一种在OFDM中实现动态频谱预编码的实用方案

E. Lizarraga, G. Corral-Briones
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引用次数: 0

摘要

在无线动态频谱接入(DSA)网络中,正交频分复用(OFDM)是一种有吸引力的调制技术,可以实现主(遗留)用户和辅助用户共存。在这些系统中,认知无线电(CR)的使用有望实现频谱管理的高水平效率。以二次发射机的工作为例,重点讨论了动态适应频谱整形的必要性。为此,我们提出了一种适合于根据不断变化的无线链路条件更新频谱预编码器的架构。本文特别考虑了基于信息符号正交投影的预编码技术。这种特定的预编码需要生成包含非线性操作的约束矩阵,以及相对较大维数的矩阵的反演。因此,整体处理仍然是FPGA实现的挑战。提出了一种新的不动点算法实现方案,该方案适用于约束矩阵满足一定的条件,以保证所涉及的变量在该数值系统中能够得到充分的表示。此外,我们确定了首先影响更新处理稳定性的关键操作,并提出了一个定点计算和浮点计算的混合架构。这一阶段的观点是处理可能导致稳定性需求增加的光谱成形设置。最后,我们分析了需要完整浮点计算的数值条件,以获得数值稳定的解决方案。浮点计算模型与实现的混合结构的比较表明,该方法具有较高的数值鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A practical scheme for implementing dynamic spectral precoding in OFDM
In wireless dynamic spectrum access (DSA) networks, orthogonal frequency-division multiplexing (OFDM) is an attractive modulation technique to enable coexistence of primary (legacy) and secondary users. In these systems, the use of cognitive radio (CR) promises to achieve high levels of efficiency in spectrum management. Focused on the operation of a secondary transmitter, emphasis is placed on the necessity of adapting the spectral shaping dynamically. To this end, we propose an architecture suitable for updating the spectral precoder according to changing wireless link conditions. In particular, in this paper we consider precoding techniques based on orthogonal projection of the information symbols. This specific precoding requires the generation of a constraint matrix that involves nonlinear operations, and the inversion of matrices with relatively large dimensions. Thus the overall processing remains challenging for FPGA implementations. A novel implementation scheme is proposed for fixed-point arithmetic which is appropriate when the constraint matrix satisfies certain conditions that ensures that involved variables can be adequately represented in this numerical system. Moreover, we identify the critical operations that firstly affect the stability of the updating processing and propose an hybrid architecture with fixed-point calculations and floating-point counterparts. The perspective in this stage is to deal with spectral shaping settings that may incur in an increased demand of stability. Finally, we analyze numerical conditions that require full floating-point calculations in order to achieve a numerically stable solution. A comparison between a floating-point computational model and the hybrid architecture implemented indicates high numerical robustness for the proposed approach.
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