ABSTRACT To manage and enable service customization among multiple internet service providers (ISPs) sharing the common physical infrastructure and network capacity in virtualized Wi-Fi networks, this paper models and optimizes access point-station (STA) association via airtime usage control. More specifically, an optimization problem is formulated on the STAs' transmission probabilities to maximize the overall network throughput, while providing airtime usage guarantees for the ISPs. As the proposed optimization problem is inherently non-convex, an algorithm to reach the optimal solution is developed by applying monomial approximation and geometric programming iteratively. Based on the proposed 3-D Markov-chain model of the enhanced distributed channel access protocol, the detailed implementation of the optimal transmission probability of each STA is also discussed by manipulating medium access control parameters. The performance of the developed association and airtime control scheme is evaluated through numerical results. For both homogeneous and non-homogeneous STA distributions, numerical results reveal performance gains of the proposed algorithm in improving the throughput and keeping airtime usage guarantees. INDEX TERMS Wireless local area networks (WLANs), IEEE 802.11 standard, AP-STA association, airtime control, throughput, Markov chain, geometric programming, virtualized wireless networks.
Derakhshani et al. REF modeled the Enhanced Distributed Channel Access (EDCA) protocol with a 3-D Markov chain and established the relationship between the transmission probability of a STA and the EDCA parameters, then proposed an algorithm to reach the optimal solution by applying monomial approximation and geometric programming iteratively.
AP-STA Association Control for Throughput Maximization in Virtualized WiFi Networks
IEEE Access
IEEE Access
Computer Science