In this work, we design a generalized joint transmission coordinated multi-point (JT-CoMP)-non-orthogonal multiple access (NOMA) model for a virtualized multi-infrastructure network. In this model, all users benefit from multiple joint transmissions of CoMP thanks to the multi-connectivity opportunity provided by wireless network virtualization (WNV) in multi-infrastructure networks. The NOMA protocol in CoMP results in an unlimited NOMA clustering (UNC) scheme, where the order of each NOMA cluster is the maximum possible value. We show that UNC results in maximum successful interference cancellation (SIC) complexity at users. In this regard, we propose a limited NOMA clustering (LNC) scheme, where the SIC is performed to only a subset of users. We formulate the problem of joint power allocation and user association for the UNC and LNC schemes. Then, one globally and one locally optimal solution are proposed for each problem based on mixed-integer monotonic optimization and sequential programming, respectively. Numerical assessments reveal that WNV and LNC improves users sum-rate and reduces users SIC complexity by up to 35% and 46% compared to the non-virtualized CoMP-NOMA system and UNC model, respectively. Therefore, the proposed algorithms are suitable candidates for the implementation on open and intelligent radio access networks.

中文翻译：

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虚拟化 CoMP-NOMA HetNets 中的资源分配：联合传输的多连接

在这项工作中，我们为虚拟化多基础设施网络设计了一个广义联合传输协调多点 (JT-CoMP)-非正交多址 (NOMA) 模型。在该模型中，由于多基础设施网络中的无线网络虚拟化 (WNV) 提供的多连接机会，所有用户都受益于 CoMP 的多次联合传输。CoMP 中的 NOMA 协议导致无限制的 NOMA 聚类 (UNC) 方案，其中每个 NOMA 聚类的顺序是最大可能值。我们表明 UNC 导致用户的最大成功干扰消除 (SIC) 复杂性。在这方面，我们提出了一种有限的 NOMA 聚类（LNC）方案，其中 SIC 仅对一部分用户执行。我们为UNC和LNC方案制定了联合功率分配和用户关联的问题。然后，分别基于混合整数单调优化和顺序规划为每个问题提出一个全局最优解和一个局部最优解。数值评估表明，与非虚拟化 CoMP-NOMA 系统和 UNC 模型相比，WNV 和 LNC 分别提高了用户总和率并降低了用户 SIC 复杂度高达 35% 和 46%。因此，所提出的算法是在开放和智能无线接入网络上实现的合适候选者。分别。因此，所提出的算法是在开放和智能无线接入网络上实现的合适候选者。分别。因此，所提出的算法是在开放和智能无线接入网络上实现的合适候选者。