Multiple-antenna techniques in nonorthogonal multiple access: a review

Tian, Feiyan; Chen, Xiaoming

doi:10.1631/fitee.1900405

“…where  is the minimum Kullback-Leibler distance (see also (10)) between "closest" Gaussian distributions of the multiusers, n is the number of samples and m is the number of multiusers. For complete OMA-multiusers classification the total number of "users" is m'= m+1.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…(see details at [1], [3], etc.). A brief overview of the works considered as most important [1][2][3][4][5][6][7][8][9][10][11][12] is presented in the following. As it can be inferred from [4]- [5], the SIC decoding order based on the CSI turns critical and can have important influence on the system's performance.…”

Section: Introductionmentioning

confidence: 99%

Comments on SIC design for SISO NOMA Systems over Doubly Selective Channels.

Kontorovich¹

2022

Preprint

0

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Non-orthogonal multiple access principle applied in power domain (power-domain NOMA) enhances spectrum efficiency and connectivity of mobile communication systems through sharing between Orthogonal Multiple Access (OMA) and other multiple users. It is the almost main current trend for research and standards for 5G and beyond. Spectrum sharing generates multi-users interference (Multiple Access Interference, MAI) which destroys orthogonality in OMA systems. Meanwhile the so-called Successive Interference Cancellation (SIC) techniques are used to suppress MAI and the Cognitive Radio (CR) principle (CR-NOMA) for decoding order for multiple users inspired effective SIC algorithms. The CR-NOMA principle is applied in the present material as well, but with significant changes for SIC design as for Doubly Selective channels. Due to the above reasons, two original SIC design methods are proposed hereafter following the CR-NOMA principle. Regarding to it the OMA signal (primary user) is decoded first using a Chaos-based quasi-optimum Extended Kalman Filter (EKF). The set of “secondary users” (multiusers) are proposed to be decoded secondly by the following two different methods: - Chaos-based EKF filters or , - Sequential m hypothesis testing. The proposed approach for SIC design is rather simple, fast and accurate for practical implementation.

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“…Nevertheless, in 5G and beyond networks MIMO techniques have been also proposed to increase capacity. Furthermore, with the employment of Massive MIMO techniques, as was mentioned before, the usage of CSI becomes challenging since the number of users goes large [17,18]. At [17] a blind belief propagation (BP) detection for non-coherent NOMA with massive MIMO was proposed, where the transmitter of each user first performs differential modulation on PSK symbols, and then spreads its symbols using low-density spreading (LDS); the receiver of the base station (BS) employs differential demodulation and then detects all users' symbols using a blind BP detection without knowledge of CSI.…”

Section: A Brief Overview About Sic Algorithms In Noma Systemsmentioning

confidence: 99%

“…Furthermore, with the employment of Massive MIMO techniques, as was mentioned before, the usage of CSI becomes challenging since the number of users goes large [17,18]. At [17] a blind belief propagation (BP) detection for non-coherent NOMA with massive MIMO was proposed, where the transmitter of each user first performs differential modulation on PSK symbols, and then spreads its symbols using low-density spreading (LDS); the receiver of the base station (BS) employs differential demodulation and then detects all users' symbols using a blind BP detection without knowledge of CSI. Strictly speaking, this approach is not related to power domain NOMA, it rather belongs to CDMA-NOMA, but it was included here because of the idea of Incoherent transmission applications rarely considered in the NOMA design.…”

Section: A Brief Overview About Sic Algorithms In Noma Systemsmentioning

confidence: 99%

NOMA Transmission Systems: Overview of SIC Design and New Findings

Estrello¹,

Ramos-Alarcon²,

Kontorovich³

2022

Multiplexing - Recent Advances and Novel Applications

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Non-Orthogonal Multiple Access (NOMA) has been recently proposed as a good alternative to meet 5G and beyond requirements in terms of high spectral efficiency, massive connectivity, and low latency. It has been demonstrated that the use of NOMA in downlink has superior performance in terms of throughput, whereas the use in uplink outperforms OMA techniques in terms of fairness. A distinctive feature of NOMA is the presence of excessive multiple-access interference due to the case of usage of power domain to multiplex signals, thus the functional implementation of NOMA implies Successive Interference Cancelation (SIC) to combat this interference. Therefore, SIC design becomes the main point in the effectiveness of NOMA systems. On the other hand, hybrid schemes, NOMA/OMA, have been recently proposed to reduce the drawbacks of pure NOMA systems. However, in these schemes, it becomes necessary to distinguish NOMA and OMA users. Cognitive Radio techniques turn to be a good option to effectively separate NOMA/OMA users as well as to distinguish NOMA users. In this chapter, a brief overview of NOMA techniques related to Cognitive Radio technology (CR-NOMA) and SIC design reported in the literature is presented. Also, new findings about NOMA/OMA users’ recognition are described.

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“…Notice, that almost every proposed SIC technique in the literature strongly depends on the CSI [12]. However, the usage of the Channel State Information (CSI) or its modifications [1], [2], [6], [10] is hardly possible, due to the Doubly Selective Channels. Contrary to the previous published papers, new findings reported in this work consider the SIC impairments mitigation related to double selectivity troubles.…”

Section: Introductionmentioning

confidence: 99%

Comments on SIC design for SISO NOMA Systems over Doubly Selective Channels.

Kontorovich¹

2022

Preprint

1

0

View full text Add to dashboard Cite

Non-orthogonal multiple access principle applied in power domain (power-domain NOMA) enhances spectrum efficiency and connectivity of mobile communication systems through sharing between Orthogonal Multiple Access (OMA) and other multiple users. It is the almost main current trend for research and standards for 5G and beyond. Spectrum sharing generates multi-users interference (Multiple Access Interference, MAI) which destroys orthogonality in OMA systems. Meanwhile the so-called Successive Interference Cancellation (SIC) techniques are used to suppress MAI and the Cognitive Radio (CR) principle (CR-NOMA) for decoding order for multiple users inspired effective SIC algorithms. The CR-NOMA principle is applied in the present material as well, but with significant changes for SIC design as for Doubly Selective channels. Due to the above reasons, two original SIC design methods are proposed hereafter following the CR-NOMA principle. Regarding to it the OMA signal (primary user) is decoded first using a Chaos-based quasi-optimum Extended Kalman Filter (EKF). The set of “secondary users” (multiusers) are proposed to be decoded secondly by the following two different methods: - Chaos-based EKF filters or , - Sequential m hypothesis testing. The proposed approach for SIC design is rather simple, fast and accurate for practical implementation.

show abstract

Multiple-antenna techniques in nonorthogonal multiple access: a review

Cited by 18 publications

References 201 publications

Comments on SIC design for SISO NOMA Systems over Doubly Selective Channels.

Comments on SIC design for SISO NOMA Systems over Doubly Selective Channels.

NOMA Transmission Systems: Overview of SIC Design and New Findings

Comments on SIC design for SISO NOMA Systems over Doubly Selective Channels.

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