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Optimal resource allocation for hybrid interweave-underlay cognitive SatCom uplink

机译:混合交织-底层认知SatCom上行链路的最佳资源分配

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Cognitive satellite terrestrial networks have received widespread attention recently for improving the spectrum utilization. In this paper, a hybrid interweave-underlay spectrum access (HIUSA) scheme based on spectrum sensing in 5GHz license-exempt spectrum is proposed, which eliminates the performance degradation brought by inaccurate parameters estimation of the interference link in a large extent, and enhances the throughput of the cognitive system substantially. While analyzing relevant details, we also focus on the resource allocation (RA) problem in this scenario, the RA problem takes the maximum throughput of the cognitive satellite communications (SatCom) as target, and subjects to the requirements of cognitive terminals. Then, the convex RA problem is solved by a simplified iteration algorithm. Extensive simulation results are given to demonstrate the performance and effectiveness of the proposed HIUSA scheme as well as the RA approach, by contrasting with the legacy system as well as the common method.
机译:认知卫星地面网络最近已得到广泛关注,以提高频谱利用率。本文提出了一种在5GHz免许可证频谱中基于频谱感知的混合交织底层频谱接入(HIUSA)方案,该方案在很大程度上消除了干扰链路参数估计不准确带来的性能下降,并增强了认知系统的吞吐量。在分析相关细节时,我们还将重点放在这种情况下的资源分配(RA)问题上,RA问题以认知卫星通信(SatCom)的最大吞吐量为目标,并服从认知终端的要求。然后,通过简化的迭代算法解决凸RA问题。通过与传统系统和通用方法进行对比,给出了广泛的仿真结果,以证明所提出的HIUSA方案以及RA方法的性能和有效性。

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