Abstract

Both non-orthogonal multiple access (NOMA) and ultra-dense network (UDN) are promising technologies in future wireless networks. However, considering the overlapped coverage of small base stations (SBSs) and the spectrum sharing with NOMA, interference management (IM) becomes a more complex and fundamental problem. Moreover, considering the massive SBSs and dynamic network conditions in UDN, more efficient mechanisms need to be designed to deal with the IM issue. Thus, we propose a distributed self-optimizing interference management approach to address both the intra-cell interference caused by NOMA and the inter-cell interference among dense deployed SBSs. Aiming to minimize the interference and guarantee the users’ requirements, we mathematically formulate the joint resource allocation and user selection problem with consideration of the diverse user requirements, complicated interference topology, and limited resources. Furthermore, we consider the imperfections of successive interference cancellation at receivers for separating and decoding superimposed signals and analyze the impacts of residual interference and outage probability in NOMA-based UDNs. For tractability purpose, we introduce interference graph and satisfaction game theory and propose distributed algorithms to solve the problem. Simulation results show that interference can be reduced significantly in UDNs with NOMA compared with the traditional IM approaches.

中文翻译：

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非正交多址超密集网络中的分布式自优化干扰管理

摘要

非正交多路访问（NOMA）和超密集网络（UDN）都是未来无线网络中有希望的技术。但是，考虑到小基站（SBS）的覆盖范围重叠以及与NOMA的频谱共享，干扰管理（IM）成为一个更为复杂和根本的问题。此外，考虑到UDN中的大量SBS和动态网络状况，需要设计更有效的机制来处理IM问题。因此，我们提出了一种分布式自优化干扰管理方法，以解决由NOMA引起的小区内干扰和密集部署的SBS之间的小区间干扰。为了最大程度地减少干扰并保证用户的要求，考虑到不同的用户需求，复杂的干扰拓扑和有限的资源，我们在数学上制定了联合资源分配和用户选择问题。此外，我们考虑了用于分离和解码叠加信号的接收机连续干扰消除的缺陷，并分析了基于NOMA的UDN中残留干扰和中断概率的影响。为了易于处理，我们引入了干涉图和满意度博弈论，并提出了分布式算法来解决该问题。仿真结果表明，与传统的IM方法相比，使用NOMA可以显着降低UDN中的干扰。我们考虑了用于分离和解码叠加信号的接收机连续干扰消除的缺陷，并分析了基于NOMA的UDN中残留干扰和中断概率的影响。为了易于处理，我们引入了干涉图和满意度博弈论，并提出了分布式算法来解决该问题。仿真结果表明，与传统的IM方法相比，使用NOMA可以显着降低UDN中的干扰。我们考虑了用于分离和解码叠加信号的接收机连续干扰消除的缺陷，并分析了基于NOMA的UDN中残留干扰和中断概率的影响。为了易于处理，我们引入了干涉图和满意度博弈论，并提出了分布式算法来解决该问题。仿真结果表明，与传统的IM方法相比，使用NOMA可以显着降低UDN中的干扰。