论文标题
基于排斥聚类的基于无细胞大型MIMO系统的试点分配
Repulsive Clustering Based Pilot Assignment for Cell-Free Massive MIMO Systems
论文作者
论文摘要
由于它有能力为用户设备（UES）提供统一的服务率，无单元（CF）大量多输入，多重输出（MMIMO）最近引起了学术界和行业的广泛关注，因此被认为是超过5G和6G的潜在技术之一。但是，多个用户对相同的飞行员信号的重复使用可以创建所谓的飞行员污染问题，这可能会阻碍CF MMIMO解锁其全部性能。在本文中，我们通过将试点分配作为最大程度多样的聚类问题来解决挑战，并提出一种有效但直接的基于排斥性聚类的试点分配方案，以减轻试验污染对CF MMIMO的影响。数值结果表明，与实现的上行链路链路每用户速率相比，所提出的技术的优越性。
Thanks to its capability to provide a uniform service rate for the User Equipments (UEs), Cell-free (CF) massive Multiple-Input, Multiple-Output (mMIMO), has recently attracted considerable attention, both in academia and in industry, and so is considered as one of the potential technologies for beyond-5G and 6G. However, the reuse of the same pilot signals by multiple users can create the so-called pilot contamination problem, which can hinder the CF mMIMO from unlocking its full performance. In this paper, we address the challenge by formulating the pilot assignment as a maximally diverse clustering problem and propose an efficient yet straightforward repulsive clustering-based pilot assignment scheme to mitigate the effects of pilot contamination on CF mMIMO. The numerical results show the superiority of the proposed technique compared to some other methods with respect to the achieved uplink per-user rate.
