Slotted ALOHA with compute-and-forward

Shwan Ashrafi, Chen Feng, Sumit Roy, F. Kschischang
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引用次数: 6

Abstract

The benefit of applying compute-and-forward (C&F) to slotted ALOHA (S-ALOHA) systems is studied. A Markov chain model is introduced, and an approximate stability region is given. It is shown that the approximate region is asymptotically exact as the number of users tends to infinity. It is also shown that the approximate region is very accurate even for systems with a small number of users. Further, based on the approximate region, simple expressions for the throughput and delay performance of S-ALOHA with C&F are derived, demonstrating the significant advantages offered by C&F.
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开槽ALOHA与计算机和向前
研究了在开槽ALOHA (S-ALOHA)系统中应用计算前向(C&F)的优点。引入了马尔可夫链模型,并给出了近似稳定区域。结果表明,当用户数量趋于无穷时,近似区域是渐近精确的。结果表明,该近似区域即使对于用户数量较少的系统也是非常精确的。在近似区域的基础上,导出了具有C&F的S-ALOHA的吞吐量和延迟性能的简单表达式,证明了C&F的显著优势。
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