Cognitive Network Interference
Cognitive Network Interference
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DOI：
10.1109/jsac.2011.110219
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发表时间：
2011-02-01
影响因子：
16.4
通讯作者：
Win, Moe Z.
中科院分区：
文献类型：
--
作者：
Rabbachin, Alberto;Quek, Tony Q. S.;Win, Moe Z.
机会性频谱接入可以开放许可频谱中未充分利用的部分以供重用，前提是辅助无线电的传输不会对主要用户造成有害干扰。这样的系统需要二级用户具有认知能力——他们必须准确检测并快速响应不断变化的频谱使用情况。因此，表征二次频谱复用造成的认知网络干扰的影响非常重要。在本文中，我们提出了一种新的认知网络聚合干扰统计模型，该模型考虑了感知过程、辅助空间重用协议以及路径损耗、阴影和信道衰落等环境相关条件。我们首先推导主用户认知网络干扰的特征函数和累积量。然后，我们利用截断稳定分布理论，开发了认知网络干扰的统计模型。我们进一步扩展该模型以包括功率控制的影响，并演示我们的模型在评估认知网络系统性能中的用途。数值结果表明我们的模型在捕获认知网络干扰的统计行为方面的有效性。这项工作为成功部署未来认知网络提供了对干扰的基本理解。
Opportunistic spectrum access creates the opening of under-utilized portions of the licensed spectrum for reuse, provided that the transmissions of secondary radios do not cause harmful interference to primary users. Such a system would require secondary users to be cognitive-they must accurately detect and rapidly react to varying spectrum usage. Therefore, it is important to characterize the effect of cognitive network interference due to such secondary spectrum reuse. In this paper, we propose a new statistical model for aggregate interference of a cognitive network, which accounts for the sensing procedure, secondary spatial reuse protocol, and environment-dependent conditions such as path loss, shadowing, and channel fading. We first derive the characteristic function and cumulants of the cognitive network interference at a primary user. Using the theory of truncated-stable distributions, we then develop the statistical model for the cognitive network interference. We further extend this model to include the effect of power control and demonstrate the use of our model in evaluating the system performance of cognitive networks. Numerical results show the effectiveness of our model for capturing the statistical behavior of the cognitive network interference. This work provides essential understanding of interference for successful deployment of future cognitive networks.