CN101472298B - User scheduling method and apparatus for TDD multi-input multi-output down emission system - Google Patents
User scheduling method and apparatus for TDD multi-input multi-output down emission system Download PDFInfo
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Abstract
The invention provides a subscriber scheduling method for a time division duplex (TDD) multiple-input multiple-output (MIMO) downlink transmission system and a device thereof, and belongs to the field of communication. The method comprises the following steps: obtaining gain, obtaining a primary service sub-channel and obtaining a secondary service sub-channel, wherein, during the step for obtaining the gain, the effective gain of each of at least two available sub-channels can be obtained according to the channel gain of the at least two available sub-channels of an active subscriber and the correlation coefficient between the two available sub-channels; during the step for obtaining the primary service sub-channel, one available sub-channel is selected from the at least two available sub-channels as a service sub-channel according to the effective gain; and during the step for obtaining sub selected serving channel, the effective gain is re-calculated according to the related coefficient between the left available sub-channels and the recently selected service sub-channel. The invention ensures that the dynamic switch between SU-MIMO and MU-MIMO can be performed while the active subscriber is efficiently scheduled for services.
Description
Technical field
The present invention relates to multi-input multi-output down emission system, particularly relate to a kind of user scheduling method and device of TDD multi-input multi-output down emission system.
Background technology
MIMO (Multiple Input Multiple Output, multiple-input, multiple-output) system can be divided into MU-MIMO (multi-user's multiple-input, multiple-output) system and SU-MIMO (single user's multiple-input, multiple-output) system.
FDD (Frequency Division Duplex, Frequency Division Duplexing (FDD)) in the system, if the precoding emission is adopted in the base station, the user need feed back CQI (Channel Quality Indicator by feedback channel so, the channel quality indication), descending channel information, and other necessary information is given the base station, user's scheduling and precoding processing are carried out according to these information in the base station, but feedback channel has reduced the spectrum efficiency of channel, and the feedback information volume that how to reduce the FDD system is the focus of FDD system communication research.
In TDD (Time Division Duplex, the time division duplex) system, all be to use identical frequency resource owing to transmit and receive, channel has reciprocal attribute, and therefore, transmitter can utilize the channel reciprocity attribute to obtain descending channel information.Therefore, compare with the FDD system, in the TDD communication system transmitter can obtain more, better descending channel information.Like this, just need not the user feedback descending channel information, significantly reduced the feedback burden.Just be based on this principle, the present invention and following prior art mainly are based on tdd systems and propose the method that user's scheduling is carried out in the base station, and the modulation coding mode system of selection of each user and subchannel (or subchannel stream).
In multi-user's multi-input multi-output down emission system, in same wireless RB (resource block, Resource Block), a plurality of users can be dispatched in the base station, when identical, resource communicates frequently.Studies confirm that having abundant user to have simultaneously under the situation that activity data need transmit, the MU-MIMO system can obtain more to gain than SU-MIMO system.But in MU-MIMO, there is common-channel interference, therefore, the base station can be limited with the number of users of identical running time-frequency resource service, schedule activities user (active user: refer to the user that has data to transmit at buffering area how efficiently, the user that the transfer of data demand is just arranged) serving is the problem that the base station must solve, and, also to reasonably select the user to reduce to greatest extent or the inhibition inter-user interference.Therefore, in order to guarantee the spectrum efficiency of MU-MIMO, the user of scheduling must satisfy some criterions.Supposing has two different user A and B, can communicate by multiplexing effectively identical physical resource in order to make them, below three criterions must satisfy: 1) in the identical time, user A and B have data to need to send; 2) on identical frequency subband, user A and B have high channel gain; 3) user A and B have very low space mutual interference.Criterion 2) can guarantee that service-user (or claiming the service subchannel) has high throughput, criterion 3) then ensured to have enough low mutual interference between the service-user.
On the other hand, MU-MIMO and SU-MIMO also have performance advantage separately, and MU-MIMO can obtain bigger average sector throughput, and SU-MIMO can make each user obtain the largest peaks message transmission rate.In addition, because the diversity of business model occurs having only an active user to have data to need transmission through regular meeting.In this case, should use the SU-MIMO pattern, allow the user send data as early as possible to increase user's peak-data transmission rate.Therefore, the dynamic switching of SU-MIMO and MU-MIMO needs.User's dispatching method is when guaranteeing user communication quality, and the maximized system capacity of also will trying one's best is to obtain the maximization average sector throughput.
Therefore, how when the schedule activities user serves efficiently, also will ensure the dynamic switching of SU-MIMO and MU-MIMO, be urgent problem, and prior art does not also have to propose effective solution, below is giving an example of prior art solution.
Existing solution 1: the random schedule pre-coding scheme, basic principle is: system selects the user of those instantaneous channel gain maximums to obtain base station services, and forms precoding.This design for scheme target is exactly make whole system throughput-maximized.Be also referred to as " multi-user diversity ".The shortcoming of this scheme is: do not consider the interference between the user, the performance that unique user may occur reduces, and, because inter-user interference causes the decline of system spectral efficiency.
Existing solution 2: transmitter is estimated the descending channel information of all active users, calculates the channel relevancy of these active users then, and the user of selective channel correlation minimum is as service-user.The shortcoming of this scheme is: this method has minimized the interference between the service-user, has promptly only satisfied criterion 1) and 3), maximized communication performance.But this method is not considered the communication quality of single service-user, and promptly criterion 2), can not guarantee to maximize user throughput.Secondly, this method does not solve the automatic switchover problem of MU-MIMO and SU-MIMO.
Existing solution 3: based on greedy user's back-and-forth method of the maximized system capacity of reducing the hunting zone.The shortcoming of this scheme is: this scheme has been considered the channel quality of unique user, has also considered power system capacity simultaneously, and in the mode of mathematical optimization, promptly maximized system capacity is carried out user's selection.The shortcoming of this scheme is: complexity is higher.Secondly, this scheme can not self adaptation be switched between MU-MIMO and SU-MIMO, only is the MU-MIMO pattern.And this scheme does not relate to user's modulation coding mode system of selection.
Summary of the invention
The user scheduling method and the device that the purpose of this invention is to provide a kind of TDD multi-input multi-output down emission system, taken all factors into consideration criterion 1) to 3), to carry out user's scheduling, also solve prior art can not ensure the dynamic switching of SU-MIMO and MU-MIMO when the schedule activities user serves efficiently technical problem.
To achieve these goals, the invention provides a kind of user scheduling method of TDD multi-input multi-output down emission system, comprise: gain obtains step, according to the channel gain of at least two available subchannels of active user and the actual gain that the coefficient correlation between described at least two available subchannels is obtained each described at least two available subchannels; First-selected service subchannel obtains step, selects an available subchannels at least as the service subchannel from described two available subchannels according to described actual gain; Inferior choosing service subchannel obtains step, recomputates actual gain according to the coefficient correlation between residue available subchannels and the up-to-date service subchannel of selecting, and selects next service subchannel according to the described actual gain that recomputates.
Preferably, above-mentioned method, described gain obtains step and specifically comprises: channel set obtains step, obtains the channel set of all available subchannels that all active users have and the channel gain of each described available subchannels; The gain calculating step is calculated the coefficient correlation between per two described available subchannels, obtains the actual gain of each described available subchannels according to described channel gain and described coefficient correlation.
Preferably, above-mentioned method, described first-selected service subchannel obtains step and specifically comprises: the available subchannels of selecting the actual gain maximum is as the service subchannel; Described service subchannel is removed from described channel set.
Preferably, above-mentioned method, described time choosing service subchannel obtains step and specifically comprises: calculate in the described channel set each available subchannels with respect to the coefficient correlation of the service subchannel of up-to-date selection; Regain the actual gain of each described available subchannels according to this coefficient correlation, the available subchannels of selecting the actual gain maximum is as the service subchannel; Should serve subchannel removes from described channel set.
Preferably, above-mentioned method, described time choosing service subchannel obtains also to comprise after the step: determining step, judge whether the number of service subchannel reaches predetermined quantity, be then to finish to select, obtain step otherwise return described choosing service subchannel.
Preferably, above-mentioned method, described channel set obtains step and specifically comprises: single-unit activity user's channel estimating information is carried out feature decomposition obtain diagonal matrix, the number of nonzero element is the number of the available subchannels of this active user on the described diagonal matrix diagonal, and the value of the element entry on the described diagonal matrix diagonal is the channel gain of corresponding described available subchannels; Handle all active users one by one, obtain the channel gain of described channel set and each described available subchannels.
Preferably, above-mentioned method, also comprise after the described determining step: utilize the noise power of estimation and the actual gain of each described service subchannel correspondence, estimate the Signal to Interference plus Noise Ratio of each described service subchannel, and be that described service subchannel is determined modulation coding mode according to described Signal to Interference plus Noise Ratio.
To achieve these goals, the present invention also provides a kind of user dispatching device of TDD multi-input multi-output down emission system, comprise: channel set obtains the unit, is used for: obtain the channel set of all available subchannels that all active users have and the channel gain of each described available subchannels; Connect the first-selection service subchannel acquisition unit that described channel set obtains the unit, be used for: calculate the coefficient correlation between per two described available subchannels, obtain the actual gain of each described available subchannels according to described channel gain and described coefficient correlation, select available subchannels as the service subchannel according to actual gain, and described service subchannel is removed from described channel set.
Preferably, above-mentioned device, also comprise: time choosing service subchannel that connects described first-selected service subchannel acquisition unit obtains the unit, be used for: calculate the coefficient correlation of each available subchannels of described channel set with respect to the service subchannel of up-to-date selection, regain the actual gain of each described available subchannels according to this coefficient correlation, the available subchannels of selecting the actual gain maximum is as the service subchannel, and should serve subchannel and remove from described channel set.
Preferably, above-mentioned device also comprises: connect the judging unit of described choosing service subchannel acquisition unit, be used for: whether the number of judging the service subchannel reaches predetermined quantity, be then to finish to select, otherwise return the function of carrying out described choosing service subchannel.
Preferably, above-mentioned device, described channel set obtains to comprise the feature decomposition unit in the unit, be used for: single-unit activity user's channel estimating information is carried out feature decomposition obtain diagonal matrix, the number of nonzero element is the number of the available subchannels of this active user on the described diagonal matrix diagonal, and the value of the element entry on the described diagonal matrix diagonal is the channel gain of corresponding described available subchannels.
Preferably, above-mentioned device, also comprise the modulation coding mode order unit really that connects described judging unit, be used for: utilize the noise power of estimation and the actual gain of each described service subchannel correspondence, estimate the Signal to Interference plus Noise Ratio of each described service subchannel, and be that described service subchannel is determined modulation coding mode according to described Signal to Interference plus Noise Ratio.
Preferably, above-mentioned device, described service subchannel are not the available subchannels of actual gain minimum
Preferably, above-mentioned device, described service subchannel are the available subchannels of actual gain maximum.
The technique effect of the embodiment of the invention is:
1, " actual gain " of embodiment of the invention employing is to take all factors into consideration user's selection criterion of unique user channel quality (subchannel gains) and inter-user interference (channel coefficient correlation), therefore, the embodiment of the invention has also guaranteed the throughput of unique user when minimum user is disturbed (being equivalent to maximized system capacity);
2, under the fewer situation of the active user with activity data, the embodiment of the invention can be automatically by the MU-MIMO mode switch to the SU-MIMO pattern, to obtain maximization user peak-data transmission rate;
3, " actual gain " also is used to the base station and determines modulation coding mode for each user or subchannel, be equivalent under the fdd mode, the method of modulating-coding is selected according to the CQI of user feedback in the base station, because actual gain and the ratio of noise are the estimation of subchannel Signal to Interference plus Noise Ratio.
Description of drawings
Fig. 1 is the flow chart of steps of the inventive method embodiment;
The structure chart of the TDD multi-input multi-output down emission system that Fig. 2 provides for the embodiment of the invention;
The modular structure figure of the Adaptive Modulation and Coding control unit that Fig. 3 provides for the embodiment of the invention;
The calculation flow chart of the user scheduling method that Fig. 4 provides for the embodiment of the invention;
The operational instances (base station 2 antennas, portable terminal 2 antennas) that MU-MIMO that Fig. 5 a, 5b provide for the embodiment of the invention and SU-MIMO automatically switch
The bit error rate performance curve chart of several user's dispatching algorithms that Fig. 6 provides for the embodiment of the invention;
Fig. 7 is the fairness analysis chart of user scheduling method embodiment of the present invention;
Fig. 8 is the flow chart of selection of the modulation coding mode of the inventive method embodiment.
Embodiment
For the purpose, technical scheme and the advantage that make the embodiment of the invention is clearer, specific embodiment is described in detail below in conjunction with accompanying drawing.
Fig. 1 is the flow chart of steps of the inventive method embodiment, and as figure, the inventive method embodiment comprises:
Channel set obtains step S101: obtain the channel set of all available subchannels that all active users have and the channel gain of each described available subchannels;
First-selected service-user (service subchannel) obtains step S102: calculate the coefficient correlation between per two described available subchannels, obtain the actual gain of each described available subchannels according to described channel gain and described coefficient correlation, the available subchannels of selecting the actual gain maximum is as service-user, and described service-user is removed from described channel set;
The inferior service-user that selects obtains step S103: calculate in the described channel set each available subchannels with respect to the coefficient correlation of the service-user of up-to-date selection, regain the actual gain of each described available subchannels according to this coefficient correlation, the available subchannels of selecting the actual gain maximum is as service-user, and this service-user is removed from described channel set;
Determining step S104: whether the number of judging service-user reaches predetermined quantity, is then to finish to select, and selects service-user to obtain step otherwise return described time.
Alternatively, definite step S105 that can also comprise modulation coding mode: utilize the noise power of estimation and the actual gain of each described service-user correspondence, estimate the Signal to Interference plus Noise Ratio of each described service-user, and be that described service-user is determined modulation coding mode according to described Signal to Interference plus Noise Ratio.
The structure chart of the TDD multi-input multi-output down emission system that Fig. 2 provides for the embodiment of the invention, as figure, the user dispatching device that the embodiment of the invention provides comprises the Adaptive Modulation and Coding control unit 20 among the figure, be used for selecting an available subchannels as service-user according to described actual gain according to the channel gain of the available subchannels of active user and the actual gain that the coefficient correlation between the described available subchannels is obtained described available subchannels; Recomputate actual gain according to the coefficient correlation between residue available subchannels and the up-to-date service-user of selecting, and select next service-user according to the described actual gain that recomputates.
The modular structure figure of the Adaptive Modulation and Coding control unit that Fig. 3 provides for the embodiment of the invention, as figure, Adaptive Modulation and Coding control unit 20 include with Fig. 1 in the corresponding functional module of step, comprise that channel set obtains that unit 201, first-selected service-user obtain unit 202, the inferior service-user that selects obtains unit 203, judging unit 204, modulation coding mode order unit 205 really.
Wherein, first-selected service-user obtains unit 202, be used for: calculate the coefficient correlation between per two described available subchannels, obtain the actual gain of each described available subchannels according to described channel gain and described coefficient correlation, select available subchannels as the service subchannel according to actual gain, and described service subchannel is removed from described channel set.Described service subchannel is an available subchannels that actual gain is bigger, be preferably the available subchannels of actual gain maximum, the calculation flow chart of the user scheduling method that provides for the embodiment of the invention for available subchannels Fig. 4 of actual gain minimum not, as figure, flow process comprises:
S401, the base station must estimate uplink channel information according to the uplink pilot signal of active user, and utilizes the descending channel information of the reciprocal attribute acquisition active user of TDD channel
Wherein, k is active user index and 1≤k≤K, and K is the active user number;
Be N
Rk* N
tThe dimension matrix, N
RkBe k user's number of antenna elements, N
tBe antenna for base station unit number.In user's high-speed mobile or surpass up-downgoing blanking time channel coherence time etc., under the ruined situation of channel reciprocity attribute, also can use other sane channel estimation methods of the prior art.
S402 establishes the base station and will dispatch R user from K active user and serve simultaneously, according to the channel information of k active user
Calculate the channel gain G of available subchannels
Ki(i is a sub-channel index, and 1≤i≤P) with the available subchannels number P.Method is: to channel estimating
Carry out channel characteristics and decompose, promptly
Wherein, D
kBe diagonal matrix, diagonal nonzero element G
KiNumber be exactly the available subchannels number P of user k, diagonal entry is exactly the channel gain G of corresponding subchannel
KiU
kThe receive channel eigenmatrix of representing k user; V
kBe expressed as k user's send channel matrix.K * P subchannel formed set A U={au
Ki| 1≤k≤K, 1≤i≤P} is with the subchannel gains formation gain sets G={G of correspondence
Ki| 1≤k≤K, 1≤i≤P};
S403, the coefficient correlation of subchannel in twos among computational activity user's set A U, and storage.The computational methods of the channel coefficient correlation of the i subchannel of user k and the j subchannel of user l are:
Wherein, V
KiThe emission correlation matrix V of expression user k
kI row column vector; V
LjThe emission correlation matrix V of expression user l
lJ row column vector;
S404, the equivalent gain of each subchannel among the calculating AU, computational methods are:
The equivalent gain of each subchannel is stored.
S405, the selection of first service-user.Selection has the subchannel and the respective user au of maximum equivalent gain
KiAs first service-user, promptly maximum subchannel gains G
Ki'=max (G
Ki': 1≤k≤K, 1≤i≤P), and with its adding service-user S set U={au
Ki, and from the AU set, shift out, from set G, shift out corresponding subchannel gains;
S406 judges the service-user number R whether the service-user number among the S set U equals to set, if, withdraw from the service-user scheduler program, otherwise, continue to carry out S407;
S407, the subchannel of up-to-date selection and respective user au among the set of computations SU
KiWith all the other user's subchannel au among the AU
LjEquivalent subchannel gains,
S408 selects to have subchannel and the respective user au that maximum equivalent gains
LjAs second service-user, promptly
And adding SU set, i.e. SU={au
Ki, au
Lj, and from the AU set, shift out, from set G, shift out corresponding subchannel gains.Simultaneously, upgrade the corresponding element value of gathering among the G respectively with the equivalent gain of calculating;
Repeating step S406～S408 finishes up to scheduler program.
Among the above embodiment, if the active user number is fewer, and the coefficient correlation between the user is very high, so at this moment, through after above user's selection course, possible system has finally only selected a user to serve, in this case, the actual Single User MIMO situation (SU-MIMO) that becomes, promptly dispatching algorithm can be switched according to environment self adaptation between MU-MIMO and SU-MIMO.Embodiment shown in Fig. 5 a, 5b, base station and user have 2 antennas and are used to transmit and receive.At first, total A is to E totally 5 users in the sub-district of base station services, but user E does not also have data to transmit.Initial selected user C of system and A service.To the 2nd x time, the transfer of data of user C finishes, and active user has only A, B and D, because that three users lean on is closer, the channel coefficient correlation is very high, cause the efficient channel gain of user B and C very low, therefore, 2 subchannels of base station scheduling user A all carry out transfer of data, be that system has become the SU-MIMO pattern by the MU-MIMO mode switch, promptly inter-user interference may be serious condition under, base station selected SU-MIMO pattern has preferentially ensured the peak-data transmission rate of unique user.User's situation of dispatching of all the other x time base stations can similarly be analyzed among Fig. 5 a, the 5b.
What Fig. 6 showed is the bit error rate performance curve of several user's dispatching algorithms, and the analogue system condition is: base station 4 antennas, and 2 antennas of each travelling carriage, active user 40 selects 4 users to accept service simultaneously at every turn.Signal to noise ratio (snr) unit is a decibel (dB), and modulation system is QPSK, falt fading channel at random.If select 2 users to serve simultaneously at every turn, simulation shows that the probability of SU-MIMO pattern is about 6%.What Fig. 7 showed is the fairness analysis of user scheduling method embodiment of the present invention, and contrasts with reference scheme, and as can be seen, user scheduling method embodiment of the present invention has similar scheduling fairness to reference scheme.
Fig. 8 is the selection flow chart of the modulation coding mode of the inventive method embodiment.Base station selected service-user, i.e. SU set, next, the base station is that they select suitable modulation coding modes according to the channel quality of the service-user of these scheduling, it is selected according to will being the Signal to Interference plus Noise Ratio (SINR) of user's subchannel.If do not have based on feedback link in the TDD system, the base station can't obtain the SINR of the subchannel of user's measurement so.But according to the principle of service-user system of selection, present embodiment is reasonably with the selection foundation that likens to modulation coding mode of efficient channel gain and noise power, because the factor that other user disturbs has been considered in the efficient channel gain.The efficient channel gain is an amount that is similar to SINR with the ratio of noise power, and is still, enough with its selection foundation as the sub-channel modulation coding mode.So, as Fig. 8, the selection flow process of modulation coding mode comprises:
S801, two two users' that stored among the step S403 according to above embodiment coefficient correlation, corresponding subchannel au among the set of computations SU
KiEquivalent channel gain, account form is as follows:
S802, the ratio EGNR of the efficient channel of corresponding subchannel gain and noise power among the set of computations SU.SU sub-channels au
KiEGNR be estimated as:
Wherein, σ
KinK the user's who obtains for the base station noise power;
S803 selects modulation coding mode according to the selective rule of EGNR that estimates and setting for each subchannel.
As from the foregoing, adopt this programme advantage afterwards to be:
1, " actual gain " is to take all factors into consideration user's selection criterion of unique user channel quality (subchannel gains) and inter-user interference (channel coefficient correlation), therefore, the embodiment of the invention also can guarantee the throughput of unique user when minimum user is disturbed (being equivalent to maximized system capacity);
2, under the fewer situation of the active user with activity data, the embodiment of the invention can be automatically by the MU-MIMO mode switch to the SU-MIMO pattern, to obtain maximization user peak-data transmission rate;
3, " actual gain " also is used to the base station and determines modulation coding mode for each user or subchannel, be equivalent under the fdd mode, the method of modulating-coding is selected according to the SINR of user feedback in the base station, because actual gain and the ratio of noise are the estimation of subchannel Signal to Interference plus Noise Ratio.
The above only is a preferred implementation of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (11)
1. the user scheduling method of a TDD multi-input multi-output down emission system is characterized in that, comprising:
Gain obtains step, according to the channel gain of at least two available subchannels of active user and the actual gain that the coefficient correlation between described at least two available subchannels is obtained each described available subchannels; Described gain obtains step and specifically comprises: channel set obtains step, obtains the channel set of all available subchannels that all active users have and the channel gain of each described available subchannels; The gain calculating step is calculated the coefficient correlation between per two described available subchannels, obtains the actual gain of each described available subchannels according to described channel gain and described coefficient correlation;
First-selected service subchannel obtains step, selects an available subchannels at least as the service subchannel from described two available subchannels according to described actual gain;
Inferior choosing service subchannel obtains step, recomputates actual gain according to the coefficient correlation between residue available subchannels and the up-to-date service subchannel of selecting, and selects next service subchannel according to the described actual gain that recomputates.
2. method according to claim 1 is characterized in that, described first-selected service subchannel obtains step and specifically comprises:
The available subchannels of selecting the actual gain maximum is as the service subchannel;
Described service subchannel is removed from described channel set.
3. method according to claim 1 is characterized in that, described choosing service subchannel obtains step and specifically comprise:
Calculate in the described channel set each available subchannels with respect to the coefficient correlation of the service subchannel of up-to-date selection;
Regain the actual gain of each described available subchannels according to this coefficient correlation, the available subchannels of selecting the actual gain maximum is as the service subchannel;
Should serve subchannel removes from described channel set.
4. method according to claim 1 is characterized in that, described time choosing service subchannel obtains also to comprise after the step:
Determining step judges whether the number of service subchannel reaches predetermined quantity, is then to finish to select, and obtains step otherwise return described choosing service subchannel.
5. method according to claim 1 is characterized in that, described channel set obtains step and specifically comprises:
Single-unit activity user's channel estimating information is carried out feature decomposition obtain diagonal matrix, the number of nonzero element is the number of the available subchannels of this active user on the described diagonal matrix diagonal, and the value of the element entry on the described diagonal matrix diagonal is the channel gain of corresponding described available subchannels;
Handle all active users one by one, obtain the channel gain of described channel set and each described available subchannels.
6. method according to claim 4 is characterized in that, also comprises after the described determining step:
The noise power of utilize estimating and the actual gain of each described service subchannel correspondence estimate the Signal to Interference plus Noise Ratio of each described service subchannel, and are that described service subchannel is determined modulation coding mode according to described Signal to Interference plus Noise Ratio.
7. the user dispatching device of a TDD multi-input multi-output down emission system is characterized in that, comprising:
Channel set obtains the unit, is used for: obtain the channel set of all available subchannels that all active users have and the channel gain of each described available subchannels;
Connect the first-selection service subchannel acquisition unit that described channel set obtains the unit, be used for: calculate the coefficient correlation between per two described available subchannels, obtain the actual gain of each described available subchannels according to described channel gain and described coefficient correlation, select available subchannels as the service subchannel according to actual gain, and described service subchannel is removed from described channel set;
Time choosing service subchannel that connects described first-selected service subchannel acquisition unit obtains the unit, be used for: calculate the coefficient correlation of each available subchannels of described channel set with respect to the service subchannel of up-to-date selection, regain the actual gain of each described available subchannels according to this coefficient correlation, the available subchannels of selecting the actual gain maximum is as the service subchannel, and should serve subchannel and remove from described channel set.
8. device according to claim 7 is characterized in that, also comprises:
Connect the judging unit of described choosing service subchannel acquisition unit, be used for: whether the number of judging the service subchannel reaches predetermined quantity, is then to finish to select, and carries out the function that described inferior choosing service subchannel obtains the unit otherwise return.
9. device according to claim 7, it is characterized in that, described channel set obtains to comprise the feature decomposition unit in the unit, be used for: single-unit activity user's channel estimating information is carried out feature decomposition obtain diagonal matrix, the number of nonzero element is the number of the available subchannels of this active user on the described diagonal matrix diagonal, and the value of the element entry on the described diagonal matrix diagonal is the channel gain of corresponding described available subchannels.
10. device according to claim 8, it is characterized in that, also comprise the modulation coding mode order unit really that connects described judging unit, be used for: utilize the noise power of estimation and the actual gain of each described service subchannel correspondence, estimate the Signal to Interference plus Noise Ratio of each described service subchannel, and be that described service subchannel is determined modulation coding mode according to described Signal to Interference plus Noise Ratio.
11. device according to claim 7 is characterized in that, described first-selected service subchannel is not the available subchannels of actual gain minimum.
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| CN102104994B (en) * | 2009-12-21 | 2015-03-25 | 上海贝尔股份有限公司 | Method for transmitting data to users in MIMO (Multiple Input Multiple Output) system and base station |
| CN102413523B (en) * | 2011-12-09 | 2013-11-27 | 东南大学 | Multi-user downlink transmission mode switching method in multi-input multi-output communication system |
| CN103812603A (en) * | 2012-11-12 | 2014-05-21 | 华为技术有限公司 | SUMIMO/MUMIMO dynamic switching feedback method and device |
| FR3014269A1 (en) * | 2013-11-29 | 2015-06-05 | Orange | RADIO TRANSMITTER COORDINATION METHOD BASED ON ENCITED POWER LEVEL CODING AND CORRESPONDING TRANSMITTER |
| US9847819B2 (en) * | 2013-12-20 | 2017-12-19 | RF DSP Inc. | Adaptive precoding in a MIMO wireless communication system |
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| US7826416B2 (en) * | 2005-09-21 | 2010-11-02 | Broadcom Corporation | Method and system for a simplified user group selection scheme with finite-rate channel state information feedback for FDD multiuser MIMO downlink transmission |
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| CN1780173A (en) * | 2004-11-17 | 2006-05-31 | 中兴通讯股份有限公司 | Down link multiple-user dispath for multiple-transmission antenna and multiple-receiving antenna system |
| CN101073206A (en) * | 2004-12-07 | 2007-11-14 | 昂达博思公司 | Method and system for switching antenna and channel assignments in broadband wireless networks |
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