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A fuzzy logic algorithm for RATs selection procedures

机译:一种模糊逻辑算法,用于大鼠选择程序

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NextG Networks are predicted to be heterogeneous in nature, due to the coexistence of different Radio Access Technologies (RATs). The coexistence of different RATs requires a need for Common Radio Resource Management (CRRM) to support the provision of QoS and the efficient utilization of radio resources. RAT selection algorithms are part of the Joint RRM algorithms. Simply, their role is to decide which of the available RATs is most suitable to fit the user to the best connection. Guaranteeing the requirements of QoS and most efficient utilization of the available radio resources are the goals of the RAT selection algorithms. Therefore, there is a need to develop such algorithms for the heterogeneous wireless networks. In this paper, we propose an approach for RAT selection algorithm developed by fuzzy logic and includes different criteria, assessing and making decisions, then selecting the most suitable technology.
机译:由于不同无线电接入技术的共存(大鼠)的共存,预计NextG网络本质上是异构的。不同大鼠的共存需要需要共同的无线电资源管理(CRRM)来支持提供QoS和无线电资源的有效利用率。 RAT选择算法是联合RRM算法的一部分。简单地,他们的角色是决定哪种可用的大鼠最适合将用户拟合到最佳连接。保证QoS的要求和可用无线电资源的最有效利用是RAT选择算法的目标。因此,需要为异构无线网络开发这样的算法。在本文中,我们提出了一种由模糊逻辑开发的大鼠选择算法的方法,包括不同的标准,评估和制定决策,然后选择最合适的技术。

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