认知无线电网络中泊松和马尔可夫主模型的比较
Comparison between Poissonian and Markovian Primary Traffics in Cognitive Radio Networks
摘要：
认知无线电作为传统通信网络中频谱利用率不足的关键成本效益解决方案引起了人们的极大兴趣。这项工作的目的在于进行性能评估的端到端的消息传递下的马尔可夫和泊松的主要业务在有损认知无线电网络。我们的目标是推断出最合适的条件，有效的辅助服务提供根据认知无线电网络的特点。同时，我们对认知无线电中的许多尚未解决的问题进行了一般性的分析，但最后只考虑了两个关键方面，即不可预见的主要回收以及由于频谱共享而导致的认知传输冲突。一些图表，鉴于平均频谱效率，已经计算和绘制报告的一些比较结果，对于一个给定的视频传输下的马尔可夫和泊松主要中断。
英文摘要：
Cognitive Radio generates a big interest as a key cost-effective solution for the underutilization of frequency spectrum in legacy communication networks. The objective of this work lies in conducting a performance evaluation of the end-to-end message delivery under both Markovian and Poissonian primary traffics in lossy Cognitive Radio networks. We aim at inferring the most appropriate conditions for an efficient secondary service provision according to the Cognitive Radio network characteristics. Meanwhile, we have performed a general analysis for many still open issues in Cognitive Radio, but at the end only two critical aspects have been considered, namely, the unforeseen primary reclaims in addition to the collided cognitive transmissions due to the Opportunistic Spectrum Sharing. Some graphs, in view of the average Spectral Efficiency, have been computed and plotted to report some comparative results for a given video transmission under the Markovian and the Poissonian primary interruptions.
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