TY - GEN
T1 - The impact of independence assumptions on wireless communication analysis
AU - Biglieri, Ezio
AU - Lai, I. Wei
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/10
Y1 - 2016/8/10
N2 - We consider some problems arising when a wireless communication system performance must be assessed in the presence of model uncertainties due to poorly known or unknown dependences of the random variables used to model the channel. We argue that performance bounds based on probability boxes can measure the extent of uncertainty caused by inaccurate models.
AB - We consider some problems arising when a wireless communication system performance must be assessed in the presence of model uncertainties due to poorly known or unknown dependences of the random variables used to model the channel. We argue that performance bounds based on probability boxes can measure the extent of uncertainty caused by inaccurate models.
UR - http://www.scopus.com/inward/record.url?scp=84985994098&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84985994098&partnerID=8YFLogxK
U2 - 10.1109/ISIT.2016.7541686
DO - 10.1109/ISIT.2016.7541686
M3 - Conference contribution
AN - SCOPUS:84985994098
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 2184
EP - 2188
BT - Proceedings - ISIT 2016; 2016 IEEE International Symposium on Information Theory
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Symposium on Information Theory, ISIT 2016
Y2 - 10 July 2016 through 15 July 2016
ER -