponding to each of the multiple cells to be selected; Determine a co-frequency cell list according to the historical measurement information of the multiple cells to be selected and the corresponding latest cell signal quality information; The determining of the same-frequency cell list according to the historical measurement information of the multiple cells to be selected and the corresponding latest cell signal quality information includes: For each cell to be selected, perform the following steps: Perform normalization filtering processing according to the historical measurement information of the cell to be selected and the corresponding latest cell signal quality information to obtain a filtering result; When the filtering result is greater than or equal to the second threshold, determining that the intra-frequency cell list includes the cell to be selected; When the filtering result is less than the second threshold, determining that the intra-frequency cell list does not include the cell to be selected; The latest cell signal quality information includes: instantaneous signal quality assessment factor, and the historical measurement information includes: signal to interference and noise ratio comprehensive score; The filtering result of the cell to be selected is determined according to the following method: Metric k =ζ*RN k / RN+(1-ζ)*SINR k / SINR Among them, Metric k is the filtering result of the cell k to be selected, ζ is the set filtering parameter, RN k is the instantaneous signal quality assessment factor corresponding to the cell k to be selected, RN is the sum of the instantaneous signal quality assessment factors of all cells to be selected, SINR k is the signal to interference noise ratio comprehensive score corresponding to the cell k to be selected, and SINR is the sum of the signal to interference noise ratio comprehensive scores of all cells to be selected; RN k =R k / N k , R k is the signal energy in the window of the cell k to be selected, N k is the signal energy outside the window of the cell k to be selected.
7. A mobile terminal, characterized in that: A communication chip is included, wherein the communication chip is configured to perform: Determine multiple cells to be selected based on historical measurement information of cells with the same frequency; Obtaining the latest cell signal quality information corresponding to each of the multiple cells to be selected; Determine a co-frequency cell list according to the historical measurement information of the multiple cells to be selected and the corresponding latest cell signal quality information; The determining of the same-frequency cell list according to the historical measurement information of the multiple cells to be selected and the corresponding latest cell signal quality information includes: For each cell to be selected, perform the following steps: Perform normalization filtering processing according to the historical measurement information of the cell to be selected and the corresponding latest cell signal quality information to obtain a filtering result; When the filtering result is greater than or equal to the second threshold, determining that the intra-frequency cell list includes the cell to be selected; When the filtering result is less than the second threshold, determining that the intra-frequency cell list does not include the cell to be selected; The latest cell signal quality information includes: instantaneous signal quality assessment factor, and the historical measurement information includes: signal to interference and noise ratio comprehensive score; The filtering result of the cell to be selected is determined according to the following method: Metric k =ζ*RN k / RN+(1-ζ)*SINR k / SINR Among them, Metric k is the filtering result of the cell k to be selected, ζ is the set filtering parameter, RN k is the instantaneous signal quality assessment factor corresponding to the cell k to be selected, RN is the sum of the instantaneous signal quality assessment factors of all cells to be selected, SINR k is the signal to interference noise ratio comprehensive score corresponding to the cell k to be selected, and SINR is the sum of the signal to interference noise ratio comprehensive scores of all cells to be selected; RN k =R k / N k , R k is the signal energy in the window of the cell k to be selected, N k is the signal energy outside the window of the cell k to be selected.
8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for determining a same-frequency cell list as described in any one of claims 1 to 4 is implemented.
Citation Information
Patent Citations
Method and apparatus for eliminating co-channel interference
CN103428872A