Simulating LTE Cellular Systems: An Open-Source Framework

Piro, Giuseppe; Grieco, Luigi Alfredo; Boggia, Gennaro; Capozzi, Francesco; Camarda, P.

doi:10.1109/tvt.2010.2091660

Cited by 595 publications

(463 citation statements)

References 14 publications

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“…MP starts upon reception of the "RELEASE RESOURCE" message, whereby the source eNB will trigger a "cancel" procedure toward each of the nonselected prepared eNBs. A system-level LTE-Sim simulation [32] has been used for the simulation work.…”

Section: Resultsmentioning

confidence: 99%

Reduction of Outage Probability Due to Handover by Mitigating Inter-cell Interference in Long-Term Evolution Networks

Hussein

Ali

Rasid

et al. 2014

ETRI J

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The burgeoning growth of real-time applications, such as interactive video and VoIP, places a heavy demand for a high data rate and guarantee of QoS from a network. This is being addressed by fourth generation networks such as Long-Term Evolution (LTE). But, the mobility of user equipment that needs to be handed over to a new evolved node base-station (eNB) while maintaining connectivity with high data rates poses a significant challenge that needs to be addressed. Handover (HO) normally takes place at cell borders, which normally suffers high interference. This inter-cell interference (ICI) can affect HO procedures, as well as reduce throughput. In this paper, soft frequency reuse (SFR) and multiple preparations (MP), so-called SFRAMP, are proposed to provide a seamless and fast handover with high throughput by keeping the ICI low. Simulation results using LTE-Sim show that the outage probability and delay are reduced by 24.4% and 11.9%, respectively, over the hard handover method -quite a significant result.Keywords: LTE, outage probability, multiple preparation, soft frequency reuse, radio resource control, inter-cell interference. Manuscript received Sept. 24, 2013; revised Nov. 18, 2013; accepted Nov. 21, 2013 I. IntroductionA fast and seamless handover poses twin challenges for LTE networks to address, especially at high data rates. Hard handover (HHO), where a connection with a previous evolved node base-station (eNB) is severed before being handed over to the next eNB, is only to be considered in LTE networks using handover parameters, such as Layer 3 filtering (L-3), handover margin (HOM), and Time-to-Trigger (TTT) [1]- [2]. HHO suffers from some drawbacks, such as high outage probability, long delays, and unreliable break-before-make procedures [3]. In addition, it is difficult to maintain QoS requirements due to the delay incurred in the HHO during the eNB migration process, which is the process of moving from the serving eNB to the target eNB. Many studies have been conducted to improve HHO, and this issue has been reviewed well in [4]. There are others who have taken a different approach; that is, taking advantage of both soft handover (SHO) and HHO, as seen in [5]-[7]. In [5], the authors proposed a fractional SHO scheme based on carrier aggregation. In this scheme, it combines SHO and HHO depending on traffic. For example, for VoIP it performs an SHO, and for non-VoIP it performs an HHO, both of which are performed with a frequency reuse factor (FRF) of one. The authors in [6] and [7] used macroscopic diversity in an SHO. This resulted in a much better reduction of HO outage probability than that of [5], although none of them employed any type of ICI mitigation mechanism and where all studies used an FRF of one. A more numerical analysis has been presented in [7]. In [8], the authors proposed a bandwidth reservation based on a mobility

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Section: Resultsmentioning

confidence: 99%

Reduction of Outage Probability Due to Handover by Mitigating Inter-cell Interference in Long-Term Evolution Networks

Hussein

Ali

Rasid

et al. 2014

ETRI J

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“…Beragamnya perkembangan layanan telekomunikasi saat ini menjadi satu alasan dikembangkannya teknologi Long Term Evolution (LTE) oleh badan 3rd Generation Partnership Project (3GPP) [8]. Teknologi ini juga merupakan evolusi teknologi GSM/EDGE dan UMTS/HsxPA yang dikembangkan oleh badan 3GPP.…”

Section: Pendahuluanunclassified

“…Skenario ini diuji pada 50 user yang bergerak dengan kecepatan 3, 30, dan 120 km/jam sesuai dengan standar pedestrian dan vehicle yang dikeluarkan oleh ITU-T [8]. Pada skenario ini, simulasi dilakukan selama 100 detik, dimana user bergerak menggunakan tipe mobilitas random direction, dimana handover user tidak didefinisikan sehingga jumlah handover yang terjadi pada simulasi disesuaikan dengan pergerakan user sesuai dengan kecepatannya masing-masing.…”

Section: G Skenario 2 Perubahan Kecepatan Userunclassified

“…Pada bagian ini disajikan analisis hasil simulasi scenario perubahan kecepatan user menggunakan model Jackes Channel sesuai standar kecepatan pedestrian dan vehicle yang di standarkan oleh ITU-T [8], dimana simulasi dilakukan pada 3, 30, dan 120 km/jam dengan user sebesar 50 dan tersebar di 7 sel dengan radius masing-masing sel sebesar 1 km.…”

Section: B Analisis Skenario Perubahan Kecepatan Userunclassified

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Analisa Performansi Algoritma Penjadwalan Proportional Fairness Dan Log Rule Dengan Skenario Multicell Pada Sistem 3GPP LTE

Arfianto

Negara

Irawati

2016

INFOTEL

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Abstrak -Teknologi Long Term Evolution (LTE) dikembangkan dengan tujuan untuk mengurangi biaya yang dikeluarkan oleh pengguna maupun operator jasa telekomunikasi, memperluas daerah jangkauan, menambah kapasitas sistem, dan mengurangi delay. Dengan spesifikasi yang tinggi, LTE diharapkan mampu memberikan kemudahan pelanggan dalam mengakses layanan Voice over IP, Streaming, dan Video Conference. LTE diharapkan mampu memberikan layanan dengan besar throughput yang tinggi dan delay yang rendah. Padahal tidak semua user membutuhkan throughput yang sama besar namun yang dibutuhkan adalah kesesuaian pengendalian delay dan fairness index untuk setiap user dengan tetap memperhatikan batasan throughput. Untuk mendapatkan kinerja dan hasil yang maksimal tersebut pada LTE diperlukan sistem algoritma penjadwalan yang baik. Pada penelitian ini, dianalisis performansi LTE dengan parameter Delay, Packet loss, Throughput, dan Fairness Index menggunakan algoritma penjadwalan Proportional Fairness dan Log Rule pada LTE-Simulator dengan skenario menggunakan trafik VoIP, Video dan Best Effort. Hasil penelitian ini menunjukan bahwa penjadwalan algoritma Proportional Fairness lebih baik dalam menangani layanan VoIP, sedangkan algoritma Log Rule lebih baik dalam menangani layanan Video. Hal ini menandakan kedua algoritma ini sangat cocok digunakan untuk jaringan LTE dengan kondisi trafik layanan real-time, tetapi tidak untuk layanan non real-time seperti layanan Best Effort.Kata kunci -LTE, Algoritma Penjadwalan, Proportional Fairness, Log Rule Abstract -Long Term Evolution technology (LTE) was developed in order to reduce the costs incurred by the users and telecommunication operators, extend the coverage area, increase system capacity, and reduce the delay. With a high specification, LTE is expected to provide convenience for customers to access the services of Voice over IP, Streaming, and Video Conference. LTE also expected to provide great service with a high throughput and low delay. Though not all users require the same throughput, but what is needed is control the delay and fairness index for each user with regard to the throughput limitations. To get the maximum performance and results on LTE, it takes good scheduling algorithm system. In this study, analyze the performance of LTE with Delay parameter, Packet loss, Throughput and Fairness Index using Proportional Fairness scheduling algorithm and Log Rule on LTE-Simulator using VoIP traffic, Video, and Best Effort. Also in this study indicates that the Proportional Fairness scheduling algorithms better at managing VoIP service, whereas Log Rule Algorithm better at managing video services. This indicates that both algorithms are well suited for LTE networks with traffic conditions of real-time services, but not for non real-time services such as Best Effort. Berikut ini prosedur dari penjadwalan paket arah downlink, dijabarkan sebagai berikut.1. eNB membuat suatu daftar yang berisi paket siap untuk dikirimkan. Setiap paket yang berada pada daftar tersebut telah ditambahkan info...

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“…LTE-Sim is an open source framework to simulate LTE networks mainly developed by G. Piro and F.Capozzi at "Politecnico di Bari" [10]. During the simulation time, UEs always connect to the network and keep calling.…”

Section: Performance Evaluationmentioning

confidence: 99%

Hysteresis Margin and Load Balancing for Handover in Heterogeneous Network

Ray¹,

Tang²

2015

IJFCC

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Abstract-Long term evolution (LTE) heterogeneous network can represent improvement of cell coverage and network capacity by adopting advanced physical layer techniques. In heterogeneous network, one of the major challenges is the handover decision between different eNBs. The utilization of the picocells results to use more network resources and handover procedure. In this paper, we investigate the hysteresis margin and load balancing problem in a 3GPP LTE heterogeneous network. Firstly, we consider A3 event, Hysteresis Margin (HM) and Cell Individual Offset (CIO) objectives are not fixed for every cells. Then we analyze the complexity of the problem and propose a practical algorithm which calculate adaptive hysteresis margin and load balancing in heterogeneous network. The results show that our algorithm can lead to significantly better performances, such as redundant handovers reduction and improvement of the network performance.Index Terms-LTE heterogeneous network, hysteresis margin, cell individual offset, load balancing.

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Simulating LTE Cellular Systems: An Open-Source Framework

Cited by 595 publications

References 14 publications

Reduction of Outage Probability Due to Handover by Mitigating Inter-cell Interference in Long-Term Evolution Networks

Reduction of Outage Probability Due to Handover by Mitigating Inter-cell Interference in Long-Term Evolution Networks

Analisa Performansi Algoritma Penjadwalan Proportional Fairness Dan Log Rule Dengan Skenario Multicell Pada Sistem 3GPP LTE

Hysteresis Margin and Load Balancing for Handover in Heterogeneous Network

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