Best Relay Selection Schemes for NOMA Based Cognitive Relay Networks in Underlay Spectrum Sharing

Sultan, Kiran

doi:10.1109/access.2020.3031631

Cited by 27 publications

(16 citation statements)

References 30 publications

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“…Another cooperative CR based SISO NOMA is presented in [152], where a BS serves a near-and a far-user. Due to absence of direct link between the BS and the far-user, the communication is established with the help of a single selected HD-AF relay among the R available ones.…”

Section: ) Conventional Noma Cooperative Relaying Systemmentioning

confidence: 99%

Error Rate Analysis of NOMA: Principles, Survey and Future Directions

Yahya¹,

Ahmed²,

Alsusa³

et al. 2023

Preprint

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<div>Non-orthogonal multiple access (NOMA) has received an enormous attention in the recent literature due to its potential to improve the spectral efficiency of wireless networks. For several years, most of the research efforts on the performance analysis of NOMA were steered towards the ergodic sum rate and outage probability. More recently, error rate analysis of NOMA has attracted massive attention and sparked massive number of researchers whose aim was to evaluate the error rate of the various NOMA configurations and designs. Therefore, the large number of publications that appeared in a short time duration made highly challenging for the research community to identify the contribution of the different research articles. Therefore, this work aims at surveying the research work that considers NOMA error rate analysis and classifying the contributions of each work. Therefore, work redundancy and overlap can be minimized, research gabs can be identified, and future research directions can be outlined. Moreover, this work presents the principles of NOMA error rate analysis.</div>

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Section: ) Conventional Noma Cooperative Relaying Systemmentioning

confidence: 99%

Error Rate Analysis of NOMA: Principles, Survey and Future Directions

Yahya¹,

Ahmed²,

Alsusa³

et al. 2023

Preprint

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“…The outage performance of SUs in underlay CNOMA using amplify-and-forward (AF) [16] and decode-and-forward (DF) [17] relaying protocols have been analyzed. Various relay selection schemes have been explored in [18] for an underlay CNOMA system operating with multiple DF relays. A cooperative underlay CNOMA-based coordinated direct and relay transmission has been investigated in [19].…”

Section: A Literature Reviewmentioning

confidence: 99%

“…However, in the case of DF relaying, if the primary signal x p could not be decoded at node S after the first IT phase, node S can utilize all its harvested power in transmitting its own information. Hence, the equivalent SNR expression at node R can be given by (18).…”

Section: Proposed Ir Protocolmentioning

confidence: 99%

“…Proof: By adopting the similar steps as followed for (49) in Appendix B, one can get the result in (52). Next, F γ noc sr (γ s ) can be obtained using (18) with the help of following lemma as follows:…”

Section: ) Ipsicmentioning

confidence: 99%

“…Using(18), the CDF F γ noc sr (γ s ) = Pr γ noc sr < γ s can be expressed asF γ noc sr (γ s ) = Pr βγ ps |h sr | 2 < γ s = Pr |h sr | 2 < γOn substituting the corresponding PDF, CDF in (80) and simplifying further with the aid of [43, eq. 3.351.3], one can get the required result as provided in(53).…”

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confidence: 99%

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Performance Analysis of Energy Harvesting-Assisted Overlay Cognitive NOMA Systems With Incremental Relaying

Shukla

Singh

Upadhyay

et al. 2021

IEEE Open J. Commun. Soc.

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In this paper, we analyze the performance of an energy harvesting (EH)-assisted overlay cognitive non-orthogonal multiple access (NOMA) system. The underlying system consists of a primary transmitter-receiver pair accompanied by an energy-constrained secondary transmitter (ST) with its intended receiver. Accordingly, ST employs a time switching (TS) based receiver architecture to harvest energy from radio-frequency signals of the primary transmissions, and thereby uses this energy to relay the primary information and to transmit its own information simultaneously using the NOMA principle. For this, we propose two cooperative spectrum sharing (CSS) schemes based on incremental relaying (IR) protocol using amplify-and-forward (AF) and decode-and-forward (DF) strategies, viz., CSS-IAF and CSS-IDF, and compare their performance with the competitive fixed relaying based schemes. The proposed IR-based schemes adeptly avail the degrees-of-freedom to boost the system performance. Thereby, considering the realistic assumption of the NOMA-based imperfect successive interference cancellation, we derive the expressions of outage probability for the primary and secondary networks under both CSS-IAF and CSS-IDF schemes subject to the Nakagami-m fading. In addition, we quantify the throughput and energy efficiency for the considered system. The obtained theoretical findings are finally validated through numerous analytical and simulation results to reveal the advantages of the proposed CSS schemes over the baseline direct link transmission and orthogonal multiple access schemes.Index Terms-Amplify-and-forward, cognitive radio, decode-and-forward, energy harvesting, incremental relaying, non-orthogonal multiple access (NOMA), overlay spectrum sharing, simultaneous wireless information and power transfer (SWIPT).Recently, the NOMA technique has been commonly debated in the context of cognitive radio (CR), which is another potential This work is carried out under BRICS Multilateral R&D Project with No.

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Cooperative Spectrum Sharing in Cognitive Radio Networks with Energy Harvesting

Sultan

2023

Advances in Systems Engineering

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Best Relay Selection Schemes for NOMA Based Cognitive Relay Networks in Underlay Spectrum Sharing

Cited by 27 publications

References 30 publications

Error Rate Analysis of NOMA: Principles, Survey and Future Directions

Error Rate Analysis of NOMA: Principles, Survey and Future Directions

Performance Analysis of Energy Harvesting-Assisted Overlay Cognitive NOMA Systems With Incremental Relaying

Cooperative Spectrum Sharing in Cognitive Radio Networks with Energy Harvesting

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