CN103297112A - Method and device utilizing distributed antenna to receive data - Google Patents

Method and device utilizing distributed antenna to receive data Download PDF

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CN103297112A
CN103297112A CN2012100542701A CN201210054270A CN103297112A CN 103297112 A CN103297112 A CN 103297112A CN 2012100542701 A CN2012100542701 A CN 2012100542701A CN 201210054270 A CN201210054270 A CN 201210054270A CN 103297112 A CN103297112 A CN 103297112A
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frequency domain
antenna
channel
antenna channel
time domain
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CN103297112B (en
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任斌
周灏
李琼
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China Academy of Telecommunications Technology CATT
Datang Mobile Communications Equipment Co Ltd
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Abstract

The invention discloses a method and device utilizing a distributed antenna to receive data. The method includes the steps of determining quality of a received signal of each antenna channel for a same user, screening the antenna channels with the quality of the received signals meeting set requirements, and processing a frequency domain received signal of each screened antenna channel from the user, and obtaining information resource bits from the user. According to the method and device utilizing the distributed antenna to receive the data, the antenna channels are screened according to the quality of the received signals, and processing complexity can be effectively reduced; reliability of the received signals on the screened antenna channels is high, and in comparison with the prior art, detecting reliability is improved.

Description

Method and device for receiving data by using distributed antenna
Technical Field
The present invention relates to the field of wireless communications technologies, and in particular, to a method and an apparatus for receiving data using distributed antennas.
Background
Certain specific scenarios exist in cellular wireless mobile communication networks, such as: indoor and outdoor junction zones; different floors and areas are covered indoors; highway, railway, subway, and under-tower blind spot. Under the scenes, when the terminal moves rapidly, the general situations that signal fading changes rapidly, reselection and switching are not set well, and if the setting is unreasonable, frequent signaling interaction is easily caused, call drop is caused, and the perception of a client is influenced are generally existed. For the switching problem of these scenes, the conventional implementation or optimization method has certain defects.
In order to solve the problems of the conventional scheme, a distributed antenna technology, namely a cell merging technology, is proposed in the actual networking of an LTE (Long Term Evolution) system, and multiple RRUs (Radio Remote units ) are configured in the same logical cell to perform cell merging, which is equivalent to enlarging the coverage of the logical cell. The distributed antenna technology reduces the switching and reselection times in the coverage area and reduces signaling interaction, thereby reducing the switching call drop rate.
As shown in fig. 1, which is a typical scenario diagram of an LTE system employing a distributed antenna technology, two RRUs are connected to a same BBU (Base Band Unit), and outdoor uplink cells of the two RRUs are merged. Wherein, the BBU comprises outdoor BBU and indoor BBU.
The receiver detection method is mainly considered when the distributed antenna technology is adopted in the LTE system. In the uplink receiving direction, after data detection, received data from the same user of different RRUs in the same logical cell are combined, which is equivalent to improving the receiving gain through a form of space diversity.
A receiver in an LTE system generally uses a joint detection method to perform joint detection on frequency domain data on antennas corresponding to all RRUs, as shown in fig. 2, the specific process is as follows:
all the RRUs corresponding to the BBU of the eNB (evolved nodeb) transmit time domain data received on their respective antennas to the BBU, and the BBU of the eNB performs OFDM (Orthogonal Frequency Division Multiplexing) demodulation on the time domain data of each antenna of the plurality of RRUs, respectively, to obtain Frequency domain data received from each antenna of the plurality of RRUs;
performing channel estimation by using pilot frequency pilot to obtain frequency domain channel responses corresponding to each antenna of a plurality of RRUs;
performing joint detection on the received frequency domain data by using the frequency domain channel response, specifically performing joint frequency domain equalization on the frequency domain data and the frequency domain channel response received from each antenna of a plurality of RRUs;
and transforming the frequency domain soft symbol obtained after the joint frequency domain equalization to a time domain through IDFT (Inverse Discrete Fourier transform) to obtain a time domain soft symbol, demodulating the time domain soft symbol to obtain a time domain soft bit, and decoding to obtain an information source bit of the user.
When the joint detection is carried out, the data received by each antenna of a plurality of RRUs is equivalent to the received data from different antennas of the same RRU, so that the SDM detection method is adopted.
In a space division multiplexing scenario, it is assumed that the number of antennas at a signal transmitting end is M, and the number of antennas at a signal receiving end is N. The SDM detection method comprises the following specific processes:
recording the frequency domain signal vector sent on the k sub-carrier as sk=[s1(k)s2(k)…sM(k)]TWherein s ism(k) Is the kth subcarrier signal sent by the mth antenna, k represents the subcarrier index, k is more than or equal to 1 and less than or equal to Nsc,NscIndicating the number of sub-carriers, s, occupied by the user datakA column vector of M x 1;
frequency domain total signal vector r received on the k sub-carrierkComprises the following steps: r isk=[r1(k)r2(k)…rN(k)]TWherein r isn(k) Is shown on the nth antenna, the k subcarrierReceived frequency domain total signal, rkColumn vector of N x 1.
Additive noise vector W received on the k-th subcarrierkIs Wk=[W1(k)W2(k)…WN(k)]TWherein W isn(k) Represents the noise, W, received on the nth antenna, the kth subcarrierkColumn vector of N x 1.
For each subcarrier k, a channel response matrix H calculated by a channel estimation module using pilotskComprises the following steps:
the frequency domain equivalent receive channel model is then:
rk=Hksk+Wk
then, using a joint detection algorithm to consider the channel information of multiple antennas simultaneously, and determining a joint frequency domain equalization matrix according to the pilot channel response matrix Hk to obtain corresponding transmitted signal vectors on all transmitting antennas, specifically, determining the joint frequency domain equalization matrix by the joint channel equalizer in the following two ways:
mode 1, determining a joint frequency domain equalization matrix using Zero Forcing (ZF) detection algorithm
Then the frequency domain equalization matrix is combined
Figure BDA0000140339150000032
Calculating corresponding transmitted signal vectors on all transmitting antennas
Figure BDA0000140339150000033
Mode 2, determining a joint frequency domain equalization matrix using Minimum Mean Square Error (MMSE) detection algorithm
Then the frequency domain equalization matrix is combined w k = ( H k H H k + σ k 2 I M ) - 1 H k M ,
Calculating corresponding transmitted signal vectors on all transmitting antennas
Figure BDA0000140339150000035
Wherein,
Figure BDA0000140339150000036
is the noise power, IMAn identity matrix of M.
However, the existing joint detection method has the following defects:
1) in the process of joint detection processing, for a received symbol on each frequency domain subcarrier, an M x N joint frequency domain equalization matrix needs to be constructed and inversion operation is carried out, and when the uplink data volume of a user is large, the processing complexity is high;
2) when the UE is closer to a certain RRU and the other RRUs are farther away, the received signal power on some RRU channels is smaller and the received signal-to-interference-and-noise ratio is lower, and if the UE still uses joint detection, the reception performance will be reduced.
Disclosure of Invention
The invention provides a method and a device for receiving data by using distributed antennas, which are used for solving the problems that the received signal detection is complex and the detection performance is easy to deteriorate in the prior art.
The invention provides a method for receiving data by using distributed antennas, which comprises the following steps:
for the same user, determining the quality of the received signal on each antenna channel;
screening out antenna channels with the received signal quality meeting set requirements;
and processing the frequency domain receiving signals from the user on each screened antenna channel to obtain the information source bit from the user.
The present invention also provides an apparatus for receiving data using a distributed antenna, comprising:
a signal quality determining unit, configured to determine, for the same user, received signal quality on each antenna channel;
the channel screening unit is used for screening out antenna channels with the received signal quality meeting the set requirement;
and the signal processing unit is used for processing the frequency domain receiving signals from the users on the screened antenna channels to obtain the information source bits from the users.
The device for receiving data by using the distributed antenna has the following beneficial effects: because the antenna channel screening is carried out according to the quality of the received signal, the processing complexity can be effectively reduced; because the antenna channel is screened according to the quality of the received signal, the reliability of the received signal on the screened antenna channel is higher, and the detection reliability is improved compared with the prior art.
Drawings
Fig. 1 is a schematic diagram of a typical scenario in which a distributed antenna technology is adopted in an LTE system;
fig. 2 is a schematic diagram illustrating a conventional process for receiving data by using distributed antenna technology;
FIG. 3 is a flow chart of a method for receiving data using distributed antennas according to the present invention;
fig. 4 is a flowchart illustrating a method for receiving data by using distributed antennas according to embodiment 1 of the present invention;
fig. 5 is a flowchart illustrating a method for receiving data by using distributed antennas according to embodiment 2 of the present invention;
fig. 6 is a flowchart illustrating a method for receiving data by using distributed antennas according to embodiment 3 of the present invention;
fig. 7 is a flowchart illustrating a method for receiving data by using distributed antennas according to embodiment 4 of the present invention;
fig. 8 is a block diagram of an apparatus for receiving data using distributed antennas according to an embodiment of the present invention.
Detailed Description
The method and apparatus for receiving data by using distributed antennas according to the present invention will be described in more detail with reference to the accompanying drawings and embodiments.
For an uplink distributed antenna scenario, a joint detection method is generally adopted by a receiver of an eNB in an LTE system to perform joint detection on signals on all antenna channels, which has the problems of high implementation complexity and need to consider transmission delay between RRUs, and detection performance is deteriorated due to poor signal quality received by some antenna channels (for example, low received signal power or low signal-to-interference-plus-noise ratio SINR of the received signal).
To solve the problem, an embodiment of the present invention provides a method for receiving data by using distributed antennas, which is applied to an LTE system, and as shown in fig. 3, the method includes:
step 301, for the same user, determining the quality of the received signal on each antenna channel;
in particular, the received signal quality on the antenna channel may be determined using various parameters reflecting the received signal quality.
Step 302, screening out antenna channels with received signal quality meeting set requirements;
if the received signal quality is poor, it indicates that the signal quality of the antenna channels is poor and does not meet the set requirements, and the antenna channels with poor received signal quality are screened out, for example, the data on the antenna channels are discarded, that is, the data received from the antenna channels do not participate in the subsequent data processing.
Step 303, processing the frequency domain received signals from the user on each antenna channel screened out, to obtain the source bits from the user.
In the embodiment, because the antenna channels are screened according to the quality of the received signals, and some antenna channels with poor signal quality are screened, the processing complexity can be effectively reduced; because the antenna channel is screened according to the quality of the received signal, the reliability of the received signal on the screened antenna channel is higher, and the detection reliability is improved compared with the prior art.
The parameters for determining the quality of the received signal are various and can be flexibly determined according to needs, and preferably, for the same user, the determining the quality of the received signal on each antenna channel in this embodiment specifically includes:
OFDM symbol demodulation is carried out on the time domain receiving signals on each antenna channel to obtain frequency domain receiving signals from the same user on each antenna channel;
and determining the modulus value or the power value of the frequency domain received signal from the same user on each antenna channel, thereby determining the quality of the received signal on each antenna channel.
Before OFDM demodulation, the method may further include removing the pilot signal, and after OFDM demodulation, the method may further include removing the frequency offset.
Of course, the decision parameter of the received signal quality on a certain antenna channel includes, but is not limited to, a received signal modulus, a received signal power, and the like, and may also be, for example, a signal to interference plus noise ratio SINR of the received signal.
Preferably, screening out the antenna channels whose received signal quality meets the set requirement specifically includes:
screening out antenna channels with the modulus values of the frequency domain received signals higher than the set modulus values; or
And screening out the antenna channels with the power value of the frequency domain received signals higher than the set power value.
Currently, it may also be an antenna channel or other manners for screening out that the signal to interference plus noise ratio SINR of the received signal is higher than the set SINR.
Preferably, the set modulus/set power value is determined as follows:
determining the maximum module value/maximum power value of the frequency domain received signal from the same user on each antenna channel;
and multiplying the maximum module value/maximum power value by a setting coefficient to obtain a set module value/set power value, wherein the setting factor is a positive number smaller than 1.
Specifically, the setting factor may be set as required, for example, when the receiver has a good processing performance and the user data amount is small, the setting factor may have a small value between 0 and 1, and when the receiver has a poor processing performance and the user data amount is large, the setting factor may have a large value between 0 and 1.
Preferably, the setting may take a value of 0.5, or around 0.5.
Preferably, the method for receiving data by using distributed antennas is executed by a BBU of an eNodeB, and specifically, in a front-end processing module of the BBU, OFDM symbol demodulation and decision are performed on time-domain received signals on multiple antenna channels, that is, only when the quality of a frequency-domain received signal on a certain antenna channel is higher than a certain threshold value, the received signal on the antenna channel is output to participate in subsequent processing, otherwise, the received signal is not output to participate in subsequent processing.
The method provided by the embodiment of the invention is applied to a long term evolution frequency division multiplexing LTE FDD system or a long term evolution time division multiplexing LTE TDD system. If the OFDM frequency division multiplexing technology is adopted, it is necessary to process the frequency domain received signals from the user on each antenna channel screened out for each subcarrier, and perform channel estimation and frequency domain equalization.
The specific way of processing the frequency domain received signals from the user on each antenna channel that is screened out is preferably the way provided in the following embodiments.
Example 1
In this embodiment, as shown in fig. 4, the method for receiving data by using distributed antennas specifically includes:
1) OFDM symbol demodulation
For the same user, the OFDM symbol demodulation is performed on the time domain received signal on each antenna channel to obtain the frequency domain received signal from the same user on each antenna channel, that is, frequency domain data.
2) Antenna channel selection
Determining the module value or power value of the frequency domain received signal from the same user on each antenna channel;
and screening out the antenna channels with the modulus value of the frequency domain received signal higher than the set modulus value or screening out the antenna channels with the power value of the frequency domain received signal higher than the set power value.
3) Performing channel estimation
Obtaining a channel response matrix corresponding to each antenna channel screened out through channel estimation to obtain a channel response matrix H1~HNAnd N is the total number of screened antenna channels.
And obtaining a frequency domain equalization matrix of each antenna channel by using the channel response matrix of each antenna channel.
Specifically, a channel response matrix of each antenna channel may be used, and a zero forcing ZF algorithm or a minimum mean square error MMSE algorithm is adopted to obtain a frequency domain equalization matrix of the antenna channel.
4) Frequency domain equalization
Performing frequency domain equalization on the user frequency domain received signal obtained by demodulating the OFDM symbol of the time domain received signal of each antenna channel by using the frequency domain equalization matrix of each antenna channel to obtain a frequency domain soft symbol of the antenna channel, and assuming that the user frequency domain received signal on the screened antenna channel is r1~rNObtaining a frequency domain soft symbol s after frequency domain equalization1~sN
5) Merging
And combining the frequency domain soft symbols of all the screened antenna channels to obtain a frequency domain soft symbol s obtained after combination. Specifically, the merging here refers to linear merging.
6) IDFT time-frequency transform
And performing IDFT time-frequency transformation on the frequency domain soft symbol s obtained after combination to obtain a time domain soft symbol, specifically, transforming the frequency domain soft symbol s from the frequency domain to the time domain through IDFT.
7) Demodulation
And demodulating the time domain soft symbol to obtain a time domain soft bit, wherein a specific demodulation mechanism is related to a coding modulation mode adopted when a user sends data.
8) Decoding
And decoding the time domain soft bit to obtain the information source bit of the user.
Example 2
In this embodiment, as shown in fig. 5, the method for receiving data by using distributed antennas specifically includes:
1) OFDM symbol demodulation
For the same user, the OFDM symbol demodulation is performed on the time domain received signal on each antenna channel to obtain the frequency domain received signal from the same user on each antenna channel, that is, frequency domain data.
2) Antenna channel selection
Determining the module value or power value of the frequency domain received signal from the same user on each antenna channel;
and screening out the antenna channels with the modulus value of the frequency domain received signal higher than the set modulus value or screening out the antenna channels with the power value of the frequency domain received signal higher than the set power value.
3) Performing channel estimation
Obtaining a channel response matrix corresponding to each antenna channel screened out through channel estimation to obtain a channel response matrix H1~HNAnd N is the total number of screened antenna channels.
And obtaining a frequency domain equalization matrix of each antenna channel by using the channel response matrix of each antenna channel.
Specifically, a channel response matrix of each antenna channel may be used, and a zero forcing ZF algorithm or a minimum mean square error MMSE algorithm is adopted to obtain a frequency domain equalization matrix of the antenna channel.
4) Frequency domain equalization
Carrying out frequency domain equalization on the frequency domain receiving signals of the users obtained by demodulating the OFDM symbols of the time domain receiving signals on each antenna channel by using the frequency domain equalization matrix of each antenna channelAnd (4) balancing to obtain a frequency domain soft symbol of the antenna channel, and assuming that a user frequency domain receiving signal on the screened antenna channel is r1~rNObtaining a frequency domain soft symbol s after frequency domain equalization1~sN
5) IDFT time-frequency transform
Performing IDFT time-frequency transformation on the frequency domain soft symbol of each antenna channel to obtain the time domain soft symbol of the antenna channel, specifically, performing IDFT on the frequency domain soft symbol s1~sNFrom the frequency domain to the time domain.
6) Merging
And combining the time domain soft symbols of all screened antenna channels. Specifically, the merging here refers to linear merging.
7) Demodulation
And demodulating the time domain soft symbol obtained after combination to obtain a time domain soft bit, wherein a specific demodulation mechanism is related to a coding modulation mode adopted when a user sends data.
8) Decoding
And decoding the time domain soft bit to obtain the information source bit of the user.
Example 3
In this embodiment, as shown in fig. 6, the method for receiving data by using distributed antennas specifically includes:
1) OFDM symbol demodulation
For the same user, the OFDM symbol demodulation is performed on the time domain received signal on each antenna channel to obtain the frequency domain received signal from the same user on each antenna channel, that is, frequency domain data.
2) Antenna channel selection
Determining the module value or power value of the frequency domain received signal from the same user on each antenna channel;
and screening out the antenna channels with the modulus value of the frequency domain received signal higher than the set modulus value or screening out the antenna channels with the power value of the frequency domain received signal higher than the set power value.
3) Performing channel estimation
Obtaining a channel response matrix corresponding to each antenna channel screened out through channel estimation to obtain a channel response matrix H1~HNAnd N is the total number of screened antenna channels.
And obtaining a frequency domain equalization matrix of each antenna channel by using the channel response matrix of each antenna channel.
Specifically, a channel response matrix of each antenna channel may be used, and a zero forcing ZF algorithm or a minimum mean square error MMSE algorithm is adopted to obtain a frequency domain equalization matrix of the antenna channel.
4) Frequency domain equalization
Performing frequency domain equalization on the user frequency domain received signal obtained by demodulating the OFDM symbol of the time domain received signal on each antenna channel by using the frequency domain equalization matrix of each antenna channel to obtain a frequency domain soft symbol of the antenna channel, and assuming that the user frequency domain received signal on the screened antenna channel is r1~rNObtaining a frequency domain soft symbol s after frequency domain equalization1~sN
5) IDFT time-frequency transform
Performing IDFT time-frequency transformation on the frequency domain soft symbol of each antenna channel to obtain the time domain soft symbol of the antenna channel, specifically, performing IDFT on the frequency domain soft symbol s1~sNFrom the frequency domain to the time domain.
6) Demodulation
And demodulating the time domain soft symbol of each antenna channel to obtain the time domain soft bit of the antenna channel, wherein a specific demodulation mechanism is related to a coding modulation mode adopted when a user sends data.
7) Merging
And combining the time domain soft bits of all the screened antenna channels to obtain time domain soft bits, specifically, the combination refers to linear combination.
8) Decoding
And decoding the time domain soft bit to obtain the information source bit of the user.
Example 4
In this embodiment, as shown in fig. 7, the method for receiving data by using distributed antennas specifically includes:
1) OFDM symbol demodulation
For the same user, the OFDM symbol demodulation is performed on the time domain received signal on each antenna channel to obtain the frequency domain received signal from the same user on each antenna channel, that is, frequency domain data.
2) Antenna channel selection
Determining the module value or power value of the frequency domain received signal from the same user on each antenna channel;
and screening out the antenna channels with the modulus value of the frequency domain received signal higher than the set modulus value or screening out the antenna channels with the power value of the frequency domain received signal higher than the set power value.
3) Performing channel estimation
Obtaining a channel response matrix corresponding to each antenna channel screened out through channel estimation to obtain a channel response matrix H1~HNAnd N is the total number of screened antenna channels.
And obtaining a frequency domain equalization matrix of each antenna channel by using the channel response matrix of each antenna channel.
Specifically, a channel response matrix of each antenna channel may be used, and a zero forcing ZF algorithm or a minimum mean square error MMSE algorithm is adopted to obtain a frequency domain equalization matrix of the antenna channel.
4) Joint frequency domain equalization
Obtaining a combined frequency domain equalization matrix by using the channel response matrixes of all screened antenna channels, namely a channel response matrix H1~HNArranged in rows, each row of a joint channel response matrix.
Specifically, a zero forcing ZF algorithm or a minimum mean square error MMSE algorithm is adopted to obtain a combined frequency domain equalization matrix by using channel response matrices of all screened antenna channels, i.e., a combined channel response matrix.
And performing joint frequency domain equalization on the user frequency domain received signals obtained by demodulating the OFDM symbols on the time domain received signals on all the screened antenna channels by using the joint frequency domain equalization matrix to obtain frequency domain soft symbols.
Assuming that the user frequency domain receiving signal on the screened antenna channel is r1~rNAnd obtaining a frequency domain soft symbol s after frequency domain equalization.
5) IDFT time-frequency transform
And performing IDFT time-frequency transformation on the obtained frequency domain soft symbol s to obtain a time domain soft symbol, specifically, transforming the frequency domain soft symbol s from the frequency domain to the time domain through IDFT.
6) Demodulation
And demodulating the obtained time domain soft symbol to obtain a time domain soft bit, wherein a specific demodulation mechanism is related to a coding modulation mode adopted when a user sends data.
7) Decoding
And decoding the time domain soft bit to obtain the information source bit of the user.
Example 5
In this embodiment, a specific process of a method for receiving data by a distributed antenna in a scenario where a plurality of RRUs are connected to a BBU and a plurality of subcarriers are used is provided in embodiment 1.
Without loss of generality, the present embodiment assumes that the number of uplink transmit antennas of the UE is 1, that is, M is 1, each RRU has only one receive antenna, and corresponds to one receive channel, and one BBU is connected with 4 RRUs in total, that is, N is 4.
Initializing a variable Pmax=0,PmaxRepresenting the maximum received power of all antenna channels.
Step 1, numbering all antenna channels from 0, recording the total number of the antenna channels as N, and initializing an antenna channel index N to be 0;
step 2, on the channel with the number of n, the operations of step 2.1 to step 2.4 are respectively carried out
Step 2.1, firstly, removing CP and OFDM demodulation of the received time domain signal, removing 7.5KHz frequency offset and other operations, and obtaining a frequency domain received signal;
step 2.2, calculating the total power P of the frequency domain received signal on the nth channeln
Figure BDA0000140339150000121
rn(k)=Hn(k)sk+Wn(k)=Hn1(k)s1(k)+Wn(k)
Wherein r isn(k) Is the frequency domain receiving signal on the nth antenna channel, k represents the subcarrier index, k is more than or equal to 1 and less than or equal to Nsc,NscIndicating the number of sub-carriers occupied by the user data;
the frequency domain signal transmitted on the kth subcarrier of the transmitting antenna of the user terminal UE is sk=[s1(k)s2(k)…sM(k)]T=s1(k);
The total frequency domain signal received by the eNB on the k sub-carrier and the n antenna channel is rn(k)(1<=n<=N);
On the k sub-carrier, n channelThe additive noise signal received by the eNB is Wn(k)(1<=n<=N);
For each subcarrier k, the channel response H on the nth receiving antennan(k) (1 x M of the row vector, M1, so scalar) is: hn(k)=[Hn1(k),Hn2(k),…,HnM(k)]=Hn1(k)。
Step 2.3, record PnAnd by judging PnAnd PmaxSize of (2), update variable Pmax
P max = P n , if P n > P max P max , if P n ≤ P max
Step 2.4, when N ═ N-1, the final P is obtainedmaxEntering step 3; otherwise, let n be n +1 and go to step 2.1.
Step 3, starting from the first channel, sequentially adding P of the nth antenna channelnAnd threshold value eta% × PmaxAnd (3) comparison:
when P is presentn-η%×PmaxWhen the number of the antenna channels is more than or equal to 0, the antenna channels are judged to be effective antenna channels, and the total number of the effective antenna channels obtained by counting is Nuseful
Otherwise, when Pn-η%×PmaxIf the number is less than 0, the antenna channel is judged to be an invalid antenna channel, and the received signal on the antenna channel is discarded without entering the subsequent processing.
Wherein, eta% is a prestored effective channel judgment threshold and is a numerical value between 0 and 1.
Step 4, using the pilot signal to perform channel estimation of each antenna channel, and obtaining the user frequency domain data signal r on the k sub-carrier by interpolationn(k) Corresponding frequency domain channel response value Hn(k);
Step 5, channel equalization is carried out to obtain a frequency domain soft symbol s after channel equalization on the kth subcarriern(k);
Assuming that the channel equalizer uses the ZF detection algorithm, the frequency domain equalization matrix corresponding to the nth antenna channel on the kth subcarrier is:
w n ( k ) = ( H n H ( k ) H n ( k ) ) - 1 H n ( k ) H = ( H n 1 ( k ) H H n 1 ( k ) ) - 1 H n 1 ( k ) H
the frequency domain equalizer output signal is:
s ^ n ( k ) = w n ( k ) r n = ( H n H ( k ) H n ( k ) ) - 1 H n ( k ) H r n ( k ) = ( H n 1 ( k ) H H n 1 ( k ) ) - 1 H n 1 ( k ) H r n ( k )
wherein N is more than or equal to 0 and less than or equal to Nuseful-1
Step 6, the frequency domain soft symbols output by all the antenna channel frequency domain equalizers are subjected to linear accumulation to obtain soft symbols s (k) on the k-th subcarrier of the combined output:
s ( k ) = Σ n = 0 N useful - 1 s ^ n ( k )
step 7, performing IDFT and soft demodulation on the soft symbol s (k) on the k-th subcarrier which is output in a combined mode to obtain a demodulated time domain soft bit Softbit _ stream on the k-th subcarrier;
and 8, carrying out channel decoding on the time domain soft bit Softbit _ stream on the kth subcarrier to obtain a received information source bit.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
1) compared with the joint detection algorithm in the prior art, the method can effectively reduce the processing complexity;
2) when the UE is close to a certain RRU and other RRUs are particularly far, the received signal-to-interference-and-noise ratios on certain RRU channels are low, the reliability of the received signals on the selected effective channels is ensured to be high through judgment of the selection judgment algorithm, and the reliability of detection is improved compared with the prior art.
Based on the same inventive concept, the embodiment of the present invention further provides a device for receiving data by using distributed antennas, and because the principle of the device for solving the problem is similar to a method for receiving data by using distributed antennas, the implementation of these devices may refer to the implementation of the method, and repeated parts are not described again.
The present embodiment provides an apparatus for receiving data using distributed antennas, as shown in fig. 8, including:
a signal quality determination unit 801 configured to determine, for the same user, received signal quality on each antenna channel;
a channel screening unit 802, configured to screen out an antenna channel whose received signal quality meets a set requirement;
a signal processing unit 803, configured to process the frequency domain received signal from the user on each antenna channel screened out, so as to obtain a source bit from the user.
Preferably, the signal quality determining unit 801 determines, for the same user, the received signal quality on each antenna channel, which specifically includes:
OFDM symbol demodulation is carried out on the time domain receiving signals on each antenna channel to obtain frequency domain receiving signals from the same user on each antenna channel;
determining the module value or power value of the frequency domain received signal from the same user on each antenna channel;
the channel screening unit 802 screens out an antenna channel whose received signal quality meets a set requirement, and includes:
screening out antenna channels with the modulus values of the frequency domain received signals higher than the set modulus values; or
And screening out the antenna channels with the power value of the frequency domain received signals higher than the set power value.
Preferably, the set modulus/set power value used by the channel screening unit 802 is determined as follows:
determining the maximum module value/maximum power value of the frequency domain received signal from the same user on each antenna channel;
and multiplying the maximum module value/maximum power value by a setting coefficient to obtain a set module value/set power value, wherein the setting factor is a positive number smaller than 1.
Preferably, the signal processing unit 803 processes the frequency domain received signals from the user on each antenna channel that is screened out, and specifically includes:
performing channel estimation to obtain channel response matrixes corresponding to the screened antenna channels;
obtaining a frequency domain equalization matrix of each antenna channel by using the channel response matrix of each antenna channel;
carrying out frequency domain equalization on the user frequency domain received signal obtained by demodulating the OFDM symbol on the time domain received signal of each antenna channel by using the frequency domain equalization matrix of each antenna channel to obtain a frequency domain soft symbol of the antenna channel;
merging the frequency domain soft symbols of all screened antenna channels;
performing IDFT time-frequency transformation on the frequency domain soft symbols obtained after combination to obtain time domain soft symbols;
demodulating the time domain soft symbol to obtain a time domain soft bit;
and decoding the time domain soft bits to obtain the information source bits of the user.
Preferably, the signal processing unit 803 processes the frequency domain received signals on each antenna channel that is screened out, and specifically includes:
performing channel estimation to obtain channel response matrixes corresponding to the screened antenna channels;
obtaining a frequency domain equalization matrix of each antenna channel by using the channel response matrix of each antenna channel;
carrying out frequency domain equalization on the frequency domain receiving signals of the users on the antenna channel by using the frequency domain equalization matrix of each antenna channel to obtain frequency domain soft symbols of the antenna channel;
carrying out IDFT time-frequency transformation on the frequency domain soft symbol of each antenna channel to obtain a time domain soft symbol of the antenna channel;
merging the time domain soft symbols of all screened antenna channels;
demodulating the time domain soft symbol obtained after combination to obtain a time domain soft bit;
and decoding the time domain soft bits to obtain the information source bits of the user.
Preferably, the signal processing unit 803 processes the frequency domain received signals from the user on each antenna channel that is screened out, and specifically includes:
performing channel estimation to obtain channel response matrixes corresponding to the screened antenna channels;
obtaining a frequency domain equalization matrix of each antenna channel by using the channel response matrix of each antenna channel;
performing frequency domain equalization on the user frequency domain received signal obtained by demodulating the OFDM symbol on the time domain received signal on each antenna channel by using the frequency domain equalization matrix of each antenna channel to obtain a frequency domain soft symbol of the antenna channel;
carrying out IDFT time-frequency transformation on the frequency domain soft symbol of each antenna channel to obtain a time domain soft symbol of the antenna channel;
demodulating the time domain soft symbol of each antenna channel to obtain the time domain soft bit of the antenna channel;
merging the time domain soft bits of all screened antenna channels to obtain time domain soft bits;
and decoding the time domain soft bits to obtain the information source bits of the user.
Preferably, the signal processing unit 803 processes the frequency domain received signals from the user on each antenna channel that is screened out, and specifically includes:
processing the frequency domain received signals from the user on each screened antenna channel, specifically comprising:
performing channel estimation to obtain channel response matrixes corresponding to the screened antenna channels;
obtaining a combined frequency domain equalization matrix by using the channel response matrixes of all screened antenna channels;
performing joint frequency domain equalization on the frequency domain receiving signals of the users on all the screened antenna channels by using a joint frequency domain equalization matrix to obtain frequency domain soft symbols;
performing IDFT time-frequency transformation on the frequency domain soft symbol to obtain a time domain soft symbol;
demodulating the time domain soft symbol to obtain a time domain soft bit;
and decoding the time domain soft bits to obtain the information source bits of the user.
Preferably, the device for receiving data by using distributed antennas is applied to a long term evolution frequency division multiplexing (LTEFDD) system or a long term evolution time division multiplexing (LTE TDD) system.
Preferably, the device for receiving data by using the distributed antennas is specifically a BBU of the eNB, and each distributed antenna is each antenna of a plurality of RRUs connected to the BBU.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (18)

1. A method for receiving data using distributed antennas, comprising:
for the same user, determining the quality of the received signal on each antenna channel;
screening out antenna channels with the received signal quality meeting set requirements;
and processing the frequency domain receiving signals from the user on each screened antenna channel to obtain the information source bit from the user.
2. The method of claim 1, wherein determining received signal quality on each antenna channel for the same user comprises:
OFDM symbol demodulation is carried out on the time domain receiving signals on each antenna channel to obtain frequency domain receiving signals from the same user on each antenna channel;
determining the module value or power value of the frequency domain received signal from the same user on each antenna channel;
screening out the antenna channel that received signal quality satisfies the settlement requirement specifically includes:
screening out antenna channels with the modulus values of the frequency domain received signals higher than the set modulus values; or
And screening out the antenna channels with the power value of the frequency domain received signals higher than the set power value.
3. The method of claim 2, wherein the set modulus value/set power value is determined by:
determining the maximum module value/maximum power value of the frequency domain received signal from the same user on each antenna channel;
and multiplying the maximum module value/maximum power value by a setting coefficient to obtain a set module value/set power value, wherein the setting factor is a positive number smaller than 1.
4. The method of claim 1, wherein processing the frequency domain received signals from the user on each antenna channel selected comprises:
performing channel estimation to obtain channel response matrixes corresponding to the screened antenna channels;
obtaining a frequency domain equalization matrix of each antenna channel by using the channel response matrix of each antenna channel;
carrying out frequency domain equalization on the frequency domain receiving signals of the users on the antenna channel by using the frequency domain equalization matrix of each antenna channel to obtain frequency domain soft symbols of the antenna channel;
merging the frequency domain soft symbols of all screened antenna channels;
performing IDFT time-frequency transformation on the frequency domain soft symbols obtained after combination to obtain time domain soft symbols;
demodulating the time domain soft symbol to obtain a time domain soft bit;
and decoding the time domain soft bit to obtain the information source bit of the user.
5. The method of claim 1, wherein processing the frequency domain received signals from the user on each antenna channel selected comprises:
performing channel estimation to obtain channel response matrixes corresponding to the screened antenna channels;
obtaining a frequency domain equalization matrix of each antenna channel by using the channel response matrix of each antenna channel;
carrying out frequency domain equalization on the frequency domain receiving signals of the users on the antenna channel by using the frequency domain equalization matrix of each antenna channel to obtain frequency domain soft symbols of the antenna channel;
performing IDFT time-frequency transformation on the frequency domain soft symbol of each antenna channel to obtain a time domain soft symbol of the antenna channel;
merging the time domain soft symbols of all screened antenna channels;
demodulating the time domain soft symbol obtained after combination to obtain a time domain soft bit;
and decoding the time domain soft bit to obtain the information source bit of the user.
6. The method of claim 1, wherein processing the frequency domain received signals from the user on each antenna channel selected comprises:
performing channel estimation to obtain channel response matrixes corresponding to the screened antenna channels;
obtaining a frequency domain equalization matrix of each antenna channel by using the channel response matrix of each antenna channel;
carrying out frequency domain equalization on the frequency domain receiving signals of the users on the antenna channel by using the frequency domain equalization matrix of each antenna channel to obtain frequency domain soft symbols of the antenna channel;
performing IDFT time-frequency transformation on the frequency domain soft symbol of each antenna channel to obtain a time domain soft symbol of the antenna channel;
demodulating the time domain soft symbol of each antenna channel to obtain the time domain soft bit of the antenna channel;
merging the time domain soft bits of all screened antenna channels to obtain merged time domain soft bits;
and decoding the combined time domain soft bit to obtain the information source bit of the user.
7. The method according to any one of claims 4 to 6, wherein obtaining the frequency domain equalization matrix of each antenna channel by using the channel response matrix of the antenna channel specifically comprises:
and obtaining a frequency domain equalization matrix of each antenna channel by using a channel response matrix of each antenna channel and adopting a zero forcing ZF algorithm or a Minimum Mean Square Error (MMSE) algorithm.
8. The method of claim 1, wherein processing the frequency domain received signals from the user on each antenna channel selected comprises:
performing channel estimation to obtain channel response matrixes corresponding to the screened antenna channels;
obtaining a combined frequency domain equalization matrix by using the channel response matrixes of all screened antenna channels;
performing joint frequency domain equalization on the frequency domain receiving signals of the users on all the screened antenna channels by using a joint frequency domain equalization matrix to obtain frequency domain soft symbols;
performing IDFT time-frequency transformation on the frequency domain soft symbol to obtain a time domain soft symbol;
demodulating the time domain soft symbol to obtain a time domain soft bit;
and decoding the time domain soft bit to obtain the information source bit of the user.
9. The method of claim 8, wherein obtaining a joint frequency domain equalization matrix using the channel response matrices of all screened antenna channels comprises:
and obtaining a combined frequency domain equalization matrix by utilizing the channel response matrixes of all the screened antenna channels and adopting a zero forcing ZF algorithm or a minimum mean square error MMSE algorithm.
10. The method of any of claims 1 to 9, wherein the method is applied to a long term evolution frequency division multiplexing, LTE, FDD system or a long term evolution time division multiplexing, LTE, TDD system.
11. An apparatus for receiving data using distributed antennas, comprising:
a signal quality determining unit, configured to determine, for the same user, received signal quality on each antenna channel;
the channel screening unit is used for screening out antenna channels with the received signal quality meeting the set requirement;
and the signal processing unit is used for processing the frequency domain receiving signals from the users on the screened antenna channels to obtain the information source bits from the users.
12. The apparatus as claimed in claim 11, wherein said signal quality determining unit determines the received signal quality on each antenna channel for the same user, specifically comprising:
OFDM symbol demodulation is carried out on the time domain receiving signals on each antenna channel to obtain frequency domain receiving signals from the same user on each antenna channel;
determining the module value or power value of the frequency domain received signal from the same user on each antenna channel;
the antenna channel that received signal quality satisfies the settlement requirement is selected out to the passageway screening element specifically includes:
screening out antenna channels with the modulus values of the frequency domain received signals higher than the set modulus values; or
And screening out the antenna channels with the power value of the frequency domain received signals higher than the set power value.
13. The apparatus of claim 12, wherein the set mode/set power value used by the channel screening unit is determined as follows:
determining the maximum module value/maximum power value of the frequency domain received signal from the same user on each antenna channel;
and multiplying the maximum module value/maximum power value by a setting coefficient to obtain a set module value/set power value, wherein the setting factor is a positive number smaller than 1.
14. The apparatus of claim 11, wherein the signal processing unit processes the frequency domain received signals from the user on each antenna channel selected by the selecting unit, and specifically comprises:
performing channel estimation to obtain channel response matrixes corresponding to the screened antenna channels;
obtaining a frequency domain equalization matrix of each antenna channel by using the channel response matrix of each antenna channel;
carrying out frequency domain equalization on the frequency domain receiving signals of the users on the antenna channel by using the frequency domain equalization matrix of each antenna channel to obtain frequency domain soft symbols of the antenna channel;
merging the frequency domain soft symbols of all screened antenna channels;
performing IDFT time-frequency transformation on the frequency domain soft symbols obtained after combination to obtain time domain soft symbols;
demodulating the time domain soft symbol to obtain a time domain soft bit;
and decoding the time domain soft bit to obtain the information source bit of the user.
15. The apparatus of claim 11, wherein the signal processing unit processes the frequency domain received signals from the user on each antenna channel selected by the selecting unit, and specifically comprises:
performing channel estimation to obtain channel response matrixes corresponding to the screened antenna channels;
obtaining a frequency domain equalization matrix of each antenna channel by using the channel response matrix of each antenna channel;
carrying out frequency domain equalization on the frequency domain receiving signals of the users on the antenna channel by using the frequency domain equalization matrix of each antenna channel to obtain frequency domain soft symbols of the antenna channel;
performing IDFT time-frequency transformation on the frequency domain soft symbol of each antenna channel to obtain a time domain soft symbol of the antenna channel;
merging the time domain soft symbols of all screened antenna channels;
demodulating the time domain soft symbol obtained after combination to obtain a time domain soft bit;
and decoding the time domain soft bit to obtain the information source bit of the user.
16. The apparatus of claim 11, wherein the signal processing unit processes the frequency domain received signals from the user on each antenna channel selected by the selecting unit, and specifically comprises:
performing channel estimation to obtain channel response matrixes corresponding to the screened antenna channels;
obtaining a frequency domain equalization matrix of each antenna channel by using the channel response matrix of each antenna channel;
carrying out frequency domain equalization on the frequency domain receiving signals of the users on the antenna channel by using the frequency domain equalization matrix of each antenna channel to obtain frequency domain soft symbols of the antenna channel;
performing IDFT time-frequency transformation on the frequency domain soft symbol of each antenna channel to obtain a time domain soft symbol of the antenna channel;
demodulating the time domain soft symbol of each antenna channel to obtain the time domain soft bit of the antenna channel;
merging the time domain soft bits of all screened antenna channels to obtain time domain soft bits;
and decoding the time domain soft bit to obtain the information source bit of the user.
17. The apparatus of claim 11, wherein the signal processing unit processes the frequency domain received signals from the user on each antenna channel selected by the selecting unit, and specifically comprises:
performing channel estimation to obtain channel response matrixes corresponding to the screened antenna channels;
obtaining a combined frequency domain equalization matrix by using the channel response matrixes of all screened antenna channels;
performing joint frequency domain equalization on the frequency domain receiving signals of the users on all the screened antenna channels by using a joint frequency domain equalization matrix to obtain frequency domain soft symbols;
performing IDFT time-frequency transformation on the frequency domain soft symbol to obtain a time domain soft symbol;
demodulating the time domain soft symbol to obtain a time domain soft bit;
and decoding the time domain soft bit to obtain the information source bit of the user.
18. The apparatus of any one of claims 11 to 17, wherein the apparatus for receiving data using distributed antennas is applied to a long term evolution frequency division multiplexing, LTE, FDD system or a long term evolution time division multiplexing, LTE, TDD system.
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