Energy optimized resource and power allocation in an uplink‐based underlay device‐to‐device communication for 5G network

Nagarajan, Rajkumar; Mohammed, V. Noor

doi:10.1002/dac.5145

Cited by 3 publications

(3 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It can be divided into three categories: environmentally friendly, transmission resource saving, and economically efficient. The environmentally friendly type is mainly characterized by clean energy power generation, the transmission resource saving type is mainly characterized by low transmission line losses, and the economically efficient type is mainly characterized by low selling electricity prices [4][5].…”

Section: Classification Of Electricity Preferencesmentioning

confidence: 99%

Refined Resource Allocation Algorithm for Power Trading Centers Based on User Service Needs

Cai,

Zheng,

Luo

et al. 2024

Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December

View full text Add to dashboard Cite

In order to understand the refined resource allocation algorithm for power trading centers, a research on a refined resource allocation algorithm for power trading centers that is oriented towards user service needs has been proposed. Firstly, distinguish the nodes in the electricity market into two types of entities: energy nodes and energy block proxy routers; Subsequently, preferences in energy supply and demand are divided into three categories based on historical energy supply habits: environmentally friendly, transmission resource saving, and economically efficient; Furthermore, a class of energy information matching algorithms and comprehensive evaluation functions are proposed to meet the optimal allocation of power resources in a multi user environment. Simulation experiments show that this method can increase the proportion of clean energy consumption in market transactions, promote energy consumption nearby, and improve the resource allocation capacity of the power grid.

show abstract

Section: Classification Of Electricity Preferencesmentioning

confidence: 99%

Refined Resource Allocation Algorithm for Power Trading Centers Based on User Service Needs

Cai,

Zheng,

Luo

et al. 2024

Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December

View full text Add to dashboard Cite

show abstract

“…The features of blockchain technology support the requirements of D2D communication. 14,15 The contribution of this research can be listed as follows:…”

Section: Introductionmentioning

confidence: 99%

“…D2D technology is vulnerable to security and privacy issues. The features of blockchain technology support the requirements of D2D communication 14,15 …”

Section: Introductionmentioning

confidence: 99%

An optimized device‐to‐device (D2D) blockchain network for the insurance industry

Bilgehan¹,

Sabuncu²

2023

Int J Communication

View full text Add to dashboard Cite

Summary Blockchain, a popular technology, remains the decentralized data management framework approved for use by many industries. The application to the insurance industry needs to offer mobility using the wireless network. The wireless network has many limitations to overcome. This paper focuses on such problems and introduces three levels of a solution to the problem. The first level is resolved using the edge computers as storage at the agencies and the partners. The second level of economic operation is solved by introducing a D2D network solution. The third level of high transactions over the network is considered using a two‐stage optimization method. The introduced optimization algorithms are simulated, and results are compared with a classical step‐by‐step calculation method that is not feasible under real‐time application. The optimization methods successfully determine the maximum channel rate with the interferences influencing the operation of such a system.

show abstract

A modified LSTM with QoS aware hybrid AVO algorithm to enhance resource allocation in D2D communication

Pasha,

Mohamad

2024

J Wireless Com Network

View full text Add to dashboard Cite

In communication technologies, device-to-device (D2D) communication is essential for resource management and power control, which are major research concerns nowadays. D2D resource allocation involves dividing vital resources, such as time, power, and spectrum, among several devices. Each device can connect to other devices via one or more frequency channels. D2D communication shares the cellular user resources, while signal power transmission causes interference to the users who share the same channel. So, there is a need to control the power of the D2D device to prevent interference. For proper power control and optimization of multi-channel D2D communication, which is a challenging task, we proposed a deep learning approach incorporating a hybrid resource allocation framework. This framework aims to increase the sum rate of D2D user equipment (DUE) while considering quality of service (QoS) factors like limiting interference to cellular user equipment (CUE) and guaranteeing individual DUE rates above a certain threshold. The proposed resource allocation scheme combines two methods, namely a metaheuristic hybrid particle swarm Cauchy approach to African vulture optimization (HPSCAV) and a modified long short-term memory (MLSTM) based approach. The HPSCAV scheme helps to ensure that the QoS constraints are met, while the MLSTM-based approach is utilized for efficient resource allocation by optimizing the power and improving it with HPSCAV. Simulation results validate that the proposed model achieved better performance in various metrics such as system capacity, power consumption, spectral efficiency (SE), and energy efficiency (EE).

show abstract

Energy optimized resource and power allocation in an uplink‐based underlay device‐to‐device communication for 5G network

Cited by 3 publications

References 50 publications

Refined Resource Allocation Algorithm for Power Trading Centers Based on User Service Needs

Refined Resource Allocation Algorithm for Power Trading Centers Based on User Service Needs

An optimized device‐to‐device (D2D) blockchain network for the insurance industry

A modified LSTM with QoS aware hybrid AVO algorithm to enhance resource allocation in D2D communication

Contact Info

Product

Resources

About