吉林大学学报(信息科学版) ›› 2023, Vol. 41 ›› Issue (3): 410-416.

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基于 GA 的认知物联网功率自适应 PIS 算法

孙振兴1a, 钱锦彬2, 南春萍1b, 沙国辉2, 胥子昂2   

  1. 1. 东北石油大学秦皇岛校区 a. 电气信息工程系; b. 基础部, 河北 秦皇岛 066004;2. 东北石油大学 电气信息工程学院, 黑龙江 大庆 163318
  • 收稿日期:2022-12-27 出版日期:2023-06-08 发布日期:2023-06-14
  • 作者简介:孙振兴(1981— ), 男, 黑龙江鹤岗人, 东北石油大学副教授, 硕士生导师, 主要从事超密集网络中的协作传输和干扰管理等研究,(Tel)86-17717150027(E-mail)2824133787@ qq. com。
  • 基金资助:
    黑龙江省自然科学基金资助项目(LH2022F004); 东北石油大学青年科学基金资助项目(2020QNQ-05)

GA-Based Power Adaptive PIS Algorithm for Cognitive Internet of Things

SUN Zhenxing1a, QIAN Jinbin2, NAN Chunping1b, SHA Guohui2, XU Zi'ang2   

  1. 1a. Department of Electrical Information Engineering; 1b. Basic Department, Northeast Petroleum University-Qinhuangdao, Qinhuangdao 066004, China; 2. School of Electrical and Information Engineering, Northeast Petroleum University, Daqing 163318, China
  • Received:2022-12-27 Online:2023-06-08 Published:2023-06-14

摘要: 针对并发频谱接入模型下的认知物联网(C-IoT: Cognitive Internet of Things)系统中的干扰管理问题, 提出一种基于遗传算法(GA: Genetic Algorithm)的 C-IoT 功率自适应部分干扰转向(PIS: Partial Interference Steering)算法。 该算法能在同时保证主用户(PU: Primary User)和认知用户(CU: Cognitive User)服务质量的前提下提高系统的频谱效率。 仿真结果表明, 该算法能在寻求系统最优频谱效率时快速收敛, 求出此时 PU 和 CU 期望信号的最佳发射功率。 在主发射机、 PU 和 CU 相对位置确定的场景下, 根据用户的平均违反约束程度 Dcv_ave,能求解出可接入授权频谱认知发射机的最佳空间分布区域。

关键词: 认知物联网; , 干扰转向; , 遗传算法; , 功率分配

Abstract: A GA(Genetic Algorithm) based C-IoT(Cognitive Internet of Things) power adaptive PIS( Partial Interference Steering) algorithm is proposed for the interference management problem in C-IoT(Cognitive Internet of Things) systems under the concurrent spectrum access model. The algorithm can improve the spectrum fficiency of the system while ensuring the quality of service for both the PU ( Primary User) and the CU (Cognitive User). The simulation results show that the algorithm can converge quickly in seeking the optimal spectral efficiency of the system and calculate the optimal transmitting power of the PU and CU desired signals. In the scenario where the relative positions of the primary transmitter, PU and CU are determined, the optimal spatial distribution of the cognitive transmitters with access to the authorized spectrum can be solved based on the average degree of constraint violation Dcv_ave by the users.

Key words: cognitive internet of things; , interference steering; , genetic algorithm; , power allocation

中图分类号: 

  • TP929. 5