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Novel optimum reduced search MLSE decoding algorithm enabling system-aware power savings

机译:新型优化的减少搜索MLSE解码算法,可节省系统功耗

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The amount of control signaling required by a wide range of wireless services to reconfigure system and architecture parameters at runtime is expected to increase significantly. Low-power design constraints force the decoding complexity to be kept to a minimum in such "continuous monitoring" scenarios. We propose a novel reduced search concept which can be adapted to MLSE-based algorithms to reduce the processing complexity without altering the communication performance. Power consumption reductions of up to 45% have been observed for TFCI and up to 50% for HS-SCCH (both 3GPP specific) decoding implemented on the ST122 DSP-MCU in a 0.13 μm CMOS technology.
机译:预期各种无线服务在运行时重新配置系统和体系结构参数所需的控制信令数量将显着增加。低功耗设计约束迫使解码复杂性在此类“连续监控”场景中保持在最低水平。我们提出了一种新颖的精简搜索概念,该概念可适用于基于MLSE的算法,从而在不改变通信性能的情况下降低处理复杂性。在0.13μmCMOS技术中,在ST122 DSP-MCU上实现的TFCI功耗降低了多达45%,而HS-SCCH(均为3GPP专用)解码降低了50%。

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