Coexistence Between Wi-Fi and LTE on Unlicensed Spectrum: A Human-Centric Approach

Coexistence Between Wi-Fi and LTE on Unlicensed Spectrum: A Human-Centric Approach
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DOI:
10.1109/jsac.2017.2680819
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发表时间:
2017-04-01
影响因子:
16.4
通讯作者:
Reed, Jeffrey H.
Reed, Jeffrey H.
中科院分区:
计算机科学1区
文献类型:
--
作者:
Yuan, Xu;Qin, Xiaoqi;Reed, Jeffrey H.

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近年来,蜂窝服务提供商对使用未授权频谱用于其服务供应有很大的兴趣。另一方面,这些频段中现有的未授权用户(例如,5GHz频段的Wi-Fi)严重担心这种共存会危及其服务质量。虽然有一些关于如何实现共存的建议,但它们是由服务提供商驱动的,因此仍然存在许多问题和怀疑。在本文中,我们采取了一种新的以人为本的方法来理解Wi-Fi和LTE之间的共存,专注于人类的满意度。通过数学建模、问题公式化和广泛的模拟研究,我们表明,在最大化总人类满意度函数方面,在非授权频谱的静态划分下,Wi-Fi和LTE的非授权频谱共存似乎没有任何优势。这一发现是对一些LTE服务提供商通过静态划分与Wi-Fi共享未授权频谱的提议的有力反驳。另一方面,我们发现在自适应频谱划分下,Wi-Fi和LTE之间的共存的人类满意度有显着提高。由于自适应频谱划分可能需要用户在用户发生变化时更改其服务提供商,因此我们提出了一种实用的(半自适应)算法来实现,而不会影响现有用户的服务提供商。通过性能评估,我们表明,所提出的半自适应算法具有很强的竞争力。
In recent years, there has been great interest from the cellular service providers to use the unlicensed spectrum for their service offerings. On the other hand, existing unlicensed users in these bands (e.g., Wi-Fi in the 5-GHz band) have serious concern that such coexistence will jeopardize their service quality. Although there are some proposals on how to achieve coexistence, they are driven by the service providers and as such there remain many issues and skepticism. In this paper, we take a novel human-centric approach to understand coexistence between Wi-Fi and LTE by focusing on human satisfaction. Through mathematical modeling, problem formulation, and extensive simulations studies, we show that in terms of maximizing total human satisfaction function, there does not appear to be any advantage with the coexistence of unlicensed spectrum for Wi-Fi and LTE under static partitioning of unlicensed spectrum. This finding serves as a powerful counter argument to some LTE service providers' proposal to share the unlicensed spectrum with Wi-Fi through static partitioning. On the other hand, we find that there is a significant improvement in human satisfaction in coexistence between Wi-Fi and LTE under adaptive spectrum partitioning. Since adaptive spectrum partitioning may require a user to change its service provider whenever there is a change among the users, we propose a practical (semi-adaptive) algorithm for implementation without affecting existing users' service providers. Through performance evaluation, we show that the proposed semi-adaptive algorithm is highly competitive.