TY - GEN
T1 - A cross-layer framework for joint control and distributed sensing in agile wireless networks
AU - Michelusi, Nicolò
AU - Mitra, Urbashi
PY - 2014
Y1 - 2014
N2 - In this paper, a cross-layer framework for joint control and distributed sensing in agile wireless networks is presented, where an agent schedules actions to control a partially observable Markov decision process, whose state is inferred by collecting measurements from nearby assistant wireless nodes with cognitive and sensing capabilities (ANs). The framework makes it possible to model practical constraints of wireless networks, such as the cost incurred by the ANs to sense and transmit to the agent and the shared wireless channel, as well as to jointly optimize the acquisition of state information at the agent via distributed sensing, and the scheduling policy, under sensing-transmission cost constraints for the ANs. The optimality of a two-stage decomposition is proved, which enables decoupling of the optimization of action scheduling and distributed sensing. This scheme is applied to spectrum sensing, where the activity of licensed (PU, primary) users is measured by distributed wireless assisting receivers, based on which an agile (SU, secondary) user adapts its transmissions over time. Simulation results demonstrate that the proposed adaptive joint sensing-scheduling policy improves the SU throughput up to 50% over a scheme employing non-adaptive sensing, for a given constraint on the throughput degradation to the PU pair and cost incurred by the ANs, and up to a three-fold increase over a scheme where sensing is performed only locally by the SU.
AB - In this paper, a cross-layer framework for joint control and distributed sensing in agile wireless networks is presented, where an agent schedules actions to control a partially observable Markov decision process, whose state is inferred by collecting measurements from nearby assistant wireless nodes with cognitive and sensing capabilities (ANs). The framework makes it possible to model practical constraints of wireless networks, such as the cost incurred by the ANs to sense and transmit to the agent and the shared wireless channel, as well as to jointly optimize the acquisition of state information at the agent via distributed sensing, and the scheduling policy, under sensing-transmission cost constraints for the ANs. The optimality of a two-stage decomposition is proved, which enables decoupling of the optimization of action scheduling and distributed sensing. This scheme is applied to spectrum sensing, where the activity of licensed (PU, primary) users is measured by distributed wireless assisting receivers, based on which an agile (SU, secondary) user adapts its transmissions over time. Simulation results demonstrate that the proposed adaptive joint sensing-scheduling policy improves the SU throughput up to 50% over a scheme employing non-adaptive sensing, for a given constraint on the throughput degradation to the PU pair and cost incurred by the ANs, and up to a three-fold increase over a scheme where sensing is performed only locally by the SU.
UR - http://www.scopus.com/inward/record.url?scp=84906571987&partnerID=8YFLogxK
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U2 - 10.1109/ISIT.2014.6875133
DO - 10.1109/ISIT.2014.6875133
M3 - Conference contribution
AN - SCOPUS:84906571987
SN - 9781479951864
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 1747
EP - 1751
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 -