Leveraging the path diversity in heterogeneous wireless networks by Multi-path TCP (MPTCP) not only depends on end-user's decisions but also on other competitors who are looking for maximizing their benefits. The incomplete information repeated Bayesian game is proposed to enhance the MPTCP throughput in a resource-shared wireless network context. Mobile nodes establish the initial path in the first stage by choosing the best opening sub-flows connection. Moreover, by receiving feedbacks regarding the preference of other opponents the repeated Bayesian game in the second stage improves the achievable throughput via selecting the best combination of networks. The numerical and simulation results demonstrate that the proposed algorithm could at least achieve (17%-24%) more throughput than WiFi in the initial path selection and (11%-14%) more throughput than MPTCP.
Multi-Path TCP Incomplete Information Repeated Bayesian Game
2017-09-01
281179 byte
Conference paper
Electronic Resource
English
A Bayesian Approach to Reliability-Based Optimization With Incomplete Information
Online Contents | 2006
|Spacecraft differential game interception control method under incomplete information
European Patent Office | 2023
|MADRL-based UAV swarm non-cooperative game under incomplete information
Elsevier | 2024
|