Abstract

Real time applications with strict QoS like delay sensitive applications require an advanced technology to adopt them. This is where Long Term Evolution-Advanced (LTE-A) fulfills this requirement. With this ever evolving technology the need for improvements is required. Packet scheduling is one of the important key features of LTE-A, where it dictates user selection and transmission of those user’s packets based on the priority of the users to reach the receiver correctly. Packet scheduling is one mean to achieve those QoS requirements that real-time applications require. Such algorithms are HARQ Aware Scheduling Algorithm (HAS), Retransmission Aware Proportional Fair Algorithm (RAPF), Chase Combining Based Max C/I Scheduling and Maximum- Largest WeightedDealy First algorithm (M-LWDF). In this paper, M-LWDF is one of the best algorithms in LTE-A which was chosen for further investigated to support QoS in high mobility environment. Packet Loss Ratio (PLR), and Mean User Throughput performance measures were used to validate the performance of M-LWDF algorithm against other algorithms using similar mobile environment. Simulation results indicate the capability of M-LWDF algorithm within the threshold of the performance measures against other benchmarks where it has demonstrated more efficiency to support and improve the performance of real-time multimedia traffic.

Highlights

  • Today, the field of Wireless communications play a vital role in shaping our everyday lives

  • Packet Loss Ratio (PLR) Figure 3 shows the PLR of the proposed algorithm (PSA3), it can be seen that while the system at a small user number starting for zero the PLR is almost zero it keeps on being almost zero PLR till it reaches 20 which shows that the algorithm works without any discarded packets as long the system doesn’t have more than 20 users

  • As the channel ecomes congested, PLR starts increasing exponentially till it breaks the threshold (10-3) after 22 users, this means that the system will keep on working in ideal PLR conditions as long as the number of users are maintained below n

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Summary

Introduction

The field of Wireless communications play a vital role in shaping our everyday lives. LTE-A aimed to meet the demands of higher data rate (i.e. 3/1.5 Gbs for downlink and uplink respectively) within the quality of service (QoS) required by the International Telecommunication Union Radio communication (ITU-R) with more coverage as compared to LTE. This is achieved through the usage of improved packet scheduling algorithms, such as the Carrier Aggregation (CA) technique, the enhanced usage of multi-antenna techniques and support for relay nodes [1].

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