Time-Frequency Domain Non-Orthogonal Multiple Access for Power Efficient Communications

Time-Frequency Domain Non-Orthogonal Multiple Access for Power Efficient Communications
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DOI:
10.1109/twc.2023.3235910
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发表时间:
2023-09
影响因子:
10.4
通讯作者:
Yuto Hama;H. Ochiai
Yuto Hama;H. Ochiai
中科院分区:
计算机科学1区
文献类型:
--
作者:
Yuto Hama;H. Ochiai

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我们建议使用适用于物联网(IoT)和设备对设备(D2D)通信的功率有效的非正交多访问(NOMA)方案。基于OFDM的功率域NOMA(PD-NOMA)是实现大型设备连接的有前途的方法之一。然而,高峰值功率比(PAPR)的问题是一个主要挑战,因为功率放大器(PA)效率是由低成本硬件组件组成的IoT和D2D设备的关键因素。本文通过引入时频域Noma(TF-NOMA)来克服这个问题,其中OFDM和DFT-SprecepeRDM(DFT-S-OFDM)在时间频域中被超级置于超级序列。通过利用DFT-trecoding实现的低PAPR属性,TF-Noma可以有效地减少基站(BS)传输的下行链路信号的PAPR以及远离BS的设备的上行链路信号。结果,所提出的TF-NOMA的PA效率比常规的OFDM基于PD-Noma的PA效率更高。此外,以PAPR还原的目的插入DFT-tecoding还增强了由于所得高斯混合物信号特性而引起的误差传播电阻。在整个数学分析和计算机模拟的过程中,我们证明TF-NOMA比常规PD-NOMA实现更好的错误率性能,而PA效率显着提高。
We propose a power efficient non-orthogonal multiple access (NOMA) scheme suitable for Internet of Things (IoT) and device-to-device (D2D) communications. OFDM-based power-domain NOMA (PD-NOMA) is one of the promising approaches to achieve simultaneous connections of massive devices. Nevertheless, the problem of high peak-to-average power ratio (PAPR) is a major challenge, since power amplifier (PA) efficiency is a critical factor for IoT and D2D devices consisting of low-cost hardware components. This paper overcomes this problem by introducing time-frequency domain NOMA (TF-NOMA), where OFDM and DFT-spread OFDM (DFT-s-OFDM) are superposed over the time-frequency domain. By utilizing the low PAPR property achieved by DFT-precoding, TF-NOMA can efficiently reduce the PAPR of the downlink signal transmitted by the base station (BS) as well as the uplink signals of the devices located far from BS. As a result, the proposed TF-NOMA can operate with higher PA efficiency than the conventional OFDM-based PD-NOMA. Furthermore, the insertion of DFT-precoding with the aim of PAPR reduction also enhances the error propagation resistance due to the resulting Gaussian mixture signal property. Throughout the mathematical analysis and computer simulations, we demonstrate that TF-NOMA achieves better error rate performance than the conventional PD-NOMA with significant improvement of PA efficiency.