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On the Design of Massive Non-Orthogonal Multiple Access With Imperfect Successive Interference Cancellation

机译:具有不完美连续干扰消除的大规模非正交多址接入设计

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摘要

In this paper, we address a practical but adverse problem that successive interference cancellation (SIC) is imperfect in a massive non-orthogonal multiple access (NOMA) system. The benefits of a multiple-antenna base station are exploited to support massive access through user clustering in the spatial domain and alleviate the impact of imperfect SIC. In particular, transmit beams and powers are jointly optimized to mitigate the intra-cluster and inter-cluster interference, so as to improve the overall performance in the presence of imperfect SIC. Specifically, we design the joint optimization algorithms from the perspectives of maximizing the weighted sum rate and minimizing the total power consumption, respectively. Moreover, in order to reduce the computational complexity, we design the massive NOMA algorithms with zero-forcing beamforming fixedly. The impacts of imperfect SIC on the design of massive NOMA algorithms are revealed, and it is found that the proposed algorithms are still applicable even if SIC is perfect. Finally, simulations results validate the theoretical claims and show that obvious performance gain can be obtained over the baseline algorithms.
机译:在本文中,我们解决了一个实际但不利的问题,即在大型非正交多路访问(NOMA)系统中,连续干扰消除(SIC)并不完善。利用多天线基站的好处来支持通过在空间域中的用户群集进行大规模访问,并减轻不完善的SIC的影响。尤其是,对发射波束和功率进行联合优化,以减轻集群内和集群间干扰,从而在存在不完善的SIC的情况下提高整体性能。具体来说,我们分别从最大化加权和速率和最小化总功耗的角度设计联合优化算法。此外,为了降低计算复杂度,我们设计了固定的零强迫波束形成的大型NOMA算法。揭示了不完善的SIC对大规模NOMA算法设计的影响,发现即使SIC完美,所提出的算法仍然适用。最后,仿真结果验证了理论上的正确性,并表明可以通过基线算法获得明显的性能提升。

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