Resource Allocation in Correlated and Non-Correlated MIMO Systems

Stefan Klobe, A. Ahrens, C. Lange, I. Müller, Petra Leitert, J. Zaščerinska
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Abstract

The multiple-input multiple-output (MIMO) transmission concept targets at increasing the throughput of communication links by employing multiple transmit and receive antennas. As regularly in digital transmission, for such systems the bit-error probability is the crucial quality criterion - also known as the bit-error ratio (BER). If simple MIMO transmission channel and data source models are assumed, the BER can be computed analytically and the system under consideration can be optimized with the respect to a minimum BER. In this contribution, we consider BER minimization for MIMO links with uncertainty in their channel parameters under good and poor scattering conditions. Optimal solutions such as the Lagrange multiplier method regarding bit and power allocation in the transmitter are designed to achieve the best link performance. However, suboptimum solutions are able to achieve a similar performance with a significantly lower complexity. The obtained analytical results show that the achievable performance strongly depends on the number of active MIMO layers as well as the assigned transmit power per layer and the number of bits per transmitted symbol. Furthermore it turns out that the natural choice of creating MIMO layers with identical BER's does not guarantee the best performance.
相关与非相关MIMO系统中的资源分配
多输入多输出(MIMO)传输概念旨在通过使用多个发射和接收天线来增加通信链路的吞吐量。通常在数字传输中,对于这样的系统,误码率是至关重要的质量标准——也称为误码率(BER)。如果假设简单的MIMO传输信道和数据源模型,则可以解析地计算误码率,并且可以根据最小误码率对所考虑的系统进行优化。在这篇贡献中,我们考虑了在良好和不良散射条件下信道参数不确定的MIMO链路的误码率最小化。为了实现最佳链路性能,设计了最优的解决方案,如拉格朗日乘法器中比特和功率的分配。然而,次优解决方案能够以更低的复杂度实现类似的性能。分析结果表明,可实现的性能在很大程度上取决于有源MIMO层数、每层分配的发射功率和每个发射符号的位数。此外,结果表明,自然选择创建具有相同误码率的MIMO层并不能保证最佳性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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