TY - GEN
T1 - Coordination in state-dependent distributed networks
T2 - IEEE International Symposium on Information Theory, ISIT 2015
AU - Larrousse, Benjamin
AU - Lasaulce, Samson
AU - Wigger, Michele
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/28
Y1 - 2015/9/28
N2 - This paper addresses a coordination problem between two agents (Agents 1 and 2) in the presence of a noisy communication channel which depends on an external system state x0,t. The channel takes as inputs both agents' actions, x1,t and x2,t and produces outputs that are observed strictly causally at Agent 2 but not at Agent 1. The system state is available either causally or non-causally at Agent 1 but unknown at Agent 2. Necessary and sufficient conditions on a joint distribution Q(x0, x1, x2) to be implementable asymptotically (i.e, when the number of taken actions grows large) are provided for both causal and non-causal state information at Agent 1.
AB - This paper addresses a coordination problem between two agents (Agents 1 and 2) in the presence of a noisy communication channel which depends on an external system state x0,t. The channel takes as inputs both agents' actions, x1,t and x2,t and produces outputs that are observed strictly causally at Agent 2 but not at Agent 1. The system state is available either causally or non-causally at Agent 1 but unknown at Agent 2. Necessary and sufficient conditions on a joint distribution Q(x0, x1, x2) to be implementable asymptotically (i.e, when the number of taken actions grows large) are provided for both causal and non-causal state information at Agent 1.
U2 - 10.1109/ISIT.2015.7282601
DO - 10.1109/ISIT.2015.7282601
M3 - Conference contribution
AN - SCOPUS:84969807979
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 979
EP - 983
BT - Proceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 14 June 2015 through 19 June 2015
ER -