正交空间调制的时空分组编码和结构化多路复用

K. S. Shafrin, K. S. Sanila, Neelakandan Rajamohan
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引用次数: 0

摘要

大规模多输入多输出(mMIMO)技术作为保证未来无线通信系统巨大数据流量的一种实用方法正在兴起。本文提出了一种用于mimo系统的空时分组编码结构化正交空间调制(STBC-SQSM)传输方案。STBC- sqsm方案保证了STBC系统的分集优势。此外,SQSM符号取代传统的STBC星座点,通过天线索引而不是单独通过STBC块来传递额外的信息位。此外,尽管采用多个QSM符号的空间复用实现了巨大的数据速率,但它只需要有限数量的射频(RF)链。此外,该系统提出了结构化贝叶斯压缩感知(S-BCS)和基于结构化多路径正交匹配追踪(S-mOMP)的检测器,大大降低了计算复杂度。仿真结果表明,该方案比现有系统具有更好的误码率性能和频谱增益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Space Time Block Coding and Structured Multiplexing for Quadrature Spatial Modulation
Massive multiple-input multiple-output (mMIMO) technology is emerging as a pragmatic approach to guarantee tremendous data traffic for future wireless communication systems. In this paper, a transmission scheme described as a space-time block coded structured quadrature spatial modulation (STBC-SQSM) for the mMIMO system is proposed. The STBC-SQSM scheme guarantees the diversity benefits of the STBC system. Moreover, the SQSM symbols take over the conventional STBC constellation points to convey additional information bits by antenna indices rather than individually by STBC blocks. Besides, it requires only a limited number of radio frequency (RF) chains despite the enormous data rate achieved by employing spatial multiplexing of multiple QSM symbols. Further, the proposed system proposes a structured Bayesian compressive sensing (S-BCS) and a structured multipath orthogonal matching pursuit (S-mOMP) based detectors with significantly reduced computational complexity. The simulation results confirm that the proposed scheme renders a more beneficial bit error rate (BER) performance and spectral gain than the existing systems.
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