Aim: The 5G LTE-Advanced (LTE-A) intended to provide increased peak data rates
for the mobile users with the use of Carrier Aggregation (CA) technology. Due to need of uninterrupted
bi-directional communication between the eNodeB and User Equipment (UE) in LTEA,
Joint Scheduling Algorithm is considered as central research topic.
Objective: A modified joint Uplink/ Downlink (UL/DL) Scheduling algorithm to meet on demands
service request from the UEs is proposed in this paper.
Methods: CA is used for calculate the weight factors for the bandwidth allocation among the mobile
users based on the QoS Class Identifier (QCI). However due the huge amount of data flow in
the indoor coverage yield introduction of the small cell called femtocells. Femtocells are randomly
deployed in macro cell area in order to improve indoor coverage as well capacity enhancement.
Results: Mixed types of traffic are considered ranging from real time to non real time flows and
quality of service is evaluated in term of throughput, packet loss ratio, fairness index and spectral
efficiency. The proposed modified joint user scheduling algorithm results better in delay among
the end users due the reduction in the traffic load of the macro cell base station.
Conclusion: Simulation results shows that, the proposed methodology suits best for the small
scale network architecture with increased spectral efficiency and throughput among the UEs.