Self-Organizing Strategy Design for Heterogeneous Coexistence in the Sub-6 GHz
Self-Organizing Strategy Design for Heterogeneous Coexistence in the Sub-6 GHz
复制标题
6 GHz 以下异构共存的自组织策略设计
DOI：
10.1109/twc.2018.2864734
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发表时间：
2018
影响因子：
10.4
通讯作者：
A. Cacciapuoti
中科院分区：
文献类型：
--
作者：
M. Caleffi;V. Trianni;A. Cacciapuoti
由于全球范围内大规模利用Sub-6 GHz频谱部署独立运营和异构网络的压力，迫切需要网络共存的创新解决方案。因此，在本文中，我们设计了一个自组织的策略，其目的是最大限度地减少共享Sub-6 GHz频谱的异构网络之间的共存干扰。该设计是在促进无私的网络利用率和避免异构网络之间的任何直接通信的约束下进行的。为此，我们开发了一个分析框架，基于蜜蜂群中观察到的巢址选择行为，来模拟多个异构网络之间的共存问题。具体而言，首先，不同的异构网络被映射到不同的人口和一个Sub-6 GHz频段的网络的分配被映射到人口承诺。然后，承诺过程的演化描述通过一个多维微分系统。我们分析研究了这样一个系统的稳定性在平衡，我们推导出的条件，确保不同的异构网络之间的最佳分配的可用的Sub-6 GHz频段。最后，通过广泛的性能评估，所提出的策略进行了验证。
Due to the worldwide ongoing pressure to massively exploit the Sub-6 GHz spectrum for the deployment of independently-operated and heterogeneous networks, innovative solutions for network coexistence are deeply required. Hence, in this paper, we design a self-organizing strategy with the aim of minimizing the coexistence interference among heterogeneous networks sharing the Sub-6 GHz spectrum. The design is performed under the constraints of promoting selfless network utilization and avoiding any direct communication among the heterogeneous networks. For this, we develop an analytical framework, grounded on the nest-site selection behavior observed in honeybee swarms, to model the coexistence problem among multiple heterogeneous networks. Specifically, first, different heterogeneous networks are mapped into different populations and the allocation of a Sub-6 GHz band to a network is mapped into the population commitment. Then, the evolution of the commitment process is described through a multi-dimensional differential system. We analytically study the stability of such a system at the equilibrium, and we derive the conditions that assure the optimal allocation of the available Sub-6 GHz bands among the different heterogeneous networks. Finally, the proposed strategy is validated through an extensive performance evaluation.
DOI：
10.1109/jsac.2017.2680819
发表时间：
2017-04-01
影响因子：
16.4
作者：
Yuan, Xu;Qin, Xiaoqi;Reed, Jeffrey H.
通讯作者：
Reed, Jeffrey H.