Non-orthogonal Multiple Access: An Enabler for Massive Connectivity

Bhatia, Vimal; Swami, Pragya; Sharma, Sanjeev; Mitra, Rangeet

doi:10.1007/s41745-020-00162-9

Cited by 15 publications

(10 citation statements)

References 59 publications

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“…Unlike OMA, NOMA is not limited to the orthogonal resources and this means that the number of active users is theoretically unlimited. Sharing the same resource by multiple users in NOMA leads to lower access time and higher data rate also [29], [44]. In PD-NOMA, different NOMA users can share the same spectral band at the same time but with different power allocated to them [29], [44].…”

Section: Second Proposed Research Method: Pd-nomamentioning

confidence: 99%

“…Sharing the same resource by multiple users in NOMA leads to lower access time and higher data rate also [29], [44]. In PD-NOMA, different NOMA users can share the same spectral band at the same time but with different power allocated to them [29], [44]. Figure 10 the difference between OMA and PD-NOMA systems and both spectral and power allocations [29].…”

Section: Second Proposed Research Method: Pd-nomamentioning

confidence: 99%

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Medium access control protocol design for wireless communications and networks review

Jaber

Kadhim

Al-Araji

2022

IJECE

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<p><span>Medium access control (MAC) protocol design plays a crucial role to increase the performance of wireless communications and networks. The channel access mechanism is provided by MAC layer to share the medium by multiple stations. Different types of wireless networks have different design requirements such as throughput, delay, power consumption, fairness, reliability, and network density, therefore, MAC protocol for these networks must satisfy their requirements. In this work, we proposed two multiplexing methods for modern wireless networks: Massive multiple-input-multiple-output (MIMO) and power domain non-orthogonal multiple access (PD-NOMA). The first research method namely Massive MIMO uses a massive number of antenna elements to improve both spectral efficiency and energy efficiency. On the other hand, the second research method (PD-NOMA) allows multiple non-orthogonal signals to share the same orthogonal resources by allocating different power level for each station. PD-NOMA has a better spectral efficiency over the orthogonal multiple access methods. A review of previous works regarding the MAC design for different wireless networks is classified based on different categories. The main contribution of this research work is to show the importance of the MAC design with added optimal functionalities to improve the spectral and energy efficiencies of the wireless networks.</span></p>

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Section: Second Proposed Research Method: Pd-nomamentioning

confidence: 99%

Section: Second Proposed Research Method: Pd-nomamentioning

confidence: 99%

Medium access control protocol design for wireless communications and networks review

Jaber

Kadhim

Al-Araji

2022

IJECE

View full text Add to dashboard Cite

show abstract

“…PD-NOMA uses superposition coding to overlap multiple users and detects corresponding user symbols on the receiver side by successive interference cancellation (SIC) or message passing algorithms (MPAs). However, PD-NOMA is known to support a limited number of users due to inter-layer error propagation, and its reliance on power diversity [3][4][5]. Apart from PD-NOMA, specific code-domain NOMA-based approaches, like sparse code multiple access (SCMA) have recently been found to be particularly promising [6][7][8][9], as they not only allow for potential coding/shaping gains through codebook design, but also enable near-optimal detection using MPAs.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analytical Study of SCMA Detection Methods for PA Nonlinearity Mitigation

Sfeir

Mitra

Kaddoum

et al. 2021

Sensors

Self Cite

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Non-orthogonal multiple access (NOMA) has emerged as a promising technology that allows for multiplexing several users over limited time-frequency resources. Among existing NOMA methods, sparse code multiple access (SCMA) is especially attractive; not only for its coding gain using suitable codebook design methodologies, but also for the guarantee of optimal detection using message passing algorithm (MPA). Despite SCMA’s benefits, the bit error rate (BER) performance of SCMA systems is known to degrade due to nonlinear power amplifiers at the transmitter. To mitigate this degradation, two types of detectors have recently emerged, namely, the Bussgang-based approaches and the reproducing kernel Hilbert space (RKHS)-based approaches. This paper presents analytical results on the error-floor of the Bussgang-based MPA, and compares it with a universally optimal RKHS-based MPA using random Fourier features (RFF). Although the Bussgang-based MPA is computationally simpler, it attains a higher BER floor compared to its RKHS-based counterpart. This error floor and the BER’s performance gap are quantified analytically and validated via computer simulations.

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“…In this way, the world’s biggest wireless networking networks, such as fifth generation (5G) or even beyond 5G (B5G), rely on cellular IoT as the primary technique for enabling huge connectivity. 3–6…”

Section: Introductionmentioning

confidence: 99%

“…1,2 The rate of development of IoT devices is incredible, with at least 200 billion devices expected to connect to various wireless networks in the next decade. 3 As seen in Figure 1, 2 the IoT network is evolving into the Internet of All. In this way, the world's biggest wireless networking networks, such as fifth generation (5G) or even beyond 5G (B5G), rely on cellular IoT as the primary technique for enabling huge connectivity.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Bi-Directional LSTM deep learning-based ubiquitous MIMO uplink NOMA detection for military application considering Robust channel conditions

Alanya-Beltrán

Shankar²,

Krishna

et al. 2021

Journal of Defense Modeling & Simulation

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Ubiquitous multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) networks (UMNs) have emerged as an important technology for enabling security and other applications that need continuous monitoring. Their implementation, however, could be obstructed by the limited bandwidth available due to many wireless users. In this paper, bidirectional long short-term memory (LSTM)-based MIMO-NOMA detector is analyzed considering imperfect successive interference cancelation (SIC). Simulation results demonstrate that the traditional SIC MIMO-NOMA scheme achieves 15 dB, and the deep learning (DL) MIMO-NOMA scheme achieves 11 dB for [Formula: see text] number of iterations. There is a gap of 4 dB which means that the DL-based MIMO-NOMA performs better than the traditional SIC MIMO-NOMA techniques. It has been observed that when the channel error factor increases from 0 to 1, the performance of DL decreases significantly. For the channel error factor value less than 0.07, the DL detector performance much better than the SIC detector even though the perfect channel state information (CSI) is considered. The DL detector’s performance decreases significantly where variations between the actual and expected channel states occurred, although the DL-based detectors’ performance was able to sustain its predominance within a specified tolerance range.

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Non-orthogonal Multiple Access: An Enabler for Massive Connectivity

Cited by 15 publications

References 59 publications

Medium access control protocol design for wireless communications and networks review

Medium access control protocol design for wireless communications and networks review

Comparative Analytical Study of SCMA Detection Methods for PA Nonlinearity Mitigation

Investigation of Bi-Directional LSTM deep learning-based ubiquitous MIMO uplink NOMA detection for military application considering Robust channel conditions

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