Design of novel approach for emerging power-domain superposition coding (SC)-using hybrid NOMA-OFDM for 5G communications

Y. Shobha, H. Rangaraju
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引用次数: 1

Abstract

PurposeThe suggested work examines the latest developments such as the techniques employed for allocation of power, browser techniques, modern analysis and bandwidth efficiency of nonorthogonal multiple accesses (NOMA) in the network of 5G. Furthermore, the proposed work also illustrates the performance of NOMA when it is combined with various techniques of wireless communication namely network coding, multiple-input multiple-output (MIMO), space-time coding, collective communications, as well as many more. In the case of the MIMO system, the proposed research work specifically deals with a less complex recursive linear minimum mean square error (LMMSE) multiuser detector along with NOMA (MIMO-NOMA); here the multiple-antenna base station (BS) and multiple single-antenna users interact with each other instantaneously. Although LMMSE is a linear detector with a low intricacy, it performs poorly in multiuser identification because of the incompatibility between LMMSE identification and multiuser decoding. Thus, to obtain a desirable iterative identification rate, the proposed research work presents matching constraints among the decoders and identifiers of MIMO-NOMA.Design/methodology/approachTo improve the performance in 5G technologies as well as in cellular communication, the NOMA technique is employed and contemplated as one of the best methodologies for accessing radio. The above-stated technique offers several advantages such as enhanced spectrum performance in contrast to the high-capacity orthogonal multiple access (OMA) approach that is also known as orthogonal frequency division multiple access (OFDMA). Code and power domain are some of the categories of the NOMA technique. The suggested research work mainly concentrates on the technique of NOMA, which is based on the power domain. This approach correspondingly makes use of superposition coding (SC) as well as successive interference cancellation (SIC) at source and recipient. For the fifth-generation applications, the network-level, as well as user-experienced data rate prerequisites, are successfully illustrated by various researchers.FindingsThe suggested combined methodology such as MIMO-NOMA demonstrates a synchronized iterative LMMSE system that can accomplish the optimized efficiency of symmetric MIMO NOMA with several users. To transmit the information from sender to the receiver, hybrid methodologies are confined to 2 × 2 as well as 4 × 4 antenna arrays, and thereby parameters such as PAPR, BER, SNR are analyzed and efficiency for various modulation strategies such as BPSK and QAMj (j should vary from 8,16,32,64) are computed.Originality/valueThe proposed hybrid MIMO-NOMA methodologies are synchronized in terms of iterative process for optimization of LMMSE that can accomplish the optimized efficiency of symmetric for several users under different noisy conditions. From the obtained simulated results, it is found, there are 18%, 23% 16%, and 8% improvement in terms of Bit Error Rate (BER), Least Minimum Mean Squared Error (LMMSE), Peak to Average Power Ratio (PAPR), and capacity of channel respectively for Binary Phase Shift Key (BPSK) and Quadrature Amplitude Modulation (QAM) modulation techniques.
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一种新的功率域叠加编码(SC)方法的设计——用于5G通信的混合NOMA-OFDM
建议的工作考察了5G网络中用于分配功率的技术、浏览器技术、现代分析和非正交多址(NOMA)带宽效率等最新发展。此外,所提出的工作还说明了NOMA在与各种无线通信技术(即网络编码、多输入多输出(MIMO)、时空编码、集体通信等)相结合时的性能。在MIMO系统的情况下,提出的研究工作专门处理一个不太复杂的递归线性最小均方误差(LMMSE)多用户检测器以及NOMA (MIMO-NOMA);在这里,多天线基站(BS)和多个单天线用户可以即时交互。虽然LMMSE是一种复杂度较低的线性检测器,但由于LMMSE识别与多用户解码不兼容,其在多用户识别中的性能较差。因此,为了获得理想的迭代识别率,本研究提出了MIMO-NOMA解码器和标识符之间的匹配约束。设计/方法/方法为了提高5G技术和蜂窝通信的性能,NOMA技术被采用并被认为是访问无线电的最佳方法之一。与高容量正交多址(OMA)方法(也称为正交频分多址(OFDMA))相比,上述技术提供了一些优点,例如增强的频谱性能。代码和功率域是NOMA技术的两个范畴。建议的研究工作主要集中在基于功率域的NOMA技术。这种方法相应地利用了源端和接收端的叠加编码(SC)和连续干扰抵消(SIC)。对于第五代应用,各种研究人员成功地说明了网络级以及用户体验数据速率的先决条件。结果提出的MIMO-NOMA组合方法证明了一种同步迭代LMMSE系统,可以实现多用户对称MIMO NOMA的优化效率。为了将信息从发送方传输到接收方,混合方法被限制在2 × 2和4 × 4天线阵列中,因此分析了PAPR、BER和SNR等参数,并计算了各种调制策略(如BPSK和QAMj)的效率(j应从8、16、32、64变化)。提出的混合MIMO-NOMA方法在迭代过程上同步优化LMMSE,可以在不同噪声条件下实现多个用户的对称优化效率。从仿真结果来看,二相移键(BPSK)和正交调幅(QAM)调制技术在误码率(BER)、最小均方误差(LMMSE)、峰值平均功率比(PAPR)和信道容量方面分别提高了18%、23%、16%和8%。
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CiteScore
3.50
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0.00%
发文量
21
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