Performance analysis of NOMA systems over Rayleigh fading channels with successive‐interference cancellation

Ahmed, Mohamad A.; Baz, Abdullah; Tsimenidis, Charalampos C.

doi:10.1049/iet-com.2019.0504

Cited by 19 publications

(3 citation statements)

References 25 publications

(24 reference statements)

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“…In paper [20], the authors investigated a multiple user NOMA system under frequency flat Rayleigh fading channel conditions. The NOMA approach was used by the BS to provide connectivity, user fairness, and a high SE for multiusers under time-selective fading channel conditions.…”

Section: Related Workmentioning

confidence: 99%

Analysis of an LSTM-based NOMA Detector Over Time Selective Nakagami-m Fading Channel Conditions

Shankar¹,

Bangare²,

Kumar³

et al. 2022

JTIT

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This work examines the efficacy of deep learning (DL) based non-orthogonal multiple access (NOMA) receivers in vehicular communications (VC). Analytical formulations for the outage probability (OP), symbol error rate (SER), and ergodic sum rate for the researched vehicle networks are established Rusing i.i.d. Nakagami-m fading links. Standard receivers, such as least square (LS) and minimum mean square error (MMSE), are outperformed by the stacked long-short term memory (S-LSTM) based DL-NOMA receiver. Under real time propagation circumstances, including the cyclic prefix (CP) and clipping distortion, the simulation curves compare the performance of MMSE and LS receivers with that of the DL-NOMA receiver. According to numerical statistics, NOMA outperforms conventional orthogonal multiple access (OMA) by roughly 20% and has a high sum rate when considering i.i.d. fading links.

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Section: Related Workmentioning

confidence: 99%

Analysis of an LSTM-based NOMA Detector Over Time Selective Nakagami-m Fading Channel Conditions

Shankar¹,

Bangare²,

Kumar³

et al. 2022

JTIT

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“…K relays are uniformly distributed in that disc. Wireless links are assumed to follow independent non‐selective block Rayleigh fading [22–27] and are corrupted by additive white Gaussian noise with a power value of N 0 .

h_{1, k} = \frac{h}{\sqrt{1 + d_{1, k}^{α}}}

and

h_{2, k} = \frac{h^{'}}{\sqrt{1 + r_{2, k}^{α}}}

[4], respectively, represent the channel coefficients of

D_{1, k} \to BS

and

D_{2} \to D_{1, k}

links, where

d_{1, k}

is the distance between

D_{1, k}

and the BS, and

r_{2, k}

is the distance between D 2 and

D_{1, k}

.…”

Section: Network Modelmentioning

confidence: 99%

“…K relays are uniformly distributed in that disc. Wireless links are assumed to follow independent non-selective block Rayleigh fading [22][23][24][25][26][27] and are corrupted by additive white Gaussian noise with a power value [4]. Moreover,…”

Section: Network Descriptionmentioning

confidence: 99%

Relay selection for spatially random full‐duplex cooperative non‐orthogonal multiple access networks

Wang

Jia

et al. 2021

IET Communications

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This paper investigates the relay selection problem and proposes a three-stage relay selection strategy with power allocation (TRSPA) for a spectrum-sensing-based fullduplex (FD) user relaying cooperative non-orthogonal multiple access (CNOMA) scheme. Uniformly-distributed strong user relays in the investigated scheme help a weak user communicates with the base station in an efficient and reliable way. The proposed TRSPA strategy maximizes the transmission data rate of the selected relay while ensuring successful transmissions for the weak user by precisely narrowing down relay candidates step-by-step and dynamically allocating optimal power coefficients. Exact and asymptotic outage probabilities and ergodic rates are worked out. Accordingly, diversity orders and spatial multiplexing gains are derived. We further exploit the impact of self-interference (SI) on TRSPA for FD-CNOMA and then compare its performance with TRSPA applied in other relaying modes, that is half-duplex and orthogonal multiple access. Finally, simulation results reveal that: (i) theoretical derivation results are correct; (ii) TRSPA always outperforms other relay selection strategies in terms of outage probability and ergodic rate; and (iii) TRSPA for FD-CNOMA in a real-world scenario achieves better performance than other relaying modes in spite of the adverse effect of SI in FD mode. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Algorithms and throughput analysis of cognitive radio‐based MIMO‐NOMA for the next generation of wireless communications

Saeed,

Ahmed

2024

Trans Emerging Tel Tech

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In this paper, multi‐users (MU) communications are considered based on the cognitive ratio (CR) technique. Multiple‐input multiple‐output (MIMO) and non‐orthogonal multiple access (NOMA) are proposed to be merged with CR for the sake of improving the achievable throughput and satisfying user fairness. Moreover, utilizing MIMO‐NOMA enables the CR users to be served in the coverage network without the need for spectral sensing. Three scenarios are assumed in this paper to investigate the performance of each CR secondary user (SU) in the presence of single or multiple primary users (PUs). Pairing algorithms are proposed and applied to obtain optimum throughputs and outage probabilities, in which the algorithms are employed to select a PU with an SU to be coupled in a pair, depending on allocating the required power for each user, taking into account that any PU has the priority to reach its required throughput. Moreover, mathematical expressions have been derived for each case to evaluate the required power allocation factor and the achievable throughput for each user. Furthermore, the proposed algorithms show successful and satisfactory achievable rates and outage probabilities.

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Performance analysis of NOMA systems over Rayleigh fading channels with successive‐interference cancellation

Cited by 19 publications

References 25 publications

Analysis of an LSTM-based NOMA Detector Over Time Selective Nakagami-m Fading Channel Conditions

Analysis of an LSTM-based NOMA Detector Over Time Selective Nakagami-m Fading Channel Conditions

Relay selection for spatially random full‐duplex cooperative non‐orthogonal multiple access networks

Algorithms and throughput analysis of cognitive radio‐based MIMO‐NOMA for the next generation of wireless communications

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