Joint Network Admission Control, Mode Assignment, and Power Allocation in Energy Harvesting Aided D2D Communication

Green communication with sustainable energy is being considered for 5G cellular network and Internet of Things (IoT) mainly with focus on energy harvesting (EH) to prolong network lifetime. Moreover, device-to-device (D2D) communication on shared channels is also considered as a promising technology...

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Bibliographic Details
Published in:IEEE transactions on industrial informatics Vol. 16; no. 3; pp. 1914 - 1923
Main Authors: Awan, Asfand Yar, Ali, Mudassar, Naeem, Muhammad, Qamar, Farhan, Sial, Muhammad Nadeem
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.03.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
5G mobile communication
Adaptive algorithms
Admission control
branch–bound
Cellular communication
Clean energy
Communication
device-to-device (D2D)
Device-to-device communication
Energy
Energy harvesting
energy harvesting (EH)
Energy transfer
green communication
Internet of Things
Internet of Things (IoT)
mesh adaptive direct search (MADS)
Mixed integer
Nonlinear programming
outer approximation
Power management
Radio frequency
Resource allocation
Resource management
Service life assessment
Transmitters
ISSN:1551-3203, 1941-0050
Online Access:Get full text
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Summary:Green communication with sustainable energy is being considered for 5G cellular network and Internet of Things (IoT) mainly with focus on energy harvesting (EH) to prolong network lifetime. Moreover, device-to-device (D2D) communication on shared channels is also considered as a promising technology to achieve high data rates, ultralow latency communication, and high spectral efficiency. In this paper, we investigated resource allocation in EH-aided D2D communication underlying 5G cellular along with enabling IoT services. The objective is to maximize throughput of the network subject to the joint constraints on user performance, number of admitted users for equity and fair usage, mode assignment (cellular or D2D) as per available energy, and transmit power allocation along with EH techniques, which results in a mixed integer nonlinear programming problem. We have proposed a low complexity and efficient algorithm, adaptive resource allocation and energy sentient network (ARA-ESN) using branch-cut, branch-bound, and mesh adaptive direct search (MADs) solutions, where cellular or D2D communication is based on available energy and user performance criteria along with EH through ambient energy and radio frequency (RF) energy transfer techniques. We have applied the outer approximation based linearization technique that guarantees the convergence to the optimal solution. The results show that ARA-ESN branch-cut outperforms ARA-ESN branch-bound and ARA-ESN MADs. Moreover, we have also observed that ambient harvesting increases performance of network due to better acquisition of energy as compared to RF energy transfer.
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ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2019.2922667