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  4. Practical Vector Dirty Paper Coding for MIMO Gaussian Broadcast Channels
 
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Practical Vector Dirty Paper Coding for MIMO Gaussian Broadcast Channels

Resource
IEEE Journal on Selected Areas in Communications 25 (7): 1345-1357
Journal
IEEE Journal on Selected Areas in Communications
Pages
1345-1357
Date Issued
2007-09
Author(s)
HSUAN-JUNG SU  
SHIH-CHUN LIN  
DOI
10.1109/JSAC.2007.070908
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-34548579000&doi=10.1109%2fJSAC.2007.070908&partnerID=40&md5=32531ee470400811cdf7950780cffef5
Abstract
Recently, the vector dirty paper coding (DPC) achievable rate region has been shown to be the capacity region of a multiple-input multiple-output Gaussian broadcast channel (MIMO GBC). With DPC, the multiuser interference noncausally known at the transmitter can be completely removed. In this paper, we present a vector DPC structure for MIMO GBC. It is a generalization of the single antenna superposition dirty paper coding for the scalar Gaussian dirty paper problem proposed by Bennatan et al. In a theoretical random code setting, this construction is shown to be able to achieve the promised rate performance of the MIMO GBC. We also implement it with existing vector quantizer and capacity-achieving channel coding. Combined with iterative decoding, a design example validates the effectiveness of our methods. © 2007 IEEE.
Subjects
Dirty paper coding; MIMO Gaussian broadcast channel; Side-information
Other Subjects
Broadcasting; Communication channels (information theory); Iterative decoding; Signal interference; Vector quantization; Dirty paper coding; MIMO Gaussian broadcast channel; Side-information; Signal encoding
Type
journal article

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