Performance Analysis of Frequency Hopping Ad Hoc Communication System With Non-Orthogonal Multiple Access

Li, Shaosheng; Nie, Hongrui; Wu, Huici

doi:10.1109/access.2019.2935024

Cited by 5 publications

(3 citation statements)

References 33 publications

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“…Simulation results reveal that the performance of considered improves significantly under the two proposed algorithms. In [183], the authors considered NOMA-based frequency hopping ad hoc network, where different users are grouped together to form NOMA clusters. The authors applied stochastic geometry tools to analyze the performance of considered network and derived closed-form expressions for coverage probability and average sum-rate.…”

Section: Noma Applied To Wireless Sensor Networkmentioning

confidence: 99%

A Survey on Application of Non-Orthogonal Multiple Access to Different Wireless Networks

et al. 2019

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The fifth generation (5G) wireless systems are anticipated to meet unprecedented capacity and latency requirements. In order to resolve these challenges in 5G, non-orthogonal multiple access (NOMA) is considered as a promising technique due to its ability to enhance spectrum efficiency and user access. As opposed to conventional orthogonal multiple access (OMA) which relies on orthogonal resource sharing, NOMA has a potential of supporting a higher number of users by multiplexing different users in the same resource in a non-orthogonal manner. With advanced receiver techniques, such as successive interference cancellation (SIC), the intra-user interference can be minimized at the NOMA receiver. To date, there are comprehensive surveys on NOMA, which describe the integration of NOMA with different communication technologies and discuss different NOMA classifications. However, the existing literature is scarce in reviewing state-of-the-art applications of NOMA from the perspective of its application to cellular networks (CNs), device-to-device (D2D) communications, and wireless sensor networks (WSNs). Therefore, the purpose of this survey is to fill this gap in knowledge. Specifically, NOMA with its underlying concepts are elaborated in detail. In addition, detailed system model of different NOMA-based wireless networks is presented. Furthermore, irrespective of the underlying spatial topology of the considered NOMA-based wireless network, general analytical expressions are presented to characterize the network performance. Finally, some challenges related to NOMA design are highlighted and potential research directions are pointed out to address these issues.

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Section: Noma Applied To Wireless Sensor Networkmentioning

confidence: 99%

A Survey on Application of Non-Orthogonal Multiple Access to Different Wireless Networks

et al. 2019

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“…Recently, a frequency hopping network based on non-orthogonal multiple access (NOMA) was proposed [14]. In the NOMA system, the probability that the attacker intercepts the FH signal can be reduced through the two-stage relay communication [15], the additive artificial noise method [16], and the optimization of the power allocation for the beamforming scheme [17].…”

Section: Introductionmentioning

confidence: 99%

Radio Frequency Fingerprinting for Frequency Hopping Emitter Identification

et al. 2021

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In a frequency hopping spread spectrum (FHSS) network, the hopping pattern plays an important role in user authentication at the physical layer. However, recently, it has been possible to trace the hopping pattern through a blind estimation method for frequency hopping (FH) signals. If the hopping pattern can be reproduced, the attacker can imitate the FH signal and send the fake data to the FHSS system. To prevent this situation, a non-replicable authentication system that targets the physical layer of an FHSS network is required. In this study, a radio frequency fingerprinting-based emitter identification method targeting FH signals was proposed. A signal fingerprint (SF) was extracted and transformed into a spectrogram representing the time–frequency behavior of the SF. This spectrogram was trained on a deep inception network-based classifier, and an ensemble approach utilizing the multimodality of the SFs was applied. A detection algorithm was applied to the output vectors of the ensemble classifier for attacker detection. The results showed that the SF spectrogram can be effectively utilized to identify the emitter with 97% accuracy, and the output vectors of the classifier can be effectively utilized to detect the attacker with an area under the receiver operating characteristic curve of 0.99.

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“…This approach differs from works [7] to [10] because these employ an orthogonal MAM. Other works differ from the present because they deal with the slow frequency hopping CDMA [15, 16] and use criteria other than spectral efficiency to evaluate performance. An NOMA approach to FH‐CDMA seems to be lacking.…”

Section: Introductionmentioning

confidence: 99%

Spectral efficiency of a non‐orthogonal FH‐CDMA system

Marques¹,

Sharma

2020

IET Communications

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Fast frequency hopping code division multiple access (FH‐CDMA) is a low complexity option for multiuser communication in fast, frequency selective fading channels such as in mobile mmWave communications. The original, orthogonal FH‐CDMA has low spectral efficiency and up to now lacks a non‐orthogonal version. In this work, a soft input soft output, non‐orthogonal multiuser detector is designed using factor graphs. Extrinsic Information Transfer (EXIT) chart analysis of this detector allows determination of which multiple access code length maximises system spectral efficiency. Results show that when the access code length is reduced to an ideal length, spectral efficiency is maximised. Another conclusion is that maximum spectral efficiency is similar in value to a system with no multiple access method.

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Performance Analysis of Frequency Hopping Ad Hoc Communication System With Non-Orthogonal Multiple Access

Cited by 5 publications

References 33 publications

A Survey on Application of Non-Orthogonal Multiple Access to Different Wireless Networks

A Survey on Application of Non-Orthogonal Multiple Access to Different Wireless Networks

Radio Frequency Fingerprinting for Frequency Hopping Emitter Identification

Spectral efficiency of a non‐orthogonal FH‐CDMA system

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