CN104883397B - A kind of CoMP transmission method based on cloud computing - Google Patents
A kind of CoMP transmission method based on cloud computing Download PDFInfo
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- CN104883397B CN104883397B CN201510240303.5A CN201510240303A CN104883397B CN 104883397 B CN104883397 B CN 104883397B CN 201510240303 A CN201510240303 A CN 201510240303A CN 104883397 B CN104883397 B CN 104883397B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/06—Selective distribution of broadcast services, e.g. multimedia broadcast multicast service [MBMS]; Services to user groups; One-way selective calling services
- H04W4/10—Push-to-Talk [PTT] or Push-On-Call services
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- Mobile Radio Communication Systems (AREA)
Abstract
CoMP transmission method based on cloud computing of the invention judges the user for whether having cooperation cluster in adjacent sectors by cloud collaborative process center, and different user data processing schemes is executed according to judging result, it is effective to improve covering marginal user performance, reduce system interference and improve power system capacity.
Description
Technical field
The present invention relates to wireless communication field more particularly to a kind of CoMP transmission methods based on cloud computing.
Background technique
In recent years, with the development of mobile communication technology, although communication system has the tenability of radio communication service
Apparent raising, while there has also been higher expectations multimedia service of the user to high-speed, high quality.Therefore, next
In the research of third-generation mobile communication technology, spectrum efficiency, transmission rate, throughput of system and covering edge performance etc. are also mentioned
Higher requirement is gone out.
For covering edge customer, valid signal strengths are small, and it is strong to be simultaneously from adjacent sectors/sector interference signal
Degree is big, and which has limited the signal-to-noise ratio (SINR) of covering edge customer, leads to its throughput degradation, so that edge customer cannot expire
The service quality of meaning seriously constrains the raising of system performance and system fairness.Therefore, section AF panel becomes TD-
Urgent problem to be solved in LTE system.
Cooperative multi-point (CoMP) transmission technology can effectively improve covering marginal user performance, throughput of system be improved, close
Extensive concern and the research of industry are caused over year, and become the important research project of 3GPPLTE-Advanced standardization effort
One of.
Cloud computing technology is the cooperation computing newly risen in recent years, it is distributed computing, parallel computation, loads
The product that the traditional computers such as weighing apparatus are merged with network technology.Cloud computing technology is used for wireless network and also brings beneficial technology
Effect, such as the bottleneck of single site processing capacity is alleviated by multi-site collaborative process significantly.
Therefore, how to reduce system interference using above-mentioned technology and improve power system capacity is research emphasis of the invention.
Summary of the invention
The purpose of the present invention is what is be achieved through the following technical solutions.
Embodiment according to the present invention proposes a kind of CoMP transmission method based on cloud computing, and the method includes such as
Lower step：
A. current business sector and each adjacent sectors are obtained by the NodeB of current business sector and adjacent sectors respectively
Channel state information (CSI), and the CSI is reported to cloud collaborative process center；
B. cloud collaborative process center judges the user for whether having cooperation cluster in adjacent sectors；
C. if there are the user of cooperation cluster in adjacent sectors, the current business sector NodeB executes cooperation cluster user
Data processing scheme, to obtain the transmission data of specific user；
D. if adjacent sectors do not cooperate cluster user, the current business sector NodeB executes non-cooperating cluster
User data processing scheme, to obtain the transmission data of specific user.
The cloud collaborative process center of embodiment according to the present invention, the step B judges whether there is association in adjacent sectors
The user for making cluster specifically includes：
B1. cloud collaborative process center judge each adjacent sectors whether have cooperation cluster user, as long as have one it is adjacent
There is then feedback acknowledgment information in sector, and records the adjacent sectors identification code of cooperation cluster user, otherwise feedback letter unconfirmed
Breath；
B2. feedback result and sector id information are sent to current business sector NodeB by cloud collaborative process center, then
Specific user and real-time update are sent to by BCCH channel by current business sector NodeB；
Embodiment according to the present invention, the execution collaboration set group user's data processing scheme of the step C, to obtain spy
The transmission data for determining user specifically include：
C1. the inspection of the signal from current business sector and each adjacent sectors is obtained in the way of the CoMP that interference is eliminated
Survey signal；
C2. set division is carried out to the detection signal in step C1 from different sectors signal；
C3. the transmission data of specific user are obtained according to CSI and set division result.
Embodiment according to the present invention, the step C2's gathers the detection signal from different sectors signal
Division specifically includes：
C21. the signal and current business sector signals of the adjacent sectors for including cooperation cluster user are divided into effective letter
Number set in, do not include cooperate cluster user adjacent sectors signal assign in interference sector signal set；
C22. the signal in the set including useful signal is divided again, is drawn by received signal strength size
Point, the adjacent sectors signal that sector to be detected, that is, current business sector signal and signal strength are greater than threshold value is divided into
In the set for participating in CoMP and equal gain combination, remaining assign to is given up in set.
Embodiment according to the present invention, the execution non-cooperating cluster user data processing scheme of the step D, to obtain
The transmission data of specific user specifically include：
D1. set division, the set division side are carried out to the signal for being sent to different clusters from different sectors
Formula is that the set divided based on received signal strength size is divided；
D2. it according to the CSI of multiple sectors and set division result, is obtained by more sector CoMP modes of unit linear equalization
To the transmission data of specific user.
CoMP transmission method based on cloud computing of the invention by cloud collaborative process center judge in adjacent sectors whether
There is the user of cooperation cluster, and executes different user data processing schemes according to judging result, it is effective to improve covering edge
User performance reduces system interference and improves power system capacity.
Detailed description of the invention
By reading the following detailed description of the preferred embodiment, various other advantages and benefits are common for this field
Technical staff will become clear.The drawings are only for the purpose of illustrating a preferred embodiment, and is not considered as to the present invention
Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings：
Attached drawing 1 shows the CoMP transmission method flow diagram based on cloud computing of embodiment according to the present invention.
Specific embodiment
The illustrative embodiments of the disclosure are more fully described below with reference to accompanying drawings.Although showing this public affairs in attached drawing
The illustrative embodiments opened, it being understood, however, that may be realized in various forms the disclosure without the reality that should be illustrated here
The mode of applying is limited.It is to be able to thoroughly understand the disclosure on the contrary, providing these embodiments, and can be by this public affairs
The range opened is fully disclosed to those skilled in the art.
Embodiment according to the present invention proposes a kind of CoMP transmission method based on cloud computing, as shown in Fig. 1, institute
The method of stating includes the following steps：
A. current business sector and each adjacent sectors are obtained by the NodeB of current business sector and adjacent sectors respectively
Channel state information (CSI), and the CSI is reported to cloud collaborative process center；
B. cloud collaborative process center judges the user for whether having cooperation cluster in adjacent sectors；
C. if there are the user of cooperation cluster in adjacent sectors, the current business sector NodeB executes cooperation cluster user
Data processing scheme, to obtain the transmission data of specific user；
D. if adjacent sectors do not cooperate cluster user, the current business sector NodeB executes non-cooperating cluster
User data processing scheme, to obtain the transmission data of specific user.
Embodiment according to the present invention, the step A's is obtained by the NodeB of current business sector and adjacent sectors respectively
Current business sector and the CSI of each adjacent sectors is taken to specifically include：
A1. according to the square estimated value of the minimal error for receiving signal calculating pilot signal；
A2. according to present frame pilot signal CSI data and reserved deferred frame pilot signal CSI data in temporal interpolation, meter
Calculate the pilot matrix after being modulated；
A3. channel Doppler spread is estimated according to the square estimated value of pilot signal minimal error, is then expanded according to Doppler
Exhibition selection time domain channel filter factor, calculates time domain CSI value.
Embodiment according to the present invention, the step A1's is equal according to the minimal error for receiving signal calculating pilot signal
Square estimated value specifically includes：
A11.NodeB generates pilot signal pseudorandom sequence according to different pilot signal patterns, according to TD-LTE standard
Column；
A12. the square estimated value of the minimal error for pilot signal being calculated according to the signal received and the pilot signal of generation.
Embodiment according to the present invention, the step A2's postpones according to present frame pilot signal CSI data with reserved
Frame pilot signal CSI data are calculated the pilot matrix after modulating and specifically include in temporal interpolation：
A21. it is determined according to different antenna ports to pilot signal modulation system；
A22. within coherence time, the channel letter of actual pilot position is just estimated by minimal error first
Breath, then using the mode of linear interpolation according to the square estimated value of the minimal error of actual pilot position, interpolation meter in the time domain
Calculate the CSI of virtual pilot frequency position.
Embodiment according to the present invention, the step A3's believes according to the square estimated value estimation of pilot signal minimal error
Then road doppler spread selects time domain channel filter factor according to doppler spread, calculate time domain CSI value and specifically include：
A31. in the given time, estimate a Doppler shift；
A32. the sampling value of the mean intensity of the 5th symbol in each time slot as the mean intensity of this time slot is calculated, is led to
The relative size for crossing each intensity pole and left and right intensity pole judges whether this point is extreme point；
A33. compare the intensity difference between adjacent extreme point, if intensity difference is greater than threshold value, then it is assumed that be herein a wave crest
Or trough, think to be only herein floating caused by noise if being less than threshold value, is not counted in Doppler's fluctuation number；
A34. according to the number of Wave crest and wave trough in the subframe of statistics, the Doppler shift value close to this value is provided；Estimate
Gauge according to wave crest and trough number, and presets exemplary Doppler frequency offseting value, it is inclined therefrom to choose suitable frequency
Shifting value.
A34. according to the frequency offseting value of selection and channel time domain correlation matrix selection time domain channel filter factor, and according to
Time domain channel filter factor calculates time domain CSI.
The cloud collaborative process center of embodiment according to the present invention, the step B judges whether there is association in adjacent sectors
The user for making cluster specifically includes：
B1. cloud collaborative process center judge each adjacent sectors whether have cooperation cluster user, as long as have one it is adjacent
There is then feedback acknowledgment information in sector, and records the adjacent sectors identification code of cooperation cluster user, otherwise feedback letter unconfirmed
Breath；
B2. feedback result and sector id information are sent to current business sector NodeB by cloud collaborative process center, then
Specific user and real-time update are sent to by BCCH channel by current business sector NodeB；
Embodiment according to the present invention, the execution collaboration set group user's data processing scheme of the step C, to obtain spy
The transmission data for determining user specifically include：
C1. the inspection of the signal from current business sector and each adjacent sectors is obtained in the way of the CoMP that interference is eliminated
Survey signal；
C2. set division is carried out to the detection signal in step C1 from different sectors signal；
C3. the transmission data of specific user are obtained according to CSI and set division result.
Embodiment according to the present invention, the step C1's is obtained in the way of the CoMP of interference elimination from current industry
The detection signal of the signal of business sector and each adjacent sectors specifically includes：
C11. according to the channel code configuration information of current business sector and adjacent sectors, pass through the side of optimum linear filtering
Formula obtains the detection signal of the transmission signal from current business sector and each adjacent sectors；
C12. judge whether cycle-index exceeds maximum limitation, if it is export the detection of the transmission signal of each sector
Otherwise signal carries out step C13；
C13. it is recovered by the detection signal that sector each in CSI and C11 sends signal from each sector and receives signal response
Interference component, total signal that receives subtracts interference component, obtains the purified signal of the reception signal from each sector, will be from each
Input of the purified signal of the reception signal of sector as next step processing, goes to step C11.
Embodiment according to the present invention, the step C2's gathers the detection signal from different sectors signal
Division specifically includes：
C21. the signal and current business sector signals of the adjacent sectors for including cooperation cluster user are divided into effective letter
Number set in, do not include cooperate cluster user adjacent sectors signal assign in interference sector signal set；
C22. the signal in the set including useful signal is divided again, is drawn by received signal strength size
Point, the adjacent sectors signal that sector to be detected, that is, current business sector signal and signal strength are greater than threshold value is divided into
In the set for participating in CoMP and equal gain combination, remaining assign to is given up in set.
Embodiment according to the present invention, the step C3's obtains specific user's according to CSI and set division result
Transmission data specifically include：
C31. according to channel code configuration information and CSI, to each fan in the set for participating in CoMP and equal gain combination
The detection signal in area carries out the unit linear equalization CoMP of single sector respectively, and the specific user for obtaining these sectors transmits data；
C32. data are transmitted to the specific user of the obtained sector step C31 to obtain by the way of equal gain combination
Final specific user transmits data.
Embodiment according to the present invention, the unit linear equalization CoMP mode of single sector described in the step C31
It specifically includes：
C311. for the signal for participating in each sector in CoMP and the division of equal gain combination set, the sector is found
The activation cluster for including is obtained each activation cluster in the sector by the CSI and channel code configuration information of the sector
Equivalent CSI；
C312. the transmission matrix of activation cluster is constructed with the equivalent CSI of each cluster；
C313. according to transmission matrix, CoMP is carried out to the sector signals with the CoMP mode of unit linear equalization, is obtained
The specific user of the sector transmits data.
Embodiment according to the present invention, the execution non-cooperating cluster user data processing scheme of the step D, to obtain
The transmission data of specific user specifically include：
D1. set division, the set division side are carried out to the signal for being sent to different clusters from different sectors
Formula is that the set for being divided based on received signal strength size or spreading code channel correlation based on activation is divided；
D2. it according to the CSI of multiple sectors and set division result, is obtained by more sector CoMP modes of unit linear equalization
To the transmission data of specific user.
The set of embodiment according to the present invention, the step D1 divided based on received signal strength size divides packet
It includes：By the output of optimum linear filter as a result, obtain being sent to the equivalent CSI of each collection group congruences by CSI, estimate each
Collect the amplitude of group congruences；The collection group congruences that collection group congruences, that is, specific user's signal to be detected and amplitude are greater than threshold value are divided
Into the set for participating in CoMP, remaining collection group congruences are divided into interference collection group congruences；
The set based on activation spread spectrum code channel correlation, which divides, includes：By channel code configuration information, current industry
The CSI of business sector and each adjacent sectors obtains the equivalent CSI of each activation spread spectrum code channel, estimates between each activation spread spectrum code channel
Correlation, by collection group congruences to be detected, and spread spectrum code channel correlation is greater than the corresponding collection group congruences of threshold value and is divided into participation
During the set of CoMP divides, remaining collection group congruences are divided into interference collection group congruences.
More sector CoMP of embodiment according to the present invention, the unit linear equalization of the step D2 are specifically wrapped
It includes：
D21. by participate in CoMP set divide in collection group congruences, find the corresponding current business sector of each cluster or
The CSI of person adjacent sectors, then each activation cluster is obtained by channel code configuration information or spreads the equivalent CSI of code channel；
D22. the cluster for participating in CoMP or the transmission for spreading code channel are constructed with the equivalent CSI of each activation spread spectrum code channel
Matrix；
D23. according to transmission matrix, CoMP is carried out to total signal that receives with the CoMP mode of unit linear equalization, is obtained most
Whole specific user transmits data.
The channel code configuration information may include, but be not limited to, distinguish different clusters orthogonal variable spread spectrum because
Subcode and the pseudorandom sequence code for distinguishing different sectors；These channel code configuration informations be all by cloud collaborative process center into
The channelization code information of activation is sent to current business sector NodeB by line activating code detection processing, then by current business sector
NodeB is sent to specific user as system message by BCCH channel, and these channelization code informations can be with real-time update.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by anyone skilled in the art,
It should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention answers the protection model with claim
Subject to enclosing.
Claims (2)
1. a kind of CoMP transmission method based on cloud computing, described method includes following steps：
A. the channel of current business sector and each adjacent sectors is obtained by the NodeB of current business sector and adjacent sectors respectively
Status information (CSI), and the CSI is reported to cloud collaborative process center；It specifically includes：
A1. according to the square estimated value of the minimal error for receiving signal calculating pilot signal；
A2. it is calculated according to present frame pilot signal CSI data and reserved deferred frame pilot signal CSI data in temporal interpolation
Pilot matrix after to modulation；
A3. channel Doppler spread is estimated according to the square estimated value of pilot signal minimal error, is then selected according to doppler spread
Time domain channel filter factor is selected, time domain CSI value is calculated；
B. cloud collaborative process center judges the user for whether having cooperation cluster in adjacent sectors；It specifically includes：
B1. cloud collaborative process center judges whether each adjacent sectors have the user of cooperation cluster, as long as there is an adjacent sectors
There is then feedback acknowledgment information, and record the adjacent sectors identification code of cooperation cluster user, otherwise feeds back nonacknowledgement information；
B2. feedback result and sector id information are sent to current business sector NodeB by cloud collaborative process center, then by working as
Preceding business sector NodeB is sent to specific user and real-time update by BCCH channel；
C. if there are the user of cooperation cluster in adjacent sectors, the current business sector NodeB executes collaboration set group user's data
Processing scheme, to obtain the transmission data of specific user；It specifically includes：
C1. the detection that the signal from current business sector and each adjacent sectors is obtained in the way of the CoMP that interference is eliminated is believed
Number；
C2. set division is carried out to the detection signal in step C1 from different sectors signal；
C3. the transmission data of specific user are obtained according to CSI and set division result；
D. if adjacent sectors do not cooperate cluster user, the current business sector NodeB executes non-cooperating cluster user
Data processing scheme, to obtain the transmission data of specific user；It specifically includes：
D1. set division is carried out to the signal for being sent to different clusters from different sectors, the set division mode is
It is divided based on the set that received signal strength size divides；
D2. according to the CSI of multiple sectors and set division result, spy is obtained by more sector CoMP modes of unit linear equalization
Determine the transmission data of user.
2. a kind of the method as described in claim 1, the step C2's carries out the detection signal from different sectors signal
Set is divided and is specifically included：
C21. the signal and current business sector signals of the adjacent sectors for including cooperation cluster user are divided into useful signal
In set, the adjacent sectors signal for not including cooperation cluster user is assigned in interference sector signal set；
C22. the signal in the set including useful signal is divided again, is divided by received signal strength size,
The adjacent sectors signal that sector to be detected, that is, current business sector signal and signal strength are greater than threshold value is divided into participation
In the set of CoMP and equal gain combination, remaining assign to is given up in set.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101583194A (en) * | 2009-06-18 | 2009-11-18 | 清华大学 | Resource allocation method based on the cooperation between base stations of virtual subdistrict and system thereof |
| CN102014492A (en) * | 2009-09-04 | 2011-04-13 | 中国移动通信集团公司 | Cooperative multipoint communication system and method |
| CN102711189A (en) * | 2012-05-25 | 2012-10-03 | 中兴通讯股份有限公司 | Server for inter-cell multi-antenna cooperative processing, system and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101583194A (en) * | 2009-06-18 | 2009-11-18 | 清华大学 | Resource allocation method based on the cooperation between base stations of virtual subdistrict and system thereof |
| CN102014492A (en) * | 2009-09-04 | 2011-04-13 | 中国移动通信集团公司 | Cooperative multipoint communication system and method |
| CN102711189A (en) * | 2012-05-25 | 2012-10-03 | 中兴通讯股份有限公司 | Server for inter-cell multi-antenna cooperative processing, system and method |
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Denomination of invention: CoMP transmission method based on cloud computing Effective date of registration: 20190403 Granted publication date: 20181116 Pledgee: China Co. truction Bank Corp Guangzhou Liwan branch Pledgor: Guangzhou WeChat Communication Technology Co.,Ltd. Registration number: 2019440000134 |
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