• 中国精品科技期刊
  • CCF推荐A类中文期刊
  • 计算领域高质量科技期刊T1类
Advanced Search
Zhang Degan, Zhang Ting, Zhang Jie, Zhou Shan. A New Power-Resource Allocation Algorithm with Interference Restraining Based on FBMC-OQAM[J]. Journal of Computer Research and Development, 2018, 55(11): 2511-2521. DOI: 10.7544/issn1000-1239.2018.20170710
Citation: Zhang Degan, Zhang Ting, Zhang Jie, Zhou Shan. A New Power-Resource Allocation Algorithm with Interference Restraining Based on FBMC-OQAM[J]. Journal of Computer Research and Development, 2018, 55(11): 2511-2521. DOI: 10.7544/issn1000-1239.2018.20170710

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

More Information
  • Published Date: October 31, 2018
  • 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.
  • Related Articles

    [1]Yu Yaxin, Zhang Wenchao, Li Zhenguo, Li Ying. Hypergraph-Based Personalized Recommendation & Optimization Algorithm in EBSN[J]. Journal of Computer Research and Development, 2020, 57(12): 2556-2570. DOI: 10.7544/issn1000-1239.2020.20190275
    [2]Fu Yongquan, Li Dongsheng. Application Driven Network Latency Measurement Analysis and Optimization Techniques Edge Computing Environment: A Survey[J]. Journal of Computer Research and Development, 2018, 55(3): 512-523. DOI: 10.7544/issn1000-1239.2018.20170793
    [3]Li Chunhua, Wang Hua, Zhang Yanzhe, Zhou Ke. Optimization for Broadcast Encryption in Cloud Using Extended Public Key[J]. Journal of Computer Research and Development, 2017, 54(12): 2818-2824. DOI: 10.7544/issn1000-1239.2017.20170902
    [4]Wu Fenfen, Liu Ligang. Stable Equilibrium Optimization for 3D Printed Objects[J]. Journal of Computer Research and Development, 2017, 54(3): 549-556. DOI: 10.7544/issn1000-1239.2017.20150911
    [5]Zhong Ming, Wang Sheng, and Liu Mengchi. An Optimization Approach of Known-Item Search on Large-Scale Graph Data[J]. Journal of Computer Research and Development, 2014, 51(1): 54-63.
    [6]Zhao Yuelong, Xie Xiaoling, Cai Yongcai, Wang Guohua, and Liu Lin. A Strategy of Small File Storage Access with Performance Optimization[J]. Journal of Computer Research and Development, 2012, 49(7): 1579-1586.
    [7]Tang Tao, Yang Xuejun, and Lin Yisong. Locality Analysis and Optimization for Stream Programs Based on Iteration Sequence[J]. Journal of Computer Research and Development, 2012, 49(6): 1363-1375.
    [8]Zhao Xia, Guo Yao, Chen Xiangqun. Research Progresses on Energy-Efficient Software Optimization Techniques[J]. Journal of Computer Research and Development, 2011, 48(12): 2308-2316.
    [9]Wang Jin, Li Dequan, and Feng Dengguo. An Automatically Optimized Distributed Intrusion Detection System Using Mobile Agent[J]. Journal of Computer Research and Development, 2006, 43(1): 9-14.
    [10]Dou Quansheng, Zhou Chunguang, and Ma Ming. Two Improvement Strategies for Particle Swarm Optimization[J]. Journal of Computer Research and Development, 2005, 42(5): 897-904.
  • Cited by

    Periodical cited type(2)

    1. 张皓宇,单薇薇,方晓,王艳. 基于云桌面技术的虚拟专用网络动态资源分配方法. 电子设计工程. 2021(15): 189-193 .
    2. 刘思,张德干,刘晓欢,张婷,吴昊. 一种基于判定区域的AODV路由的自适应修复算法. 计算机研究与发展. 2020(09): 1898-1910 . 本站查看

    Other cited types(0)

Catalog

    Article views (1096) PDF downloads (287) Cited by(2)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return