TY - GEN
T1 - Self-organized device-to-device communications as a non-cooperative quitting game
AU - Driouech, Safaa
AU - Sabir, Essaid
AU - Tembine, Hamidou
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017
Y1 - 2017
N2 - While trying to get a service from the Base station it happens that many devices will find themselves competing to get the cellular service, which means each device will use the maximum power possible to win the competition, but if there is another solution that will allow the device to get what it wanted with minimum of energy, how the device will react to it? In other words, we know that the communication through a Device-to-Device (D2D) link is done with a minimum of transmitted power, so why not optimize the power in a cellular communication by introducing D2D communication (i.e. switching from competition to cooperation). In this paper we will focus on studying the players'behavior based on quitting games(i.e. a non cooperative game theory), specifying both the pure and mixed Nash equilibrium during a competition between two devices while communicating with the base station, as well as calculating the probability of quitting and the average quitting time.
AB - While trying to get a service from the Base station it happens that many devices will find themselves competing to get the cellular service, which means each device will use the maximum power possible to win the competition, but if there is another solution that will allow the device to get what it wanted with minimum of energy, how the device will react to it? In other words, we know that the communication through a Device-to-Device (D2D) link is done with a minimum of transmitted power, so why not optimize the power in a cellular communication by introducing D2D communication (i.e. switching from competition to cooperation). In this paper we will focus on studying the players'behavior based on quitting games(i.e. a non cooperative game theory), specifying both the pure and mixed Nash equilibrium during a competition between two devices while communicating with the base station, as well as calculating the probability of quitting and the average quitting time.
KW - Competition
KW - Cooperation
KW - Device-to-device
KW - Nash equilibrium
KW - Quitting game mechanism
UR - http://www.scopus.com/inward/record.url?scp=85041452333&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85041452333&partnerID=8YFLogxK
U2 - 10.1109/WINCOM.2017.8238170
DO - 10.1109/WINCOM.2017.8238170
M3 - Conference contribution
AN - SCOPUS:85041452333
T3 - Proceedings - 2017 International Conference on Wireless Networks and Mobile Communications, WINCOM 2017
BT - Proceedings - 2017 International Conference on Wireless Networks and Mobile Communications, WINCOM 2017
A2 - Kobbane, Abdellatif
A2 - Ibrahimi, Khalil
A2 - Hadi, Moulay Youssef
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 International Conference on Wireless Networks and Mobile Communications, WINCOM 2017
Y2 - 1 November 2017 through 4 November 2017
ER -