首页> 外文期刊>IEEE Transactions on Vehicular Technology >A Fair Power Allocation Approach to NOMA in Multiuser SISO Systems
【24h】

A Fair Power Allocation Approach to NOMA in Multiuser SISO Systems

机译:多用户SISO系统中NOMA的公平功率分配方法

获取原文
获取原文并翻译 | 示例
       

摘要

A nonorthogonal multiple access (NOMA) approach that always outperforms orthogonal multiple access (OMA) called Fair-NOMA is introduced. In Fair-NOMA, each mobile user is allocated its share of the transmit power such that its capacity is always greater than or equal to the capacity that can be achieved using OMA. For any slow-fading channel gains of the two users, the set of possible power allocation coefficients is derived. For the infimum and supremum of this set, the individual capacity gains and the sum-rate capacity gain are derived. It is shown that the ergodic sum-rate capacity gain approaches 1 b/s/Hz when the transmit power increases for the case when pairing two random users with independent identically distributed channel gains. The outage probability of this approach is derived and shown to be better than OMA. The Fair-NOMA approach is applied to the case of pairing a near base-station user and a cell-edge user and the ergodic capacity gap is derived as a function of total number of users in the cell at high SNR. This is then compared to the conventional case of fixed-power NOMA with user pairing. Finally, Fair-NOMA is extended to K users and it is proven that the capacity can always be improved for each user, while using less than the total transmit power required to achieve OMA capacities per user.
机译:介绍了一种总是优于正交多路访问(OMA)的非正交多路访问(NOMA)方法,称为Fair-NOMA。在Fair-NOMA中,为每个移动用户分配了自己的发射功率份额,以使其容量始终大于或等于使用OMA可以实现的容量。对于两个用户的任何慢衰落信道增益,都得出了一组可能的功率分配系数。对于该集合的最小和最大,得出单个容量增益和总速率容量增益。结果表明,当将两个随机用户与独立的均匀分布的信道增益配对时,当发射功率增加时,遍历总速率容量增益接近1 b / s / Hz。推导了这种方法的中断概率,并证明它比OMA更好。 Fair-NOMA方法适用于将近基站用户和小区边缘用户配对的情况,并且遍历容量差距是高SNR下小区中用户总数的函数。然后将其与具有用户配对的固定功率NOMA的常规情况进行比较。最终,将Fair-NOMA扩展到K个用户,并证明了始终可以为每个用户提高容量,同时使用的能量少于为每个用户实现OMA容量所需的总发射功率。

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