Performance Analysis of Diversity-Controlled Multi-User Superposition Transmission for 5G Wireless Networks

Yeom, Jeong Seon; Chu, Eunmi; Jung, Bang Chul; Jin, Hu

doi:10.3390/s18020536

Cited by 10 publications

(4 citation statements)

References 10 publications

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“…The error rate performance of NOMA is highly impacted by the symbol-to-bit labeling strategy used [77]- [80]. There are three main labeling strategies which are: 1) NOMA non-Gray labeling, 2) Joint Gray labeling, 3) Natural labeling.…”

Section: A Labelingmentioning

confidence: 99%

“…It is observed from the results that compared to other labeling schemes, the joint Gray labeling improves the SER and BLER performance of the near user. Furthermore, the authors of [80] consider Gray-labeling for a DL SIMO system assuming only two users per subcarrier, where the far user is multiplexed with all near users' subcarriers. The BER expressions are derived over Rayleigh fading channels for QPSK and maximal ratio combining (MRC) SIC detector.…”

Section: A Labelingmentioning

confidence: 99%

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Error Rate Analysis of NOMA: Principles, Survey and Future Directions

Yahya¹,

Ahmed²,

Alsusa³

et al. 2023

Preprint

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<div>Non-orthogonal multiple access (NOMA) has received an enormous attention in the recent literature due to its potential to improve the spectral efficiency of wireless networks. For several years, most of the research efforts on the performance analysis of NOMA were steered towards the ergodic sum rate and outage probability. More recently, error rate analysis of NOMA has attracted massive attention and sparked massive number of researchers whose aim was to evaluate the error rate of the various NOMA configurations and designs. Therefore, the large number of publications that appeared in a short time duration made highly challenging for the research community to identify the contribution of the different research articles. Therefore, this work aims at surveying the research work that considers NOMA error rate analysis and classifying the contributions of each work. Therefore, work redundancy and overlap can be minimized, research gabs can be identified, and future research directions can be outlined. Moreover, this work presents the principles of NOMA error rate analysis.</div>

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Section: A Labelingmentioning

confidence: 99%

Section: A Labelingmentioning

confidence: 99%

Error Rate Analysis of NOMA: Principles, Survey and Future Directions

Yahya¹,

Ahmed²,

Alsusa³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Furthermore, multi user shared access (MUSA) is a code domain technique that can be used to optimize energy efficiency, throughput, simultaneous connections of a NOMA based wireless network. In [70,71], MUSA is used in an IoT scenario where the massive number of users are accommodated simultaneously using the same radio resource. A collection of short length code sequences are used since they enable simple and steady successive interference cancellation and manage high user loads.…”

Section: Multi User Shared Accessmentioning

confidence: 99%

A New Green Prospective of Non-orthogonal Multiple Access (NOMA) for 5G

et al. 2020

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Energy efficiency is a major concern in the emerging mobile cellular wireless networks since massive connectivity is to be expected with high energy requirements from the network operators. Non-orthogonal multiple access (NOMA) being the frontier multiple access scheme for 5G, there exists numerous research attempts on enhancing the energy efficiency of NOMA enabled wireless networks while maintaining its outstanding performance metrics such as high throughput, data rates and capacity maximized optimally.The concept of green NOMA is introduced in a generalized manner to identify the energy efficient NOMA schemes. These schemes will result in an optimal scenario in which the energy generated for communication is managed sustainably. Hence, the effect on the environment, economy, living beings, etc is minimized. The recent research developments are classified for a better understanding of areas which are lacking attention and needs further improvement. Also, the performance comparison of energy efficient, NOMA schemes against conventional NOMA is presented. Finally, challenges and emerging research trends, for energy efficient NOMA are discussed.

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“…Future IoT applications will consist of a massive number of wireless devices; hence the next-generation networks, especially 6G, require much higher spectral- and energy-efficiency, connection density, and lower latency performance than 5G networks [ 1 , 2 , 3 ]. During a decade, non-orthogonal multiple access (NOMA) technologies have been vigorously studied to fulfill the requirements above and overcome the spectrum scarcity problem [ 4 , 5 , 6 , 7 ]. The basic concept of NOMA is to allow multiple users to share the same radio resources through power- or code-domain multiplexing.…”

Section: Introductionmentioning

confidence: 99%

A Novel Expectation-Maximization-Based Blind Receiver for Low-Complexity Uplink STLC-NOMA Systems

Lee

Jung

2022

Sensors

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In this paper, we revisit a two-user space-time line coded uplink non-orthogonal multiple access (STLC-NOMA) system for Internet-of-things (IoT) networks and propose a novel low-complexity STLC-NOMA system. The basic idea is that both IoT devices (stations: STAs) employ amplitude-shift keying (ASK) modulators and align their modulated symbols to in-phase and quadrature axes, respectively, before the STLC encoding. The phase distortion caused by wireless channels becomes compensated at the receiver side with the STLC, and thus each STA’s signals are still aligned on their axes at the access point (AP) in the proposed uplink STLC-NOMA system. Then, the AP can decode the signals transmitted from STAs via a single-user maximum-likelihood (ML) detector with low-complexity, while the conventional uplink STLC-NOMA system exploits a multi-user joint ML detector with relatively high-complexity. We mathematically analyze the exact BER performance of the proposed uplink STLC-NOMA system. Furthermore, we propose a novel expectation-maximization (EM)-based blind energy estimation (BEE) algorithm to jointly estimate both transmit power and effective channel gain of each STA without the help of pilot signals at the AP. Somewhat interestingly, the proposed BEE algorithm works well even in short-packet transmission scenarios. It is worth noting that the proposed uplink STLC-NOMA architecture outperforms the conventional STLC-NOMA technique in terms of bit-error-rate (BER), especially with high-order modulation schemes, even though it requires lower computation complexity than the conventional technique at the receiver.

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Performance Analysis of Diversity-Controlled Multi-User Superposition Transmission for 5G Wireless Networks

Cited by 10 publications

References 10 publications

Error Rate Analysis of NOMA: Principles, Survey and Future Directions

Error Rate Analysis of NOMA: Principles, Survey and Future Directions

A New Green Prospective of Non-orthogonal Multiple Access (NOMA) for 5G

A Novel Expectation-Maximization-Based Blind Receiver for Low-Complexity Uplink STLC-NOMA Systems

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