Elements of information theory
Elements of information theory
Error Control and Energy Consumption in Communications for Nomadic Computing
IEEE Transactions on Computers - Special issue on mobile computing
Theory of Information and Coding
Theory of Information and Coding
Energy-efficient packet transmission over a wireless link
IEEE/ACM Transactions on Networking (TON)
Dynamic Programming and Optimal Control, Vol. II
Dynamic Programming and Optimal Control, Vol. II
IEEE Transactions on Wireless Communications
POMDP-Based Coding Rate Adaptation for Type-I Hybrid ARQ Systems over Fading Channels with Memory
IEEE Transactions on Wireless Communications
Capacity of fading channels with channel side information
IEEE Transactions on Information Theory
Capacity of Markov channels with receiver CSI and delayed feedback
IEEE Transactions on Information Theory
Communication over fading channels with delay constraints
IEEE Transactions on Information Theory
Adaptive downlink scheduling and rate selection: a cross-layer design
IEEE Journal on Selected Areas in Communications
Saving mobile device energy with multipath TCP
MobiArch '11 Proceedings of the sixth international workshop on MobiArch
Real-time redundancy allocation for time-varying underwater acoustic channels
Proceedings of the Seventh ACM International Conference on Underwater Networks and Systems
Joint source and sending rate modeling in adaptive video streaming
Image Communication
Energy efficient transmission scheduling for non-stationary underwater acoustic channels
Proceedings of the Eighth ACM International Conference on Underwater Networks and Systems
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One of the main issues in the design of sensor networks is energy efficient communication of time-critical data. Energy wastage can be caused by failed packet transmission attempts at each node due to channel dynamics and interference. Therefore transmission control techniques that are unaware of the channel dynamics can lead to suboptimal channel use patterns. In this paper we propose a transmission controller that utilizes different "grades" of channel side information to schedule packet transmissions in an optimal way, while meeting a deadline constraint for all packets waiting in the transmission queue. The wireless channel is modeled as a finite-state Markov channel (FSMC). We are specifically interested in the case where the transmitter has low-grade channel side information that can be obtained based solely on the ACK/NAK sequence for the previous transmissions. Our scheduler is readily implementable and it is based on the dynamic programming solution to the finite-horizon transmission control problem. We also calculate the information theoretic capacity of the finite state Markov channel with feedback containing different grades of channel side information including that, obtained through the ACK/NAK sequence. We illustrate that our scheduler achieves a given throughput at a power level that is fairly close to the fundamental limit achievable over the channel.