CN104113399B - User choosing method based on Matrix condition number in multi-user MIMO system - Google Patents
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Abstract
The present invention relates to the user choosing method based on Matrix condition number in a kind of multi-user MIMO system, comprise the following steps：Step S1：Precoding processing is carried out to original symbol based on pre-coding matrix, obtains transmission symbol；Step S2：Transmitting terminal receives the channel vector of user feedback, innovatory algorithm is selected to carry out user's selection using the semi-orthogonal user based on Matrix condition number, each iteration selectes a user index, this user index meets that channel vector F norm squareds value is maximum or Matrix condition number is minimum, obtain the best user's set of performance, radio frequency link is formed, and sends transmission symbol.Compared with prior art, the present invention has the advantages that the constant power of transmitting terminal distributes, limited dynamic range and can reduce hardware pressure, it is better than the performance of traditional algorithm, the user with more orthogonality can be picked out, so as to reduce the interference between each user.
Description
Technical field
The present invention relates to the multi-user installation dispatching technique field of wireless communication field, more particularly, to a kind of multi-user
User choosing method based on Matrix condition number in mimo system.
Background technology
Nowadays, MIMO (Multiple-Input Multiple-Output, multiple-input and multiple-output) technology is increasingly
Used in more wireless communication systems, such as：In 3GPP Long Term Evolutions (LTE), 4G even newest 5G small cell networks.
In multiuser MIMO broadcast channel, possess base station and the individual shiftings with more reception antennas of k of m roots transmitting antenna (m antennas)
Family (User1...UserK) is employed to be communicated, as shown in figure 1, after base station user selection (User Selection), signal warp
Broken zero Wave beam forming (ZFBF) or Zero-Force DPC (ZFDPC) coding, data biography is carried out by transmitting antenna and reception antenna
Defeated, user by transmitting important channel condition information (CSI) to base station by feedback channel (Feedback), includes channel again
Directional information (CDI) and channel quality information (CQI), this system can obtain multi-user diversity gain.Compared to single user
The problem of some are intrinsic be present in MIMO, multiuser MIMO.Data room is being transmitted to multiple users, due to space business's different user
Data are superimposed, and caused multi-user interference is larger to system and capacity impact.Precoding technique is that transmitting terminal exists
Before sending signal, according to the channel condition information of known user, the information of each user to be transmitted is pre-processed,
Make the receiver of each user the information of oneself can be obtained by simply handling.According to existing research, dirty paper code skill
Art (DPC) is optimal precoding mode, can obtain optimal total rate capacities in the same circumstances, and total rate capacities are
The important parameter of a multi-user MIMO system performance is weighed, it can estimate the validity of transmission.However, dirty paper code Yin Qigao
The coding and decoding operation of complexity is difficult to be used in systems in practice.
In multi-user MIMO system, precoding technique can effectively eliminate multi-user interference, but if base station is same
When the channel relevancy too conference of user that services have a strong impact on total rate capacities of system, rational user's selection can not only carry
Total rate capacities of high system, moreover it is possible to take into account the fairness of user.Therefore, it is complicated to be suggested reduction for the scheme of some suboptimums
Degree, such as broken zero Wave beam forming (ZFBF) and broken zero dirty paper code (ZDPC).Space division multiple access scheme such as ZFBF and ZFDPC can
The interference of each user's projection is avoided to obtain optimal total rate capacities by selecting suitable weight vectors.At present, base
Stand by combining user's selection algorithm and ZFBF or ZFDPC schemes to obtain optimal total rate capacities, i.e. user's selecting module
The sequence number of selected user is may decide that, and ZFBF or ZFDPC modules can select suitable weight to match user, subtract as far as possible
Interference between few user.However, the selection of weight is difficult in the case of many times, Yoo et al. have studied under ZFBF
User's selection algorithm, it is proposed that semi-orthogonal user selection algorithm (SUS), its principle is as shown in Fig. 2 it can be by simply using
Family selection algorithm obtains relatively good performance, and considers the fairness of user, and SUS is the classical user's selection algorithm of comparison,
In order to further reduce algorithm complex, reasonably carry out user's selection, the interference between user is reduced as far as possible, it is necessary to SUS
Algorithm is improved.
The content of the invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide a kind of multiuser MIMO system
User choosing method based on Matrix condition number in system, precoding is carried out to transmission data based on a new pre-coding matrix,
Semi-orthogonal user's selection algorithm is improved simultaneously, so as to improve systematic function.
The purpose of the present invention can be achieved through the following technical solutions：
The user choosing method based on Matrix condition number, comprises the following steps in a kind of multi-user MIMO system：
Step S1：If base station transmitting terminal configures m transmission antenna, user configuration single antenna is received, reception antenna is k,
Precoding processing is carried out to original symbol based on pre-coding matrix, obtains transmission symbol；
Described precoding processing concretely comprises the following steps：
101：The pre-coding matrix is made to be：
Wherein, hiidIt is independent same distribution that zero variance is 1 to be k × m matrix and obey average, RTxBe a k ×
K matrix, and each element rijRepresent the relation between antenna：I and j represents the sequence number of antenna, dijRepresent
The distance between two antennas, λ are the wavelength of subcarrier, J0() is zero Bessel function；
102：Transmission symbol is obtained based on pre-coding matrix, i.e., the signal y that user receives is：
Wherein, H is channel matrix,S is the original symbol sent, and Λ is a diagonal matrix and diagonal element
Element is white Gaussian noise for channel gain α, n；
Step S2：Transmitting terminal receives the channel vector h of user feedbackk, utilize the semi-orthogonal user based on Matrix condition number
Select innovatory algorithm to carry out user's selection, form radio frequency link, and send transmission symbol；
The described semi-orthogonal user based on Matrix condition number selects innovatory algorithm to concretely comprise the following steps：
201：IfSet, initialising subscriber selection set are selected for iterations i userK
It is users all in system, user set the S=φ, φ being selected are empty set；
202：The maximum user index π (i) of channel vector F norm squareds value is selected, i.e.,：
Wherein g (hk) it is the CQI fed back, and
203：Whether the conditional number of the channel vector for the user for judging to be selected meets condition：
Wherein, hπ(i)It is user index π (i) channel vector, n is the threshold value of defined conditional number, n ＞ 1, if met
Condition, then S ← S ∪ π (i), otherwise, it is necessary to select π (i) again, i.e.,：
204：If user's number in user's set S is p, if p ＜ m, renewal user's setI.e.：
Wherein,It is the channel direction information after quantifying, and∈ is the threshold value of semi-orthogonal user, iteration
Number updates：I=i+1, perform step 202, if p=m, i.e. the full m user of set S selections, then algorithm terminate, S for performance most
Good user's set；
The threshold value ∈ values of described semi-orthogonal user are
Compared with prior art, the present invention has advantages below：
1) present invention devises a pre-coding matrix, and new pre-coding matrix can simplify the signal of reception, realize hair
The constant power distribution of sending end, the hardware complexity of base station end transmitting antenna is reduced, that is, reduce the pressure of transmitting antenna.
2) present invention proposes an innovatory algorithm based on semi-orthogonal user selection, and modified hydrothermal process can not only utilize half
The advantages of orthogonal users select, the advantage of conditional number can also be utilized, so as to select the user for the orthogonality having had, is subtracted
Interference between few user.By simulating, verifying, total rate capacities can exceed traditional algorithm.
Brief description of the drawings
Fig. 1 is the multi-user MIMO system schematic diagram of single antenna；
Fig. 2 is the principle schematic of semi-orthogonal user's selection algorithm；
Fig. 3 is the schematic flow sheet of the present invention；
Fig. 4 is the performance comparision schematic diagram of tradition and innovatory algorithm.
Embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.
As shown in figure 1, the mimo system of a multi-user, base station transmitting terminal has m transmission antenna, and mobile reception user matches somebody with somebody
Single antenna is put, reception antenna is k.In transmitting terminal, complete channel condition information (CSI) is known in base station, includes channel direction
Information (CDI) and channel quality information (CQI), wherein, the CDI used is to quantify, and CQI includes channel phase or signal
With interference plus noise ratio (SINR), then carry out carrying out mimo system user's selection based on Matrix condition number, including following step
Suddenly：
Step S1：Precoding processing is carried out to original transmission symbol based on pre-coding matrix, obtains transmission symbol；
Precoding processing concretely comprises the following steps：
101：The pre-coding matrix is made to be：
Wherein, hiidIt is independent same distribution that zero variance is 1 to be k × m matrix and obey average, RTxBe a k ×
K matrix, and each element rijRepresent the relation between antenna：I and j represents the sequence number of antenna, dijRepresent
The distance between two antennas, λ are the wavelength of subcarrier, J0() is zero Bessel function；
102：Transmission symbol is obtained based on pre-coding matrix, i.e., the signal y that user receives is：
Wherein, H is channel matrix,S is the original symbol sent, and Λ is a diagonal matrix and diagonal element
Element is that channel gain α, α can determine that according to the channel condition of reality,nIt is white Gaussian noise.
Step S2：Transmitting terminal receives the channel vector h of user feedbackk, utilize the semi-orthogonal user based on Matrix condition number
Select innovatory algorithm to carry out user's selection, obtain the best user's set of performance, form radio frequency link, and send transmission symbol.
The principle of semi-orthogonal selection algorithm is as shown in Figure 2；
As shown in figure 3, the semi-orthogonal user based on Matrix condition number selects innovatory algorithm to concretely comprise the following steps：
201：IfSet, initialising subscriber selection set are selected for iterations i userK
It is users all in system, user set the S=φ, φ being selected are empty set；
202：The maximum user index π (i) of channel vector F norm squareds value is selected, i.e.,：
Wherein g (hk) it is the CQI fed back, and
203：Whether the conditional number of the channel vector for the user for judging to be selected meets condition：
Wherein, hπ(i)User index π (i) channel vector, n is the threshold value of defined conditional number, n ＞ 1, and it is smaller more
It is good, if meeting condition, then S ← S ∪ π (i), otherwise, it is necessary to select π (i) again, i.e.,：
204：If user's number in user's set S is p, if p ＜ m, renewal user's setI.e.：
Wherein,It is the channel direction information after quantifying, and∈ is the threshold value of semi-orthogonal user, iteration
Number updates：I=i+1, perform step 202, if p=m, i.e. the full m user of set S selections, then algorithm terminate, S for performance most
Good user's set.
Compared by emulation, it has been found that ∈ and n setting has a great impact to total rate capacities.In general, whenWhen, optimal total rate capacities can be obtained.In addition, n value sets the pass that weigh orthogonality and total rate capacities
System, when conditional number is small, the orthogonality between each user is relatively good, but the user for finding the condition of satisfaction is then more difficult,
So as to influence total rate capacities, vice versa.
As shown in figure 4, the performance of innovatory algorithm is selected to enter for 5 semi-orthogonal traditional semi-orthogonal selection algorithm and conditional number
Row compares, it can be seen that algorithm of the invention improves total rate capacities of whole system.
It is described above, only it is the preferred embodiments of the present invention, the interest field that the present invention is advocated is not limited thereto.This hair
Bright to also have other various embodiments, in the case of without departing substantially from spirit of the invention and its essence, those skilled in the art can basis
The present invention makes various corresponding changes and deformation, but these change and deformation should all belong to appended claims of the invention
Protection domain.
Claims (3)
1. the user choosing method based on Matrix condition number in a kind of multi-user MIMO system, it is characterised in that including following step
Suddenly：
Step S1：If base station transmitting terminal configures m transmission antenna, user configuration single antenna is received, reception antenna is k, is based on
Pre-coding matrix carries out precoding processing to original symbol, obtains transmission symbol；
Step S2：Transmitting terminal receives the channel vector h of user feedbackk, changed using the semi-orthogonal user selection based on Matrix condition number
Enter algorithm and carry out user's selection, select the best user's set of performance, form radio frequency link, and send transmission symbol；
The described semi-orthogonal user based on Matrix condition number selects innovatory algorithm to concretely comprise the following steps：
201：IfSet, initialising subscriber selection set are selected for iterations t userK is to be
All users in system, user set the S=φ, φ being selected are empty set；
202：The maximum user index π (t) of channel vector F norm squareds value is selected, i.e.,：
Wherein g (hk) it is the CQI fed back, and
203：Whether the conditional number of the channel vector for the user for judging to be selected meets condition：
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Wherein, hπ(t)It is user index π (t) channel vector, n is the threshold value of defined conditional number, n ＞ 1, if meeting condition,
So S ← S ∪ π (t), otherwise, it is necessary to select π (t) again, i.e.,：
204：If user's number in user's set S is p, if p<M, then update user's setI.e.：
Wherein,It is quantization
Channel direction information afterwards, and∈ is the threshold value of semi-orthogonal user, and iterations updates：T=t+1, perform step
202, if p=m, i.e. set S selects full m user, then algorithm terminates, and S is the best user's set of performance.
2. the user choosing method based on Matrix condition number in a kind of multi-user MIMO system according to claim 1, its
It is characterised by, described precoding processing concretely comprises the following steps：
101：The pre-coding matrix is made to be：
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Wherein, hiidIt is the independent same distribution that zero variance is 1 to be k × m matrix and obey average, is randomly generated, RTxIt is one
Individual k × k matrix, and each element rijRepresent the relation between antenna：I and j represents the sequence number of antenna, dij
Represent the distance between two antennas, λ is the wavelength of subcarrier, J0() is zero Bessel function；
102：Transmission symbol is obtained based on pre-coding matrix, i.e., the signal y that user receives is：
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Wherein, H is channel matrix,S is the original symbol sent, and Λ is a diagonal matrix and diagonal element is letter
Road gain alpha, n are white Gaussian noises.
3. the user choosing method based on Matrix condition number in a kind of multi-user MIMO system according to claim 1, its
It is characterised by, the threshold value ∈ values of described semi-orthogonal user are
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| CN104868943B (en) * | 2015-04-23 | 2019-02-05 | 山东大学 | Multiuser MIMO user choosing method based on conditional number |
| CN109787666B (en) * | 2017-11-10 | 2021-04-20 | 中兴通讯股份有限公司 | Frequency domain scheduling method, device and equipment |
| CN108540186B (en) * | 2018-03-06 | 2021-12-14 | 深圳大学 | Large-scale MIMO two-layer user-oriented antenna selection method |
| CN110380767B (en) * | 2018-04-13 | 2022-03-25 | 华为技术有限公司 | Method and device for determining precoding matrix |
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