Predicting required licensed spectrum for the future considering big data growth

Shayea, Ibraheem; Rahman, Tharek Abd; Azmi, Marwan Hadri; Chua, Tien Han; Arsad, Agus

doi:10.4218/etrij.2017-0273

Cited by 10 publications

(3 citation statements)

References 16 publications

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“…2 1. The RSRP is considered in Algorithm (1) while SINR is the criteria of HO decision in Algorithm (2). Algorithm (3) provides the cost function-based method where C n represents the evaluation for network n. Algorithm (4) addresses the bandwidth criteria where P r is the unnecessary HO probability.…”

Section: E Handover Decision In Hetnetsmentioning

confidence: 99%

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Mobility Robustness Optimization in Future Mobile Heterogeneous Networks: A Survey

et al. 2022

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Ensuring reliable and stable communication during the movements of mobile users is one of the key issues in mobile networks. In the recent years, several studies have been conducted to address the issues related to Handover (HO) self-optimization in Heterogeneous Networks (HetNets) for Fourth Generation (4G) and Fifth Generation (5G) mobile networks. Various solutions have been developed to determine or estimating the optimum and ideal settings of Handover Control Parameters (HCPs), such as Time-To-Trigger (TTT) and Handover Margin (HOM). However, the complexity, high requirements, and the upcoming structure of ultra-dense HetNets require more advanced HO self-optimization techniques for future implementation. This paper studies HO self-optimization techniques that may implemented in the next-generation mobile HetNets by reviewing state-of-the-art algorithms. The solutions discussed in this survey are more focus on Mobility Robustness Optimization (MRO), which is a significant self-optimization function in 4G and 5G mobile networks. The applied solutions will preserve the continuous connection between the User Equipment (UE) and eNBs during UE mobility, thereby enhancing connection quality. The various algorithms and techniques applied to HO have revealed different outcomes. This paper discusses the pros and cons of these techniques, and further examines HO self-optimization challenges and solutions. New future directions for the implementation of HO self-optimization are also identified. This survey will contribute to the understanding of the issues related to mobility management, particularly in relation to the self-optimization of HO control parameters in future mobile HetNets.

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Section: E Handover Decision In Hetnetsmentioning

confidence: 99%

“…Recent years have seen the rapid increase in the number of wirelessly connected devices, leading to the increased demand for high system capacity and data rate transmission [1], [2]. By the end of 2021, Fifth Generation (5G)…”

Section: Introductionmentioning

confidence: 99%

Mobility Robustness Optimization in Future Mobile Heterogeneous Networks: A Survey

et al. 2022

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“…Several entities across the globe are continuously tracking and forecasting the global MBB data traffic to analyse its growth trends, which is crucial for MBB service providers [1,2]. For instance, the Cisco Visual Networking Index (VNI) Global Mobile Data Traffic Forecast Update released in February 2019 had reported informative figures that reflect the dynamic effect of networking applications on global networks [3].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Mobile Broadband Networks With 5G Trends and Beyond: Urban Areas Scope in Malaysia

et al. 2021

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The performance of Mobile Broadband (MBB) services of Fourth Generation (4G) and Third Generation (3G) mobile networks over urban morphology is studied in Malaysia based on experimental measurements of drive test data. The aim of this study is to provide a roadmap for service providers to establish a realistic plan for future Fifth Generation (5G) networks. This work is a continuation of our previous work for the scope of rural areas in Malaysia. The MBB measurement data have been gathered through drive tests conducted in the urban areas of four states throughout Malaysia (namely, Klang Valley/Selangor, Johor, Sarawak and Sabah) to characterise and analyse MBB performances. The gathered data are from the cities, highways and federal roads of the chosen states, and encompasses three main Mobile Network Operators (MNOs). Data has been collected in a time span of 2 months, from January to February, using the Samsung Galaxy S6 smartphone handsets. Four MBB Key Performance Indicators (KPIs) are considered in this study (coverage, latency, satisfaction and speed) for two MBB services (web browsing and video streaming). The measurement data for characterising the performance of each MBB service has been collected using a dedicated smartphone handset. YouTube videos with 720p and 1080p resolutions have been sequentially streamed to assess the performance of MBB video-streaming services. Three distinct websites (Google, Instagram and mStar) have been accessed to evaluate the performance of MBB web-browsing services. The experimental methodology of this study integrates several diversified elements including four different urban states, four distinct KPIs, three main MNOs, two MBB services and two radio networks (4G and 3G), which are both accessible by the smartphones when available to mimic real-world scenarios. The results of this study reveal that the performance of 4G radio networks is generally superior to that of 3G . For instance, 4G networks achieved a vMOS score of more than 3 for both MBB video-streaming and web-browsing services, while 3G networks scored less than 3 across all four study areas. The analysed experimental results confirmed that compared to 3G networks, 4G technology presents an enhancement factor of up to 1.6 and 4.2 in download speed when streaming a video and browsing a web page, respectively. The study outcomes can contribute to the efficient planning of nonstandalone (NSA) 5G networks in Malaysia where 5G networks will be aided by existing 4G infrastructures. Analysing the 4G coverage performance is the first step towards deciding the deployment rate of NSA 5G in Malaysia.INDEX TERMS Mobile Broadband, urban areas, Malaysia, 3G and 4G networks, plans for 5G technology in Malaysia

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Time series forecasting model of future spectrum demands for mobile broadband networks in Malaysia, Turkey, and Oman

Shayea

Alhammadi

El‐Saleh

et al. 2022

Alexandria Engineering Journal

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Predicting required licensed spectrum for the future considering big data growth

Cited by 10 publications

References 16 publications

Mobility Robustness Optimization in Future Mobile Heterogeneous Networks: A Survey

Mobility Robustness Optimization in Future Mobile Heterogeneous Networks: A Survey

Performance Analysis of Mobile Broadband Networks With 5G Trends and Beyond: Urban Areas Scope in Malaysia

Time series forecasting model of future spectrum demands for mobile broadband networks in Malaysia, Turkey, and Oman

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