Transmission and feedback strategies for energy harvesting wireless communication systems. (Stratégies de transmission et feedback pour les systèmes de communication sans-fil à récupération de l'énergie)

Over the last decade, we have witnessed a rapid growth in the number of communication devices, and this trend is expected to continue as the key technologies such as Internet of Things (IoT), wearable devices, are shaping the future of information and communication technology (ICT) industry. This growth has resulted in a tremendous increase in the energy demand, and hence the carbon footprint of the ICT ecosystem can no longer be ignored. Additionally, in traditional battery powered communication systems where energy infrastructure is not available after deployment, the limited available energy in the battery becomes the bottleneck as it determines the network lifetime. Powering up nodes with ambient energy sources, thanks to the energy harvesting technology, not only reduces the carbon footprint of ICT sector but also increases the autonomy of battery powered communication networks. An energy harvesting node can scavenge energy from the surrounding environment (typical sources are solar, wind, vibration, thermal, etc.). However, time varying nature of the ambient energy makes the design of communication strategies quite different from the traditional communication systems. Besides energy harvesting, higher throughput can be obtained in a wireless communication system by designing transmission schemes on the basis of propagation channel information. As channel adaptation techniques require to have some knowledge of the wireless channel conditions feedbackto the transmitter, the gain in throughput comes at the cost of pilot-based training and feedback which consume resources in a communication system, especially, energy. In addition when the goal in a communication system is to send information about the source to a destination such that mean squared error distortion is minimized, transmission and compression strategies hasto be designed based on both the time varying channel conditions and the source statistics. This dissertation focuses on the design of transmission strategies taking into account the cost of obtaining the channel state information (CSI) at the transmitter, and time varying source statistics when the communication nodes rely on harvested energy (hence time-varying energy) supplies.

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