Statistical analysis of OFDMA assignments

Maria Vega Martin, J. Gross
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Abstract

In this paper we investigate statistical properties of IP optimal subcarrier assignments in the down-link of an OFDMA cell. Essentially, we show that such subcarrier assignments do have ¿hidden¿ statistical properties which can be exploited to design an extremely simple assignment strategy. We investigate such statistical properties and the corresponding performance of the simple assignment rules regarding a specific, well-known, NP-hard assignment problem. Although our approach is ¿light-weight¿ in complexity, the strategy provides a significant performance gain compared to static assignments. Finally, we investigate our approach also for other optimization problems in the context of multi-user OFDMA assignments.
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OFDMA分配的统计分析
本文研究了OFDMA小区下行链路IP最优子载波分配的统计性质。从本质上讲,我们表明这样的子载波分配确实具有“隐藏的”统计属性,可以利用这些属性来设计一个极其简单的分配策略。我们研究了一个特定的、众所周知的NP-hard分配问题的简单分配规则的统计性质和相应的性能。虽然我们的方法在复杂性上是“轻量级”的,但与静态分配相比,该策略提供了显着的性能增益。最后,我们还研究了我们的方法在多用户OFDMA分配环境下的其他优化问题。
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