Energy Efficient Resource Allocation in Hybrid Non-Orthogonal Multiple Access Systems

Shi, Jia; Yu, Wenjuan; Ni, Qiang; Liang, Wei; Li, Zan; Xiao, Pei

doi:10.1109/tcomm.2019.2893304

Cited by 66 publications

(43 citation statements)

References 35 publications

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“…As a result, an exhaustive search method would be required to solve this problem. To solve the problem efficiently, we need to decouple the subcarrier allocation and power allocation, similar to the approach in [43]. Hence, Problem P 0 can be reformulated as which indicate that the subcarrier and power allocation are carried out separately.…”

Section: Optimal Subcarrier and Power Allocationmentioning

confidence: 99%

A New Non-Linear Joint Model for RF Energy Harvesters in Wireless Networks

AlQahtani

Chen

Feng

et al. 2021

IEEE Trans. on Green Commun. Netw.

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Section: Optimal Subcarrier and Power Allocationmentioning

confidence: 99%

A New Non-Linear Joint Model for RF Energy Harvesters in Wireless Networks

AlQahtani

Chen

Feng

et al. 2021

IEEE Trans. on Green Commun. Netw.

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“…Here, the impact of the proposed solution against the densities of small BSs and users is addressed. Further, a practical implementation of a hybrid NOMA network by combining the concepts of non-orthogonal multiple access (NOMA) and orthogonal frequency division multiplexing and a heuristic resource allocation algorithm is proposed which includes a low complexity user clustering mechanism utilizing search and allocation approach [94].…”

Section: Practical Aspects Of Deploying Green Nomamentioning

confidence: 99%

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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“…Moreover, energy efficiency receives significant attention from both academia and industry researches since the information and communication sector consumes 5% of the total global energy consumption [10]. Hence, many researchers have concentrated on energy efficiency in the NOMA system [11][12][13]. An energy-efficient novel power allocation algorithm is presented in [9] where the optimization problem is formulated based on imperfect CSI with outage probability constraints and then it is relaxed to a non-probabilistic problem.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Power Allocation for Imperfect Csi Downlink Noma System

Aldebes

Dimyati

Hanafi

2021

AEJ

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The fifth generation (5G) networks must provide the massively increased number of users by thousand times higher data rate at lower power consumption. Thus, optimizing the energy efficiency (EE) becomes an essential issue that has to be researched from the green communication perspective. Non-orthogonal multiple access (NOMA) is considered one of the high potential techniques in fifth-generation systems. This technology is favorable to maximize the energy efficiency and the spectrum efficiency by composing different signals at the same time on the same carrier at different power levels. In this paper, a low complexity power allocation algorithm is proposed in imperfect channel state information (CSI) downlink NOMA cellular system, where obtaining full CSI at the base station is considered a challenge. The proposed algorithm relies on the fact that the allocated power is inversely proportional to the channel strength of the user to implement the successive interference cancellation (SIC) technique at the user terminal to reconstruct the desired signal. The performance of the system is analyzed in terms of energy efficiency and outage probability and compared to the conventional orthogonal multiple access (OMA) system. Results show that the proposed algorithm increases the energy efficiency by about 50% compared to the conventional OMA technology, and an improvement in the outage probability has been achieved. Furthermore, the effect of the error in the channel estimation on the energy efficiency in imperfect CSI NOMA system is evaluated. The simulation shows that the energy efficiency reduces when the channel estimation error increases; and the best performance is achieved in the perfect CSI case where the channel estimation error is zero.

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Energy Efficient Resource Allocation in Hybrid Non-Orthogonal Multiple Access Systems

Cited by 66 publications

References 35 publications

A New Non-Linear Joint Model for RF Energy Harvesters in Wireless Networks

A New Non-Linear Joint Model for RF Energy Harvesters in Wireless Networks

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

Energy-Efficient Power Allocation for Imperfect Csi Downlink Noma System

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