A Fuzzy Logic Based Scheduling Approach to Improve Fairness in Opportunistic Wireless Networks

In the design of wireless scheduling policies, the fairness criterion plays an important role in upgrading the performance of network. This paper concentrates on how the channel aware opportunistic scheduler can improve both throughput and fairness in cellular wireless networks. In order to improve the fairness, we propose an adaptive fair scheduling algorithm by using fuzzy logic model. Proposed scheduler operates on Time Division Multiple Access (TDMA) fashion and calculates the priority index of each user according to channel quality fed back and fairness of channel assignment. We evaluate its performance via statistical simulations. The obtained results show that our strategy can improve the fairness but at the expense of slight throughput loss compared to well-known opportunistic scheduling methods.