Abstract
This paper proposes an adaptive realistic mechanism for joint network and user selection in cooperative wireless network environments. We present a novel optimization utility to incorporate the quality-of-service (QoS) dynamics of the available networks along with heterogeneous attributes of each user. The joint network and user selection is modelled by an evolutionary game theoretical approach and replicator dynamics is solved to seek an optimal stable solution. Combining both self-control of users’ preferences and self-adjustment of networks’ parameters, our study innovates over related efforts. The simulation results demonstrate that the proposed inverse cumulative ranking scheme significantly improves the overall QoS performance and system benefits as compared to other solutions. Our results also show that by incorporating the proposed Region of Interest (RoI) scheme, the complexity of the evolutionary game with and without network re-configuration can be reduced by 23% and 58 % respectively.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.