Abstract
To cope with the increasing demand of multimedia applications, Long Term Evolution Advanced (LTE-A) networks were introduced. Indeed, this promising technology supports a high transmission rate, a wide range of voice (VoIP) as well as video services and data. Moreover, LTE-A guarantees lower latency and higher spectral efficiency compared with Long Term Evolution (LTE). However, it is necessary to efficiently benefit from scarce network resources in order to achieve high performance. Therefore, we propose, in this paper, a new scheduling algorithm for LTE-A uplink systems entitled Adaptive Resource Allocation Process (ARAP) that supports uplink multiuser transmissions. The main contribution of this work is to allocate the Physical Resources Blocks (PRBs) to Real Time (RT) and non-Real Time (NRT) users using various criteria. Our proposed algorithm aims to at providing a fair distribution of PRBs, maximizing the system throughput and reducing queuing delay of the RT packets. Simulation and analysis showed that ARAP has a significant positive impact on delay and throughput performance.