Hierarchical taylor-made scheduling for data traffic with prioritization over LTE networks

Long Term Evolution (LTE) is the standard developed by the 3rd Generation Partnership Project (3GPP) to address the ITU's 4G requirements. For the first time, we have technology convergence in a generation of cellular communication systems. LTE promises data transmission of about 100 Mbps and its advanced version (LTE-A) goes even further with more than 1 Gbps in the downlink channel. Such very high data rates will only be achievable with appropriate network resource optimizations. Accordingly, this paper presents a flexible and adaptive scheme of multi-user scheduling considering data traffic prioritization in the LTE downlink channel. The proposed scheduling algorithm uses Proportional Fairness and Analytic Hierarchy Process (AHP) that allows to aggregate performance criteria and to improve resource allocation for users based on the general traffic.