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引用次数: 1
摘要
随着移动通信需求的爆炸式增长和业务类型的多样化，高容量的灵活移动网络正成为人们研究的热点。分布式大规模MIMO (Distributed large scale, DLS)比集中式大规模MIMO和分离小小区MIMO具有较低的用户信号损失和集中控制的优势。本文提出了一种基于云RAN的DLS MIMO自优化方法。该方法包括网络维度和天线聚类，具有适应硬件/虚拟化技术和用户随时间迁移的能力。其他优点是简化了尺寸和优化过程，需要更少的天线，由于低复杂性的特点，对控制器和基带计算能力的需求更少。
Due to the exploded demand for mobile traffic and diverse service type, flexible mobile networks with high capacity is drawing lots of research efforts. Distributed large scale (DLS) MIMO has superiority over centralized large scale MIMO and separated small cells due to lower signal loss to users and central control. In this paper, we present a self-optimization method for Cloud RAN based DLS MIMO. The method includes network dimensioning and antenna clustering with adaptability to the migration of hardware/virtualization technology and user over time. Other advantages are easing the process for dimensioning and optimization, requiring fewer antennas, and less demand for controller & baseband computing power due to the characteristic of low complexity.
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