A multi-level design for dirty-paper coding with applications to the cognitive radio channel

Momin Uppal, Guosen Yue, Yan Xin, Xiaodong Wang, Zixiang Xiong

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

6 Citations (Scopus)


We propose a close-to-capacity dirty-paper coding framework which employs multi-level low density parity-check (LDPC) and trellis coded quantization. The proposed coding framework is robust in the sense that it performs close to capacity in the high as well as the low rate regimes. This is in contrast to existing practical DPC schemes which perform well at one of these regimes, but never both. In order to evaluate the performance of our scheme, we consider its application to a cognitive radio channel. At a block length of 2 × 10 5, the designed dirty-paper coding scheme operates within 0.95, 0.58 and 0.6 dB of the theoretical limit at transmission rates of 0.5, 1.0 and 1.5 bits/sample, respectively. As far as the authors are aware, this is the best performance reported in the literature so far.

Original languageEnglish
Title of host publication2011 IEEE Global Telecommunications Conference, GLOBECOM 2011
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages5
ISBN (Print)9781424492688
Publication statusPublished - 2011
Externally publishedYes
EventIEEE Global Telecommunications Conference 2011 - Houston, United States of America
Duration: 5 Dec 20119 Dec 2011
https://ieeexplore.ieee.org/xpl/conhome/6132211/proceeding (Proceedings)


ConferenceIEEE Global Telecommunications Conference 2011
Abbreviated titleIEEE GLOBECOM 2011
Country/TerritoryUnited States of America
Internet address

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