TY - GEN
T1 - Capacity theorems for multi-functioning radios
AU - Zhao, Yu
AU - Chen, Biao
PY - 2014
Y1 - 2014
N2 - We consider in this paper a system with multi-functioning radios: communication between nodes involve transmissions of both messages and source sequences. For point-to-point systems, this amounts to a simple trade-off between message transmission and source transmission: an optimal strategy is to split total capacity into two components, one for message transmission and one for source transmission as long as the message and the source sequence are independent of each other. For the multi-user case, we show that this is no longer the case by examining the simple problem of sending a common source sequence and two independent messages through a Gaussian broadcast channel.
AB - We consider in this paper a system with multi-functioning radios: communication between nodes involve transmissions of both messages and source sequences. For point-to-point systems, this amounts to a simple trade-off between message transmission and source transmission: an optimal strategy is to split total capacity into two components, one for message transmission and one for source transmission as long as the message and the source sequence are independent of each other. For the multi-user case, we show that this is no longer the case by examining the simple problem of sending a common source sequence and two independent messages through a Gaussian broadcast channel.
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U2 - 10.1109/ISIT.2014.6875265
DO - 10.1109/ISIT.2014.6875265
M3 - Conference contribution
AN - SCOPUS:84906542949
SN - 9781479951864
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 2406
EP - 2410
BT - 2014 IEEE International Symposium on Information Theory, ISIT 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Symposium on Information Theory, ISIT 2014
Y2 - 29 June 2014 through 4 July 2014
ER -