Lagrange's multiplier based resource management for energy efficient D2D communication in 5G networks

Pandey, Krishna; Arya, Rajeev; Kumar, Sandeep

doi:10.1007/s13198-020-01045-z

Cited by 12 publications

(10 citation statements)

References 26 publications

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“…X is Bandwidth and  is received SINR (Signal to Interference Noise Ratio) by D2D user. Energy efficiency can be defined as [24]:…”

Section: Cur mentioning

confidence: 99%

Robust Distributed Power Control with Resource Allocation in D2D Communication Network for 5G-IoT Communication System

Pandey¹,

Arya²

2022

IJCNIS

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In the domain of communication technologies, the Device-to-Device (D2D) communication becomes a predominant technology for the implementation of 5G communication system and Internet of Things (IoT) applications. In D2D communication Network, resource allocation and power management are the key areas of interest with ensuring the Quality of Services (QoS). Firstly, we propose the power control problem which is a non-convex problem. By using the log transformation approach, the non-convex problem converts into the convex optimization problem. Robust distributed power control method is further utilized for the power optimization at both ends (base station and D2D user) for underlay Inband D2D communication, where the cellular user and D2D user both use the cellular spectrum. After the power control, resource allocation is done to maximize the energy efficiency by 66.67% for the D2D system. Our proposed work provides new insight to power control techniques in D2D communication. Numerical analysis of the proposed algorithm reflects the impact of robust distributed power control for maintaining the quality of services and enhancing the energy efficiency of the system.

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“…X is Bandwidth and  is received SINR (Signal to Interference Noise Ratio) by D2D user. Energy efficiency can be defined as [24]:…”

Section: Cur mentioning

confidence: 99%

Robust Distributed Power Control with Resource Allocation in D2D Communication Network for 5G-IoT Communication System

Pandey¹,

Arya²

2022

IJCNIS

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“…Many authors work in the domain of energy efficiency, power management and resource allocation in D2D communication by using conventional optimizing algorithms. In [3], the authors represent the method for the resource allocation with mode selection and power control using Lagrange functions. In [4], the authors discuss interference management with power control using a centralized approach.…”

Section: Related Workmentioning

confidence: 99%

“…For the mode selection, we utilize the concept of Theorem 1 mentioned in [3]:

\begin{equation} k = \left\{ { \def\eqcellsep{&}\begin{array}{ll} {\rm{1,}} & {\rm{if\;D2D\;mode\;selected\;and\;reuse\;CUE\;uplink}}\\ &\quad {\rm{spectrum}}\\ {\rm{0,}} & {\rm{otherwise}} \end{array} } \right.\end{equation}

…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

Lyapunov optimization machine learning resource allocation approach for uplink underlaid D2D communication in 5G networks

Pandey

Arya

2021

IET Communications

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Device-to-device (D2D) communication plays a vital role in communication technologies with resource management and power control, which are the major issues for researchers in the era of 2020. In 5G networks, machine learning algorithms play a crucial role to manage these issues. In the proposed work, the problem is formulated for the uplink underlaid model of D2D communication. The Lyapunov optimization technique is utilized with a combination of machine learning techniques for resource allocation in D2D communication. First, the maximization of uplink and overall system capacity is formulated with resource management, which guarantees the signal to interference noise ratio for the D2D users. The optimization is a mixed integer non-linear problem which uses the Lyapunov optimization method to optimize the bit error rate value and iterative algorithm to optimize the power value with different constraints. After attaining the optimized value, the support vector machine technique is utilized to ensure the spectral efficiency of an overall system in autonomous mode. Simulation results show that the proposed method provides higher reliability and power efficiency with higher system capacity in comparison to prevailing technologies.

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“…Interference can be minimized by carefully choosing the frequency band and power level at which devices communicate. 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 .…”

Section: Introductionmentioning

confidence: 99%

“…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%

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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Lagrange's multiplier based resource management for energy efficient D2D communication in 5G networks

Cited by 12 publications

References 26 publications

Robust Distributed Power Control with Resource Allocation in D2D Communication Network for 5G-IoT Communication System

Robust Distributed Power Control with Resource Allocation in D2D Communication Network for 5G-IoT Communication System

Lyapunov optimization machine learning resource allocation approach for uplink underlaid D2D communication in 5G networks

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

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