ISSN 1000-1239 CN 11-1777/TP

• 信息安全 •

### 一种基于FBMC-OQAM干扰抑制的功率资源分配新算法

1. 1(Key Laboratory of Computer Vision and System (Tianjin University of Technology), Ministry of Education, Tianjin 300384）; 2(Tianjin Key Laboratory of Intelligent Computing & Novel Software Technology(Tianjin University of Technology), Tianjin 300384）; 3(Beijing No.20 High School, Beijing 100085)
• 出版日期: 2018-11-01
• 基金资助:
国家自然科学基金项目(61571328);天津市重大科技专项(15ZXDSGX00050,16ZXFWGX00010);天津市科技支撑重点项目(17YFZCGX00360);天津市自然科学基金项目(15JCYBJC46500);天津市科技创新团队项目(12-5016,2015-23)

### A New Power-Resource Allocation Algorithm with Interference Restraining Based on FBMC-OQAM

Zhang Degan1,2, Zhang Ting1,2, Zhang Jie3, Zhou Shan1,2

1. 1(计算机视觉与系统教育部重点实验室(天津理工大学) 天津 300384）; 2(天津市智能计算及软件新技术重点实验室(天津理工大学) 天津 300384）; 3(北京第二十中学 北京 100085) (gandegande@126.com)
• Online: 2018-11-01

Abstract: By taking the energy efficiency as the objective function, a nonlinear programming problem with nonlinear constraints is studied under the constraints of time delay and transmission power. That is to say, a kind of new power-resource allocation algorithm (PAA) with interference restraining based on FBMC-OQAM (filter bank multicarrier-offset quadrature amplitude modulation) has been presented in this paper, which can improve the energy efficiency of entire network resource and protect small-cell user (SU) in the network from too much interference while virtual queue is used to transform the extra packet delay caused by the contention for channel of multi-user into the queuing delay in the virtual queue. An iterative algorithm for PAA to solve the problem is used. The fractional objective function is transformed into polynomial form, and the global optimal solution is obtained by iteration after reducing the computational complexity. At the same time, a sub-optimal method is developed to reduce computational complexity and some performance. The simulation results show that the optimal algorithm has higher performance and the sub-optimal method has lower computational complexity. The designed algorithm has important value for the practical applications, such as the Internet of things, Internet of vehicles, signal processing, artificial intelligence, and so on. Now, it has been used in our project on cognitive radio network (CRN) to solve the problem of power resource allocation.