Energy-efficient resource allocation in NOMA-integrated V2X networks

Shan, Liqing; Gao, Songtao; Chen, Shuaishuai; Xu, Mingkai; Zhang, Fenghui; Bao, Xuecai; Chen, Ming

doi:10.1016/j.comcom.2022.10.005

Cited by 11 publications

(8 citation statements)

References 33 publications

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“…In the searching stage, bald eagles search for prey surrounded by the search space selection and shift in various directions around a spiral space to speed up their search. In this searching phase, the best position is calculated in Equation (18). From Equation (18), the exact search position of the bald eagle is derived and the calculation is given in Equations ( 19)- (24), where P m denotes the mean bald eagle's position, P n denotes the new position of bald eagles…”

Section: Analytic Model Of Proposed Hybrid Optimization Algorithmmentioning

confidence: 99%

“…In this searching phase, the best position is calculated in Equation (18). From Equation (18), the exact search position of the bald eagle is derived and the calculation is given in Equations ( 19)- (24), where P m denotes the mean bald eagle's position, P n denotes the new position of bald eagles…”

Section: Analytic Model Of Proposed Hybrid Optimization Algorithmmentioning

confidence: 99%

“…In 2023, Shan et al 18 stated that cellular D2D communication increased spectrum efficiency in V2X communication networks, while NOMA increased link frequency even more. However, the extra interference caused by cellular connections of V2X has an impact on the required implementation state for NOMA for cellular D2D interactions.…”

Section: Related Workmentioning

confidence: 99%

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Resource allocation in paired users: Optimization‐assisted user grouping for fairness improvement of NOMA

Louis,

Dalton

2024

Int J Communication

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SummaryThe solution of resource allocation is based on NOMA and OMA structures that are suboptimal to satisfy the demanding QoS and higher data rate requirements compared to EE requirements in 5G cellular networks. In this work, the resource allocation problem in the hybrid MC‐NOMA system is solved. The system achieves the trade‐off between spectral and energy efficiency (EE) with the lowest rate of user requirements. The system's resource allocation, including power allocation, is considered the crucial factor and is identified as a single‐objective problem. The suggested work focuses on user pairing and allocation on paired users following processing. The user grouping is designed to connect near‐ and far‐users with high C3 to increase the fairness of NOMA. As a result, this work considers multiple goals, such as C3 maximization, spectrum efficiency, and energy efficiency. This paper aims to present a novel hybrid optimization model with the combination of coati and bald eagle optimization algorithms, to solve the defined optimization problem. The experimental results show that the suggested system outperforms the conventional algorithms by evaluating different performance measures such as channel correlation, spectrum efficiency, energy efficiency, and power allocation.

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Section: Analytic Model Of Proposed Hybrid Optimization Algorithmmentioning

confidence: 99%

Section: Analytic Model Of Proposed Hybrid Optimization Algorithmmentioning

confidence: 99%

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Resource allocation in paired users: Optimization‐assisted user grouping for fairness improvement of NOMA

Louis,

Dalton

2024

Int J Communication

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“…In some cases, it may also be helpful to use directional antennas to focus the signal in a particular direction 4 . The efficient use of available bandwidth can be achieved by using compression techniques for data and by using protocols that are designed to be efficient in their use of bandwidth 5 . A personal area network, or PAN, is a computer network organized around an individual person.…”

Section: Introductionmentioning

confidence: 99%

“…4 The efficient use of available bandwidth can be achieved by using compression techniques for data and by using protocols that are designed to be efficient in their use of bandwidth. 5 A personal area network, or PAN, is a computer network organized around an individual person. They are usually composed of portable devices such as laptops, tablets, and smartphones, as well as the peripherals and accessories that connect them to each other and to the Internet.…”

Section: Introductionmentioning

confidence: 99%

Energy‐efficient resource allocation model for device‐to‐device communication in 5G wireless personal area networks

Logeshwaran¹,

Nallasamy²,

Lloret

2023

Int J Communication

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Summary In general, there are several many devices that can overload the network and reduce performance. Devices can minimize interference and optimize bandwidth usage by using directional antennas and by avoiding overlapping communication ranges. In addition, devices need to carefully manage their use of resources, such as bandwidth and energy. Bandwidth is limited in wireless personal area networks (WPANs), so devices need to carefully select which data to send and receive. In this paper, an intelligent performance analysis of energy‐efficient resource optimization model has been proposed for device‐to‐device (D2D) communication in fifth‐generation (5G) WPAN. The proposed energy‐efficient resource allocation in D2D communication is important because it helps reduce energy consumption and extend the lifespan of devices that are communicating with each other. By allocating resources in an efficient manner, communication between two devices can be optimized for maximum efficiency. This helps reduce the amount of energy needed to power the communication, as well as the amount of energy needed to power the device that is communicating with another device. Additionally, efficient resource allocation helps reduce the overall cost of communication, as the use of fewer resources results in a lower overall cost. The proposed efficient resource allocation helps reduce the environmental impact of communication, as less energy is used for communication. The proposed energy‐efficient resource allocation model (EERAM) has reached 92.97% of energy allocation, 88.72% of power allocation, 87.79% of bandwidth allocation, 87.93% of spectrum allocation, 88.43% of channel allocation, 25.47% of end‐to‐end delay, 94.33% of network data speed, and 90.99% of network throughput.

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Beamforming Techniques for MIMO-NOMA for 5G and Beyond 5G: Research Gaps and Future Directions

Rehman,

Ahmad,

Manzar

et al. 2023

Circuits Syst Signal Process

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Energy-efficient resource allocation in NOMA-integrated V2X networks

Cited by 11 publications

References 33 publications

Resource allocation in paired users: Optimization‐assisted user grouping for fairness improvement of NOMA

Resource allocation in paired users: Optimization‐assisted user grouping for fairness improvement of NOMA

Energy‐efficient resource allocation model for device‐to‐device communication in 5G wireless personal area networks

Beamforming Techniques for MIMO-NOMA for 5G and Beyond 5G: Research Gaps and Future Directions

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