一类具有延迟的因果认知干扰通道的容量区域

M. Mirmohseni, Bahareh Akhbari, M. Aref
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引用次数: 7

摘要

本文研究了具有延迟的因果认知干扰信道(CC-IFC),在这种信道中,认知用户的传输既依赖于过去的符号,也依赖于未来接收到的符号。我们研究了两种特殊情况:无延迟的CC-IFC (L = 1),其中认知用户只能使用当前和过去接收到的符号,以及具有块长度延迟的CC-IFC (L = n),其中可以使用整个接收序列。在每种情况下,我们都得到了容量区域的内界。我们的编码方案基于无延迟CC-IFC的广义块马尔可夫叠加编码和瞬时中继,以及具有块长度延迟的CC-IFC的非因果部分解码和转发(DF)。进一步,我们提供了相反的证明,证明了在某些情况下推导出的内界是紧的。因此,我们描述了在强干扰条件下退化和半确定性无延迟CC-IFC和具有块长度延迟CC-IFC的容量区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Capacity regions for some classes of Causal Cognitive Interference Channels with delay
In this paper, we investigate Causal Cognitive Interference Channel (CC-IFC) with delay in which the cognitive user transmission can depend on L future received symbols as well as the past ones. We study two special cases: CC-IFC without delay (L = 1), where the cognitive user can use only current and past received symbols, and CC-IFC with a block length delay (L = n), wherein the entire received sequence can be used. In each case, we obtain an inner bound on the capacity region. Our coding schemes are based on the generalized block Markov superposition coding and instantaneous relaying for CC-IFC without delay, and non-causal partial Decode-and-Forward (DF) for CC-IFC with a block length delay. Further, providing converse proofs, we show that the derived inner bounds are tight in some cases. Hence, we characterize the capacity regions for the classes of degraded and semi-deterministic CC-IFC without delay and CC-IFC with a block length delay, under strong interference conditions.
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