Exact BER Analysis of NOMA With Arbitrary Number of Users and Modulation Orders

Yahya, Hamad; Alsusa, Emad; Al-Dweik, Arafat

doi:10.1109/tcomm.2021.3088526

Cited by 52 publications

(19 citation statements)

References 45 publications

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“…This is because the BER performance of users degrades (e.g., some users may have BER value of 1) as the number of users increases due to SIC operations, although NOMA can serve more users theoretically. Moreover, in most studies [27], [29]- [35], the modulation orders in the transceiver have been selected as binary phase-shift keying (BPSK) and/or quadrature phase-shift keying (QPSK). If the modulation orders increase in the NOMA schemes, the BER performance of the devices become worse.…”

Section: A Related Work and Motivationmentioning

confidence: 99%

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Bit-Interleaved Multiple Access: Improved Fairness, Reliability, and Latency for Massive IoT Networks

Kara

Kaya

Yanıkömeroğlu

et al. 2023

IEEE Internet Things J.

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Internet-of-Things (IoT) networks require massive connections in dense areas. Therefore, a resource efficient multiple access scheme seems inevitable to enable immense connectivity where multiple devices have to share the same resource block. Non-orthogonal multiple access (NOMA) has been considered as the strongest candidate in recent years. However, in this paper, by considering the practical implementation, we first provide a true power allocation (PA) constraint with finite alphabet inputs for conventional downlink NOMA and demonstrate that it cannot support massive connections in practical systems. To this end, we propose bit-interleaved multiple access (BIMA) scheme in downlink IoT networks. The proposed BIMA scheme implements bitwise multiaccess interleaving and deinterleaving at the transceiver ends and there are no strict PA constraints, unlike conventional NOMA, thus allowing a high number of devices in the same resource block. We provide a comprehensive analytical framework for BIMA by investigating all key performance indicators (KPIs) to present both information-theoretic (i.e., ergodic capacity [EC] and outage probability [OP]) and finite alphabet inputs (i.e., bit error rate [BER]) performance metrics with both instantaneous and statistical channel ordering. In addition, we define Jain's fairness index and proportional fairness index in terms of all KPIs. Based on the extensive computer simulations, we reveal that BIMA outperforms conventional NOMA significantly, with a performance gain of up to 20-30 dB in terms of KPIs in some scenarios. In other words, compared to conventional NOMA schemes, the same KPIs are met in BIMA with 20-30 dB less transmit power, which is quite promising for energy-limited use cases. Moreover, this performance gain becomes greater when more IoT devices are supported. BIMA provides a full diversity order for all IoT devices and enables the implementation of an arbitrary number of devices and modulation orders, which is crucial for IoT networks where a huge number of devices should be supported in a single resource block in dense areas. In addition to the overall performance gain, BIMA guarantees a fairness system where none of the devices gets a severely degraded performance and the sum-rate is shared in a fair manner among devices. It guarantees QoS satisfaction for all devices. Finally, we provide an intense complexity and latency analysis for BIMA and demonstrate that it provides lower latency compared to conventional NOMA receivers, since it allows parallel computation at the receivers and no iterative operations are required. We show that compared to conventional NOMA receivers, BIMA reduces latency by up to 350% for specific IoT devices and 170% on average.

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Section: A Related Work and Motivationmentioning

confidence: 99%

“…Although the bit error probability has not been derived for arbitrary modulation orders and numbers of IoT devices in the literature, existing studies [27], [29]- [35] stipulate that the bit error probability of conventional NOMA is given in the form of…”

Section: Benchmark (Conventional Noma) Performancementioning

confidence: 99%

Bit-Interleaved Multiple Access: Improved Fairness, Reliability, and Latency for Massive IoT Networks

Kara

Kaya

Yanıkömeroğlu

et al. 2023

IEEE Internet Things J.

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“…To find out the overall system performance, it can be done by searching for the bit error rate value in the indoor NOMA VLC system. The obtained value is obtained by (11).…”

Section: Bit Error Rate Calculationmentioning

confidence: 99%

“…Based on Figure 6 above, it describes the results of the BER value of the system. It can be seen that the resulting value is not optimal and is not close to 10 −6 up to 10 −3 [9], therefore system optimization will be carried out by replacing and matching the SPA power allocation value, this is done based on the image projection according to the reference [11].…”

Section: Curve Projection Analysis Of Bit Error Rate and Spa Power Al...mentioning

confidence: 99%

The Performance of Visible Light Communication Bit Error Rate with Power Allocation Strategy

MARSUKI

2022

CEPAT

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Visible Light Communication (VLC) is a communication system that uses visible light as its transmission medium to transmit information signals with Light Emitting Diode (LED) and LASER light sources using visible light between 400 THz (375 nm) to 800 THz (780 nm). VLC has several advantages over the use of radio frequencies in a system. Performance analysis is needed to prove these advantages. Performance analysis was carried out using a mathematical computational simulation using google colab with the python programming language. By taking into account the power allocation (?) strategy in the form of gain ratio power allocation (GRPA) and static power allocation (SPA). The interesting thing from this research is that the power allocation in the VLC system greatly influences the resulting performance. So, it can be locked that the SPA power allocation strategy can be adjusted by producing ?? = 1 and finding the optimal BER value in the range of 10-6 to 10^-3.

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“…According to the power-domain NOMA protocol, channels in the NOMA wireless network are sorted by the channel gain [19]. For modulation and encoding/ decoding in NOMA wireless networks, users should depend on each other [21][22][23] by the order of channel gains. Considering that a first-order FSMC characterises an individual unordered Rayleigh fading channel, a new challenging problem arises, namely further forming a suitable model for multiple ordered Rayleigh fading channels based on the first-order FSMC.…”

Section: Introductionmentioning

confidence: 99%

Markov chain modelling of ordered Rayleigh fading channels in non‐orthogonal multiple access wireless networks

Chen

Zhang

Zhu

2023

IET Signal Processing

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A first‐order finite‐state Markov chain (FSMC) typically models the Rayleigh fading channel in the open literature because the first‐order FSMC is analytically tractable and can derive closed‐form results. Non‐orthogonal multiple access (NOMA) has been recognised as a novel wireless technology that addresses challenges in the next generation of mobile communications. According to the power‐domain NOMA protocol, channels in the NOMA wireless network are sorted by the channel gain. Then considering NOMA, there is insufficient information on how to further form a suitable model for ordered Rayleigh fading channels based on the first‐order FSMC. Given the mathematical statement on how to model the order statistics of multidimensional Markov chains for ordered Rayleigh fading channels, the authors consider these order statistics as a Markov chain, and propose specific processes of representing the state space and constructing the transition probability matrix accordingly. Numerical and simulation results validate the mathematical correctness and accuracy of these novel processes. In addition, for ordered Rayleigh fading channels, the performances of various methods of partitioning the entire signal‐to‐noise ratio range are compared. The performance comparison results are the same as those obtained for the individual unordered Rayleigh fading channel.

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Exact BER Analysis of NOMA With Arbitrary Number of Users and Modulation Orders

Cited by 52 publications

References 45 publications

Bit-Interleaved Multiple Access: Improved Fairness, Reliability, and Latency for Massive IoT Networks

Bit-Interleaved Multiple Access: Improved Fairness, Reliability, and Latency for Massive IoT Networks

The Performance of Visible Light Communication Bit Error Rate with Power Allocation Strategy

Markov chain modelling of ordered Rayleigh fading channels in non‐orthogonal multiple access wireless networks

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