DocumentCode :
586213
Title :
Block Diagonal Inversion Precoding for MIMO Broadcast Channels
Author :
Godana, Bruhtesfa ; Ekman, Torbjörn ; Tesfamicael, Solomon
Author_Institution :
Dept. of Electron. & Telecommun., NTNU, Trondheim, Norway
fYear :
2012
fDate :
3-6 Sept. 2012
Firstpage :
1
Lastpage :
5
Abstract :
The sum capacity of a broadcast MIMO channel can be achieved sub-optimally using linear precoding techniques. Block diagonalization (BD) is a linear precoding technique that achieves near to the sum capacity with low complexity by nullifying the inter-user interference. However, one limitation of BD is that the equivalent channel after block diagonalization has to be communicated to the users using additional pilot symbols or a limited feedforward link. The former method increases the system overhead and the latter suffers from quantization error. Transmitter zero forcing may be an alternative but it has a high power enhancement. Besides, transmitter zero forcing lacks flexibility for use in multi-antenna users. In this paper, a new linear precoding technique called Block Diagonalization Inversion (BDI) is proposed. The proposed scheme avoids the need to communicate the equivalent channel by using a combination of block diagonalization and partial inversion of the equivalent channel at the transmitter. BDI enables per-stream power alloca- tion and adaptive modulation like BD; besides, BDI has a lower power enhancement than transmitter zero forcing. It is shown using simulations that BDI achieves a sum rate performance in-between an ideal BD and transmitter zero forcing. When a limited feedforward link is used with BD, it is demonstrated that BDI provides higher sum rate than BD.
Keywords :
MIMO communication; adaptive modulation; broadcast channels; feedforward; interference (signal); quantisation (signal); BDI; MIMO broadcast channels; adaptive modulation; block diagonal inversion precoding; feedforward link; inter-user interference; linear precoding; power allocation; quantization error; transmitter zero forcing; Downlink; Feedforward neural networks; MIMO; Resource management; Signal to noise ratio; Transmitters; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2012 IEEE
Conference_Location :
Quebec City, QC
ISSN :
1090-3038
Print_ISBN :
978-1-4673-1880-8
Electronic_ISBN :
1090-3038
Type :
conf
DOI :
10.1109/VTCFall.2012.6399135
Filename :
6399135
Link To Document :
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