虚拟空间信道数和索引调制

Zahid Iqbal, Fei Ji, Yun Liu
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引用次数: 1

摘要

本文提出了一种新的预编码辅助的高效数据传输方案,即虚拟空间信道数指数调制(VS-CNIM),该方案通过改变多输入多输出(MIMO)信道中每个时隙的奇异值分解(SVD)得到的有效虚拟并行信道数和索引来传输额外的数据。与传统的虚拟空间调制(VSM)不同,额外的数据位仅使用活动虚拟并行信道的索引传输,VS-CNIM方案根据传入的信息位,利用活动并行信道的数量和索引沿M星座符号携带的位传输额外的位。因此,VS-CNIM的光谱效率(SE)明显优于VSM。考虑到不完全信道估计的影响,推导了平均误码率(ABEP)的封闭上界。分析了该算法的渐近性能,分别给出了完全信道估计和不完全信道估计下的编码增益和分集阶数,并描述了误差层。Monte Carlo仿真结果表明,VS-CNIM方案比预编码辅助SM (PSM)和VSM方案具有更好的误差性能和较高的SE。
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Virtual Spatial Channel Number and Index Modulation
This paper proposes a novel precoding-aided and efficient data transmission scheme called virtual spatial channel number and index modulation (VS-CNIM), which conveys extra data by changing both the number and index of active virtual parallel channels of multiple-input multiple-output (MIMO) channels, obtained through the singular value decomposition (SVD) in each time slot. Unlike the conventional virtual spatial modulation (VSM), where extra data bits are transmitted only using index of active virtual parallel channels, the VS-CNIM scheme, depending on incoming information bits, transmits extra bits utilizing both the number and indices of active parallel channels along the bits carried by M -ary constellation symbols. Therefore, VS-CNIM provides significantly superior spectral efficiency (SE) compared to VSM. Considering the influence of imperfect channel estimation, a closed-form upper bound is derived on average bit error probability (ABEP). The asymptotic performance is also analyzed, which gives the coding gain and diversity order and describes error floor under the consideration of perfect and imperfect channel estimation, respectively. Monte Carlo simulations exhibit that the VS-CNIM scheme achieves considerably better error performance and high SE than precoding-aided SM (PSM) and VSM schemes.
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