Performance analysis of NOMA in pedestrian and vehicular environments

Hasan, Ahmad; Ali, Darmawaty Mohd; Muhamad, Wan Norsyafizan W.; Idris, Mohd Syarhan

doi:10.1088/1742-6596/1502/1/012003

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…Also, the performance of users is evaluated. NOMA performed 50% better for CC users than OMA, while OMA outperformed NOMA 56% for CE users [16].…”

Section: Related Workmentioning

confidence: 92%

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Doppler Shift Effect with Non-Orthogonal Multiple Access Technology for 5G System

Hussein¹,

Ayoob²

2022

Proceedings of 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies, IMDC-IST 2021, 7-9

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Non-orthogonal Multiple access (NOMA) is a 5G wireless connectivity technology. It aims to improve user (UE) service at cell edge (CE) by pairing with the UE at cell center (CC). User velocity is an important component of 5G communication systems. This paper investigates the presence of a Doppler shift effect (DSE) for the movement of a user in NOMA cell. Also, the emphasis in this search is on DSE for users (UEs) at the CC and on the user's velocity at 180km/h. The method used for the simulation, Link (LL) Level emulator for Vienna 5G. Through the NOMA principle, the results demonstrate that DSE was evident on the UE in center of the cellular network. When changing user's speed from 0 to 180 km/h, the user's efficiency changed from 4.937 Mbit/s to 0.6418 Mbit/s at transmitted Power of eNB equal 25dBm. In other expression, due to an increase in the UE's speed and DSE, the user's throughput decreases by nine times his efficiency at speed = 0 km / h. By increasing number of eNB antennas, MIMO (8X2) has achieved 4 times better user efficiency improvement than MIMO (2X2). The number of UE antennas is increased antennas to four and changing number of eNB antennas, MIMO (2X4) enables to maintain user's throughput at high speed and DSE. In this type of MIMO, the user's efficiency has reached a result close to that of UE when his motion is stationary.

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“…Also, the performance of users is evaluated. NOMA performed 50% better for CC users than OMA, while OMA outperformed NOMA 56% for CE users [16].…”

Section: Related Workmentioning

confidence: 92%

“…At txPowereNB = 25dBm, MIMO (8X2) is more user-efficient (2.0756 Mbps) than MIMO (4x4). Figure(16) compares the DE for the first user between MIMO (2x4) and MIMO (4x2). MIMO (2X4) achieved a UE transfer efficiency (2.644 Mbps) more than MIMO (4X2) at txPowereNB = 25dBm.…”

mentioning

confidence: 99%

Doppler Shift Effect with Non-Orthogonal Multiple Access Technology for 5G System

Hussein¹,

Ayoob²

2022

Proceedings of 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies, IMDC-IST 2021, 7-9

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“…Secure communication in V2V and V2I NOMA networks demands minimal latency, excellent end-to-end reliability, and massive connectivity. Intelligent transportation systems (ITS) will be applied in entertainment applications, such as connected driving and smart transportation, thus increasing the requirement for spectral efficiency (SE) [8]- [11]. By enabling multiplexing in the code and the power domain, NOMA -which significantly improves energy and SE over orthogonal multiple access (OMA) -serves many users concurrently or simultaneously accessing frequency resources [12].…”

Section: /2022mentioning

confidence: 99%

Investigation of Vehicular S-LSTM NOMA Over Time Selective Nakagami-m Fading with Imperfect CSI

Shankar¹,

Chaudhar²,

Mishra³

2022

JTIT

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In this paper, the performance of a deep learning based multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) system is investigated for 5G radio communication networks. We consider independent and identically distributed (i.i.d.) Nakagami-m fading links to prove that when using MIMO with the NOMA system, the outage probability (OP) and end-to-end symbol error rate (SER) improve, even in the presence of imperfect channel state information (CSI) and successive interference cancellation (SIC) errors. Further more, the stacked long short-term memory (S-LSTM) algorithm is employed to improve the system’s performance, even under time-selective channel conditions and in the presence of terminal’s mobility. For vehicular NOMA networks, OP, SER, and ergodic sum rate have been formulated. Simulations show that an S-LSTM-based DL-NOMA receiver outperforms least square (LS) and minimum mean square error (MMSE) receivers. Furthermore, it has been discovered that the performance of the end-to-end system degrades with the growing amount of node mobility, or if CSI knowledge remains poor. Simulated curves are in close agreement with the analytical results.

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Performance of Throughput based on Subcarrier Allocation in Non-Orthogonal Multiple Access

Hasan

Ali

Muhamad

et al. 2020

2020 IEEE 10th International Conference on System Engineering and Technology (ICSET)

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Performance analysis of NOMA in pedestrian and vehicular environments

Cited by 4 publications

References 12 publications

Doppler Shift Effect with Non-Orthogonal Multiple Access Technology for 5G System

Doppler Shift Effect with Non-Orthogonal Multiple Access Technology for 5G System

Investigation of Vehicular S-LSTM NOMA Over Time Selective Nakagami-m Fading with Imperfect CSI

Performance of Throughput based on Subcarrier Allocation in Non-Orthogonal Multiple Access

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