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Resilient hybrid optical-RF backhauling for tiered networks

机译：分层网络的弹性混合光射频回传

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摘要

To meet the huge demand in 5G data services, it is expected to have an enormous number of small cells along the conventional base stations. Various backhaul links including Optical Fiber (OF), Free Space Optics (FSO) and Radio Frequency (RF) are used to support the backhaul demand of such tiered network. The objective of this paper is to improve the connectivity of tiered networks by obtaining the optimal combinations of backhauling technologies (OF, FSO, RF or hybrid FSO/RF). In this paper, optimization of two-tier networks connectivity and resilience is performed, under the constraints of minimum data rate, cost, and reliability of different links. Under realistic cost assumptions and linear relaxation, it was shown that the problem can be formulated as a convex optimization problem. In this paper, an iterative solution is proposed. The proposed solution iterates between two computationally efficient methods to successively maximize the algebraic connectivity and resilience. The simulation results show that the proposed algorithm can achieve gains of 240% - 600% in terms of the network algebraic connectivity, depending on the rate constraint range. Similarly, it can achieve gains of 60% - 100% enhancement in terms of the network resilience. (C) 2019 Elsevier B.V. All rights reserved.
机译：为了满足5G数据服务的巨大需求，预计在传统基站中将拥有大量的小型小区。各种回程链路（包括光纤（OF），自由空间光学（FSO）和射频（RF））用于支持此类分层网络的回程需求。本文的目的是通过获得回程技术（OF，FSO，RF或混合FSO / RF）的最佳组合来改善分层网络的连接性。本文在最小数据速率，成本和不同链路的可靠性的约束下，对两层网络的连接性和弹性进行了优化。在实际成本假设和线性松弛条件下，证明该问题可以表述为凸优化问题。本文提出了一种迭代解。提出的解决方案在两种计算有效的方法之间进行迭代，以连续最大化代数连接性和弹性。仿真结果表明，根据速率约束范围，所提算法在网络代数连通性方面可获得240％-600％的增益。同样，就网络弹性而言，它可以实现60％-100％的增强。 （C）2019 Elsevier B.V.保留所有权利。

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