CN103856253A - Limited feedback method based on user position information in multi-cell MIMO system - Google Patents

Limited feedback method based on user position information in multi-cell MIMO system Download PDF

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CN103856253A
CN103856253A CN201410059367.0A CN201410059367A CN103856253A CN 103856253 A CN103856253 A CN 103856253A CN 201410059367 A CN201410059367 A CN 201410059367A CN 103856253 A CN103856253 A CN 103856253A
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base station
user
signal
feedback
information
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吴雅婷
洪涛
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University of Shanghai for Science and Technology
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University of Shanghai for Science and Technology
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Abstract

The invention discloses a limited feedback method based on user position information in a multi-cell MIMO system. The limited feedback method includes the steps that first, a data table formed by the signal to noise ratios of interference signals and optimum feedback bit distribution coefficients (please see the formula in the specifications) corresponding to the signal to noise ratio ratios of the interference signals for different users in the multi-cell MIMO system is established; second, a pilot signal is sent to a user side through a cell base station, and the pilot signal and channel state information are received by the user side; third, a limited feedback codebook is acquired through geographical location information of the users and is an RVQ codebook; fourth, expected channel state information and adjacent interference channel state information are respectively quantized by the users on the basis of the limited feedback codebook (please see the formula in the specifications), and user feedback wave beam forming vectors are calculated; fifth, whether the users and the base station keep communication or not is judged, if the users and the base station keep communication, the fourth step is repeated till the users and the base station stop communication, or else the communication is ended. Through the method, the optimum feedback bit distribution scheme can be selected according to the geographical locations of the users, and thus the average data transmission rate of cells is improved.

Description

Limited feedback method based on customer position information in many cell mimos system
Technical field
The present invention relates to a kind of method of radio transmission technical field, specifically relate to the limited feedback method based on customer position information in a kind of many cell mimos system.
Background technology
On transmitter and receiver, use multiple-input and multiple-output (MIMO:Multiple-Input Multiple-Output) transmission means of many antennas, can increase reliability and the power system capacity of wireless communication system.
Existing limited feedback method is that limited channel condition information (CSI:Channel State Information) is fed back to transmitting terminal by receiving terminal in many cell mimos system, transmitting terminal carries out beam forming according to the channel condition information of receiving terminal feedback to transmitting, and reaches the effect of eliminating interchannel interference.The existing limited feedback method based on code book is: store respectively a common code book for design in advance at transmitting terminal and receiving terminal.Receiving terminal obtains channel information by training sequence mode, then from code book, selects best code word with certain criterion, and the codewords indexes of gained number is issued to transmitting terminal with a small amount of bit; Transmitting terminal is chosen corresponding code word to the codewords indexes of receiving number, chooses corresponding code word for beam forming.Become a part for IEEE 802.16e standard Limited Feedback technology in 2005.All formulated the code book of corresponding Limited Feedback at broadband wireless communication standards such as 3GPP LTE, IEEE802.11n.
In cell mobile communication systems, communication quality can be subject to the interference between neighbor cell, and especially when between user movement Dao Liangge community, it is more serious that user is subject to the interference meeting of neighbor cell.Multi-cell cooperating mimo system can solve problem above effectively, improves the communication quality of Cell Edge User, reduces system complexity simultaneously.In multi-cell cooperating MIMO cellular system, utilize Limited Feedback technology can improve power system capacity.The channel condition information feeding back in system, had both comprised the local channel state information of current place cellular downlink, also comprised the cross-channel state information of adjacent cell.Correlative study shows that the higher limit of throughput loss is relevant with number of bits of feedback, can make the higher limit minimum of throughput loss by Optimal Feedback scheme.
Literature search through prior art is found, Mohsen Eslami etc. are at Personal, Indoor and Mobile Radio Communications Workshops (PIMRC Workshops), 2010 IEEE 21st International Symposium(2010 26-30 in September days, 414-419 pages) in " the A Limited Feedback User-Location-Aware Network MIMO Coordination Scheme for Cellular Downlink " that deliver, propose a kind of at the limited feedback method based on customer position information, in the method, dispatch user according to the channel condition information of all user feedbacks and resource distribution base station, to realize maximum power system capacity, its weak point is: when the distance of user position and this cell base station is greater than time,
Figure 2014100593670100002DEST_PATH_IMAGE002
, wherein,
Figure 2014100593670100002DEST_PATH_IMAGE003
for the radius of community, the all channel condition informations of user feedback, all channel condition informations of its feedback comprise expects channel information and interference channel information, user can not determine feedback expectation channel information and the interference channel information ratio of shared feedback bandwidth separately according to the power of expecting channel signal and interference channel signal, can cause the waste of feedback resources, in the time that the distance of user position and this cell base station is less than, user is the channel condition information of sector, feedback user place only, can not eliminate neighbor cell and interference adjacent sectors, same community, meanwhile, also can cause Lot mean not high according to transmission rate.
Summary of the invention
The present invention is directed to the deficiencies in the prior art, limited feedback method based on customer position information in a kind of many cell mimos system has been proposed, the method is in the situation that feedback bits sum is given, can select best feedback bits allotment combination according to user geographic location, improve the average data transfer rate of community.
In order to achieve the above object, inventive concept of the present invention is that, according to given feedback bits sum, user selects best feedback bits allotment combination based on its geographical location information, and according to the combination of feedback bits allotment, limited information feedback is arrived to the base station in same community.
According to above-mentioned inventive concept, the present invention is achieved through the following technical solutions,
A limited feedback method based on customer position information in many cell mimos system, its concrete steps are as follows:
Step 1, set up in many cell mimos system by interference signal signal to noise ratio size and the corresponding best feedback bits allotment of this interference signal signal to noise ratio ,
Figure 2014100593670100002DEST_PATH_IMAGE005
the tables of data forming, stores database into;
Step 2, cell base station pilot signal transmitted are to user side, and user side receives pilot signal and channel condition information;
Step 3, utilize user's geographical location information from database, to select best feedback bits allotment combination, and set RVQ Limited Feedback code book by best feedback bits allotment combination ,
Figure 2014100593670100002DEST_PATH_IMAGE007
;
Step 4, user are based on RVQ Limited Feedback code book
Figure 978146DEST_PATH_IMAGE006
,, respectively to expecting channel condition information with near-by interference channel condition information quantize, then by the channel condition information after quantizing with
Figure 2014100593670100002DEST_PATH_IMAGE011
feed back to and expect base station;
Step 5, base station adopt user feedback to obtain
Figure DEST_PATH_IMAGE012
and adjacent base station
Figure 2014100593670100002DEST_PATH_IMAGE013
information transmission obtains
Figure DEST_PATH_IMAGE014
, compute beam shaping vector;
Step 6, judge between user and base station, whether to continue communication, if be to continue communication between user and base station, go to step three, until user stops communicate by letter with base station, otherwise finish to communicate by letter.
Described in above-mentioned steps one, set up users different in many cell mimos system by interference signal signal to noise ratio size and the corresponding best feedback bits allotment of this interference signal signal to noise ratio
Figure 583702DEST_PATH_IMAGE004
,
Figure 425756DEST_PATH_IMAGE005
the tables of data forming, stores database into, and it is specific as follows:
According to the feedback bits sum of system
Figure DEST_PATH_IMAGE015
, in given span, select different interference signal signal to noise ratios, the channel condition information vector using given training sequence as user and between expectation base station, is designated as
Figure DEST_PATH_IMAGE016
, the channel condition information vector using given training sequence as user and between adjacent base station, is designated as , travel through all feedback bits allotment combinations, by one group of feedback bits allotment combination of maximizing system overall data transmission rate, one combination is designated as
Figure 634014DEST_PATH_IMAGE004
,
Figure 448387DEST_PATH_IMAGE005
, will be by interference signal signal to noise ratio size and the corresponding each best feedback bits allotment of this interference signal signal to noise ratio
Figure 333166DEST_PATH_IMAGE004
,
Figure 600199DEST_PATH_IMAGE005
the data table stores forming is to database.
Calculate many cell mimos system overall data transmission rate, be designated as
Figure DEST_PATH_IMAGE018
, its calculating formula is:
Figure 2014100593670100002DEST_PATH_IMAGE019
Figure DEST_PATH_IMAGE020
(1)
Figure DEST_PATH_IMAGE022
In formula (1), be
Figure 2014100593670100002DEST_PATH_IMAGE023
the signal interference ratio SINR (Signal to Interference Plus Noise Ratio) of the received signal of user in individual community,
Figure DEST_PATH_IMAGE024
for the channel condition information vector between user and expectation base station
Figure 2014100593670100002DEST_PATH_IMAGE025
conjugate matrices,
Figure DEST_PATH_IMAGE026
be
Figure 502163DEST_PATH_IMAGE013
user in individual community closes on cooperative base station with it
Figure 233359DEST_PATH_IMAGE023
between letter state road information
Figure 2014100593670100002DEST_PATH_IMAGE027
conjugate matrices,
Figure 226723DEST_PATH_IMAGE027
by
Figure 794102DEST_PATH_IMAGE013
field feedback in individual community is to base station
Figure 531113DEST_PATH_IMAGE013
, then by base station
Figure 54499DEST_PATH_IMAGE013
feedback information exchanges to base station ,
Figure DEST_PATH_IMAGE028
,
Figure 2014100593670100002DEST_PATH_IMAGE029
for desired signal power,
Figure DEST_PATH_IMAGE030
for neighbor base station interfering signal power,
Figure 2014100593670100002DEST_PATH_IMAGE031
,
Figure DEST_PATH_IMAGE032
for additive noise power,
Figure 2014100593670100002DEST_PATH_IMAGE033
for base station
Figure 663652DEST_PATH_IMAGE023
the beam forming vector generating,
Compute beam shaping vector, its calculating formula is:
(2)
In formula (2),
Figure 2014100593670100002DEST_PATH_IMAGE035
for interference signal signal to noise ratio size,
Figure DEST_PATH_IMAGE036
be
Figure 748895DEST_PATH_IMAGE013
user in individual community closes on cooperative base station with it
Figure 454683DEST_PATH_IMAGE023
between letter state road information
Figure 789849DEST_PATH_IMAGE027
quantize and conjugate matrices,
Figure 2014100593670100002DEST_PATH_IMAGE037
for
Figure DEST_PATH_IMAGE038
unit matrix,
Figure 2014100593670100002DEST_PATH_IMAGE039
the number of antennas of base station,
Figure DEST_PATH_IMAGE040
for the channel condition information vector between the user after quantizing and expectation base station.
Channel condition information described in above-mentioned steps two refers to channel vector, and the each element in this channel vector is the channel fading coefficient of base station respective antenna to user side antenna.
The geographical location information that utilizes user described in above-mentioned steps three is selected best feedback bits allotment combination from database, and sets RVQ Limited Feedback code book by best feedback bits allotment combination
Figure 472951DEST_PATH_IMAGE006
,, it is specific as follows:
(1), utilize navigation positioning system (GPS) to record user and expect that the distance between base station is
Figure DEST_PATH_IMAGE042
, user and contiguous cooperative base station distance
Figure DEST_PATH_IMAGE044
, the desired signal power that obtains user and the ratio of interfering signal power that is subject to neighbor base station, this ratio, as user's geographical location information, is designated as
Figure DEST_PATH_IMAGE046
, its calculating formula is as follows:
Figure DEST_PATH_IMAGE048
(3)
In formula (3),
Figure DEST_PATH_IMAGE050
for the desired signal power of user from expecting that base station receives, for the power of neighbor base station interference signal,
Figure 846295DEST_PATH_IMAGE042
for user and expect distance between base station,
Figure 430991DEST_PATH_IMAGE044
and the communication distance between user and neighbor base station, for path fading index;
(2), by user's geographical location information
Figure 381630DEST_PATH_IMAGE046
with receiver user desired signal signal to noise ratio multiply each other, what it multiplied each other amasss as current interference signal signal to noise ratio, is designated as ;
(3), by current interference signal signal to noise ratio
Figure 621484DEST_PATH_IMAGE058
from the database described in above-mentioned steps one, select best feedback bits allotment by the size of its value, it is specific as follows: the interference signal signal to noise ratio size that database is provided successively with current interference signal signal to noise ratio
Figure 875398DEST_PATH_IMAGE058
subtract each other the corresponding feedback bits allotment combination of minimum value in its difference
Figure 296015DEST_PATH_IMAGE060
,
Figure DEST_PATH_IMAGE062
for best feedback bits allotment combination;
(4), according to above-mentioned best feedback bits allotment combination ,
Figure DEST_PATH_IMAGE063
, setting size is ,
Figure DEST_PATH_IMAGE067
rVQ Limited Feedback code book, be designated as
Figure DEST_PATH_IMAGE069
, .
user described in above-mentioned steps four is based on RVQ Limited Feedback code book
Figure DEST_PATH_IMAGE072
,
Figure 819717DEST_PATH_IMAGE073
, respectively to expecting channel condition information
Figure DEST_PATH_IMAGE075
with near-by interference channel condition information quantize, its quantizing process is designated as:
Figure DEST_PATH_IMAGE079
(4)
In formula (4),
Figure DEST_PATH_IMAGE081
represent channel information
Figure DEST_PATH_IMAGE083
quantification, the channel information after quantification is designated as
Figure DEST_PATH_IMAGE085
,
Figure DEST_PATH_IMAGE087
represent
Figure 433363DEST_PATH_IMAGE083
conjugate transpose,
Figure DEST_PATH_IMAGE089
for code book in code word,
Figure 719988DEST_PATH_IMAGE091
corresponding
Figure 781485DEST_PATH_IMAGE069
or
Figure 65836DEST_PATH_IMAGE071
.
Base station described in above-mentioned steps five adopts user feedback to obtain
Figure DEST_PATH_IMAGE093
and by adjacent base station
Figure DEST_PATH_IMAGE095
information transmission obtains
Figure DEST_PATH_IMAGE097
, the calculating formula of compute beam shaping vector is suc as formula (2):
Figure DEST_PATH_IMAGE099
(2)
Wherein,
Figure DEST_PATH_IMAGE101
for base station the beam forming vector generating,
Figure DEST_PATH_IMAGE105
for interference signal signal to noise ratio size,
Figure DEST_PATH_IMAGE107
be
Figure 163848DEST_PATH_IMAGE095
user in individual community closes on cooperative base station with it
Figure 254164DEST_PATH_IMAGE103
between letter state road information
Figure DEST_PATH_IMAGE109
conjugate matrices,
Figure 435747DEST_PATH_IMAGE111
for
Figure 438469DEST_PATH_IMAGE113
unit matrix,
Figure DEST_PATH_IMAGE114
for the channel condition information vector between user and expectation base station.
limited feedback method based on customer position information in many cell mimos system of the present invention compared with prior art, in many cell mimos system of given feedback bits sum, the method can be selected best feedback bits allotment combination according to user's positional information, improves the advantage of the community average transmission rate of system.
Brief description of the drawings
Fig. 1 is the schematic diagram of the cell communication systems of the embodiment of the present invention;
Fig. 2 is the limited feedback method flow chart based on customer position information in many cell mimos system of the present invention;
Fig. 3 is the feedback bits sum described in step 1
Figure DEST_PATH_IMAGE116
time disturbance Signal-to-Noise size under the table of corresponding best feedback bits allotment;
Fig. 4 is the comparison diagram that uses the message transmission rate in feedback method of the present invention, existing non-cooperative beam shaping feedback method, existing generalized character beamforming feedback method.
Embodiment
Below in conjunction with accompanying drawing, embodiments of the invention are done further and described in detail.
The present embodiment is to implement under prerequisite in technical solution of the present invention, provided detailed embodiment, operating process and experimental result, but protection scope of the present invention is not limited to following embodiment.
What the present embodiment related to is the limited feedback method based on customer position information in a kind of many cell mimos system, the system of the method is by multi-antenna base station, single antenna user side, wireless channel, Limited Feedback channel forms as shown in Figure 1, user in the method is according to given feedback bits sum, choose the feedback bits allotment combination of maximizing system overall data transmission rate based on its geographical location information as best feedback bits allotment combination, and combine according to feedback bits allotment, limited information feedback is arrived the base station in same community by user, as shown in Figure 2, concrete steps are as follows:
Step 1, according to the feedback bits sum of system
Figure 400609DEST_PATH_IMAGE118
, in given span, select different interference signal signal to noise ratios, the channel condition information vector using given training sequence as user and between expectation base station, is designated as
Figure 966719DEST_PATH_IMAGE120
, the channel condition information vector between user and adjacent base station, is designated as
Figure 268387DEST_PATH_IMAGE122
, travel through all feedback bits allotment combinations, by one group of feedback bits allotment combination of maximizing system overall data transmission rate, one combination is designated as
Figure 442011DEST_PATH_IMAGE060
,
Figure 829130DEST_PATH_IMAGE063
, as shown in Figure 3, will be by interference signal signal to noise ratio size and the corresponding each best feedback bits allotment of this interference signal signal to noise ratio
Figure 198931DEST_PATH_IMAGE060
,
Figure 151844DEST_PATH_IMAGE063
the data table stores forming arrives database,
Calculate many cell mimos system overall data transmission rate, be designated as
Figure 948899DEST_PATH_IMAGE124
, its calculating formula is:
Figure 557735DEST_PATH_IMAGE126
Figure 535487DEST_PATH_IMAGE128
(1)
Figure 546169DEST_PATH_IMAGE130
In formula (1),
Figure 514125DEST_PATH_IMAGE132
be
Figure DEST_PATH_IMAGE133
the signal interference ratio SINR (Signal to Interference Plus Noise Ratio) of the received signal of user in individual community,
Figure DEST_PATH_IMAGE135
for the channel condition information vector between user and expectation base station
Figure 672573DEST_PATH_IMAGE114
conjugate matrices,
Figure 197227DEST_PATH_IMAGE137
be
Figure 62415DEST_PATH_IMAGE095
user in individual community closes on cooperative base station with it
Figure 201272DEST_PATH_IMAGE103
between letter state road information
Figure 847017DEST_PATH_IMAGE109
conjugate matrices,
Figure 96733DEST_PATH_IMAGE109
by
Figure 82006DEST_PATH_IMAGE095
field feedback in individual community is to base station
Figure 204814DEST_PATH_IMAGE095
, then by base station feedback information exchanges to base station
Figure 328945DEST_PATH_IMAGE133
,
Figure 231042DEST_PATH_IMAGE139
,
Figure DEST_PATH_IMAGE141
for desired signal power,
Figure DEST_PATH_IMAGE143
for neighbor base station interfering signal power,
Figure DEST_PATH_IMAGE145
,
Figure DEST_PATH_IMAGE147
for additive noise power,
Figure 524751DEST_PATH_IMAGE101
for base station
Figure 879509DEST_PATH_IMAGE133
the beam forming vector generating,
Compute beam shaping vector, its calculating formula is:
Figure DEST_PATH_IMAGE149
(2)
In formula (2),
Figure 736607DEST_PATH_IMAGE105
for interference signal signal to noise ratio size,
Figure 241013DEST_PATH_IMAGE150
be
Figure 892574DEST_PATH_IMAGE095
user in individual community closes on cooperative base station with it
Figure 875573DEST_PATH_IMAGE151
between letter state road information
Figure DEST_PATH_IMAGE152
conjugate matrices,
Figure DEST_PATH_IMAGE153
for
Figure 83832DEST_PATH_IMAGE113
unit matrix,
Figure 694942DEST_PATH_IMAGE114
for the channel condition information vector between user and expectation base station,
At computer by training method in advance when generating database, training sequence
Figure 782984DEST_PATH_IMAGE120
with
Figure DEST_PATH_IMAGE154
correspond respectively in above-mentioned formula
Figure 863066DEST_PATH_IMAGE114
with
Figure DEST_PATH_IMAGE155
.
Figure DEST_PATH_IMAGE157
, unit is
Figure DEST_PATH_IMAGE159
.
After selected interference signal signal to noise ratio size, computer is according to feedback bits sum
Figure 124283DEST_PATH_IMAGE118
, choose one group of feedback bits allotment combination
Figure 527583DEST_PATH_IMAGE060
,
Figure 602505DEST_PATH_IMAGE062
, pass through
Figure 356834DEST_PATH_IMAGE060
with
Figure 93846DEST_PATH_IMAGE062
be channel condition information to training sequence respectively
Figure 679548DEST_PATH_IMAGE120
with
Figure 109393DEST_PATH_IMAGE154
quantize, generate
Figure 85439DEST_PATH_IMAGE093
with
Figure DEST_PATH_IMAGE161
, and substitution calculating formula (2) obtains beam forming vector , then bring formula (1) into and try to achieve system overall data transmission rate
Figure DEST_PATH_IMAGE162
.When having traveled through
Figure 144979DEST_PATH_IMAGE060
with all combinations after, find out all system overall data transmission rate of trying to achieve
Figure 209067DEST_PATH_IMAGE162
corresponding that group of middle maximum
Figure 287881DEST_PATH_IMAGE060
with
Figure 598908DEST_PATH_IMAGE062
value, reorganization value is exactly the corresponding best feedback bits allotment of selected interference signal signal to noise ratio size.Finally, by this group value
Figure 104976DEST_PATH_IMAGE060
with
Figure 321193DEST_PATH_IMAGE062
be recorded in lane database.
Feedback bits allotment described in above-mentioned steps one ,
Figure 618499DEST_PATH_IMAGE062
, be respectively and quantize the required bit number of channel condition information between user bit number, quantification user and the near-by interference base station required with expecting channel condition information between base station.Wherein, expect that base station is the base station that belongs to same community with user, near-by interference base station is the base station in the community adjacent with community, user place. ,
Figure 812032DEST_PATH_IMAGE062
with feedback bits sum meet
Figure DEST_PATH_IMAGE164
;
Step 2, cell base station pilot signal transmitted are to user side, and user side receives pilot signal and channel condition information,
Described channel condition information refers to channel vector, and the each element in this channel vector is the channel fading coefficient of base station respective antenna to user side antenna.
Step 3: utilize user's geographical location information to select best feedback bits allotment combination from database, and set RVQ Limited Feedback code book by best feedback bits allotment combination
Figure 767535DEST_PATH_IMAGE072
,
Figure 300891DEST_PATH_IMAGE073
, it is specific as follows:
(1), utilize navigation positioning system (GPS) to record user and expect that the distance between base station is
Figure 226122DEST_PATH_IMAGE042
, user and contiguous cooperative base station distance
Figure 450430DEST_PATH_IMAGE044
, the desired signal power that obtains user and the ratio of interfering signal power that is subject to neighbor base station, this ratio, as user's geographical location information, is designated as
Figure 839823DEST_PATH_IMAGE046
, its calculating formula is as follows:
Figure DEST_PATH_IMAGE166
(3)
In formula (3),
Figure 124174DEST_PATH_IMAGE050
for the desired signal power of user from expecting that base station receives,
Figure 349750DEST_PATH_IMAGE052
for the power of neighbor base station interference signal,
Figure 112170DEST_PATH_IMAGE042
for user and expect distance between base station, and the communication distance between user and neighbor base station,
Figure 811321DEST_PATH_IMAGE167
for path fading index;
(2), by user's geographical location information with receiver user desired signal signal to noise ratio
Figure 277255DEST_PATH_IMAGE056
multiply each other, what it multiplied each other amasss is, calculates current interference signal signal to noise ratio, is designated as
Figure 126393DEST_PATH_IMAGE058
;
(3), by current interference signal signal to noise ratio
Figure 752546DEST_PATH_IMAGE058
from the database described in above-mentioned steps one, select best feedback bits allotment by the size of its value, the interference signal signal to noise ratio size that database is provided successively with current interference signal signal to noise ratio
Figure 139665DEST_PATH_IMAGE058
subtract each other the corresponding feedback bits allotment of minimum value in its difference
Figure 306205DEST_PATH_IMAGE060
,
Figure DEST_PATH_IMAGE168
for best feedback bits allotment;
(4), according to above-mentioned best feedback bits allotment combination
Figure 462379DEST_PATH_IMAGE060
,
Figure 899632DEST_PATH_IMAGE168
, setting size is
Figure 508468DEST_PATH_IMAGE169
, rVQ Limited Feedback code book, be designated as
Figure 754958DEST_PATH_IMAGE069
,
Figure 722914DEST_PATH_IMAGE071
.
Step 4: user is based on RVQ Limited Feedback code book
Figure 819046DEST_PATH_IMAGE069
,
Figure 78120DEST_PATH_IMAGE071
, respectively to expecting channel condition information
Figure 208888DEST_PATH_IMAGE114
with near-by interference channel condition information
Figure 410062DEST_PATH_IMAGE171
quantize, its quantizing process is designated as:
(4)
In formula (4),
Figure 243206DEST_PATH_IMAGE174
represent channel information
Figure DEST_PATH_IMAGE175
quantification, the channel information after quantification is designated as
Figure 41528DEST_PATH_IMAGE085
,
Figure 351287DEST_PATH_IMAGE176
represent
Figure 484328DEST_PATH_IMAGE175
conjugate transpose,
Figure DEST_PATH_IMAGE177
for code book
Figure 537735DEST_PATH_IMAGE091
in code word,
Figure 190564DEST_PATH_IMAGE091
corresponding
Figure 671224DEST_PATH_IMAGE069
or
Figure 963665DEST_PATH_IMAGE071
.
Step 5, base station adopt user feedback to obtain
Figure 883080DEST_PATH_IMAGE093
and by adjacent base station
Figure 577366DEST_PATH_IMAGE095
information transmission obtains
Figure 228927DEST_PATH_IMAGE097
, compute beam shaping vector;
Described base station adopts user feedback to obtain and by adjacent base station
Figure 479573DEST_PATH_IMAGE095
information transmission obtains
Figure 28366DEST_PATH_IMAGE097
, the calculating formula of compute beam shaping vector is suc as formula (2):
Figure DEST_PATH_IMAGE179
(2)
Wherein,
Figure 178724DEST_PATH_IMAGE101
for base station
Figure 445757DEST_PATH_IMAGE103
the beam forming vector generating,
Figure 192128DEST_PATH_IMAGE105
for interference signal signal to noise ratio size,
Figure DEST_PATH_IMAGE181
be
Figure 861006DEST_PATH_IMAGE095
user in individual community closes on cooperative base station with it
Figure 182266DEST_PATH_IMAGE103
between letter state road information
Figure DEST_PATH_IMAGE182
conjugate matrices,
Figure DEST_PATH_IMAGE184
for
Figure DEST_PATH_IMAGE186
unit matrix,
Figure 484066DEST_PATH_IMAGE114
for the channel condition information vector between user and expectation base station.
Step 6, judge between user and base station, whether to continue communication, if be to continue communication between user and base station, go to step three, until user stops communicate by letter with base station, otherwise finish to communicate by letter.
In order to verify the message transmission rate effect that uses method of the present invention, provide respectively the data transmission performance comparative result of feedback method of the present invention and existing non-cooperative beam shaping feedback method, existing generalized character beamforming feedback method.In Fig. 4, the size of feedback code book is 8 bit, and abscissa is
Figure DEST_PATH_IMAGE188
,
Figure DEST_PATH_IMAGE190
for desired signal power and the ratio of neighbor base station interfering signal power, i.e. geographical location information,
Figure DEST_PATH_IMAGE192
for signal to noise ratio (SNR:Signal to Noise Ratio), the average data transfer rate that ordinate is single subdistrict.Represent the average data transfer rate curve of existing non-cooperative beam shaping feedback method with square curve, represent the average data transfer rate curve of existing generalized character beamforming feedback method with triangle curve, represent the message transmission rate of method of the present invention with the curve at circular place.As can be seen from Figure 4, under same case, the average data transfer rate of existing non-cooperative beam shaping feedback method is minimum, and existing generalized character beamforming feedback method is taken second place, and the average data transfer rate of the feedback method that the present invention proposes is the highest.

Claims (6)

1. the limited feedback method based on customer position information in cell mimo system more than a kind, it is characterized in that, the method is according to given feedback bits sum, user selects best feedback bits allotment combination based on its geographical location information, and combine according to feedback bits allotment, limited information feedback is arrived to the base station in same community, and its concrete steps are as follows:
Step 1, set up in many cell mimos system by interference signal signal to noise ratio size and the corresponding best feedback bits allotment of this interference signal signal to noise ratio ,
Figure 563228DEST_PATH_IMAGE002
the tables of data forming, stores database into;
Step 2, cell base station pilot signal transmitted are to user side, and user side receives pilot signal and channel condition information;
Step 3, utilize user's geographical location information from database, to select best feedback bits allotment combination, and set RVQ Limited Feedback code book by best feedback bits allotment combination ;
Step 4, user are based on RVQ Limited Feedback code book ,
Figure 54886DEST_PATH_IMAGE005
, respectively to expecting channel condition information
Figure 645137DEST_PATH_IMAGE006
with near-by interference channel condition information
Figure 904080DEST_PATH_IMAGE007
quantize, then by the channel condition information after quantizing
Figure 658409DEST_PATH_IMAGE008
with
Figure 333104DEST_PATH_IMAGE009
feed back to and expect base station;
Step 5, base station adopt user feedback to obtain
Figure 856489DEST_PATH_IMAGE008
and adjacent base station
Figure 286333DEST_PATH_IMAGE010
information transmission obtains
Figure 262380DEST_PATH_IMAGE011
, compute beam shaping vector;
Step 6, judge between user and base station, whether to continue communication, if be to continue communication between user and base station, go to step three, until user stops communicate by letter with base station, otherwise finish to communicate by letter.
2. the limited feedback method based on customer position information in a kind of many cell mimos system according to claim 1, it is characterized in that setting up in many cell mimos system by interference signal signal to noise ratio size and the corresponding best feedback bits allotment of this interference signal signal to noise ratio described in above-mentioned steps one ,
Figure 134969DEST_PATH_IMAGE013
the tables of data forming, stores database into, and it is specific as follows:
According to the feedback bits sum of system
Figure 470135DEST_PATH_IMAGE014
, in given span, select different interference signal signal to noise ratios, the channel condition information vector using given training sequence as user and between expectation base station, is designated as
Figure 136740DEST_PATH_IMAGE015
, the channel condition information vector using given training sequence as user and between adjacent base station, is designated as
Figure 215554DEST_PATH_IMAGE016
, travel through all feedback bits allotment combinations, by one group of feedback bits allotment combination of maximizing system overall data transmission rate, one combination is designated as
Figure 713532DEST_PATH_IMAGE012
,
Figure 406550DEST_PATH_IMAGE013
, will be by interference signal signal to noise ratio size and the corresponding each best feedback bits allotment of this interference signal signal to noise ratio
Figure 622768DEST_PATH_IMAGE012
,
Figure 505273DEST_PATH_IMAGE013
the data table stores forming is to database;
Calculate many cell mimos system overall data transmission rate, be designated as
Figure 795440DEST_PATH_IMAGE017
, its calculating formula is:
Figure 737989DEST_PATH_IMAGE018
Figure 175923DEST_PATH_IMAGE019
(1)
Figure 282026DEST_PATH_IMAGE020
In formula (1),
Figure 754596DEST_PATH_IMAGE021
be
Figure 602466DEST_PATH_IMAGE022
the signal interference ratio SINR (Signal to Interference Plus Noise Ratio) of the received signal of user in individual community,
Figure 465380DEST_PATH_IMAGE023
for the channel condition information vector between user and expectation base station
Figure 689688DEST_PATH_IMAGE006
conjugate matrices, be
Figure 301115DEST_PATH_IMAGE010
user in individual community closes on cooperative base station with it
Figure 900592DEST_PATH_IMAGE025
between letter state road information conjugate matrices,
Figure 844594DEST_PATH_IMAGE026
by
Figure 237530DEST_PATH_IMAGE010
field feedback in individual community is to base station
Figure 137353DEST_PATH_IMAGE010
, then by base station
Figure 703463DEST_PATH_IMAGE010
feedback information exchanges to base station
Figure 365651DEST_PATH_IMAGE022
,
Figure 991804DEST_PATH_IMAGE027
,
Figure 378923DEST_PATH_IMAGE028
for desired signal power,
Figure 670096DEST_PATH_IMAGE029
for neighbor base station interfering signal power,
Figure 826271DEST_PATH_IMAGE030
, for additive noise power,
Figure 169845DEST_PATH_IMAGE032
for base station
Figure 343337DEST_PATH_IMAGE022
the beam forming vector generating,
Compute beam shaping vector, its calculating formula is:
Figure 354018DEST_PATH_IMAGE033
(2)
In formula (2), for interference signal signal to noise ratio size,
Figure 109452DEST_PATH_IMAGE035
be user in individual community closes on cooperative base station with it
Figure 623927DEST_PATH_IMAGE036
between letter state road information
Figure 762784DEST_PATH_IMAGE037
quantize and
Figure 346212DEST_PATH_IMAGE038
conjugate matrices,
Figure 782878DEST_PATH_IMAGE039
for
Figure 768152DEST_PATH_IMAGE040
unit matrix,
Figure 77911DEST_PATH_IMAGE041
the number of antennas of base station,
Figure 86318DEST_PATH_IMAGE042
for the channel condition information vector between the user after quantizing and expectation base station.
3. the limited feedback method based on customer position information in a kind of many cell mimos system according to claim 1, it is characterized in that, channel condition information described in above-mentioned steps two refers to channel vector, and the each element in this channel vector is the channel fading coefficient of base station respective antenna to user side antenna.
4. the limited feedback method based on customer position information in a kind of many cell mimos system according to claim 1, it is characterized in that, the geographical location information that utilizes user described in above-mentioned steps three is selected best feedback bits allotment combination from database, and sets RVQ Limited Feedback code book by best feedback bits allotment combination
Figure 139724DEST_PATH_IMAGE004
,
Figure 979505DEST_PATH_IMAGE005
, it is specific as follows:
(1), utilize navigation positioning system (GPS) to record user and expect that the distance between base station is
Figure 460164DEST_PATH_IMAGE043
, user and contiguous cooperative base station distance
Figure 441021DEST_PATH_IMAGE044
, the desired signal power that obtains user and the ratio of interfering signal power that is subject to neighbor base station, this ratio, as user's geographical location information, is designated as
Figure 298119DEST_PATH_IMAGE045
, its calculating formula is as follows;
Figure 992405DEST_PATH_IMAGE046
(3)
In formula (3),
Figure DEST_PATH_IMAGE047
for the desired signal power of user from expecting that base station receives,
Figure 581649DEST_PATH_IMAGE048
for the power of neighbor base station interference signal, for user and expect distance between base station,
Figure 209126DEST_PATH_IMAGE044
and the communication distance between user and neighbor base station,
Figure 757919DEST_PATH_IMAGE049
for path fading index;
(2), by user's geographical location information
Figure 845960DEST_PATH_IMAGE045
with receiver user desired signal signal to noise ratio
Figure 50677DEST_PATH_IMAGE050
multiply each other, what it multiplied each other amasss as current interference signal signal to noise ratio, is designated as ;
(3), by current interference signal signal to noise ratio
Figure 983998DEST_PATH_IMAGE051
from the database described in above-mentioned steps one, select best feedback bits allotment by the size of its value, it is specific as follows: the interference signal signal to noise ratio size that database is provided successively with current interference signal signal to noise ratio subtract each other the corresponding feedback bits allotment combination of minimum value in its difference
Figure 597305DEST_PATH_IMAGE012
,
Figure 86056DEST_PATH_IMAGE013
for best feedback bits allotment combination;
(4), according to above-mentioned best feedback bits allotment combination
Figure 26330DEST_PATH_IMAGE012
,
Figure 549715DEST_PATH_IMAGE013
, setting size is
Figure 713980DEST_PATH_IMAGE052
,
Figure DEST_PATH_IMAGE053
rVQ Limited Feedback code book, be designated as
Figure 142556DEST_PATH_IMAGE004
, .
5. the limited feedback method based on customer position information in a kind of many cell mimos system according to claim 1, is characterized in that, the user described in above-mentioned steps four is based on RVQ Limited Feedback code book
Figure 61151DEST_PATH_IMAGE004
,
Figure 599579DEST_PATH_IMAGE005
, respectively to expecting channel condition information
Figure 62922DEST_PATH_IMAGE006
with near-by interference channel condition information
Figure 95731DEST_PATH_IMAGE054
quantize, its quantizing process is designated as:
Figure 593708DEST_PATH_IMAGE055
(4)
In formula (4),
Figure 99776DEST_PATH_IMAGE056
represent channel information quantification, the channel information after quantification is designated as
Figure 136182DEST_PATH_IMAGE058
,
Figure 675617DEST_PATH_IMAGE059
represent
Figure 352586DEST_PATH_IMAGE057
conjugate transpose,
Figure 790520DEST_PATH_IMAGE060
for code book in code word,
Figure 621390DEST_PATH_IMAGE061
corresponding or
Figure 363134DEST_PATH_IMAGE063
.
6. the limited feedback method based on customer position information in a kind of many cell mimos system according to claim 1, is characterized in that, the base station described in above-mentioned steps five adopts user feedback to obtain
Figure 587442DEST_PATH_IMAGE008
and by adjacent base station
Figure 914519DEST_PATH_IMAGE010
information transmission obtains
Figure 136552DEST_PATH_IMAGE011
, the calculating formula of compute beam shaping vector is suc as formula (2):
(2)
Wherein,
Figure 311499DEST_PATH_IMAGE065
for base station
Figure 680032DEST_PATH_IMAGE025
the beam forming vector generating,
Figure 135284DEST_PATH_IMAGE034
for interference signal signal to noise ratio size,
Figure 35107DEST_PATH_IMAGE066
be
Figure 538901DEST_PATH_IMAGE010
user in individual community closes on cooperative base station with it
Figure 574990DEST_PATH_IMAGE025
between letter state road information
Figure 201143DEST_PATH_IMAGE067
conjugate matrices, for
Figure 380900DEST_PATH_IMAGE040
unit matrix, for the channel condition information vector between user and expectation base station.
CN201410059367.0A 2014-02-21 2014-02-21 Limited feedback method based on user position information in multi-cell MIMO system Pending CN103856253A (en)

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Cited By (3)

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Publication number Priority date Publication date Assignee Title
CN108494448A (en) * 2018-02-05 2018-09-04 西安电子科技大学昆山创新研究院 The Massive MIMO user choosing methods of location information auxiliary
CN109716686A (en) * 2016-09-23 2019-05-03 瑞典爱立信有限公司 For providing the method and apparatus of channel state information state by transceiver
CN110933004A (en) * 2020-02-14 2020-03-27 南京邮电大学 Random channel quantization method based on confidence degree and confidence interval

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
吴雅婷，洪涛: ""多小区协作MIMO多模式有限反馈技术"", 《中国科技论文在线》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109716686A (en) * 2016-09-23 2019-05-03 瑞典爱立信有限公司 For providing the method and apparatus of channel state information state by transceiver
CN109716686B (en) * 2016-09-23 2022-03-04 瑞典爱立信有限公司 Method and apparatus for providing channel state information state by a transceiver
CN108494448A (en) * 2018-02-05 2018-09-04 西安电子科技大学昆山创新研究院 The Massive MIMO user choosing methods of location information auxiliary
CN108494448B (en) * 2018-02-05 2021-08-17 西安电子科技大学昆山创新研究院 Positioning information assisted Massive MIMO user selection method
CN110933004A (en) * 2020-02-14 2020-03-27 南京邮电大学 Random channel quantization method based on confidence degree and confidence interval
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