CN108199755B - Method and system for detecting ratio of codebook power to data pilot power of wireless communication - Google Patents

Method and system for detecting ratio of codebook power to data pilot power of wireless communication Download PDF

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CN108199755B
CN108199755B CN201810109999.1A CN201810109999A CN108199755B CN 108199755 B CN108199755 B CN 108199755B CN 201810109999 A CN201810109999 A CN 201810109999A CN 108199755 B CN108199755 B CN 108199755B
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CN108199755A (en
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吴江
徐伟强
史清江
吴呈瑜
占敖
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Zhejiang University of Technology ZJUT
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
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    • 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
    • H04B7/0413—MIMO systems
    • H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • 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
    • H04B7/0413—MIMO systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
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Abstract

The invention discloses a method and a system for detecting the ratio of codebook power to data pilot power in wireless communication, wherein the method comprises the following steps: performing correlation array calculation on the acquired codebook data and data pilot power ratio, and calculating a received signal correlation array, a service cell correlation array, an interference cell correlation array and a noise correlation array on unit granularity; carrying out decision matrix calculation on a received signal correlation matrix, a service cell correlation matrix, an interference cell correlation matrix and a noise correlation matrix, and calculating the norm of the decision matrix; and carrying out square sum operation on the elements of each group of obtained norms, comparing the square sums corresponding to all the groups of norms, determining the norm with the minimum square sum, and outputting codebook data corresponding to the minimum norm of the square sum and the data pilot frequency power ratio. The method and the system for detecting the ratio of the codebook to the data pilot frequency power of the wireless communication can effectively enhance the demodulation performance and improve the throughput of cell edge users, and have high practicability.

Description

Method and system for detecting ratio of codebook power to data pilot power of wireless communication
Technical Field
The invention relates to the field of wireless communication, in particular to a method and a system for detecting a codebook and data pilot frequency power ratio of wireless communication.
Background
In recent years, due to the rapid development of communication technology, computer technology, signal processing technology and network technology, the field of industrial wireless communication has undergone a comprehensive technological change, and the system architecture and the underlying technology are loaded, so that the system has the characteristics and development trends of digitization, intellectualization and networking. Industrial wireless communication is different from wireless cellular communication, and system indexes of the industrial wireless communication are required to be high in anti-interference capability, high in reliability, low in time delay, low in power consumption and high in safety, and compared with wireless cellular communication, the indexes of the industrial wireless communication are more precise.
The market space in the field of industrial wireless communication is extremely wide, and the intelligent degree is not high because the transmission of measurement and control signals of a plurality of factories is in the primary stage. The 2009 market data showed that there were 3000 HART devices worldwide. The growth of recent years and the next decade is certainly more rapid, and the plans of industry 4.0, China manufacture 2025 and the like have great impetus for the development of industrial wireless communication. Due to these demands, the standardization of industrial wireless communication is rapidly progressing, and currently, three international standards of WIA-PA, WirelessHART and ISA-100.11a are formed in the wireless technology field of the process industry. Two major trends are also shown in the field of industrial wireless standardization. One is that a great deal of mature standards for wireless signal transmission, for example, the WirelessHART standard uses the content of IEEE 802.15.4, for example, the key technology such as direct sequence spread spectrum is adopted. Secondly, the standards of wireless cellular networks are also penetrating into the field of industrial wireless communication. For example, URLLC is standardized as a single characteristic in 5G, and the application fields are mainly industrial wireless communication, smart home, and the like. The basic idea of the present invention is to enhance the modem technology in wireless cellular communication and apply it to the field of industrial wireless communication.
A receiver in a MIMO wireless communication system generally comprises steps of channel estimation, demodulation, decoding, etc., and assumes equal prior probabilities of respective transmitted bits at the receiver side. After decoding, if demodulation is performed again by using the decoded bit prior information, that is, an iterative detection technology is adopted, the demodulation performance of the receiver can be improved. It is well known in the art that MMSE-SIC techniques perform iterative detection. However, the detection performance of the iterative detection by the MMSE-SIC technique needs to be enhanced.
Disclosure of Invention
In view of the above technical problems, the present invention provides a method and a system for detecting a codebook and a data-to-pilot power ratio in wireless communication, which can effectively enhance demodulation performance and improve throughput of cell edge users.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows: a method for detecting codebook and data-to-pilot power ratio of wireless communication is provided, which comprises the following steps:
performing correlation array calculation on the acquired codebook data and data pilot power ratio, and calculating a received signal correlation array, a service cell correlation array, an interference cell correlation array and a noise correlation array on unit granularity;
performing decision matrix calculation on the received signal correlation matrix, the serving cell correlation matrix, the interference cell correlation matrix and the noise correlation matrix, and calculating a norm of a decision matrix;
and carrying out square sum operation on the elements of each acquired group of norms, comparing the square sums corresponding to all the norms, determining the norm with the minimum square sum, and outputting codebook data corresponding to the minimum norm of the square sum and the data pilot frequency power ratio.
Due to the adoption of the technical scheme, the invention achieves the technical effects that: the method for detecting the power ratio of the codebook and the data pilot frequency of the wireless communication can calculate the relevant array of the acquired codebook data and the power ratio of the data pilot frequency, and calculate the relevant array of the received signal, the relevant array of the service cell, the relevant array of the interference cell and the relevant array of the noise on unit granularity; carrying out decision matrix calculation on the correlation matrix, and calculating the norm of the decision matrix; and carrying out square sum operation on the elements of each group of obtained norms, comparing the square sums corresponding to all the groups of norms, and outputting codebook data corresponding to the minimum norm of the square sums and the data pilot frequency power ratio. According to the method for detecting the power ratio of the codebook and the data pilot frequency of the wireless communication, the power ratio of the codebook and the data pilot frequency of the adjacent interference cells can be detected, and then the joint channel estimation matrix of the cell and the adjacent interference cells is used for multi-cell joint demodulation, so that the demodulation performance is enhanced, the throughput of cell edge users is effectively improved, and the method has high practicability.
Preferably, in the above technical solution, the obtaining step of the codebook data is as follows:
and traversing the codebook set to acquire codebook data.
Preferably, in the above technical solution, the step of obtaining the data-to-pilot power ratio is as follows:
traversing the data pilot frequency power ratio set to obtain a data pilot frequency power ratio;
or:
vectorizing the received signal correlation array, the serving cell correlation array, the interfering cell correlation array and the noise correlation array, and performing vertical operation on the vectorized received signal correlation array, serving cell correlation array, interfering cell correlation array and noise correlation array to obtain a minimum value;
and according to the data pilot frequency power ratio set, carrying out hard decision on the minimum value to obtain data pilot frequency power corresponding to corresponding codebook data.
The system for detecting the ratio of the codebook to the data pilot power in wireless communication comprises a correlation matrix calculation device, a norm acquisition device and a data calculation device:
the correlation matrix calculating device is used for performing correlation matrix calculation on the acquired codebook data and data pilot power ratio and calculating a received signal correlation matrix, a service cell correlation matrix, an interference cell correlation matrix and a noise correlation matrix on unit granularity;
the norm acquisition device is configured to perform decision matrix calculation on the received signal correlation matrix, the serving cell correlation matrix, the interfering cell correlation matrix, and the noise correlation matrix, and calculate a norm of a decision matrix;
and the data calculation device is used for performing square sum operation on the acquired elements of each group of norms, comparing the square sums corresponding to all the groups of norms, determining the norm with the minimum square sum, and outputting the codebook data corresponding to the minimum norm of the square sum and the data pilot power ratio.
Due to the adoption of the technical scheme, the invention achieves the technical effects that: the detection system of the power ratio of the codebook and the data pilot frequency of the wireless communication can calculate the relevant array of the acquired codebook data and the power ratio of the data pilot frequency, and calculate the relevant array of the received signal, the relevant array of the service cell, the relevant array of the interference cell and the relevant array of the noise on unit granularity; carrying out decision matrix calculation on the correlation matrix, and calculating the norm of the decision matrix; and carrying out square sum operation on the elements of each group of obtained norms, comparing the square sums corresponding to all the groups of norms, and outputting codebook data corresponding to the minimum norm of the square sums and the data pilot frequency power ratio. According to the detection system for the power ratio of the codebook and the data pilot frequency of the wireless communication, the power ratio of the codebook and the data pilot frequency of the adjacent interference cell can be detected, and then the joint channel estimation matrix of the cell and the adjacent interference cell is used for multi-cell joint demodulation, so that the demodulation performance is enhanced, the throughput of cell edge users is effectively improved, and the high practicability is achieved.
Preferably, in the above technical solution, the detection system further includes a codebook data obtaining device;
the codebook data acquisition device is used for traversing the codebook set to acquire codebook data.
Preferably, in the above technical solution, the detection system further includes a data-to-pilot power ratio obtaining device;
the data pilot frequency power ratio acquisition device is used for traversing the data pilot frequency power ratio set to acquire a data pilot frequency power ratio;
or:
the device is used for vectorizing the received signal correlation array, the serving cell correlation array, the interfering cell correlation array and the noise correlation array, and performing vertical operation on the vectorized received signal correlation array, serving cell correlation array, interfering cell correlation array and noise correlation array to obtain a minimum value;
and according to the data pilot frequency power ratio set, carrying out hard decision on the minimum value to obtain data pilot frequency power corresponding to corresponding codebook data.
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The invention will be further described with reference to the accompanying drawings in which:
FIG. 1 is a flow chart of a method for detecting codebook and data-to-pilot power ratio for wireless communication according to the present invention;
fig. 2 is a schematic block diagram of a method for detecting a codebook and a data-to-pilot power ratio for wireless communication according to the present invention.
Detailed Description
As shown in fig. 1, the method for detecting a ratio between codebook and data pilot power in wireless communication provided by the present invention comprises the following steps:
performing correlation array calculation on the acquired codebook data and data pilot power ratio, and calculating a received signal correlation array, a service cell correlation array, an interference cell correlation array and a noise correlation array on unit granularity;
carrying out decision matrix calculation on a received signal correlation matrix, a service cell correlation matrix, an interference cell correlation matrix and a noise correlation matrix, and calculating the norm of the decision matrix;
and carrying out square sum operation on the elements of each group of obtained norms, comparing the square sums corresponding to all the groups of norms, determining the norm with the minimum square sum, and outputting codebook data corresponding to the minimum norm of the square sum and the data pilot frequency power ratio.
Wherein: the signal model for an interfering cell is modeled as:
Figure BDA0001568909800000061
wherein
Figure BDA0001568909800000062
To consider the precoding matrix and the equivalent channel estimation matrix after the data-to-pilot power ratio,
Figure BDA0001568909800000063
data to pilot power ratio, h, for interfering cells1For interfering cell channel estimation, p1The precoding vector to be estimated for the interfering cell is taken from a limited number of codebook sets S. Typically, for a 2-issue LTE system, a codebook of RANK1 and a codebook of RANK2 and SFBC are included. For the codebook of RANK2 and SFBC,
Figure BDA0001568909800000064
is 1/2 unit matrix, and the two fall into one category. The data-to-pilot power ratio also has a certain set P in the LTE system, where P also includes a zero power situation, corresponding to a situation where no data is sent by an interfering cell.
Correlation matrix calculation, which calculates a received signal correlation matrix, a serving cell correlation matrix, an interference cell correlation matrix, and a noise correlation matrix at a unit granularity (e.g., one RB or RBG in LTE);
Figure BDA0001568909800000065
Figure BDA0001568909800000066
Figure BDA0001568909800000067
PMI value for RANK 1;
Figure BDA0001568909800000068
for RANK2 and SFBC;
noise correlation matrix RnnThe method is obtained by calculation based on the pilot frequency points, and the calculation process is as follows:
Figure BDA0001568909800000071
wherein
Figure BDA0001568909800000072
The channel estimation value of the pilot frequency point of the serving cell.
Figure BDA0001568909800000073
The LS channel estimation value of the pilot point of the serving cell is equal to the result obtained by dividing the received signal at the pilot point by the local pilot sequence. And N is the number of pilot frequency points.
The calculation formula of the decision matrix is:
R(PMI，TPR)＝Ryy-Rhh0-TPRRhh1(PMI)-Rnn；
calculating Norm of R (PMI, TPR) and summing up square sums of elements of R (PMI, TPR) to obtain Norm (PMI, TPR), wherein a calculation formula of Norm (PMI, TPR) is as follows:
Figure BDA0001568909800000074
as an implementation manner, the codebook data obtaining step is as follows:
and traversing the codebook set to acquire codebook data.
As an implementation manner, the data-to-pilot power ratio obtaining step is as follows:
traversing the data pilot frequency power ratio set to obtain a data pilot frequency power ratio;
or:
vectorizing a received signal correlation array, a service cell correlation array, an interference cell correlation array and a noise correlation array, and performing vertical operation on the vectorized received signal correlation array, service cell correlation array, interference cell correlation array and noise correlation array to obtain a minimum value;
and according to the data pilot frequency power ratio set, carrying out hard decision on the minimum value to obtain the data pilot frequency power corresponding to the corresponding codebook data.
Due to the adoption of the technical scheme, the invention achieves the technical effects that: the method for detecting the power ratio of the codebook and the data pilot frequency of the wireless communication can calculate the relevant array of the acquired codebook data and the power ratio of the data pilot frequency, and calculate the relevant array of the received signal, the relevant array of the service cell, the relevant array of the interference cell and the relevant array of the noise on unit granularity; carrying out decision matrix calculation on the correlation matrix, and calculating the norm of the decision matrix; and carrying out square sum operation on the elements of each group of obtained norms, comparing the square sums corresponding to all the groups of norms, and outputting codebook data corresponding to the minimum norm of the square sums and the data pilot frequency power ratio. According to the method for detecting the power ratio of the codebook and the data pilot frequency of the wireless communication, the power ratio of the codebook and the data pilot frequency of the adjacent interference cells can be detected, and then the joint channel estimation matrix of the cell and the adjacent interference cells is used for multi-cell joint demodulation, so that the demodulation performance is enhanced, the throughput of cell edge users is effectively improved, and the method has high practicability.
As shown in fig. 2, the present invention further provides a system for detecting a ratio between codebook power and data pilot power in wireless communication, which includes a correlation matrix calculating device, a norm obtaining device, and a data calculating device:
the correlation matrix calculation device is used for performing correlation matrix calculation on the acquired codebook data and data pilot power ratio and calculating a received signal correlation matrix, a service cell correlation matrix, an interference cell correlation matrix and a noise correlation matrix on unit granularity;
the norm acquisition device is used for carrying out decision matrix calculation on a received signal correlation matrix, a service cell correlation matrix, an interference cell correlation matrix and a noise correlation matrix and calculating the norm of the decision matrix;
and the data calculation device is used for performing square sum operation on the acquired elements of each group of norms, comparing the square sums corresponding to all the groups of norms, determining the norm with the minimum square sum, and outputting codebook data corresponding to the minimum norm of the square sum and the data pilot frequency power ratio.
As an implementation manner, the detection system further comprises a codebook data acquisition device;
and the codebook data acquisition device is used for traversing the codebook set to acquire codebook data.
As an implementation manner, the detection system further includes a data-to-pilot power ratio obtaining device;
the data pilot frequency power ratio acquisition device is used for traversing the data pilot frequency power ratio set to acquire a data pilot frequency power ratio;
or:
the device is used for vectorizing a receiving signal correlation array, a service cell correlation array, an interference cell correlation array and a noise correlation array, and performing vertical operation on the vectorized receiving signal correlation array, service cell correlation array, interference cell correlation array and noise correlation array to obtain a minimum value;
and according to the data pilot frequency power ratio set, carrying out hard decision on the minimum value to obtain the data pilot frequency power corresponding to the corresponding codebook data.
Due to the adoption of the technical scheme, the invention achieves the technical effects that: the detection system of the power ratio of the codebook and the data pilot frequency of the wireless communication can calculate the relevant array of the acquired codebook data and the power ratio of the data pilot frequency, and calculate the relevant array of the received signal, the relevant array of the service cell, the relevant array of the interference cell and the relevant array of the noise on unit granularity; carrying out decision matrix calculation on the correlation matrix, and calculating the norm of the decision matrix; and carrying out square sum operation on the elements of each group of obtained norms, comparing the square sums corresponding to all the groups of norms, and outputting codebook data corresponding to the minimum norm of the square sums and the data pilot frequency power ratio. According to the detection system for the power ratio of the codebook and the data pilot frequency of the wireless communication, the power ratio of the codebook and the data pilot frequency of the adjacent interference cell can be detected, and then the joint channel estimation matrix of the cell and the adjacent interference cell is used for multi-cell joint demodulation, so that the demodulation performance is enhanced, the throughput of cell edge users is effectively improved, and the high practicability is achieved.
The foregoing embodiments are intended to illustrate that the invention may be implemented or used by those skilled in the art, and modifications to the above embodiments will be apparent to those skilled in the art, and therefore the invention includes, but is not limited to, the above embodiments, any methods, processes, products, etc., consistent with the principles and novel and inventive features disclosed herein, and fall within the scope of the invention.

Claims (6)

1. A method for detecting a codebook and data-to-pilot power ratio for wireless communications, comprising the steps of:
performing correlation array calculation on the acquired codebook data and data pilot power ratio, and calculating a received signal correlation array, a service cell correlation array, an interference cell correlation array and a noise correlation array on unit granularity;
and calculating a decision matrix for the received signal correlation matrix, the serving cell correlation matrix, the interference cell correlation matrix and the noise correlation matrix, and calculating a norm of the decision matrix, wherein a calculation formula of the decision matrix is as follows: r (PMI, TPR) ═ Ryy-Rhh0-TPR·Rhh1(PMI)-RnnWherein, in the step (A),
Figure FDA0002575411250000011
in order to receive the signal correlation matrix,
Figure FDA0002575411250000012
in order to serve the cell correlation matrix,
Figure FDA0002575411250000013
for the PMI value of RANK1,
Figure FDA0002575411250000014
for RANK2 and SFBC as interfering cell correlation matrices,
Figure FDA0002575411250000015
is a noise correlation matrix in which
Figure FDA0002575411250000016
Is a channel estimation value of a pilot point of a serving cell,
Figure FDA0002575411250000017
an LS channel estimation value of a pilot frequency point of a serving cell, wherein N is the number of the pilot frequency points, wherein: the signal model for an interfering cell is modeled as:
Figure FDA0002575411250000018
wherein
Figure FDA0002575411250000019
To consider pre-knittingA code matrix and an equivalent channel estimation matrix after the data-to-pilot power ratio,
Figure FDA00025754112500000110
data to pilot power ratio, h, for interfering cells1For interfering cell channel estimation, p1The precoding vector to be estimated for the interference cell is taken from a limited codebook set S;
and carrying out square sum operation on the elements of each acquired group of norms, comparing the square sums corresponding to all the norms, determining the norm with the minimum square sum, and outputting codebook data corresponding to the minimum norm of the square sum and the data pilot frequency power ratio.
2. The method for detecting codebook and data-to-pilot power ratio for wireless communication as claimed in claim 1, wherein said codebook data is obtained by the steps of:
and traversing the codebook set to acquire codebook data.
3. The method for detecting codebook and data-to-pilot power ratio in wireless communication according to claim 1, wherein said data-to-pilot power ratio is obtained by: traversing the data pilot frequency power ratio set to obtain a data pilot frequency power ratio;
or:
vectorizing the received signal correlation array, the serving cell correlation array, the interfering cell correlation array and the noise correlation array, and performing vertical operation on the vectorized received signal correlation array, serving cell correlation array, interfering cell correlation array and noise correlation array to obtain a minimum value;
and according to the data pilot frequency power ratio set, carrying out hard decision on the minimum value to obtain data pilot frequency power corresponding to corresponding codebook data.
4. A detection system for codebook and data-to-pilot power ratio of wireless communication is characterized by comprising a correlation matrix calculation device, a norm acquisition device and a data calculation device:
the correlation matrix calculating device is used for performing correlation matrix calculation on the acquired codebook data and data pilot power ratio and calculating a received signal correlation matrix, a service cell correlation matrix, an interference cell correlation matrix and a noise correlation matrix on unit granularity;
the norm obtaining device is configured to perform decision matrix calculation on the received signal correlation matrix, the serving cell correlation matrix, the interfering cell correlation matrix, and the noise correlation matrix, and calculate a norm of a decision matrix, where a calculation formula of the decision matrix is: r (PMI, TPR) ═ Ryy-Rhh0-TPR·Rhh1(PMI)-RnnWherein, in the step (A),
Figure FDA0002575411250000021
in order to receive the signal correlation matrix,
Figure FDA0002575411250000022
in order to serve the cell correlation matrix,
Figure FDA0002575411250000023
for the PMI value of RANK1,
Figure FDA0002575411250000024
for RANK2 and SFBC as interfering cell correlation matrices,
Figure FDA0002575411250000025
is a noise correlation matrix in which
Figure FDA0002575411250000026
Is a channel estimation value of a pilot point of a serving cell,
Figure FDA0002575411250000027
an LS channel estimation value of a pilot frequency point of a serving cell, wherein N is the number of the pilot frequency points, wherein: the signal model for an interfering cell is modeled as:
Figure FDA0002575411250000028
wherein
Figure FDA0002575411250000029
To consider the precoding matrix and the equivalent channel estimation matrix after the data-to-pilot power ratio,
Figure FDA00025754112500000210
data to pilot power ratio, h, for interfering cells1For interfering cell channel estimation, p1The precoding vector to be estimated for the interference cell is taken from a limited codebook set S;
and the data calculation device is used for performing square sum operation on the acquired elements of each group of norms, comparing the square sums corresponding to all the groups of norms, determining the norm with the minimum square sum, and outputting the codebook data corresponding to the minimum norm of the square sum and the data pilot power ratio.
5. The system for detecting codebook and data-to-pilot power ratio for wireless communication of claim 4, wherein said detecting system further comprises codebook data obtaining means;
the codebook data acquisition device is used for traversing the codebook set to acquire codebook data.
6. The system for detecting codebook and data-to-pilot power ratio for wireless communication according to claim 4, wherein said detecting system further comprises a data-to-pilot power ratio obtaining means;
the data pilot frequency power ratio acquisition device is used for traversing the data pilot frequency power ratio set to acquire a data pilot frequency power ratio;
or:
the device is used for vectorizing the received signal correlation array, the serving cell correlation array, the interfering cell correlation array and the noise correlation array, and performing vertical operation on the vectorized received signal correlation array, serving cell correlation array, interfering cell correlation array and noise correlation array to obtain a minimum value;
and according to the data pilot frequency power ratio set, carrying out hard decision on the minimum value to obtain data pilot frequency power corresponding to corresponding codebook data.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102075959A (en) * 2011-01-07 2011-05-25 西安电子科技大学 Coordinated beamforming method under CoMP in LTE-A system
CN103731384A (en) * 2013-12-19 2014-04-16 华为技术有限公司 Method and device for suppressing interference
EP2127117B1 (en) * 2007-01-31 2016-08-10 Telefonaktiebolaget LM Ericsson (publ) Mmse channel estimation in a communications receiver

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2127117B1 (en) * 2007-01-31 2016-08-10 Telefonaktiebolaget LM Ericsson (publ) Mmse channel estimation in a communications receiver
CN102075959A (en) * 2011-01-07 2011-05-25 西安电子科技大学 Coordinated beamforming method under CoMP in LTE-A system
CN103731384A (en) * 2013-12-19 2014-04-16 华为技术有限公司 Method and device for suppressing interference

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
《大规模ＭＩＭＯ蜂窝网络中导频功率控制的改进方法》;程彬 et al.;《安徽大学学报》;20170131;第41卷(第1期);1-6 *

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