Method, device, equipment, medium and program for processing measurement information between time slots

Abstract

The invention relates to the technical field of wireless communication, and provides a method, a device, equipment, a medium and a program for processing measurement information between time slots, and the method comprises the steps: obtaining original measurement information and corresponding gain values of a current time slot and a historical time slot; for the original measurement information needing gain conversion, converting the original measurement information into a reference gain in the current time slot gain and the historical time slot gain according to a gain value, and generating conversion measurement information; performing smooth filtering based on the converted measurement information, storing filtering output information of the historical time slot, and obtaining filtering measurement information based on the filtering output information of the historical time slot; the filtering measurement information is an output result of a physical layer of the wireless communication system; and detecting the gain value change of the adjacent time slots in the process of executing the smooth filtering, and resetting the filtering output information of the historical time slots when the gain value change exceeds a threshold. The method is used for gain normalization and adaptive filtering processing of measurement information between time slots in physical layer cell measurement of a wireless communication system.

Description

Technical Field

[0001] This invention relates to the field of wireless communication technology, and in particular to a method, apparatus, device, medium, and program for processing measurement information between time slots. Background Technology

[0002] In physical layer measurement technologies for wireless communication systems, terminals need to perform cross-time-slot fusion processing on reference signal measurement information from multiple time slots, such as Received Signal Strength Indicator (RSSI) and Reference Signal Received Power (RSRP), to improve measurement reliability. Existing technologies generally employ direct averaging or fixed-coefficient recursive filtering to process inter-time-slot measurement data, implicitly assuming that "the gain of the reference signal in each time slot is constant and consistent." However, in real-world networks, the reference signal gain dynamically changes: base stations adjust transmit power according to scheduling strategies, such as power back-off in energy-saving modes or using different beamforming configurations, such as gain differences during beam scanning, or using different reference signal types in different time slots, such as the power offset between the Cell-specific Reference Signal (CRS) and the Synchronization Signal Block (SSB). This dynamic characteristic fundamentally conflicts with the implicit assumptions of existing algorithms, leading to systematic biases introduced when raw measurement information without gain correction participates in accumulation or filtering due to physical scale inconsistencies. To maintain filtering continuity, existing methods require caching raw measurement data from multiple historical time slots, increasing terminal storage resource overhead. When the gain of adjacent time slots changes abruptly, the filter still uses historical states that are mismatched with the current channel conditions, causing the output results to be interfered with by invalid historical data, resulting in convergence delays. The root cause of these defects lies in the disconnect between the processing algorithm and dynamic gain configuration. Existing technologies neither incorporate the gain value as a key input variable into the processing logic nor establish a linkage mechanism between gain changes and the management of filtering output information from historical time slots, thus limiting measurement accuracy and system adaptability in dynamic air interface environments and resource-constrained terminals.

[0003] Therefore, there is an urgent need for a method, apparatus, equipment, medium, and program for processing measurement information between time slots to improve the above-mentioned problems. Summary of the Invention

[0004] This invention provides a method, apparatus, device, medium, and program for processing inter-slot measurement information. This invention is used for gain normalization and adaptive filtering of inter-slot measurement information in physical layer cell measurements of wireless communication systems.

[0005] According to a first aspect of the present invention, a method for processing inter-slot measurement information is provided. The method includes: acquiring original measurement information and corresponding gain values ​​of the current time slot and historical time slots; for the original measurement information requiring gain conversion, converting the gain values ​​to a reference gain in the current time slot and historical time slot gains to generate converted measurement information; performing smoothing filtering based on the converted measurement information, saving the filtered output information of historical time slots, and obtaining filtered measurement information based on the filtered output information of historical time slots; the filtered measurement information is the output result of the physical layer of the wireless communication system; detecting changes in the gain values ​​of adjacent time slots during the smoothing filtering process, and resetting the filtered output information of historical time slots when the change in gain values ​​exceeds a threshold.

[0006] In one embodiment, the reference gain calculated based on the gain value in the current time slot and the historical time slot gain includes: comparing the gain value of the current time slot with the gain value of the historical time slot; when the gain value of the current time slot is less than the gain value of the historical time slot, determining the gain value of the current time slot as the reference gain; when the gain value of the current time slot is greater than the gain value of the historical time slot, determining the gain value of the historical time slot as the reference gain.

[0007] In one implementation, the process of performing smoothing filtering includes: detecting whether a measurement cycle has started; and when a new measurement cycle is detected to have started, resetting the filtering output information of the historical time slot.

[0008] In one implementation, the raw measurement information that needs to be gain-converted includes at least one of received signal strength indication, reference signal received power, and noise power.

[0009] In one implementation, obtaining the original measurement information of the current time slot and historical time slots includes: for each time slot, obtaining the channel estimate of each pilot symbol in the time slot, calculating the measurement information of each pilot symbol based on the channel estimate, and averaging the measurement information of each pilot symbol with the same gain in the same time slot to obtain the original measurement information of the time slot.

[0010] In one embodiment, generating converted measurement information based on a reference gain calculated from the gain value of the current time slot and the historical time slots further includes: when the gain value of the current time slot is less than or equal to the gain value of the historical time slots, calculating the gain value of the current time slot divided by the gain value of the historical time slots to obtain a first ratio, and multiplying the original measurement information of the historical time slots by the first ratio to obtain the converted measurement information of the historical time slots; when the gain value of the current time slot is greater than the gain value of the historical time slots, calculating the gain value of the historical time slot divided by the gain value of the current time slot to obtain a second ratio, and multiplying the original measurement information of the current time slots by the second ratio to obtain the converted measurement information of the current time slots; the converted measurement information is used to eliminate the dimensional differences between the measurement information of the current time slots and the historical time slots caused by gain differences, so as to support cross-time slot smoothing filtering processing.

[0011] In one embodiment, the process of performing smoothing filtering includes: setting the initial value of the number of filtering iterations to 1; determining the effective number of filtering iterations based on the number of filtering iterations and a configurable upper limit for the number of filtering iterations, wherein the effective number of filtering iterations is the smaller value between the number of filtering iterations and the upper limit for the number of filtering iterations; determining a first filtering coefficient as the reciprocal of the effective number of filtering iterations, and determining a second filtering coefficient as 1 minus the first filtering coefficient; performing smoothing filtering based on the converted measurement information, and saving the filtering output information of historical time slots, including: multiplying the first filtering coefficient by the converted measurement information of the current time slot, multiplying the second filtering coefficient by the filtering output information of the historical time slots, adding the two products to obtain the current filtering output, and updating the current filtering output to the filtering output information of the historical time slots.

[0012] According to a second aspect of the present invention, a processing apparatus for inter-slot measurement information is provided, used in any of the methods of the first aspect. The apparatus includes: an information acquisition unit, configured to acquire original measurement information and corresponding gain values ​​of the current time slot and historical time slots; a gain reduction unit, configured to generate reduced measurement information by reducing the gain value to a reference gain in the current time slot and historical time slot gains for the original measurement information requiring gain reduction; a filtering unit, configured to perform smoothing filtering based on the reduced measurement information, save the filtered output information of historical time slots, and obtain filtered measurement information based on the filtered output information of historical time slots; the filtered measurement information is the output result of the physical layer of a wireless communication system; a detection unit, configured to detect changes in gain values ​​of adjacent time slots during the smoothing filtering process; and a reset unit, configured to reset the filtered output information of historical time slots when the gain value change exceeds a threshold.

[0013] According to a third aspect of the present invention, an electronic device is provided, including a memory and a processor, wherein the memory is used to store a computer program executable by the processor; and the processor is used to execute the computer program in the memory to implement the method described above.

[0014] According to a fourth aspect of the present invention, a computer-readable storage medium is provided having a computer program stored thereon, characterized in that the above-described method can be implemented when the executable computer program in the storage medium is executed by a processor.

[0015] According to a fifth aspect of the present invention, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the method described above.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention generates converted measurement information by converting the original measurement information that needs to be converted to the reference gain in the current time slot and the historical time slot gain according to its corresponding gain value, so that the measurement information of the current time slot and the historical time slot have additiveness under a unified gain scale, thus solving the problem of dimension inconsistency caused by the gain difference between time slots; Based on the converted measurement information, smoothing filtering is performed and the filtering output information of the historical time slot is saved. The filtered measurement information is obtained by using the filtering output information of the historical time slot. This process suppresses the random fluctuation of a single measurement through filtering operation, and only needs to maintain the filtering output information variable of a single historical time slot without caching the original measurement data of each historical time slot, thus reducing the consumption of storage resources; During the smoothing filtering process, the gain value change of adjacent time slots is detected. When the change exceeds the threshold, the filtering output information of the historical time slot is reset, so that the filtering process is removed from the historical state that is mismatched with the current measurement conditions, thus avoiding the interference of historical data on subsequent filtering outputs. The above steps sequentially achieve uniformity of measurement data scale, noise suppression and resource optimization, and adaptive state adjustment under abrupt gain changes, thereby improving the data consistency and dynamic adaptability of cross-time slot measurement information processing and reducing resource consumption. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating a method for processing inter-slot measurement information according to an exemplary embodiment.

[0018] Figure 2 This is a structural block diagram of a time-slot measurement information processing device according to an exemplary embodiment.

[0019] Figure 3 A block diagram of an electronic device is shown according to an exemplary embodiment.

[0020] Explanation of the reference numerals in the figure:

[0021] 1. Processing device for measurement information between time slots; 2. Information acquisition unit; 3. Gain conversion unit; 4. Filtering unit; 5. Detection unit; 6. Reset unit; 900. Electronic device; 922. Processing component; 926. Power supply component; 932. Memory; 950. Network interface; 958. Input / output interface. Detailed Implementation

[0022] Unless otherwise defined, the technical or scientific terms used in this specification should have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. Specific embodiments of the invention will be described below with reference to the accompanying drawings. It should be noted that, in order to provide a concise description, this specification cannot provide a detailed description of all features of the actual embodiments. Without departing from the spirit and scope of the invention, those skilled in the art can make modifications and substitutions to the embodiments of the invention, and the resulting embodiments are also within the protection scope of the invention.

[0023] In related technologies, existing measurement methods mostly focus on optimizing the measurement accuracy of a single pilot symbol, while paying insufficient attention to the collaborative processing mechanism of measurement information within and between time slots in the physical layer measurement cycle. The processing logic within a time slot is relatively clear: because the gain configuration of each pilot symbol within a single time slot is consistent, and the number of reference signal pilot symbols is constrained by the protocol, such as no more than 4 CRS pilot symbols in a single time slot in the Long Term Evolution (LTE) system, and the number of SSB or Demodulation Reference Signal (DMRS) pilot symbols in the Fifth Generation New Radio (5G NR) system is also limited, the measurement information of multiple pilot symbols can be directly accumulated and averaged. The bit width of the accumulated result only needs to be extended by a small number of bits (such as 2 bits) on the basis of the single symbol measurement bit width to adapt to the dynamic range. However, inter-slot processing faces core challenges: the number of time slots in the measurement period is uncertain, and the reference signal gain of different time slots often changes dynamically due to differences in base station power scheduling, beam configuration, or reference signal type; for absolute intensity measurement information (such as signal power, RSSI, RSRP, and noise power), their values ​​are directly affected by the gain and are at different physical scales, making it impossible to directly accumulate or average across time slots.

[0024] Relative value measurements such as Reference Signal Received Quality (RSRQ) and Signal to Interference plus Noise Ratio (SINR) are not included here because they have already been normalized. Existing technologies lack a mechanism to explicitly incorporate gain variables into the processing flow, resulting in inherent defects such as dimensional mismatch, resource redundancy, and state mismatch in cross-time slot measurement fusion.

[0025] like Figure 1As shown, the first embodiment of the present invention provides a method for processing inter-slot measurement information, the method comprising the following steps S1-S4: S1: Obtain the raw measurement information and corresponding gain values ​​of the current time slot and historical time slots.

[0026] S2, for the original measurement information that needs to be converted to gain, converts the gain value to the reference gain in the current time slot and the historical time slot gain, and generates converted measurement information.

[0027] S3, perform smoothing filtering based on the converted measurement information, save the filtering output information of the historical time slots, and obtain the filtering measurement information based on the filtering output information of the historical time slots; the filtering measurement information is the output result of the physical layer of the wireless communication system.

[0028] S4 detects the gain value change of adjacent time slots during the smoothing filtering process. When the gain value change exceeds the threshold, the filtering output information of the historical time slot is reset.

[0029] In one embodiment, the reference gain calculated based on the gain value in the current time slot and the historical time slot gain includes: comparing the gain value of the current time slot with the gain value of the historical time slot; when the gain value of the current time slot is less than the gain value of the historical time slot, determining the gain value of the current time slot as the reference gain; when the gain value of the current time slot is greater than the gain value of the historical time slot, determining the gain value of the historical time slot as the reference gain.

[0030] In some specific embodiments, in cross-timeslot measurement information processing, the input variables include the measurement information of the current time slot and historical time slots and their corresponding gain values. Since the reference signal gain configurations differ across time slots—including base station power scheduling, beamforming switching, or changes in reference signal type—absolute strength measurement information such as signal power, Received Signal Strength Indication (RSSI), Reference Signal Received Power (RSRP), and noise power are directly affected by the gain and exist at different physical scales, requiring gain conversion. Relative value measurement information such as Reference Signal Received Quality (RSRQ) and Signal-to-Interference-plus-Noise Ratio (SINR) do not require conversion since they have already been normalized. The conversion process uses the smaller of the current and historical time slot gains as a benchmark: after comparing the two gain values ​​to determine the benchmark gain, the measurement information of the time slot with the larger gain value is multiplied by the ratio of the benchmark gain to the gain value of that time slot to generate the converted measurement information. In this scheme, the conversion ratio is always no greater than 1, requiring only numerical reduction of the measurement information without expanding the bit width of the fixed-point representation, effectively avoiding overflow and clipping risks in fixed-point arithmetic.

[0031] In one implementation, the process of performing smoothing filtering includes: detecting whether a measurement cycle has started; and when a new measurement cycle is detected to have started, resetting the filtering output information of the historical time slot.

[0032] In some specific embodiments, during the smoothing filtering process, the system monitors the changes in the period boundary of the measurement period start identifier or time slot index configured by the system. When the measurement period start identifier is detected to be valid or the time slot index indicates the start of a new period, the filtered output information of the historical time slot is updated to the converted measurement information of the current time slot, and the number of filters is reset to the initial value of 1, so that subsequent filtering processing is based on the starting state of the current measurement period.

[0033] In one implementation, the raw measurement information that needs to be gain-converted includes at least one of received signal strength indication, reference signal received power, and noise power.

[0034] In some specific embodiments, the original measurement information that needs to be gain-converted includes at least one of the received signal strength indication, the reference signal received power, and the noise power. The measurement information belongs to the absolute strength type of measurement quantity, and its value is an unnormalized physical power value. It is linearly positively correlated with the reference signal gain, that is, the measurement value increases proportionally when the gain increases and decreases proportionally when the gain decreases. Therefore, when processing across time slots, it is necessary to convert it to a unified reference gain scale according to the corresponding gain value in order to eliminate the inconsistency of physical dimensions caused by the difference in gain configuration between time slots.

[0035] In one implementation, obtaining the original measurement information of the current time slot and historical time slots includes: for each time slot, obtaining the channel estimate of each pilot symbol in the time slot, calculating the measurement information of each pilot symbol based on the channel estimate, and averaging the measurement information of each pilot symbol with the same gain in the same time slot to obtain the original measurement information of the time slot.

[0036] In some specific embodiments, obtaining the original measurement information of the current time slot and historical time slots includes: for each time slot, obtaining the channel estimate of each pilot symbol in the time slot, and calculating the measurement information of each pilot symbol based on the channel estimate. The measurement information calculation can employ well-known methods in the art, such as frequency domain correlation, time domain denoising, or channel estimation filtering. Since the gain configuration of each pilot symbol in the same time slot remains consistent, the measurement information of all pilot symbols in the time slot is accumulated and averaged to obtain the original measurement information of the time slot. The accumulation process only requires a small bit width expansion. For example, in a single time slot containing no more than 4 CRS pilot symbols or no more than 2 SSB / In the typical configuration of DMRS pilot symbols, the dynamic range requirement can be met by increasing the bit width of the accumulated result by 2 bits compared to the bit width of the single symbol measurement. In a measurement cycle containing multiple time slots, the raw measurement information of the current time slot and the historical time slot is processed by recursive smoothing filtering. This filtering mechanism achieves cross-time slot data fusion by maintaining the filtered output information of the current historical time slot and the filtered output information of the historical time slot, which is equivalent to simulating the effect of multi-time slot accumulation and averaging. At the same time, only two sets of buffer space are needed to store the filtered output information of the current and historical time slots respectively, avoiding the need to allocate storage resources separately for each historical time slot, thereby reducing the system storage overhead.

[0037] In one embodiment, generating converted measurement information based on a reference gain calculated from the gain value of the current time slot and the historical time slots further includes: when the gain value of the current time slot is less than or equal to the gain value of the historical time slots, calculating the gain value of the current time slot divided by the gain value of the historical time slots to obtain a first ratio, and multiplying the original measurement information of the historical time slots by the first ratio to obtain the converted measurement information of the historical time slots; when the gain value of the current time slot is greater than the gain value of the historical time slots, calculating the gain value of the historical time slot divided by the gain value of the current time slot to obtain a second ratio, and multiplying the original measurement information of the current time slots by the second ratio to obtain the converted measurement information of the current time slots; the converted measurement information is used to eliminate the dimensional differences between the measurement information of the current time slots and the historical time slots caused by gain differences, so as to support cross-time slot smoothing filtering processing.

[0038] It is worth noting that the conversion operation in this embodiment linearly scales the measurement information of the time slot with a larger gain value according to the ratio of the reference gain to the gain value of that time slot. This unifies the measurement information of the current time slot and the historical time slots to the physical scale corresponding to the reference gain, eliminating the inconsistency of dimensions caused by the difference in gain configuration between time slots. This ensures that the input data of cross-time slot smoothing filtering has mathematical additivity and physical consistency. At the same time, since the conversion ratio is always no greater than 1, only the numerical reduction operation needs to be performed. There is no need to expand the bit width of the fixed-point number representation, avoiding the overflow and amplitude limiting risks in fixed-point arithmetic, and ensuring the numerical stability and implementation reliability of the algorithm in hardware resource-constrained scenarios.

[0039] In one embodiment, the process of performing smoothing filtering includes: setting the initial value of the number of filtering iterations to 1; determining the effective number of filtering iterations based on the number of filtering iterations and a configurable upper limit for the number of filtering iterations, wherein the effective number of filtering iterations is the smaller value between the number of filtering iterations and the upper limit for the number of filtering iterations; determining a first filtering coefficient as the reciprocal of the effective number of filtering iterations, and determining a second filtering coefficient as 1 minus the first filtering coefficient; performing smoothing filtering based on the converted measurement information, and saving the filtering output information of historical time slots, including: multiplying the first filtering coefficient by the converted measurement information of the current time slot, multiplying the second filtering coefficient by the filtering output information of the historical time slots, adding the two products to obtain the current filtering output, and updating the current filtering output to the filtering output information of the historical time slots.

[0040] In some specific embodiments, during the smoothing filtering process, the number of filters is maintained. The initial value of the number of filters is 1, and it is incremented by 1 after each time slot filtering is completed. When the reset switch is enabled, the number of filters is reset to 1. The trigger conditions for enabling the reset switch include the gain change of adjacent time slots exceeding a threshold or the start of a new measurement cycle. The effective number of filters is determined based on the number of filters and the configurable upper limit of the number of filters, and the smaller of the two is taken. The first filter coefficient is calculated as the reciprocal of the effective number of filters, and the second filter coefficient is the difference between 1 and the first filter coefficient. The sum of the two values ​​is always 1. The upper limit of the number of filters is a configurable parameter (e.g., 32). When the number of filters does not exceed the upper limit of the number of filters, the filtering operation is equivalent to the arithmetic mean of historical converted measurement information. When the number of filters exceeds the upper limit of the number of filters, the filtering operation is converted to exponential smoothing processing with fixed coefficients.

[0041] In other specific embodiments, during the smoothing filter operation, the first filter coefficient is multiplied by the calculated measurement information of the current time slot, and the second filter coefficient is multiplied by the filtered output information of the historical time slot. The products are then added together to obtain the current filtered output, which is then updated with the filtered output information of the historical time slot. When the reset switch is enabled, the number of filters is reset to the initial value of 1, and the current filtered output directly uses the calculated measurement information of the current time slot. The enabling conditions for the reset switch include: detecting that the gain change of adjacent time slots exceeds a preset configurable threshold (e.g., 30dB), or detecting the start of a new measurement period.

[0042] It is worth noting that in a measurement cycle containing multiple time slots, the measurement information of the current time slot and historical time slots are weighted and fused through smoothing filtering: when the number of filtering iterations does not exceed a preset upper limit, the filtering process is equivalent to the arithmetic mean of the measurement information of multiple time slots, suppressing random fluctuations in a single measurement; at the same time, only two sets of data need to be maintained: the current filter output and the filter output information of historical time slots, avoiding the need to separately cache the original measurement information for each historical time slot, thus reducing storage resource consumption. When a gain change in an adjacent time slot is detected to exceed a threshold or a new measurement cycle begins, the filter output information of the historical time slot is reset, causing the filtering process to break away from the historical state that is mismatched with the current measurement conditions, avoiding interference from invalid historical data to subsequent filter outputs.

[0043] In some specific embodiments, during the smoothing filtering process, the first filter coefficient is multiplied by the calculated measurement information of the current time slot to obtain a first intermediate result, and the second filter coefficient is multiplied by the filter output information of the historical time slot to obtain a second intermediate result; the filter output information of the historical time slot is specifically the filter output saved in the historical time slot; the first intermediate result and the second intermediate result are added to generate the current filter output; then the current filter output is written into the filter output information storage unit of the historical time slot, overwriting the original value, as the filter output information of the historical time slot on which the next time slot filtering process depends.

[0044] According to a second embodiment of the present invention, a processing apparatus 1 for inter-slot measurement information is provided, used in any of the methods described in the above embodiments. The apparatus includes: an information acquisition unit 2, used to acquire the original measurement information and corresponding gain values ​​of the current time slot and historical time slots; a gain conversion unit 3, used to convert the original measurement information requiring gain conversion to a reference gain in the current time slot and historical time slot gains based on the gain values, and generate converted measurement information; a filtering unit 4, used to perform smoothing filtering based on the converted measurement information, save the filtered output information of historical time slots, and obtain filtered measurement information based on the filtered output information of historical time slots; the filtered measurement information is the output result of the physical layer of the wireless communication system; a detection unit 5, used to detect changes in the gain values ​​of adjacent time slots during the smoothing filtering process; and a reset unit 6, used to reset the filtered output information of historical time slots when the gain value change exceeds a threshold.

[0045] In some specific embodiments, the information acquisition unit 2 acquires the channel estimate of each pilot symbol in the current time slot, calculates the measurement information of each pilot symbol based on the channel estimate, and accumulates and averages the measurement information of pilot symbols with the same gain in the same time slot to generate the original measurement information of the current time slot. At the same time, it reads the original measurement information stored in the historical time slot and obtains the corresponding gain value. The gain conversion unit 3 compares the gain value of the current time slot with that of the historical time slot, determines the smaller value as the reference gain, multiplies the original measurement information of the time slot with the larger gain value by the ratio of the reference gain to the gain value of the time slot to generate the converted measurement information, and the original measurement information of the time slot with the smaller gain value is directly output as the converted measurement information. The conversion is only performed on absolute intensity measurement information, and relative value measurement information is directly transmitted because it has been normalized. The filtering unit 4 maintains the number of filters (initial value is 1), and determines the effective number of filters (take the smaller one) according to the number of filters and the configurable upper limit. The detection unit 5 calculates the first filter coefficient (i.e., the reciprocal of the effective filtering count) and the second filter coefficient (1 minus the first filter coefficient). The first filter coefficient is multiplied by the current time slot's converted measurement information, and the second filter coefficient is multiplied by the historical time slot's filtered output information. The products are added together to generate the current filtered output, and this output is updated to the historical time slot's filtered output information. After processing, the filtering count is incremented by 1. During the filtering process, the detection unit 5 calculates the absolute value of the difference between adjacent time slot gain values ​​in real time to determine whether it exceeds the preset configurable gain change threshold. At the same time, it monitors the change of the system measurement cycle start mark or time slot index to identify the start time of the new cycle. When the detection unit 5 determines that the gain change exceeds the threshold or a new cycle begins, the reset unit 6 resets the filtering count to 1 and uses the current time slot's converted measurement information as the current filtered output to synchronously update the historical time slot's filtered output information, so that subsequent filtering processing is reinitialized based on the current effective measurement conditions.

[0046] A third embodiment of the present invention provides an electronic device, including a memory and a processor, wherein the memory is used to store a computer program executable by the processor; and the processor is used to execute the computer program in the memory to implement the method of any of the above embodiments.

[0047] Figure 3 This is a block diagram illustrating an electronic device according to an exemplary embodiment. For example, electronic device 900 may be provided as a server. (Refer to...) Figure 3 The electronic device 900 includes a processing component 922, which further includes one or more processors, and memory resources represented by memory 932 for storing instructions, such as application programs, that can be executed by the processing component 922. The application programs stored in memory 932 may include one or more modules, each corresponding to a set of instructions. Furthermore, the processing component 922 is configured to execute instructions to perform the methods described above.

[0048] Electronic device 900 may also include a power supply component 926 configured to perform power management of electronic device 900, a wired or wireless network interface 950 configured to connect electronic device 900 to a network, and an input / output (I / O) interface 958. Electronic device 900 may operate on an operating system stored in memory 932, such as Windows Server™, MacOS X™, Unix™, Linux™, FreeBSD™, or similar.

[0049] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 932 including instructions, which can be executed by a processing component 922 of an electronic device 900 to perform the above-described method. For example, the non-transitory computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device.

[0050] A fourth embodiment of the present invention provides a readable storage medium storing a program, which, when executed, implements the method of any of the above embodiments.

[0051] The fifth embodiment of the present invention provides a computer program product, including a computer program, which, when executed, implements the method of any of the above embodiments.

[0052] In this invention, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance. The term "multiple" refers to two or more unless otherwise expressly defined.

[0053] The above description of the embodiments is intended to enable those skilled in the art to understand and apply the present invention. It will be apparent to those skilled in the art that various modifications can be made to these embodiments, and the general principles described herein can be applied to other embodiments without creative effort. Therefore, the present invention is not limited to the embodiments described herein, and any improvements and modifications made by those skilled in the art based on the disclosure of the present invention without departing from the scope and spirit of the invention are within the scope of the present invention.

Claims

1. A method for processing measurement information between time slots, characterized in that, The method includes: Obtain the raw measurement information and corresponding gain values ​​for the current and historical time slots; For the original measurement information that requires gain conversion, the gain value is converted to the reference gain between the current time slot and the historical time slot gain to generate converted measurement information; Smoothing filtering is performed based on the calculated measurement information, and the filtering output information of historical time slots is saved. Filtered measurement information is obtained based on the filtering output information of the historical time slots; the filtered measurement information is the output result of the physical layer of the wireless communication system. During the smoothing filtering process, the gain value change of adjacent time slots is detected, and when the gain value change exceeds a threshold, the filtering output information of the historical time slot is reset.

2. The method according to claim 1, characterized in that, The calculation of the reference gain between the current time slot and the historical time slot gain based on the gain value includes: comparing the gain value of the current time slot with the gain value of the historical time slot; when the gain value of the current time slot is less than the gain value of the historical time slot, the gain value of the current time slot is determined as the reference gain; when the gain value of the current time slot is greater than the gain value of the historical time slot, the gain value of the historical time slot is determined as the reference gain.

3. The method according to claim 1, characterized in that, The process of performing the smoothing filter includes: detecting whether a measurement cycle has started; and when a new measurement cycle is detected to have started, resetting the filter output information of the historical time slot.

4. The method according to claim 1, characterized in that, The original measurement information that requires gain conversion includes at least one of the received signal strength indication, the reference signal received power, and the noise power.

5. The method according to claim 1, characterized in that, The step of obtaining the original measurement information of the current time slot and historical time slots includes: for each time slot, obtaining the channel estimate of each pilot symbol in the time slot, calculating the measurement information of each pilot symbol based on the channel estimate, and averaging the measurement information of each pilot symbol with the same gain in the same time slot to obtain the original measurement information of the time slot.

6. The method according to claim 2, characterized in that, Based on the gain value, the reference gain between the current time slot and the historical time slot gain is converted to generate the converted measurement information. The method further includes: when the gain value of the current time slot is less than or equal to the gain value of the historical time slot, calculating the gain value of the current time slot divided by the gain value of the historical time slot to obtain a first ratio, and multiplying the original measurement information of the historical time slot by the first ratio to obtain the converted measurement information of the historical time slot. When the gain value of the current time slot is greater than the gain value of the historical time slot, the gain value of the historical time slot is calculated and divided by the gain value of the current time slot to obtain a second ratio. The original measurement information of the current time slot is multiplied by the second ratio to obtain the converted measurement information of the current time slot. The converted measurement information is used to eliminate the dimensional differences between the measurement information of the current time slot and the historical time slot caused by gain differences, so as to support cross-time slot smoothing filtering processing.

7. The method according to claim 1, characterized in that, The process of performing the smoothing filter includes: setting the initial value of the number of filtering iterations of the smoothing filter to 1; determining the effective number of filtering iterations based on the number of filtering iterations and a configurable upper limit for the number of filtering iterations, wherein the effective number of filtering iterations is the smaller value between the number of filtering iterations and the upper limit for the number of filtering iterations; determining the first filtering coefficient as the reciprocal of the effective number of filtering iterations; and determining the second filtering coefficient as 1 minus the first filtering coefficient. Performing smoothing filtering based on the converted measurement information and saving the filtered output information of historical time slots includes: multiplying the first filtering coefficient with the converted measurement information of the current time slot, multiplying the second filtering coefficient with the filtered output information of the historical time slot, adding the two products to obtain the current filtered output, and updating the current filtered output with the filtered output information of the historical time slot.

8. A processing apparatus for inter-slot measurement information, used in the method according to any one of claims 1 to 7, characterized in that, The device includes: The information acquisition unit is used to acquire the raw measurement information and corresponding gain values ​​of the current time slot and historical time slots; The gain conversion unit is used to convert the original measurement information that needs to be converted to the reference gain between the current time slot and the historical time slot gain, based on the gain value, to generate converted measurement information; The filtering unit is used to perform smoothing filtering based on the calculated measurement information, save the filtering output information of historical time slots, and obtain filtering measurement information based on the filtering output information of historical time slots; the filtering measurement information is the output result of the physical layer of the wireless communication system. A detection unit is used to detect changes in gain values ​​in adjacent time slots during the smoothing filtering process; A reset unit is used to reset the filtered output information of the historical time slot when the change in the gain value exceeds a threshold.

9. An electronic device, characterized in that, The device includes a memory and a processor, wherein the memory stores a computer program executable by the processor; and the processor executes the computer program in the memory to implement the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the executable computer program in the storage medium is executed by a processor, it can implement the method as described in any one of claims 1 to 7.

11. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1 to 7.

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