TY - GEN
T1 - A generalized Ozarow-Wyner capacity bound with applications
AU - Dytso, Alex
AU - Goldenbaum, Mario
AU - Poor, H. Vincent
AU - Shitz, Shlomo Shamai
N1 - Funding Information:
This work was supported in part by the U. S. National Science Foundation under Grants CCF-1420575 and CNS-1456793, by the German Research Foundation under Grant GO 2669/1-1, and by the European Union’s Horizon 2020 Research And Innovation Programme, grant agreement no. 694630.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/8/9
Y1 - 2017/8/9
N2 - In this paper, a generalized Ozarow-Wyner capacity bound is presented that holds for arbitrary noise channels. The bound is then used to approximate the capacity of a large class of additive noise channels that are subject to a p-th moment input constraint, where p is some positive real number, as well as to the Cauchy noise channel with a logarithmic moment constraint. For both channel models the gap to the capacity is precisely specified.
AB - In this paper, a generalized Ozarow-Wyner capacity bound is presented that holds for arbitrary noise channels. The bound is then used to approximate the capacity of a large class of additive noise channels that are subject to a p-th moment input constraint, where p is some positive real number, as well as to the Cauchy noise channel with a logarithmic moment constraint. For both channel models the gap to the capacity is precisely specified.
KW - Additive noise channel
KW - Capacity approximation
KW - Cauchy noise
KW - Ozarow-Wyner bound
UR - http://www.scopus.com/inward/record.url?scp=85028509017&partnerID=8YFLogxK
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U2 - 10.1109/ISIT.2017.8006690
DO - 10.1109/ISIT.2017.8006690
M3 - Conference contribution
AN - SCOPUS:85028509017
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 1058
EP - 1062
BT - 2017 IEEE International Symposium on Information Theory, ISIT 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Symposium on Information Theory, ISIT 2017
Y2 - 25 June 2017 through 30 June 2017
ER -