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首页> 外文会议>2010 5th International Symposium on Telecommunications >Optimum number of secondary users and optimum fusion rule in cooperative spectrum sensing to maximize channel throughput
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Optimum number of secondary users and optimum fusion rule in cooperative spectrum sensing to maximize channel throughput

机译：协作频谱感知中的最佳辅助用户数量和最佳融合规则，以最大化信道吞吐量

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摘要

In cognitive radio networks, secondary users can be coordinated to perform cooperative spectrum sensing to achieve higher detection accuracy. However, when the number of cooperative users increases, more overhead traffic of decision transmission introduced to network and throughput of cognitive radio network decreases. Furthermore, the performance of cooperative spectrum sensing is limited by the probability of reporting errors. In this paper, first we study optimal number of secondary users in cooperative spectrum sensing to maximize the achievable throughput for the secondary network under the constraint that the primary users are sufficiently protected. We formulate the optimization problem mathematically for cognitive radio networks over Rayleigh fading channels, which affects on decision reporting error. Then, we investigate the effect of fusion rule parameter on the throughput performance and develop the optimization model to increase the maximum achievable throughput. Numerical and simulation results will prove that the final optimization problem yields the highest throughput for the secondary network.
机译：在认知无线电网络中，可以协调次要用户以执行协作频谱感测，以实现更高的检测精度。然而，当合作用户的数量增加时，更多的引入到网络中的决策传输的开销业务和认知无线电网络的吞吐量下降。此外，协作频谱感测的性能受到报告错误的可能性的限制。在本文中，首先，我们在协作频谱感知中研究了最佳次要用户数，以在主要用户得到充分保护的约束下最大化次要网络可实现的吞吐量。我们在数学上为瑞利衰落信道上的认知无线电网络制定了优化问题，这会影响决策报告错误。然后，我们研究了融合规则参数对吞吐性能的影响，并开发了优化模型以增加最大可达到的吞吐率。数值和仿真结果将证明，最终的优化问题为辅助网络带来了最高的吞吐量。

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