Optimal Energy Harvesting-based Weighed Cooperative Spectrum Sensing in Cognitive Radio Network
Optimal Energy Harvesting-based Weighed Cooperative Spectrum Sensing in Cognitive Radio Network
复制标题
认知无线电网络中基于最优能量收集的加权协作频谱感知
DOI：
10.1007/s11036-016-0711-y
复制
发表时间：
2016-12-01
影响因子：
3.8
通讯作者：
Na, Zhenyu
中科院分区：
文献类型：
--
作者：
Liu, Xin;Chen, Kunqi;Na, Zhenyu
在认知无线电(CR)网络中，为了提高协作频谱感知中对主用户(PU)的频谱感知性能，降低次用户(SU)的能量浪费，提出了一种基于能量采集的加权协作频谱感知算法。SU采集PU信号的射频(RF)能量，然后将RF能量转换为电能，以提供用于能量检测和协作的功率。为了实现这一概念，提出了时间切换模型和功率分割模型。在时间切换模型中，SU随时执行频谱感知或能量采集，而在功率分割模型中，接收到的PU信号被分成两个信号流，一个用于频谱感知，另一个用于能量采集。提出了一个联合优化问题，通过联合优化感知时间、协作SU个数和分裂因子来最大化SU的频谱接入概率。仿真结果表明，与传统的协作频谱感知相比，基于能量采集的加权协作频谱感知在保证最大频谱接入概率的前提下，能显著降低能量浪费。
In cognitive radio (CR) network, to improve spectrum sensing performance to primary user (PU) and decrease energy wastage of secondary user (SU) in cooperative spectrum sensing, an energy harvesting-based weighed cooperative spectrum sensing is proposed in this paper. The SU harvests the radio frequency (RF) energy of the PU signal and then converts the RF energy into the electric energy to supply the power used for energy detection and cooperation. The time switching model and power splitting model are developed to realize the notion. In the time switching model, the SU performs either spectrum sensing or energy harvesting at any time, while in the power splitting model, the received PU signal is split into two signal streams, one for spectrum sensing and the other one for energy harvesting. A joint optimization problem is formulated to maximize the spectrum access probability of the SU by jointly optimizing sensing time, number of cooperative SUs and splitting factor. The simulation results have shown that compared to the traditional cooperative spectrum sensing, the proposed energy harvesting-based weighed cooperative spectrum sensing can decrease the energy wastage obviously while guaranteeing the maximum spectrum access probability.