Performance Investigation of NOMA Versus OMA Techniques for mmWave Massive MIMO Communications

Ghosh, Joydev; Sharma, Vishal; Hacı, Hüseyin; Singh, Saurabh

doi:10.1109/access.2021.3102301

Cited by 21 publications

(7 citation statements)

References 53 publications

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“…In [ 7 ], the authors compared uplink OMA and NOMA from a fairness perspective. Based on the maximum likelihood receiver, the authors of [ 13 , 14 ] proposed a resource allocation scheme for NOMA. A comparison of OMA and NOMA in terms of spectral efficiency on the uplink channel was studied in [ 15 ].…”

Section: Methodsmentioning

confidence: 99%

Performance Evaluation of Cooperative OMA and NOMA Systems in 6G Deployment Scenarios

Jain

Gupta

Kumar

et al. 2022

Sensors

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Optimization of the energy efficiency, fairness, and rates of the system is a vital part of communication systems. Multiple access techniques have a huge potential to enhance such performance parameters. This paper studies the performance of NOMA and OMA systems in a singular cell environment, where the cellular users are distributed randomly, and cooperative relays are considered for better system reliability. The relay nodes forward the signals to the cell-edge users. This paper considers a practical scenario where all the relay equipment is distributed with non-uniform battery power levels. The performance of OMA and NOMA schemes is compared based on the key performance indicators: sum rate, fairness, and energy efficiency. The fairness factor determines fairness in the allocation of resources to all the system’s users. The performance of the two schemes is assessed in three deployment scenarios: urban, suburban, and rural scenarios. Through numerical results, it is proved that the performance of the NOMA dominates the OMA scheme.

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Section: Methodsmentioning

confidence: 99%

Performance Evaluation of Cooperative OMA and NOMA Systems in 6G Deployment Scenarios

Jain

Gupta

Kumar

et al. 2022

Sensors

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“…The use of a hybrid TDM-LDM structure is suggested to increase capacity gains. Ghosh et al [31] compared NOMA technology with OMA for mmWave massive multi input multi output (MIMO). Sharnil et al [19] analyzed a hybrid NOMA-OFDM 5G multiuser wireless system using a deep neural network.…”

Section: A Related Workmentioning

confidence: 99%

A New 5G Cellular Broadcasting Approach: Hybrid LDM-NOMA and FeMBMS-OMA Analysis Based on Stochastic Geometry

et al. 2023

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In this paper, an alternative hybrid infrastructure to complete the media cellular TV puzzle called 5G broadcast is introduced and developed. The performance of a non-orthogonal and orthogonal physical hybrid layer for cellular broadcasting is investigated. A downlink layered division multiplexing with non-orthogonal multiple access (LDM-NOMA) together with a further evolved multimedia broadcast multicast service with orthogonal multiple access (FeMBMS-OMA) is superimposed. In our scenario, we have defined them as two broadcast service providers (BSPs), whereby the former recruits the latter as a cooperative layer. Service selection is done by using a binary factor access technology. We assume that there is perfect knowledge with channel state information for Rayleigh fading multipath channel. Bit error rate (BER) and outage/coverage capacity are selected as our inquiries stochastic geometry benchmarks. The spectrum constellations of the scheme are worked according to the resource block (RB) element/symbols and different modulations. The proposed framework can work without a subscriber identity module (SIM card) uplink and internet protocol (IP). Mathematical analysis, based on the exact closed-form expressions, is consistent with the theory of the proposed LDM-NOMA and FeMBMS-OMA. The simulation results are based on the Monte Carlo iterative methodology, and demonstrate the superiority of the hybrid framework compared to each of the technologies separately.

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“…As a multiple access (MA) technique for the next generation of wireless communication systems, NOMA (especially PD-NOMA) has been widely recognized as a promising candidate [19]. In NOMA, multiple users can access the same time-frequency resource in power domain via SC at the transmitter side and SIC at the receiver side [20].…”

Section: Basic Concepts Of Nomamentioning

confidence: 99%

Spectral and energy efficiencies maximization in downlink NOMA systems

Keti

Atroshey²,

Hamadamin³

2022

Bulletin EEI

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Due to the huge connectivity and ever-growing demands of diverse services and high data rate applications, more effective radio access techniques are required for the next generation wireless systems. Non-orthogonal multiple access (NOMA) is a promising candidate which has been recognized as an effective multiple access technique that notably improves the spectral efficiency (SE). In addition to SE, energy efficiency (EE) is also attracting too much interest nowadays due to the limited power of end users (EU) and internet of things (IoT) devices, and the strict environmental concerns related to global carbon dioxide (CO2) emission of communication devices. However, in fact there is a trade-off relationship between SE and EE. In this paper, the SE-EE trade-off relationship in NOMA-based systems is mathematically modeled and analyzed. On the other hand, in order to attain an elastic SE-EE trade-off relationship, the problem is formulated as an optimization problem with an objective of maximizing the EE under the constraint of satisfying a minimum SE demand. Simulation results confirmed the theoretical findings of this study and further asserted the validation of the proposed power allocation scheme which aims to achieve a more flexible trad-off relationship between SE and EE.

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Performance Investigation of NOMA Versus OMA Techniques for mmWave Massive MIMO Communications

Cited by 21 publications

References 53 publications

Performance Evaluation of Cooperative OMA and NOMA Systems in 6G Deployment Scenarios

Performance Evaluation of Cooperative OMA and NOMA Systems in 6G Deployment Scenarios

A New 5G Cellular Broadcasting Approach: Hybrid LDM-NOMA and FeMBMS-OMA Analysis Based on Stochastic Geometry

Spectral and energy efficiencies maximization in downlink NOMA systems

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