Densification of network base stations is indispensable to achieve the stringent Quality of Service (QoS) requirements of future mobile networks. However, with a dense deployment of transmitters, interference management becomes an arduous task. To solve this issue, exploring radically new network architectures with intelligent coordination and cooperation capabilities is crucial. This survey paper investigates the emerging user-centric cell-free massive multiple-input multiple-output (MIMO) network architecture that sets a foundation for future mobile networks. Such networks use a dense deployment of distributed units (DUs) to serve users; the crucial difference from the traditional cellular paradigm is that a specific serving cluster of DUs is defined for each user. This framework provides macro diversity, power efficiency, interference management, and robust connectivity. Most importantly, the user-centric approach eliminates cell edges, thus contributing to uniform coverage and performance for users across the network area. We present here a guide to the key challenges facing the deployment of this network scheme and contemplate the solutions being proposed for the main bottlenecks facing cell-free communications. Specifically, we survey the literature targeting the fronthaul, then we scan the details of the channel estimation required, resource allocation, delay, and scalability issues. Furthermore, we highlight some technologies that can provide a management platform for this scheme such as distributed software-defined network (SDN) and self-organizing network (SON). Our article serves as a check point that delineates the current status and indicates future directions for this area in a comprehensive manner.
翻译:网络基站的密度对于实现未来移动网络的严格服务质量(QOS)要求是必不可少的。然而,随着发射机的密集部署,干扰管理成为一项艰巨的任务。为了解决这个问题,探索智能协调与合作能力,探索全新的网络结构至关重要。本调查文件调查了正在出现的以用户为中心的无细胞大规模多投入产出(MIMO)网络结构,为未来的移动网络奠定了基础。这些网络使用密集的分布式单元(DUs)为用户服务;传统细胞模式的关键区别在于为每个用户确定一组特定的供使用的贫铀。这一框架提供了宏观多样性、电力效率、干扰管理和强有力的连通性。最重要的是,以用户为中心的方法消除了细胞边缘,从而为整个网络区域的用户提供了统一的覆盖面和性能。我们在这里为无细胞通信面临的主要瓶颈问题提供了指南。具体地,我们调查了针对前方的文献,然后为每个用户确定了一组供使用的贫铀组。这个框架提供了宏观多样性、电力效率、干扰管理和强连通性连通性连接性框架。最重要的是,以用户为中心的细胞边际网络定位、资源配置、延迟和功能定位,作为我们定义的网络的平台,从而显示我们定义的网络现状。