Game-Theoretic Power and Rate Control in IEEE 802.11<i>p</i> Wireless Networks
Optimization of the transmission power and rate allocation is a significant problem in wireless networks with mobile nodes. Due to mobility, the vehicles establishing wireless networks may exhibit severe fluctuations of their link quality, affecting their connection reliability and throughput. In Ve...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/11/10/1618 |
| _version_ | 1797500243839811584 |
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| author | Evangelos D. Spyrou Evangelos Vlachos Chrysostomos Stylios |
| author_facet | Evangelos D. Spyrou Evangelos Vlachos Chrysostomos Stylios |
| author_sort | Evangelos D. Spyrou |
| collection | DOAJ |
| description | Optimization of the transmission power and rate allocation is a significant problem in wireless networks with mobile nodes. Due to mobility, the vehicles establishing wireless networks may exhibit severe fluctuations of their link quality, affecting their connection reliability and throughput. In Vehicular Ad-hoc Networks (VANETS), the IEEE 802.11<i>p</i> standard provides a practical metric for the Packet Reception Ratio (PRR), which is related with the transmission power and rate. Finding a global strategy for optimizing PRR for all mobile nodes can be treated as a potential game where each vehicle is considered as a selfish player, aiming to maximise its transmission reliability while rate constraints are satisfied. To this end, we propose a game-theoretic approach that converges to a Nash equilibrium. The main contributions of this work include: (i) identification of the best case equilibrium, for two cases of interference: diminished or kept stable, and (ii) verification of the equilibrium optimality, by showing that the value of stability is 1. Moreover, numerical results exhibiting the ease of the utility function calculation are provided, especially after an SINR level, whereby the utility function is concave and can be solved efficiently in polynomial time. |
| first_indexed | 2024-03-10T03:00:09Z |
| format | Article |
| id | doaj.art-8f84f34ddc694ef19e6449aed33e3118 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T03:00:09Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-8f84f34ddc694ef19e6449aed33e31182023-11-23T10:47:51ZengMDPI AGElectronics2079-92922022-05-011110161810.3390/electronics11101618Game-Theoretic Power and Rate Control in IEEE 802.11<i>p</i> Wireless NetworksEvangelos D. Spyrou0Evangelos Vlachos1Chrysostomos Stylios2Department of Informatics and Telecommunications, University of Ioannina, 47150 Arta, GreeceIndustrial Systems Institute, Athena Research Center, Patras Science Park Building, 26504 Patras, GreeceDepartment of Informatics and Telecommunications, University of Ioannina, 47150 Arta, GreeceOptimization of the transmission power and rate allocation is a significant problem in wireless networks with mobile nodes. Due to mobility, the vehicles establishing wireless networks may exhibit severe fluctuations of their link quality, affecting their connection reliability and throughput. In Vehicular Ad-hoc Networks (VANETS), the IEEE 802.11<i>p</i> standard provides a practical metric for the Packet Reception Ratio (PRR), which is related with the transmission power and rate. Finding a global strategy for optimizing PRR for all mobile nodes can be treated as a potential game where each vehicle is considered as a selfish player, aiming to maximise its transmission reliability while rate constraints are satisfied. To this end, we propose a game-theoretic approach that converges to a Nash equilibrium. The main contributions of this work include: (i) identification of the best case equilibrium, for two cases of interference: diminished or kept stable, and (ii) verification of the equilibrium optimality, by showing that the value of stability is 1. Moreover, numerical results exhibiting the ease of the utility function calculation are provided, especially after an SINR level, whereby the utility function is concave and can be solved efficiently in polynomial time.https://www.mdpi.com/2079-9292/11/10/1618utility functionpotential gamerate allocationtransmission powerprice of stabilityDSRC |
| spellingShingle | Evangelos D. Spyrou Evangelos Vlachos Chrysostomos Stylios Game-Theoretic Power and Rate Control in IEEE 802.11<i>p</i> Wireless Networks Electronics utility function potential game rate allocation transmission power price of stability DSRC |
| title | Game-Theoretic Power and Rate Control in IEEE 802.11<i>p</i> Wireless Networks |
| title_full | Game-Theoretic Power and Rate Control in IEEE 802.11<i>p</i> Wireless Networks |
| title_fullStr | Game-Theoretic Power and Rate Control in IEEE 802.11<i>p</i> Wireless Networks |
| title_full_unstemmed | Game-Theoretic Power and Rate Control in IEEE 802.11<i>p</i> Wireless Networks |
| title_short | Game-Theoretic Power and Rate Control in IEEE 802.11<i>p</i> Wireless Networks |
| title_sort | game theoretic power and rate control in ieee 802 11 i p i wireless networks |
| topic | utility function potential game rate allocation transmission power price of stability DSRC |
| url | https://www.mdpi.com/2079-9292/11/10/1618 |
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