作者: Hang Zou , Lucas Saludjian , Patrick Panciatici , Chao Zhang , Samson Lasaulce
DOI: 10.1109/WINCOM.2018.8629632
关键词: Power (physics) 、 Energy efficient resource allocation 、 Discrete mathematics 、 Maximization 、 Function (mathematics) 、 Quantization (signal processing) 、 Task (project management) 、 Order (ring theory) 、 Computer science 、 State (functional analysis) 、 Quantization (physics)
摘要: In this paper, we introduce the problem of decision-oriented communications, that is, goal source is to send right amount information in order for intended destination execute a task. More specifically, restrict our attention how should quantize so can maximize utility function which represents task be executed only knowing quantized information. For example, functions under form $u\left(\boldsymbol{x};\ \boldsymbol{g}\right)$, $\boldsymbol{x}$ might represent decision terms using some radio resources and $\boldsymbol{g}$ system state observed through its version $Q(\boldsymbol{g})$. Both case where known it realizations, provide solutions determine such quantizer. We show approach applies energy-efficient power allocation. particular, seen quantizing very roughly perfectly suited sum-rate-type maximization, whereas energy-efficiency metrics are more sensitive imperfections.