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Spectrum utility driven WiFi offloading over NOMA-based cellular network edges

机译:Spectrum实用程序通过基于NOMA的蜂窝网络边缘驱动WiFi卸载

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We propose a spectrum utility based WiFi offloading scheme on the edge of cellular networks, implemented with non-orthogonal multiple access (NOMA) techniques. In our proposed scheme, we aim to optimize the spectrum utility, obtained by service providers, through power allocation and offloading ratio. With practical constructions of the cost functions on spectrum, we define the spectrum utility mathematically, and then formulate the problem by considering relevant resource constraints and quality of service (QoS) requirements. To solve the formulated problem, we first employ the Dinkelbach's parametric approach to transform. Then, we decompose the optimization with a sub-optimal manner into two subproblems, i.e., AP-subproblem and BS-subproblem. Applying the convex optimization method and greedy algorithm to AP-subproblem, we effectively obtain power allocations for WiFi AP, and acquire the solution of offloading ratio. Through discussion on BS-subproblem, we then have power allocations for cellular BS. The simulation results finally validate our theoretical analysis, and evaluate the effectiveness of our proposed offloading scheme.
机译:我们在蜂窝网络的边缘上提出了一种基于频谱实用程序的WiFi卸载方案,该方案通过非正交多址(NOMA)技术实现。在我们提出的方案中,我们旨在通过功率分配和卸载比来优化服务提供商获得的频谱效用。通过对成本函数在频谱上的实际构建,我们在数学上定义了频谱效用,然后通过考虑相关的资源约束和服务质量(QoS)要求来表述问题。为了解决提出的问题,我们首先采用Dinkelbach的参数化方法进行转换。然后,我们以次优方式将优化分解为两个子问题,即AP子问题和BS子问题。将凸优化方法和贪婪算法应用于AP子问题,可以有效地获得WiFi AP的功率分配,并获得卸载率的解。通过讨论BS子问题,我们可以为蜂窝BS分配功率。仿真结果最终验证了我们的理论分析,并评估了我们提出的卸载方案的有效性。

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