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Task assignment strategies for pools of baseband computation units in 4G cellular networks

机译:4G蜂窝网络中基带计算单元池的任务分配策略

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A promising architecture for future cellular mobile networks is to place remote radio heads on the cell towers and connect those via fibers with a centralized pool of baseband units. Among other things, the centralization of baseband computation facilitates multiplexing gains and can thereby save compute resources. To realize these gains, an efficient and load-balancing assignment of compute jobs to computation units is required. In contrast to approaches in literature, our architecture virtualizes the processing for each UE separately. It thereby provides a finer granularity and allows to newly decide the assignment of a compute job to a processing unit whenever a UE starts transmitting data. In this publication, we present multiple heuristics to decide this assignment. We compare the efficiency of the assignment and the perceived service quality realized by the heuristics with an ideal assignment and the classical static cell-based assignment. Our evaluation shows that by using a good assignment heuristic, about 50% of the hardware resources can be saved.
机译:未来蜂窝移动网络的有希望的架构是将远程无线电头放置在牢房塔上,并通过具有集中式基带单元的光纤连接那些。在其他事情之外,基带计算的集中化有助于多路复用增益,从而可以保存计算资源。为了实现这些增益,需要对计算单元进行计算作业的有效和负载平衡分配。与文献中的方法相比,我们的体系结构分别虚拟化每个UE的处理。因此,每当UE开始发送数据时,它提供了更精细的粒度并允许新决定将计算作业的分配给处理单元。在本出版物中,我们展示了多种启发式方法来决定这项任务。我们比较赋予的效率和由启发式实现的感知服务质量,具有理想的分配和基于古典静态小区的分配。我们的评估表明,通过使用良好的分配启发式,可以保存大约50%的硬件资源。

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