Downlink Asynchronous Non-Orthogonal Multiple Access With Quantizer Optimization

Downlink Asynchronous Non-Orthogonal Multiple Access With Quantizer Optimization
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DOI:
10.1109/lwc.2020.2998407
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发表时间:
2020-05
影响因子:
6.3
通讯作者:
Xun Zou;M. Ganji;H. Jafarkhani
Xun Zou;M. Ganji;H. Jafarkhani
中科院分区:
计算机科学2区
文献类型:
--
作者:
Xun Zou;M. Ganji;H. Jafarkhani

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在这封信中,我们研究了两个用户的下行链路异步非正交多址接入(ANOMA)有限反馈。我们采用最大-最小准则的功率分配和推导出的最大-最小速率的上限和下限的封闭形式的表达式。结果表明,与非正交多址接入(NOMA)相比,ANOMA可以以更低的反馈速率获得相同甚至更高的平均最大最小速率。此外,我们提出了一个量化器优化算法,适用于NOMA和ANOMA。仿真结果表明,与传统的均匀量化器相比,优化后的量化器显著提高了平均最大最小速率,尤其是在低反馈速率的情况下。
In this letter, we study a two-user downlink asynchronous non-orthogonal multiple access (ANOMA) with limited feedback. We employ the max-min criterion for the power allocation and derive the closed-form expressions for the upper and lower bounds of the max-min rate. It is demonstrated that ANOMA can achieve the same or even higher average max-min rate with a lower feedback rate compared with non-orthogonal multiple access (NOMA). Moreover, we propose a quantizer optimization algorithm which applies to both NOMA and ANOMA. Simulation results show that the optimized quantizer significantly improves the average max-min rate compared with the conventional uniform quantizer, especially in the scenario with a low feedback rate.