QEEA algorithm for throughput improvement in the LTE networks

• Published in: Proceedings - 7th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2017
• Main Author: Yusoff N.M.; Ali D.M.; Idris A.; Ismail S.; Noh K.S.S.K.M.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2017
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050364169&doi=10.1109%2fICCSCE.2017.8284379&partnerID=40&md5=6c0b6e444b025c094e3bbed1eb422996

The growing demands for wireless communication services pose new challenges in the coming generation of cellular networks design. In Third Generation Partnership Project (3GPP) Long Term Evolution (LTE) networks, ever-higher data rate and energy efficiency (EE) are required to meet the increasing demands in cellular traffic. High data rates can be achieved, however, it requires a high level of energy consumption, which needs to be controlled especially in this era of green communication trends. Hence, efficient solutions are necessary to optimize EE and at the same time achieve high data rates to meet green LTE requirements. This paper proposed an efficient algorithm, namely, the Quality of Service (QoS) and Energy Efficient Aware (QEEA). The goal of QEEA is to achieve maximum throughput and improve the EE by using low transmitted power (43 dBm), which is the lowest power setting according to the 3GPP LTE specifications. The proposed algorithm is compared against other scheduling algorithms, namely, the Channel and QoS Aware (CQA), Priority Set Scheduler (PSS), Proportional Fair (PF), Maximum Throughput (MT) and Blind Average Throughput (BAT). Besides that, the performance of QEEA is also analyzed when the transmit power is set to 43 dBm, 46 dBm, and 48 dBm. The simulation process was conducted using Network Simulator-3 (NS-3) and the performance of these packet scheduling algorithms was evaluated based on the performance of system throughput. The results showed that the QEEA algorithm outperformed the other algorithms as it could achieve up to 75% of throughput improvement in terms of radius ranging from 200 m to 1000 m and increasing number of users in the cell, which is 167.86% of. Thus, it can be concluded that QEEA algorithm is the best candidate to achieve the highest throughput. © 2017 IEEE.