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Location-aware spectrum and power allocation in joint cognitive communication-radar networks

机译:联合认知通信-雷达网络中的位置感知频谱和功率分配

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A novel approach to spectrum and power allocation is proposed for joint cognitive communication-radar networks, which aim at integrating cognitive radio (CR-o) and cognitive radar (CR-r) paradigms to achieve intelligent utilization of spectrum resources in wireless networks. This approach exploits the location information offered by CR-r combined with spectrum sensing capability of CR-o to aid spectrum and power allocation by minimizing harmful interference among neighboring devices. Such systems require both coexistence and sharing of perception of radio environment and radar scene. To offer better spectrum resource utilization, entropy of the received signal is employed in order to detect spectrum holes over the network topology. This entropy-based technique also demonstrates superior performance as compared to the conventional method based on energy detection. Simulation results indicate both throughput improvement and interference reduction among neighboring devices.
机译:提出了一种用于联合认知通信-雷达网络的频谱和功率分配的新方法,该方法旨在集成认知无线电(CR-o)和认知雷达(CR-r)范例,以实现无线网络中频谱资源的智能利用。这种方法利用了CR-r提供的位置信息以及CR-o的频谱感测能力,以通过最大程度地减少相邻设备之间的有害干扰来帮助频谱和功率分配。这样的系统需要无线电环境和雷达场景的共存和共享。为了提供更好的频谱资源利用,采用接收信号的熵来检测网络拓扑上的频谱空洞。与基于能量检测的常规方法相比,这种基于熵的技术还展示了卓越的性能。仿真结果表明吞吐量提高和相邻设备之间的干扰减少。

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