A novel scheduling algorithm based class-service using game theory for LTE network

Long Term Evolution (LTE) network is a promising wireless technology which provides mobile users with high data rate and low latency. LTE has been developed by the 3rd Generation Partnership Project (3GPP) to improve the end to end system delay and support higher Quality of Services (QoS). However, 3GPP has not defined a firm provision to handle the scheduling process, so that scheduling becomes an open issue for researchers. Instead, they defined nine classes with their corresponding Quality of Services (QoS) requirements. In this paper, a novel scheduling algorithm is proposed based on class service using cooperative game theory technique. The available resources are fairly distributed among classes as proportion which results in higher fairness level among classes. In the second level, the users with tightest delay requirements are prioritized. The proposed algorithm is compared with Proportional Fairness (PF) and Exponential (EXP) rule algorithms in terms of throughput, delay and fairness index. The proposed model outperforms PF and EXP schemes in all comparative parameters.