WO2006082924A1 - Dispositif de communication a plusieurs antennes - Google Patents
Dispositif de communication a plusieurs antennes Download PDFInfo
- Publication number
- WO2006082924A1 WO2006082924A1 PCT/JP2006/301865 JP2006301865W WO2006082924A1 WO 2006082924 A1 WO2006082924 A1 WO 2006082924A1 JP 2006301865 W JP2006301865 W JP 2006301865W WO 2006082924 A1 WO2006082924 A1 WO 2006082924A1
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- WO
- WIPO (PCT)
- Prior art keywords
- antenna
- parameter
- antenna selection
- transmission
- adaptive modulation
- Prior art date
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
- H04B7/0602—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using antenna switching
- H04B7/0608—Antenna selection according to transmission parameters
- H04B7/061—Antenna selection according to transmission parameters using feedback from receiving side
Definitions
- the present invention relates to a multi-antenna communication apparatus, a multi-antenna system, a multi-antenna communication method, and an antenna selection 'bit distribution method used in a Multiple-Input Multiple-Output (MIMO) system.
- MIMO Multiple-Input Multiple-Output
- MIMO technology significantly increases channel capacity compared to conventional single antenna transmission methods. Also, as space resources are almost endlessly available compared to time domain and frequency domain resources, MIMO technology can overcome the bottlenecks of the prior art, making it the core technology of the next generation wireless communication system. It becomes.
- FIG. 1 is a diagram showing the configuration of a conventional MIMO system.
- This MIMO system is SZ A P (serial Z parallel) conversion unit 101, a plurality of code and modulation units 102, a plurality of transmission antennas 103, a plurality of reception antennas 104, a MIMO detection unit 105, and a channel estimation unit 106 are provided.
- An SZP converter 101, a plurality of code and modulation units 102, and a plurality of transmitting antennas 103 are included on the transmitting side, and a plurality of receiving antennas 104, a MIMO detector 105, and a channel estimation unit 106 are included on the receiving side.
- the transmitting side and the receiving side each have n transmitting antennas 10.
- n receive antennas 104 (where n and n are natural numbers) to transmit and receive signals.
- the data waiting for transmission is first processed by the SZP conversion unit 101 to n pieces of data.
- Each of the divided data substreams corresponds to one antenna 103.
- the data substreams awaiting transmission are first input to the corresponding encoding and modulation unit 102.
- the coding / modulation section 102 performs coding and modulation on the input data sub-stream.
- the encoded and modulated data are sent to the corresponding transmit antenna 103 and transmitted from the corresponding transmit antenna 103.
- channel estimation section 106 performs channel estimation based on the pilot signal of the received signal or using another scheme to estimate the current channel characteristic matrix H (for the MIMO system, the channel Properties can be represented by a matrix).
- the matrix H obtained by the MIMO detection unit 105 detection is performed on the signal received by each receiving antenna 104, and the original transmission data is obtained.
- Various methods can be used in MIMO detection. For example, habitual ZF (zero forcing), MMSE (least root mean square error), serial interference cancellation or other methods are often used.
- MIMO detection section 105 includes an operation of separating the signal transmitted by each transmission antenna on the transmission side, and an operation of performing demodulation and decoding on each signal. Note that in actual MIMO detection, these two operations are not performed independently in most cases. That is, the output from the former is obtained by the latter, and the output of the latter is often required for the progress of the former. For this reason, it is generally Described in the output section 105.
- a MIMO configuration as shown in FIG. 1 is generally called a V-BLAST (Vertical Bell Laboratories Layered Space-Time) system.
- V-BLAST Very Bell Laboratories Layered Space-Time
- D-BLAST Diagonal Bell Laboratories Layered Space-Time
- an SZP conversion unit an SZP conversion unit
- an IFFT Inverse Fast Fourier Transform
- PZS conversion unit a PZS conversion unit
- CP Cyclic Prefix
- the overall throughput is increased by an increase in the number of transmit antennas. As described above, if there is an antenna with a very poor channel characteristic, the overall throughput will be increased. In some cases, only power consumption can not be increased.
- the object of the present invention is to construct a system in which channel characteristics are sufficiently taken into consideration, thereby enabling efficient multi-antenna transmission using transmission antennas efficiently, and complicating the entire system configuration. What is needed is to provide a multi-antenna communication device, a multi-antenna transmission system, and a multi-antenna communication method.
- the multi-antenna communication apparatus of the present invention is configured to transmit a current channel based on a received signal.
- the antenna selection parameter and the adaptive modulation 'code parameter are obtained, these parameters are fed back to the transmitting side, and the transmitting side is obtained.
- Antenna selection 'bit distribution control means for controlling transmission antenna selection and bit distribution of the channel, current channel characteristic matrix obtained by the channel estimation means, the fed back antenna selection parameter and adaptive modulation' coding parameter
- a MIMO detection unit for detecting each transmission data substream and obtaining the original transmission data.
- the antenna selection parameter and the adaptive modulation 'coding parameter are obtained by the antenna selection' bit distribution control means based on the channel characteristic matrix, and these parameters are fed back to the transmission side.
- the antenna selection' bit distribution control means based on the channel characteristic matrix, and these parameters are fed back to the transmission side.
- the transmitting antenna is selected based on the channel characteristic matrix on the receiving side, and bit distribution to each selected transmitting antenna is determined by the modulation multi-level number and / or coding rate of adaptive modulation. Therefore, the transmission antenna can be efficiently used to perform high-efficiency data transmission, and bit distribution can be performed with a simple configuration when performing high-efficiency multi-antenna transmission. .
- FIG. 1 is a diagram showing the configuration of a prior art MIMO radio system.
- FIG. 2 A diagram showing the configuration of a multi-antenna communication system according to an embodiment of the present invention
- FIG. 3 A flow diagram of the entire system executing the multi-antenna communication method according to an embodiment of the present invention
- FIG. 4 Antenna selection in multi-antenna communication system according to an embodiment of the present invention 'flow chart for explaining a bit distribution method
- FIG. 5 A figure showing a comparison of performance in the method used in the present invention and the conventional method when the number of transmitting Z receiving antennas is four in all.
- FIG. 6 A diagram showing a comparison of performance between the method used in the present invention and the conventional method when the number of transmitting Z receiving antennas is both 2.
- FIG. 2 is a diagram showing the configuration of a multi-antenna communication system for controlling antenna selection and bit distribution according to an embodiment of the present invention.
- the multi-antenna communication system comprises a first multi-antenna communication device having a transmitting system and a receiving system, and a second multi-antenna communication device having a transmitting system and a receiving system.
- the present embodiment is mainly characterized in the transmission system of the first multi-antenna communication apparatus and the reception system of the second multi-antenna communication apparatus, and therefore, only that portion is shown in FIG.
- the first multi-antenna communication apparatus is referred to as the transmitting side
- the second multi-antenna communication apparatus is referred to as the receiving side.
- the transmitting side includes a plurality of transmitting antennas 204, a plurality of encoding / demodulation units 203 provided corresponding to each antenna 204, an SZP conversion unit 201 for serial-to-parallel conversion of transmission data, and an SZP conversion unit. It has a plurality of transmission antenna selection units 202 which are provided between the conversion unit 201 and the plurality of coding / modulation units 203 and which are a plurality of switchers.
- the reception side includes a plurality of reception antennas 205, a MIMO detection unit 209, a channel estimation unit 206, and an antenna selection 'bit distribution control unit 207.
- the channel estimation unit 206 and the antenna selection 'bit distribution unit 207 are connected to the MIMO detection unit 209.
- the transmit side and receive side of the MIMO system are each n
- n transmit antennas 204 and n receive antennas 205 (where n and n are natural numbers)
- the data waiting for transmission is first processed by the SZP conversion unit 201 to n pieces of data.
- Each of n divided data substreams is one
- the transmission antenna selection unit 202 selects transmission antennas that actually transmit from all the transmission antennas 204. Then, the adaptive modulation ′ coding unit 203 performs adaptive modulation ′ code on the data substream selected by the transmission antenna selection unit 202. The adaptive modulation 'coded data substream is transmitted by the corresponding transmission antenna.
- the adaptive modulation 'coding unit 203 selects In performing adaptive modulation and coding on the data substreams, the required parameter M (the parameter M indicates the number of data bits currently transmitted from each transmitting antenna, and in this embodiment, Adaptive modulation on the transmitting side at the same time ⁇
- the coding unit 203 uses the same parameter M) is obtained by channel estimation on the receiving side. That is, the receiver feeds back the acquired parameters to the transmitter via the feedback channel 208.
- n receiving antennas 205 receive all the signals in space.
- channel estimation section 206 performs channel estimation using, for example, a method using pilot signals in the received signal or other methods to obtain current channel characteristic matrix H.
- Antenna selection 'bit distribution control section 207 obtains antenna selection parameter C and adaptive modulation' coding parameter M according to the method of the present invention (described in detail later) based on matrix H and feeds it back. By feeding back to the transmission side via the channel 208, antenna selection 'bit distribution control on the transmission side is performed.
- MIMO detection section 209 applies a general MIMO detection method to a data substream. MIMO detection is performed to obtain the original transmission data. Specifically, MIMO detection section 209 separates a plurality of transmission data sub-streams mixed on the propagation path using channel characteristic matrix H, and separates a plurality of separated transmission data sub-streams. The original transmission data is obtained by performing demodulation processing and decoding processing according to the parameters C and M on the memory.
- Antenna selection 'bit distribution control section 207 selects adaptive modulation' coding parameters so that the total data throughput from all transmitting antennas is equal before and after changing the number of antennas. . This can prevent the throughput performance of the system from being impaired due to antenna selection (for example, when the number of transmitting antennas is reduced). For example, if, at a given time, antenna selection results in transmitting data by half of the transmission antennas, transmission bits distributed to the selected transmission antennas so as not to cause a loss in the transmission rate of the system. Designate the modulation multi-value number and coding rate by which the number is doubled by the adaptive modulation 'coding norm.
- each adaptive modulation and coding unit 203 on the transmission side at the same time use the same modulation and coding parameters. That is, the number of transmission bits distributed to the selected transmission antenna 204 is the same. As a result, only one adaptive modulation and coding parameter needs to be fed back to the plurality of adaptive modulation and coding units 203, so that the complexity for realizing the system can be achieved while effectively suppressing the parameter feedback overhead. It can be lowered.
- FIG. 3 is a flowchart of the entire system that executes the multi-antenna communication method of the present embodiment.
- step S301 channel estimation is performed by the channel estimation unit 206 on the receiving side based on the received signal, and the current channel characteristic matrix H is obtained.
- channel estimation a general channel estimation method applied to the MIMO system, for example, a pilot based channel estimation method is used.
- the current channel characteristic matrix H obtained by channel estimation is provided to the antenna selection and bit distribution control unit 207.
- step S302 based on the channel characteristic matrix H obtained by the antenna selection 'bit distribution control unit 207, the antenna selection parameter C and the adaptive modulation' coding parameter M are obtained, and the antenna on the receiving side Selection and bit distribution control is performed (details of this process will be described later).
- step S 303 the antenna selection parameter C and the adaptive modulation and coding parameter M are controlled by the antenna selection and bit distribution unit 207 through the feedback channel 208 to actually control data transmission on the transmission side. Feedback to the sender.
- step S311 based on the antenna selection parameter C and the adaptive modulation 'coding parameter M in which the receiving side power is also fed back on the transmitting side, antenna selection and adaptive modulation and coding for transmission data are performed.
- the selected transmit antenna 204 transmits the signal to the receiver side as well as the appropriate transmit antenna 204 is selected.
- step S 304 MIMO detection is performed on the received signal by the MIMO detection unit 209 on the receiving side, and the original transmission data is obtained.
- FIG. 4 is a flowchart showing a method of controlling antenna selection 'bit distribution in the multi-antenna communication system of the present embodiment, that is, a detailed method for realizing step S302 of FIG.
- the antenna selection 'bit distribution control method proposed in the present embodiment will be described in detail with reference to FIG.
- the antenna selection 'bit distribution control method of the present embodiment is a recursion process. Specifically, first, in step S401, initialization is performed.
- the total throughput of the system is R_total bit / s / Hz, and each transmission included in S
- the adaptive modulation ′ coding parameter on the transmission side can be represented by the number R of transmission data bits averaged.
- an appropriate modulation 'coding parameter is selected based on the transmitter's own numerical value.
- adaptive transmission can be realized by fixing modulation parameters and changing coding parameters based on the value of R.
- the channel characteristic is the worst from the set of transmitting antennas S, and the transmitting antenna is selected and marked as transmitting antenna j.
- the transmitting antenna is selected and marked as transmitting antenna j.
- the channel characteristics of a MIMO system can be represented by an n ⁇ n matrix H, and the matrix factor H
- method (1) is realized by the following steps.
- transmission antennas not included in the transmission antenna set S are excluded from comparison.
- the SINR value is the lowest, and the channel characteristics to which the transmitting antenna corresponds are considered the worst.
- MIMO detection method various methods can be used as the MIMO detection method, and there are, for example, ordinary least mean square error method (MMSE), serial interference cancellation method (SIC), and the like.
- MMSE ordinary least mean square error method
- SIC serial interference cancellation method
- method (2) is realized by the following steps.
- the transmit antenna set S calculates the post-detection SINR value corresponding to each transmit antenna, and the post-detection SINR value differs depending on the MIMO detection method actually used, and in many references, Formulas are given.
- the SINR value after detection of the signal transmitted from the k-th transmit antenna is expressed by the following equation.
- H denotes the row vector in the matrix ⁇ ⁇ corresponding to the transmit antennas included in the transmit antenna set S (ie H denotes the matrix ⁇ For each column of, if the corresponding transmit antenna is not included in S, we can obtain by making the column in matrix ⁇ '0').
- the SINR value of the signal transmitted from the k-th transmit antenna after detection is given by the following equation, and I is an n-dimensional unit matrix.
- step S 404 the bit error rates at case A and case B are compared, that is, whether the comparison result is BER (B) ⁇ BER (A) or not! .
- SINR values are calculated after MIMO detection of the signals of the respective transmit antennas, and MIMO detection of the signals of the respective transmit antennas is performed based on the throughput amount distributed to the respective transmit antennas. Then, determine the BER (to obtain the BER value by simulation or logic estimation). In this case, the average value of the corresponding BER values for each transmit antenna is taken as the BER for A, and is denoted here as BER (A).
- the BER (B) is obtained by the same method, and the BER (A) is compared with the BER (B).
- method (1) is realized by the following steps.
- SINR value is calculated after MIMO detection of each transmit antenna signal, and the kth transmit antenna signal is in the case A and case B after detection SINR value is These are denoted as SINR (k) and SINR (k), respectively, and are the same as step S402 described above.
- a comparison table of SINR value and BER value is determined by simulation or logical formula. By searching the comparison table, the SINR value can directly find out the corresponding BER value.
- (C) By searching the comparison table, BER values after MIMO detection of respective transmit antenna signals in case A and case B are determined.
- the SINR values after MIMO detection in cases A and B for the kth transmit antenna signal are BER (k) and BER (k (k), respectively.
- Method (2) In case A, only the BER value corresponding to the transmitting antenna with the lowest SINR after MIMO detection is calculated, which is indicated as BER (A). Obtain BER (B) by the same method, and compare BER (A) with BER (B). Method (2) can significantly reduce the amount of calculation compared to the method described above. Specifically, the method (2) is realized by the following steps.
- a comparison table of SINR value and BER value is determined by simulation or logical formula. By searching the comparison table, the SINR value can directly find out the corresponding BER value.
- SINR ⁇ (A) arg min ⁇ SINR A (k) ⁇
- SINR ⁇ iB arg ⁇ male ⁇
- step S 404 if it is determined that BER (B) ⁇ BER (A), and the number of transmission antennas included in the transmission antenna set S is larger than 1, step S 405 is transferred.
- step S 406 is transferred.
- step S406 the entire process of parameter selection and bit distribution control is ended, and the selected transmit antenna set S, and the amount of throughput R corresponding to all the transmit antennas included in S are obtained. That is, the parameters (S, R) are selected as the final selection result.
- antenna selection parameter C and bit distribution parameter M are obtained. It is a binary sequence of 1's and 0's, and '1' and '0' indicate that the transmitting antenna is or is being used, respectively.
- the value of M is the same as R.
- FIG. 5 and FIG. 6 respectively show the comparison of the BER performance of the method used in the present invention and the conventional method.
- the horizontal axis shows the signal-to-noise ratio (SNR), and the vertical axis shows the bit error rate.
- SNR signal-to-noise ratio
- the total throughput of the system is 8bps ZHz and 12bps ZHz, using a channel fading channel.
- better BER performance can be obtained by using the method of the present invention as compared to the conventional method.
- the antenna selection parameter and the adaptive modulation 'coding parameter are obtained based on the channel characteristic matrix estimated by channel estimation section 206, and these parameters are calculated.
- Antenna selection 'Bit distribution control section 207 that feeds back to the transmission side and controls transmission antenna selection and bit distribution on the transmission side By transmitting only the transmission antenna with good channel characteristics according to the antenna selection parameter is provided.
- the adaptive modulation 'coding parameters allow the system to control the bit distribution (ie throughput) as well as it can.
- transmission antenna selection unit 202 is provided on the transmission side
- the back channel may control transmission antenna selection and bit distribution. Alternatively, it may be performed by the antenna selection 'bit distribution control unit 207 on the receiving side.
- the present invention is not limited to this, and the configuration of FIG. .
- the correspondence relationship between each transmission data substream and each transmission antenna may be changed.
- the multi-antenna communication apparatus of the present invention is applicable to a multi-antenna communication system or the like that performs transmission in a fluctuating channel environment.
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Abstract
La présente invention décrit une unité de commande de distribution de bits/de sélection d'antenne (207), permettant d'obtenir un paramètre de sélection d'antenne et un paramètre de codage/modulation adaptative en fonction d'un tableau de caractéristiques de canal estimé par une unité d'estimation de canal (206), en envoyant les paramètres vers le côté de transmission et en contrôlant la sélection de l'antenne de transmission côté transmission ainsi que la distribution des bits. Ceci permet de réaliser la transmission en n'utilisant qu'une antenne de transmission disposant des caractéristiques de canal préférables, conformément au paramètre de sélection d'antenne et au contrôle de la distribution des bits (c'est-à-dire le débit) par le paramètre de codage/de modulation adaptative, sans pour autant compliquer le système.
Applications Claiming Priority (2)
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CN200510006754.9 | 2005-02-04 | ||
CN 200510006754 CN1815941A (zh) | 2005-02-04 | 2005-02-04 | 多天线传输系统中的天线选择和比特分配方法及装置 |
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WO2006082924A1 true WO2006082924A1 (fr) | 2006-08-10 |
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PCT/JP2006/301865 WO2006082924A1 (fr) | 2005-02-04 | 2006-02-03 | Dispositif de communication a plusieurs antennes |
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CN (1) | CN1815941A (fr) |
WO (1) | WO2006082924A1 (fr) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2008532387A (ja) * | 2005-02-22 | 2008-08-14 | インターデイジタル テクノロジー コーポレーション | 高性能空間的シンボル対応付けを使用するofdm−mimo通信システムおよび関連する方法 |
JP2012500554A (ja) * | 2008-08-20 | 2012-01-05 | エルジー イノテック カンパニー,リミティド | 多重入出力通信システム及びその制御方法 |
Families Citing this family (7)
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---|---|---|---|---|
CN100499396C (zh) * | 2006-08-31 | 2009-06-10 | 华为技术有限公司 | 一种在多输入多输出系统中的通信方法和系统 |
JP4734210B2 (ja) * | 2006-10-04 | 2011-07-27 | 富士通株式会社 | 無線通信方法 |
CN101166047B (zh) * | 2006-10-17 | 2011-11-30 | 中国科学院上海微系统与信息技术研究所 | 利用信道几何均值分解的多天线通信系统的发送装置、接收装置、发送方法及接收方法 |
CN101207595B (zh) * | 2006-12-21 | 2010-09-08 | 鼎桥通信技术有限公司 | 一种同步序列的传输方法及发送端设备 |
WO2009031604A1 (fr) * | 2007-09-07 | 2009-03-12 | Nec Corporation | Système d'estimation du statut de l'arrivée d'ondes radio, son procédé et programme |
WO2010069098A1 (fr) * | 2008-12-15 | 2010-06-24 | Huawei Technologies Co., Ltd. | Procédé d'émission dans un système de communications sans fil |
EP2859668A2 (fr) * | 2012-05-29 | 2015-04-15 | Magnolia Broadband, Inc. | Systèmes et procédés pour améliorer les performances de systèmes mimo rf |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH01200730A (ja) * | 1988-02-05 | 1989-08-11 | Nec Corp | デマンドアサイン方式衛星通信装置 |
JP2004535094A (ja) * | 2001-04-05 | 2004-11-18 | ノーテル・ネットワークス・リミテッド | 多重符号と多重アンテナを用いた無線通信システム用送信装置 |
-
2005
- 2005-02-04 CN CN 200510006754 patent/CN1815941A/zh active Pending
-
2006
- 2006-02-03 WO PCT/JP2006/301865 patent/WO2006082924A1/fr not_active Application Discontinuation
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH01200730A (ja) * | 1988-02-05 | 1989-08-11 | Nec Corp | デマンドアサイン方式衛星通信装置 |
JP2004535094A (ja) * | 2001-04-05 | 2004-11-18 | ノーテル・ネットワークス・リミテッド | 多重符号と多重アンテナを用いた無線通信システム用送信装置 |
Non-Patent Citations (2)
Title |
---|
LOPEZ-VICARIO J. AND ANTON-HAW C.: "Joint transmit antenna selection and adaptive modulation in cross-layer oriented designs for HSDPA systems", SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP PROCEEDINGS 2004, 21 July 2004 (2004-07-21), pages 523 - 527, XP010832547 * |
YUANRUN TENG, MORI K., KOBAYASHI H.: "Performance Analysis of SDM-OFDM System with Adaptive Modulation Method over MIMO Channels", IEICE TECHICAL REPORT, RCS2003-41, vol. 103, no. 66, 16 May 2003 (2003-05-16), pages 75 - 82, XP002985762 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2008532387A (ja) * | 2005-02-22 | 2008-08-14 | インターデイジタル テクノロジー コーポレーション | 高性能空間的シンボル対応付けを使用するofdm−mimo通信システムおよび関連する方法 |
JP2012500554A (ja) * | 2008-08-20 | 2012-01-05 | エルジー イノテック カンパニー,リミティド | 多重入出力通信システム及びその制御方法 |
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