| 摘要: |
| 针对无线供能反向散射通信网络，提出了一种满足传感设备通信需求及能量因果的专用能量站能耗最小化资源分配方法。在考虑非线性能量收集模型及不完美串行干扰消除基础上，通过联合优化专用能量站发射功率、传感设备反向散射通信时间、反向散射系数及其能量收集时间，构建了一个专用能量站能耗最小化的非凸多维资源分配问题。首先，构建辅助变量对反向散射系数与时间进行解耦，再利用目标函数是关于专用能量站发射功率的单调递减函数这一特性来设计一种基于二分法的迭代算法来获取原问题的最优解。仿真验证了所提算法的快速收敛性，同时，与同类算法相比，所提方法可为专用能量站节约更多的能量。 |
| 关键词: 无线供能反向散射通信(WPBC) 资源分配 能量收集 能耗最小化 |
| DOI：10.20079/j.issn.1001-893x.221213001 |
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| 基金项目:国家自然科学基金资助项目（62201451） |
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| Energy Consumption Minimization Resource Allocation in Wireless Powered Backscatter Communications |
| CAO Xiaohong,DANG Xiaojuan,CHEN Jiangping,PAN Hong,YE Yinghui |
| (1.College of Information Engineering,Shaanxi Fashion Engineering University,Xi’an 712046，China;2.Shaanxi Information Communication Network and Security Laboratory,Xi’an University of Posts and Telecommunications,Xi’an 710121,China) |
| Abstract: |
| For a wireless powered backscatter communication(WPBC) network,an energy consumption of the power beacon minimization resource allocation scheme while satisfying the communication requirement and the energy-causality constraint of wireless sensor nodes is proposed.Considering the non-linear energy harvesting model and imperfect successive interference cancellation,a non-convex multi-dimensional resource allocation problem is formulated to minimize the energy consumption of the power beacon by jointly optimizing the transmit power of the power beacon,the backscatter time,the backscatter reflection coefficient and energy harvesting time of each wireless sensor node.Firstly,auxiliary variables are constructed to decouple the coupling between the backscatter reflection coefficient and energy harvesting time.Then,a bisection based iterative algorithm is designed to obtain the optimal solution of the original problem by utilizing the fact that the objective function is a monotonically decreasing function with respect to the transmit power of the power beacon.Simulation results verify the fast convergence of the iterative algorithm and confirm that the proposed algorithm consumes much less energy than the benchmark algorithms. |
| Key words: wireless powered backscatter communication(WPBC) resource allocation backscatter communication energy harvesting energy consumption minimization |
