支持5G物联网的NOMA-CR功率分配

Mohammed Basheri, Mohammad Haseeb Zafar, Imran Khan
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摘要

:在功率域,NOMA (non-orthogonal multiple access)支持在同一时频资源上的多个用户,为不同的用户分配不同的传输功率,并根据用户信道增益来区分用户。在发射端通过主动实施可控干扰信息,将多用户信号叠加并在功率域中传输,在接收端通过连续干扰抵消(SIC)等多用户检测算法解调必要的用户信号。与正交传输法相比,非正交传输法可以实现更高的频谱利用率。但是,这会增加接收方的复杂度。随着微电子技术的发展,芯片处理能力不断提高,为非正交传输技术的实际应用奠定了基础。在NOMA中,不同的用户通过不同的功率级别来区分。因此,功率分配对NOMA系统的性能有很大的影响。为了解决这个问题,本研究提出了将功率分成两部分的想法,即子带内和子带间,作为一种有用的算法。然后,采用比例公平调度和注水算法求解这类优化问题。最后,对误差传播进行了建模,并对残余干扰进行了分析。仿真结果表明,该技术有效地提高了系统在各种操作设置下的吞吐量和性能。并与现有算法进行了性能评价的比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power Allocation in NOMA-CR for 5G Enabled IoT Networks
: In the power domain, non-orthogonal multiple access (NOMA) supports multiple users on the same time-frequency resources, assigns different transmission powers to different users, and differentiates users by user channel gains. Multi-user signals are superimposed and transmitted in the power domain at the transmitting end by actively implementing con-trollable interference information, and multi-user detection algorithms, such as successive interference cancellation (SIC) is performed at the receiving end to demodulate the necessary user signals. In contrast to the orthogonal transmission method, the non-orthogonal method can achieve higher spectrum utilization. However, it will increase the receiver complexity. With the development of microelectronics technology, chip processing capabilities continue to increase, laying the foundation for the practical application of non-orthogonal transmission technology. In NOMA, different users are differentiated by different power levels. Therefore, the power allocation has a considerable impact on the NOMA system performance. To address this issue, the idea of splitting power into two portions, intra-subbands and inter-subbands, is proposed in this study as a useful algorithm. Then, such optimization problems are solved using proportional fair scheduling and water-filling algorithms. Finally, the error propagation was modeled and analyzed for the residual interference. The proposed technique effectively increased the system throughput and performance under various operating settings according to simulation findings. A comparison is performed with existing algorithms for performance evaluation.
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