scholarly journals Comparison between Scheduling Techniques in Long Term Evolution

2013 ◽  
Vol 14 (1) ◽  
Author(s):  
M. H. Habaebi ◽  
J. Chebil ◽  
A. G. Al-Sakkaf ◽  
T. H. Dahawi
Keyword(s):  
High Speed ◽  
Scheduling Algorithms ◽  
Long Term Evolution ◽  
Round Robin ◽  
Heterogeneous Traffic ◽  
System Level ◽  
Proportional Fair ◽  
System Level Simulation ◽  
Term Evolution

Long-Term Evolution (LTE) is a recently evolving technology characterized by very high speed data rate that allows users to access internet through their mobile as well as through other electronic devices.  Such technology is intended to support variety of IP-based heterogeneous traffic types. Traffic scheduling plays an important role in LTE technology by assigning the shared resources among users in the most efficient manner. This paper discusses the performance of three types of scheduling algorithms namely: Round Robin, best Channel Quality Indicator (CQI) and Proportional Fair (PF) schedulers representing the extreme cases in scheduling. The scheduling algorithms performances on the downlink were measured in terms of throughput and block error rate using a MATLAB-based system level simulation. Results indicate that the best CQI algorithm outperforms other algorithms in terms of throughput levels but on the expense of fairness to other users suffering from bad channel conditions. ABSTRAK: Teknologi baru Evolusi Jangka Panjang (LTE) sentiasa berubah dan ia bercirikan kelajuan kadar data sangat tinggi yang membolehkan pengguna mengakses internet melalui telefon bimbit dan peranti elektronik lain. Teknologi seperti ini bertujuan menyokong pelbagai jenis trafik heterogen berasaskan IP. Penjadualan trafik memainkan peranan penting dalam teknologi LTE bagi mengagihkan sumber perkongsian secara paling berkesan di kalangan pengguna. Kertas ini membincangkan prestasi tiga jenis algoritma penjadualan iaitu: pusingan Robin, penunjuk kualiti saluran (CQI) terbaik dan  penjadualan berkadar adil (PF) yang merupakan kes ekstrem dalam penjadualan. Prestasi penjadualan Algoritma di pautan turun diukur dari segi daya pemprosesan dan kadar ralat blok melalui simulasi  sistem menggunakan MATLAB. Hasil kajian menunjukkan algoritma CQI adalah yang terbaik berbanding hasil algoritma lain dari segi tahap daya pemprosesan tetapi algoritma ini menyebabkan pengguna lain mengalami keadaan saluran buruk.KEYWORDS: LTE; round robin; best CQI; proportional fair; scheduling; resource blocks

scholarly journals Comparative Analysis of Scheduling Algorithms Performance in a Long Term Evolution Network

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Bamidele Moses Kuboye
Keyword(s):  
Comparative Analysis ◽  
Packet Delay ◽  
Scheduling Algorithms ◽  
Long Term Evolution ◽  
Proportional Fair ◽  
Term Evolution ◽  
The Face ◽  
Resource Allocation Schemes ◽  
Long Term Evolution Network

The advancement in cellular communications has enhanced the special attention given to the study of resource allocation schemes. This study is to enhance communications to attain efficiency and thereby offers fairness to all users in the face of congestion experienced anytime a new product is rolled out. The comparative analysis was done on the performance of Enhanced Proportional Fair, Qos-Aware Proportional Fair and Logarithmic rule scheduling algorithms in Long Term Evolution in this work. These algorithms were simulated using LTE system toolbox in MATLAB and their performances were compared using Throughput, Packet delay and Packet Loss Ratio. The results showed Qos-Aware Proportional Fair has a better performance in all the metrics used for the evaluation.

PERFORMANCE ANALYSIS OF THE ENERGY CONSUMPTION OF THE SCHEDULING ALGORITHMS IN LONG TERM EVOLUTION LTE (LONG TERM EVOLUTION) NETWORKS

2016 ◽  
Vol 78 (10-4) ◽  
Author(s):  
Nurulanis Mohd Yusoff ◽  
Darmawaty Mohd Ali ◽  
Ku Siti Syahidah Ku Mohd Noh
Keyword(s):  
Global Warming ◽  
Energy Consumption ◽  
Communication Systems ◽  
Scheduling Algorithms ◽  
Long Term Evolution ◽  
Proportional Fair ◽  
Downlink Transmission ◽  
Term Evolution ◽  
The Impact

Energy efficiency has become an important feature in communication systems due to the problem of global warming and lack of energy resources. The impact on global warming caused by wireless communication industries has been gradually increasing, so it is obvious that developing the green communication is significant. In particular, energy consumption in the base stations and downlink transmission are the major areas where significant conservation can be achieved. Thus, the objective of this study is to investigate the performance of the packet scheduling algorithms in the downlink transmission and the energy consumption for video and Voice over IP (VoIP) applications in Long Term Evolution (LTE) systems. In this work, four different scheduling algorithms were analysed namely the Channel and Quality of Service Aware Proportional Fair (CQA_PF), CQA Frequency Fading (CQA_Ff), Priority Set Scheduler Proportional Fair (PSS_PF), and PSS Carrier Over Interference to Average (PSS_CoItA) based on the performance metrics of throughput, delay, energy consumption ratio (ECR) and fairness. The results showed that the CQA algorithm for both methods (CQA_PF and CQA_Ff) outperformed the other algorithms since it has the highest throughput with an increase of up to 25%. Meanwhile, for delay and ECR, the CQA scheduler was the lowest of up to 20% as compared to the PSS scheduler. Thus, it can be concluded that CQA is the most energy efficient algorithm to schedule the video and VoIP applications.

scholarly journals Vehicular Networks Performance Evaluation Based on Downlink Scheduling Algorithms for High-Speed Long Term Evolution – Vehicle

2021 ◽  
Vol 15 (21) ◽  
pp. 52
Author(s):  
Hussain Mahdi ◽  
Baidaa Al-Bander ◽  
Mohammed Hasan Alwan ◽  
Mohammed Salah Abood ◽  
Mustafa Maad Hamdi
Keyword(s):  
Spectrum Sharing ◽  
High Speed ◽  
Data Exchange ◽  
Scheduling Algorithms ◽  
Long Term Evolution ◽  
User Scheduling ◽  
Time Data ◽  
Throughput Performance ◽  
Term Evolution

<p class="Abstract"><span lang="EN-US">Moving is the key to modern life. Most things are in moving such as vehicles and user mobiles, so the need for high-speed wireless networks to serve the high demand of the wireless application becomes essential for any wireless network design. The use of web browsing, online gaming, and on-time data exchange like video calls as an example means that users need a high data rate and fewer error communication links. To satisfy this, increasing the bandwidth available for each network will enhance the throughput of the communication, but the bandwidth available is a limited resource which means that thinking about techniques to be used to increase the throughput of the network is very important. One of the techniques used is the spectrum sharing between the available networks, but the problem here is when there is no available channel to connect with. This encourages researchers to think about using scheduling as a technique to serve the high capacity on the network. Studying scheduling techniques depends on the Quality-of-Service (QoS) of the network, so the throughput performance is the metric of this paper. In this paper, an improved Best-CQI scheduling algorithm is proposed to enhance the throughput of the network. The proposed algorithm was compared with three </span><span lang="MS">user scheduling algorithms to evaluate the throughput performance which are Round Robin (RR), Proportional Fair (PF), and Best-CQI algorithms. The study is performed under Line-of-Sight (LoS) link at carrier frequency 2.6 GHz to satisfy the Vehicular Long Term Evolution (LTE-V) with the high-speed scenario. The simulation results show that the proposed algorithm outperforms the throughput performance of the other algorithms.</span></p>

scholarly journals COMPARATIVE ANALYSIS OF THE PERFORMANCE OF RESOURCE ALLOCATION ALGORITHMS IN LONG TERM EVOLUTION NETWORKS

2016 ◽  
Vol 36 (1) ◽  
pp. 163-171
Author(s):  
UN Nwawelu ◽  
CI Ani ◽  
MA Ahaneku
Keyword(s):  
Resource Allocation ◽  
Real Time ◽  
Long Term Evolution ◽  
Proportional Fair ◽  
Term Evolution ◽  
Allocation Algorithms ◽  
Resource Allocation Schemes ◽  
Radio Resource Scheduling ◽  
Good Number

The growth in the good number of real-time and non-real-time applications has sparked a renewed interest in exploring resource allocation schemes that can be efficient and fair to all the applications in overloaded scenarios. In this paper, the performance of six scheduling algorithms for Long Term Evolution (LTE) downlink networks were analyzed and compared. These algorithms are Proportional Fair (PF), Exponential/Proportional Fair (EXP/PF), Maximum Largest Weighted Delay First (MLWDF), Frame Level Scheduler (FLS), Exponential (EXP) rule and Logarithmic (LOG) rule.  The performances of these algorithms were evaluated using an open source simulator (LTE simulator) and compared based on network parameters which include: throughput, delay, Packet Loss Ratio (PLR), and fairness. This work aims at giving insight on the gains made on radio resource scheduling for LTE network and to x-ray the issues that require improvement in order to provide better performance to the users. The results of this work show that FLS algorithm outperforms other algorithms in terms of delay, PLR, throughput, and fairness for VoIP and video flow. It was also observed that for Best Effort (BE) flows, FLS outperforms other algorithms in terms of delay and PLR but performed least in terms of throughput and fairness. http://dx.doi.org/10.4314/njt.v36i1.21

Long term evolution in high speed railway environments: Feasibility and challenges

2013 ◽  
Vol 18 (2) ◽  
pp. 237-253 ◽  
Author(s):  
Jaime Calle-Sanchez ◽  
Mariano Molina-Garcia ◽  
Jose I. Alonso ◽  
Alfonso Fernandez-Duran
Keyword(s):  
High Speed ◽  
Long Term Evolution ◽  
High Speed Railway ◽  
Term Evolution

scholarly journals Analysis of handover decision making in downlink Long Term Evolution networks

2015 ◽  
Author(s):  
◽  
Israel Oludayo Elujide
Keyword(s):  
Spectral Efficiency ◽  
System Performance ◽  
Long Term Evolution ◽  
Physical Layer ◽  
System Level ◽  
Handover Decision ◽  
Local Averaging ◽  
Term Evolution ◽  
Filtering Technique

This dissertation reports on handover in downlink Long Term Evolution (LTE) networks. The LTE is seen as the technology that will bring about Fourth Generation (4G) mobile broadband experience. The necessity to maintain quality of service for delay sensitive data services and applications used by mobile users makes mobility and handover between base stations in the downlink LTE very critical. Unfortunately, several handover schemes in LTE are based on Reference Symbols Received Power (RSRP) which include measurement error due to limited symbols in downlink packets. However, prompt and precise handover decision cannot be based on inaccurate measurement. Therefore, the downlink LTE intra-system handover is studied with focus on user measurement report. The study centers on preparation stage of the LTE handover procedure. Two different types of physical layer filtering technique namely linear averaging and local averaging are focused upon among others investigated. The performance of LTE conventional physical layer filtering technique, linear filtering, is compared with an alternative technique called local averaging. The output of each physical layer filtering is then used for LTE standardized radio resource layer filtering (otherwise called L3 filtering). The analysis of results from handover decision is based on simulations performed in an LTE system-level simulator. The performance metrics for the results are evaluated in terms of overall system and mobility-related performance. The system performance is based on spectral efficiency and throughput while mobility-related performance is based on handover failure. The performance comparison of the results shows that local averaging technique provides improved system performance of about 51.2 % for spectral efficiency and 42.8% cell-edge throughput for high speed users. Local averaging also produces a reduction of about 26.95% in average number of handover failure when L 3 filtering is applied for low speed mobile terminal. This result confirms that both averaging techniques are suitable for LTE network. Moreover, in the case of high mobility local averaging tends to be better than linear averaging.

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