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On the Energy-Delay Tradeoff in Streaming Data: Finite Blocklength Analysis

机译：流数据中的能量延迟权衡：有限块长分析

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This paper investigates basic trade-offs between energy and delay in wireless communication systems using finite blocklength theory. We first assume that data arrive in constant stream of bits, which are put into packets and transmitted over a communications link. Our results show that depending on exactly how energy is measured, in general energy depends on root d(-1) or root d(-1) log d, where d is the delay. This means that the energy decreases quite slowly with increasing delay. Furthermore, to approach the absolute minimum of -1.59 dB on energy, bandwidth has to increase very rapidly, much more than what is predicted by infinite blocklength theory. We then consider the scenario when data arrive stochastically in packets and can be queued. We devise a scheduling algorithm based on finite blocklength theory and develop bounds for the energy-delay performance. Our results again show that the energy decreases quite slowly with increasing delay.
机译：本文使用有限块长理论研究了无线通信系统中能量与延迟之间的基本权衡。我们首先假设数据以恒定的比特流到达，然后将其放入数据包中并通过通信链路传输。我们的结果表明，取决于准确地测量能量的方式，通常能量取决于根d（-1）或根d（-1）log d，其中d是延迟。这意味着能量会随着延迟的增加而非常缓慢地降低。此外，要在能量上达到-1.59 dB的绝对最小值，带宽必须非常迅速地增加，这远远超过了无限块长理论所预测的速度。然后，我们考虑以下情况：数据以分组形式随机到达并且可以排队。我们设计了一种基于有限块长理论的调度算法，并为能量延迟性能制定了界限。我们的结果再次表明，能量随着延迟的增加而缓慢降低。

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