Resource sharing for software defined D2D communications in virtual wireless networks with imperfect NSI

We propose a framework for software defined device-to-device (D2D) communications in virtual wireless networks. With software defined D2D communications, the decisions such as radio resource management are made at a central controller as a piece of software. This work studies the resource sharing problem given imperfect network state information (NSI). We formulate the problem as a discrete stochastic optimization problem maximizing the network-wide sum utility, and develop discrete stochastic approximation (DSA) algorithms to address the stochastic optimization problem. Such algorithms can reduce the computation complexity compared with exhaustive search while achieving satisfactory performance. Extensive simulations show that users´ welfare can benefit from both wireless network virtualization and software defined D2D communications.