Nash Equilibrium Study for Distributed Mode Selection and Power Control in D2D Communications
One of the main challenges of LTE-advanced (LTE-A) is to recover the local-area services and improve spectrum effciency. In order to reach those goals technical capabilities are required. D2D is a promising techniques for the 5G wireless com- munications system using several applications, as: networ...
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2020
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| Acceso en línea: | https://www.intechopen.com/chapters/72921 |
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| _version_ | 1879164695474077696 |
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| author | Najeh, Sameh Bouallegue, Ammar |
| author_browse | Bouallegue, Ammar Najeh, Sameh |
| author_facet | Najeh, Sameh Bouallegue, Ammar |
| author_sort | Najeh, Sameh |
| building | IntechOpen |
| collection | Acceso abierto |
| description | One of the main challenges of LTE-advanced (LTE-A) is to recover the local-area services and improve spectrum effciency. In order to reach those goals technical capabilities are required. D2D is a promising techniques for the 5G wireless com- munications system using several applications, as: network traffic offoading, public safety, social services and applications such as gaming and military applications. In this chapter, we investigate both mode selection and distributed power control in D2D system. Indeed, the mode selection is provided while respecting a predeter- mined SINR threshold relative to cellular and D2D users. The amount of minimum and maximum power are then derived to fulffill the predetermined requirements, by limiting the interference created by underlaid D2D users. In order to realize our proposed power control step, a new distributed control approach is proposed using game theory tools for several cellular and D2D users. This distributed approach is based on the mode selection strategy already proposed in the previous step. Finally, simulations were established in order to compare the proposed distributed algo- rithm in terms of coverage probability which is based on game theory, with other conventional centralized algorithms. |
| doi_str_mv | 10.5772/intechopen.92362 |
| first_indexed | 2026-10-15T21:38:25Z |
| format | Book Chapter |
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<dc:title>Nash Equilibrium Study for Distributed Mode Selection and Power Control in D2D Communications</dc:title>
<dc:creator>Sameh Najeh</dc:creator>
<dc:creator>Ammar Bouallegue</dc:creator>
<dc:subject>Physical Sciences, Engineering and Technology</dc:subject>
<dc:description>One of the main challenges of LTE-advanced (LTE-A) is to recover the local-area services and improve spectrum effciency. In order to reach those goals technical capabilities are required. D2D is a promising techniques for the 5G wireless com- munications system using several applications, as: network traffic offoading, public safety, social services and applications such as gaming and military applications. In this chapter, we investigate both mode selection and distributed power control in D2D system. Indeed, the mode selection is provided while respecting a predeter- mined SINR threshold relative to cellular and D2D users. The amount of minimum and maximum power are then derived to fulffill the predetermined requirements, by limiting the interference created by underlaid D2D users. In order to realize our proposed power control step, a new distributed control approach is proposed using game theory tools for several cellular and D2D users. This distributed approach is based on the mode selection strategy already proposed in the previous step. Finally, simulations were established in order to compare the proposed distributed algo- rithm in terms of coverage probability which is based on game theory, with other conventional centralized algorithms.</dc:description>
<dc:publisher>IntechOpen</dc:publisher>
<dc:date>2020-09-15</dc:date>
<dc:type>Chapter, Part Of Book</dc:type>
<dc:identifier>https://www.intechopen.com/chapters/72921</dc:identifier>
<dc:identifier>doi:10.5772/intechopen.92362</dc:identifier>
<dc:language>en</dc:language>
<dc:relation>ISBN:978-1-83968-327-5</dc:relation>
<dc:rights>https://creativecommons.org/licenses/by/3.0/</dc:rights>
<dc:source>https://www.intechopen.com/books/7772 ; Systems-of-Systems Perspectives and Applications - Design, Modeling, Simulation and Analysis (MS&A), Gaming and Decision Support</dc:source>
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| id | intech-72921 |
| institution | IntechOpen |
| isbn | 978-1-83968-327-5 |
| language | English |
| last_indexed | 2026-10-15T21:38:25Z |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | oai_dc |
| spelling | intech-729212020-09-15 Nash Equilibrium Study for Distributed Mode Selection and Power Control in D2D Communications Sameh Najeh Ammar Bouallegue Physical Sciences, Engineering and Technology One of the main challenges of LTE-advanced (LTE-A) is to recover the local-area services and improve spectrum effciency. In order to reach those goals technical capabilities are required. D2D is a promising techniques for the 5G wireless com- munications system using several applications, as: network traffic offoading, public safety, social services and applications such as gaming and military applications. In this chapter, we investigate both mode selection and distributed power control in D2D system. Indeed, the mode selection is provided while respecting a predeter- mined SINR threshold relative to cellular and D2D users. The amount of minimum and maximum power are then derived to fulffill the predetermined requirements, by limiting the interference created by underlaid D2D users. In order to realize our proposed power control step, a new distributed control approach is proposed using game theory tools for several cellular and D2D users. This distributed approach is based on the mode selection strategy already proposed in the previous step. Finally, simulations were established in order to compare the proposed distributed algo- rithm in terms of coverage probability which is based on game theory, with other conventional centralized algorithms. IntechOpen 2020-09-15 Chapter, Part Of Book https://www.intechopen.com/chapters/72921 doi:10.5772/intechopen.92362 en ISBN:978-1-83968-327-5 https://creativecommons.org/licenses/by/3.0/ https://www.intechopen.com/books/7772 ; Systems-of-Systems Perspectives and Applications - Design, Modeling, Simulation and Analysis (MS&A), Gaming and Decision Support |
| spellingShingle | Physical Sciences, Engineering and Technology Najeh, Sameh Bouallegue, Ammar Nash Equilibrium Study for Distributed Mode Selection and Power Control in D2D Communications |
| title | Nash Equilibrium Study for Distributed Mode Selection and Power Control in D2D Communications |
| title_full | Nash Equilibrium Study for Distributed Mode Selection and Power Control in D2D Communications |
| title_fullStr | Nash Equilibrium Study for Distributed Mode Selection and Power Control in D2D Communications |
| title_full_unstemmed | Nash Equilibrium Study for Distributed Mode Selection and Power Control in D2D Communications |
| title_short | Nash Equilibrium Study for Distributed Mode Selection and Power Control in D2D Communications |
| title_sort | nash equilibrium study for distributed mode selection and power control in d2d communications |
| topic | Physical Sciences, Engineering and Technology |
| url | https://www.intechopen.com/chapters/72921 |
| work_keys_str_mv | AT najehsameh nashequilibriumstudyfordistributedmodeselectionandpowercontrolind2dcommunications AT bouallegueammar nashequilibriumstudyfordistributedmodeselectionandpowercontrolind2dcommunications |