CN104184507A - Calculating apparatus and method of beam forming vector, and transmitter - Google Patents

Abstract

The embodiment of the invention provides a calculating apparatus and method of a beam forming vector, and a transmitter. The calculating apparatus comprises: an information collection and identification unit, which is used for collecting information of effective information rates of a plurality of user devices scheduled under the same time-frequency resources and identifying a main user device based on the information of the effective information rates; and a vector calculation unit, which is used for calculating a beam forming vector for the main user device and calculating beam forming vectors for other user devices at the null space of the channel corresponding to the main user device. According to the embodiment of the invention, when beam forming vector calculation is carried out, imbalance of different user code rates is taken into consideration and the dimensionality of the null space is expanded, thereby improving the throughput capacity of the system.

Description

Calculation element, method and the transmitter of beamforming vectors

Technical field

The present invention relates to space division multiplexing technology, relate in particular to calculation element, method and the transmitter of beam forming (Beamforming) vector under a kind of multi-user's Multiinputoutput (MU-MIMO) system.

Background technology

In mobile communication, multi-user's Multiinputoutput (MU-MIMO, Multiple User Multiple Input Multiple Output) technology utilizes the orthogonality of spatial domain to reduce the interference between user, has improved the capacity of system.Its use can further improve power system capacity in heterogeneous network.

On the other hand, can adopt adaptive array antenna implementation space to cut apart, upwards form different wave beams different user sides.By space cut apart to distinguish different users, can be called space division multiple access (SDMA, Spatial Division Multiple Access) technology.SDMA technology goes for Long Term Evolution (LTE, Long Term Evolution) system and worldwide interoperability for microwave access (WiMax, Worldwide Interoperability for Microwave Access) system.

In LTE system, a base station can communicate with multiple users that share same frequency domain bandwidth simultaneously, and therefore, the interference between multiple users just becomes the key factor that affects throughput of system.In prior art, conventionally adopt the methods such as piece diagonal angle (BD, Block-Diagonal) method or leakage signal noise ratio method (SLNR, Signal-Leakage-Noise-Ratio) to eliminate the interference between multi-user at transmitting pusher side.

But, inventor finds that the defect of prior art is: prior art is not considered different user effective information speed (for example code check, coderate) unbalanced, therefore, user's CU identical communication resource high with code check that code check is low, has affected the throughput of system for valid data; And, for traditional BD method, send to any user's signal all need to send at the kernel of every other subscriber channel, thereby reduced the efficiency of system.

Should be noted that above the introduction of technical background is just carried out to clear, complete explanation for convenient to technical scheme of the present invention, and facilitate those skilled in the art's understanding to set forth.Can not only carry out setting forth and thinking that technique scheme is conventionally known to one of skill in the art in background technology part of the present invention because of these schemes.

Summary of the invention

The embodiment of the present invention provides calculation element, method and the transmitter of the beamforming vectors under a kind of MU-MIMO system, object is: in the time that compute beam is shaped vector, between consideration different user devices, code check is unbalanced, and the dimension of expansion kernel, thereby the throughput of raising system.

According to the embodiment of the present invention aspect, a kind of calculation element of beamforming vectors is provided, this calculation element comprises:

Information and recognition unit, collect the information of the effective information speed of multiple subscriber equipmenies of same running time-frequency resource dispatching, and identify primary user's equipment according to the information of described effective information speed;

Vector calculation unit, is described primary user's equipment compute beam shaping vector, and is other subscriber devices compute beamforming vectors at the kernel of channel corresponding to described primary user's equipment.

According to the another aspect of the embodiment of the present invention, a kind of computational methods of beamforming vectors are provided, described computational methods comprise:

Collect the information of the effective information speed of multiple subscriber equipmenies of same running time-frequency resource dispatching, and according to the information identification primary user equipment of described effective information speed;

For described primary user's equipment compute beam shaping vector, and be other subscriber devices compute beamforming vectors at the kernel of channel corresponding to described primary user's equipment.

According to the embodiment of the present invention on the other hand, provide a kind of transmitter, comprise the calculation element of the beamforming vectors that the embodiment of the present invention provides, and described transmitter also comprise:

Scheduling unit, dispatches multiple subscriber equipmenies, and sends the information of the effective information speed of described multiple subscriber equipmenies to described calculation element;

Uplink channel estimation unit, carries out the estimation of up channel, and for described calculation element provides channel estimating information, makes the vector calculation unit compute beam of described calculation element be shaped vectorial;

Symbol generation unit, generates symbolic information;

Beam shaping elements, the symbol that the beamforming vectors calculating according to described calculation element and described symbol generation unit generate carries out beam forming processing;

Transmitting element, sends and has carried out beam forming signal after treatment.

Beneficial effect of the present invention is: in the time that compute beam is shaped vector, distinguish primary user's equipment according to effective information speed; can consider the lack of uniformity of effective information speed between different user devices; the higher subscriber equipment of protection effective information speed, thereby the throughput of raising system.And, by being other subscriber devices compute beamforming vectors at the kernel of channel corresponding to primary user's equipment, can expand the dimension of kernel.

With reference to explanation and accompanying drawing hereinafter, specific implementations of the present invention is disclosed in detail, having indicated principle of the present invention can adopted mode.Should be appreciated that, embodiments of the present invention in scope not thereby be restricted.In the spirit of claims and the scope of clause, embodiments of the present invention comprise many changes, revise and are equal to.

Describe and/or the feature that illustrates can be used in same or similar mode in one or more other execution mode for a kind of execution mode, combined with the feature in other execution mode, or substitute the feature in other execution mode.

Should emphasize, term " comprises/comprises " existence that refers to feature, whole, step or assembly while use herein, but does not get rid of the existence of one or more further feature, whole, step or assembly or additional.

Brief description of the drawings

Fig. 1 is a formation schematic diagram of the calculation element of the beamforming vectors of the embodiment of the present invention;

Fig. 2 is another formation schematic diagram of the beamforming vectors calculation element of the embodiment of the present invention;

Fig. 3 is a formation schematic diagram of the vector calculation unit of the embodiment of the present invention;

Fig. 4 is an analogue simulation curve synoptic diagram of the throughput of system of the embodiment of the present invention;

Fig. 5 is a formation schematic diagram of the transmitter of the embodiment of the present invention;

Fig. 6 is a schematic flow sheet of the beamforming vectors computational methods of the embodiment of the present invention;

Fig. 7 is another schematic flow sheet of the beamforming vectors computational methods of the embodiment of the present invention;

Fig. 8 is another schematic flow sheet of the beamforming vectors computational methods of the embodiment of the present invention.

Embodiment

With reference to accompanying drawing, by specification below, aforementioned and further feature of the present invention will become obvious.In specification and accompanying drawing, specifically disclose specific implementations of the present invention, it has shown wherein can adopt the part execution mode of principle of the present invention, will be appreciated that, the invention is not restricted to described execution mode, on the contrary, the present invention includes whole amendments, modification and the equivalent in the scope that falls into claims.

Below taking TD-LTE(Time Division Long Term Evolution) system is as example, and the present invention is described in detail.But it should be noted that, the present invention is not limited to TD-LTE system, can also be applicable to other wireless communication system, there is different effective information speed (for example code check), i.e. applicable the present invention as long as share multiple subscriber equipmenies of same frequency domain bandwidth in communication system simultaneously.

The MU-MIMO transmission pattern that comprise K subscriber equipment of embodiments of the invention based on following:

$\left[\begin{array}{c}{x}_1\\ \·\\ \·\\ \·\\ x_K\end{array}\right]=\left[\begin{array}{c}{H}_1\\ \·\\ \·\\ \·\\ H_K\end{array}\right]\left[\begin{array}{ccc}{P}_1& \·\·\·& P_K\end{array}\right]\left[\begin{array}{c}{d}_1\\ \·\\ \·\\ \·\\ d_K\end{array}\right]+\left[\begin{array}{c}{n}_1\\ \·\\ \·\\ \·\\ n_K\end{array}\right]$

Wherein, x _jrepresent the signal phasor that j receiver receives, j is positive integer and 1≤j≤K; H _j, P _j, d _j, n _jrepresent respectively the additional noise of mimo channel, beamforming vectors, primary signal vector, a j receiver.

Embodiment 1

The embodiment of the present invention provides a kind of calculation element of beamforming vectors, and Fig. 1 is a formation schematic diagram of the calculation element of the beamforming vectors of the embodiment of the present invention.As shown in Figure 1, the calculation element 100 of this beamforming vectors comprises: information and recognition unit 101, vector calculation unit 102.

Wherein, information and recognition unit 101 be for collecting the information of effective information speed of multiple subscriber equipmenies of same time and same frequency downconverts degree, and according to the information identification primary user equipment of this effective information speed; It is vectorial that vector calculation unit 102 is used to primary user's equipment compute beam to be shaped, and be other subscriber devices compute beamforming vectors at the kernel of channel corresponding to primary user's equipment.

In the present embodiment, the information of effective information speed can be for example code rate information and/or modulation intelligence; In TD-LTE system, effective information speed concrete example is as being Modulation and Coding Scheme (MCS, Modulation Coding Selection).But the invention is not restricted to this, for example, the information of effective information speed can also be channel quality instruction (CQI, Channel Quality Indicator) etc.Can determine concrete effective information speed according to actual conditions.

In a concrete execution mode, information and recognition unit 101 can sort to the MCS of collected multiple subscriber equipmenies, and the subscriber equipment that has maximum MCS is identified as to primary user's equipment.But, the invention is not restricted to this, in other execution mode, for example, the subscriber equipment that has the 2nd large value MCS can be identified as to primary user's equipment, or the subscriber equipment that has specific MCS is identified as to primary user's equipment.

In the present embodiment, after information and recognition unit 101 identify primary user's equipment, vector calculation unit 102 can be to this primary user's equipment compute beam vector that is shaped.As for specifically how compute beam shaping is vectorial, can be with reference to prior art.

In the present embodiment, vector calculation unit 102 can also be obtained the kernel (null space) of the channel that primary user's equipment is corresponding.For example, can in multiple vectors, search for the kernel that this primary user's equipment is corresponding; Can also adopt the method for channel decomposing to obtain the kernel of the channel that primary user's equipment is corresponding, for example singular value decomposition (SVD, Singular Value Decomposition) or QR decomposition etc.

And vector calculation unit 102 can be other subscriber devices compute beamforming vectors at the kernel of channel corresponding to primary user's equipment.Thus, can greatly reduce the interference of other subscriber equipmenies to this primary user's equipment, protection has primary user's equipment of larger effective information speed, therefore can improve the throughput of whole system.

In addition, in the present embodiment, for primary user's equipment, the transmission of signal is not subject to the restriction of kernel; For non-primary family equipment, only need to carry out signal at the kernel of the channel of primary user's equipment sends, and the dimension of the kernel of the channel of primary user's equipment is greater than the dimension of the kernel of the channel that all other subscriber equipmenies are corresponding, so, with respect to traditional BD method, the calculation element of the beamforming vectors that the present embodiment provides can make the dimension of the kernel of subscriber equipment be expanded.

From above-described embodiment; in the time that being shaped vector, compute beam distinguishes primary user's equipment according to effective information speed; can consider the lack of uniformity of effective information speed between different user devices, the higher subscriber equipment of protection effective information speed, thereby the throughput of raising system.And, by being other subscriber devices compute beamforming vectors at the kernel of channel corresponding to primary user's equipment, can expand the dimension of kernel.

Embodiment 2

The embodiment of the present invention provides a kind of calculation element of beamforming vectors, on the basis of embodiment 1, the present invention is further detailed.Wherein the content identical with embodiment 1 repeats no more.

Fig. 2 is another formation schematic diagram of the calculation element of the beamforming vectors of the embodiment of the present invention.As shown in Figure 2, the calculation element 200 of this beamforming vectors comprises: information and recognition unit 101 and vector calculation unit 102, as described in Example 1.

As shown in Figure 2, the calculation element 200 of this beamforming vectors can also comprise metric computing unit 103 and metric judging unit 104.Wherein, the information computing metric of the effective information speed of metric computing unit 103 based on multiple subscriber equipmenies; Metric judging unit 104 is for judging whether this metric is greater than default threshold value.

And, in the time that metric judging unit 104 is judged this metric and is greater than default threshold value, vector calculation unit 102 is primary user's equipment compute beam shaping vector, and is other subscriber devices compute beamforming vectors at the kernel of channel corresponding to primary user's equipment.

Be example taking effective information speed as MCS below, the present invention is described in detail.But the invention is not restricted to this, can also adopt the information of other sign effective information speed.

In the present embodiment, the MCS of primary user's equipment can be expressed as to MCS _max, metric computing unit 103 can, to the MCS averaged of other subscriber equipmenies outside primary user's equipment, obtain MCS _avg, calculate MCS _maxwith MCS _avgpoor, as metric metric, that is, metric=MCS _max-MCS _avg.

And metric judging unit 104 can compare metric and default threshold value.This default threshold value can obtain based on empirical value, can determine according to actual conditions.

In the time that metric is less than threshold value, the MCS gap of primary user's equipment and other subscriber equipmenies is less, and therefore, the inequality extent of different user devices effective information speed (for example code check) is also not obvious.For each subscriber equipment, can adopt method compute beam of the prior art to be shaped vectorial.In the specific implementation, can also there is the 3rd computing unit (not shown), in the time that metric is less than threshold value, adopt beamforming vectors computational methods of the prior art to calculate the beamforming vectors of each subscriber equipment.Specifically how to calculate and can, with reference to prior art, repeat no more herein.

In the time that metric is more than or equal to threshold value; the effective information speed of primary user's equipment is greater than certain limit compared with other subscriber equipmenies; this inequality extent that shows different user devices effective information speed (for example code check) is obvious, and the data transmission capabilities of primary user's equipment is compared with needing protection greatly.Vector calculation unit 102 can be primary user's equipment compute beam shaping vector, and is other subscriber devices compute beamforming vectors at the kernel of channel corresponding to primary user's equipment.Thus, come, for primary user's equipment and other subscriber equipmenies compute beam shaping vector respectively, can reduce the interference of other subscriber equipmenies to primary user's equipment by vector calculation unit 102.

Schematically illustrate for formation of the calculation element of beamforming vectors of the present invention etc. above.Below only taking SVD decompose and MCS as example, to how calculating kernel and how compute beam shaping vector schematically illustrates.

Fig. 3 is that of vector calculation unit in the calculation element of beamforming vectors of the embodiment of the present invention forms schematic diagram, shows an execution mode of vector calculation unit 102.

As shown in Figure 3, vector calculation unit 102 can comprise: resolving cell 1021, the first computing unit 1022 and the second computing unit 1023.Wherein, resolving cell 1021, for the mimo channel of primary user's equipment is decomposed, obtains kernel; It is vectorial that the first computing unit 1022 is used to primary user's equipment compute beam to be shaped; The second computing unit 1023 is for being other subscriber devices compute beamforming vectors according to kernel.

In the specific implementation, resolving cell 1021 can adopt several different methods to obtain the kernel of primary user's equipment mimo channel, and for example SVD decomposes or QR decomposes.Taking SVD decomposition method as example, the mimo channel H of primary user's equipment _maxcan be decomposed by following formula:

$H_{\max }=U_{\max }{\mathrm{\Σ}}_{\max }{\left[\begin{array}{cc}{V}_{\max }^{\left(1\right)}& V_{\max }^{\left(0\right)}\end{array}\right]}^H$

Wherein, H _maxfor the channel information matrix of this primary user's equipment, U _maxfor left singular matrix, Σ _maxfor singular value matrix, for the kernel vector of this primary user's equipment, for the non-zero space vector of this primary user's equipment.But the invention is not restricted to SLNR criterion, for example, can also be MMSE criterion.

In the specific implementation, the first computing unit 1022 for example can adopt following formula to calculate the beamforming vectors P of primary user's equipment _max:

If H ^hh is full rank (full rank), adopts following formula to calculate P _max

$\underset{P_{\max }}{\max }\left\{\frac{\mathrm{tr}\left(P_{\max }^H{H}_{\max }^H{H}_{\max }{P}_{\max }\right)}{\mathrm{tr}\left[P_{\max }^H{H}^H{\mathrm{HP}}_{\max }\right]}\right\},$

Wherein, P _maxit is matrix pair the generalized eigenvector generating;

And, $H=\left[\begin{array}{c}{H}_1\\ \·\\ \·\\ \·\\ H_K\end{array}\right],$ Tr representing matrix diagonal element and, the number that k is multiple subscriber equipmenies, H represents the channel information matrix of subscriber equipment, H _maxrepresent the channel of this primary user's equipment.

In the specific implementation, the second computing unit 1023 for example can adopt following formula to calculate the beamforming vectors P of other subscriber equipmenies _j:

$P_j=V_{\max }^{\left(0\right)}{M}_j$

Wherein, if for full rank, adopt following formula to calculate M _j,

${\max }_{M_j}\left\{\frac{\mathrm{tr}\left(M_j^H{\tilde{H}}_j^H{\tilde{H}}_j{M}_j\right)}{\mathrm{tr}\left[M_j^H{\tilde{H}}^H\tilde{H}{M}_j\right]}\right\},$

Wherein, M _jit is matrix pair the generalized eigenvector generating;

And, $\tilde{H}=\left[\begin{array}{c}{\tilde{H}}_1\\ \·\\ \·\\ \·\\ {\tilde{H}}_K\end{array}\right],$ k is the number of multiple subscriber equipmenies, and H represents the channel information matrix of subscriber equipment, for the kernel vector of primary user's equipment.

Thus, vector calculation unit 102 can calculate respectively the beamforming vectors of primary user's equipment, and the beamforming vectors of other subscriber equipmenies.But it should be noted that above formula and execution mode just schematically illustrate of the present invention, but the present invention is not limited to above formula or execution mode, can also adopts according to actual conditions other formula or criterion.

Fig. 4 is a comparison schematic diagram of the throughput of system of the embodiment of the present invention, shows the comparative result (the analogue simulation curve of the throughput of system) of the throughput of system after method, SLNR method, BD method and the MMSE-ES method that adopts the embodiment of the present invention.The condition of analogue simulation is as shown in table 1 below:

Table 1

In Fig. 4, transverse axis represents signal to noise ratio snr (dB), and the longitudinal axis represents throughput of system (bit/s/Hz).As can be seen from Figure 4, such as, compared with prior art (SLNR, BD, MMSE-ES method etc.), the beamforming vectors calculation element that the embodiment of the present invention provides can improve data throughout effectively.

From above-described embodiment; in the time that being shaped vector, compute beam distinguishes primary user's equipment according to effective information speed; can consider the lack of uniformity of effective information speed between different user devices, the higher subscriber equipment of protection effective information speed, thereby the throughput of raising system.And, by being other subscriber devices compute beamforming vectors at the kernel of channel corresponding to primary user's equipment, can expand the dimension of kernel.

Embodiment 3

The embodiment of the present invention provides a kind of transmitter, comprises the calculation element of the beamforming vectors as described in embodiment 1 or 2; Wherein the content identical with embodiment 1 or 2 repeats no more.

Fig. 5 is that of the transmitter that comprises the embodiment of the present invention forms schematic diagram.As shown in Figure 5, the transmitter 500 of the present embodiment comprises: the calculation element 501 of beamforming vectors, scheduling unit 502, uplink channel estimation unit 503, symbol generation unit 504, beam shaping elements 505 and transmitting element 506.

Wherein, the calculation element 501 of beamforming vectors can be calculation element 100 in embodiment 1, also can be the calculation element 200 in embodiment 2; In accompanying drawing 5, only describe as an example of calculation element 200 example.Scheduling unit 502 is used for dispatching multiple subscriber equipmenies, and sends the information of the effective information speed of each subscriber equipment to the calculation element 501 of beamforming vectors.Uplink channel estimation unit 503 carries out the estimation of up channel, and for the calculation element 501 of beamforming vectors provides channel estimating information, makes vector calculation unit 102 compute beam of the calculation element 501 of beamforming vectors be shaped vectorial.Symbol generation unit 504 is used for generating symbolic information; The beamforming vectors that beam shaping elements 505 calculates according to the calculation element 501 of beamforming vectors, and the symbol that symbol generation unit 504 generates carries out beam forming processing; Transmitting element 506 has carried out beam forming signal after treatment for sending.

It should be noted that the part composition that only shows transmitter 500 in Fig. 5, other parts that do not illustrate can, with reference to prior art, repeat no more herein.

In the present embodiment, transmitter 500, owing to having used calculation element 501, can be identified primary user's equipment according to effective information speed, can protect the communication of primary user's equipment with higher effective information speed.And, transmitter 500 can and carry out beam forming processing for primary user's equipment compute beam shaping vector, and be other subscriber devices compute beamforming vectors and carry out beam forming processing at the kernel of channel corresponding to primary user's equipment, the interference between subscriber equipment can be reduced, and the dimension of kernel can be expanded.

Embodiment 4

The embodiment of the present invention provides a kind of computational methods of beamforming vectors, the calculation element of the beamforming vectors described in corresponding embodiment 1; Wherein the content identical with embodiment 1 repeats no more.

Fig. 6 is a schematic flow sheet of the computational methods of the beamforming vectors of the embodiment of the present invention.As shown in Figure 6, the computational methods of this beamforming vectors comprise:

Step 601, collects the information of the effective information speed of multiple subscriber equipmenies of same running time-frequency resource dispatching, and identifies primary user's equipment according to the information of effective information speed;

Step 602, is primary user's equipment compute beam shaping vector, and is other subscriber devices compute beamforming vectors at the kernel of channel corresponding to primary user's equipment.

In the present embodiment, the specific implementation of step 601 and step 602, can reference example 1 in the description of implementation to information and recognition unit 101 and vector calculation unit 102.

In the present embodiment; in the time that being shaped vector, compute beam distinguishes primary user's equipment according to effective information speed; can consider the lack of uniformity of effective information speed between different user devices, the higher subscriber equipment of protection effective information speed, thereby the throughput of raising system.And, by being other subscriber devices compute beamforming vectors at the kernel of channel corresponding to primary user's equipment, can expand the dimension of kernel.

Embodiment 5

The embodiment of the present invention provides a kind of computational methods of beamforming vectors, the calculation element of the beamforming vectors described in corresponding embodiment 2; Wherein the content identical with embodiment 2 repeats no more.

Fig. 7 is another schematic flow sheet of the computational methods of the beamforming vectors of the embodiment of the present invention.As shown in Figure 7, comprising of the computational methods of this beamforming vectors:

Step 701, collects the information of the effective information speed of multiple subscriber equipmenies of same running time-frequency resource dispatching, and identifies primary user's equipment according to the information of effective information speed;

Step 702, the information computing metric of the effective information speed based on multiple subscriber equipmenies;

Step 703, judges whether this metric is more than or equal to default threshold value;

Step 704, in the time that metric is more than or equal to default threshold value, is primary user's equipment compute beam shaping vector, and is other subscriber devices compute beamforming vectors at the kernel of channel corresponding to primary user's equipment.

In the present embodiment, can be primary user's equipment compute beam shaping vector.And, can obtain the kernel of the channel that primary user's equipment is corresponding, can reference example 2 as for how obtaining kernel.Then be, other subscriber devices compute beamforming vectors at the kernel of channel corresponding to primary user's equipment.

Fig. 8 is another schematic flow sheet of the computational methods of the beamforming vectors of the embodiment of the present invention.As shown in Figure 8, comprising of the computational methods of this beamforming vectors:

Step 801, collects the information of the effective information speed of multiple subscriber equipmenies of same running time-frequency resource dispatching.

Step 802, according to the information identification primary user equipment of effective information speed.

Step 803, the information computing metric of the effective information speed based on multiple subscriber equipmenies.

Step 804, judges whether this metric is more than or equal to default threshold value; If be more than or equal to threshold value, perform step 805, if be less than threshold value, perform step 808.

Step 805, decomposes the mimo channel of primary user's equipment, obtains corresponding kernel.

Step 806, for primary user's equipment compute beam is shaped vectorial.

Step 807 is other subscriber devices compute beamforming vectors according to the kernel of the channel of primary user's equipment.

Step 808, to all subscriber devices compute beamforming vectors.In the time that metric is less than default threshold value, adopt method compute beam of the prior art to be shaped for each subscriber equipment vectorial.

In the present embodiment, by metric calculation procedure and metric determining step, can, judging that metric is when being more than or equal to predetermined threshold, be judged as the effective information speed difference of primary user's equipment and other subscriber equipmenies apart from larger, the inequality extent of different user code check is obvious; Therefore be, other subscriber devices compute beamforming vectors at the kernel of channel corresponding to primary user's equipment.And in the time that metric is less than threshold value, being judged as the effective information speed difference of primary user's equipment and other subscriber equipmenies apart from less, the inequality extent of different user encoding rate is also not obvious; Therefore, select the method for prior art to calculate the beamforming vectors of each subscriber equipment.

From the present embodiment; in the time that being shaped vector, compute beam distinguishes primary user's equipment according to effective information speed; can consider the lack of uniformity of effective information speed between different user devices, the higher subscriber equipment of protection effective information speed, thereby the throughput of raising system.And, by being other subscriber devices compute beamforming vectors at the kernel of channel corresponding to primary user's equipment, can expand the dimension of kernel.

Apparatus and method more than the present invention can be realized by hardware, also can be realized by combination of hardware software.The present invention relates to such computer-readable program, in the time that this program is performed by logical block, can make this logical block realize device mentioned above or component parts, or make this logical block realize the whole bag of tricks mentioned above or step.The invention still further relates to the storage medium for storing above program, as hard disk, disk, CD, DVD, flash memory etc.

In conjunction with concrete execution mode, invention has been described above, but it will be apparent to those skilled in the art that these descriptions are all exemplary, is not limiting the scope of the invention.Those skilled in the art can make various variants and modifications to the present invention according to spirit of the present invention and principle, and these variants and modifications also within the scope of the invention.

About the execution mode that comprises above embodiment, following remarks is also disclosed:

The calculation element of (remarks 1) a kind of beamforming vectors, comprising:

Information and recognition unit, collect the information of the effective information speed of multiple subscriber equipmenies of same running time-frequency resource dispatching, and identify primary user's equipment according to the information of described effective information speed;

Vector calculation unit, is described primary user's equipment compute beam shaping vector, and is other subscriber devices compute beamforming vectors at the kernel of channel corresponding to described primary user's equipment.

(remarks 2), according to the calculation element of the beamforming vectors described in remarks 1, wherein, the information of described effective information speed comprises: code rate information and/or modulation intelligence.

(remarks 3), according to the calculation element of the beamforming vectors described in remarks 1, wherein, described calculation element also comprises:

Metric computing unit, the information computing metric of its effective information speed based on described multiple subscriber equipmenies;

Metric judging unit, judges whether described metric is more than or equal to default threshold value;

And, in the time that described metric is more than or equal to default threshold value, described vector calculation unit is described primary user's equipment compute beam shaping vector, and is described other subscriber devices compute beamforming vectors at the kernel of channel corresponding to described primary user's equipment.

(remarks 4) is according to the calculation element of the beamforming vectors described in remarks 3, wherein, described metric computing unit calculates the Modulation and Coding Scheme of described primary user's equipment under LTE system, and the average modulation encoding scheme of described other subscriber equipmenies, and using the difference of the Modulation and Coding Scheme of described primary user's equipment and described average modulation encoding scheme as described metric.

(remarks 5), according to the calculation element of the beamforming vectors described in remarks 1, wherein, the subscriber equipment with maximum effective information speed is identified as described primary user's equipment by described information and recognition unit.

(remarks 6), according to the calculation element of the beamforming vectors described in remarks 1, wherein, described vector calculation unit comprises:

Resolving cell, its mimo channel to described primary user's equipment decomposes, and obtains described kernel.

The first computing unit, it is described primary user's equipment compute beam shaping vector;

The second computing unit, it is described other subscriber devices compute beamforming vectors according to described kernel.

(remarks 7), according to the calculation element of the beamforming vectors described in remarks 6, wherein, described resolving cell adopts following formula to decompose,

$H_{\max }=U_{\max }{\mathrm{\Σ}}_{\max }{\left[\begin{array}{cc}{V}_{\max }^{\left(1\right)}& V_{\max }^{\left(0\right)}\end{array}\right]}^H$

Wherein, H _maxfor the channel information matrix of described primary user's equipment, U _maxfor left singular matrix, Σ _maxfor singular value matrix, for the kernel vector of described primary user's equipment, for the non-zero space vector of described primary user's equipment.

(remarks 8), according to the beamforming vectors calculation element described in remarks 6, wherein, described the first computing unit adopts following formula to calculate the beamforming vectors of described primary user's equipment:

If H ^hh is full rank, adopts following formula to calculate the beamforming vectors P of described primary user's equipment _max,

${\max }_{P_{\max }}\left\{\frac{\mathrm{tr}\left(P_{\max }^H{H}_{\max }^H{H}_{\max }{P}_{\max }\right)}{\mathrm{tr}\left[P_{\max }^H{H}^H{\mathrm{HP}}_{\max }\right]}\right\},$

P _maxit is matrix pair the generalized eigenvector generating;

Wherein, $H=\left[\begin{array}{c}{H}_1\\ \·\\ \·\\ \·\\ H_K\end{array}\right],$ Tr representing matrix diagonal element and, the number that k is described multiple subscriber equipmenies, H represents the channel information matrix of subscriber equipment, H _maxrepresent the channel of described primary user's equipment.

(remarks 9), according to the beamforming vectors calculation element described in remarks 6, wherein, described the second computing unit adopts the beamforming vectors of described other subscriber equipmenies of following formula calculating,

$P_j=V_{\max }^{\left(0\right)}{M}_j$

Wherein, if for full rank, adopt following formula to calculate this M _j,

${\max }_{M_j}\left\{\frac{\mathrm{tr}\left(M_j^H{\tilde{H}}_j^H{\tilde{H}}_j{M}_j\right)}{\mathrm{tr}\left[M_j^H{\tilde{H}}^H\tilde{H}{M}_j\right]}\right\},$

M _jit is matrix pair the generalized eigenvector generating;

Wherein, $\tilde{H}=\left[\begin{array}{c}{\tilde{H}}_1\\ \·\\ \·\\ \·\\ {\tilde{H}}_K\end{array}\right],$ k is the number of described multiple subscriber equipmenies, and H represents the channel information matrix of subscriber equipment, for the kernel vector of described primary user's equipment, Tr representing matrix diagonal element and.

(remarks 10) a kind of transmitter, comprise the calculation element of the beamforming vectors as described in remarks 1-9 any one, and described transmitter also comprises:

Scheduling unit, dispatches multiple subscriber equipmenies, and sends the information of the effective information speed of described multiple subscriber equipmenies to described calculation element;

Uplink channel estimation unit, carries out the estimation of up channel, and for described calculation element provides channel estimating information, makes the vector calculation unit compute beam of described calculation element be shaped vectorial;

Symbol generation unit, generates symbolic information;

Beam shaping elements, the symbol that the beamforming vectors calculating according to described calculation element and described symbol generation unit generate carries out beam forming processing;

Transmitting element, sends and has carried out beam forming signal after treatment.

The computational methods of (remarks 11) a kind of beamforming vectors, described computational methods comprise:

Collect the information of the effective information speed of multiple subscriber equipmenies of same running time-frequency resource dispatching, and according to the information identification primary user equipment of described effective information speed;

For described primary user's equipment compute beam shaping vector, and be other subscriber devices compute beamforming vectors at the kernel of channel corresponding to described primary user's equipment.

(remarks 12), according to the computational methods described in remarks 11, wherein, the information of described effective information speed comprises: code rate information and/or modulation intelligence.

(remarks 13), according to the computational methods described in remarks 11, wherein, described computational methods also comprise:

The information computing metric of the effective information speed based on described multiple subscriber equipmenies;

Judge whether described metric is more than or equal to default threshold value;

And, in the time that described metric is more than or equal to default threshold value, is described primary user's equipment compute beam shaping vector, and is described other subscriber devices compute beamforming vectors at the kernel of channel corresponding to described primary user's equipment.

(remarks 14), according to the computational methods described in remarks 13, wherein, the information computing metric of the effective information speed based on described multiple subscriber equipmenies, comprising:

Calculate the Modulation and Coding Scheme of described primary user's equipment under LTE system, and the average modulation encoding scheme of described other subscriber equipmenies, and using the difference of the Modulation and Coding Scheme of described primary user's equipment and described average modulation encoding scheme as described metric.

(remarks 15), according to the computational methods described in remarks 11, wherein, collects the information of the effective information speed of multiple subscriber equipmenies of same running time-frequency resource dispatching, and according to the information identification primary user equipment of described effective information speed, comprising:

The subscriber equipment with maximum effective information speed is identified as to described primary user's equipment.

(remarks 16) according to the computational methods described in remarks 11, wherein, is described primary user's equipment compute beam shaping vector, and is other subscriber devices compute beamforming vectors at the kernel of channel corresponding to described primary user's equipment, comprising:

Mimo channel to described primary user's equipment decomposes, and obtains described kernel;

For described primary user's equipment compute beam is shaped vectorial;

Be described other subscriber devices compute beamforming vectors according to described kernel.

(remarks 17), according to the computational methods described in remarks 16, wherein, decomposes the mimo channel of described primary user's equipment, obtains described kernel, comprising:

Adopt following formula to decompose:

$H_{\max }=U_{\max }{\mathrm{\Σ}}_{\max }{\left[\begin{array}{cc}{V}_{\max }^{\left(1\right)}& V_{\max }^{\left(0\right)}\end{array}\right]}^H$

Wherein, H _maxfor the channel information matrix of described primary user's equipment, U _maxfor left singular matrix, Σ _maxfor singular value matrix, for the kernel vector of described primary user's equipment, for the non-zero space vector of described primary user's equipment.

(remarks 18), according to the computational methods described in remarks 16, wherein, is described primary user's equipment compute beam shaping vector, comprising:

Adopt following formula to calculate the beamforming vectors of described primary user's equipment:

If H ^hh is full rank, adopts following formula to calculate the beamforming vectors P of described primary user's equipment _max,

${\max }_{P_{\max }}\left\{\frac{\mathrm{tr}\left(P_{\max }^H{H}_{\max }^H{H}_{\max }{P}_{\max }\right)}{\mathrm{tr}\left[P_{\max }^H{H}^H{\mathrm{HP}}_{\max }\right]}\right\},$

P _maxit is matrix pair the generalized eigenvector generating;

Wherein, $H=\left[\begin{array}{c}{H}_1\\ \·\\ \·\\ \·\\ H_K\end{array}\right],$ Tr representing matrix diagonal element and, the number that k is described multiple subscriber equipmenies, H represents the channel information matrix of subscriber equipment, H _maxrepresent the channel of described primary user's equipment.

(remarks 19), according to the computational methods described in remarks 16, wherein, is described other subscriber devices compute beamforming vectors according to described kernel, comprising:

Adopt following formula to calculate the beamforming vectors of described other subscriber equipmenies:

$P_j=V_{\max }^{\left(0\right)}{M}_j$

Wherein, if for full rank, adopt following formula to calculate this M _j,

${\max }_{M_j}\left\{\frac{\mathrm{tr}\left(M_j^H{\tilde{H}}_j^H{\tilde{H}}_j{M}_j\right)}{\mathrm{tr}\left[M_j^H{\tilde{H}}^H\tilde{H}{M}_j\right]}\right\},$

M _jit is matrix pair the generalized eigenvector generating;

Wherein, $\tilde{H}=\left[\begin{array}{c}{\tilde{H}}_1\\ \·\\ \·\\ \·\\ {\tilde{H}}_K\end{array}\right],$ k is the number of described multiple subscriber equipmenies, and H represents the channel information matrix of subscriber equipment, for the kernel vector of described primary user's equipment, Tr representing matrix diagonal element and.

(remarks 20) a kind of computer-readable program, wherein when carry out described program in transmitter time, described program is carried out if remarks 11 is to the computational methods of the beamforming vectors as described in any one in remarks 19 computer in described transmitter.

(remarks 21) a kind of storage medium that stores computer-readable program, wherein said computer-readable program makes computer in transmitter, carry out the computational methods of the beamforming vectors as described in any one in remarks 11 to 19.

Claims (10)

1. a calculation element for beamforming vectors, comprising:

Information and recognition unit, collect the information of the effective information speed of multiple subscriber equipmenies of same running time-frequency resource dispatching, and identify primary user's equipment according to the information of described effective information speed;

Vector calculation unit, is described primary user's equipment compute beam shaping vector, and is other subscriber devices compute beamforming vectors at the kernel of channel corresponding to described primary user's equipment.

2. the calculation element of beamforming vectors as claimed in claim 1, wherein, the information of described effective information speed comprises: code rate information and/or modulation intelligence.

3. the calculation element of beamforming vectors as claimed in claim 1 or 2, wherein, described calculation element also comprises:

Metric computing unit, the information computing metric of its effective information speed based on described multiple subscriber equipmenies;

Metric judging unit, judges whether described metric is more than or equal to default threshold value;

And, in the time that described metric is more than or equal to default threshold value, described vector calculation unit is described primary user's equipment compute beam shaping vector, and is described other subscriber devices compute beamforming vectors at the kernel of channel corresponding to described primary user's equipment.

4. the calculation element of beamforming vectors as claimed in claim 3, wherein, described metric computing unit calculates the Modulation and Coding Scheme of described primary user's equipment under LTE system, and the average modulation encoding scheme of described other subscriber equipmenies, and using the difference of the Modulation and Coding Scheme of described primary user's equipment and described average modulation encoding scheme as described metric.

5. the calculation element of beamforming vectors as claimed in claim 1 or 2, wherein, the subscriber equipment with maximum effective information speed is identified as described primary user's equipment by described information and recognition unit.

6. the calculation element of beamforming vectors as claimed in claim 1, wherein, described vector calculation unit comprises:

Resolving cell, its mimo channel to described primary user's equipment decomposes, and obtains described kernel;

The first computing unit, it is described primary user's equipment compute beam shaping vector;

The second computing unit, it is described other subscriber devices compute beamforming vectors according to described kernel.

7. computational methods for beamforming vectors, described computational methods comprise:

Collect the information of the effective information speed of multiple subscriber equipmenies of same running time-frequency resource dispatching, and according to the information identification primary user equipment of described effective information speed;

For described primary user's equipment compute beam shaping vector, and be other subscriber devices compute beamforming vectors at the kernel of channel corresponding to described primary user's equipment.

8. computational methods as claimed in claim 7, wherein, the information of described effective information speed comprises: code rate information and/or modulation intelligence.

9. computational methods as claimed in claim 7 or 8, wherein, described computational methods also comprise:

The information computing metric of the effective information speed based on described multiple subscriber equipmenies;

Judge whether described metric is more than or equal to default threshold value;

And, in the time that described metric is more than or equal to default threshold value, is described primary user's equipment compute beam shaping vector, and is described other subscriber devices compute beamforming vectors at the kernel of channel corresponding to described primary user's equipment.

10. a transmitter, described transmitter comprises:

The calculation element of the beamforming vectors as described in claim 1 to 6 any one;

Scheduling unit, dispatches multiple subscriber equipmenies, and sends the information of the effective information speed of described multiple subscriber equipmenies to described calculation element;

Uplink channel estimation unit, carries out the estimation of up channel, and for described calculation element provides channel estimating information, makes the vector calculation unit compute beam of described calculation element be shaped vectorial;

Symbol generation unit, generates symbolic information;

Beam shaping elements, the symbol that the beamforming vectors calculating according to described calculation element and described symbol generation unit generate carries out beam forming processing;

Transmitting element, sends and has carried out beam forming signal after treatment.