Low-dimensional spreading matrices for multiuser space-time modulation

M. Brehler, M. Varanasi
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引用次数: 1

Abstract

In a previous paper we proposed a multiuser space-time modulation scheme that leverages single-user space-time constellations and guarantees both, a full diversity order, as well as an asymptotic (high SNR) single-user like performance for every user. This is achieved by multiplying each user's space-time information matrix symbol by a low-dimensional "spreading matrix." For instance, for N/sub T/-transmit antennas per user and if the single-user space-time constellation employed requires only the minimum dimension N/sub T/, no more than N/sub T/+1 dimensions are required for the common signal space of all users, i.e., each user's spreading matrix is of size (N/sub T/+1)/spl times/N/sub T/, independent of the number of users. In this paper, we present a simplified design criterion to obtain these spreading matrices by numerical optimization. Since the columns of each user's spreading matrix are constrained to be orthonormal, we propose to perform the optimization using a parameterization of the Grassmann manifold. A special feature of the simplified criterion, and thus of the resulting spreading matrices, is that they are independent of the particular single-user space-time constellations (of a given dimension), so that different spectral efficiencies can be attained without changing or redesigning the spreading matrices.
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多用户时空调制的低维扩展矩阵
在之前的一篇论文中,我们提出了一种多用户时空调制方案,该方案利用单用户时空星座,并保证每个用户都具有完整的分集顺序以及渐近(高信噪比)的单用户性能。这是通过将每个用户的时空信息矩阵符号乘以一个低维的“扩展矩阵”来实现的。例如,对于每个用户N/sub T/-个发射天线,如果所采用的单用户时空星座只要求最小维数N/sub T/,则所有用户的公共信号空间所需的维数不超过N/sub T/+1,即每个用户的扩展矩阵的大小为(N/sub T/+1)/ sp1倍/N/sub T/,与用户数无关。本文给出了一种简化的设计准则,通过数值优化得到这些扩展矩阵。由于每个用户的扩展矩阵的列被约束为标准正交,我们建议使用格拉斯曼流形的参数化来执行优化。简化准则和由此产生的扩频矩阵的一个特殊特征是,它们独立于特定的单用户时空星座(给定维度),因此可以在不改变或重新设计扩频矩阵的情况下获得不同的频谱效率。
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