Fairness-Aware Scheduling for Millimeter Wave Backhaul Networks.

Millimeter wave (mmWave) backhaul networks are emerging as a promising candidate for the 5G mobile network. By exploiting highly directional antennas, the concurrent transmission technology which can greatly improve the network throughput is enabled in the mmWave backhaul communication. However, the existing concurrent transmission scheduling scheme ignores fairness, leading to the situation that some links in good state are always dispatched while some in poor state suffering starvation. In this paper we propose a Fairness-aware Global Scheduling (FAGS) algorithm in which a utility function and a scheduling threshold are designed to maximize the system throughput with the fairness requirements satisfied. And to quantify the impact of the scheduling algorithm on fairness a Jain Index is proposed. Simulations conducted in the 60 GHz band demonstrate the superior performance of our algorithm compared with other existing schemes.