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首页> 外文会议>2018 3rd International Conference on Computer and Communication Systems >Transmit Power Allocation for Distributed Spectrum Sensing in the Presence of Cochannel Interference
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Transmit Power Allocation for Distributed Spectrum Sensing in the Presence of Cochannel Interference

机译：共信道干扰存在下的分布式频谱感知发射功率分配

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摘要

The distributed spectrum sensing, in which multiple secondary users (SUs) cooperatively perform spectrum sensing, has been shown to be beneficial in improving the spectrum-hole detection performance significantly. This paper hence considers the model of distributed spectrum sensing. In addition, this paper focuses on the hybrid strategy, which combines the underlay and interweave approaches. This paper also considers the scenario, in which each SU is in the presence of co-channel interference when performing distributed spectrum sensing and data transmission. Based on the conducted performance analysis of the considered distributed model, this paper studies the transmit power allocation problem for the distributed spectrum sensing network. The power allocation problems have also been extensively studied in the literature. However, most of them are discussed in the scenario of underlay spectrum-sharing networks. As opposed to the existing works, this paper considers the power allocation problem in the hybrid paradigm and the scenario, in which the received signal at each SU is in the presence of co-channel interference. We formulate our power allocation problem as an optimization problem. The optimization problem is to seek the best power allocation scheme to maximize the throughput of secondary network while satisfying the total transmit power budget and the target SINR constraint of the primary network. The person by person optimization (PBPO) approach is used to solve the above optimization problem. Our results confirm that the proposed optimal power allocation scheme outperforms the uniform power allocation scheme.
机译：多个二次用户（SU）共同执行频谱感测的分布式频谱感测，已显示出对显着提高频谱孔检测性能的好处。因此，本文考虑了分布式频谱感知的模型。此外，本文重点介绍混合策略，该策略将底层和交织方法相结合。本文还考虑了以下场景：每个SU在执行分布式频谱感测和数据传输时都存在同信道干扰。在对所考虑的分布式模型进行性能分析的基础上，研究了分布式频谱感知网络的发射功率分配问题。功率分配问题也已在文献中进行了广泛研究。但是，大多数都是在底层频谱共享网络的情况下讨论的。与现有工作相反，本文考虑了混合范式和场景中的功率分配问题，其中每个SU处的接收信号都存在同信道干扰。我们将功率分配问题表述为优化问题。优化问题是寻求最佳功率分配方案，以在满足总发射功率预算和主网络的目标SINR约束的同时，最大化辅助网络的吞吐量。逐人优化（PBPO）方法用于解决上述优化问题。我们的结果证实，所提出的最佳功率分配方案优于统一功率分配方案。

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