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Reducing dynamic power consumption in next generation DS-CDMA mobile communication receivers

机译:降低下一代DS-CDMA移动通信接收机的动态功耗

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Reduction of the power consumption in portable wireless receivers is an important consideration for next-generation cellular systems specified by standards such as the UMTS, IMT2000. We explore the architectural design-space and methodologies for reducing the dynamic power dissipation in the direct sequence code division multiple access (DS-CDMA) downlink RAKE receiver. Starting with a reference implementation of the DS-CDMA RAKE receiver, we demonstrate design methodologies for achieving significant power reduction, while highlighting the corresponding performance trade-offs. At the algorithm level, we investigate the tradeoffs of reduced precision and arithmetic complexity on the receiver performance. We then present two architectures for implementing the reference and reduced complexity receivers, and analyze these architectures with respect to their dynamic power dissipation. Our findings report that reduction in precision from a 16 bit to a 10 bit data-path is found to yield significant power savings of 25.6% in the reference RAKE receiver architecture, with a performance loss of less than 1 dB. Further, a power reduction of up to 24.65% is achieved in a 16 bit data-path for the reduced complexity RAKE receiver compared to the reference architecture, with a performance loss of less than 2 dB. Although there is a tradeoff in performance, adaptive power saving is very important for mobile wireless terminals. The combined effect of reduced precision and complexity reduction leads to a 37.44% savings in baseband processing power.
机译:对于诸如UMTS,IMT2000之类的标准所规定的下一代蜂窝系统,降低便携式无线接收机的功耗是一个重要的考虑因素。我们探索减少直接序列码分多址(DS-CDMA)下行RAKE接收机中动态功耗的体系结构设计空间和方法。从DS-CDMA RAKE接收器的参考实现开始,我们演示了实现显着降低功耗的设计方法,同时着重强调了相应的性能折衷。在算法级别,我们研究了降低精度和算法复杂度对接收机性能的折衷。然后,我们提出了两种用于实现参考接收机和降低复杂度的接收机的架构,并针对它们的动态功耗分析了这些架构。我们的发现报告说,在参考RAKE接收器体系结构中,将精度从16位降低到10位数据路径可显着节省25.6%的功率,而性能损失小于1 dB。此外,与参考架构相比,对于复杂度降低的RAKE接收器,在16位数据路径中可实现高达24.65%的功率降低,而性能损失小于2 dB。尽管在性能上需要权衡,但是自适应功率节省对于移动无线终端非常重要。降低精度和降低复杂度的综合效果导致基带处理能力节省了37.44%。

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