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Dynamic Interference Optimization in Cognitive Radio Networks for Rural and Suburban Areas
Wireless Communications and Mobile Computing ( IF 2.146 ) Pub Date : 2020-05-09 , DOI: 10.1155/2020/2850528
Rodney Martinez Alonso 1, 2 , David Plets 1 , Margot Deruyck 1 , Luc Martens 1 , Glauco Guillen Nieto 2 , Wout Joseph 1
Affiliation  

In this paper, we investigate the coexistence of cognitive radio networks on TV white spaces for rural and suburban connectivity. Although experimental models and laboratory measurements defined the maximum interference threshold for TV white space technologies for general use cases, our research found that in real wireless rural and suburban scenarios, severe interference to the broadcasting services might occur. This is particularly relevant when the traffic load of the telecom base stations (BSs) exceeds 80% of their maximum capacity. We propose a dynamic management algorithm for minimizing the interference, based on a centralized access control architecture for cognitive radio wireless networks. In an experimental emulation for assessing the impact of cognitive radio interference on the broadcasting service’s QoE, our method reduced the perceived video distortion by the broadcasting users by at least 50% and 27.5% in a rural and suburban scenario, respectively, while the spectrum usage is increased by just 8%.

中文翻译:

城郊和郊区认知无线电网络中的动态干扰优化

在本文中,我们研究了认知无线电网络在电视空白空间中用于农村和郊区连接的共存。尽管实验模型和实验室测量为一般用例定义了电视空白技术的最大干扰阈值,但我们的研究发现,在真实的无线农村和郊区场景中,可能会对广播服务产生严重干扰。当电信基站(BS)的流量负载超过其最大容量的80%时,这尤其重要。我们基于认知无线电无线网络的集中式访问控制体系结构,提出了一种用于最小化干扰的动态管理算法。在用于评估认知无线电干扰对广播服务的QoE的影响的实验仿真中,
更新日期:2020-05-09
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