Adaptive spectrum-shared association for controlled underlay D2D communication in cellular networks
Adaptive spectrum-shared association for controlled underlay D2D communication in cellular networks
This study proposes adaptive downlink association schemes for controlled device-to-device (D2D) communication in cellular networks. The proposed schemes utilise active devices under specific conditions to improve the network performance. Specifically, active devices are classified into two disjoint groups according to their individual quality of service (QoS) requirements from their base station (BS). The BS adaptively allocates downlink physical channels to meet individual QoS of devices using a minimal number of these available channels. The unused channels at each served device (in the first class) can be then utilised by that device to serve other devices from the second class, which are not served by the BS, via controlled D2D associations. Herein, D2D pair discovery as well as the conditions for establishing successful D2D association between the classified devices are treated. Furthermore, two D2D association schemes that vary in terms of their performance and implementation complexity to meet certain objectives at the device of interest are presented. The developed analytical results address the scenarios of idealised perfect and practical imperfect D2D association. Numerical results are provided to further explain the performance variations between the proposed association schemes under perfect and imperfect operation scenarios.
3075-3087
Radaydeh, Redha M.
04739d42-a01a-48d3-a112-c4a67f112766
Al-Qahtani, Fawaz S.
b898b465-80a2-4d10-88bf-4c8463fb98d8
Celik, Abdulkadir
f8e72266-763c-4849-b38e-2ea2f50a69d0
Alouini, Mohamed Slim
3ccd5915-318e-4f4b-b47a-48257ab4c0eb
Tayem, Nizar
31bd5233-39a5-44ca-9edc-eac64949cc07
Radaydeh, Redha M.
04739d42-a01a-48d3-a112-c4a67f112766
Al-Qahtani, Fawaz S.
b898b465-80a2-4d10-88bf-4c8463fb98d8
Celik, Abdulkadir
f8e72266-763c-4849-b38e-2ea2f50a69d0
Alouini, Mohamed Slim
3ccd5915-318e-4f4b-b47a-48257ab4c0eb
Tayem, Nizar
31bd5233-39a5-44ca-9edc-eac64949cc07
Radaydeh, Redha M., Al-Qahtani, Fawaz S., Celik, Abdulkadir, Alouini, Mohamed Slim and Tayem, Nizar
(2019)
Adaptive spectrum-shared association for controlled underlay D2D communication in cellular networks.
IET Communications, 13 (18), .
(doi:10.1049/iet-com.2019.0218).
Abstract
This study proposes adaptive downlink association schemes for controlled device-to-device (D2D) communication in cellular networks. The proposed schemes utilise active devices under specific conditions to improve the network performance. Specifically, active devices are classified into two disjoint groups according to their individual quality of service (QoS) requirements from their base station (BS). The BS adaptively allocates downlink physical channels to meet individual QoS of devices using a minimal number of these available channels. The unused channels at each served device (in the first class) can be then utilised by that device to serve other devices from the second class, which are not served by the BS, via controlled D2D associations. Herein, D2D pair discovery as well as the conditions for establishing successful D2D association between the classified devices are treated. Furthermore, two D2D association schemes that vary in terms of their performance and implementation complexity to meet certain objectives at the device of interest are presented. The developed analytical results address the scenarios of idealised perfect and practical imperfect D2D association. Numerical results are provided to further explain the performance variations between the proposed association schemes under perfect and imperfect operation scenarios.
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IET Communications - 2019 - Radaydeh - Adaptive spectrum‐shared association for controlled underlay D2D communication in
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Accepted/In Press date: 20 August 2019
e-pub ahead of print date: 1 November 2019
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© The Institution of Engineering and Technology 2019
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Local EPrints ID: 504356
URI: http://eprints.soton.ac.uk/id/eprint/504356
ISSN: 1751-8628
PURE UUID: aba9159b-69dd-4509-a98b-b01e31553bbd
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Date deposited: 08 Sep 2025 16:41
Last modified: 09 Sep 2025 02:21
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Author:
Redha M. Radaydeh
Author:
Fawaz S. Al-Qahtani
Author:
Abdulkadir Celik
Author:
Mohamed Slim Alouini
Author:
Nizar Tayem
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