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LTE physical layer implementation based on GPP multi-core parallel processing and USRP platform

机译:基于GPP多核并行处理和USRP平台的LTE物理层实现

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摘要

Software defined radio (SDR) is characterized by its flexibility and convenience of modification, because significant amounts of signal processing are handed over to the general-purpose processor (GPP), rather than being done in special-purpose hardware. In the long term, software-defined radios work well in low data transmission rate systems such as 2G/3G cellular systems and other wireless radio systems. With rapid development of GPP power, more complex algorithms and higher data rate wireless communication systems can be implemented with GPP processor and general purpose RF front end. In this paper we propose a LTE physical layer parallel system architecture based on multicore GPP to match up the high capacity requests of LTE air interface. Firstly, we analyzed the complexity of each LTE physical layer module and made a statistics of their processing time. And then we used Linux CPU affinity to allocate each LTE module to particular CPU core carefully based on the statistics. CPU utilization rate shows that using multi-core makes the system to have enough capacity. Our system can only match up 2M bandwidth when the LTE physical layer procedures are running on single CPU core, while it can match up 5M bandwidth when it's running on multi-core.
机译:软件定义无线电(SDR)的特点是灵活性和修改的便利性,因为大量的信号处理被移交给了通用处理器(GPP),而不是在专用硬件中完成。从长远来看,软件定义的无线电在低数据传输速率的系统(例如2G / 3G蜂窝系统和其他无线电系统)中可以很好地工作。随着GPP功能的快速发展,可以使用GPP处理器和通用RF前端来实现更复杂的算法和更高数据速率的无线通信系统。在本文中,我们提出了一种基于多核GPP的LTE物理层并行系统架构,以匹配LTE空口的高容量需求。首先,我们分析了每个LTE物理层模块的复杂性,并对其处理时间进行了统计。然后,我们使用Linux CPU亲和力根据统计信息将每个LTE模块仔细分配给特定的CPU内核。 CPU利用率表明,使用多核可使系统具有足够的容量。当LTE物理层过程在单个CPU内核上运行时,我们的系统只能匹配2M带宽,而在多核上运行时,我们的系统只能匹配5M带宽。

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