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Energy Efficient Programmable MIMO Decoder Accelerator Chip in 65-nm CMOS

机译:采用65nm CMOS的高能效可编程MIMO解码器加速器芯片

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This paper presents an energy efficient programmable hardware accelerator that targets multiple-input-multiple-output (MIMO) decoding tasks of orthogonal frequency-division multiplexing (OFDM) systems. The work is motivated by the adoption of MIMO and OFDM by almost all existing and emerging high-speed wireless data communication systems. The accelerator was fabricated in 65-nm CMOS technology and occupies a core area of 2.48 ${rm mm}^{2}$ . It delivers full programmability across different wireless standards (i.e., WiFi, 3G-long term evolution, and WiMax) as well as different MIMO decoding algorithms (i.e., minimum mean square error, singular value decomposition, and maximum likelihood) with extreme energy efficiency. The energy efficiency of our MIMO accelerator chip was compared against dedicated application specific integrated circuits for 4 $,times,$ 4 QR decomposition, 4 $,times,$ 4 singular value decomposition, and 2 $,times,$ 2 minimum mean square error decoding. Despite the programmable nature of our design, it delivered energy efficiencies that were 18% to 28% better than the dedicated solutions reported in the literature. This paper presents the VLSI implementation of the architecture discussed in [14]–[16]. It discusses the implementation decisions and tradeoffs used to ensure minimum overall energy consumption of the resulting accelerator chip without sacrificing programmability. Given its programmability and extreme energy efficiency, the accelerator is an ideal solution for today's smart phones that implement multiple MIMO-OFDM waveforms on the - ame platform.
机译:本文提出了一种节能高效的可编程硬件加速器,该加速器针对正交频分复用(OFDM)系统的多输入多输出(MIMO)解码任务。几乎所有现有和新兴的高速无线数据通信系统都采用MIMO和OFDM来推动这项工作。该加速器采用65纳米CMOS技术制造,核心面积为2.48 $ {rm mm} ^ {2} $。它具有不同的无线标准(即WiFi,3G长期演进和WiMax)以及不同的MIMO解码算法(即最小均方误差,奇异值分解和最大似然性),并具有极高的能效,具有完全的可编程性。将我们的MIMO加速器芯片的能效与专用集成电路进行了比较,得出4美元x 4 QR分解,4美元x 4奇异值分解和2美元x 2最小均方误差解码。尽管我们的设计具有可编程性,但其提供的能源效率比文献中报道的专用解决方案高出18%至28%。本文介绍了[14] – [16]中讨论的体系结构的VLSI实现。它讨论了用于在不牺牲可编程性的情况下确保最终加速器芯片的最低总体能耗的实现决策和折衷方案。鉴于其可编程性和极高的能源效率,该加速器是当今在ame平台上实现多个MIMO-OFDM波形的智能手机的理想解决方案。

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