RETRACTED ARTICLE: A novel approach to QoS-aware resource allocation in NOMA cellular HetNets using multi-layer optimization

Mohajer, Amin

doi:10.1007/s10586-022-03734-9

Cited by 2 publications

(2 citation statements)

References 48 publications

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“…The optimization problem is solved using a greedy‐based matching parameter determination algorithm. Mirzaei 14 has presented a method to reduce UAV cellular network energy consumption. To achieve the best level of energy efficiency while satisfying users' QoS needs, the model has optimized the association and power utility of users.…”

Section: Related Workmentioning

confidence: 99%

Power allocation for enhancing energy efficiency in unmanned aerial vehicle networks

Rose,

Subasini,

Vinnarasi

et al. 2024

Int J Communication

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SummaryThe non‐orthogonal multiple access (NOMA) wireless networks are a robust multi‐access mechanism that serves multiple clients accessing the same resource block simultaneously. The fifth‐generation wireless networks offer huge efficiency in spectrum utilization, which can be exploited to deploy NOMA for LOS communication of unmanned aerial vehicles (UAVs). Previous research has extensively analyzed various aspects of NOMA‐UAV communication systems, including user access fairness, coverage, maximizing system capacity, and total energy efficiency. However, only a few researchers have focused on maximizing the EE of NOMA‐UAV wireless networks with user quality of service (QoS) constraints. This paper proposes a fuzzy logic‐based crossover‐based coati optimization algorithm for maximizing the energy efficiency of NOMA‐UAV, along with user scheduling. The main objective of this model is to offer a solution to the joint energy efficiency and user QoS scheduling problem. The fuzzy decision‐making strategy optimizes the energy efficiency (EE) of NOMA‐UAV by selecting appropriate power and time resources. Additionally, the crossover‐based coati optimization algorithm transforms the subchannel allocation problem into a two‐sided matching procedure. The efficiency of the proposed algorithm is evaluated concerning overall residual energy, number of remaining nodes, and time consumption. The experimental outcomes demonstrate the capability of the proposed model in optimizing the energy efficiency of the NOMA‐UAV network by identifying the optimal resource set in terms of time and power while satisfying the clients' QoS.

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Section: Related Workmentioning

confidence: 99%

Power allocation for enhancing energy efficiency in unmanned aerial vehicle networks

Rose,

Subasini,

Vinnarasi

et al. 2024

Int J Communication

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“…The appropriate technique may be used to implement the UA scheme. The field testing results also provide light on the real performance of HetNet in real-world applications and the actual performance improvement that a user may obtain by using coordinated multipoint transmission based on HetNet [150]. Moreover, in the case of actual situations where the network characteristics are unknown and alter over time, UA strategies and machine learning methods for online learning-based policies might be explored.…”

Section: Multiple Cell Associationmentioning

confidence: 99%

A Survey on Resource Management for 6G Heterogeneous Networks: Current Research, Future Trends, and Challenges

et al. 2023

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The sixth generation (6G) mobile communication system is expected to meet the different service needs of modern communication scenarios. Heterogeneous networks (HetNets) have received a lot of attention in recent years due to their potential as a novel structure for evolutionary networks. When compared to homogeneous networks, HetNets provide more potential for spatial spectrum reuse and higher quality of service (QoS). However, effective resource management (RM) solutions are essential to prevent interference and accomplish spectrum sharing due to mutual interference. This paper presents a comprehensive review of resource management in 6G HetNets. The study aims to give crucial background on HetNets to aid in the creation of more effective methods in this field of study. First, a detailed examination of recent work is presented in resource management aspects such as power allocation, user association, mode selection, and spectrum allocation. Second, we identify the most severe challenges associated with the current resource management methods and propose suitable solutions. Finally, several open issues and emerging areas of research are highlighted.

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RETRACTED ARTICLE: A novel approach to QoS-aware resource allocation in NOMA cellular HetNets using multi-layer optimization

Cited by 2 publications

References 48 publications

Power allocation for enhancing energy efficiency in unmanned aerial vehicle networks

Power allocation for enhancing energy efficiency in unmanned aerial vehicle networks

A Survey on Resource Management for 6G Heterogeneous Networks: Current Research, Future Trends, and Challenges

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