空间复用MIMO无线信道的流级时延研究
On the Flow-Level Delay of a Spatial Multiplexing MIMO Wireless Channel
摘要：
MIMO无线信道为服务质量分析提供了丰富的基础。在这项工作中，我们提出了一个随机网络演算分析的MIMO系统，在空间复用模式下，使用矩生成函数（MGF）。我们量化的空间复用增益，通过多个天线，实现流级服务质量（QoS）的性能。具体而言，我们使用Gilbert-Elliot模型来描述天线对之间的各个空间路径，并通过N状态马尔可夫链对整个信道进行建模，其中N取决于MIMO系统中可用的自由度。我们推导出系统的概率延迟界，并展示了在各种条件下（例如信道突发性、信号强度和衰落速度）增加天线数量对延迟界的影响。此外，我们提出了统计独立下的多跳场景的结果。
英文摘要：
The MIMO wireless channel offers a rich ground for quality of service analysis. In this work, we present a stochastic network calculus analysis of a MIMO system, operating in spatial multiplexing mode, using moment generating functions (MGF). We quantify the spatial multiplexing gain, achieved through multiple antennas, for flow level quality of service (QoS) performance. Specifically we use Gilbert-Elliot model to describe individual spatial paths between the antenna pairs and model the whole channel by an N-State Markov Chain, where N depends upon the degrees of freedom available in the MIMO system. We derive probabilistic delay bounds for the system and show the impact of increasing the number of antennas on the delay bounds under various conditions, such as channel burstiness, signal strength and fading speed. Further we present results for multi-hop scenarios under statistical independence.
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