Optimizing User-Level Packet Scheduling Performance through Optimal CQI-Based Resource Allocation in LTE

Abstract

Abstract 
Our study delves into the exploration of Dynamic allocation of resources 
in the downlink of LTE-A networks based on OFDMA. It 
comprehensively investigates user-level packet scheduling performance, 
aiming to optimize the efficiency of resource allocation. To achieve this, 
we employ a Traffic Differentiator stage that effectively separate packet 
queues deriving from attached users into separate service queues 
according to their corresponding service categories. Within each service 
category, users are then prioritized by taking into account their unique 
QoS requirements and the prevailing wireless channel conditions. This 
prioritization is accomplished through the utilization of the innovative 
 SPSSA technique. We propose the PITDSA algorithm in the TD 
Scheduler stage, which diligently allocates the appropriate amount of 
radio resources to all type of services, while optimal distribution of the 
remaining resources to background services with efficiency. In the FD 
scheduler stage, we introduce an optimal CQI selection algorithm that 
optimizes packet scheduling by effectively leveraging FD multi-user 
diversity