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首页> 外文期刊>Wireless Communications Letters, IEEE >Resource Allocation in NOMA Virtualized Wireless Networks Under Statistical Delay Constraints
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Resource Allocation in NOMA Virtualized Wireless Networks Under Statistical Delay Constraints

机译：统计延迟约束下的NOMA虚拟无线网络中的资源分配

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摘要

For 5G wireless communication networks, low latency and high spectral efficiency are required to provide ubiquitous communication for emerging applications. In this letter, we propose a novel framework which considers these requirements simultaneously by integrating the notion of effective capacity (EC) and non-orthogonal multiple access (NOMA) into virtualized wireless networks (VWNs). At first, we consider avirtualbase station architecture to achieve isolation between different service providers (slices). Then, a resource allocation design for maximization of the EC is formulated as a non-convex optimization problem which takes into account the average maximum power constraints and delay quality-of-service requirements. To strike a balance between computational complexity and system performance, we apply the successive convex approximation to the non-convex optimization problem. Subsequently, an iterative low-complexity suboptimal algorithm is proposed. Numerical results illustrate that there is a non-trivial fundamental tradeoff between delay and spectral efficiency in VWNs while NOMA provides a significant improvement in terms of EC compared to conventional orthogonal multiple access.
机译：对于5G无线通信网络，要求低等待时间和高频谱效率以为新兴应用提供普遍存在的通信。在这封信中，我们提出了一个新颖的框架，该框架通过将有效容量（EC）和非正交多址（NOMA）的概念整合到虚拟化无线网络（VWN）中来同时考虑这些要求。首先，我们考虑一个 n <斜体xmlns：mml = “ http：//www.w3.org/1998/Math/MathML ” xmlns：xlink = “ http://www.w3.org/1999 / xlink “>虚拟 n基站体系结构，以实现不同服务提供商（片）之间的隔离。然后，将用于EC最大化的资源分配设计公式化为非凸优化问题，该问题考虑了平均最大功率约束和延迟服务质量要求。为了在计算复杂度和系统性能之间取得平衡，我们将连续凸逼近应用于非凸优化问题。随后，提出了一种迭代的低复杂度次优算法。数值结果表明，在VWN中，延迟和频谱效率之间存在不平凡的基本折衷，而与传统的正交多址访问相比，NOMA在EC方面提供了显着改善。

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