In this paper, we study the traffic-aware resource allocation problem for a system with mixed traffic types. The considered framework encompasses real-time (RT) users having strict QoS requirements (in terms of amount of data and latency), and best-effort (BE) users for which the system tries to strike a balance between throughput and fairness. The resource allocation problem is studied in different contexts: orthogonal and non-orthogonal multiple access (OMA and NOMA respectively) in either centralized or distributed antenna systems (CAS and DAS respectively). Following the formulation of the resource optimization problem, we propose a low complexity suboptimal solution based on matching theory for each system context. We also propose an iterative approach to determine the number of subbands per antenna for the DAS contexts. The proposed techniques aim at guaranteeing the requirements of RT users while maximizing the utility function of BE users. Simulation results show that the proposed allocation method based on matching theory greatly outperforms a previously proposed greedy approach, especially in terms of RT users satisfaction.

中文翻译：

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使用匹配理论在混合流量集中式和分布式天线的 NOMA 系统中进行资源分配

在本文中，我们研究了具有混合流量类型的系统的流量感知资源分配问题。所考虑的框架包括具有严格 QoS 要求（在数据量和延迟方面）的实时 (RT) 用户，以及系统试图在吞吐量和公平性之间取得平衡的尽力 (BE) 用户。资源分配问题在不同的上下文中进行研究：集中或分布式天线系统（分别为 CAS 和 DAS）中的正交和非正交多址（分别为 OMA 和 NOMA）。根据资源优化问题的制定，我们针对每个系统上下文提出了基于匹配理论的低复杂度次优解决方案。我们还提出了一种迭代方法来确定 DAS 上下文中每个天线的子带数量。所提出的技术旨在保证RT用户的需求，同时最大化BE用户的效用函数。仿真结果表明，所提出的基于匹配理论的分配方法大大优于先前提出的贪婪方法，尤其是在 RT 用户满意度方面。