TY - GEN
T1 - On Stochastic Orders and Fading Gaussian Multi-User Channels with Statistical CSIT
AU - Lin, Pin Hsun
AU - Jorswieck, Eduard A.
AU - Janda, Carsten R.
AU - Mittelbach, Martin
AU - Schaefer, Rafael F.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - In this paper, ergodic capacities of fading Gaussian multi-user channels with only statistical channel state information at the transmitter are considered. The main contributions are twofold: First, we introduce a framework to classify random fading channels solely based on their joint distributions, such that we can construct equivalent channels in order to directly make use of existing capacity results. To attain this goal, we leverage three schemes: maximal coupling, coupling, and copulas in addition to the usual stochastic order with the same marginal property. Second, we apply the developed framework to Gaussian broadcast channels, Gaussian interference channels, and Gaussian wiretap channels to obtain novel capacity (region) results.
AB - In this paper, ergodic capacities of fading Gaussian multi-user channels with only statistical channel state information at the transmitter are considered. The main contributions are twofold: First, we introduce a framework to classify random fading channels solely based on their joint distributions, such that we can construct equivalent channels in order to directly make use of existing capacity results. To attain this goal, we leverage three schemes: maximal coupling, coupling, and copulas in addition to the usual stochastic order with the same marginal property. Second, we apply the developed framework to Gaussian broadcast channels, Gaussian interference channels, and Gaussian wiretap channels to obtain novel capacity (region) results.
UR - http://www.scopus.com/inward/record.url?scp=85073165106&partnerID=8YFLogxK
U2 - 10.1109/ISIT.2019.8849386
DO - 10.1109/ISIT.2019.8849386
M3 - Conference contribution
AN - SCOPUS:85073165106
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 1497
EP - 1501
BT - 2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Symposium on Information Theory, ISIT 2019
Y2 - 7 July 2019 through 12 July 2019
ER -