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Multinode Component Carrier Management: Multiconnectivity in 5G
IEEE Vehicular Technology Magazine ( IF 5.8 ) Pub Date : 2020-12-04 , DOI: 10.1109/mvt.2020.3032931
Isabel de la Bandera , David Palacios , Raquel Barco

From its conception, 5G has been designed to support a wide variety of service types, ranging from enhanced mobile broadband (eMBB) to ultrareliable low-latency communications (URLLC). To overcome the disparity of their requirements, a number of radio resource management (RRM) solutions have been proposed, among which multiconnectivity (MC) may be highlighted: that is, the aggregation of radio resources in the shape of component carriers (CCs) from several base stations (BSs). MC allows a number of benefits to be achieved, from increased reliability, due to multilink diversity, to throughput enhancements, due to the usage of additional radio resources and load balance among the involved BSs. This article proposes a novel RRM mechanism to jointly manage user equipment (UE)-BS association rules and CC selection, according to network operators' policies, defined over a variety of performance indicators. Simulations show that, in a scenario of load imbalance, the proposed mechanism allows the UE throughput to be increased while improving the network efficiency by means of a proper inter-CC and inter-BS load balance when compared to traditional received power-based schemes for CC management applied in an MC environment.

中文翻译:

多节点组件运营商管理:5G中的多连接性

从其概念出发,5G旨在支持多种服务类型,从增强型移动宽带(eMBB)到超可靠的低延迟通信(URLLC)。为了克服它们的要求的差异,已经提出了许多无线电资源管理(RRM)解决方案,其中可以强调多连接性(MC):即,以分量载波(CC)的形式聚合无线电资源。几个基站(BS)。MC可以实现许多好处,从多链路分集带来的可靠性提高到由于使用了额外的无线电资源以及所涉及的BS之间的负载平衡而导致的吞吐量提高。根据网络运营商的建议,本文提出了一种新颖的RRM机制,用于联合管理用户设备(UE)-BS关联规则和CC选择。各种绩效指标中定义的政策。仿真表明,在负载不平衡的情况下,与传统的基于接收功率的方案相比,所提出的机制允许通过适当的CC和BS间负载平衡来提高UE吞吐量,同时提高网络效率。 CC管理应用于MC环境。
更新日期:2020-12-04
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