Simulation of Packet Scheduling in Cognitive Long Term Evolution-Advanced

Mohamad ‘Ismat Hafizi Mansor (International Islamic University Malaysia)
Huda Adibah Mohd Ramli (International Islamic University Malaysia)
Ani Liza Asnawi (International Islamic University Malaysia)
Farah Nadia Mohd Isa (International Islamic University Malaysia)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 8, No 2: November 2017

Real Time (RT) and Non-Real Time (NRT) multimedia content demand on mobile devices are increasing at a high pace. Long Term Evolution-Advanced (LTE-A) is expected to cater these demands. However, LTE-A operates at fixed spectrum which leads to spectrum scarcity. Cognitive Radio (CR) is one the promising technologies that is used to overcome spectrum scarcity and implementation of CR into LTE-A will improve spectrum availability and efficiency of the network. Furthermore, with addition of Packet Scheduling (PS) in the cognitive LTE-A, QoS requirement of the mobile users can be guaranteed. However, the study on the stated is very limited. Thus, this paper models, simulates and evaluates performance of five well-known PS algorithms for supporting the RT and NRT multimedia contents. The simulation results show that Maximum- Largest Weighted Delay First (M-LWDF) is the best candidate for implementation in the cognitive LTE-A.