...
首页> 外文期刊>IEEE Transactions on Communications >OTFS Signaling for Uplink NOMA of Heterogeneous Mobility Users
【24h】

OTFS Signaling for Uplink NOMA of Heterogeneous Mobility Users

机译:异构移动用户的上行链路NOMA的OTFS信号

获取原文
获取原文并翻译 | 示例
           

摘要

We investigate a coded uplink non-orthogonal multiple access (NOMA) configuration in which groups of co-channel users are modulated in accordance with orthogonal time frequency space (OTFS). We take advantage of OTFS characteristics to achieve NOMA spectrum sharing in the delay-Doppler domain between stationary and mobile users. We develop an efficient iterative turbo receiver based on the principle of successive interference cancellation (SIC) to overcome the co-channel interference (CCI). We propose two turbo detector algorithms: orthogonal approximate message passing with linear minimum mean squared error (OAMP-LMMSE) and Gaussian approximate message passing with expectation propagation (GAMP-EP). The interactive OAMP-LMMSE detector and GAMP-EP detector are respectively assigned for the reception of the stationary and mobile users. We analyze the convergence performance of our proposed iterative SIC turbo receiver by utilizing a customized extrinsic information transfer (EXIT) chart and simplify the corresponding detector algorithms to further reduce receiver complexity. Our proposed iterative SIC turbo receiver demonstrates performance improvement over existing receivers and robustness against imperfect SIC process and channel state information uncertainty.
机译:我们调查编码上行链路非正交多址(NOMA)配置,其中根据正交时频率空间(OTF)调制一组共同信道用户。我们利用OTFS特征来实现静止和移动用户之间的延迟多普勒域中的NOMA谱共享。我们基于连续干扰消除(SIC)的原理开发了一个高效的迭代涡轮接收器,以克服共信道干扰(CCI)。我们提出了两个涡轮探测器算法:通过线性最小均方误差(OAMP-LMMSE)和通过期望传播的高斯近似消息(GAMP-EP)来传递两种涡轮近似消息。分别为静止和移动用户的接收分配交互式OAMP-LMMSE检测器和垃圾效果检测器。我们通过利用定制外在信息传输(退出)图表来分析我们提出的迭代SIC Turbo接收器的收敛性能,并简化了相应的检测算法以进一步降低接收器复杂性。我们建议的迭代SIC涡轮增压器展示了对现有接收者的绩效改进和针对不完美的SIC进程和渠道状态信息不确定性的鲁棒性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号