CN106341170A - Beam training method - Google Patents
Beam training method Download PDFInfo
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- CN106341170A CN106341170A CN201510393848.XA CN201510393848A CN106341170A CN 106341170 A CN106341170 A CN 106341170A CN 201510393848 A CN201510393848 A CN 201510393848A CN 106341170 A CN106341170 A CN 106341170A
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- wave beam
- base station
- training
- wave
- finding
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Classifications
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- 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
-
- 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
- H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
- H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
- H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
- H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
- H04B7/0621—Feedback content
- H04B7/0626—Channel coefficients, e.g. channel state information [CSI]
-
- 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
- H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
- H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
- H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
- H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
- H04B7/0621—Feedback content
- H04B7/0632—Channel quality parameters, e.g. channel quality indicator [CQI]
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention provides a beam training method, which comprises the steps that a base station adopts a plurality of coarse beam transmitting systems to broadcast information and synchronize signals; UE receives and compares the signal receiving quality from a plurality of coarse beams, selecting a beam with the best signal receiving quality to act as a discovery beam, and feeding the discovery beam back to the base station; and the base station perform beam training in a coverage area of the discovery beam after the UE accesses. The beam training method not only can complete channel access efficiently, but also can effectively simplify a beam training process between an eNodeB and the connected UE, thereby completing optimal beam training between the eNodeB and the UE quickly.
Description
Technical field
The present invention relates to wireless communication field, more particularly, to a kind of wave beam training method.
Background technology
In order to increase substantially the spectrum efficiency of system, massive mimo technology has become as the shifting of the 5th generation
Dynamic communication (the 5thGeneration, abbreviation 5g) in a key technology.Massive mimo skill
Art is passed through to be equipped with large-scale aerial array in base station end, using the principle of space division multiplexing, services multiple simultaneously
User.The vast array gain being brought due to large-scale antenna array and interference mitigation gains, can at double
Total spectrum efficiency of lifting cell and edge customer spectrum efficiency.
In traditional lte network, system broadcasts and Stochastic accessing are all based on the complete of base station and user side
To or sectorized antennas pattern.Being carried out with omni-beam broadcasting all users to ensure in cell can
The reception synchronization leaned on and system broadcast information.In the random access procedure, enodeb also can use omnidirectional antenna
To detect the preamble signal that different directions user sends.But in massive mimo system, greatly
The narrow beam being highly directional that scale aerial array is formed, can be to broadcast letter while lift system performance
Road and random access procedure bring certain impact.In order to make full use of the high array gain of extensive antenna,
Need to find the optimum transmitting-receiving wave beam between enodeb and ue by way of wave beam is trained.
Massive mimo can be equipped with the large scale array of hundreds of antennas in base station end, high in order to obtain
Beam forming gain, the narrow beam being all highly directional that massive mimo is formed, can dramatically increase
The signal to noise ratio of receipt signal.But need before data is transmitted the means such as to train to find by wave beam
Optimum transmitting-receiving wave beam between enodeb and ue.If directly in all possible beam space or wave beam
It is trained on direction or searches for, the problems such as training time is long, and csi resource overhead is excessive can be caused.
In addition narrow beam also can bring following two problems to broadcast channel and random access procedure:
For broadcast channel: base station is broadcasted towards all users of cell, now wishes cell
All users can reliably receive broadcast message, especially for Cell Edge User.But, due to
The narrow beam of large-scale antenna array cannot cover to whole cell as omnidirectional antenna, causes part
User possibly cannot receive synchronization and the broadcast message of enodeb transmission, thus the performance to system and net
Network planning brings impact.
For Stochastic accessing: user is when being initially accessed or switch it is impossible to know the optimum with antenna
Transmitting-receiving beam direction, thus to Stochastic accessing performance producing ratio large effect.
Content of the invention
For the problems referred to above, the present invention proposes a kind of wave beam training method, comprising:
Base station adopts multiple thick wave beams to send system broadcast information and synchronizing signal;Ue receives and compares and is derived from
The signal receiving quality of multiple thick wave beams, selects the wherein best wave beam of signal receiving quality as discovery ripple
Bundle, feeds back to described base station;Described base station after described ue accesses, described find wave beam covering model
Carry out wave beam training in enclosing.
Further, described thick wave beam meets following condition: beam gain ensures that Cell Edge User can enough
It is abutted against and receive synchronization and system broadcast information.
Further, also include, the beam angle of described thick wave beam slightly covers whole region to reduce as far as possible
Numbers of beams.
Further, described region is single base station cell or sector.
Further, described discovery wave beam is fed back to described base station by described ue in the random access procedure.
Further, described base station also carries when sending system broadcasts and synchronizing signal using multiple thick wave beams
The unique mark of each wave beam, described ue described will find that the unique mark of wave beam is anti-after determining discovery wave beam
Feed described base station.
Further, described base station carries out wave beam training inclusion: base in the described coverage finding wave beam
Stand in and produce multiple narrow beams in the coverage find wave beam as training wave beam;Described ue feeds back each instruction
The channel quality practicing wave beam is to described base station;Described base station determines for data transfer according to the feedback of ue
Wave beam.
Further, the sensing scope of the plurality of narrow beam is: [θopt-δ/2,θopt+ δ/2], wherein: θopt
For finding the beam direction of wave beam, δ is the half-power beam width finding wave beam.
Further, also include: for each described training beam configuration independence csi process, described ue lead to
Cross the cqi information that different csi processes report each training wave beam;The base station selected csi with highest cqi
The corresponding wave beam of process is as the optimum beam of data transfer.
The present invention is used for the wave beam training in massive mimo system, and user not only can be allowed efficiently quick
The numbers of beams completing channel access, can also effectively reducing between ue and enodeb training, in fall
It is rapidly completed wave beam training while low reference channel expense.
Brief description
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to enforcement
Example or description of the prior art in required use accompanying drawing be briefly described it should be apparent that, retouch below
Accompanying drawing in stating is some embodiments of the present invention, for those of ordinary skill in the art, is not paying
On the premise of creative work, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 proposes the basic handling block diagram of method for the present invention;
Fig. 2 is multiple-beam system broadcast schematic diagram in embodiment;
Fig. 3 is that in embodiment, the wave beam based on csi process trains schematic diagram.
Specific embodiment
Purpose, technical scheme and advantage for making the embodiment of the present invention are clearer, below in conjunction with the present invention
Accompanying drawing in embodiment, the technical scheme in the embodiment of the present invention is clearly and completely described it is clear that
Described embodiment is a part of embodiment of the present invention, rather than whole embodiments;It should be noted that
In the case of not conflicting, the embodiment in the application and the feature in embodiment can be mutually combined.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained under the premise of not making creative work
Every other embodiment, broadly fall into the scope of protection of the invention.
A kind of wave beam training method is proposed in embodiments of the present invention, as shown in Figure 1, comprising: base station adopts
Multiple thick wave beams send system broadcast information and synchronizing signal;Ue receives and compares from multiple thick wave beams
Signal receiving quality, selects the wherein best wave beam of signal receiving quality as finding wave beam, feeds back to described
Base station;Described base station, after described ue accesses, carries out wave beam instruction in the described coverage finding wave beam
Practice.
In said method, ue efficiently can not only complete channel access additionally it is possible to effectively simplify enodeb
Wave beam training process and connected state ue between, is rapidly completed the optimal beam training and ue between.
In one alternate embodiment, thick wave beam meets following condition: beam gain ensures cell edge enough
User's reliable reception is to synchronization and system broadcast information.
In one alternate embodiment, also include, the beam angle of described thick wave beam is slightly covered with reducing as far as possible
The numbers of beams of lid whole region.
In one alternate embodiment, region is single base station cell or sector.
In one alternate embodiment, ue in the random access procedure described discovery wave beam is fed back to described
Base station.
In one alternate embodiment, base station is when sending system broadcasts and synchronizing signal using multiple thick wave beams
Also carry the unique mark of each wave beam, described ue finds the unique of wave beam by described after determining discovery wave beam
Identification feedback gives described base station.
In one alternate embodiment, base station carries out wave beam training package in the described coverage finding wave beam
Include: base station produces multiple narrow beams as training wave beam in the coverage finding wave beam;Described ue is anti-
The channel quality of feedback each training wave beam gives described base station;Described base station determines for data according to the feedback of ue
The wave beam of transmission.
In one alternate embodiment, the sensing scope of multiple narrow beams is: [θopt-δ/2,θopt+ δ/2], its
In: θoptFor finding the beam direction of wave beam, δ is the half-power beam width finding wave beam.
In one alternate embodiment, also include: for each described training beam configuration independence csi process,
Described ue reports the cqi information of each training wave beam by different csi processes;Base station selected have highest
The corresponding wave beam of csi process of cqi is as the optimum beam of data transfer.
Embodiment:
The present invention is carried out after wave beam training is assigned to ue access procedure and is accessed.
First, when sending system broadcasts, enodeb can carry out system broadcasts using relatively thick wave beam.
It is found that enodeb broadcasts with regard to the optimum of this ue in user receiving system broadcast and random access procedure
Wave beam, referred to as finds wave beam.Ue, after entering connected state by Stochastic accessing, can find wave beam
On the basis of carry out further wave beam training.
As shown in Fig. 2 be equipped with the large-scale antenna array of sectorization at enodeb end.In order to ensure cell
The user at edge can reliably receive system broadcast information, needs to send out using the directional beam shown in figure
Send system broadcast information, simultaneously in order to cover to whole sector users, enobeb needs n (in figure
N=5) wave beam of individual different directions is simultaneously or the transmission synchronization of poll and system broadcast information.
In order that all users of coverage sector can reliably receive the synchronization of enodeb transmission and be
System information, can believe according to the transmission synchronizing signal that the mode of beam scanning is repeated cyclically and system broadcasts
Breath.In order to ensure upgrading in time of broadcast message, the cycle of beam scanning is unsuitable long, therefore, broadcast wave
Bundle is thick as far as possible when ensureing Cell Edge User reliable reception, this makes it possible to less ripple
Bundle completes the covering to sector.Assume that each wave beam has a unique identity, referred to as wave beam id,
It is designated as b(n), the b of such as in figure(0)~b(4).Each wave beam send synchronizing information or system broadcast information when
Wait and carry respective wave beam id simultaneously.So ue is when receiving synchronizing signal or system broadcasts with regard to energy
Enough know corresponding information is received by which wave beam.Same ue is likely to be received from multiple ripples
The information of bundle, now ue can compare the signal receiving quality from different beams, select that there is optimal chain
The wave beam id of road quality, referred to as finds wave beam id, is designated as b(opt).In random access procedure afterwards,
By suitable mode, ue, while sending preamble sequence, can will be seen that wave beam id feeds back to
enodeb.
Assume that ue carries out data transmit-receive using omnidirectional antenna, now enodeb adopts omnidirectional's reception pattern inspection
Survey the preamble sequence that ue sends.After enodeb detects the preamble of ue transmission, with regard to energy
Enough optimum discovery wave beam id:b obtaining from the feedback information of ue with regard to this ue(opt).
In order to make full use of the array gain of massive mimo, after ue is successfully accessed, enodeb
Wave beam b can found(opt)On the basis of carry out further wave beam training, training has the narrow ripple of more high-gain
Bundle is carried out data transmission with ue.The received signal to noise ratio of user can not only be dramatically increased, can suppress simultaneously
Interference between different user.
Wave beam training process after user enters connected state by Stochastic accessing is as shown in Figure 3.b(opt)For
The optimum broadcast beam that ue finds in access procedure.In order to obtain the narrow beam of more high-gain, enodeb
Can be in b(opt)Coverage in regenerate multiple wave beams, in Fig. 2False
If b(opt)Beam direction be θopt, half-power beam width is δ.ThenWave beam refer to
It is [θ to scopeopt-δ/2,θopt+δ/2].The scope of the wave beam training thus greatly reducing.Simultaneously for side
Just ue measures to the channel quality on each beam direction and reports, independent for each beam configuration
Csi process.Ue can report the cqi information on different beams direction by different csi processes.enodeb
May be selected by the optimal transmitting-receiving as data transfer for the corresponding wave beam of csi process with highest cqi
Wave beam, so far completes wave beam training process.
As can be seen from the above embodiments, the present invention wave beam training has been assigned in access procedure and access
After carry out.In access procedure, enodeb sends system broadcast information using thicker wave beam, now
The selection of wave beam needs to meet at 2 points and requires: 1) beam gain sufficiently high to ensure that Cell Edge User can
Reliably receive synchronization and system broadcast information;2) meeting 1) requirement on wave beam thick as far as possible,
In order to reduce the numbers of beams covering whole sector.So ue can train with enodeb in access procedure
Good optimal thick beam direction, that is, find wave beam b(opt)., after completing to access, enodeb can be in b for ue(opt)
On the basis of wave beam is further trained, for produce more high-gain narrow beam be used for data pass
Defeated.Now only need to finding wave beam b(opt)Coverage in carry out wave beam and train.The pass of this process
Key point is: 1) needs the narrow beam of training will find wave beam b(opt)Coverage in;2) train ripple
The gain of bundle is as high as possible;3) it is the independent csi process of each transmission beam distribution.Now ue meeting
Report cqi in each csi process, enodeb selects the optimum corresponding wave beam of cqi as optimal transmission
Wave beam, completes wave beam training process.
One of ordinary skill in the art will appreciate that: all or part of step realizing said method embodiment can
Completed with the hardware related by programmed instruction, aforesaid program can be stored in an embodied on computer readable and deposit
In storage media, this program upon execution, executes the step including said method embodiment;And aforesaid storage
Medium includes: rom, ram, magnetic disc or CD etc. are various can be with the medium of store program codes.
Last it is noted that above example is only in order to illustrating technical scheme, rather than it is limited
System;Although being described in detail to the present invention with reference to the foregoing embodiments, those of ordinary skill in the art
It is understood that it still can be modified to the technical scheme described in foregoing embodiments, or to it
Middle some technical characteristics carry out equivalent;And these modifications or replacement, do not make appropriate technical solution
Essence departs from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (9)
1. a kind of wave beam training method is it is characterised in that include:
Base station adopts multiple thick wave beams to send system broadcast information and synchronizing signal;
Ue receives and compares the signal receiving quality from multiple thick wave beams, selects wherein signal receiving quality
Best wave beam, as finding wave beam, feeds back to described base station;
Described base station, after described ue accesses, carries out wave beam training in the described coverage finding wave beam.
2. method according to claim 1 is it is characterised in that described thick wave beam meets following condition:
Beam gain ensures Cell Edge User reliable reception to synchronization and system broadcast information enough.
3. method according to claim 2 is it is characterised in that also include, the ripple of described thick wave beam
Beam width is as far as possible slightly to reduce the numbers of beams covering whole region.
4. method according to claim 3, described region is single base station cell or sector.
5. method according to claim 1 is it is characterised in that described ue is in random access procedure
Middle by described discovery wave beam feed back to described base station.
6. method according to claim 1 is it is characterised in that described base station is using multiple thick ripples
Bundle also carries the unique mark of each wave beam when sending system broadcasts and synchronizing signal, described ue is determining discovery
After wave beam, the described unique mark finding wave beam is fed back to described base station.
7. the method according to claim 1~6 any one is it is characterised in that described base station is in institute
State and in the coverage find wave beam, carry out wave beam training inclusion:
Base station produces multiple narrow beams as training wave beam in the coverage finding wave beam;Described ue is anti-
The channel quality of feedback each training wave beam gives described base station;Described base station determines for data according to the feedback of ue
The wave beam of transmission.
8. method according to claim 7 is it is characterised in that the sensing model of the plurality of narrow beam
Enclose for [θopt-δ/2,θopt+ δ/2], wherein: θoptFor finding the beam direction of wave beam, δ is to find wave beam
Half-power beam width.
9. the method according to claim 7 or 8 is it is characterised in that also include: for each described instruction
Practice the csi process of beam configuration independence, described ue reports each training wave beam by different csi processes
Cqi information;The base station selected corresponding wave beam of csi process with highest cqi is optimal as data transfer
Wave beam.
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CN201510393848.XA CN106341170A (en) | 2015-07-07 | 2015-07-07 | Beam training method |
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CN107276649A (en) * | 2017-06-08 | 2017-10-20 | 东南大学 | The feedback-less wave beam training method that low precision analog-to-digital conversion is combined with mixing precoding |
WO2018137586A1 (en) * | 2017-01-26 | 2018-08-02 | 华为技术有限公司 | Inter-cell beam coordinated scheduling method and related device |
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CN107276649A (en) * | 2017-06-08 | 2017-10-20 | 东南大学 | The feedback-less wave beam training method that low precision analog-to-digital conversion is combined with mixing precoding |
CN107276649B (en) * | 2017-06-08 | 2020-04-24 | 东南大学 | Low-precision analog-to-digital conversion and hybrid precoding combined non-feedback beam training method |
CN109039395A (en) * | 2017-06-12 | 2018-12-18 | 上海中兴软件有限责任公司 | beam selection method and device |
CN109039395B (en) * | 2017-06-12 | 2022-08-05 | 中兴通讯股份有限公司 | Beam selection method and device |
CN109151841A (en) * | 2017-06-16 | 2019-01-04 | 电信科学技术研究院 | Transmission, method of reseptance, base station and the terminal of wave beam under a kind of more TRP |
CN110771081A (en) * | 2017-06-20 | 2020-02-07 | 索尼公司 | Electronic device, method, and storage medium for wireless communication system |
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CN109462889A (en) * | 2017-09-06 | 2019-03-12 | 深圳市中兴微电子技术有限公司 | A kind of multi-beam transmission method, base station, terminal and storage medium |
WO2020029092A1 (en) * | 2018-08-07 | 2020-02-13 | 北京小米移动软件有限公司 | Information reporting method and apparatus, and terminal and storage medium |
CN111245492A (en) * | 2020-01-10 | 2020-06-05 | 北京邮电大学 | Joint beam training and intelligent reflecting surface selection method based on received power sequencing |
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