Velocity-Aware Handover Self-Optimization Management for Next Generation Networks

Alhammadi, Abdulraqeb; Roslee, Mardeni; Alias, Mohamad Yusoff; Shayea, Ibraheem; Alquhali, Abdullah H.

doi:10.3390/app10041354

Cited by 49 publications

(39 citation statements)

References 19 publications

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“…Efficient mobility techniques mean the mobility procedures, methods, mechanisms, and protocols that work efficiently to support a reliable and stable connection during UEs' mobility [38,[48][49][50][51][52]. Various mobility techniques and functions have been presented to support mobility.…”

Section: Figure2 Ultra-dense and Overlapping Hetnets With Multi-typmentioning

confidence: 99%

“…Various mobility techniques and functions have been presented to support mobility. One example would be the techniques used for regulating mobility control parameters, known as handover self-optimization functions [50,51,[53][54][55][56][57][58]. Another example is the mechanisms used for making handover decisions, known as handover decision algorithms [59][60][61][62][63].…”

Section: Figure2 Ultra-dense and Overlapping Hetnets With Multi-typmentioning

confidence: 99%

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Key Challenges, Drivers and Solutions for Mobility Management in 5G Networks: A Survey

et al. 2020

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Ensuring a seamless connection during the mobility of various User Equipment (UE) will be one of the major challenges facing the practical implementation of the Fifth Generation (5G) networks and beyond. Several key determinants will significantly contribute to numerous mobility challenges. One of the most important determinants is the use of millimeter waves (mm-waves) as it is characterized by high path loss. The inclusion of various types of small coverage Base Stations (BSs), such as Picocell, Femtocell and drone-based BSs is another challenge. Other issues include the use of Dual Connectivity (DC), Carrier Aggregation (CA), the massive growth of mobiles connections, network diversity, the emergence of connected drones (as BS or UE), ultra-dense network, inefficient optimization processes, central optimization operation, partial optimization, complex relation in optimization operations, and the use of inefficient handover decision algorithms. The relationship between these processes and diverse wireless technologies can cause growing concerns in relation to handover associated with mobility. The risk becomes critical with high mobility speed scenarios. Therefore, mobility issues and their determinants must be efficiently addressed. This paper aims to provide an overview of mobility management in 5G networks. The work examines key factors that will significantly contribute to the increase of mobility issues. Furthermore, the innovative, advanced, efficient, and smart handover techniques that have been introduced in 5G networks are discussed. The study also highlights the main challenges facing UEs' mobility as well as future research directions on mobility management in 5G networks and beyond.

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Section: Figure2 Ultra-dense and Overlapping Hetnets With Multi-typmentioning

confidence: 99%

Section: Figure2 Ultra-dense and Overlapping Hetnets With Multi-typmentioning

confidence: 99%

Key Challenges, Drivers and Solutions for Mobility Management in 5G Networks: A Survey

et al. 2020

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“…This will become more significant in future ultra-dense networks as the number of small base stations increases and network specifications become more complex. Considerable increase of mobility management issues is expected [61][62][63][64].…”

Section: Research Limitations and Future Trendsmentioning

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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“…• Models that will minimize the unnecessary HO number and optimize the HO decision-making procedure should be used. [7], [60], [61], [62], [63] Signaling overhead…”

Section: Use Of Mmwave Bandsmentioning

confidence: 99%

“…Thus, both HOF and HO latency is reduced compared to conventional LTE HO operations. In [63], a velocity-based self-optimization algorithm is proposed to set HO control parameters in 4G and 5G networks. This algorithm uses the power received by the user and the speed information of the users to set the HO margin and the trigger time during the user's movement on the network.…”

Section: Ho Problemsmentioning

confidence: 99%

A Comprehensive Survey on Mobility Management in 5G Heterogeneous Networks: Architectures, Challenges and Solutions

et al. 2020

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With the rapid increase in the number of mobile users, wireless access technologies are evolving to provide mobile users with high data rates and support new applications that include both human and machine-type communications. Heterogeneous networks (HetNets), created by the joint installation of macro cells and a large number of densely deployed small cells, are considered an important solution to deal with the increasing network capacity demands and provide high coverage to wireless users in future fifth generation (5G) wireless networks. Due to the increasing complexity of network topology in 5G HetNets with the integration of many different base station types, in 5G architecture mobility management has many challenges. Intense deployment of small cells, along with many advantages it provides, brings important mobility management problems such as frequent handover (HO), HO failure, HO delays, ping-pong HO and high energy consumption which will result in lower user experience and heavy signal loads. In this paper, we provide a comprehensive study on the mobility management in 5G HetNet in terms of radio resource control, the initial access and registration procedure of the user equipment (UE) to the network, the paging procedure that provides the location of the UE within the network, connected mode mobility management schemes and beam level mobility and beam management. Besides, this paper addresses the challenges and suggest possible solutions for the 5G mobility management.

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Velocity-Aware Handover Self-Optimization Management for Next Generation Networks

Cited by 49 publications

References 19 publications

Key Challenges, Drivers and Solutions for Mobility Management in 5G Networks: A Survey

Key Challenges, Drivers and Solutions for Mobility Management in 5G Networks: A Survey

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

A Comprehensive Survey on Mobility Management in 5G Heterogeneous Networks: Architectures, Challenges and Solutions

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