Abstract
Abstract Long-Term Evolution (LTE) was implemented to fulfill and satisfy users’ needs as well as their demands for an improvised, fast and efficient Quality of service (QoS). A minimal aggregate of waiting time in return would give users a better Quality of experience (QoE). Real-time service packet scheduling is an important process in allocating resources to users. An efficient packet scheduling scheme will be able to cater fairly and efficiently to its users in the LTE network. Hence, studies are performed focusing on real-time traffic which includes video as well as Voice over Internet Protocol (VoIP) transmissions. In this work, the existing exponential rule (EXP rule) is utilized to benchmark our proposed packet scheduling techniques so that we are able to further evaluate the scheduling performance. In response to the increasing likelihood of losing packets in the EXP rule’s algorithm and maximizing the throughput rate, several schemes have been experimented with. The proposed schemes include 1) simplified EXP rule (sEXP Rule), 2) modified EXP rule (mEXP Rule), 3) EXP rule with maximum throughput (MT) (EXP_MT Rule), and 4) enhanced EXP rule with MT (E2M). By adding MT as a weight to the EXP rule, the throughput is maximized, thus providing higher throughput rates for real-time and non-real-time traffic. The simulation results show that the sEXP rule has a better performance in throughput, packet loss rate (PLR), and spectral efficiency for video traffic. Aside from this, our proposed E2M rule performs better than the benchmark EXP rule and outperforms the other proposed schemes, as well. It is observed that the E2M rule has better QoS support for real-time transmission in terms of delay, packet loss, throughput and spectral efficiency, within the LTE network. Hence, our proposed E2M rule is an enhancement of the benchmark EXP rule, which is commonly used in LTE packet scheduling.
Highlights
The future fourth generation wireless network, which is known as the Long-Term Evolution (LTE) network, supports devices which utilize high-speed data, and at the same time it targets to provide users with better wireless network experience while maintaining minimal complexity [1]
Apart from this, this study addresses the issue of heavy traffic, including real-time services, which require less delay and packet loss rate (PLR) in order to receive the information in good quality on time
One of the several schemes we have proposed outperforms the existing benchmark EXP rule, i.e., the enhanced EXP rule with Maximum throughput (MT) (E2M) rule, as it contributes to a much lower PLR, and delay while providing an increment in the system’s throughput value
Summary
The future fourth generation wireless network, which is known as the Long-Term Evolution (LTE) network, supports devices which utilize high-speed data, and at the same time it targets to provide users with better wireless network experience while maintaining minimal complexity [1]. Transmissions are categorized into real-time and non-real-time traffic. Real-time traffic includes video and Voice over Internet Protocol (VoIP) traffic, whereas non-real-time traffic consists of best-effort traffic. People are looking forward to more advanced devices that can meet their desires and needs. The evolution of managing radio resource distribution is necessary in various scenarios in the LTE environment [9]. A network engineer’s tasks tend to be more challenging in terms of managing networks resources [7]
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