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Hopfield Neural Network - based Approach for Joint Dynamic Resource Allocation in Heterogeneous Wireless Networks

机译:基于Hopfield神经网络的异构无线网络联合动态资源分配方法

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This paper presents a comprehensive approach to solve the problem of Joint Dynamic Resource Allocation (JDRA) in heterogeneous wireless networks using a Hopfield Neural Network (HNN). A generic formulation for packet services with delay constraints is proposed to decide the optimal bit rate and Radio Access Technology (RAT) allocation. Some illustrative simulations results in a basic scenario are presented to evaluate performance of the proposed algorithm.
机译:本文介绍了一种通过Hopfield神经网络(HNN)解决异构无线网络中联合动态资源分配(JDRA)问题的综合方法。提出了一种具有延迟约束的分组服务的通用配方,以确定最佳比特率和无线电接入技术(RAT)分配。一些说明性模拟导致基本场景以评估所提出的算法的性能。

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