Cell-Free (CF) Massive MIMO (mMIMO) is a technology which can potentially augment not only the deployment of 5G, but also the deployment of beyond 5G (B5G) wireless networks. However, the cost for rolling out such systems may be significant. Radio stripes form a promising solution which offers the potential of scalability at a reduced price. This paper investigates the uplink scenario of a CF mMIMO system, implemented with a limited-capacity radio stripe which integrates a novel arrangement of access points (APs), fully exploiting macro-diversity benefits. We also analyze a heuristic Compare-and-Forward (CnF) strategy, which, by comparing normalized linear minimum mean square error (N-LMMSE) soft estimates, enables optimal dynamic cooperation clustering, thus leading to a user-centric radio stripe network approach. Aiming at maximizing the per-user uplink spectral efficiency (SE), we ensure that, under finite capacity constraints, our solution can guarantee better performance than existing radio stripe architectures, especially when system size increases.
翻译:大规模无细胞MIMO(MMIMO)是一种技术,不仅有可能扩大5G的部署,而且有可能扩大5G(B5G)无线网络的部署,然而,推出这种系统的成本可能相当高。无线电条纹是一个很有希望的解决办法,有可能以较低的价格实现可扩缩。本文调查了CF mIMIMO系统的上行联线情景,该系统采用的能力有限无线电条纹,将接入点的新安排整合在一起,充分利用了宏观多样性的好处。我们还分析了超常比较和前向战略,通过比较正常的线性最低平均平方差(N-LMMSE)软估计,使最佳的动态合作集群得以形成,从而导致一种以用户为中心的无线电条形网络方法。我们的目标是最大限度地提高每个用户的上行光谱效率(SE),以确保在有限的能力限制下,我们的解决方案能够保证比现有无线电条形结构更好地发挥作用,特别是在系统规模扩大时。