Energy Efficient Resource Allocation Algorithm in Energy Harvesting-Based D2D Heterogeneous Networks

Energy harvesting (EH) from ambient energy sources can potentially reduce the dependence on the supply of grid or battery energy, providing many benefits to green communications. In this paper, we investigate the device-to-device (D2D) user equipments (DUEs) multiplexing cellular user equipments (CU...

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Bibliographic Details
Published in:IEEE internet of things journal Vol. 6; no. 1; pp. 557 - 567
Main Authors: Kuang, Zhufang, Liu, Gang, Li, Gongqiang, Deng, Xiaoheng
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.02.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
5G mobile communication
Algorithms
Batteries
Cellular networks
Computational geometry
Convex optimization
Convexity
Dependence
device-to-device (D2D) communication
Device-to-device communication
Downlink
Energy efficiency
Energy harvesting
energy harvesting (EH)
Energy management
Internet of Things
Iterative algorithms
Iterative methods
Links
Multiplexing
Optimization
Power efficiency
Power management
Resource allocation
Resource management
Slot allocation
ISSN:2327-4662, 2327-4662
Online Access:Get full text
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Summary:Energy harvesting (EH) from ambient energy sources can potentially reduce the dependence on the supply of grid or battery energy, providing many benefits to green communications. In this paper, we investigate the device-to-device (D2D) user equipments (DUEs) multiplexing cellular user equipments (CUEs) downlink spectrum resources problem for EH-based D2D communication heterogeneous networks (EH-DHNs). Our goal is to maximize the average energy efficiency of all D2D links, in the case of guaranteeing the quality of service of CUEs and the EH constraints of the D2D links. The resource allocation problems contain the EH time slot allocation of DUEs, power and spectrum resource block (RB) allocation. In order to tackle these issues, we formulate an average energy efficiency problem in EH-DHNs, taking into consideration EH time slot allocation, power and spectrum RB allocation for the D2D links, which is a nonconvex problem. Furthermore, we transform the original problem into a tractable convex optimization problem. We propose joint the EH time slot allocation, power and spectrum RB allocation iterative algorithm based on the Dinkelbach and Lagrangian constrained optimization. Numerical results demonstrate that the proposed iterative algorithm achieves higher energy efficiency for different network parameters settings.
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ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2018.2842738