论文标题
5G（AURA-5G）中的用户协会和资源分配：联合优化框架
User Association and Resource Allocation in 5G (AURA-5G): A Joint Optimization Framework
论文作者
论文摘要
在本文中，我们提供了一种新颖的应用程序感知用户协会和资源分配框架，即Aura-5G，该框架利用联合优化策略来实现相同的功能。具体而言，我们的方法论考虑了在5G网络中将普遍存在的所有实际网络约束以及实际部署方案。此外，AURA-5G是一个应用程序意识框架，在执行优化任务时考虑了EMBB和MMTC服务的资源要求。我们已经证明，鉴于本文探讨的任何多个网络约束组合中的任何多个组合，我们的策略的性能明显优于基线算法。此外，我们还为AURA-5G框架以及可溶性和收敛时间分析提供了新的计算复杂性分析。考虑到场景和约束，这种分析在确定AURA-5G框架的适用性和性能方面都将对行业和学术界有益。最后，我们还提供了有关网络重新维度方面的简短研究，其中我们证明了AURA-5G框架在向操作员提供有关其部署的见解以及如何利用其优化网络性能的疗效。
In this paper, we provide a novel application aware user association and resource allocation framework, i.e., AURA-5G, which utilizes a joint optimization strategy to accomplish the same. Concretely, our methodology considers all the real network constraints that will be prevalent in the 5G networks as well as practical deployment scenarios. Furthermore, AURA-5G, being an application aware framework, considers the resource requirements of both eMBB and mMTC services whilst performing the optimization task. We have demonstrated that our strategy performs significantly better than the baseline algorithm, given any of the multiple combinations of network constraints explored in this paper. In addition, we have also presented a novel computational complexity analysis for the AURA-5G framework as well as a solvability and convergence time analysis. Such an analysis will be beneficial for both industry and academia in determining the applicability and performance of the AURA-5G framework, given the scenario and constraints. Lastly, we have also provisioned a short study on the aspect of network re-dimensioning, wherein we demonstrate the efficacy of the AURA-5G framework in providing insights to the operators with regards to their deployment and how they can utilize it to optimize the performance of their networks.
