Energy-Efficient Power Allocation for NOMA With Imperfect CSI

Zamani, Mohammad; Eslami, Mohsen; Khorramizadeh, Mostafa; Ding, Zhiguo

doi:10.1109/tvt.2018.2882500

Cited by 84 publications

(45 citation statements)

References 20 publications

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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%

User Fairness in NOMA-HetNet Using Optimized Power Allocation and Time Slotting

Swami

Bhatia

Vuppala

et al. 2021

IEEE Systems Journal

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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%

User Fairness in NOMA-HetNet Using Optimized Power Allocation and Time Slotting

Swami

Bhatia

Vuppala

et al. 2021

IEEE Systems Journal

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“…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%

“…A lot of literature discussed on the resource allocation to achieve energy efficiency of NOMA [16,[18][19][20][21][22][23][24][25][26][27][28]. Resource allocation is a key area to achieve the full potential of communication systems with NOMA [19].…”

Section: Resource Allocationmentioning

confidence: 99%

“…In [16,18,20,[22][23][24], derivation of optimal power allocation strategies under different categories of channel state information (CSI) namely, known CSI, statistical CSI and imperfect CSI have been studied to improve the performance in terms of providing minimum per user data rate requirements and minimization of transmission power. In [18,20], energy efficient allocation algorithms were proposed for single-cell downlink NOMA with perfect CSI.…”

Section: Channel Assignmentmentioning

confidence: 99%

See 2 more Smart Citations

A New Green Prospective of Non-orthogonal Multiple Access (NOMA) for 5G

et al. 2020

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Energy efficiency is a major concern in the emerging mobile cellular wireless networks since massive connectivity is to be expected with high energy requirements from the network operators. Non-orthogonal multiple access (NOMA) being the frontier multiple access scheme for 5G, there exists numerous research attempts on enhancing the energy efficiency of NOMA enabled wireless networks while maintaining its outstanding performance metrics such as high throughput, data rates and capacity maximized optimally.The concept of green NOMA is introduced in a generalized manner to identify the energy efficient NOMA schemes. These schemes will result in an optimal scenario in which the energy generated for communication is managed sustainably. Hence, the effect on the environment, economy, living beings, etc is minimized. The recent research developments are classified for a better understanding of areas which are lacking attention and needs further improvement. Also, the performance comparison of energy efficient, NOMA schemes against conventional NOMA is presented. Finally, challenges and emerging research trends, for energy efficient NOMA are discussed.

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Cooperative NOMA system with incremental relaying and energy harvesting: Performance analysis and optimization

Reshma

Babu

2020

Trans Emerging Tel Tech

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This article investigates the outage performance of incremental relaying based energy harvesting non-orthogonal multiple access (IR-EH-NOMA) system. Firstly, we describe the IR-EH-NOMA protocol considering downlink user assisted relaying and power splitting (PS) based EH strategy. We derive analytical expressions for the outage probabilities experienced by the downlink users and the system outage probability of IR-EH-NOMA network, in the presence of imperfect successive interference cancellation (I-SIC). For comparison, we derive the corresponding outage expressions for the conventional cooperative relaying based NOMA network with EH (CR-EH-NOMA network) as well. We provide extensive numerical and Monte-Carlo simulation results to establish the supremacy of IR-EH-NOMA system over CR-EH-NOMA system in terms of the outage performance. We separately derive analytical expressions for (i) the optimal power allocation (OPA) factor at the source and (ii) the optimal power splitting (OPS) factor at the relay that minimizes the asymptotic system outage probability of the considered networks. With the help of numerical and simulation investigations, we establish that the system outage of the considered networks improve significantly when OPA and OPS factors are selected according to the criterion described in the article. The analytical results are validated by extensive simulation studies.

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Energy-Efficient Power Allocation for NOMA With Imperfect CSI

Cited by 84 publications

References 20 publications

User Fairness in NOMA-HetNet Using Optimized Power Allocation and Time Slotting

User Fairness in NOMA-HetNet Using Optimized Power Allocation and Time Slotting

A New Green Prospective of Non-orthogonal Multiple Access (NOMA) for 5G

Cooperative NOMA system with incremental relaying and energy harvesting: Performance analysis and optimization

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