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Block diagonal geometric mean decomposition (BD-GMD) for MIMO broadcast channels
- Source :
- IEEE Transactions on Wireless Communications. 7:2778-2789
- Publication Year :
- 2008
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2008.
-
Abstract
- In recent years, the research on multiple-input multiple-output (MIMO) broadcast channels has attracted much interest, especially since the discovery of the broadcast channel capacity achievable through the use of dirty paper coding (DPC). In this paper, we propose a new matrix decomposition, called the block diagonal geometric mean decomposition (BD-GMD), and develop transceiver designs that combine DPC with BD- GMD for MIMO broadcast channels. We also extend the BD- GMD to the block diagonal uniform channel decomposition (BD- UCD) with which the MIMO broadcast channel capacity can be achieved. Our proposed schemes decompose each user's MIMO channel into parallel subchannels with identical SNRs/SINRs, thus equal-rate coding can be applied across the subchannels of each user. Numerical simulations show that the proposed schemes demonstrate superior performance over conventional schemes.
- Subjects :
- Block code
Applied Mathematics
MIMO
Block matrix
Signal-to-interference-plus-noise ratio
Data_CODINGANDINFORMATIONTHEORY
Computer Science Applications
Matrix decomposition
Channel capacity
Control theory
Telecommunications link
Computer Science::Networking and Internet Architecture
Dirty paper coding
Electrical and Electronic Engineering
Algorithm
Computer Science::Information Theory
Mathematics
Subjects
Details
- ISSN :
- 15361276
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Wireless Communications
- Accession number :
- edsair.doi...........f5a35b1d96347c49ebe96811869a70e4
- Full Text :
- https://doi.org/10.1109/twc.2008.070171