Classifying-synthesizing transmission method of multi-user feedback information at base station
View Patent ↗A classifying-synthesizing transmission method of multi-user feedback information at a base station. At the base station, a classifier ( 554 ) classifies users into a plurality of kinds on the basis of different efficiencies at the time when the base station transmits information to the users. On the basis of the characteristics of synthetic data, a compressor ( 555 ) compresses the information synthesized, to reduce the quantity of information to be transmitted. A synthesizer ( 556 ) again synthesizes the compressed data of different user kinds. An encoder ( 557 ) adds redundant information to the feedback information to be transmitted. A transmitter ( 524 ) transmits the encoded feedback information to all users. As a result, the quantity of communication of a downward feedback channel can be drastically reduced to spare the use of radio resources.
1. A method of classifying, synthesizing and transmitting multi-user feedback information at a base station, the method comprising the steps of:
generating, for each of a plurality of users, a piece of feedback information;
making a plurality of user groups by classifying users according to a ratio of positive to negative feedback;
synthesizing, for each of the plurality of user groups, one or more pieces of feedback information, each of which is to be transmitted to a user belonging to the user group;
compressing each of the pieces of synthesized feedback information using a compression method based on characteristics of the synthesized feedback information;
re-synthesizing the compressed feedback information;
encoding the re-synthesized feedback information; and
transmitting the encoded re-synthesized feedback information to the users,
wherein a different compression method is used for each user group based on the respective ratio of positive to negative feedback of the user group.
2. The method according to claim 1 , wherein the users are further classified based on is transmission rates of the users, and users of the same transmission rate are one type.
3. The method according to claim 1 , wherein the users are further classified based on SNR values of user signals, and users in the same SNR value range are one type.
4. The method according to claim 1 , wherein the users are further classified based on Doppler shifts of the users, and users in the same Doppler shift range are one type.
5. The method according to claim 1 further comprising compressing the synthesized feedback information for each user group, using a different compression method according to characteristics of the synthesized feedback information.
6. The method according to claim 5 , wherein the compression method comprises a compression coding algorithm that shortens the length of information.
7. The method according to claim 1 , wherein the encoding is error correction coding.
8. The method according to claim 1 , wherein the feedback information is ACK/NACK information.
9. A base station that classifies, synthesizes, and transmits multi-user feedback information, the base station comprising:
a feedback information generator that generates, for each of a plurality of users, a piece of feedback information;
a classifier that makes a plurality of user groups by classifying users based on a ratio of positive to negative feedback;
a first synthesizer that generates synthesized feedback information, by synthesizing, for each of the plurality of user groups, one or more pieces of feedback information each of which is to be transmitted to a user belonging to the user group;
a compressor that generates compressed feedback information, by performing data compression on each of the pieces of synthesized feedback information using a compression method based on characteristics of the synthesized feedback information;
a second synthesizer that re-synthesizes the compressed feedback information;
an encoder that encodes the re-synthesized feedback information; and
a transmitter that transmits the encoded re-synthesized feedback information to the users, wherein a different coin ession method is used for each user group based on the respective ratio of positive to negative feedback of the user group.
10. The base station according to claim 9 , wherein the users are further classified based on transmission rates of users, and users of the same transmission rate are one type.
11. The base station according to claim 9 , wherein the users are further classified based on SNR values of user signals, and users in the same SNR value range are one type.
12. The base station according to claim 9 , wherein the users are further classified based on Doppler shifts of the users, and users in the same Doppler shift range are one type.
13. The base station according to claim 9 , wherein the compression method is a compression coding algorithm that shortens the length of information.
14. The base station according to claim 9 , wherein the feedback information is ACK/NACK information.