Online maximizing weighted throughput in a fading channel
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
Online maximizing weighted throughput in a fading channel
INFOCOM'09 Proceedings of the 28th IEEE international conference on Computer Communications Workshops
Performance analysis of wireless hybrid-ARQ systems with delay-sensitive traffic
IEEE Transactions on Communications
Real-time redundancy allocation for time-varying underwater acoustic channels
Proceedings of the Seventh ACM International Conference on Underwater Networks and Systems
Energy efficient transmission scheduling for non-stationary underwater acoustic channels
Proceedings of the Eighth ACM International Conference on Underwater Networks and Systems
Attention allocation for decision making queues
Automatica (Journal of IFAC)
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We study energy-efficient transmission of data with deadline constraints over a time-varying channel. Specifically, the system model consists of a wireless transmitter with controllable transmission rate, time-varying and stochastic channel state, and strict delay constraints on the packets in the queue. While the transmitter can control the rate, the transmission power required depends on the chosen rate and the prevailing channel condition. The objective is to obtain a rate control policy that serves the data within the deadline constraints while minimizing the total energy expenditure. Toward this end, we first introduce the canonical problem of transmitting B units of data by deadline T over a Markov fading channel, and obtain the optimal policy for it using continuous-time stochastic control theory. Using a novel cumulative curves methodology and a decomposition approach, we extend the above setup to consider extensions involving variable deadlines on the packets. Finally, utilizing the analysis we present a heuristic policy for the case of arbitrary packet arrivals to the queue with individual deadline constraints, and give illustrative simulation results for its performance.