TY - GEN
T1 - Joint State Sensing and Communication
T2 - 2018 IEEE International Symposium on Information Theory, ISIT 2018
AU - Kobayashi, Mari
AU - Caire, Giuseppe
AU - Kramer, Gerhard
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/15
Y1 - 2018/8/15
N2 - Ahstract - A communication setup is considered where a transmitter wishes to simultaneously sense its channel state and convey a message to a receiver. The state is estimated at the transmitter by means of generalized feedback, i.e. a strictly causal channel output that is observed at the transmitter. The scenario is motivated by a joint radar and communication system where the radar and data applications share the same frequency band. For the case of a memoryless channel with i.i.d. state sequences, we characterize the capacity-distortion tradeoff, defined as the best achievable rate below which a message can be conveyed reliably while satisfying some distortion constraint on state sensing. An iterative algorithm is proposed to optimize the input probability distribution. Examples demonstrate the benefits of joint sensing and communication as compared to a separation-based approach.
AB - Ahstract - A communication setup is considered where a transmitter wishes to simultaneously sense its channel state and convey a message to a receiver. The state is estimated at the transmitter by means of generalized feedback, i.e. a strictly causal channel output that is observed at the transmitter. The scenario is motivated by a joint radar and communication system where the radar and data applications share the same frequency band. For the case of a memoryless channel with i.i.d. state sequences, we characterize the capacity-distortion tradeoff, defined as the best achievable rate below which a message can be conveyed reliably while satisfying some distortion constraint on state sensing. An iterative algorithm is proposed to optimize the input probability distribution. Examples demonstrate the benefits of joint sensing and communication as compared to a separation-based approach.
UR - https://www.scopus.com/pages/publications/85052446178
U2 - 10.1109/ISIT.2018.8437621
DO - 10.1109/ISIT.2018.8437621
M3 - Conference contribution
AN - SCOPUS:85052446178
SN - 9781538647806
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 111
EP - 115
BT - 2018 IEEE International Symposium on Information Theory, ISIT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 June 2018 through 22 June 2018
ER -