KR101275488B1 - Method and apparatus for processing a signalin of wireless comunnication base station - Google Patents

Method and apparatus for processing a signalin of wireless comunnication base station Download PDF

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KR101275488B1
KR101275488B1 KR1020120013060A KR20120013060A KR101275488B1 KR 101275488 B1 KR101275488 B1 KR 101275488B1 KR 1020120013060 A KR1020120013060 A KR 1020120013060A KR 20120013060 A KR20120013060 A KR 20120013060A KR 101275488 B1 KR101275488 B1 KR 101275488B1
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interference
receiving terminal
base station
beamforming vector
information
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KR1020120013060A
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Korean (ko)
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이인규
박석환
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고려대학교 산학협력단
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/022—Site diversity; Macro-diversity
    • H04B7/024—Co-operative use of antennas of several sites, e.g. in co-ordinated multipoint or co-operative multiple-input multiple-output [MIMO] systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0617—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal for beam forming

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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

PURPOSE: A signal processing method for a wireless communication base station and a device thereof are provided to execute beam-forming through cooperation among base stations in a multi-cell system environment considering the weighted value of a reception terminal. CONSTITUTION: A transmission ratio determination unit (120) determines the data transmission ratio of a reception terminal corresponding to each base station by applying a weighted value of a reception terminal. A beam-forming unit (130) calculates a beam-forming vector and an interference ratio control coefficient through the sum of the data transmission ratio and a virtual SNR (Signal to Noise Ratio). The virtual SNR includes the interference ratio control coefficient and the beam-forming vector as variables. A control unit (150) controls the transmission ratio control unit and the beam-forming calculation unit. [Reference numerals] (110) Information acquisition unit; (120) Transmission rate determination unit; (130) Beam-forming unit; (140) Communication unit; (150) Control unit

Description

METHOD AND APPARATUS FOR PROCESSING A SIGNALIN OF WIRELESS COMUNNICATION BASE STATION}

The present invention relates to a signal transmission method of a wireless communication base station and a transmission apparatus of a wireless communication base station, and more particularly, to a signal processing method and apparatus of a base station performing beamforming through cooperation between base stations in a multi-cell system.

From the early stage of cellular mobile communication, the concept of dividing the communication coverage into cells, to the current stage of the introduction of the next generation 4G system, the interference problem has emerged as the most important issue among technical problems.

Conventional cellular systems have managed this interference problem by centralized control, but with the introduction of femtocells and next-generation 4G systems, the network structure of mobile communication systems has changed to a multi-layered structure, and the number of objects to be managed by the system is geometric. The increase in water supply has resulted in an environment where centralized management is fundamentally impossible.

In addition, when neighboring base stations transmit data using the same frequency band, the terminal located at the cell boundary may be interfered by the beam index used by the neighboring cell terminal located at the boundary of the neighboring cell. For example, the direction of the beamforming vector used by the base station A to transmit data to the terminal A located at the cell boundary using the frequency band 1, and the base station B to the terminal B located at the cell boundary using the frequency band 1 When the directions of the beamforming vectors used for transmitting data overlap, signals received by the terminal A and the terminal B, respectively, act as mutual interference.

Therefore, in recent years, researches on cooperative transmission systems between base stations have been actively conducted to solve such inter-cell interference.

An object of the present invention is to provide a signal processing method and a signal processing apparatus of a base station for performing beamforming through cooperation between base stations in a multi-cell system environment in which weights of a receiving terminal are considered.

An object of the present invention is to provide a signal processing method and a signal processing apparatus of a base station for calculating an optimal beamforming vector using a sum of data rates and a virtual signal-to-interference noise ratio of a receiving terminal in consideration of a weight of the receiving terminal in a multi-cell system environment. To provide.

According to an embodiment of the present invention to achieve the above object, as a signal processing method of a base station for performing beamforming through a cooperation between a plurality of base stations in a multi-cell system, each of the plurality of base stations by applying a weight of a receiving terminal Determining a sum of data rates of the receiving terminal corresponding to; And calculating the interference weighting coefficient and the beamforming vector using the sum of the data rate and the virtual signal-to-interference noise ratio including the interference weighting coefficient and the beamforming vector as variables. This is provided.

According to an embodiment of the present invention to achieve the above object, a signal processing apparatus of a base station for performing beamforming through a cooperation between a plurality of base stations in a multi-cell system, each of the plurality of base stations by applying a weight of a receiving terminal A rate determining unit which determines a sum of data rates of the receiving terminals corresponding to A beamforming unit configured to calculate the interference density control coefficient and the beamforming vector using the sum of the data rate and the virtual signal-to-interference noise ratio including the interference density control coefficient and the beamforming vector as variables; And a controller for controlling the rate controller and the beamforming vector calculator.

According to an embodiment of the present invention, an optimal beamforming vector may be calculated through cooperation between base stations in a multi-cell system environment in which weights of a receiving terminal are considered.

According to an embodiment of the present invention, an optimal beamforming vector may be calculated using a sum of data rates of a receiving terminal and a virtual signal-to-interference noise ratio in consideration of the weight of the receiving terminal in a multi-cell system environment.

FIG. 1 is a diagram for explaining a signal processing method of a base station that performs beamforming through cooperation among base stations in a multi-cell system according to an embodiment of the present invention.
2 is a block diagram of a signal processing apparatus of a wireless communication base station according to an embodiment of the present invention.
3 to 4 are flowcharts illustrating a signal processing method of a wireless communication base station according to an embodiment of the present invention.
5 is a view comparing the performance of the signal processing method and the other signal processing method of the wireless communication base station related to one embodiment.

Hereinafter, a signal processing method and apparatus of a wireless communication base station according to an embodiment of the present invention will be described with reference to the accompanying drawings.

1 is a diagram for explaining a signal processing method of a base station that performs beamforming through cooperation between base stations in a multi-cell system related to an embodiment of the present invention. The term "cell" may be used herein to mean "base station ".

As shown, the wireless communication system according to an embodiment of the present invention is a plurality of base stations (BS 1, ..., BS K), and receiving terminals corresponding to each base station (USER 1, ..., USER K) ) May be included. A receiving terminal corresponding to a base station means a terminal to which a corresponding wireless communication base station is intended to transmit a signal. The base station and the receiving terminal may correspond one-to-one. For example, the receiving terminal corresponding to the first base station BS 1 may be USER 1, and the receiving terminal corresponding to the second base station BS 2 may be USER 2.

The illustrated wireless communication system considers an environment in which a plurality of base stations interfere with each other. Accordingly, in order to efficiently control the interference signal between base stations, the base station may process the signal by performing coordination between the base stations. The signal processing may include designing a transmission filter by performing beamforming.

Beamforming is a technique in which a beam of an antenna is reflected only to a corresponding terminal by a method of a smart antenna. The smart antenna may be implemented using a plurality of antennas to increase efficiency. A vector applied to a transmission symbol for beamforming may be referred to as a beamforming vector.

The beamforming vector may be expressed by v i , k . v i , k denotes a beamforming vector for the k-th user in the i-th base station. In addition, h k , i denotes a channel response coefficient between the i base station and the k receiving terminal.

Hereinafter, an environment in which two base stations interfere with each other will be described as an example. That is, it will be described on the assumption that the two base stations cooperate with each other. In addition, it is assumed that there is one receiving terminal corresponding to each base station. In addition, it is assumed that the base station also knows the signal information of the receiving terminal corresponding to itself and the signal information of the receiving terminal corresponding to another base station (hereinafter, referred to as a "cooperative base station").

In an environment in which two base stations BS 1 and BS K interfere with each other, a received signal at a k-th receiving terminal may be expressed by Equation 1 below.

On the other hand, if k represents the k-th base station in the following equation,

Figure 112012010443379-pat00001
Used as a symbol for cooperating base stations. For example, if k = 1 in an environment where two base stations interfere with each other,
Figure 112012010443379-pat00002
= 2 and k = 2,
Figure 112012010443379-pat00003
= 1.

Figure 112012010443379-pat00004

Figure 112012010443379-pat00005
Is a received signal at the kth receiving terminal,
Figure 112012010443379-pat00006
Denotes the power used by the i-th base station BS 1 for the k-th receiving terminal user K. And the transmission power per base station may be limited.

In addition, JP denotes a joint processing environment, and a joint processing environment refers to an environment in which message signals to be transmitted are shared between base stations. h k and i denote channel information between the i base station and the k receiving terminal, and v i and k denote beamforming vectors for the k th user in the i th base station. In addition, H means Hermitian transpose. S k means a message signal to be transmitted to the k-th receiving terminal. In addition, n k represents a noise signal.

In Equation 1, the first term may be interpreted as a desired signal term to be decoded by the kth receiving terminal, and the second term may be interpreted as a signal for a receiving terminal of an adjacent base station, that is, an interference signal as the kth receiving terminal. Can be. In this model, the data rate for the k-th receiving terminal can be expressed by Equation 2.

Figure 112012010443379-pat00007

here,

Figure 112012010443379-pat00008
Denotes the data rate of the k-th receiving terminal.

By applying the weight of the receiver terminal to Equation 2, the sum of data rates of each receiver terminal (hereinafter, referred to as “weighted sum-rate”) may be expressed as in Equation 3 below.

Figure 112012010443379-pat00009

here,

Figure 112012010443379-pat00010
A weight assigned to the k-th receiving terminal, which means a factor related to priority. The weight may be determined by information on data usage and information on service quality. The information on the data usage amount is information on data usage used by the k-th receiving terminal, and may include information on usage amount for a predetermined period. In addition, the information on the quality of service means information on the quality of service required by the receiving terminal. For example, the service required by the receiving terminal may include a video transmission, a voice call request, and the like.

For example, suppose a receiving terminal requesting video transmission has a receiving terminal that performs only a voice call. In this case, a higher weight may be assigned to a receiving terminal requesting video transmission than a receiving terminal performing only a voice call.

In a multi-cell system, an optimal beamforming vector may be a beamforming vector that maximizes a weighted sum-rate of a weighted receiver terminal.

Hereinafter, a method and apparatus for calculating a beamforming vector for maximizing a weighted sum-rate of a receiving terminal in consideration of weight will be described in detail.

2 is a block diagram of a signal processing apparatus of a wireless communication base station according to an embodiment of the present invention.

As illustrated, the signal processing apparatus 100 may include an information acquisition unit, a rate determining unit 120, a beamforming unit 130, a communication unit 140, and a controller 150. However, not all illustrated components are essential components. The signal processing apparatus 100 may be constituted by a larger number of components than the illustrated components, or the signal processing apparatus 100 may be constituted by fewer components.

The information obtaining unit 110 may obtain various types of information for calculating the optimal beamforming vector. For example, the weight of the receiving terminal corresponding to the base station (hereinafter referred to as 'first receiving terminal' for convenience), channel information, interference information and noise information, and the receiving terminal (hereinafter referred to as 'second for convenience') Weight, channel information, interference information, and noise information.

The rate determining unit 120 may determine a sum of data rates of each receiving terminal by applying corresponding weights to the first receiving terminal and the second receiving terminal. The rate determining unit 120 may determine the sum of data rates of the receiving terminal by using Equation 3 above.

The beamformer 130 may calculate an optimal beamforming vector. That is, the beamforming unit 130 may calculate a beamforming vector such that the sum of the data rates of the receiving terminals has the maximum value in Equation (3). In this case, the beamforming unit 130 may use a virtual signal-to-interference noise ratio because it is difficult due to the complexity to directly calculate the beamforming vector such that the sum of the data rates of the receiving terminals has the maximum value. The virtual signal-to-interference noise ratio refers to a signal-to-interference noise ratio transmitted by a base station, not a signal received by a receiving terminal.

The virtual signal-to-interference noise ratio may be expressed by Equation 4 below.

Figure 112012010443379-pat00011

Figure 112012010443379-pat00012
Denotes a virtual signal-to-interference noise ratio and N 0 denotes an average power value of a noise signal added to each receiving terminal antenna.

Also,

Figure 112012010443379-pat00013
Denotes the interference density control coefficient. The interference weight control coefficient is a coefficient that adjusts the weight of interference and noise. therefore
Figure 112012010443379-pat00014
By adjusting the ratio of interference and noise can be adjusted.

The beamforming unit 130 may calculate an optimal beamforming vector by using Equations 3 and 4 below.

The communicator 140 may transmit various signals or information to the cooperative base station or the corresponding receiving terminal, or may receive various signals or information from the cooperative base station or the corresponding receiving terminal. The communication unit 140 may include a plurality of antennas.

The controller 150 controls the overall functions performed by the information acquirer 110, the rate determiner 120, the beamformer 130, and the communicator 140. Next, a signal processing method performed by the signal processing apparatus 100 will be described.

3 is a flowchart illustrating a signal processing method of a wireless communication base station according to an embodiment of the present invention.

The information obtaining unit 110 may obtain various information for calculating an optimal beamforming vector (S310). For example, the information acquisition unit 110 may obtain information related to the first receiving terminal and information related to the second receiving terminal. The first receiving terminal and related information may include weights, channel information, interference information, noise information, etc. of the first receiving terminal. In addition, the second receiving terminal and the related information may include weights, channel information, interference information, noise information, and the like of the second receiving terminal.

The transmission rate determining unit 120 may determine the sum of the data transmission rates of the first receiving terminal and the second receiving terminal using the obtained information (S320). This may be determined using Equation 3.

The beamforming unit 130 may calculate an optimal beamforming vector using the sum of data rates and the virtual signal to interference noise ratio (S330).

Hereinafter, a method of calculating an optimal beamforming vector will be described in detail.

4 is a flowchart illustrating a method in which the beamforming unit 130 calculates an optimal beamforming vector.

First, the beamforming unit 130 may determine the beamforming vector such that the virtual signal-to-interference noise ratio has a maximum value using Equation 4 (S410). The beamforming vector may include a beamforming vector for the first receiving terminal and a beamforming vector for the second receiving terminal.

In this case, in equation (4)

Figure 112012010443379-pat00015
Once fixed (ie, assumed to be a constant), the beamforming vector can be determined such that the virtual signal-to-interference noise ratio has a maximum value. The beamforming vector thus obtained may be expressed as in Equation 5.

Figure 112012010443379-pat00016

N 0 means the average power of the noise signal added to each receiving terminal antenna.

As represented by Equation 5, the beamforming vector may be expressed as a function of the interference specific gravity control coefficient.

In operation S420, the beamforming unit 130 may determine the interference specific gravity adjustment coefficient such that the sum of the virtual signal-to-interference noise ratio and the data rate have the maximum value in the same beamforming vector. That is, the interference specificity adjustment coefficient may be determined such that the derivative of Equation 3 with respect to the beamforming vector and the derivative with Equation 4 with respect to the beamforming vector are the same. In this case, global channel information may be considered or only local channel information may be considered. Global channel information means information on all channels, and local channel information means information on a channel associated with a corresponding base station. For example, in an environment in which two base stations interfere with each other, when channel information is represented by h k , i , local channel information becomes h 1 , 1 , h 1 , 2 at the base station 1 entry.

When the interference specific gravity adjustment coefficient is determined in the above manner, the interference specific gravity adjustment coefficient may be expressed as a function of the beamforming vector.

The beamforming unit 130 mutually applies the beamforming vector expressed as a function of the interference density control coefficient and the interference density adjusting coefficient expressed as a function of the beamforming vector, thereby optimizing the beamforming vector and the interference density adjusting coefficient. The value can be calculated.

For example, the interference density control coefficient expressed as a function of the beamforming vector is applied to the beamforming vector expressed as a function of the interference density control coefficient to update the beamforming vector, and the updated beamforming vector is applied to the beamforming vector. The interference density control coefficient may be updated by applying the interference density control coefficient expressed as a function. The beamforming vector and the interference density control coefficient update process may be repeatedly performed to obtain an optimal beamforming vector.

For example, when the current updated beamforming vector and the previously updated beamforming vector are within a threshold value, the current updated beamforming vector may be determined as an optimal beamforming vector to be applied to the base station.

5 is a view comparing the performance of the signal processing method and the other signal processing method of the wireless communication base station related to one embodiment.

In the graph shown, Proposed VSINR centralized considers global channel information, and Proposed VSINR decentralized considers only local channel information. Proposed VSINR centralized and Proposed VSINR decentralized are superior to other cases.

As described above, the signal processing method and apparatus of the wireless base station according to an embodiment of the present invention can calculate the optimal beamforming vector in consideration of the weight of the receiving terminal. In addition, by calculating the beamforming vector using the sum of the data rate and the virtual signal to interference noise ratio including the interference specificity adjustment coefficient and the beamforming vector as variables, complexity of the operation may be reduced.

The above-described signal processing method of the wireless communication base station can be implemented in the form of program instructions that can be executed by various computer means and recorded in a computer-readable recording medium. In this case, the computer-readable recording medium may include program instructions, data files, data structures, and the like, alone or in combination. On the other hand, the program instructions recorded on the recording medium may be those specially designed and configured for the present invention or may be available to those skilled in the art of computer software.

The computer-readable recording medium includes a magnetic recording medium such as a magnetic medium such as a hard disk, a floppy disk and a magnetic tape, an optical medium such as a CD-ROM and a DVD, a magnetic disk such as a floppy disk, A magneto-optical media, and a hardware device specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like.

The recording medium may be a transmission medium such as an optical or metal wire, a waveguide, or the like including a carrier wave for transmitting a signal specifying a program command, a data structure, or the like.

In addition, program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

The signal processing method and signal processing apparatus of the wireless communication base station described as above may not be limitedly applied to the configuration and method of the above-described embodiments, but the embodiments may be modified in various ways so that various modifications may be made. Or some may be selectively combined.

BS: base station
100: signal processing device of base station
110: Information obtaining unit
120: rate determining unit
130: beam forming unit
140: communication unit
150:

Claims (12)

A signal processing method of a base station that performs beamforming in cooperation with a plurality of base stations in a multi-cell system,
Determining a sum of data rates of the receiving terminals corresponding to each of the plurality of base stations by applying weights of the receiving terminals; And
Calculating the interference weighting coefficient and the beamforming vector using the sum of the data rate and the virtual signal to interference noise ratio including the interference weighting coefficient and the beamforming vector as variables. Signal processing method. The method of claim 1, wherein the determining the sum of data rates is
Obtaining a weight, channel information, interference information, and noise information of a first receiving terminal corresponding to the base station;
Obtaining a weight, channel information, interference information, and noise information of a second receiving terminal corresponding to the cooperative base station; And
And determining the sum of the data rate of the first receiving terminal and the data rate of the second receiving terminal by using the obtained information. The method of claim 2, wherein the calculating of the interference specific gravity adjustment coefficient and the beamforming vector
Determining the beamforming vector such that the virtual signal-to-interference noise ratio has a maximum value with the interference specificity adjustment coefficient fixed; And
Determining the interference weighting adjustment coefficient such that the sum of the virtual signal to interference noise ratio and the data rate in the same beamforming vector have a maximum value; And
And updating the beamforming vector and the interference weight control coefficient by applying the determined beamforming vector and the interference weight control coefficient to each other. The method of claim 3, wherein the weight of the first receiving terminal and the weight of the second receiving terminal are
And at least one of information on data usage and information on quality of service. The method of claim 3, wherein the beamforming vector to be applied to the base station and the cooperative base station is
And a beamforming vector for the first receiving terminal and a beamforming vector for the second receiving terminal. The method of claim 3, wherein the channel information of the first receiving terminal and the channel information of the second receiving terminal is
Signal processing method of a wireless communication base station, characterized in that the local channel information of the base station. 1. A signal processing apparatus of a base station that performs beamforming in cooperation with a plurality of base stations in a multi-cell system,
A rate determining unit which determines a sum of data rates of the receiving terminals corresponding to each of the plurality of base stations by applying weights of the receiving terminals;
A beamforming unit configured to calculate the interference density control coefficient and the beamforming vector using the sum of the data rate and the virtual signal-to-interference noise ratio including the interference density control coefficient and the beamforming vector as variables; And
And a controller for controlling the rate controller and the beamforming vector calculator. The method of claim 7, wherein
The signal processing apparatus of the wireless communication base station includes weights, channel information, interference information and noise information of the first receiving terminal corresponding to the base station, and weights, channel information, interference information and noise information of the second receiving terminal corresponding to the cooperative base station. Further comprising an information obtaining unit for obtaining,
And the rate determining unit determines the sum of the data rate of the first receiving terminal and the data rate of the second receiving terminal by using the obtained information. The method of claim 8, wherein the beamforming unit
Determine the beamforming vector such that the virtual signal-to-interference noise ratio has a maximum value with the interference specificity adjustment coefficient fixed;
Determine the interference density control coefficient such that the sum of the virtual signal to interference noise ratio and the data rate have the maximum value in the same beamforming vector,
And applying the determined beamforming vector and the interference density control coefficient to each other to update the beamforming vector and the interference density control coefficient. 10. The method of claim 9, wherein the weight of the first receiving terminal and the weight of the second receiving terminal are
And at least one of information on data usage and information on quality of service. The method of claim 9, wherein the beamforming vector to be applied to the base station and the cooperative base station is
And a beamforming vector for the first receiving terminal and a beamforming vector for the second receiving terminal. The method of claim 9, wherein the channel information of the first receiving terminal and the channel information of the second receiving terminal is
And the local channel information of the base station.
KR1020120013060A 2012-02-09 2012-02-09 Method and apparatus for processing a signalin of wireless comunnication base station KR101275488B1 (en)

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Publication number Priority date Publication date Assignee Title
KR101490044B1 (en) 2013-09-26 2015-02-04 고려대학교 산학협력단 Method for processing a signal in wireless communication base station
CN111642014A (en) * 2020-04-17 2020-09-08 北京邮电大学 Beam determination method, device, base station and electronic equipment

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KR20060104200A (en) * 2005-03-29 2006-10-09 삼성전자주식회사 Random beamforming method of mimo system
KR20090105299A (en) * 2008-04-02 2009-10-07 삼성전자주식회사 Apparatus and method for beamforming based on generalized eigen analysis in a multiple input multiple output wireless communication system

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KR20060104200A (en) * 2005-03-29 2006-10-09 삼성전자주식회사 Random beamforming method of mimo system
KR20090105299A (en) * 2008-04-02 2009-10-07 삼성전자주식회사 Apparatus and method for beamforming based on generalized eigen analysis in a multiple input multiple output wireless communication system

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Publication number Priority date Publication date Assignee Title
KR101490044B1 (en) 2013-09-26 2015-02-04 고려대학교 산학협력단 Method for processing a signal in wireless communication base station
CN111642014A (en) * 2020-04-17 2020-09-08 北京邮电大学 Beam determination method, device, base station and electronic equipment
CN111642014B (en) * 2020-04-17 2022-04-29 北京邮电大学 Beam determination method, device, base station and electronic equipment

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