基于非正交多址的认知MIMO网络次用户系统容量优化

发布时间：2018-01-17 14:21

本文关键词：基于非正交多址的认知MIMO网络次用户系统容量优化　出处：《计算机应用》2017年12期 　论文类型：期刊论文

【摘要】：针对未来移动通信系统对大容量、高频谱利用率的需求,提出基于非正交多址(NOMA)技术的认知多输入多输出(MIMO)网络次用户系统容量优化方法。首先对发送信号进行预编码,随后按照信道质量增益对认知用户进行分簇,再对分簇之后的用户进行功率分配,最后将得到的NP-hard型多簇目标函数转化为求各子簇的容量;同时兼顾认知用户服务质量(Qo S)及满足串行干扰消除(SIC)的条件,利用Lagrange函数结合Karush-Kuhn-Tucker(KKT)条件求解出分簇之后的最优功率分配系数,且该系数是0到1之间的常数。仿真结果表明,所提方法优于平均功率分配方法,并且在信道质量较差时,相比基于正交多址(OMA)技术的认知MIMO,显著提高了次用户系统容量。
[Abstract]:Aiming at the demand of large capacity and high spectrum efficiency in the future mobile communication system. This paper presents a method of capacity optimization for cognitive multiple input multiple output (MIMOM) networks based on non-orthogonal multiple access (NOMA) technology. Firstly, the transmitted signals are precoded. Then the cognitive users are clustered according to the channel quality gain, and then the users after clustering are allocated power. Finally, the NP-hard multi-cluster objective function is transformed into the capacity of each sub-cluster. At the same time, the quality of service (QoS) of cognitive users is considered and the condition of serial interference cancellation (SICs) is satisfied. The Lagrange function combined with Karush-Kuhn-Tuckern KKT condition is used to solve the optimal power distribution coefficient after clustering. The simulation results show that the proposed method is superior to the average power allocation method and compared with the orthogonal multiple access (OMA) based cognitive MIMO when the channel quality is poor. Significantly increased secondary user system capacity.
【作者单位】：移动通信技术重庆市重点实验室(重庆邮电大学);
【基金】：长江学者和创新团队发展计划项目(IRT1299) 重庆市科委重点实验室专项经费资助项目(cstc2013yykfA40010)~~
【分类号】：TN919.3
【正文快照】： 0引言认知无线电技术与多输入多输出(Multiple-InputMultiple-Output,MIMO)技术结合的网络称之为认知MIMO网络,其借助MIMO的空域并行传输优势,能够较大幅度提升系统的容量。面对即将到来的5G时代,频谱稀缺依然是一个严峻的问题,而认知MIMO兼具认知无线电的智能灵活性和MIMO的

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