2019
DOI: 10.1109/tvt.2018.2882500
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Energy-Efficient Power Allocation for NOMA With Imperfect CSI

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Cited by 85 publications
(45 citation statements)
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“…1) EE Calculation: EE is calculated as the ratio of sum rate achieved by user over the total power consumed [32], [33]. The EE achieved by the different TS technique is calculated as…”
Section: Ee Qos Fairness Index and Qoe Fairness Index Calculationmentioning
confidence: 99%
“…1) EE Calculation: EE is calculated as the ratio of sum rate achieved by user over the total power consumed [32], [33]. The EE achieved by the different TS technique is calculated as…”
Section: Ee Qos Fairness Index and Qoe Fairness Index Calculationmentioning
confidence: 99%
“…Power domain Resource allocation [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35] Energy harvesting and transfer [36][37][38][39][40][41][42][43][44][45][46][47][48][49] Interference cancellation techniques [50][51][52][53][54][55] Sleep/wake modes [56][57][58][59][60] Code domain Sparse code multiple access (SCMA) [61,62] Space time block coding (STBC) [56,63] Polar codes [64][...…”
Section: Domain Technology Citationsmentioning
confidence: 99%
“…Hence, related research works on enhancing energy efficiency are revisited and presented in this paper. In most of the existing literature [16][17][18][19][20][21][22][23][24][25][26][27], proposed algorithms are derived using probability, optimization, signal processing principles and are used to derive optimal or sub-optimal energy efficient algorithms. The approaches for green NOMA of wireless networks can be classified under two major categories namely power domain and code domain NOMA as illustrated in Figure 2.…”
Section: Classification Of Green Noma Technologiesmentioning
confidence: 99%
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