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Journal articles on the topic 'LTE networks'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Leung, Cyril, Raymond Kwan, Seppo Hämäläinen, and Wenbo Wang. "LTE/LTE-Advanced Cellular Communication Networks." Journal of Electrical and Computer Engineering 2010 (2010): 1–2. http://dx.doi.org/10.1155/2010/659295.

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2

Khan, Shaikhul Arefin, Md Mokarram Hossain Chowdhury, and Uthso Nandy. "LTE/LTE-A Based Advanced Wireless Networks." Journal of Engineering Research and Reports 25, no. 10 (2023): 195–99. http://dx.doi.org/10.9734/jerr/2023/v25i101012.

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LTE/LTE-A is a wireless broadband standard that provides quick and reliable connectivity for the Internet of Things (IoT) and other connected devices. It is the de facto standard for 4G wireless, offering high-speed communication, extensive network coverage, and low latency. LTE/LTE-A networks are crucial for real-time IoT applications, offering high-speed data transfer, extensive coverage, low latency, and scalability. However, challenges in evaluating LTE/LTE-A-based wireless networks for IoT include compatibility, cost, power consumption, network coverage, and security. Large-scale deployme

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3

Wang, Jin, Zhongqi Zhang, Yongjun Ren, Bin Li, and Jeong-Uk Kim. "Issues toward Networks Architecture Security for LTE and LTE-A Networks." International Journal of Security and Its Applications 8, no. 4 (2014): 17–24. http://dx.doi.org/10.14257/ijsia.2014.8.4.02.

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4

Mohamed, Njikam, S. Nanna, S. Shahrin, and Fairuz Iskandar Othman Mohd. "High speed internet development in Africa using 4G-LTE technology-a review." Bulletin of Electrical Engineering and Informatics 8, no. 2 (2019): 577–85. https://doi.org/10.11591/eei.v8i2.684.

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The African continent is ranked second most populated region and has a huge amount of natural resources to be locally transformed or outsourced overseas. The traditional telecommunications system has helped connect people and enabled them to manage their businesses and trading in Africa for a long-time; many African countries have embarked early in changing their network and technology systems during the first years of the information age. Over a few decades ago, the introduction of new telecommunication methods and techniques have influenced much of African countries" growth via different per

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Pokhomchikova, E. O., and I. M. Daudov. "Handover in LTE networks." Journal of Physics: Conference Series 2032, no. 1 (2021): 012007. http://dx.doi.org/10.1088/1742-6596/2032/1/012007.

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6

Adel, Agamy, and M. Mohamed Ahmed. "Influence of various application types on the performance of LTE mobile networks." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 5 (2020): 5420–29. https://doi.org/10.11591/ijece.v10i5.pp5420-5429.

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Modern mobile internet networks are becoming heavier and denser. Also it is not regularly planned, and becoming more heterogeneous. The explosive growth in the usage of smartphones poses numerous challenges for LTE cellular networks design and implementation. The performance of LTE networks with bursty and self-similar traffic has become a major challenge. Accurate modeling of the data generated by each connected wireless device is important for properly investigating the performance of LTE networks. This paper presents a mathematical model for LTE networks using queuing theory considering the

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7

Yeo, Woon-Young, Sang-Min Lee, Gyung-Ho Hwang, and Jae-Hoon Kim. "Coexistence of 3G Repeaters with LTE Base Stations." Scientific World Journal 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/185372.

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Repeaters have been an attractive solution for mobile operators to upgrade their wireless networks at low cost and to extend network coverage effectively. Since the first LTE commercial deployment in 2009, many mobile operators have launched LTE networks by upgrading their 3G and legacy networks. Because all 3G frequency bands are shared with the frequency bands for LTE deployment and 3G mobile operators have an enormous number of repeaters, reusing 3G repeaters in LTE networks is definitely a practical and cost-efficient solution. However, 3G repeaters usually do not support spatial multiplex

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8

Kasmi, Ouafae, Amine Baina, and Mostafa Bellafkih. "Multi Level Integrity Management in LTE/LTE-A Networks." Advances in Science, Technology and Engineering Systems Journal 2, no. 3 (2017): 658–68. http://dx.doi.org/10.25046/aj020384.

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9

Ben Hcine, Marwane, and Ridha Bouallegue. "On the dimensioning of LTE and LTE-advanced networks." Transactions on Emerging Telecommunications Technologies 28, no. 3 (2015): e2957. http://dx.doi.org/10.1002/ett.2957.

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10

Aqsa, Sayed. "An Overview of Self-Organizing Networks (SON) in Wireless Networks." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 6, no. 3 (2018): 1–9. https://doi.org/10.5281/zenodo.14259416.

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The latest trend in technological aspect in the arena of telecommunicationsis the progression of Long TermEvolution(LTE) and LTE-Advance that assures exceptional performance and a promising market in the wireless network (WN) domain. Tofulfill promises, new features have been appended with every new release (Release 8, Release 9). This paper aims to give an outline of the Self-Organizing Network (SON) function that was proposed in LTE and carried further to LTE-Advance. There are many beneficial factors about SON like Automatic Neighbor Relation (ANR), Automatic updates, Automatic recovery, ad

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11

Shafinaz, Bt Ismail, Bt Mohd Ali Darmawaty, and Ya'acob Norsuzila. "Performance Analysis of Uplink Scheduling Algorithms in LTE Networks." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 2 (2018): 373–79. https://doi.org/10.11591/ijeecs.v9.i2.pp373-379.

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Scheduling is referring to the process of allocating resources to User Equipment based on scheduling algorithms that is located at the LTE base station. Various algorithms have been proposed as the execution of scheduling algorithm, which represents an open issue in Long Term Evolution (LTE) standard. This paper makes an attempt to study and compare the performance of three well-known uplink schedulers namely, Maximum Throughput (MT), First Maximum Expansion (FME), and Round Robin (RR). The evaluation is considered for a single cell with interference for three flows such as Best effort, Video

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12

Agamy, Adel, and Ahmed M. Mohamed. "Influence of various application types on the performance of LTE mobile networks." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 5 (2020): 5420. http://dx.doi.org/10.11591/ijece.v10i5.pp5420-5429.

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Modern mobile internet networks are becoming heavier and denser. Also it is not regularly planned, and becoming more heterogeneous. The explosive growth in the usage of smartphones poses numerous challenges for LTE cellular networks design and implementation. The performance of LTE networks with bursty and self-similar trafﬁc has become a major challenge. Accurate modeling of the data generated by each connected wireless device is important for properly investigating the performance of LTE networks. This paper presents a mathematical model for LTE networks using queuing theory considering the

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13

Doumi, T., M. F. Dolan, S. Tatesh, et al. "LTE for public safety networks." IEEE Communications Magazine 51, no. 2 (2013): 106–12. http://dx.doi.org/10.1109/mcom.2013.6461193.

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14

Kanwal, Kapil, Ghazanfar Ali Safdar, Masood Ur-Rehman, and Xiaodong Yang. "Energy Management in LTE Networks." IEEE Access 5 (2017): 4264–84. http://dx.doi.org/10.1109/access.2017.2688584.

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15

Rajalakshmi, S., N. Deepika, Srivardhini C.S., Vignesh A.C., and Vignesh D.V. "SDN Controller for LTE Networks." International Journal of Computer Applications 133, no. 3 (2016): 31–36. http://dx.doi.org/10.5120/ijca2016907782.

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16

Lal, Preeti, Vidhu Yamini, and V. Noor Mohammed. "Handoff mechanisms in LTE networks." IOP Conference Series: Materials Science and Engineering 263 (November 2017): 052033. http://dx.doi.org/10.1088/1757-899x/263/5/052033.

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17

Mina, Malekzadeh, and Rezaiee Fatemeh. "Impact of Inter-eNodeB Handover Parameters on Performance Optimization of LTE Networks." Indonesian Journal of Electrical Engineering and Computer 9, no. 1 (2018): 212–20. https://doi.org/10.11591/ijeecs.v9.i1.pp212-220.

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Handover, as a resource consuming process, is an important issue in mobile communications which can highly affect the overall performance of the LTE networks. Since the handover process mainly relies on four main entry condition parameters, optimizing these parameters will in turn improve the handover process. In this work, we investigate the effectiveness of the four handover parameters by measuring the resulting downlink throughput and number of the required handovers. We furthermore determine the optimized values of the parameters through implementing different sets of experiments. Finally,

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18

Pavan, K. Venkata, and S. Shanthi. "A Survey on Different Attacks in LTE/LTE-A Networks." Universal Journal of Electrical and Electronic Engineering 7, no. 6 (2020): 315–19. http://dx.doi.org/10.13189/ujeee.2020.070603.

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19

Deruyck, Margot, Wout Joseph, Bart Lannoo, Didier Colle, and Luc Martens. "Designing Energy-Efficient Wireless Access Networks: LTE and LTE-Advanced." IEEE Internet Computing 17, no. 5 (2013): 39–45. http://dx.doi.org/10.1109/mic.2013.6.

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20

Gómez, Gerardo, Quiliano Pérez, Javier Lorca, and Raquel García. "Quality of Service Drivers in LTE and LTE-A Networks." Wireless Personal Communications 75, no. 2 (2013): 1079–97. http://dx.doi.org/10.1007/s11277-013-1409-0.

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21

Shukla, Sidharth, and Vimal Bhatia. "Packet Scheduling Algorithm in LTE/LTE-Advanced-based Cellular Networks." IETE Technical Review 35, no. 6 (2017): 551–61. http://dx.doi.org/10.1080/02564602.2017.1342573.

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22

Kim, Seonho, and Jongpil Jeong. "Reducing of Authentication Signaling Traffic in LTE Networks." KIPS Transactions on Computer and Communication Systems 1, no. 2 (2012): 109–18. http://dx.doi.org/10.3745/ktccs.2012.1.2.109.

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23

N. Sirhan, Najem, and Manel Martinez-Ramon. "QoS-based Packet Scheduling Algorithms for Heterogeneous LTE-Advanced Networks: Concepts and a Literature Survey." International Journal of Wireless & Mobile Networks 14, no. 4 (2022): 1–18. http://dx.doi.org/10.5121/ijwmn.2022.14401.

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The number of LTE (Long-Term Evolution) users and their applications has increased significantly in the last decade, which increased the demand on the mobile network. LTE-Advanced (LTE-A) comes with many features that can support this increasing demand. LTE-A supports Heterogeneous Networks (HetNets) deployment, in which it consists of a mix of macro-cells, remote radio heads, and low power nodes such as Pico-cells, and Femto-cells. Embedding this mix of base-stations in a macro-cellular network allows for achieving significant gains in coverage, throughput and system capacity compared to the

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24

Kim, Yong-Hwan, Youn-Hee Han, Min Kim, et al. "Distributed Mobility Management Scheme in LTE/SAE Networks." Journal of Korean Institute of Communications and Information Sciences 38B, no. 11 (2013): 879–94. http://dx.doi.org/10.7840/kics.2013.38b.11.879.

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25

Ahmad, Ishtiaq, JinYoung Jang, and KyungHi Chang. "QoS Priority-Based Mobile Personal Cell Deployment with Load Balancing for Interference Reduction between Users on Coexisting Public Safety and Railway LTE Networks." Electronics 9, no. 12 (2020): 2136. http://dx.doi.org/10.3390/electronics9122136.

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The Republic of Korea has played a leading role in the development of next-generation long-term evolution (LTE) public safety networks. The LTE-based public safety (PS-LTE) network, the LTE-based high-speed railway (LTE-R) network, and the LTE-based maritime (LTE-M) network use the same 700 MHz frequency band. That results in severe co-channel interference (CCI), so there is a dire need for practical research into resolving the CCI issue. Moreover, unplanned deployment of the mobile personal cell (mPC) generates serious user-association issues owing to its movement, which leads to severe co-ch

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26

Manekiya, Mohammedhusen, Abhinav Kumar, Ashish Yadav, and Massimo Donelli. "A Survey of Resource Allocation Techniques for Cellular Network’s Operation in the Unlicensed Band." Electronics 9, no. 9 (2020): 1464. http://dx.doi.org/10.3390/electronics9091464.

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With an ever increasing demand for data, better and efficient spectrum operation has become crucial in cellular networks. In this paper, we present a detailed survey of various resource allocation schemes that have been considered for the cellular network’s operation in the unlicensed spectrum. The key channel access mechanisms for cellular network’s operation in the unlicensed bands are discussed. The various channel selection techniques are explored and their operation explained. The prime issue of fairness between cellular and Wi-Fi networks is discussed, along with suitable resource alloca

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27

Gómez, Gerardo, Javier Lorca, Raquel García, and Quiliano Pérez. "Towards a QoE-Driven Resource Control in LTE and LTE-A Networks." Journal of Computer Networks and Communications 2013 (2013): 1–15. http://dx.doi.org/10.1155/2013/505910.

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We propose a novel architecture for providing quality of experience (QoE) awareness to mobile operator networks. In particular, we describe a possible architecture for QoE-driven resource control for long-term evolution (LTE) and LTE-advanced networks, including a selection of KPIs to be monitored in different network elements. We also provide a description and numerical results of the QoE evaluation process for different data services as well as potential use cases that would benefit from the rollout of the proposed framework.

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28

Ding, Miao, Zhang, et al. "Integration of LTE 230 and LTE 1800 in Power Wireless Private Networks." Future Internet 11, no. 11 (2019): 221. http://dx.doi.org/10.3390/fi11110221.

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Power wireless private networks (PWPNs) have been highly developed in China in recent years. They provide a basis for the energy Internet of Things, which enables the exchange of energy information between devices. Although the power wireless private network is an imitation of the public cellular network, a number of special challenges remain in power private networks. Due to the lack of general standards for PWPNs at the beginning of deployment, there are now two independent PWPN systems in China: long-term evolution (LTE) 230 and LTE 1800. Each has its own core and access networks with indep

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29

Shukla, Sidharth, and Vimal Bhatia. "Priority Scheduling Algorithm for Traffic in a LTE-based Defence Mesh Network Incorporating Centralised Scheduling Architecture." Defence Science Journal 67, no. 5 (2017): 581. http://dx.doi.org/10.14429/dsj.67.10593.

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<p>Wireless mesh networks (WMN) are the networks of future and can operate on multiple protocols ranging from WiFi, WiMax to long term evolution (LTE). As a recent trend defence networks are incorporating off-the-shelf, state of the art commercial protocols to enhance the capability of their networks. LTE is one such commercially available protocol which is easy to deploy and provide high data rate which can be ideally implemented in WMN for defence networks. To enable these high data rate services LTE-based defence mesh networks (DMN) are the requirement of the day and future. However,

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30

Woo Jwa, Jeong, and Joong Hie Won. "Network Quality Measurements of LTE Drones." International Journal of Engineering & Technology 7, no. 3.33 (2018): 54. http://dx.doi.org/10.14419/ijet.v7i3.33.18523.

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Cellular-connected drones can provide beyond line-of sight control (BVLOS), low latency, real time communication, robust security, and wide range coverage. Cellular-connected drones have several key potential applications in enhanced LTE and 5G networks. The objective of the study is to evaluate field measurement data collected during drone flights in the KT Long-Term Evolution (LTE) networks in Seoul and Jeju, Korea. The multicopter drones are developed with LTE modem and LTE test smart phone for field measurements. The radio network quality between drones and LTE base transceiver stations (B

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31

Jang, Woung, Se Kwon Kim, Joo Hyung Oh, and Chae Tae Im. "Session-Based Detection of Signaling DoS on LTE Mobile Networks." Journal of Advances in Computer Networks 2, no. 3 (2014): 159–62. http://dx.doi.org/10.7763/jacn.2014.v2.103.

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32

Jiban, Jyoti Panda, and Aruna Tripathy Dr. "AI Based Network Slicing In 5G Network." Journal of VLSI Design and its Advancement 5, no. 2 (2022): 1–9. https://doi.org/10.5281/zenodo.6966985.

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<em>5g is the future of mobile communications. Upcoming networks needed high quality standards with reliability and very low latency. The main feature of upgrading into 5g networks is to have very high end user connectivity. Optimizing network slicing can be more helpful to achieving the remarkable performances in 5g networks. Network slicing divides the physical network into several logical networks in order to support the variety of developing applications with higher performance and flexibility needs. Recently data driven decisions are more efficient and useful for different industries, the

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33

Kim, Woojoong, Jeong-Yoon Lee, and Young-Joo Suh. "Adaptive Periodic MLB Algorithm for LTE Femtocell Networks." Journal of Korean Institute of Communications and Information Sciences 38C, no. 9 (2013): 764–74. http://dx.doi.org/10.7840/kics.2013.38c.9.764.

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34

Benaatou, Wafa, Adnane Latif, and Vicent Pla. "Predictive Algorithm for Handover Decisions between LTE and LTE-A Networks." Journal of Telecommunications and the Digital Economy 9, no. 4 (2021): 110–26. http://dx.doi.org/10.18080/jtde.v9n4.370.

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A heterogeneous wireless network needs to maintain seamless mobility and service continuity; for this reason, we have proposed an approach based on the combination of particle swarm optimization (PSO) and an adaptive neuro-fuzzy inference system (ANFIS) to forecast a handover during a movement of a mobile terminal from a serving base station to target base station. Additionally, the handover decision is made by considering several parameters, such as peak data rate, latency, packet loss, and power consumption, to select the best network for handover from an LTE to an LTE-A network. The perform

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35

Ragaleux, Alexandre, Sébastien Baey, and Cédric Gueguen. "Adaptive and Generic Scheduling Scheme for LTE/LTE-A Mobile Networks." Wireless Networks 22, no. 8 (2015): 2753–71. http://dx.doi.org/10.1007/s11276-015-1131-9.

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36

Cao, Jin, Maode Ma, Hui Li, Yueyu Zhang, and Zhenxing Luo. "A Survey on Security Aspects for LTE and LTE-A Networks." IEEE Communications Surveys & Tutorials 16, no. 1 (2014): 283–302. http://dx.doi.org/10.1109/surv.2013.041513.00174.

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37

Panda, Prabhat Kumar, and Sudipta Chattopadhyay. "An improved authentication and security scheme for LTE/LTE-A networks." Journal of Ambient Intelligence and Humanized Computing 11, no. 5 (2019): 2163–85. http://dx.doi.org/10.1007/s12652-019-01248-8.

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38

Afroz, Farhana, Kumbesan Sandrasegaran, and Al Kim H. "Interference Management in Lte Downlink Networks." International Journal of Wireless & Mobile Networks 7, no. 1 (2015): 91–106. http://dx.doi.org/10.5121/ijwmn.2015.7106.

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39

Roth, John D., Murali Tummala, John C. McEachen, and James W. Scrofani. "On Location Privacy in LTE Networks." IEEE Transactions on Information Forensics and Security 12, no. 6 (2017): 1358–68. http://dx.doi.org/10.1109/tifs.2017.2656470.

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40

Tan, Zhaowei, Yuanjie Li, Qianru Li, Zhehui Zhang, Zhehan Li, and Songwu Lu. "Supporting Mobile VR in LTE Networks." ACM SIGMETRICS Performance Evaluation Review 46, no. 1 (2019): 74. http://dx.doi.org/10.1145/3308809.3308848.

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41

Kan Zheng, Bin Fan, Zhangchao Ma, Guangyi Liu, Xiaodong Shen, and Wenbo Wang. "Multihop cellular networks toward LTE-advanced." IEEE Vehicular Technology Magazine 4, no. 3 (2009): 40–47. http://dx.doi.org/10.1109/mvt.2009.933474.

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42

Tan, Zhaowei, Yuanjie Li, Qianru Li, Zhehui Zhang, Zhehan Li, and Songwu Lu. "Supporting Mobile VR in LTE Networks." ACM SIGMETRICS Performance Evaluation Review 46, no. 1 (2019): 74. http://dx.doi.org/10.1145/3292040.3219647.

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43

Tan, Zhaowei, Yuanjie Li, Qianru Li, Zhehui Zhang, Zhehan Li, and Songwu Lu. "Supporting Mobile VR in LTE Networks." Proceedings of the ACM on Measurement and Analysis of Computing Systems 2, no. 1 (2018): 1–31. http://dx.doi.org/10.1145/3179411.

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44

Léost, Yann, Moussa Abdi, Robert Richter, and Michael Jeschke. "Interference Rejection Combining in LTE Networks." Bell Labs Technical Journal 17, no. 1 (2012): 25–49. http://dx.doi.org/10.1002/bltj.21522.

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45

Stanze, Oliver, and Andreas Weber. "Heterogeneous networks with LTE-Advanced technologies." Bell Labs Technical Journal 18, no. 1 (2013): 41–58. http://dx.doi.org/10.1002/bltj.21592.

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46

Fatima, Faydhe Al-Azzawi, Abas Abid Faeza, and Faydhe Al-Azzawi Zainab. "Duplexing mode, ARB and modulation approaches parameters affection on LTE uplink waveform." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (2020): 1485–94. https://doi.org/10.11591/ijece.v10i2.pp1485-1494.

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The next generation of radio technologies designed to increase the capacity and speed of mobile networks. LTE is the first technology designed explicitly for the Next Generation Network NGN and is set to become the de-facto NGN mobile access network standard. It takes advantage of the NGN's capabilities to provide an always-on mobile data experience comparable to wired networks. In this paper LTE uplink waveforms displayed with various duplexing mode, Allocated Resources Blocks ARB, Modulation types and total information per frame, QPSK and 16 QAM used as modulation techniques and tested u

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47

Girmay, Merkebu, Vasilis Maglogiannis, Dries Naudts, Adnan Shahid, and Ingrid Moerman. "Coexistence Scheme for Uncoordinated LTE and WiFi Networks Using Experience Replay Based Q-Learning." Sensors 21, no. 21 (2021): 6977. http://dx.doi.org/10.3390/s21216977.

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Nowadays, broadband applications that use the licensed spectrum of the cellular network are growing fast. For this reason, Long-Term Evolution-Unlicensed (LTE-U) technology is expected to offload its traffic to the unlicensed spectrum. However, LTE-U transmissions have to coexist with the existing WiFi networks. Most existing coexistence schemes consider coordinated LTE-U and WiFi networks where there is a central coordinator that communicates traffic demand of the co-located networks. However, such a method of WiFi traffic estimation raises the complexity, traffic overhead, and reaction time

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48

Azita Laily Yusof, Izarul Fizry Jaafar, Norsuzila Ya’acob, Nur Syaza Zainali, and Aiman Zainali. "Handover Network Selection for Vehicle in LTE-A Communication Networks." Journal of Advanced Research in Applied Sciences and Engineering Technology 31, no. 1 (2023): 373–82. http://dx.doi.org/10.37934/araset.31.1.373382.

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One of the challenges to achieving smooth communications in heterogeneous networks is to find the right balance between various handover parameters for network selection. The Receive Signal Strength (RSS) from a network's Point of Attachment (PoA) is the primary factor used in traditional approaches to network selection. Therefore, network selection is vital for a successful handover in the vehicle communications network. However, vehicles moving through such diverse networks faced difficulties like frequent unwanted handovers, selecting the wrong candidate networks for handovers, and taking t

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49

Milosevic, Nenad, Bojan Dimitrijevic, Dejan Drajic, Zorica Nikolic, and Milorad Tosic. "LTE and WiFi co-existence in 5 GHz unlicensed band." Facta universitatis - series: Electronics and Energetics 30, no. 3 (2017): 363–73. http://dx.doi.org/10.2298/fuee1703363m.

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Since the future mobile networks will require significantly higher data throughput, and the Long-Term Evolution (LTE) licensed bands are already occupied, the frequency band extension and the data rate increase may be achieved by using some of the available unlicensed bands. The most appropriate unlicensed band for this purpose lies in 5 GHz frequency range. However, this unlicensed band is already occupied by WiFi networks and a special attention has to be paid to coordinate these two different networks in the shared spectrum usage. Therefore, this paper considers the shared access co-existen

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50

Chaudhry, Aizaz U., and Roshdy H. M. Hafez. "LMR and LTE for Public Safety in 700 MHz Spectrum." Wireless Communications and Mobile Computing 2019 (June 10, 2019): 1–17. http://dx.doi.org/10.1155/2019/7810546.

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This paper presents a concise overview of current public safety communication networks known as LMR (Land Mobile Radio) and emerging LTE- (Long-Term Evolution-) based broadband public safety networks to be deployed in the 700 MHz band. A broadband nationwide network for public safety based on LTE is inevitable where shared or dedicated types of LTE-based public safety networks are possible. Current LTE services do not meet mission-critical requirements and several enhancements have been defined by 3GPP to address this in Releases 12 and 13. First responders are familiar with LMR and consider i

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