CN107070451A - Device A DC precision collocation methods in a kind of extensive mimo system - Google Patents

Device A DC precision collocation methods in a kind of extensive mimo system Download PDF

Info

Publication number
CN107070451A
CN107070451A CN201710030997.9A CN201710030997A CN107070451A CN 107070451 A CN107070451 A CN 107070451A CN 201710030997 A CN201710030997 A CN 201710030997A CN 107070451 A CN107070451 A CN 107070451A
Authority
CN
China
Prior art keywords
mrow
msub
adc
precision
mfrac
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201710030997.9A
Other languages
Chinese (zh)
Other versions
CN107070451B (en
Inventor
许威
徐锦丹
张华�
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Southeast University
Original Assignee
Southeast University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Southeast University filed Critical Southeast University
Priority to CN201710030997.9A priority Critical patent/CN107070451B/en
Publication of CN107070451A publication Critical patent/CN107070451A/en
Application granted granted Critical
Publication of CN107070451B publication Critical patent/CN107070451B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M1/00Analogue/digital conversion; Digital/analogue conversion
    • H03M1/002Provisions or arrangements for saving power, e.g. by allowing a sleep mode, using lower supply voltage for downstream stages, using multiple clock domains or by selectively turning on stages when needed
    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M1/00Analogue/digital conversion; Digital/analogue conversion
    • H03M1/12Analogue/digital converters
    • H03M1/1205Multiplexed conversion systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/08Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Abstract

The invention discloses device A DC precision collocation methods in a kind of extensive mimo system.It is that the DAC and ADC of the low precision of each antenna element configuration are capable of the overall power of effective controlling transmission system because number of antennas is huge in extensive mimo system.The present invention considers downlink, it is the every bit quantization DAC of antenna configuration low-power consumption 1 as the extensive antenna base station of transmitting terminal, given system target data rate, the present invention can calculate the receiving terminal ADC optimum precisions for determining to meet targeted rate requirement according to the fixed system such as antenna for base station and terminal device number parameter.The present invention calculates simple, can realize aims of systems performance with minimum power consumption cost, has directive significance to the configuration of extensive mimo system and hardware design.

Description

Device A DC precision collocation methods in a kind of extensive mimo system
Technical field
The present invention relates to a kind of extensive MIMO (multiple-input and multiple-output) devices in system ADC (AD conversion unit) precision Collocation method, belongs to wireless communication technology.
Background technology
In recent years, in order to adapt to the mobile data transfer needs being skyrocketed through, wireless communication system is in the urgent need to improving frequency Compose efficiency of transmission.MIMO, i.e., use multiple transmitting antennas and reception antenna in transmitting terminal and receiving terminal, can make full use of respectively Space resources suppresses channel fading, in the case where not increasing frequency spectrum resource and overall emitted power, significantly improves the letter of system Road capacity, with obvious advantage.The extensive MIMO technology proposed on this basis turns into Next-Generation Wireless Communication Systems The key components of (5G).The technology substantially increases wireless signal by configuring hundreds of or even thousands of antennas to base station The spatial degrees of freedom of transmission, so as to improve the spectrum efficiency and channel capacity of system by space division multiplexing.In multi-user In MIMO scheme, multiple single-antenna subscribers are served in a base station simultaneously, and multiple data flows can simultaneously be passed between base station and user It is defeated.As long as antenna for base station number is more than number of users, each user remains able to obtain considerable spatial degrees of freedom.
However, the growth of number of antennas also improves hard-wired complexity simultaneously.In the downlink, each base station Transmitting antenna needs to configure a DAC (D/A conversion unit), and each terminal reception antenna needs to configure an ADC.Therefore, firmly Part cost and power consumption cost quickly increase with the increase of number of antennas.Which greatly limits extensive MIMO application.Pin To this problem, mainly there are two kinds of solutions at present.One is the number for reducing DAC and ADC, uses mixing transceiver to reduce Radio frequency link, such as in the advanced row digital precode of transmitting terminal, then carry out digital-to-analogue conversion, then carries out simulation precoding.Numeral Precoding is still using methods such as traditional broken zero (ZF), maximal ratio transmission (MRT) precodings, and simulating precoding then needs Design in addition.When carrying out beam forming, the lower limit of radio frequency link number is the number of actual transmissions data stream, and beam forming The upper limit of gain is determined by number of antennas;Two be the precision for reducing DAC and ADC, even only with 1 bit under extreme case DAC and ADC, because DAC and ADC power consumption increases with the increase of quantified precision bit number into index percent.At present mostly Scheme is all individually to consider low precision DAC or ADC.Therefore, joint considers the precision allocation problem of the two, especially the two precision Balance, the design of real system tool is of great significance.If both the above scheme is combined, it becomes possible to simultaneously The power consumption of extensive mimo system is reduced in terms of two.
When transmitting terminal configures the DAC of 1 bit, the ADC of receiving terminal configuration infinite precision is not just necessary.Because low The ADC of precision can also obtain the message transmission rate for approaching maximum, and power consumption can reduce many than infinite precision ADC.Change and Yan Zhi, ADC precision need to be weighed between system transmission performance and hardware, power consumption cost.According to specific data rate It is required that the precision to design receiving terminal ADC, realizes there is very important directive significance to system.
The content of the invention
Goal of the invention:In order to overcome the deficiencies in the prior art, the present invention is provided in a kind of extensive mimo system Device A DC precision configuration calculation method, the precision Configuration Values that this method calculates ADC can minimize letter in Transmission system The power consumption of number quantization modules, greatly reduces the overall power of large-scale antenna array system.
Technical scheme:To achieve the above object, the technical solution adopted by the present invention is:Including step:
(1) theoretical according to Bussang, the bit DAC of Base Transmitter antenna configuration 1, terminal reception antenna configures preferable nothing When limiting Precision A/D C, the received signal to noise ratio γ of each user in downlinkidealFor:
Wherein, ρDAC=0.3634, represent affecting parameters of the 1 bit quantization DAC to received signal to noise ratio;Antenna for base station number For N, terminal single-antenna subscriber number is M, and transmission power is P, and receiving terminal thermal noise power is N0
(2) according to Bussang theories and step (1), the bit DAC of Base Transmitter antenna configuration 1, the configuration of terminal reception antenna Quantizing bit number is kADCLow Precision A/D C when, the received signal to noise ratio γ of each user is in downlink:
Wherein, kADC>=3, ρ represent decay factors of the low Precision A/D C to received signal to noise ratio;ρ and kADCRelation be:
(3) when target data rate is η times of ideal rate, according to shannon formula, have
Log (1+ γ)=η log (1+ γideal)
Formula (2) is substituted into, decay factor ρ can be solved:
(4) obtained by step (3) after ρ, further according to the configuration required for formula (3) computing terminal reception antenna ADC precision Value kADC
Wherein,Expression rounds up.
Beneficial effect:Device A DC precision collocation method in the extensive mimo system that the present invention is provided, relative to existing Technology, with following advantage:1st, the present invention configures 1 bit DAC premise from the extensive mimo system overall situation in transmitting terminal Under, balance message transmission rate and system hardware, power consumption cost determine receiving terminal ADC precision, result in total optimization Performance;2nd, the present invention is approximately linear to the non-linear effects of user data rate by DAC and ADC quantified precisions, simplifies and asks Solution preocess, reduces computation complexity;3rd, antenna for base station number N, number of users M, transmission power P, noise power in the present invention N0Value is flexible;Therefore, the program is applied to the extensive mimo system of multi-user under any signal to noise ratio;4th, the present invention is for reality The design of border system has important value;Under given data rate requirement, the present invention can quickly determine ADC precision, The performance of demand is obtained with minimum power consumption cost.
Brief description of the drawings
Fig. 1 is transmitting terminal, the receiving terminal block diagram of extensive mimo system in the present invention;
The schematic diagram that Fig. 2 is handled signal for low Precision A/D C in the present invention in receiving terminal;
Under Fig. 3 is specified criteria, the signal changed according to the obtained ADC precision of present invention calculating with target data rate Figure;
Under Fig. 4 is specified criteria, the schematic diagram changed according to the obtained ADC precision of present invention calculating with signal to noise ratio.
Embodiment
The present invention is further described below in conjunction with the accompanying drawings.
Fig. 1 illustrates transmitting terminal, the receiving terminal block diagram of extensive mimo system in the present invention.In transmitting terminal, initial data M symbol is generated through ovennodulation, then N number of complex signal, the real part of each complex signal, imaginary part difference is produced by precoding Analog signal is produced by DAC, is eventually passed after radio frequency link (RF) by the transmitting of N roots antenna.In receiving terminal, M single antenna is used Family is respectively received signal, after radio frequency link is handled, then obtains data signal through ADC processing, eventually passes demodulation Recover initial data.
Fig. 2 illustrates the operating process of the low Precision A/D C docking collection of letters number, ADC precision kADCFor 1 bit, transmitting antenna number N is 32, and number of users M is 8.Signal y is reception signal after radio frequency link is handled in figure, as can be seen from the figure y- It is continuously distributed between 5~10;Signal yqFor the output signal after ADC is handled, as can be seen from the figure yqOnly 2 kinds values. Obviously, the processing through too low Precision A/D C, receives signal and generates distortion, and kADCSmaller, distortion is more serious.Therefore, in order to drop Low system power dissipation and use low Precision A/D C, can on system transmission performance produce influence.Specifically, transmission rate can be lowered.
Fig. 3 is given in signal to noise ratio P/N0Under conditions of=0dB, N=128, M=8, target data rate is respectively ideal Speed 0~100% when, calculate obtained ADC precision according to the algorithm of the present invention.It can be seen that if it is desired that number 0~39%, ADC of ideal rate precision is reached according to speed all will at least reach 1 bit;If reaching 40%~76%, Then at least want 2 bits;If reaching 77%~93%, 3 bits are at least reached;If reaching 94%~98%, At least to reach 4 bits.Calculate kADCComprise the following steps that:
(1) by N=128, M=8, signal to noise ratio P/N0=0dB, calculating obtains 1 bit DAC of configuration and preferable infinite precision During ADC, the received signal to noise ratio γ of each user in downlinkideal, formula is:
Wherein, ρDAC=0.3634, represent affecting parameters of the 1 bit quantization DAC to received signal to noise ratio.
(2) according to Bussang theories and step (1), the bit DAC of Base Transmitter antenna configuration 1, the configuration of terminal reception antenna Quantizing bit number is kADCLow Precision A/D C when, the received signal to noise ratio γ of each user is in downlink:
Wherein, kADC>=3, ρ represent decay factors of the low Precision A/D C to received signal to noise ratio;ρ and kADCRelation be:
(3) when target data rate is η times of ideal rate, according to shannon formula, there are log (1+ γ)=η log (1+ γideal), target data rate η and formula (2) are substituted into formula, decay factor ρ is calculated, formula is:
(4) ρ and formula (3) computing terminal reception antenna obtained by step (2) ADC precision kADC, formula is:
Wherein,Expression rounds up.
Fig. 4 is given under conditions of N=128, M=8, and target data rate η is respectively 50%, 70%, when 90%, this hair It is bright to calculate obtained ADC precision kADCWith signal to noise ratio P/N0The schematic diagram of change.P/N0Scope be -15dB to 15dB.From figure As can be seen that for identical target data rate η, signal to noise ratio is higher, kADCValue is bigger.Illustrate in systems in practice, noise Than higher, the requirement to hardware such as ADC is higher.
The present invention is from the extensive mimo system overall situation, on the premise of transmitting terminal configures 1 bit DAC, according to step (1) the ADC precision k that-(4) are obtainedADC, it is to ensure that data rate reaches η γidealUnder conditions of, minimum precision.Precision is got over Small, hardware, power consumption cost are smaller.Therefore present invention balance message transmission rate and system hardware, power consumption cost, with it is minimum into Originally targeted rate is realized.
Described above is only the preferred embodiment of the present invention, it should be pointed out that:For the ordinary skill people of the art For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should It is considered as protection scope of the present invention.

Claims (1)

1. device A DC precision collocation methods in a kind of extensive mimo system, it is characterised in that:Including step:
(1) theoretical according to Bussang, the bit DAC of Base Transmitter antenna configuration 1, terminal reception antenna configuration is preferably unlimited smart When spending ADC, the received signal to noise ratio γ of each user in downlinkidealFor:
<mrow> <msub> <mi>&amp;gamma;</mi> <mrow> <mi>i</mi> <mi>d</mi> <mi>e</mi> <mi>a</mi> <mi>l</mi> </mrow> </msub> <mo>=</mo> <mfrac> <mrow> <msup> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msub> <mi>&amp;rho;</mi> <mrow> <mi>D</mi> <mi>A</mi> <mi>C</mi> </mrow> </msub> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mi>P</mi> <mrow> <mo>(</mo> <mfrac> <mi>N</mi> <mi>M</mi> </mfrac> <mo>-</mo> <mn>1</mn> <mo>)</mo> </mrow> </mrow> <mrow> <msub> <mi>&amp;rho;</mi> <mrow> <mi>D</mi> <mi>A</mi> <mi>C</mi> </mrow> </msub> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msub> <mi>&amp;rho;</mi> <mrow> <mi>D</mi> <mi>A</mi> <mi>C</mi> </mrow> </msub> <mo>)</mo> </mrow> <mi>P</mi> <mo>+</mo> <msub> <mi>N</mi> <mn>0</mn> </msub> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>)</mo> </mrow> </mrow>
Wherein, ρDAC=0.3634, represent affecting parameters of the 1 bit quantization DAC to received signal to noise ratio;Antenna for base station number is N, Terminal single-antenna subscriber number is M, and transmission power is P, and receiving terminal thermal noise power is N0
(2) according to Bussang theories and step (1), the bit DAC of Base Transmitter antenna configuration 1, terminal reception antenna configuration quantifies Bit number is kADCLow Precision A/D C when, the received signal to noise ratio γ of each user is in downlink:
<mrow> <mi>&amp;gamma;</mi> <mo>=</mo> <mfrac> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <mi>&amp;rho;</mi> <mo>)</mo> <msub> <mi>&amp;gamma;</mi> <mrow> <mi>i</mi> <mi>d</mi> <mi>e</mi> <mi>a</mi> <mi>l</mi> </mrow> </msub> </mrow> <mrow> <msub> <mi>&amp;rho;&amp;gamma;</mi> <mrow> <mi>i</mi> <mi>d</mi> <mi>e</mi> <mi>a</mi> <mi>l</mi> </mrow> </msub> <mo>+</mo> <mn>1</mn> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>2</mn> <mo>)</mo> </mrow> </mrow>
Wherein, kADC>=3, ρ represent decay factors of the low Precision A/D C to received signal to noise ratio;ρ and kADCRelation be:
<mrow> <mi>&amp;rho;</mi> <mo>=</mo> <mfrac> <mrow> <msqrt> <mn>3</mn> </msqrt> <mi>&amp;pi;</mi> </mrow> <mn>2</mn> </mfrac> <msup> <mn>2</mn> <mrow> <mo>-</mo> <mn>2</mn> <msub> <mi>k</mi> <mrow> <mi>A</mi> <mi>D</mi> <mi>C</mi> </mrow> </msub> </mrow> </msup> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>3</mn> <mo>)</mo> </mrow> </mrow>
(3) when target data rate is η times of ideal rate, according to shannon formula, obtain
Log (1+ γ)=η log (1+ γideal)
Formula (2) is substituted into, decay factor ρ is solved:
<mrow> <mi>&amp;rho;</mi> <mo>=</mo> <mfrac> <mrow> <msup> <mrow> <mo>(</mo> <mn>1</mn> <mo>+</mo> <msub> <mi>&amp;gamma;</mi> <mrow> <mi>i</mi> <mi>d</mi> <mi>e</mi> <mi>a</mi> <mi>l</mi> </mrow> </msub> <mo>)</mo> </mrow> <mrow> <mn>1</mn> <mo>-</mo> <mi>&amp;eta;</mi> </mrow> </msup> <mo>-</mo> <mn>1</mn> </mrow> <msub> <mi>&amp;gamma;</mi> <mrow> <mi>i</mi> <mi>d</mi> <mi>e</mi> <mi>a</mi> <mi>l</mi> </mrow> </msub> </mfrac> </mrow>
(4) obtained by step (3) after ρ, further according to the Configuration Values required for formula (3) computing terminal reception antenna ADC precision kADC
Wherein,Expression rounds up.
CN201710030997.9A 2017-01-17 2017-01-17 Equipment ADC precision configuration method in large-scale MIMO system Active CN107070451B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710030997.9A CN107070451B (en) 2017-01-17 2017-01-17 Equipment ADC precision configuration method in large-scale MIMO system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710030997.9A CN107070451B (en) 2017-01-17 2017-01-17 Equipment ADC precision configuration method in large-scale MIMO system

Publications (2)

Publication Number Publication Date
CN107070451A true CN107070451A (en) 2017-08-18
CN107070451B CN107070451B (en) 2020-07-03

Family

ID=59598516

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710030997.9A Active CN107070451B (en) 2017-01-17 2017-01-17 Equipment ADC precision configuration method in large-scale MIMO system

Country Status (1)

Country Link
CN (1) CN107070451B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108365873A (en) * 2018-01-12 2018-08-03 东南大学 Using the extensive MIMO adaptive transmission methods of low Precision A/D C millimeter waves
CN110176950A (en) * 2019-04-22 2019-08-27 江苏大学 A kind of extensive mimo system uplink optimum quantization bit number calculation method of low Precision A/D C

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1770672A (en) * 2005-10-21 2006-05-10 北京交通大学 Space-time block code MT-CDMA system uplink transmitting and receiving method
WO2006112030A1 (en) * 2005-04-14 2006-10-26 Matsushita Electric Industrial Co., Ltd. Wireless reception apparatus and wireless reception method
CN101547066A (en) * 2008-03-25 2009-09-30 中兴通讯股份有限公司 MU-MIMO mode-based method for indicating downlink precoding information
CN101621321A (en) * 2008-06-30 2010-01-06 三星电子株式会社 Closed loop constant modulus multi-user MIMO system and a control signaling processing method thereof

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006112030A1 (en) * 2005-04-14 2006-10-26 Matsushita Electric Industrial Co., Ltd. Wireless reception apparatus and wireless reception method
CN1770672A (en) * 2005-10-21 2006-05-10 北京交通大学 Space-time block code MT-CDMA system uplink transmitting and receiving method
CN101547066A (en) * 2008-03-25 2009-09-30 中兴通讯股份有限公司 MU-MIMO mode-based method for indicating downlink precoding information
CN101621321A (en) * 2008-06-30 2010-01-06 三星电子株式会社 Closed loop constant modulus multi-user MIMO system and a control signaling processing method thereof

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108365873A (en) * 2018-01-12 2018-08-03 东南大学 Using the extensive MIMO adaptive transmission methods of low Precision A/D C millimeter waves
CN108365873B (en) * 2018-01-12 2021-03-23 东南大学 Large-scale MIMO self-adaptive transmission method adopting low-precision ADC millimeter waves
CN110176950A (en) * 2019-04-22 2019-08-27 江苏大学 A kind of extensive mimo system uplink optimum quantization bit number calculation method of low Precision A/D C
CN110176950B (en) * 2019-04-22 2021-08-03 江苏大学 Method for calculating optimal quantization bit number of uplink of low-precision ADC large-scale MIMO system

Also Published As

Publication number Publication date
CN107070451B (en) 2020-07-03

Similar Documents

Publication Publication Date Title
CN101499833B (en) MIMO communication system and transmission station
CN106603130A (en) Mixed digital-analog pre-coding method for large-scale MIMO system
CN106685495A (en) Wireless communication method and wireless communication equipment
CN105306125A (en) Asymmetrical shared hybrid beam forming transmitting-receiving device
CN107017927A (en) DAC precision collocation methods in base station in a kind of extensive mimo system
CN102185683B (en) Signal-to-leakage-and-noise ratio (SLNR) rule statistic-based MIMO (Multiple Input Multiple Output) multi-user downlink transmission method
CN101079660B (en) Downlink power distribution method of multi-user JT MIMO system
CN101984572B (en) Self-adaption precoding matrix indexing feedback method adaptive to joint transmission
CN104168659B (en) Multiple cell mimo system user scheduling method under MRT precoding strategies
CN104617996A (en) Precoding design method of maximized minimum signal to noise ratio in large-scale MIMO (multiple input multiple output) system
CN103138815A (en) Precoding method based on incomplete channel information in space correlation multiple inputs, single output (MISO) system
CN105515625A (en) Multi-user downlink transmission method based on spatial modulation of receiving end
CN106357315B (en) A kind of large-scale multiple antennas network energy efficiency resource allocation methods with incomplete CSI
CN102546123A (en) Uplink precoding method and base station
CN102237950A (en) User equipment, base station and channel information feedback method
CN101848174A (en) Transmission preprocessing method and data demodulation method of transmission preprocessing signals
CN107070451A (en) Device A DC precision collocation methods in a kind of extensive mimo system
Zhou et al. A low-complexity multiuser adaptive modulation scheme for massive MIMO systems
CN105049099B (en) The multi-antenna adaptive dispatching method of LTE multiaerial systems
CN104320170A (en) Pilot pollution abatement beam forming method for large-scale MIMO system
CN101626283B (en) Uniform channel decomposition method for vertical layered space-time coding communication system
CN100521573C (en) Space-time grouping code downriver transmitting power distributing method based on error sign ratio
CN100428864C (en) Space-time block code downlink transfer power distribution method based on interrupt probability
CN107104715A (en) A kind of interference alignment schemes based on day line options
CN102468876A (en) Distributed antenna system and power distribution method thereof

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant