CN108809872B - Interference management method based on interference regeneration in wireless communication system - Google Patents

Interference management method based on interference regeneration in wireless communication system Download PDF

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CN108809872B
CN108809872B CN201810560689.1A CN201810560689A CN108809872B CN 108809872 B CN108809872 B CN 108809872B CN 201810560689 A CN201810560689 A CN 201810560689A CN 108809872 B CN108809872 B CN 108809872B
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李钊
陈杰
肖丽媛
甄露
赵林靖
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Xidian University
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/03Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H04L25/03006Arrangements for removing intersymbol interference
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/03Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H04L25/03891Spatial equalizers
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/022Site diversity; Macro-diversity
    • H04B7/024Co-operative use of antennas of several sites, e.g. in co-ordinated multipoint or co-operative multiple-input multiple-output [MIMO] systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413MIMO systems
    • H04B7/0456Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting

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Abstract

The invention belongs to the technical field of wireless communication and discloses an interference management method based on interference regeneration in a wireless communication system.A transmitter shares channel state information and data information, and a transmitter corresponding to an interfered receiver constructs an interference regeneration signal according to the information; and the transmitter corresponding to the interfered receiver sends an interference regeneration signal, and the interfered receiver performs matched filtering on the received mixed signal consisting of the interference and the interference regeneration signal to regenerate expected data from the interference. The invention has the advantages of converting the interference into the expected signal, improving the spectrum efficiency of the interfered receiver by utilizing the energy of the interference, and being capable of solving the interference problem in wireless communication; an IRC signal for interference regeneration is constructed at the pico base station PBS using the relative representation of the data symbols, and the desired signal of the PUE is regenerated from the interference after filtering using the interaction between the radio signals.

Description

Interference management method based on interference regeneration in wireless communication system
Technical Field
The invention belongs to the technical field of wireless communication, and particularly relates to an interference management method based on interference regeneration in a wireless communication system.
Background
Currently, the current state of the art commonly used in the industry is such that: with the development of wireless communication technology, wireless communication networks will include multiple types of communication systems and carry diverse user services. With the layering and isomerization of network structures and the proposal of various dynamic spectrum sharing technologies, wireless interference becomes one of the key factors restricting the network performance. Thus, the importance of interference management techniques is becoming increasingly prominent. Conventionally, resource allocation, such as Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Code Division Multiple Access (CDMA), etc., or signal processing means, such as Interference Alignment (IA) and zero-forcing beamforming (ZFBF), have been used to control the negative effects caused by interference by changing the characteristics of the interference. IN the prior art, interference guidance management interference IS designed on the basis of Interference Neutralization (IN) and Interference Alignment (IA), an interference guidance (IS) mechanism IS designed, interference guidance signals are constructed by utilizing the interaction between wireless signals, interference observed by an interfered receiver IS guided to a direction orthogonal to the characteristics of expected signals, and the interference-free transmission of the expected signals IS realized. In the physical layer network coding of the two algebraic methods in the prior art, a new physical layer network coding scheme is designed by a grid partitioning method, and the method shows that the interference in a wireless network can be utilized by using a coding and decoding technology instead of simply regarding the interference as a harmful signal. In the prior art, based on the energy acquisition, the throughput of a primary user interfered cognitive relay network is researched, the throughput of a secondary user interfered by the primary user in the cognitive relay network is analyzed, and the relay is provided with an energy acquisition device for supplying energy and can assist a secondary user to send information from a secondary user transmitter to a secondary user receiver in a decoding and forwarding mode. The above-mentioned techniques need to eliminate the interference effect at the expense of losing part of the power of the interfering communication pair or the interfered communication pair, thereby causing the spectrum efficiency of the system to be reduced, and further causing the performance of the system to be degraded.
In summary, the problems of the prior art are as follows: existing interference management methods still consider interference as a negative factor affecting communications, ignoring the possibility that the interference may contain useful information, or that information carried by the interference may be converted into useful information by some means. Therefore, the conventional interference management method always pays a corresponding cost to eliminate the negative influence of interference, thereby causing performance degradation of the communication system.
The difficulty and significance for solving the technical problems are as follows:
the difficulty in solving the above problems lies in: how to obtain positive factors in interference and how to fully utilize information extracted from the interference to improve the performance of the communication system. The significance lies in that: interference no longer has negative influence on the expected communication, and the expected signal can be regenerated by utilizing the information of the interference, thereby greatly improving the performance of the communication system.
Disclosure of Invention
In view of the problems in the prior art, the present invention provides an interference management method based on interference regeneration in a wireless communication system.
The invention is realized in such a way that an interference management method based on interference regeneration in a wireless communication system shares channel state information and data information among transmitters of the interference management method based on interference regeneration in the wireless communication system, and a transmitter corresponding to an interfered receiver constructs an interference regeneration signal according to the information; and the transmitter corresponding to the interfered receiver sends an interference regeneration signal, and the interfered receiver performs matched filtering on the received mixed signal consisting of the interference and the interference regeneration signal to regenerate expected data from the interference.
Further, the interference management method based on interference regeneration in the wireless communication system comprises the following steps:
step one, sharing channel state information and data information between a micro base station PBS and a macro base station MBS;
step two, the pico base station PBS uses the shared information to calculate the data x carried by the Interference Regeneration (IRC) signalRcTo construct IRC data xRc
Step three, the pico base station PBS adopts a precoding vector pRcSending IRC data, wherein the expected data of the MUE of the macro user is sent by a macro base station MBS, interference is caused at the PUE of the pico user, and the PUE of the pico user adopts a filter vector f0The received signal is matched filtered and the IRC signal is used to regenerate the desired signal from interference. The pico base station PBS transmits the value of the real number coefficient α to the pico user PUE through a dedicated control channel, and demodulates the desired data from the reproduced desired signal.
Further, the first step comprises:
(1) estimation of pico-user PUE and macro-user MUE separatelyChannel state information between the base station and the self is calculated and fed back to the respective associated base station: the macro base station MBS broadcasts pilot signals to macro cellular user MUE and pico cellular user PUE, meanwhile, the pico base station PBS broadcasts pilot signals to the pico cellular user PUE, and the macro cellular user MUE estimates the channel state information h from the macro base station MBS to the macro cellular user MUE according to the pilot signals1The pico-cell user PUE estimates the interference channel state information h from the macro base station MBS to the pico-cell user PUE according to the pilot signals broadcast by the macro base station MBS and the pico-cell base station PBS10And expected channel state information h of the pico base station PBS to the pico cell user PUE0
(2) The macro-cell user MUE uses a low-speed error-free feedback link to transmit the channel state information h from the macro-base station MBS to the macro-cell user MUE1Feeding back to the macro base station MBS, selecting a special control channel by the PUE of the micro-honeycomb user, and interfering the state information h of the channel10And expected channel state information h0Feeding back to the pico base station PBS, and sharing the channel state information and the expected data x of the macro base station MBS by the mutual cooperation between the base stations of the macro base station MBS and the pico base station PBS1And expected data x of pico base station PBS0
Further, the second step comprises:
(1) pico base station PBS to channel state information h0And h1Singular value decomposition is carried out to obtain a precoding vector p of a macro base station MBS sending signal1And a precoding vector p of an IRC signal transmitted by a pico base station PBSRcAnd matched filter vector f of pico user PUE0
(2) Pico base station PBS sets IRC data xRcAmplitude of (p)Rc=1;
(3) From IRC data xRcAmplitude of (p)RcFinding the real number coefficient as 1
Figure BDA0001683219850000031
Wherein a ═ Re (β) ρ1cosθ1-Im(β)ρ1sinθ1,B=Re(β)ρ1sinθ1+Im(β)ρ1cosθ1
Figure BDA0001683219850000032
Figure BDA0001683219850000033
Re () and Im () denote the real part and the imaginary part of the complex number, respectively; rho1And theta1Transmission data x respectively representing macro base station MBS1The amplitude and phase of (d); pTRepresenting the transmitting power of the PBS and the MBS;
(4) when the alpha is not solved, adopting an interference-free management communication mode between the PBS and the PUE of the pico-user; when alpha has a unique solution, directly using an interference regeneration method; when alpha has two solutions, taking alpha as max { | alpha+|,|α-L }; then substituting alpha into
Figure BDA0001683219850000041
Where ρ is0And theta0Expected data x respectively representing pico user PUE0Can obtain IRC data xRcPhase of (a)Rc
(5) From the amplitude ρ of IRC dataRcAnd phase thetaRcAnd constructing IRC data transmitted by the PBS
Figure BDA0001683219850000042
Another object of the present invention is to provide a wireless communication system applying the interference management method based on interference regeneration in the wireless communication system.
In summary, the advantages and positive effects of the invention are: for downlink transmission of a hybrid cellular system in which macro cells and pico cells coexist, an IRC signal for interference regeneration is constructed at a pico base station PBS (cell site) by using the relative representation relation of data symbols, and the expected signal of the PUE can be regenerated from interference after the PUE of a pico cell user is filtered by using the interaction between wireless signals.
The invention transmits IRC-carrying data x at the PBSRcIRC signal ofCarrying expected data x0After the pico user PUE is filtered, the expected signal can be regenerated
Figure BDA0001683219850000043
The invention converts the information carried by the interference from the macro base station MBS into useful information, thereby realizing the utilization of interference energy and improving the frequency spectrum efficiency of the PUE of the pico user. The invention is not only suitable for the condition of single interference of single expected data flow, but also suitable for the more general conditions of single interference of multi-path expected data flow, multi-path interference of single expected data flow and multi-path interference of multi-path expected data flow.
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Fig. 1 is a flowchart of an interference management method based on interference regeneration in a wireless communication system according to an embodiment of the present invention.
Fig. 2 is a diagram of a hybrid cellular system model for use in accordance with an embodiment of the present invention.
Fig. 3 is a flowchart of an implementation of an interference management method based on interference regeneration in a base wireless communication system according to an embodiment of the present invention.
FIG. 4 is a schematic diagram of an embodiment of the present invention
Figure BDA0001683219850000051
Next, PUE spectrum efficiency maps of different interference management methods.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention aims to convert information carried by interference into useful information, effectively utilize the interference and further improve the frequency spectrum efficiency of the picocell user.
The following detailed description of the principles of the invention is provided in connection with the accompanying drawings.
As shown in fig. 1, an interference management method based on interference regeneration in a wireless communication system according to an embodiment of the present invention includes the following steps:
s101: the transmitters share channel state information and data information, and the transmitters corresponding to the interfered receivers construct interference regeneration signals according to the information;
s102: and the transmitter corresponding to the interfered receiver sends an interference regeneration signal, and the interfered receiver performs matched filtering on the received mixed signal consisting of the interference and the interference regeneration signal to regenerate expected data from the interference.
The application of the principles of the present invention will now be described in further detail with reference to the accompanying drawings.
As shown in fig. 2, the system model used in the present invention is a hybrid cellular downlink communication system composed of a single macro cell and a single pico cell, and the system includes 1 macro base station MBS, 1 pico base station PBS, multiple macro cell users MUE, and multiple pico cell users PUE. Since the interference between picocells can be avoided by reasonable deployment of operators or orthogonal resource allocation, and one resource block is only allocated to one user in one macro/picocell, based on this, we simplify the system model to the case of only containing 1 MUE and 1 PUE. The macro base station MBS, the macro cell user MUE, the pico base station PBS and the pico cell user PUE are respectively provided with the antenna numbers of
Figure BDA0001683219850000052
And
Figure BDA0001683219850000053
the pico base station PBS sends an IRC signal to the PUE of the pico cell, the macro base station MBS sends an expected signal to the MUE of the macro user to generate interference to the PUE of the pico cell, and the pico cell works in an open access mode.
As shown in fig. 3, the interference management method based on interference regeneration according to the embodiment of the present invention specifically includes the following steps:
step 1, sharing channel state information and data information between the pico base station PBS and the macro base station MBS is realized, and the realization steps are as follows:
step 1a, respectively estimating channel state information between the pico user PUE and the macro user MUE and feeding back the channel state information to respective associated base stations:
the macro base station MBS broadcasts pilot signals to macro cellular user MUE and pico cellular user PUE, meanwhile, the pico base station PBS broadcasts pilot signals to the pico cellular user PUE, and the macro cellular user MUE estimates the channel state information h from the macro base station MBS to the macro cellular user MUE according to the pilot signals1The pico-cell user PUE estimates the interference channel state information h from the macro base station MBS to the pico-cell user PUE according to the pilot signals broadcast by the macro base station MBS and the pico-cell base station PBS10And expected channel state information h of the pico base station PBS to the pico cell user PUE0
Step 1b, the macro cell user MUE uses a low-speed error-free feedback link to transmit the channel state information h from the macro base station MBS to the macro cell user MUE1Feeding back to the macro base station MBS, selecting a special control channel by the PUE of the micro-honeycomb user, and interfering the state information h of the channel10And expected channel state information h0Feeding back to the pico base station PBS, and sharing the channel state information and the expected data x of the macro base station MBS by the mutual cooperation between the base stations of the macro base station MBS and the pico base station PBS1And expected data x of pico base station PBS0
Step 2, the pico base station PBS uses the shared information to calculate the data x carried by the Interference Regeneration (IRC) signalRcTo the amplitude and phase of the data to construct IRC data xRcThe method comprises the following implementation steps:
step 2a, the channel state information h of the pico base station PBS0And h1Singular value decomposition is carried out to obtain a precoding vector p of a macro base station MBS sending signal1And a precoding vector p of an IRC signal transmitted by a pico base station PBSRcAnd matched filter vector f of pico user PUE0
Step 2b, the pico base station PBS sets IRC data xRcAmplitude of (p)Rc=1;
Step 2c, from IRC data xRcAmplitude of (p)RcFinding the real number coefficient as 1
Figure BDA0001683219850000071
Wherein,A=Re(β)ρ1cosθ1-Im(β)ρ1sinθ1,B=Re(β)ρ1sinθ1+Im(β)ρ1cosθ1
Figure BDA0001683219850000072
Re () and Im () denote the real part and the imaginary part of the complex number, respectively; rho1And theta1Transmission data x respectively representing macro base station MBS1The amplitude and phase of (d); pTRepresenting the transmitting power of the PBS and the MBS;
step 2d, when the alpha is not solved, adopting a communication mode of non-interference management between the PBS and the PUE of the pico-user; when alpha has a unique solution, the interference regeneration method can be directly used; when alpha has two solutions, taking alpha as max { | alpha+|,|α-L }; then substituting alpha into
Figure BDA0001683219850000073
Where ρ is0And theta0Expected data x respectively representing pico user PUE0Can obtain IRC data xRcPhase of (a)Rc
Step 2e, according to the amplitude rho of the IRC dataRcAnd phase thetaRcAnd constructing IRC data transmitted by the PBS
Figure BDA0001683219850000074
Step 3, the pico base station PBS adopts a precoding vector pRcSending IRC data, wherein the expected data of the MUE of the macro user is sent by a macro base station MBS, interference is caused at the PUE of the pico user, and the PUE of the pico user adopts a filter vector f0The received signal is matched filtered and the IRC signal is used to regenerate the desired signal from interference. The pico base station PBS transmits the value of the real number coefficient α to the pico user PUE through a dedicated control channel, and demodulates the desired data from the reproduced desired signal.
The following describes the application of the present invention in detail with reference to the accompanying drawings.
1. Simulation conditions are as follows:
simulation object: the interference regeneration based interference management algorithm (IRC) proposed herein IS compared to point-to-point MIMO communication (P2P MIMO) and Interference Steering (IS). Wherein, P2P MIMO is the communication between the pico base station PBS and the pico user PUE without interference; interference Steering (IS) uses a steering signal to steer the interference observed by the PUE of the pico-user to a direction orthogonal to the expected signal characteristics of the PUE, thereby realizing interference-free communication of the pico-communication pair.
Simulation parameters: the same power P is adopted by the PBS and the MBS of the macro base station of the hybrid cellular systemTTransmitting single channel data respectively, signal to noise ratio
Figure BDA0001683219850000081
Has a value range of [ -10,20 ]]dB,
Figure BDA0001683219850000082
Is the noise power.
Figure BDA0001683219850000083
Wherein,
Figure BDA0001683219850000084
and
Figure BDA0001683219850000085
respectively the number of transmit and receive antennas of the macro base station MBS,
Figure BDA0001683219850000086
and
Figure BDA0001683219850000087
the number of transmit and receive antennas of the pico base station PBS, respectively.
2. Simulation content and analysis:
when in use
Figure BDA0001683219850000088
The spectral efficiency of the picocell user PUE was simulated, and the result is shown in fig. 4, where the vertical axis represents the spectral efficiency,the horizontal axis represents signal-to-noise ratio, which achieves spectral efficiency better than P2P MIMO, since IRC efficiently uses the energy of the interference, converting it into the desired signal. Interference Steering (IS) IS implemented at the transmitter corresponding to the interfered receiver, and the power overhead for generating the steering signal results in the IS being less spectrally efficient than the P2P MIMO and IRC methods.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (2)

1. An interference management method based on interference regeneration in a wireless communication system is characterized in that channel state information and data information are shared among transmitters, and a transmitter corresponding to an interfered receiver constructs an interference regeneration signal according to the information; the transmitter corresponding to the interfered receiver sends an interference regeneration signal, and the interfered receiver performs matched filtering on the received mixed signal consisting of the interference and the interference regeneration signal and regenerates expected data from the interference;
the interference management method based on interference regeneration comprises the following steps:
step one, sharing channel state information and data information between a micro base station PBS and a macro base station MBS;
step two, the pico base station PBS uses the shared information to calculate the data x carried by the Interference Regeneration (IRC) signalRcTo construct IRC data xRc
Step three, the pico base station PBS adopts a precoding vector pRcSending IRC data, wherein the expected data of the MUE of the macro user is sent by a macro base station MBS, interference is caused at the PUE of the pico user, and the PUE of the pico user adopts a filter vector f0Performing matched filtering on the received signal, and regenerating an expected signal from interference by using an IRC signal; the pico base station PBS transmits the value of the real number coefficient alpha to the pico user PUE through a special control channel, and then demodulates expected data from the regenerated expected signal;
the first step comprises the following steps:
(1) the pico-user PUE and the macro-user MUE respectively estimate the channel state information between the pico-user PUE and the macro-user MUE and feed back the channel state information to the respective associated base stations: the macro base station MBS broadcasts pilot signals to macro cellular user MUE and pico cellular user PUE, meanwhile, the pico base station PBS broadcasts pilot signals to the pico cellular user PUE, and the macro cellular user MUE estimates the channel state information h from the macro base station MBS to the macro cellular user MUE according to the pilot signals1The pico-cell user PUE estimates the interference channel state information h from the macro base station MBS to the pico-cell user PUE according to the pilot signals broadcast by the macro base station MBS and the pico-cell base station PBS10And expected channel state information h of the pico base station PBS to the pico cell user PUE0
(2) The macro-cell user MUE uses a low-speed error-free feedback link to transmit the channel state information h from the macro-base station MBS to the macro-cell user MUE1Feeding back to the macro base station MBS, selecting a special control channel by the PUE of the micro-honeycomb user, and interfering the state information h of the channel10And expected channel state information h0Feeding back to the pico base station PBS, and sharing the channel state information and the expected data x of the macro base station MBS by the mutual cooperation between the base stations of the macro base station MBS and the pico base station PBS1And expected data x of pico base station PBS0
The second step comprises the following steps:
(1) pico base station PBS to channel state information h0And h1Singular value decomposition is carried out to obtain a precoding vector p of a macro base station MBS sending signal1And a precoding vector p of an IRC signal transmitted by a pico base station PBSRcAnd matched filter vector f of pico user PUE0
(2) Pico base station PBS sets IRC data xRcAmplitude of (p)Rc=1;
(3) From IRC data xRcAmplitude of (p)RcFinding the real number coefficient as 1
Figure FDA0003180962010000021
Wherein a ═ Re (β) ρ1cosθ1-Im(β)ρ1sinθ1,B=Re(β)ρ1sinθ1+Im(β)ρ1cosθ1
Figure FDA0003180962010000022
Figure FDA0003180962010000023
Re () and Im () denote the real part and the imaginary part of the complex number, respectively; rho1And theta1Transmission data x respectively representing macro base station MBS1The amplitude and phase of (d); pTRepresenting the transmitting power of the PBS and the MBS;
(4) when the alpha is not solved, adopting an interference-free management communication mode between the PBS and the PUE of the pico-user; when alpha has a unique solution, directly using an interference regeneration method; when alpha has two solutions, taking alpha as max { | alpha+|,|α-L }; then substituting alpha into
Figure FDA0003180962010000024
Where ρ is0And theta0Expected data x respectively representing pico user PUE0Can obtain IRC data xRcPhase of (a)Rc
(5) From the amplitude ρ of IRC dataRcAnd phase thetaRcAnd constructing IRC data transmitted by the PBS
Figure FDA0003180962010000025
2. A wireless communication system applying the interference management method based on interference regeneration in the wireless communication system according to claim 1.
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