Resource Allocation for D2D Cellular Networks With QoS Constraints: A DC Programming- Based Approach

Device-to-device (D2D) communications provide efficient ways to increase spectrum utilization ratio with reduced power consumption for proximity wireless applications. In this paper, we investigate resource allocation strategies for D2D communications underlaying cellular networks. To be specific, w...

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Main Authors: Hao-Hsuan Chang, Lingjia Liu, Jianan Bai, Alex Pidwerbetsky, Allan Berlinsky, Joe Huang, Jonathan D. Ashdown, Kurt Turck, Yang Yi
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9632560/
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author Hao-Hsuan Chang
Lingjia Liu
Jianan Bai
Alex Pidwerbetsky
Allan Berlinsky
Joe Huang
Jonathan D. Ashdown
Kurt Turck
Yang Yi
author_facet Hao-Hsuan Chang
Lingjia Liu
Jianan Bai
Alex Pidwerbetsky
Allan Berlinsky
Joe Huang
Jonathan D. Ashdown
Kurt Turck
Yang Yi
author_sort Hao-Hsuan Chang
collection DOAJ
description Device-to-device (D2D) communications provide efficient ways to increase spectrum utilization ratio with reduced power consumption for proximity wireless applications. In this paper, we investigate resource allocation strategies for D2D communications underlaying cellular networks. To be specific, we study the centralized resource allocation algorithm for controlling transmit powers of the underlying D2D pairs in order to maximize the weighted sum-rate while guaranteeing the quality of service (QoS) requirements for both D2D pairs and cellular users (CUs). A novel DC (difference of convex function) programming-based method, called alternative DC (ADC) programming, is introduced to effectively solve this complicated resource allocation problem. Through updating each D2D pair’s power alternatively, the QoS requirement for each D2D pair can be solvable and incorporated systematically to the introduced ADC programming framework. The simulation results show that the introduced ADC programming achieves the highest weighted sum-rate compared to the state-of-the-art methods while ensuring that the QoS of each D2D pair and CU are satisfied.
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spelling doaj.art-00e2b6f5146b4c5db4a6b909c8486cb32022-12-21T17:24:03ZengIEEEIEEE Access2169-35362022-01-0110164241643810.1109/ACCESS.2021.31322609632560Resource Allocation for D2D Cellular Networks With QoS Constraints: A DC Programming- Based ApproachHao-Hsuan Chang0https://orcid.org/0000-0002-6910-054XLingjia Liu1https://orcid.org/0000-0003-1915-1784Jianan Bai2https://orcid.org/0000-0002-7064-5280Alex Pidwerbetsky3https://orcid.org/0000-0001-7436-8105Allan Berlinsky4https://orcid.org/0000-0001-5314-7178Joe Huang5Jonathan D. Ashdown6https://orcid.org/0000-0001-7202-1095Kurt Turck7Yang Yi8https://orcid.org/0000-0002-1354-0204Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USABradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USABradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USACACI International Inc., Arlington, VA, USACACI International Inc., Arlington, VA, USACACI International Inc., Arlington, VA, USACommunications and Computing Division, Air Force Research Laboratory Information Directorate, Rome, NY, USACommunications and Computing Division, Air Force Research Laboratory Information Directorate, Rome, NY, USABradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USADevice-to-device (D2D) communications provide efficient ways to increase spectrum utilization ratio with reduced power consumption for proximity wireless applications. In this paper, we investigate resource allocation strategies for D2D communications underlaying cellular networks. To be specific, we study the centralized resource allocation algorithm for controlling transmit powers of the underlying D2D pairs in order to maximize the weighted sum-rate while guaranteeing the quality of service (QoS) requirements for both D2D pairs and cellular users (CUs). A novel DC (difference of convex function) programming-based method, called alternative DC (ADC) programming, is introduced to effectively solve this complicated resource allocation problem. Through updating each D2D pair’s power alternatively, the QoS requirement for each D2D pair can be solvable and incorporated systematically to the introduced ADC programming framework. The simulation results show that the introduced ADC programming achieves the highest weighted sum-rate compared to the state-of-the-art methods while ensuring that the QoS of each D2D pair and CU are satisfied.https://ieeexplore.ieee.org/document/9632560/D2D communicationsresource allocationpower controlDC programming
spellingShingle Hao-Hsuan Chang
Lingjia Liu
Jianan Bai
Alex Pidwerbetsky
Allan Berlinsky
Joe Huang
Jonathan D. Ashdown
Kurt Turck
Yang Yi
Resource Allocation for D2D Cellular Networks With QoS Constraints: A DC Programming- Based Approach
IEEE Access
D2D communications
resource allocation
power control
DC programming
title Resource Allocation for D2D Cellular Networks With QoS Constraints: A DC Programming- Based Approach
title_full Resource Allocation for D2D Cellular Networks With QoS Constraints: A DC Programming- Based Approach
title_fullStr Resource Allocation for D2D Cellular Networks With QoS Constraints: A DC Programming- Based Approach
title_full_unstemmed Resource Allocation for D2D Cellular Networks With QoS Constraints: A DC Programming- Based Approach
title_short Resource Allocation for D2D Cellular Networks With QoS Constraints: A DC Programming- Based Approach
title_sort resource allocation for d2d cellular networks with qos constraints a dc programming based approach
topic D2D communications
resource allocation
power control
DC programming
url https://ieeexplore.ieee.org/document/9632560/
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