On NOMA-Based mmWave Communications

Tian, Yu; Pan, Gaofeng; Alouini, Mohamed‐Slim

doi:10.1109/tvt.2020.3041020

Cited by 15 publications

(10 citation statements)

References 33 publications

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“…Compared with TDMA based MIMO-mmWave networks for D2D communications, for NOMA-based MIMO-mmWave networks, Outage Probability tends to decrease exponentially, whereas ergodic capacity increases linearly [227]. All the before-mentioned literature used the Nakagami-m Fading model to represent small-scale fading, whereas [228] used Fluctuating Two-Ray model (FTR) obtained the same results with a better precision. Thus, we can summarize that NOMA-mmWave based 5G networks can accomplish a better overall throughput than conventional OMA-based Networks.…”

Section: F Mmwave Communicationmentioning

confidence: 94%

A Survey on Cache-Aided NOMA for 6G Networks

Bepari¹,

Mondal²,

Chandra³

et al. 2022

Preprint

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Contrary to orthogonal multiple-access (OMA), non-orthogonal multiple-access (NOMA) schemes can serve a pool of users without exploiting the scarce frequency or time domain resources. This is useful in meeting the sixth generation (6G) network requirements, such as, low latency, massive connectivity, users' fairness, and high spectral efficiency. On the other hand, content caching restricts duplicate data transmission by storing popular contents in advance at the network edge which reduces 6G data traffic. In this survey, we focus on cache-aided NOMA-based wireless networks which can reap the benefits of both cache and NOMA; switching to NOMA from OMA enables cache-aided networks to push additional files to content servers in parallel and improve the cache hit probability. Beginning with fundamentals of cache-aided NOMA technology, we summarize the performance goals of cache-aided NOMA systems, present the associated design challenges, and categorize related recent literature based on their application verticals. Concomitant standardization activities and open research challenges are highlighted as well.

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Section: F Mmwave Communicationmentioning

confidence: 94%

A Survey on Cache-Aided NOMA for 6G Networks

Bepari¹,

Mondal²,

Chandra³

et al. 2022

Preprint

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“…[9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [32], [33], [34], [35], [36], [37] and can even often lead to the same logarithmic form as an end result.…”

Section: B Contributions and Organization Of The Papermentioning

confidence: 99%

“…[6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [32], [33], [34], [35], [36], [37] has a similar form to that of the Nakagami capacity integral as…”

Section: A Frequently Seen Integral In the Intermediate Steps When An...mentioning

confidence: 99%

Tight Logarithmic Approximations and Bounds for Generic Capacity Integrals and Their Applications to Statistical Analysis of Wireless Systems

Tanash

Riihonen

2022

IEEE Trans. Commun.

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We present tight yet tractable approximations and 1 bounds for the ergodic capacity of any communication system 2 in the form of a weighted sum of logarithmic functions, with 3 the focus on the Nakagami and lognormal distributions that 4 represent key building blocks for more complicated systems. 5 A minimax optimization technique is developed to derive their 6 coefficients resulting in uniform absolute or relative error. These 7 approximations and bounds constitute a powerful tool for the 8 statistical performance analysis as they enable the evaluation 9 of the ergodic capacity of various communication systems that 10 experience small-scale fading together with the lognormal shad-11 owing effect and allow for simplifying the complicated integrals 12 encountered when evaluating the ergodic capacity in different 13 communication scenarios. Simple and tight closed-form solutions 14 for the ergodic capacity of many classic and timely application 15 examples are derived using the logarithmic approximations. The 16 high accuracy of the proposed approximations is verified by 17 numerical comparisons with existing approximations and with 18 those obtained directly from numerical integration methods.19

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“…Also, he showed the inverse SIC technique 21 for NOMA systems based on the decoding of the user having the lowest power allocation factor

(Ω)

and employing the others as interference. While, authors in Reference 22 presented the outage probability and ergodic capacity for NOMA over mmWave communications.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of non‐orthogonal multiple access assisted cooperative maritime communication system over two‐wave with diffuse power fading

Makkar

Soni

Rawal

et al. 2022

Trans Emerging Tel Tech

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Non-orthogonal multiple access (NOMA) and millimeter-wave (mmWave) communication are two promising technologies to fulfill the high throughput and reliable communication requirements. Maritime communication systems use a generalized fading at near-sea-surface channels (for seashore to ship/boat/fishing fleet communication) to provide reliable communication due to atmospheric turbulence. Experimental research on generalized two-wave diffuse power (TWDP) fading reveal the footprints of mmWave. This article proposes novel exact and asymptotic closed-form expressions of average symbol error probability (ASEP) of NOMA users for cooperative maritime communication systems over TWDP fading with the different modulations. The end-to-end closed-form expressions are derived in terms of Appell's and Lauricella's hypergeometric functions. Also, the ASEP is shown using the power allocation factor for different modulation schemes. The proposed system provides better transmission reliability using generalized TWDP fading. Further, the outage probability of the system described above is analyzed using the distance, path loss exponent, transmission rate, and Rician factor as performance metrics for both the NOMA users. Effects of fading outage parameters on the system performance are studied. The end-to-end exact numerical results have been verified with the Monte-Carlo simulations that validate with asymptotic results at a high SNR regime.

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On NOMA-Based mmWave Communications

Cited by 15 publications

References 33 publications

A Survey on Cache-Aided NOMA for 6G Networks

A Survey on Cache-Aided NOMA for 6G Networks

Tight Logarithmic Approximations and Bounds for Generic Capacity Integrals and Their Applications to Statistical Analysis of Wireless Systems

Performance analysis of non‐orthogonal multiple access assisted cooperative maritime communication system over two‐wave with diffuse power fading

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