Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2854
Title: Joint Channel and Power Allocation for Device-To Underlay
Authors: Kılıç, Gökhan
Girici, Tolga
Keywords: Device-to-device (D2D)
cellular network
underlay
resource allocation
partial CSI
interference
power control
mixed integer programming
Publisher: Elsevier B.V.
Source: Kılıç, G., and Girici, T. (2019). Joint channel and power allocation for device-to-device underlay. Ad Hoc Networks, 83, 158-167.
Abstract: Device-to-device transmission is one of the enabling technologies of 5G, with a potential of significantly improving the spectral efficiency. Spectral reuse in D2D underlay necessitates interference management. A challenge in D2D underlay systems is the increased number of D2D and interfering links and CSI feedback requirement. In this work, we propose a solution for D2D channel allocation, which requires only the neighbor information of D2D communicating nodes. We aim to maximize the supported D2D pairs with a constraint on the interference caused at the base station, at each subchannel. We formulate the channel allocation problem as a Mixed integer programming (MIP). We also combine it with an iterative power control scheme in order to fit more D2D pairs in the channels. We also propose suboptimal channel + power allocation algorithms and evaluate and compare their performances by simulations. Numerical results reveal that the proposed algorithms perform quite close to the MIP-based solution and power control significantly increases the number of served D2D pairs. (C) 2018 Elsevier B.V. All rights reserved.
URI: https://hdl.handle.net/20.500.11851/2854
https://www.sciencedirect.com/science/article/pii/S1570870518306449?via%3Dihub
ISSN: 1570-8705
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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