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CN102892136B - Upstream signal loading method and base station - Google Patents

Upstream signal loading method and base station Download PDF

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Publication number
CN102892136B
CN102892136B CN201110200411.1A CN201110200411A CN102892136B CN 102892136 B CN102892136 B CN 102892136B CN 201110200411 A CN201110200411 A CN 201110200411A CN 102892136 B CN102892136 B CN 102892136B
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base station
interference
power
signal
interference signal
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CN102892136A (en
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叶少强
曾召华
闫鹏周
张鹏帅
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ZTE Corp
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ZTE Corp
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Abstract

The invention provides an upstream signal loading method and a base station. The method comprises the following steps: the base station obtains interference signals for testing the performance of communication devices; and the base station loads the interference signals to the received upstream signal from a terminal. By virtue of the technical scheme, the problems of higher cost and the like, resulting from the fact that the analog loading is complicated to realize and extra devices and equipment are required, in the correlation technique are solved; furthermore, in the process of opening the mobile communication device as well as planning and optimizing the network, the effect of simplifying the analog loading and lowering the cost are achieved.

Description

Uplink signal loading method and base station
Technical Field
The present invention relates to the field of communications, and in particular, to a method for loading an uplink signal and a base station.
Background
In the process of provisioning mobile communication equipment and optimizing network planning, in order to fully verify the performance of the equipment, a certain telephone traffic is loaded and partial testing is performed in an environment with certain interference. This loading typically has two modes: simulating interference under the worst condition by using a real mobile phone or simulating uplink interference by using a signal generator and sending the interference to a base station such as an evolved node B (E-UTRAN NodeB, abbreviated as eNB); in the case of large-scale networking, it is often difficult and impractical to assist in performing analog loading by introducing a large number of terminals or using third-party signal generators, additional instrumentation, expense, and complexity of operation.
In view of the above problems in the related art, no effective solution has been proposed at present.
Disclosure of Invention
The present invention is directed to a method and a base station for loading uplink signals, so as to solve at least one of the above problems.
According to an aspect of the present invention, there is provided a method for loading an uplink signal, including: a base station acquires an interference signal for testing the performance of communication equipment; and the base station loads the interference signal on the uplink signal received by the base station from the terminal.
The above base station acquiring an interference signal for testing the performance of the communication device includes: the base station determines the interference power to be loaded on each resource block RB; and the base station loads interference power to the random sequence by taking the RB as a unit to obtain an interference signal.
The base station calculates and determines the interference power to be loaded by the following formula:wherein,indicating the interference power, IOT, to be loaded on the ith RBiRepresents the interference power to thermal noise power ratio of the ith RB, and N represents the noise floor power of the communication device.
The base station calculates the interference signal by the following formula: wherein, XiIn order for the interfering signal to be a function of the interference signal,denotes a mean of 0 and a variance σi 2White gaussian noise sequence.
The method further comprises the following steps: the base station loads an interference signal after performing Fast Fourier Transform (FFT) on an uplink signal.
According to another aspect of the present invention, there is provided a base station including: the device comprises an acquisition module, a detection module and a control module, wherein the acquisition module is used for acquiring an interference signal for testing the performance of communication equipment; and the loading module is used for loading the interference signal on the uplink signal received by the base station from the terminal.
The above-mentioned acquisition module includes: a determining unit, configured to determine interference power to be loaded on each RB; and the acquisition unit is used for loading interference power to the random sequence by taking the RB as a unit to obtain an interference signal.
The determining unit determines the interference power to be loaded by calculating according to the following formula:wherein,indicating the interference power, IOT, to be loaded on the ith RBiIndicates the IOT level for the ith RB and N indicates the noise floor power of the communication device.
The above-mentioned acquisition unit calculates and obtains the interference signal through the following formula: wherein Xi is an interference signal,denotes a mean of 0 and a variance σi 2White gaussian noise sequence.
The loading module is configured to load the interference signal after performing fast fourier transform FFT on the uplink signal.
By adopting the method for loading the interference signal to the uplink signal of the terminal received by the base station in the base station, the invention solves the problems of complex analog loading realization, high cost caused by the need of additional equipment and instruments and the like in the related technology, and further achieves the effects of simple analog loading and low cost in the processes of opening the mobile communication equipment and optimizing network planning.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart of a method for loading an uplink signal according to an embodiment of the present invention;
fig. 2 is a block diagram of a base station according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a base station according to a preferred embodiment of the present invention;
fig. 4 is a schematic structural diagram of interference loading in units of frequency domain RBs according to a preferred embodiment of the present invention.
Detailed Description
The invention will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
Fig. 1 is a flowchart of a method for loading an uplink signal according to an embodiment of the present invention. As shown in fig. 1, the method includes:
step S102, the base station acquires an interference signal for testing the performance of the communication equipment. The source of the interference signal obtained by the base station may be various, and may be obtained from an external interference signal generating source, or may be directly generated from the inside of the base station.
Step S104, the base station loads the interference signal on the uplink signal received by the base station from the terminal.
Through the processing steps, the problems of complex realization, high cost and the like caused by the adoption of the loading of the uplink signal outside the base station can be solved, and the effects of simple simulation loading and low cost in the process of starting the mobile communication equipment and optimizing the network planning are achieved.
There may be a plurality of methods for the base station to acquire the interference signal, and a preferred embodiment of the method is as follows: a base station determines interference power to be loaded on a unit bandwidth (in this embodiment, one Resource Block (RB, for short, 180KHz) is used as the unit bandwidth); and the base station loads the interference power to the random sequence by taking the RB as a unit to obtain the interference signal. The method specifically comprises the following steps: base station determines interference and thermal noise power to be loaded on each RBRatio (IOT)i) Different interference-over-thermal power ratios may be allocated for each RB. In specific implementation, the base station configures the interference-to-thermal noise power ratio through a background (which may be an OMC), generates interference power on each RB according to the measurement of the thermal noise by the base station, and then loads the interference power on a random sequence in units of RBs to obtain an interference signal.
For the above determination of the interference power, that is, how to determine the interference power that needs to be superimposed on each RB of the unit bandwidth, the determination may be calculated by the following formula:wherein,indicating the interference power, IOT, to be loaded on the ith RBiRepresents the interference power to thermal noise power ratio of the ith RB, and N represents the noise floor power of the communication device. Where iot (interference over thermal) is the ratio of the interference power generated by all UEs in other cells to the thermal noise power measured.
Based on the formula for determining the interference power, the interference signal can be calculated by the following formula:
wherein, XiIn order for the interfering signal to be a function of the interference signal,denotes a mean of 0 and a variance σi 2White gaussian noise sequence.
In an embodiment of the present invention, the base station loads the interference signal after performing Fast Fourier Transform (FFT) on the uplink signal.
In this embodiment, a base station is further provided, where the base station is used to implement the foregoing embodiments and preferred embodiments, and details of the foregoing description are omitted, and a description is provided below for modules involved in the base station. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the base stations described in the following embodiments are preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated. Fig. 2 is a block diagram of a base station according to an embodiment of the present invention. As shown in fig. 2, the base station includes:
an obtaining module 20, which obtains an interference signal for testing the performance of the communication device;
and a loading module 22, connected to the obtaining module 20, configured to load an interference signal on an uplink signal received by the base station from the terminal.
In a specific implementation, as shown in fig. 4, the obtaining module 20 may perform the following steps: generating random sequences with different powers in unit of RB from generating uniformly distributed random sequences- > generating normally distributed random sequences- > loading interference power with unit bandwidth and measured noise power according to RB configured by a background (which can be network management OMC), and further generating interference signals for testing the performance of communication equipment; the loading module 22 is configured to load an interference signal on an uplink signal after the base station OFDM receiver completes FFT, which is equivalent to simulating the uplink signal of the UE to implement uplink loading, and for how to generate specific random sequences, normal distribution sequences, and random sequences with different powers in units of RBs, see the description in the following embodiments.
In a preferred embodiment of the present invention, as shown in fig. 3, the obtaining module 20 includes: a determining unit 200, configured to determine interference power that needs to be loaded on each RB; an obtaining unit 202, connected to the determining unit 200, configured to load the interference power to the random sequence by using RB as a unit, so as to obtain an interference signal. In practical application, the obtaining unit 202 is configured to generate an interference random sequence with the same power or different powers for each RB in units of RBs, and load the interference power to obtain an interference signal.
Preferably, the determining unit 200 is configured to calculate and determine the interference power required to be loaded according to the following formula:
I i RB = ( 10 IOT i 10 - 1 ) * N ,
wherein,indicating the interference power, IOT, to be loaded on the ith RBiIndicates the IOT level for the ith RB and N indicates the noise floor power of the communication device.
Preferably, the obtaining unit 202 is configured to calculate the interference signal according to the following formula:
X i ≈ N ( 0 , I i RB ) ,
δ i 2 = 2 2 I i RB wherein,
Xiin order for the interfering signal to be a function of the interference signal,denotes a mean of 0 and a variance σi 2White gaussian noise sequence.
Preferably, the loading module 22 is configured to load the interference signal after performing fast fourier transform FFT on the uplink signal.
The following description is of preferred embodiments, which combine the above-described implementations and their preferred embodiments.
The embodiment belongs to the technical field of wireless communication, and particularly relates to an uplink loading method in an ofdm (orthogonal Frequency Division multiplexing) based Long Term Evolution (LTE) system.
Aiming at an OFDM system, the purpose of uplink analog loading is achieved by a method of superposing frequency domain noise signals inside an eNB. The advantage is that no additional meters or terminal assistance is required, and large-scale loading tests can be performed in both laboratories and off-site without the need for additional meters.
In this embodiment, the same or different interference power to thermal noise power ratio of each RB is configured to generate an interference signal with equal power or unequal power for each RB, and the basic principle and idea are as follows:
measuring interference loading level of each RB based on IOT ratio of the RB
IOT i = 10 lg ( I i RB + N N ) - - - ( 3 - 1 )
Wherein: IOTiIndicates the IOT level of the ith RB;representing the interference power (linear value) of the adjacent region on the ith RB; n represents the device noise floor power (linear value).
The specific implementation process of this embodiment is as follows:
(1) receiving the digital domain average power of pure white noise in each RB when the white noise is unloaded, wherein the digital domain average power is represented as N, and when no N measured value exists, calculating; theoretically N is calculated as follows:
NF is the receiver noise figure. The noise figure may vary from device to device, such as from device to device from different manufacturers.
KT is-174 dBm, B is the bandwidth, K is a constant, B is the bandwidth, and T is the ambient temperature.
N→dBm=KBT+NF
B=M*15k
=-174+10×log10(M*15k)+4
=-128.2+10×log10M (3-2)
Conversion to linear values is:
N=M×1.5135×10-13(mW) (3-3)
the formula (3-3) is calculated by taking M as 12:
NRB=1.8162×10-12(mW) (3-4)
(2) as shown in fig. 4, the loading power to be superimposed on the RB is calculated according to the configured interference power to thermal noise power ratio of the bandwidth in units of RBs, that is: and calculating the interference power needing analog loading based on the IOT set by each RB.
If the theoretically calculated N is estimated based on the formulas (3-1) and (3-3):
I = ( 10 IOT 10 - 1 ) × N ⇒ I = ( 10 IOT 10 - 1 ) × M × 1.5135 × 10 - 13 ( mW ) - - - ( 3 - 5 )
the formula (3-5) can be derived by taking M ═ 12, and the interference power per RB is:
I i RB = ( 10 IOT i 10 - 1 ) × 1.8162 × 10 - 12 ( mW ) - - - ( 3 - 6 )
if N is measured, according to (3-1), the required loading interference power Ii is calculated as:
I i RB = ( 10 IOT i 10 - 1 ) * N - - - ( 3 - 7 )
and (3-6) or (3-7) calculating the loading interference on each RB, if the loading power of each configured RB is equal, generating white noise with equal power, and otherwise generating white noise with different power in the unit of RB to simulate the uplink loading interference. Since it is complex white gaussian noise, the imaginary and real parts of the white gaussian noise generation are equal in power, and are expressed as:
δ i 2 = 2 2 I i RB - - - ( 3 - 8 )
(3) different powers are loaded to the random sequence in units of RBs.
Noise is generated based on (3-9), and the sequence representation thereof is expressed as:
X i ≈ N ( 0 , I i RB ) - - - ( 3 - 9 )
wherein N (0, I)i) Denotes a mean of 0 and a variance σi 2The gaussian white noise sequence of (1); the unit length of the sequence is 12.
(4) And loading the interference signal on the receiving signal by taking the RB as a unit.
In another embodiment, a software is provided, which is used to execute the technical solutions described in the above embodiments and preferred embodiments.
In another embodiment, a storage medium is provided, in which the software is stored, and the storage medium includes but is not limited to: optical disks, floppy disks, hard disks, erasable memory, etc.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (8)

1. A method for loading an uplink signal, comprising:
a base station acquires an interference signal for testing the performance of communication equipment, wherein the base station determines the interference power to be loaded on each resource block RB; the base station loads the interference power to a random sequence by taking RB as a unit to obtain the interference signal;
and the base station loads the interference signal on the uplink signal received by the base station from the terminal.
2. The method of claim 1, wherein the base station determines the interference power to be loaded by calculating according to the following formula:
I i R B = ( 10 IOT i 10 - 1 ) * N ,
wherein,indicating the interference power, IOT, to be loaded on the ith RBiRepresents the interference power to thermal noise power ratio of the ith RB, and N represents the noise floor power of the communication device.
3. The method of claim 2, wherein the base station calculates the interference signal according to the following formula:
X i ≈ N ( 0 , I i R B ) ,
wherein,
Xifor the interferenceThe signal(s) is (are) transmitted,denotes a mean of 0 and a variance σiWhite gaussian noise sequence.
4. The method of any of claims 1 to 3, further comprising: and the base station loads the interference signal after performing Fast Fourier Transform (FFT) on the uplink signal.
5. A base station, comprising:
an obtaining module, configured to obtain an interference signal for testing performance of a communication device, where the obtaining module includes: a determining unit, configured to determine interference power to be loaded on each RB; an obtaining unit, configured to load the interference power to a random sequence by using an RB as a unit, to obtain the interference signal;
and the loading module is used for loading the interference signal on the uplink signal received by the base station from the terminal.
6. The base station of claim 5, wherein the determining unit determines the interference power to be loaded by calculating according to the following formula:
I i R B = ( 10 IOT i 10 - 1 ) * N ,
wherein,indicating the interference power, IOT, to be loaded on the ith RBiIndicates the IOT level for the ith RB and N indicates the noise floor power of the communication device.
7. The base station of claim 6, wherein the obtaining unit obtains the interference signal by calculating according to the following formula:
X i ≈ N ( 0 , I i R B ) ,
wherein Xi is the interference signal,denotes a mean of 0 and a variance σi 2White gaussian noise sequence.
8. The base station according to any of claims 5 to 7, wherein the loading module is configured to load the interference signal after performing fast fourier transform, FFT, on the uplink signal.
CN201110200411.1A 2011-07-18 2011-07-18 Upstream signal loading method and base station Active CN102892136B (en)

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1933378A (en) * 2006-09-30 2007-03-21 华为技术有限公司 Radio channel simulating method and apparatus thereof
CN101128010A (en) * 2006-08-16 2008-02-20 大唐移动通信设备有限公司 Testing method for wireless resource management algorithm

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FI113329B (en) * 2002-02-15 2004-03-31 Validitas Oy A device for testing a packet switched cellular radio network

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101128010A (en) * 2006-08-16 2008-02-20 大唐移动通信设备有限公司 Testing method for wireless resource management algorithm
CN1933378A (en) * 2006-09-30 2007-03-21 华为技术有限公司 Radio channel simulating method and apparatus thereof

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