Fuzzy-Based Optimized QoS-Constrained Resource Allocation in a Heterogeneous Wireless Network

A new joint scheduling and link adaptation scheme is designed using fuzzy logic. A unified scheduler is designed which provides different throughput requirements and optimally allocates the shared media to the users based on their importance. Adaptive modulation, coding, and transmit power is used provisioning an average power constraint depending on each user's power supply. Various bit error rate and QoS-delay constraints are provided for all links. Numerical evaluations show that the proposed fuzzy-based scheme has the performance quite close to the analytical approach, however, with substantially lower complexity.