首页> 外文期刊>Very Large Scale Integration (VLSI) Systems, IEEE Transactions on >A MIMO Decoder Accelerator for Next Generation Wireless Communications
【24h】

A MIMO Decoder Accelerator for Next Generation Wireless Communications

机译:用于下一代无线通信的MIMO解码器加速器

获取原文
获取原文并翻译 | 示例

摘要

In this paper, we present a multi-input–multi-output (MIMO) decoder accelerator architecture that offers versatility and reprogrammability while maintaining a very high performance-cost metric. The accelerator is meant to address the MIMO decoding bottlenecks associated with the convergence of multiple high-speed wireless standards onto a single device. It is scalable in the number of antennas, bandwidth, modulation format, and most importantly, present and emerging decoder algorithms. It features a Harvard-like architecture with complex vector operands and a deeply pipelined fixed-point complex arithmetic processing unit. When implemented on a Xilinx Virtex-4 LX200FF1513 field-programmable gate array (FPGA), the design occupied 43% of overall FPGA resources. The accelerator shows an advantage of up to three orders of magnitude (1000 times) in power-delay product for typical MIMO decoding operations relative to a general purpose DSP. When compared to dedicated application-specific IC (ASIC) implementations of mmse MIMO decoders, the accelerator showed a degradation of 340%–17%, depending on the actual ASIC being considered. In order to optimize the design for both speed and area, specific challenges had to be overcome. These include: definition of the processing units and their interconnection; proper dynamic scaling of the signal; and memory partitioning and parallelism.
机译:在本文中,我们提出了一种多输入多输出(MIMO)解码器加速器体系结构,该体系结构提供了多功能性和可重编程性,同时又保持了很高的性能成本指标。该加速器旨在解决与将多个高速无线标准融合到单个设备上相关的MIMO解码瓶颈。它在天线数量,带宽,调制格式,最重要的是现有和新兴的解码器算法方面可扩展。它具有类似于哈佛的体系结构,具有复杂的向量操作数和深度流水线式的定点复杂算术处理单元。当在Xilinx Virtex-4 LX200FF1513现场可编程门阵列(FPGA)上实施时,该设计占用了全部FPGA资源的43%。相对于通用DSP,对于典型的MIMO解码操作,该加速器在功率延迟乘积中显示出高达三个数量级(1000倍)的优势。与mmse MIMO解码器的专用IC(ASIC)实施相比,该加速器的性能下降了340%–17%,具体取决于所考虑的ASIC。为了在速度和面积上优化设计,必须克服特定的挑战。其中包括:处理单元及其互连的定义;适当的信号动态缩放;以及内存分区和并行性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号