CN115175240A

CN115175240A - Neighbor cell measuring method, device, equipment and storage medium

Info

Publication number: CN115175240A
Application number: CN202211086168.XA
Authority: CN
Inventors: 徐晓亮; 檀甲甲; 倪海峰; 丁克忠
Original assignee: Nanjing Chuangxin Huilian Technology Co ltd
Current assignee: Nanjing Chuangxin Huilian Technology Co ltd
Priority date: 2022-09-06
Filing date: 2022-09-06
Publication date: 2022-10-11
Anticipated expiration: 2042-09-06
Also published as: CN115175240B

Abstract

The application relates to a method, a device, equipment and a storage medium for measuring adjacent regions. The neighbor cell measurement method comprises the following steps: dividing the bandwidth of a neighboring area to be measured into a plurality of sub-bandwidths; performing neighbor cell measurement according to each sub-bandwidth to obtain an initial measurement result corresponding to each sub-bandwidth; and calculating to obtain a target measurement value of the adjacent cell according to the initial measurement result. Therefore, the adjacent cell measurement is carried out according to each sub-bandwidth, the network bandwidth of each measurement is reduced, the measurement comprehensiveness and the measurement precision are ensured, and meanwhile, the calculation complexity and the working power consumption of the receiver are effectively reduced.

Description

Neighbor cell measurement method, device, equipment and storage medium

Technical Field

The present application relates to the field of mobile communications technologies, and in particular, to a method, an apparatus, a device, and a storage medium for neighbor cell measurement.

Background

In a Long Term Evolution (LTE) system, user Equipment (UE) performs mobility management in cooperation with a base station after residing in a cell. For example, the UE may perform measurement operation on the detected co-frequency and inter-frequency neighboring cells, and process or report the measured value to the base station by itself, so as to implement reselection/handover of the cell. However, existing wideband measurements tend to exacerbate the computational complexity and power consumption of the receiver in the UE.

Disclosure of Invention

In view of this, the present application provides a method, an apparatus, a device and a storage medium for neighbor cell measurement, which can effectively reduce the computational complexity and power consumption of a receiver.

In order to achieve the purpose, the following technical scheme is adopted in the application:

a first aspect of the present application provides a neighbor cell measurement method, including:

dividing the bandwidth of a neighboring area to be measured into a plurality of sub-bandwidths;

performing neighbor cell measurement according to each sub-bandwidth to obtain an initial measurement result corresponding to each sub-bandwidth;

and calculating to obtain a target measurement value of the adjacent cell according to the initial measurement result.

Optionally, the dividing the bandwidth of the neighboring cell to be measured into a plurality of sub-bandwidths includes:

and dividing the bandwidth of the adjacent region to be measured, and determining the position of each sub-bandwidth.

Optionally, the performing, according to each sub-bandwidth, neighboring cell measurement to obtain an initial measurement result corresponding to each sub-bandwidth includes:

and corresponding to each sub-bandwidth, performing adjacent cell measurement based on each CRS respectively to obtain an initial measurement result corresponding to the sub-bandwidth.

Optionally, the performing, for each sub-bandwidth, neighbor cell measurement based on each CRS respectively to obtain an initial measurement result corresponding to the sub-bandwidth, includes:

and in each measurement scheduling period, corresponding to one sub-bandwidth, and respectively carrying out adjacent region measurement based on each CRS to obtain an initial measurement result corresponding to the sub-bandwidth.

and corresponding to each CRS, respectively carrying out adjacent region measurement on each sub-bandwidth to obtain an initial measurement result corresponding to each sub-bandwidth.

Optionally, the performing, for each CRS, neighboring cell measurement on each sub-bandwidth respectively to obtain an initial measurement result corresponding to each sub-bandwidth, includes:

and in each measurement scheduling period, corresponding to one CRS, respectively carrying out adjacent cell measurement on each sub-bandwidth to obtain an initial measurement result corresponding to each sub-bandwidth.

Optionally, the method further includes:

and reporting the target measurement value to a base station when the current measurement reporting period is finished.

A second aspect of the present application provides a neighbor cell measurement apparatus, including:

the dividing module is used for dividing the bandwidth of the adjacent region to be measured into a plurality of sub-bandwidths;

the measurement module is used for carrying out neighbor cell measurement according to each sub-bandwidth to obtain an initial measurement result corresponding to each sub-bandwidth;

and the calculating module is used for calculating to obtain a target measurement value of the adjacent cell according to the initial measurement result.

A third aspect of the present application provides a neighbor cell measurement apparatus, including:

a processor, and a memory coupled to the processor;

the memory is used for storing a computer program;

the processor is configured to invoke and execute the computer program in the memory to perform the method according to the first aspect of the application.

A fourth aspect of the present application provides a storage medium storing a computer program which, when executed by a processor, implements the steps of the neighbor cell measurement method according to the first aspect of the present application.

The technical scheme provided by the application can comprise the following beneficial effects:

in the scheme of the application, firstly, dividing the bandwidth of a neighboring area to be measured into a plurality of sub-bandwidths; performing neighbor cell measurement according to each sub-bandwidth obtained by division to obtain an initial measurement result corresponding to each sub-bandwidth; and finally, calculating to obtain a target measurement value of the adjacent cell according to the initial measurement result. Based on the above processing steps, after the bandwidth of the neighboring cell to be measured is divided, the corresponding initial measurement result can be obtained through a part of the bandwidth of the neighboring cell, that is, the sub-bandwidth, in each measurement scheduling. And calculating a target measurement value of the adjacent cell according to the initial measurement result of each sub-bandwidth, so that the measurement of the bandwidth of the whole cell to be measured can be realized. Therefore, the adjacent cell measurement is carried out according to each sub-bandwidth, the network bandwidth of each measurement is reduced, the measurement comprehensiveness and the measurement precision are ensured, and meanwhile, the calculation complexity and the working power consumption of the receiver are effectively reduced.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.

Fig. 1 is a flowchart of a neighbor cell measurement method according to an embodiment of the present application.

Fig. 2 is a schematic structural diagram of a neighbor cell measurement apparatus according to another embodiment of the present application.

Fig. 3 is a schematic structural diagram of a neighbor cell measurement device according to another embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail below. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present application.

Hereinafter, some terms in the embodiments of the present application are explained to facilitate understanding by those skilled in the art.

1) Terminal equipment, including equipment providing voice and/or data connectivity to a user, in particular, including equipment providing voice to a user, or including equipment providing data connectivity to a user, or including equipment providing voice and data connectivity to a user. For example, may include a handheld device having wireless connection capability, or a processing device connected to a wireless modem. The terminal device may communicate with a core network via a Radio Access Network (RAN), exchange voice or data with the RAN, or interact with the RAN. The terminal device may include a User Equipment (UE), a wireless terminal device, a mobile terminal device, a device-to-device communication (D2D) terminal device, a vehicle-to-all (V2X) terminal device, a machine-to-machine/machine-type communication (M2M/MTC) terminal device, an internet of things (IoT) terminal device, a light terminal device (bright UE), a subscriber unit (subscriber unit), a subscriber station (mobile station), a remote station (remote station), an access point (access point, AP), a remote terminal (remote), an access terminal (access terminal), a user terminal (user), a user agent (user agent), or user equipment (user, etc.). For example, mobile telephones (otherwise known as "cellular" telephones), computers with mobile terminal equipment, portable, pocket, hand-held, computer-included mobile devices, and the like may be included. For example, personal Communication Service (PCS) phones, cordless phones, session Initiation Protocol (SIP) phones, wireless Local Loop (WLL) stations, personal Digital Assistants (PDAs), and the like. Also included are constrained devices, such as devices that consume less power, or devices that have limited storage capabilities, or devices that have limited computing capabilities, etc. Examples of information sensing devices include bar codes, radio Frequency Identification (RFID), sensors, global Positioning Systems (GPS), laser scanners, and the like.

In this embodiment, the terminal device may further include a relay (relay). Or it is to be understood that all that can communicate data with the base station can be considered terminal equipment.

2) A network device, for example, including AN Access Network (AN) device, such as a base station (e.g., AN access point), may refer to a device in AN access network that communicates with a wireless terminal device over one or more cells over AN air interface, or a network device in vehicle-to-all (V2X) technology, for example, a roadside unit (RSU). The base station may be configured to interconvert received air frames and IP packets as a router between the terminal device and the rest of the access network, which may include an IP network. The RSU may be a fixed infrastructure entity supporting V2X applications, and may exchange messages with other entities supporting V2X applications. The network device may also coordinate attribute management for the air interface. For example, the network device may include an evolved Node B (NodeB or eNB or e-NodeB) in a Long Term Evolution (LTE) system or an advanced long term evolution (LTE-a), or may also include a next generation Node B (gNB) in a fifth generation mobile communication technology (5 g) NR system (also referred to as NR system) or may also include a Centralized Unit (CU) and a Distributed Unit (DU) in a Cloud access network (Cloud RAN) system, which is not limited in the embodiments of the present application.

The network device may also include a core network device including, for example, an access and mobility management function (AMF) or a User Plane Function (UPF), etc.

Wherein each network device is responsible for managing at least one cell. Each cell provides access service for the terminal equipment by using corresponding carrier frequency points. The frequency points used by different cells may be the same or different.

3) In order to ensure service continuity in a wireless communication system, terminal equipment obtains continuous service of a wireless network by switching or reselecting cells with different coverage areas. Generally, when a terminal device moves to a cell edge, a network device may issue measurement control tasks such as common frequency, different frequency, or different systems, so that the terminal device is switched from a service area to a neighboring area. The service area refers to a cell currently providing service for the terminal device, and the neighboring cell refers to a cell to be measured, which can be understood as a cell other than the service area, where the terminal device can search for a signal in the service area.

Intra-frequency measurement (intra-frequency measurement) means that a service area of a terminal device and a cell to be measured are on the same carrier frequency point (central frequency point). Inter-frequency measurement (inter-frequency measurement) means that a service area of a terminal device and a cell to be measured are not located on one carrier frequency point.

Exemplary method

An embodiment of the present application provides a method for measuring a neighboring cell, and as shown in fig. 1, the method may specifically include the following steps:

s101, dividing the bandwidth of a neighboring region to be measured into a plurality of sub-bandwidths.

In implementation, the bandwidth of the neighboring cell to be measured may be obtained first. After the bandwidth of the adjacent region to be measured is obtained, the bandwidth of the adjacent region can be divided to obtain a plurality of sub-bandwidths with the bandwidth smaller than the bandwidth of the adjacent region, so that the bandwidth of each measurement is reduced, and the sampling rate used by a receiver is reduced. For example, the bandwidth of the neighborhood region is 20M, the neighborhood region bandwidth may be divided into 4 sub-bandwidths, and each sub-bandwidth is 5M, so that the sampling rate of 30.72M corresponding to the original 20M may be reduced to the sampling rate of 7.68M corresponding to 5M.

It should be noted that, in LTE, a 20M bandwidth has 100 Resource Blocks (RBs), 12 subcarriers are provided on each RB, and a total of 1200 subcarriers are provided, and since Inverse Fast Fourier Transform (IFFT) is required when all subcarriers are added to form a time domain signal, the IFFT has to be calculated n times of 2, so 2048 samples are required on each symbol. Since the subcarrier spacing of LTE is 15Khz, the duration of each symbol is 1/15000sec according to the principle of Orthogonal Frequency Division Multiplexing (OFDM), and thus the sampling rate for LTE 20M is 2048 × 15000=30.72m.

When the adjacent area bandwidth to be measured is divided, the adjacent area bandwidth can be divided averagely, so that the network bandwidth of each obtained sub-bandwidth is kept consistent, and the sampling rate of each sub-bandwidth is kept consistent when the sub-bandwidths are measured, so that the measurement is more convenient.

And S102, performing adjacent cell measurement according to each sub-bandwidth to obtain an initial measurement result corresponding to each sub-bandwidth.

After obtaining the multiple sub-bandwidths, neighbor cell measurement may be performed based on each sub-bandwidth to traverse the entire neighbor cell bandwidth. Correspondingly, the neighbor cell measurement is performed on each sub-bandwidth, and an initial measurement result of each sub-bandwidth can be correspondingly obtained. Therefore, after the bandwidth of the adjacent cell is known, when the bandwidth of the adjacent cell is measured and scheduled, part of the bandwidth (sub-bandwidth) of the adjacent cell can be used for completing the measurement calculation of the corresponding position, the measurement of the bandwidth of the whole adjacent cell can be realized through multiple measurements, and the calculation complexity of the measurement result is effectively reduced.

And S103, calculating to obtain a target measurement value of the adjacent cell according to the initial measurement result.

The initial measurement result may include a Reference Single Received Power (RSRP) and a Received Signal Strength Indicator (RSSI). The target measurement value may include an LTE Reference Signal Receiving Quality (RSRQ).

Wherein RSRQ is defined as the ratio of N x RSRP/(LTE carrier RSSI), where N is the number of RBs of the LTE carrier RSSI measurement bandwidth. RSRQ enables an efficient way to report the effect of combining signal strength and interference, i.e. it reflects the relative magnitude between signal and interference.

The RSRP is a Cell Reference Signal (CRS) power value received by the terminal, and the value is a linear average value of single RE power in the measurement bandwidth, which reflects the strength of the useful signal of the current measurement cell.

The RSSI is a linear average of the power of all signals (including same-frequency useful and interference, adjacent-frequency interference, thermal noise, etc.) received by the terminal, and reflects the load intensity on the resource.

During implementation, filtering processing can be respectively carried out on the RSRP and the RSSI obtained by each calculation so as to filter interference, and therefore the calculation accuracy is improved. The filtering form may select alpha filtering or sliding window filtering.

When the target measurement value of the neighboring cell is obtained through calculation, the RSRQ can be obtained through calculation after the filtered RSRP and the RSSI of the bandwidth of the neighboring cell are obtained; or when the reporting period is satisfied, the RSRQ is calculated by using the filtered RSRP and RSSI.

In this embodiment, first, a bandwidth of a neighboring cell to be measured is divided into a plurality of sub-bandwidths; performing neighbor cell measurement according to each sub-bandwidth obtained by division to obtain an initial measurement result corresponding to each sub-bandwidth; and finally, calculating to obtain a target measurement value of the adjacent cell according to the initial measurement result. Based on the above processing steps, after the bandwidth of the neighboring cell to be measured is divided, the corresponding initial measurement result can be obtained through part of the bandwidth of the neighboring cell, that is, the sub-bandwidth, during each measurement scheduling. And calculating a target measurement value of the adjacent cell according to the initial measurement result of each sub-bandwidth, so that the measurement of the bandwidth of the whole cell to be measured can be realized. Therefore, the adjacent cell measurement is carried out according to each sub-bandwidth, the network bandwidth of each measurement is reduced, the measurement comprehensiveness and the measurement precision are ensured, and meanwhile, the calculation complexity and the working power consumption of the receiver are effectively reduced.

In some embodiments, when the neighboring cell bandwidth to be measured is divided into a plurality of sub-bandwidths, the neighboring cell bandwidth to be measured may be divided, and a position of each sub-bandwidth may be determined.

When a broadband measurement mode is used to obtain a relatively comprehensive power measurement value, the large-bandwidth neighbor measurement often requires a relatively high sampling rate, and accordingly, the design complexity of the receiver can be improved to meet the requirement of the relatively high sampling rate. Therefore, the bandwidth of the adjacent region can be divided, the requirement on the design complexity of the receiver is reduced by shortening the bandwidth, and the working power consumption of the receiver is further reduced.

The method comprises the steps of dividing the bandwidth of the neighbor cell to be measured, determining the position of each sub-bandwidth, not only realizing the division of the bandwidth of the neighbor cell, but also ensuring the integrity of the bandwidth of the whole neighbor cell through the position of each sub-bandwidth, further ensuring the measurement of the bandwidth of the whole neighbor cell when the neighbor cell is measured, and ensuring the accuracy and the integrity of the measurement result.

In some embodiments, when performing neighbor cell measurement according to each sub-bandwidth to obtain an initial measurement result corresponding to each sub-bandwidth, the neighbor cell measurement method may specifically include: and corresponding to each sub-bandwidth, performing adjacent cell measurement based on each CRS respectively to obtain an initial measurement result corresponding to the sub-bandwidth.

In implementation, each sub-bandwidth corresponding to the adjacent bandwidth is measured in the adjacent region based on the CRS, which means that one sub-bandwidth is selected from the adjacent bandwidths divided into multiple sub-bandwidths within a scheduling time (generally, one subframe) to complete one measurement of multiple symbols, so that each CRS completes one measurement of the sub-bandwidth. Therefore, the measurement of each CRS on all sub-bandwidths of the bandwidth of the adjacent region can be realized, and the initial measurement result of each sub-bandwidth can be obtained.

In some embodiments, multiple measurement scheduling may be implemented in a measurement reporting period specified by a protocol, where each scheduling may use a measurement mode of multiple symbols, and correspondingly, when performing neighbor cell measurement based on each CRS corresponding to each sub-bandwidth to obtain an initial measurement result corresponding to the sub-bandwidth, it may be that, in each measurement scheduling period, corresponding to one sub-bandwidth, performing neighbor cell measurement based on each CRS to obtain an initial measurement result corresponding to the sub-bandwidth, and then when the measurement scheduling period ends and the measurement time reaches the measurement reporting period, calculating to obtain a target measurement value of a neighbor cell and reporting the target measurement value to the base station.

The measurement mode of the multiple symbols often needs to occupy more CRSs, and accordingly, the measurement result is more accurate, but when the measurement time scheduling is more tense, the measurement mode of the multiple symbols may aggravate the load.

Specifically, the adjacent cell measurement is performed on each sub-bandwidth corresponding to each CRS, which means that one CRS is selected within a measurement scheduling time, and the adjacent cell bandwidth divided into a plurality of sub-bandwidths is measured, that is, the plurality of sub-bandwidths in the adjacent cell bandwidth are switched by using one CRS to complete multiple single-symbol measurements, so that each sub-bandwidth in the adjacent cell bandwidth is measured by the CRS, and thus an initial measurement result corresponding to each sub-bandwidth in the adjacent cell bandwidth is obtained. By adopting a single-symbol measurement mode, the occupation of CRS is effectively reduced while measurement is realized.

Similarly, multiple measurement scheduling can be realized in a measurement reporting period specified by a protocol, and a single-symbol measurement mode can be used in each scheduling. Correspondingly, when each sub-bandwidth is corresponding to and adjacent cell measurement is performed based on each CRS to obtain an initial measurement result corresponding to the sub-bandwidth, the initial measurement result corresponding to each sub-bandwidth may be obtained by corresponding to one CRS in each measurement scheduling period and performing adjacent cell measurement on each sub-bandwidth, and then when the measurement scheduling period is finished and the measurement time reaches the measurement reporting period, a target measurement value of the adjacent cell is obtained by calculation and reported to the base station.

In practical applications, different neighbor cell bandwidths may have slightly different measurement modes. For the convenience of measurement, the sub-bandwidth may be selected to be 5M, which corresponds to a standard sampling rate of 7.68M. Correspondingly, when the adjacent cell bandwidth is 20M, and the number of the sub-bandwidths is 4, the whole adjacent cell bandwidth can be traversed by using 5M sub-bandwidths in 4 times, a signal with a sampling rate of 7.68M is received each time, 512-point FFT is used, the index of the FFT is recorded as 0 to 511 after the FFT Shift, the CRS frequency domain data with the index of 106 to 405 is taken to complete RSRP calculation, all the frequency domain data with the index of 106 to 405 is taken to complete RSSI calculation, and thus, the initial measurement result of each sub-bandwidth can be obtained.

When traversing the entire adjacent bandwidth 4 times by using a sub-bandwidth of 5M, 4 CRSs (4 CRSs in one subframe) may be respectively traversed by corresponding to 4 sub-bandwidths (single-symbol measurement mode), or 4 CRSs may measure each sub-bandwidth together, and sequentially traverse 4 sub-bandwidths (multi-symbol measurement mode).

It is noted that the Direct Current (DC) position at the time of LTE downlink data transmission is not data-bearing. When the sub-bandwidth division is performed on the bandwidth of the adjacent cell, the sub-bandwidth division needs to be performed through a frequency shift operation, which causes the data/pilot carriers to be moved to the original DC position, and at this time, the original DC position data cannot be discarded. Therefore, when the offset (offset) of the frequency shift is not 0M, the FFT output is specially processed for the DC position; when the offset of the frequency shift is 0M, the FFT output is not specially processed at the DC position. The special processing of the DC position means that the original DC position data is not discarded.

When the bandwidth of the adjacent region is 15M, traversing the bandwidth of the whole adjacent region by using a sub-bandwidth of 5M for 3 times, and when in a multi-symbol measurement mode, measuring each sub-bandwidth by using 4 CRSs together, and sequentially traversing 3 sub-bandwidths of the bandwidth of the whole adjacent region; in the single-symbol measurement mode, since there are 4 CRSs in a subframe and only the first three CRSs are used in 3 times of traversal, the fourth CRS may be optionally used or not used for traversal, and if the fourth CRS is used, the fourth CRS may be used to measure any sub-bandwidth, and the measurement result and the measurement results of the corresponding sub-bandwidths in the first three times of traversal are averaged.

For example, the 4 CRSs are a first CRS, a second CRS, a third CRS, and a fourth CRS, and the sub-bandwidths are a first sub-bandwidth, a second sub-bandwidth, and a third sub-bandwidth, respectively, when the measurement is performed using the single-symbol measurement mode, the first CRS, the second CRS, and the third CRS correspondingly traverse the first sub-bandwidth, the second sub-bandwidth, and the third sub-bandwidth to obtain a first measurement result, a second measurement result, and a third measurement result, respectively, and the fourth CRS traverses the second sub-bandwidth to obtain a fourth measurement result, the second measurement result and the fourth measurement result need to be averaged, and the obtained average is used as an initial measurement result of the second sub-bandwidth.

When the bandwidth of the adjacent cell is 10M, the bandwidth of the whole adjacent cell can be traversed by using 5M sub-bandwidths for 2 times, and in a multi-symbol measurement mode, 4 CRSs measure each sub-bandwidth together and sequentially traverse 2 sub-bandwidths of the bandwidth of the whole adjacent cell; in the single-symbol measurement mode, since there are 4 CRSs in one subframe and only the first two CRSs are used in 2 traversals, the third and fourth CRSs may be optionally used for the traversal, and if they are used, the third and fourth CRSs may be used to repeat the two traversals, and the measurement result and the measurement results of the corresponding sub-bandwidths in the two traversals are averaged.

For example, the 4 CRSs are a first CRS, a second CRS, a third CRS, and a fourth CRS, respectively, and the sub-bandwidths are a first sub-bandwidth and a second sub-bandwidth, respectively, when a single-symbol measurement mode is used for measurement, the first CRS and the second CRS correspondingly traverse the first sub-bandwidth and the second sub-bandwidth to obtain a first measurement result and a second measurement result, respectively, the third CRS traverses the first sub-bandwidth to obtain a third measurement result, and the fourth CRS traverses the second sub-bandwidth to obtain a fourth measurement result, it is necessary to average the first measurement result and the third measurement result, the obtained average values are respectively used as initial measurement results of the first sub-bandwidth, the second measurement result and the fourth measurement result are averaged, and the obtained average values are used as initial measurement results of the second sub-bandwidth.

It should be noted that, in the embodiment of the present application, the sub-bandwidth is only illustrated as 5M, but the present application is not limited thereto, and in some other embodiments, the network bandwidth of the sub-bandwidth may also be selected from other values, which is not limited herein.

The acquisition of sub-bandwidths, when applicable, may be implemented within a Digital Front End (DFE) module. In implementation, after receiving an original signal, the DFE first performs a first-level down-sampling on the original signal to obtain a first signal, where the first signal is a sampling rate matched with a bandwidth of an adjacent cell. And performing corresponding frequency shift operation on the first signal according to the number of the sub-bandwidths to obtain a sampling rate corresponding to each sub-bandwidth position. And then, carrying out second-stage down-sampling on the sampling rate corresponding to each sub-bandwidth position to obtain the standard sampling rate corresponding to each sub-bandwidth position, and sending the standard sampling rate to FFT (fast Fourier transform) for calculation. Therefore, the adjustment of the position of the sub-bandwidth is realized by using the DFE high sampling rate node signal frequency shift, and the calculation complexity and the working power consumption of subsequent measurement can be effectively reduced.

Specifically, when the bandwidth of the adjacent cell is 20M, the DFE receives the original signal, performs first-stage down-sampling (to 30.72M) on the original signal, shifts the frequency by-6.75M/-2.25M/6.75M (corresponding to 4 seed bandwidth positions, each sub-bandwidth is 5M), performs second-stage down-sampling (to 7.68M), and sends the result to the FFT computation to obtain the target measurement value of the adjacent cell.

When the bandwidth of the adjacent cell is 15M, the DFE receives an original signal, carries out first-stage down sampling (to 30.72M) on the original signal, carries out second-stage down sampling (to 7.68M) after frequency shift is carried out for-4.5M/0M/4.5M (corresponding to 3 seed bandwidth positions, each sub-bandwidth is 5M), and sends the second-stage down sampling to FFT (fast Fourier transform algorithm) to obtain a target measurement value of the adjacent cell.

When the bandwidth of the adjacent region is 10M, the DFE receives the original signal, carries out first-stage down sampling (to 15.36M) on the original signal, carries out second-stage down sampling (to 7.68M) after frequency shift is carried out by-2.25M/2.25M (corresponding to 2 seed bandwidth positions, each sub-bandwidth is 5M), and sends the second-stage down sampling to FFT calculation to obtain the target measurement value of the adjacent region.

In some embodiments, the neighbor cell measurement method may further include: and when the current measurement reporting period is finished, reporting the target measurement value to the base station so as to realize the reselection or switching of the cell.

An embodiment of the present application provides a neighbor cell measurement apparatus, as shown in fig. 2, the apparatus may include: a dividing module 201, configured to divide a bandwidth of a neighboring cell to be measured into multiple sub-bandwidths; a measurement module 202, configured to perform neighbor cell measurement according to each sub-bandwidth to obtain an initial measurement result corresponding to each sub-bandwidth; and the calculating module 203 is configured to calculate a target measurement value of the neighboring cell according to the initial measurement result.

Optionally, when dividing the bandwidth of the neighboring cell to be measured into a plurality of sub-bandwidths, the dividing module 201 may be configured to: and dividing the bandwidth of the adjacent region to be measured, and determining the position of each sub-bandwidth.

Optionally, when performing neighbor cell measurement according to each sub-bandwidth to obtain an initial measurement result corresponding to each sub-bandwidth, the measurement module 202 may be specifically configured to: and corresponding to each sub-bandwidth, performing adjacent cell measurement based on each CRS respectively to obtain an initial measurement result corresponding to the sub-bandwidth.

Optionally, when performing neighbor cell measurement on each CRS corresponding to each sub-bandwidth to obtain an initial measurement result corresponding to the sub-bandwidth, the measurement module 202 may be specifically configured to: and in each measurement scheduling period, corresponding to one sub-bandwidth, and respectively carrying out adjacent region measurement based on each CRS to obtain an initial measurement result corresponding to the sub-bandwidth.

Optionally, when performing neighbor cell measurement according to each sub-bandwidth to obtain an initial measurement result corresponding to each sub-bandwidth, the measurement module 202 may be specifically configured to: and corresponding to each CRS, respectively carrying out adjacent region measurement on each sub-bandwidth to obtain an initial measurement result corresponding to each sub-bandwidth.

Optionally, when performing neighbor measurement on each sub-bandwidth corresponding to each CRS to obtain an initial measurement result corresponding to each sub-bandwidth, the measurement module 202 may be specifically configured to: and in each measurement scheduling period, corresponding to one CRS, respectively carrying out adjacent region measurement on each sub-bandwidth to obtain an initial measurement result corresponding to each sub-bandwidth.

Optionally, the neighboring cell measurement apparatus may further include a reporting module, where the reporting module is configured to: and reporting the target measurement value to the base station when the current measurement reporting period is finished.

An embodiment of the present application further provides a neighboring cell measurement device, as shown in fig. 3, the neighboring cell measurement device may include: a memory 301 and a processor 302; the memory 301 is connected to the processor 302 and is used for storing programs; the processor 302 is configured to implement the neighbor cell measurement method disclosed in any of the embodiments by running the program stored in the memory 301.

Specifically, the neighboring cell measuring device may further include: a bus, a communication interface 303, an input device 304, and an output device 305.

The processor 302, the memory 301, the communication interface 303, the input device 304, and the output device 305 are connected to each other via a bus. Wherein:

a bus may comprise a path that transfers information between components of a computer system.

The processor 302 may be a general-purpose processor, such as a general-purpose Central Processing Unit (CPU), microprocessor, etc., an application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of programs in accordance with the present invention. But may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components.

The processor 302 may include a main processor and may also include a baseband chip, modem, and the like.

The memory 301 stores programs for executing the technical solution of the present invention, and may also store an operating system and other key services. In particular, the program may include program code including computer operating instructions. More specifically, memory 301 may include read-only memory (ROM), other types of static storage devices that may store static information and instructions, random Access Memory (RAM), other types of dynamic storage devices that may store information and instructions, disk storage, flash, and so forth.

The input device 304 may include a means for receiving data and information input by a user, such as a keyboard, mouse, camera, scanner, light pen, voice input device, touch screen, pedometer, or gravity sensor, among others.

Output device 305 may include means, such as a display screen, speakers, etc., for allowing information to be output to a user.

Communication interface 303 may include any device that uses any transceiver or the like to communicate with other devices or communication networks, such as an ethernet network, a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), etc.

The processor 302 executes the program stored in the memory 301, and invokes other devices, which can be used to implement the steps of the neighbor cell measurement method provided in the embodiment of the present application.

Another embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the storage medium, and when the computer program is executed by a processor, the computer program implements the steps of the neighbor cell measurement method provided in any of the above embodiments.

While, for purposes of simplicity of explanation, the foregoing method embodiments have been described as a series of acts or combination of acts, it will be appreciated by those skilled in the art that the present application is not limited by the order of acts or acts described, as some steps may occur in other orders or concurrently with other steps in accordance with the application. Further, those skilled in the art will recognize that the embodiments described in this specification are preferred embodiments and that acts or modules referred to are not necessarily required for this application.

It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the device-like embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The steps in the method of each embodiment of the present application may be sequentially adjusted, combined, and deleted according to actual needs.

The modules and sub-modules in the device and the terminal in the embodiments of the present application can be combined, divided and deleted according to actual needs.

In the several embodiments provided in the present application, it should be understood that the disclosed terminal, apparatus and method may be implemented in other manners. For example, the above-described terminal embodiments are merely illustrative, and for example, the division of a module or a sub-module is only one logical function division, and other division manners may be available in actual implementation, for example, a plurality of sub-modules or modules may be combined or integrated into another module, or some features may be omitted, or not executed. In addition, the shown or discussed coupling or direct coupling or communication connection between each other may be through some interfaces, indirect coupling or communication connection between devices or modules, and may be in an electrical, mechanical or other form.

The modules or sub-modules described as separate parts may or may not be physically separate, and parts that are modules or sub-modules may or may not be physical modules or sub-modules, may be located in one place, or may be distributed over a plurality of network modules or sub-modules. Some or all of the modules or sub-modules can be selected according to actual needs to achieve the purpose of the solution of the present embodiment.

In addition, each functional module or sub-module in the embodiments of the present application may be integrated into one processing module, or each module or sub-module may exist alone physically, or two or more modules or sub-modules may be integrated into one module. The integrated modules or sub-modules may be implemented in the form of hardware, or may be implemented in the form of software functional modules or sub-modules.

Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software unit executed by a processor, or in a combination of the two. The software cells may be located in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

Finally, it should also be noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.

The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A neighbor cell measurement method, comprising: dividing a bandwidth of a neighboring area to be measured into a plurality of sub-bandwidths; performing neighbor cell measurement according to each sub-bandwidth to obtain an initial measurement result corresponding to each sub-bandwidth; and calculating to obtain a target measurement value of the adjacent cell according to the initial measurement result.

2. The neighbor cell measurement method according to claim 1, wherein the dividing the neighbor cell bandwidth to be measured into a plurality of sub-bandwidths comprises: and dividing the bandwidth of the adjacent region to be measured, and determining the position of each sub-bandwidth.

3. The method of claim 1, wherein the performing neighbor cell measurement according to each sub-bandwidth to obtain an initial measurement result corresponding to each sub-bandwidth comprises: and corresponding to each sub-bandwidth, performing adjacent cell measurement based on each CRS respectively to obtain an initial measurement result corresponding to the sub-bandwidth.

4. The method according to claim 3, wherein the performing neighbor cell measurement on each CRS for each sub-bandwidth to obtain an initial measurement result corresponding to the sub-bandwidth comprises: and in each measurement scheduling period, corresponding to one sub-bandwidth, respectively performing adjacent cell measurement based on each CRS to obtain an initial measurement result corresponding to the sub-bandwidth.

5. The method of claim 1, wherein the performing neighbor cell measurement according to each sub-bandwidth to obtain an initial measurement result corresponding to each sub-bandwidth comprises: and corresponding to each CRS, respectively carrying out adjacent region measurement on each sub-bandwidth to obtain an initial measurement result corresponding to each sub-bandwidth.

6. The method according to claim 5, wherein the performing neighbor cell measurement on each sub-bandwidth corresponding to each CRS to obtain an initial measurement result corresponding to each sub-bandwidth comprises: and in each measurement scheduling period, corresponding to one CRS, respectively carrying out adjacent region measurement on each sub-bandwidth to obtain an initial measurement result corresponding to each sub-bandwidth.

7. The neighbor cell measurement method according to claim 1, further comprising: and reporting the target measurement value to a base station when the current measurement reporting period is finished.

8. A neighbor cell measurement apparatus, comprising: the dividing module is used for dividing the bandwidth of the adjacent region to be measured into a plurality of sub-bandwidths; the measurement module is used for carrying out neighbor cell measurement according to each sub-bandwidth to obtain an initial measurement result corresponding to each sub-bandwidth; and the calculating module is used for calculating to obtain a target measurement value of the adjacent cell according to the initial measurement result.

9. A neighbor cell measurement device, comprising: a processor, and a memory coupled to the processor; the memory is used for storing a computer program; the processor is configured to invoke and execute the computer program in the memory to perform the method of any of claims 1-7.

10. A storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, carries out the steps of the neighbor cell measurement method according to any one of claims 1-7.