Abstract
Growing of time-sensitive applications such as streaming multimedia, voice over IP and online gaming required strongly support from mobile communication technology. So, the persistent need for wireless broadband technologies such as LTE-A is essential. LTE-A can achieve QoS in an efficient manner by using a reliable packet scheduling algorithm. It also supports good cell coverage by using heterogeneous capability. In this paper, modifications of proportional fair (PF) algorithm are proposed with different methods to compute the average throughput, which is the main and important parameter in the PF cost function. These methods are geometric mean, root mean square and arithmetic mean. Vienna simulator is used to study the performance of the proposed algorithms. A comparison between PF modifications and the most famous algorithms (the original PF and Best CQI algorithms) with various UE velocities is introduced. Average UE throughput, spectral efficiency, energy per bit, cell throughput and fairness are used as performance indicators. The results expose that QPF has best improved values for spectral efficiency, energy per bit and fairness by 8.4%, 14%, and 9.3%, respectively than original PF. However, Best CQI has a better value of average UE and cell throughput than all algorithms of 2% and 1.8% in low and medium UE velocity, respectively, but the best value of all types of throughput at high speed is gained by QPF. QPF and GMPF has the same performance in fairness with all UEs speeds.
Highlights
Increasing in mobile applications needs special wireless communication technology which should have special features such as quality of services (QoS) support and high data rate
proportional fair (PF) modifications performance evaluation is presented for Heterogeneous Networks (HetNets) in Long term evolution (LTE)-A and a scheduling algorithm is proposed by modifying PF cost function to calculate the average throughput using the root mean square (RMS) method and it is named: Quadratic Proportional Fair (QPF)
The performance evaluation of QPF is introduced by comparing its performance with the most used algorithms in LTE advanced (LTE-A) networks: the original PF, Best Channel Quality Index (CQI), PF with arithmetic mean (AMPF) and PF with geometric mean (GMPF) with the impact of user velocity
Summary
Increasing in mobile applications needs special wireless communication technology which should have special features such as quality of services (QoS) support and high data rate. The most important phase in QoS in LTE-A is the packet scheduling which allocates sub-carriers resources for User Equipment (UEs) in each TTI in a manner that maximizes the overall network performance [2]. The results illustrate that the throughput and packet loss ratio of the proposal has better performance.In this paper, modifications on PF are developed, by using different methods to calculate the average throughput in its cost function. These methods are the root mean square, arithmetic mean, and geometric mean which were used in LTE-A homogenous networks in the literature [9, 10, 11].
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Interactive Mobile Technologies (iJIM)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
