Maximizing Secrecy Rate and Payoff Through Wireless Virtualization in Heterogeneous Wireless Networks

Abstract

In this paper, we study secrecy rate maximization through wireless virtualization in heterogeneous wireless networks where Mobile Virtual Network Operators (MVNOs) borrow frequency slices from Wireless Infrastructure Providers (WIPs) and serve the end users. For subleasing their frequency slices to MVNOs, WIPs use their service level agreements (SLA) with MVNOs to divide and reconfigure their RF bands. Then, we use two stage game for maximizing the payoff of MVNOs and secrecy rates (aka payoff) of end users. The performance of the proposed game is evaluated using numerical results where MVNOs offer lowers price to attract more users or more requests from users and the end users adapt their strategies to improve their secrecy rates.