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Efficiency and flexibility trade-offs for soft input soft output sphere decoding architectures

机译:软输入软输出球形解码架构的效率和灵活性之间的权衡

摘要

In the past decades, improved algorithms and more densely integrated circuits enabled rapid progress in the area of mobile communications. The fast proliferation of mobile multimedia content and the exponentially increasing data rates demand for more and more efficient wireless transmission principles and receivers. An approach called "MIMO" (multiple input, multiple output) improves the spectral efficiency by transmitting multiple data streams concurrently within the same bandwidth by using multiple transmit and receive antennas. This approach is already part of several mobile communication standards such as LTE, WLAN and HSPA. Aside from an increasing efficiency, mobile receivers need to support a rapidly growing number of communication standards as well as updates after fabrication. Therefore, the trend towards flexibility is also relevant for physical layer receiver architectures. However, flexibility causes costs (e.g. in terms of chip area or energy consumption) which can be orders of magnitude higher than for application specific integrated circuits. In the context of this thesis, efficiency and flexibility aspects have been investigated for "Sphere-Decoding" (SD), an important class of MIMO receiver algorithms. By iterative feedback of bitwise reliability information ("soft-input soft-output", SISO) between the MIMO demodulator and the channel decoder, a spectral efficiency near the theoretical limits can be achieved. The algorithmic basis for SISO SD is well known for some time. However, due to the high complexity of SISO SD, up to the beginning of this work only architectures existed which support the non-iterative soft-output SD. The first SISO SD architecture has been developed in the context of this thesis. It provides a high efficiency with a limited flexibility which allows switching antenna and modulation configurations at runtime. Beyond this architecture, SISO SD implementations for representative programmable architectures have been investigated. The resulting analysis provides an important insight into the trade-offs between efficiency, flexibility and portability of this class of algorithms. Such iterative demodulation/decoding architectures cannot be compared by single points of operations due to their inherent trade-off between complexity and spectral efficiency. Therefore, a special analysis approach has been elaborated as part of this work which enables comparisons under preferably identical scenarios (error rates, throughput latency and chip area). This approach enables reasonable and fair comparisons of complexity, efficiency and flexibility of very different architectures. Based on these analyses, points of operation can be estimated which allow an economic use of SISO-SD architectures in future mobile receivers.
机译:在过去的几十年中,改进的算法和更密集的集成电路使移动通信领域迅速发展。移动多媒体内容的快速增长和数据速率的指数级增长,要求越来越高效的无线传输原理和接收器。一种称为“ MIMO”(多输入,多输出)的方法通过使用多个发送和接收天线在同一带宽内同时发送多个数据流来提高频谱效率。这种方法已经成为LTE,WLAN和HSPA等几种移动通信标准的一部分。除了提高效率外,移动接收机还需要支持数量迅速增长的通信标准以及制造后的更新。因此,灵活性的趋势也与物理层接收器体系结构有关。然而,灵活性导致成本(例如,就芯片面积或能量消耗而言)可能比专用集成电路高几个数量级。在本文的上下文中,已经对“球形解码”(SD)(一种重要的MIMO接收器算法)进行了效率和灵活性方面的研究。通过在MIMO解调器和信道解码器之间对按位可靠性信息(“软输入软输出”,SISO)进行迭代反馈,可以实现接近理论极限的频谱效率。 SISO SD的算法基础在一段时间内众所周知。但是,由于SISO SD的高度复杂性,直到这项工作开始时,仅存在支持非迭代软输出SD的体系结构。在本文的背景下,开发了第一个SISO SD体系结构。它以有限的灵活性提供了高效率,从而允许在运行时切换天线和调制配置。除此体系结构外,还对代表性的可编程体系结构的SISO SD实现进行了研究。结果分析为此类算法的效率,灵活性和可移植性之间的折衷提供了重要的见识。由于它们在复杂性和频谱效率之间的固有折衷,因此不能通过单点操作来比较这种迭代解调/解码体系结构。因此,作为这项工作的一部分,已经详细说明了一种特殊的分析方法,该方法可以在优选相同的场景(错误率,吞吐量延迟和芯片面积)下进行比较。这种方法可以合理,公平地比较完全不同的体系结构的复杂性,效率和灵活性。基于这些分析,可以估算操作点,从而可以在未来的移动接收器中经济地使用SISO-SD架构。

著录项

  • 作者

    Witte Ernst Martin;

  • 作者单位
  • 年度 2012
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
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