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  4. A two-game algorithm for device-to-device resource allocation with frequency reuse
 
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A two-game algorithm for device-to-device resource allocation with frequency reuse

Citation Link: https://doi.org/10.15480/882.3105
Publikationstyp
Conference Paper
Date Issued
2019-09
Sprache
English
Author(s)
Lindner, Sebastian 
Elsner, Raphael  orcid-logo
Tran, Phuong Nga  
Timm-Giel, Andreas  orcid-logo
Institut
Kommunikationsnetze E-4  
TORE-DOI
10.15480/882.3105
TORE-URI
http://hdl.handle.net/11420/4529
Article Number
8891493
Citation
IEEE 90th Vehicular Technology Conference, VTC 2019 Fall: 8891493 (2019-09-01)
Contribution to Conference
IEEE 90th Vehicular Technology Conference, VTC 2019 Fall  
Publisher DOI
10.1109/VTCFall.2019.8891493
Scopus ID
2-s2.0-85075251560
Publisher
IEEE
Next generation mobile systems aim to meet the strict demands of an exponentially increasing number of users. Particularly device-to-device (D2D) communication has attracted a lot of attention during the last years. D2D communication can ofïoad cellular trafïc off the base station. It may reuse radio frequency resources simultaneously used by cellular communication for D2D transmissions, thereby increasing spectral efïciency and system capacity. However, reusing frequency resources can lead to in-cell interference. The expected interference must therefore be actively mitigated as part of the scheduling process. We investigate a novel joint radio resource scheduling and allocation algorithm for D2D communication that makes use of two methods from the ïeld of game theory. It aims to meet the respective userâ™s Quality of Service requirements and strives for fairness between users by playing a Transferable Utility game. At the same time it actively mitigates in-cell interference from frequency resource reuse and determines an optimal transmission power through Stackelberg gameplays. It is shown through simulation that system performance increases if resource allocation and reuse is done in a coordinated manner. The proposed scheduler scales well due to its polynomial computational complexity and outperforms baseline schedulers and the single-game approach in several simulated scenarios.
DDC Class
004: Informatik
Publication version
acceptedVersion
Lizenz
http://rightsstatements.org/vocab/InC/1.0/
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