An energy-efficient WiFi offloading model in a heterogeneous network

B. H. Jung, Nah-Oak Song, D. Sung
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引用次数: 10

Abstract

In this paper, we model power consumption of a heterogeneous network consisting of overlapped cellular and WiFi networks. Then, we propose a novel WiFi offloading model for maximizing per-user energy efficiency in terms of bps per Joule. In the proposed WiFi offloading model, the heterogeneous network gathers user information and decides which portion of generated per-user traffic should be transmitted via WiFi networks in order to maximize the per-user energy efficiency; the heterogeneous network informs users of this portion, i.e, WiFi offloading ratio. Finally, each user offloads the traffic from the cellular network by the WiFi offloading ratio. Consequently, a user and the heterogeneous network achieve more than 20% higher energy efficiency than the conventional WiFi offloading model in a dense traffic environment through the proposed WiFi offloading model.
异构网络中节能WiFi卸载模型
在本文中,我们模拟了由重叠的蜂窝和WiFi网络组成的异构网络的功耗。然后,我们提出了一种新颖的WiFi卸载模型,以最大限度地提高每用户每焦耳的能源效率。在本文提出的WiFi卸载模型中,异构网络收集用户信息,并决定每用户产生的流量中哪一部分应该通过WiFi网络传输,以最大限度地提高每用户的能源效率;异构网络将这部分内容告知用户,即WiFi卸载比例。最后,每个用户通过WiFi卸载比例从蜂窝网络中卸载流量。因此,在密集的流量环境下,通过本文提出的WiFi卸载模型,用户和异构网络的能效比传统WiFi卸载模型提高20%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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