Joint resource optimization for DF relaying SWIPT based cognitive sensor networks
Joint resource optimization for DF relaying SWIPT based cognitive sensor networks
复制标题
DOI：
10.1016/j.phycom.2018.02.003
复制
发表时间：
2018-04
期刊：
影响因子：
--
通讯作者：
Hong Peng;Yuanrong Lin;Weidang Lu;Linfu Xie;Xin Liu;Jingyu Hua
中科院分区：
文献类型：
--
作者：
Hong Peng;Yuanrong Lin;Weidang Lu;Linfu Xie;Xin Liu;Jingyu Hua
频谱和能量是无线传感器网络的两个重要资源。认知无线电（CR）通过允许次用户（SU）接入授权频带来提高频谱利用效率，只要它们不显著影响主用户（PU）的性能。同时无线信息和功率传输（SWIPT）可以同时从射频（RF）信号中获取能量并解码信息，这可以延长能量受限网络的寿命（例如，无线传感器网络）。针对基于SWIPT的解码转发（DF）中继认知传感器网络（CSNs），提出了一种基于发射功率和功率分配比的联合资源优化方案，中继传感器节点（RSN）通过功率分配（PS）接收机架构从源传感器节点（SSN）的信号中获取能量，并利用所获取的能量帮助转发SSN信息.在保证SU对PU的干扰小于干扰阈值的情况下，最大化SU的吞吐量。仿真结果验证了联合资源优化方案的性能。
Spectrum and energy are two important resources for wireless sensor networks (WSNs). Cognitive Radio (CR) can improve the efficiency of spectrum utilization by allowing secondary users (SUs) access to the licensed bands as long as they do not significantly affect the performance of primary users (PUs). Simultaneous wireless information and power transfer (SWIPT) can harvest energy and decode information simultaneously from radio-frequency (RF) signal, which can prolong the life time of energy-constraint networks (e.g., WSNs). In this paper, we propose a joint resource optimization scheme in respect of transmission power and power splitting ratio for decode-and-forward (DF) relaying SWIPT based cognitive sensor networks (CSNs), where relay sensor node (RSN) harvests energy from the signal of source sensor node (SSN) by using power splitting (PS) receiver architecture and utilize the harvested energy to help forward SSNs information. We maximize the throughput of SUs while guaranteeing the interference to PUs caused by SUs is smaller than the interference threshold. Simulation results demonstrate the performance of the joint resource optimization scheme.