新兴无线通信技术中随机场-场关联的能量几何熵边界感知分析

S. Wane, D. Bajon, J. Russer, P. Russer, G. Gradoni
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引用次数: 8

摘要

更高的功率水平可能会降低信噪比(SINR),从而对系统的整体性能产生负面影响,因此无法通过提供更高的功率来满足对更高数据速率和服务质量的指数级增长需求。同时,随着摩尔定律的发展,为实现更密集的电路集成而不断缩小的晶体管尺寸将受到物理极限的限制,而开关能量将接近热噪声谱密度。由此产生的单位时间内给定区域的热能冷却能力将导致瓶颈。本文呼吁能量-几何-熵协同设计权衡,以解决新兴技术的挑战,并推动与随机变化环境中人类与智能设备交互相关的创新应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy-geometry-entropy bounds aware analysis of stochastic field-field correlations for emerging wireless communication technologies
Exponentially increasing demands for higher data rates and quality of service cannot be satisfied by delivering more power as higher power levels may reduce Signal-to-Interference-plus-Noise Ratio (SINR) with negative impact on overall system performances. Simultaneously, the continuous shrinking in transistors size for denser circuits integration, following Moore's law, will be constrained by the physical limits while the switching energy is approaching the thermal noise spectral density. The resulting thermal cooling capacity in terms of energy per unit time for given area will lead to a bottleneck. This paper calls for Energy-Geometry-Entropy Co-design tradeoffs for addressing the challenges of emerging technologies and for driving innovative applications relative to interactions of humans with smart devices in randomly changing environments.
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