通信学报 ›› 2017, Vol. 38 ›› Issue (10): 157-165.doi: 10.11959/j.issn.1000-436x.2017130

• 学术通信 • 上一篇    下一篇

新的NOMA功率分配策略

曹雍,杨震,冯友宏   

  1. 南京邮电大学宽带无线通信教育部重点实验室,江苏 南京 210023
  • 修回日期:2017-03-22 出版日期:2017-10-01 发布日期:2017-11-16
  • 作者简介:曹雍(1992-),男,江苏徐州人,南京邮电大学硕士生,主要研究方向为无线通信领域的 NOMA 的用户公平性和用户间功率分配等。|杨震(1961-),男,江苏苏州人,南京邮电大学教授、博士生导师,主要研究方向为无线通信中的通信与信号处理技术、新的压缩感知和非线性自适应语音信号处理理论。|冯友宏(1979-),男,安徽池州人,南京邮电大学博士生,安徽师范大学副教授,主要研究方向为协作通信NOMA技术以及物理层安全。
  • 基金资助:
    国家自然科学基金资助项目(61671252);江苏省高校研究生科研创新计划基金资助项目(KYLX15_0833)

New NOMA power allocation strategy

Yong CAO,Zhen YANG,You-hong FENG   

  1. Key Lab of Broadband Wireless Communication of Ministry of Education,Nanjing University of Posts and Telecommunications,Nanjing 210023,China
  • Revised:2017-03-22 Online:2017-10-01 Published:2017-11-16
  • Supported by:
    The National Natural Science Foundation of China(61671252);Jiangsu Province University Graduate Re-search and Innovation Project(KYLX15_0833)

摘要:

下行链路非正交多址接入技术(NOMA)可以有效提高频谱效率和数据速率,已经广泛应用到第5代通信技术的研究中。为了确保用户的服务质量,针对提高边缘小区用户公平性问题,提出一种新的功率分配策略。根据比例公平方法,在保证每个用户最低数据速率约束下,最大化复用用户中公平性最差的用户的比例公平因子。然后,将此非凸的目标函数转换成凸函数,用KKT最优约束条件求出问题的最优解。仿真证明,新的基于NOMA的功率分配方案,系统性能优于传统的正交多址接入(OMA)技术。

关键词: 非正交多址, 比例公平, 功率分配, KKT条件

Abstract:

Non-orthogonal multiple access(NOMA) has been widely used in the research of the fifth generation communication,due to the advantages of improving the spectrum efficiency and data rate.In order to guarantee the service of users,a new power allocation strategy was proposed to improve the fairness of users in the cell edge.According to the proportional fairness method,the goal was to maximize the proportionality fairness factor among the users with the least fairness in multiplexed users.The nonconvex objective function was transformed into convex function,and the optimal solution of problem was obtained by KKT optimal constraint condition.Simulation results show that the new NOMA-based power allocation strategy proposed outperforms the traditional orthogonal multiple access technology (OMA).

Key words: NOMA, proportional fairness, power allocation, KKT condition

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