Resource Allocation Scheme for Guarantee of QoS in D2D Communications Using Deep Neural Network

Woongsup Lee; Kisong Lee

doi:10.1109/LCOMM.2020.3042490

Resource Allocation Scheme for Guarantee of QoS in D2D Communications Using Deep Neural Network

Woongsup Lee, Kisong Lee

Graduate School of Information

Research output: Contribution to journal › Article › peer-review

Abstract

In this letter, we propose a hybrid resource allocation scheme for multi-channel underlay device-to-device (D2D) communications. In our proposed scheme, the transmit power of D2D user equipment (DUE) allocated to each channel is controlled in order to maximize the sum rate of the DUEs for a given Quality of Service (QoS) constraints. We consider two QoS constraints such that the interference caused on cellular user equipment (CUE) is kept to be less than a predefined level and the rate of individual DUE is managed to be larger than a predefined threshold. In order to solve the drawbacks associated with previous deep neural network (DNN)-based approaches in which QoS constraints could be violated with high probability, a heuristic equally reduced power (ERP) scheme, is utilized together with a DNN-based scheme. By means of simulations under various environments, we verify that the proposed scheme provides a near-optimal sum rate while guaranteeing the QoS constraints with a low computation time.

Original language	English
Article number	9281322
Pages (from-to)	887-891
Number of pages	5
Journal	IEEE Communications Letters
Volume	25
Issue number	3
DOIs	https://doi.org/10.1109/LCOMM.2020.3042490
Publication status	Published - 2021 Mar

Bibliographical note

Funding Information:
Manuscript received September 25, 2020; revised November 1, 2020; accepted December 1, 2020. Date of publication December 4, 2020; date of current version March 10, 2021. This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2018R1D1A1B07040796). The associate editor coordinating the review of this letter and approving it for publication was T. Han. (Corresponding author: Kisong Lee.) Woongsup Lee is with the Department of Information and Communication Engineering, Gyeongsang National University, Tongyoung 53064, Republic of Korea (e-mail: wslee@gnu.ac.kr).

Publisher Copyright:
© 1997-2012 IEEE.

All Science Journal Classification (ASJC) codes

Modelling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/LCOMM.2020.3042490

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abstract = "In this letter, we propose a hybrid resource allocation scheme for multi-channel underlay device-to-device (D2D) communications. In our proposed scheme, the transmit power of D2D user equipment (DUE) allocated to each channel is controlled in order to maximize the sum rate of the DUEs for a given Quality of Service (QoS) constraints. We consider two QoS constraints such that the interference caused on cellular user equipment (CUE) is kept to be less than a predefined level and the rate of individual DUE is managed to be larger than a predefined threshold. In order to solve the drawbacks associated with previous deep neural network (DNN)-based approaches in which QoS constraints could be violated with high probability, a heuristic equally reduced power (ERP) scheme, is utilized together with a DNN-based scheme. By means of simulations under various environments, we verify that the proposed scheme provides a near-optimal sum rate while guaranteeing the QoS constraints with a low computation time.",

author = "Woongsup Lee and Kisong Lee",

note = "Funding Information: Manuscript received September 25, 2020; revised November 1, 2020; accepted December 1, 2020. Date of publication December 4, 2020; date of current version March 10, 2021. This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2018R1D1A1B07040796). The associate editor coordinating the review of this letter and approving it for publication was T. Han. (Corresponding author: Kisong Lee.) Woongsup Lee is with the Department of Information and Communication Engineering, Gyeongsang National University, Tongyoung 53064, Republic of Korea (e-mail: wslee@gnu.ac.kr). Publisher Copyright: {\textcopyright} 1997-2012 IEEE.",

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Resource Allocation Scheme for Guarantee of QoS in D2D Communications Using Deep Neural Network

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