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Goal oriented communications : the quantization problem

Abstract : The classic paradigm for designing a transmitter (encoder) and a receiver (decoder) is to design these elements by ensuring that the information reconstructed by the receiver is sufficiently close to the information that the transmitter has formatted to send it on the communication medium. This is referred to as a criterion of fidelity or of reconstruction quality (measured for example in terms of distortion, binary error rate, packet error rate or communication cut-off probability).The problem with the classic paradigm is that it can lead to an unjustified investment in terms of communication resources (oversizing of the data storage space, very high speed and expensive communication medium, very fast components, etc.) and even to make exchanges more vulnerable to attacks. The reason for this is that the use of the classic approach (based on the criterion of fidelity of information) in the wireless networks will typically lead to exchanges excessively rich in information, too rich regarding the decision which will have to be taken. the recipient of the information; in the simpler case, this decision may even be binary, indicating that in theory a single bit of information could be sufficient. As it turns out, the engineer does not currently have at his disposal a methodology to design such a transceiver pair that would be suitable for the intended use (or uses) of the recipient.Therefore, a new communication paradigm named the goal-oriented communication is proposed to solve the problem of classic communications. The ultimate objective of goal-oriented communications is to achieve some tasks or goals instead of improving the accuracy of reconstructed signal merely. Tasks are generally characterized by some utility functions or cost functions to be optimized.In the present thesis, we focus on the quantization problem of the goal-oriented communication, i.e., the goal-oriented quantization. We first formulate the goal-oriented quantization problem formally. Secondly, we propose an approach to solve the problem when only realizations of utility function are available. A special scenario with some extra knowledge about regularity properties of the utility functions is treated as well. Thirdly, we extend the high-resolution quantization theory to our goal-oriented quantization problem and propose implementable schemes to design a goal-oriented quantizer. Fourthly, the goal-oriented quantification problem is developed in a framework of games in strategic form. It is shown that goal-oriented quantization could improve the overall performance of the system if the famous Braess paradox exists. Finally, Nash equilibrium of a multi-user multiple-input and multiple output multiple access channel game with energy efficiency being the utility is studied and achieved in different methods.
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Submitted on : Tuesday, July 5, 2022 - 3:43:15 PM
Last modification on : Monday, July 11, 2022 - 8:30:25 AM


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  • HAL Id : tel-03714487, version 1


Hang Zou. Goal oriented communications : the quantization problem. Neural and Evolutionary Computing [cs.NE]. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPASG021⟩. ⟨tel-03714487⟩



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