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Assessing System-Level Energy Efficiency of mmWave-Based Wearable Networks

机译:评估基于毫米波的可穿戴网络的系统级能效

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The emerging fifth-generation (5G) wireless technology will need to harness the massively unused millimeter-wave (mmWave) spectrum to meet the projected acceleration in mobile traffic demand. Today, the available range of mmWave-based solutions is already represented by IEEE 802.11ad (WiGig), IEEE 802.15.3c, WirelessHD, and ECMA-387 standards, with more to come in the following years. As the key performance-related aspects of these enabling technologies are rapidly taking shape, the primary research challenge shifts to characterizing network energy efficiency, among other system-level parameters. This is particularly important in scenarios that are not handled by current 4G communication networks, including congested public places, homes, and offices. In these dense deployments, wireless devices are increasingly proliferating to assist in diverse user needs. However, mmWave operation in crowded environments, and especially for multiple neighboring personal networks, is not nearly well-understood. Bridging this gap, we conduct a full-fledged energy efficiency assessment of mmWave-based “high-end” wearables that employ advanced antenna beamforming techniques. Our rigorous analytical results shed light on the underlying scaling laws for the interacting mmWave-based networks based on IEEE 802.11ad and quantify the impact of beamforming quality on system energy efficiency under various conditions. Furthermore, we look at the system optimization potential subject to realistic hardware capabilities.
机译:新兴的第五代(5G)无线技术将需要利用大量未使用的毫米波(mmWave)频谱来满足预计的移动流量需求加速。如今,基于mmWave的解决方案的可用范围已经由IEEE 802.11ad(WiGig),IEEE 802.15.3c,WirelessHD和ECMA-387标准代表,并且在接下来的几年中还会有更多应用。随着这些使能技术与性能相关的关键方面迅速成形,主要的研究挑战转移到表征网络能效以及其他系统级参数上。这在当前4G通信网络无法处理的场景中尤其重要,包括拥挤的公共场所,家庭和办公室。在这些密集的部署中,无线设备正越来越多地扩散以满足各种用户需求。但是,在拥挤的环境中,尤其是对于多个相邻的个人网络,mmWave的操作并不是很容易理解。为了弥合这一差距,我们对采用先进天线波束成形技术的基于mmWave的“高端”可穿戴设备进行了全面的能效评估。我们严格的分析结果揭示了基于IEEE 802.11ad的基于mmWave的交互网络的基本缩放定律,并量化了各种条件下波束成形质量对系统能效的影响。此外,我们考察了取决于实际硬件功能的系统优化潜力。

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