DocumentCode
2022117
Title
Writing on Dirty Paper with Resizing and its Application to Quasi-Static Fading Broadcast Channels
Author
Wenyi Zhang ; Kotagiri, S. ; Laneman, J.N.
Author_Institution
Commun. Sci. Inst., Univ. of Southern California, Los Angeles, CA
fYear
2007
fDate
24-29 June 2007
Firstpage
381
Lastpage
385
Abstract
This paper studies a variant of the classical problem of "writing on dirty paper" in which the sum of the input and the interference, or dirt, is multiplied by a random variable that models resizing, known to the decoder but not to the encoder. The achievable rate of Costa\´s dirty paper coding (DPC) scheme is calculated and compared to the case of the decoder\´s also knowing the dirt. In the ergodic case, the corresponding rate loss vanishes asymptotically in the limits of both high and low signal-to-noise ratio (SNR), and is small at all finite SNR for typical distributions like Rayleigh, Rician, and Nakagami. In the quasi-static case, the DPC scheme is lossless at all SNR in terms of outage probability. Quasi-static fading broadcast channels (BC) without transmit channel state information (CSI) are investigated as an application of the robustness properties. It is shown that the DPC scheme leads to an outage achievable rate region that strictly dominates that of time division.
Keywords
broadcast channels; channel coding; decoding; fading channels; probability; decoding method; dirty paper coding scheme; outage probability; quasistatic fading broadcast channel; random variable; signal-to-noise ratio; transmit channel state information; Broadcasting; Decoding; Fading; Interference; Nakagami distribution; Random variables; Rayleigh channels; Rician channels; Signal to noise ratio; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2007. ISIT 2007. IEEE International Symposium on
Conference_Location
Nice
Print_ISBN
978-1-4244-1397-3
Type
conf
DOI
10.1109/ISIT.2007.4557255
Filename
4557255
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