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Software-defined networking (SDN) is the concept of decoupling the controland data planes to create a flexible and agile network, assisted by a centralcontroller. However, the performance of SDN highly depends on the limitationsin the fronthaul which are inadequately discussed in the existing literature.In this paper, a fronthaul-aware software-defined resource allocation mechanismis proposed for 5G wireless networks with in-band wireless fronthaulconstraints. Considering the fronthaul capacity, the controller maximizes thetime-averaged network throughput by enforcing a coarse correlated equilibrium(CCE) and incentivizing base stations (BSs) to locally optimize their decisionsto ensure mobile users' (MUs) quality-of-service (QoS) requirements. Bymarrying tools from Lyapunov stochastic optimization and game theory, wepropose a two-timescale approach where the controller gives recommendations,i.e., sub-carriers with low interference, in a long-timescale whereas BSsschedule their own MUs and allocate the available resources in every time slot.Numerical results show considerable throughput enhancements and delayreductions over a non-SDN network baseline.

Fronthaul-Aware Software-Defined Joint Resource Allocation and User Scheduling for 5G Networks