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.
|Number of pages||5|
|Journal||IEEE Communications Letters|
|Publication status||Published - 2021 Mar|
Bibliographical noteFunding 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: email@example.com).
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All Science Journal Classification (ASJC) codes
- Modelling and Simulation
- Computer Science Applications
- Electrical and Electronic Engineering