CN113949424A - Method for eliminating downlink space division interference - Google Patents
Method for eliminating downlink space division interference Download PDFInfo
- Publication number
- CN113949424A CN113949424A CN202111232843.0A CN202111232843A CN113949424A CN 113949424 A CN113949424 A CN 113949424A CN 202111232843 A CN202111232843 A CN 202111232843A CN 113949424 A CN113949424 A CN 113949424A
- Authority
- CN
- China
- Prior art keywords
- user
- matrix
- null
- singular
- users
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 26
- 239000011159 matrix material Substances 0.000 claims abstract description 50
- 239000013598 vector Substances 0.000 claims description 22
- 239000000126 substance Substances 0.000 claims description 6
- 238000000354 decomposition reaction Methods 0.000 claims description 3
- 238000010606 normalization Methods 0.000 claims description 3
- 238000004891 communication Methods 0.000 abstract description 4
- 230000008030 elimination Effects 0.000 abstract description 4
- 238000003379 elimination reaction Methods 0.000 abstract description 4
- 230000002265 prevention Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005388 cross polarization Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- BTCSSZJGUNDROE-UHFFFAOYSA-N gamma-aminobutyric acid Chemical compound NCCCC(O)=O BTCSSZJGUNDROE-UHFFFAOYSA-N 0.000 description 1
- 230000010287 polarization Effects 0.000 description 1
- 238000007493 shaping process Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001629 suppression Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0426—Power distribution
- H04B7/043—Power distribution using best eigenmode, e.g. beam forming or beam steering
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Power Engineering (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention provides a method for eliminating downlink space division interference, belonging to the technical field of wireless communication. The method comprises the following steps: acquiring an initial forming weight of each user of the space division packet; acquiring a null matrix of the null packet; forming a new forming weight of each user through the initial forming weight and the null matrix; and issuing a new forming weight of each user. The invention is a downstream space division interference elimination method based on null, not only solves the interference elimination problem among space division users, but also minimizes the signal energy loss of the user, compared with the existing null method, further improves the received signal-to-noise ratio (SINR) of the space division users, and improves the demodulation success rate and the cell throughput of the space division users.
Description
Technical Field
The invention belongs to the technical field of wireless communication, and particularly relates to a method for eliminating downlink space division interference.
Background
In an NR, LTE-a multi-antenna communication system, multi-user space division is a main means for improving cell throughput. Especially, in high frequency communication, the signal attenuation is serious, and in order to overcome the serious problem of signal attenuation, the intelligent beam forming technology is generally applied. The more antennas, the narrower the beam, and the better the energy concentration can be directed to the receiving user. Narrower wave beam can greatly improve the number of the space division users, thereby improving the resource utilization rate. However, as the number of spatial division users increases, the system is more likely to generate interference between spatial division users, i.e., spatial division interference.
Suppression of spatial division interference is an important consideration in the design of downlink forming weights. The design scheme of the existing initial forming weight comprises the following common ideas: constructing a weight according to a PMI fed back by a terminal, particularly in NR, constructing the weight according to a DFT base vector; in LTE-A, selecting users without intersection of incoming wave beams to perform space division according to preset wave beams; and calculating the direction of incoming waves (DOA) of the UE according to the uplink signals, acquiring the included guide vectors according to the direction of the incoming waves, and further constructing weights. However, when performing multiuser space, interference between space division users is inevitably caused, so in designing the shaping weight, interference cancellation between space division users should be considered.
Some existing space division interference cancellation methods, such as the conventional null-based interference cancellation method, also cause a loss of signal energy of users themselves while canceling interference between space division users.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a method for eliminating downlink space division interference.
In order to achieve the above purpose, the invention provides the following technical scheme:
a method for eliminating downlink space division interference comprises the following steps:
acquiring an initial forming weight of each user of the space division packet;
obtaining an incoming wave beam of each user and energy information of each incoming wave beam according to the initial forming weight of each user and an uplink channel parameter estimation result of each user;
processing the incoming wave beam of each user and the energy information of each incoming wave beam to obtain a null matrix of each user;
forming a new forming weight of each user through the initial forming weight of each user and the null matrix of each user;
and updating the forming weight according to the new forming weight of each user so as to eliminate the downlink space division interference.
Preferably, the initial forming weight of each user is WUEiN, N is the number of users in the null packet.
Preferably, the obtaining the null matrix of each user includes the following steps:
the incoming wave beam of each user and the energy of each incoming wave beam are respectively marked as H through a matrix H after noise reduction processing is carried out on the incoming wave beam and the energy of each incoming wave beamUE1，HUE2，...，HUEN(ii) a The number of rows and columns of the matrix H is respectively the number of base station antennas and the number of user antennas;
for matrix HUE1，HUE2，...，HUENRespectively carrying out singular value decomposition to obtain a left singular vector set P;
constructing a null matrix R of each user through a left singular vector set PUEi。
Preferably, the obtaining of the left singular vector set P includes the following steps:
separately expand H by equation (1)UE1，HUE2，...，HUEN，
HUEi＝U∑VT (1)
Wherein, U is left singular matrix of M multiplied by M, and U is equal to U1，U2，...，UMM is the number of base station antennas; sigma is a singular value matrix of M multiplied by K, K is the number of user antennas, and the singular value on the main diagonal in the sigma is sigma1，σ2，...σmin(M，K)The other elements except the elements on the main diagonal are all 0; v is a K x K right singular matrix;
according to said singular value σ1，σ2，...σmin(M，K)Sequentially adding the singular values into the set from large to small, calculating the energy sum ratio in the set through a formula (2), and obtaining L singular values sigma meeting the set threshold value when the energy sum ratio in the set exceeds the set threshold value G1，σ2，...，σL，
Wherein the content of the first and second substances,
g is a set threshold value, σLRefers to the sum of energyOccupying the minimum singular value in the set of singular values with the ratio exceeding a set threshold value G, wherein L is more than 0 and less than or equal to min (M, K);
singular value sigma1，σ2，...σLAnd (3) forming a left singular vector set P by the left singular vectors in the left singular matrixes respectively corresponding to the left singular vectors:
P＝[U1，U2，...UL]。
preferably, the obtaining the left singular vector set P further includes:
computing a null matrix r according to equation (3)UEiAnd for the null matrix rUEiNormalization processing is carried out to obtain a null matrix R of each userUEi，
rUEi＝inv(P*PT+α*I) (3)
Wherein inv () represents inverting the matrix; i represents a unit diagonal matrix; alpha is a diagonal loading factor, and the value is taken according to PTIs set to the diagonal size.
Preferably, the forming of the new forming weight of each user includes the following steps:
grouping the users in the null group pairwise;
and users in each group obtain new forming weights through mutual nulling of respective nulling matrixes.
Preferably, the obtaining of the new forming weight by mutual nulling of the users in each group through respective nulling matrices includes:
using equation (4) and equation (5) to null each other:
wherein the content of the first and second substances,
and
new forming weights for a group of users respectively; rUEjAnd RUEkNull matrices for a group of users, respectively; wUEjAnd WUEkRespectively, the initial forming weights of a group of users.
The method for eliminating the downlink space division interference has the following beneficial effects: the invention is a downstream space division interference elimination method based on null, not only solves the interference elimination problem among space division users, but also minimizes the signal energy loss of the user, compared with the existing null method, further improves the received signal-to-noise ratio (SINR) of the space division users, and improves the demodulation success rate and the cell throughput of the space division users.
Drawings
In order to more clearly illustrate the embodiments of the present invention and the design thereof, the drawings required for the embodiments will be briefly described below. The drawings in the following description are only some embodiments of the invention and it will be clear to a person skilled in the art that other drawings can be derived from them without inventive effort.
Fig. 1 is a schematic flow chart of a method for eliminating downlink space division interference according to embodiment 1 of the present invention;
fig. 2 is a flowchart illustrating a method for obtaining a null matrix in embodiment 1 of the present invention.
Detailed Description
In order that those skilled in the art will better understand the technical solutions of the present invention and can practice the same, the present invention will be described in detail with reference to the accompanying drawings and specific examples. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Example 1
The invention provides a method for eliminating downlink space division interference, which specifically comprises the following steps as shown in figure 1: acquiring an initial forming weight of each user of the space division packet; obtaining an incoming wave beam of each user and energy information of each incoming wave beam according to the initial forming weight of each user and an uplink channel parameter estimation result of each user; processing the incoming wave beam of each user and the energy information of each incoming wave beam to obtain a null matrix of each user; forming a new forming weight of each user through the initial forming weight of each user and the null matrix of each user; and updating the forming weight according to the new forming weight of each user so as to eliminate the downlink space division interference.
Without loss of generality, assume that the empty packet in this embodiment contains 2 empty users, denoted as UE1 and UE 2.
Specifically, the initial forming weight of each user is set as WUEiN, N is the number of users in the null packet. The initial forming weight of each user is obtained by feeding back a precoding matrix indicator PMI and a kronecker product of each incoming wave beam. The obtained initial forming weights of the spatially separated UE1 and UE2 are: wUE1And WUE2。
The specific method of selecting an incoming wave beam is illustrated as follows: setting the number M of base station antennas to be 64; the base station antenna is in a 2 × 16 × 2 state, namely cross polarization, 16 antennas in the horizontal direction and 2 antennas in the vertical direction. Each preset beam is set to have a dimension of 16 x 1, and an incoming beam set is selected from the preset beam sets. The incoming wave beam is selected according to the energy projection of the incoming wave beam in the user signal direction, and the beam set with the maximum projection energy is selected as the incoming wave beam set. The projection energy is calculated by:
wherein H denotes a channel estimation result of a first port of the uplink channel SRS corresponding to the antenna in the same polarization direction of the base station, and the dimension is 16 × 1. B refers to the preset beam with dimension 16 x 1.
Referring to fig. 2, acquiring the null matrix includes the following steps: acquiring a channel estimation result of an uplink channel of each user in the null packet; each channel estimation result is subjected to noise reduction processing and is respectively marked as H through a matrix HUE1，HUE2(ii) a The number of rows and columns of the matrix H is respectively the number of base station antennas and the number of user antennas; for matrix HUE1，HUE2Respectively carrying out singular value decomposition to obtain a left singular vector set P meeting a set threshold; constructing a null matrix R of each user through a left singular vector set PUE1And RUE2。
In this embodiment, the specific steps of obtaining the left odd vector set P are as follows: separately expand H by equation (1)UE1，HUE2，
HUEi＝U∑VT (1)
Wherein, U is left singular matrix of M multiplied by M, and U is equal to U1，U2，...，UMM is the number of base station antennas; sigma is a singular value matrix of M multiplied by K, K is the number of user antennas, and the singular value on the main diagonal in the sigma is sigma1，σ2，...σmin(M，K)The other elements except the elements on the main diagonal are all 0; v is a K right singular matrix.
According to singular value σ1，σ2，...σmin(M，K)Sequentially adding singular values into the set from large to small, calculating the energy sum ratio in the set by a formula (2) until the energy sum ratio in the set exceeds a set threshold G, and obtaining L singular values sigma satisfying the set threshold1，σ2，...，σL，
Wherein the content of the first and second substances,
g is a set threshold default G of 0.95, σLThe method refers to the minimum singular value in a set of singular values with the energy sum ratio exceeding a set threshold value G, wherein L is more than 0 and less than or equal to min (M, K).
Singular value sigma1，σ2，...σLAnd (3) forming a left singular vector set P by the left singular vectors in the left singular matrixes respectively corresponding to the left singular vectors:
P＝[U1，U2，...UL]。
in this embodimentIn (1), a null matrix r is calculated according to the formula (3)UEiFor null matrix rUEiNormalization processing is carried out to obtain a null matrix R of each userUEi，
rUEi＝inv(P*pT+α*I) (3)
Wherein inv () represents inverting the matrix; zero-trap prevention matrix rUEiSingular addition of a loading factor I, where I represents a unit diagonal matrix and α is the prevention of P x PTSingular diagonal loading factors whose values are in accordance with PTIs set to the diagonal size.
Specifically, the step of forming the new forming weight includes: grouping the users in the null group pairwise; and users in each group obtain new forming weights through mutual nulling of respective nulling matrixes.
In the present embodiment, equations (4) and (5) are used with mutual nulling:
wherein the content of the first and second substances,
new form weights for UE1 and UE2, respectively; rUE1And RUE2Null matrices for UE1 and UE2, respectively; wUE1And WUE2UEl and UE2, respectively.
The above embodiments are only preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, and any simple changes or equivalent substitutions of the technical solutions that can be obviously obtained by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention.
Claims (7)
1. A method for eliminating downlink space division interference is characterized by comprising the following steps:
acquiring an initial forming weight of each user of the space division packet;
obtaining an incoming wave beam of each user and energy information of each incoming wave beam according to the initial forming weight of each user and an uplink channel parameter estimation result of each user;
processing the incoming wave beam of each user and the energy information of each incoming wave beam to obtain a null matrix of each user;
forming a new forming weight of each user through the initial forming weight of each user and the null matrix of each user;
and updating the forming weight according to the new forming weight of each user so as to eliminate the downlink space division interference.
2. The method of spatial division interference cancellation according to claim 1, wherein the initial forming weight of each user is WUEiN, N is the number of users in the null packet.
3. The method for spatial division interference cancellation according to claim 1, wherein the obtaining the null matrix for each user includes the following steps:
the incoming wave beam of each user and the energy of each incoming wave beam are respectively marked as H through a matrix H after noise reduction processing is carried out on the incoming wave beam and the energy of each incoming wave beamUE1，HUE2，...，HUEN(ii) a The number of rows and columns of the matrix H is respectively the number of base station antennas and the number of user antennas;
for matrix HUE1，HUE2，...，HUENRespectively carrying out singular value decomposition to obtain a left singular vector set P;
constructing a null matrix R of each user through a left singular vector set PUEi。
4. The method for eliminating downlink spatial division interference according to claim 3, wherein the obtaining of the left singular vector set P comprises the following steps:
separately expand H by equation (1)UE1，HUE2，...，HUEN，
HUEi＝U∑VT (1)
Wherein, U is left singular matrix of M multiplied by M, and U is equal to U1，U2，...，UMM is the number of base station antennas; sigma is a singular value matrix of M multiplied by K, K is the number of user antennas, and the singular value on the main diagonal in the sigma is sigma1，σ2，...σmin(M，K)The other elements except the elements on the main diagonal are all 0; v is a K x K right singular matrix;
according to said singular value σ1，σ2，...Gmin(M，K)Sequentially adding the singular values into the set from large to small, calculating the energy sum ratio in the set through a formula (2), and obtaining L singular values sigma meeting the set threshold value when the energy sum ratio in the set exceeds the set threshold value G1，σ2，...，σL，
Wherein the content of the first and second substances,
g is a set threshold value, σLThe minimum singular value in a set of singular values with the energy sum ratio exceeding a set threshold value G is indicated, and L is more than 0 and less than or equal to min (M, K);
singular value sigma1，σ2，...σLAnd (3) forming a left singular vector set P by the left singular vectors in the left singular matrixes respectively corresponding to the left singular vectors:
P＝[U1，U2，...UL]。
5. the method for eliminating downlink spatial division interference according to claim 3, wherein the obtaining a left singular vector set P further includes:
computing a null matrix r according to equation (3)UEiAnd for the null matrix rUEiNormalization processing is carried out to obtain the value of each userNull matrix RUEi，
rUEi＝inv(P*PT+α*I) (3)
Wherein inv () represents inverting the matrix; i represents a unit diagonal matrix; alpha is a diagonal loading factor, and the value is taken according to PTIs set to the diagonal size.
6. The method for spatial division interference cancellation according to claim 1, wherein the forming the new forming weight for each user includes the following steps:
grouping the users in the null group pairwise;
and users in each group obtain new forming weights through mutual nulling of respective nulling matrixes.
7. The method according to claim 6, wherein the obtaining of the new forming weight by nulling each user in each group through respective nulling matrices comprises:
using equation (4) and equation (5) to null each other:
wherein the content of the first and second substances,
and
new forming weights for a group of users respectively; rUEjAnd RUEkNull matrices for a group of users, respectively; wUEjAnd WUEkRespectively, the initial forming weights of a group of users.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111232843.0A CN113949424B (en) | 2021-10-22 | 2021-10-22 | Method for eliminating downlink space division interference |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111232843.0A CN113949424B (en) | 2021-10-22 | 2021-10-22 | Method for eliminating downlink space division interference |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113949424A true CN113949424A (en) | 2022-01-18 |
| CN113949424B CN113949424B (en) | 2023-12-22 |
Family
ID=79332201
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111232843.0A Active CN113949424B (en) | 2021-10-22 | 2021-10-22 | Method for eliminating downlink space division interference |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113949424B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101674120A (en) * | 2008-09-08 | 2010-03-17 | 大唐移动通信设备有限公司 | Method and device for forming multiuser wave beam |
| US20120289266A1 (en) * | 2011-05-12 | 2012-11-15 | Electronics And Telecommunications Research Institute | Cognitive radio base station and communication method thereof in multi-user multiple-input multiple output cognitive radio network system |
| CN103248461A (en) * | 2013-05-03 | 2013-08-14 | 华中科技大学 | Multiple cell interference alignment iterative algorithm based on beam forming |
| US20130279422A1 (en) * | 2011-01-06 | 2013-10-24 | Postech Academy-Industry Foundation | Interference alignment method and device in cellular network |
| CN103763782A (en) * | 2014-01-13 | 2014-04-30 | 西安电子科技大学 | Dispatching method for MU-MIMO down link based on fairness related to weighting users |
| CN106060950A (en) * | 2016-05-25 | 2016-10-26 | 重庆邮电大学 | Opportunity interference alignment-based method for data transmission in cellular downlink channel |
| CN108259114A (en) * | 2018-02-06 | 2018-07-06 | 中兴通讯股份有限公司 | A kind of method, apparatus, equipment and storage medium that interference is reduced by null |
| CN108631851A (en) * | 2017-10-27 | 2018-10-09 | 西安电子科技大学 | The Adaptive beamformer method deepened based on uniform linear array null |
-
2021
- 2021-10-22 CN CN202111232843.0A patent/CN113949424B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101674120A (en) * | 2008-09-08 | 2010-03-17 | 大唐移动通信设备有限公司 | Method and device for forming multiuser wave beam |
| US20130279422A1 (en) * | 2011-01-06 | 2013-10-24 | Postech Academy-Industry Foundation | Interference alignment method and device in cellular network |
| US20120289266A1 (en) * | 2011-05-12 | 2012-11-15 | Electronics And Telecommunications Research Institute | Cognitive radio base station and communication method thereof in multi-user multiple-input multiple output cognitive radio network system |
| CN103248461A (en) * | 2013-05-03 | 2013-08-14 | 华中科技大学 | Multiple cell interference alignment iterative algorithm based on beam forming |
| CN103763782A (en) * | 2014-01-13 | 2014-04-30 | 西安电子科技大学 | Dispatching method for MU-MIMO down link based on fairness related to weighting users |
| CN106060950A (en) * | 2016-05-25 | 2016-10-26 | 重庆邮电大学 | Opportunity interference alignment-based method for data transmission in cellular downlink channel |
| CN108631851A (en) * | 2017-10-27 | 2018-10-09 | 西安电子科技大学 | The Adaptive beamformer method deepened based on uniform linear array null |
| CN108259114A (en) * | 2018-02-06 | 2018-07-06 | 中兴通讯股份有限公司 | A kind of method, apparatus, equipment and storage medium that interference is reduced by null |
Non-Patent Citations (3)
| Title |
|---|
| GUOCHEN LIU; GANG WU; XIUHONG SU; SHAOQIAN LI: "Low-complexity zero-forcing coordinated beamforming by adaptive-perturbation for multi-cell MIMO networks", 《2012 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP)》 * |
| 卫旭芳；吴催生 ；姚长虹；王辉: "直接数据域的最小二乘法在抗干扰中的应用", 《现代防御技术》, vol. 42, no. 1, pages 60 - 64 * |
| 周围; 彭洋; 冉静萱; 陈星宇; 马茂琼: "毫米波大规模MIMO系统中的一种低复杂度的混合波束赋形方案", 《通信技术》, vol. 53, no. 12, pages 2892 - 2897 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113949424B (en) | 2023-12-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Fatema et al. | Massive MIMO linear precoding: A survey | |
| CN103312389B (en) | A kind of multiuser interference suppression method, terminal and base station | |
| Kimy et al. | Non-orthogonal multiple access in a downlink multiuser beamforming system | |
| Yang et al. | Optimal downlink power assignment for smart antenna systems | |
| CN106658751A (en) | Multi-antenna device channel access method and apparatus | |
| US9559759B2 (en) | System and method for massive MIMO communication | |
| JP2017518002A (en) | Transmission signal generation method using preprocessing filter of MIMO transmitter | |
| EP2639969B1 (en) | Apparatus, method and computer program for transmit precoding | |
| CN114285444B (en) | Power optimization method for large-scale de-cellular MIMO system | |
| CN101765123A (en) | Method for distributing uplink resource of multi-user MIMO-OFDM | |
| Hoydis et al. | Outage performance of cooperative small-cell systems under Rician fading channels | |
| CN109004963B (en) | Wireless communication user optimal scheduling method based on opportunistic interference alignment | |
| CN106487436B (en) | Hybrid beam forming uplink multi-user pairing method and device | |
| CN111713054B (en) | Communication method, communication device and system | |
| CN104253639B (en) | Obtain the method and device of channel quality instruction | |
| CN106341168B (en) | Method for precoding, method for sending information and its device | |
| CN113949424A (en) | Method for eliminating downlink space division interference | |
| KR101857670B1 (en) | Method for processing received signal by forming re group in mimo receiver | |
| CN108206712B (en) | Method and device for carrying out pre-combination processing on uplink massive MIMO signals | |
| CN107154815B (en) | Multi-user system hybrid pre-coding method | |
| CN114499606B (en) | Interference suppression method and device in multi-user multi-input multi-output system | |
| WO2017132977A1 (en) | Method and apparatus for reducing system interference | |
| Maruta et al. | Iterative inter-cluster interference cancellation for cooperative base station systems | |
| Almelah et al. | On the downlink spectral efficiency of ZF beamforming over MIMO channels in multi-cell environments | |
| CN114070436A (en) | Channel measurement method and communication device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |