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In this paper, an Efficient Spectrum Forecasting (ESF) model is developed to estimate the required spectrum and calculate the spectrum gap in future. This developed model is essentially based on five main metrics and one constant. The five main metrics are the Current Available Spectrum (CAS), Sites Number Growth (SNG), Data Traffic Growth (DTG), A...
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... upper guard band of 3 MHz should be allocated from 803 MHz. From Figure 21 (a), an amount of 90 MHz (2x45 MHz) spectrum can be provided from the 700 MHz band to IMT. Four blocks paired with the combination size of 10 MHz and 15 MHz are suggested and will be conducted by operators. ...
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... blocks paired with the combination size of 10 MHz and 15 MHz are suggested and will be conducted by operators. An arrangement could be proposed, as illustrated in Figure 21 Spectrum in the 700 MHz band became available, likely around 2018, when broadcasters in Malaysia stop transmitting analogue signals over the spectrum and move to the lower band of 470 MHz and 694 MHz. MYTV Broadcasting or MYTV, owned by Altel Communications, is the first to broadcast free digital terrestrial television, and they had already launched their services in August 2016. ...
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This study aims to analyze the illocutionary speech act used in the promotion of rural tourism in high-altitude areas by the Indonesian and Malaysian Ministries of Tourism. Searle's taxonomy of illocutionary speech acts (1979) is used, namely assertive, directive, commissive, expressive and declarative to categorize rural tourism. The data in this...
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... The rapid growth of smart emerging technologies and their features (e.g., real-time, interactive services) have contributed to the significant increase in wireless data traffic that cannot be fully supported sufficiently by the current network, even with fifth generation (5G) systems [1]. That indicates that the available deployed mobile networks will not be able to fully and efficiently keep up with the changing technical standards. ...
... Furthermore, a more developed digital society that is driven by nearly instantaneous and limitless wireless connectivity by 2030 is projected [2]. This has propelled the development of sixth generation (6G) to meet high technical standards of new spectrum-and energy-efficient transmission methods [1,3]. ...
Ever since the introduction of fifth generation (5G) mobile communications, the mobile telecommunications industry has been debating whether 5G is an “evolution” or “revolution” from the previous legacy mobile networks, but now that 5G has been commercially available for the past few years, the research direction has recently shifted towards the upcoming generation of mobile communication system, known as the sixth generation (6G), which is expected to drastically provide significant and evolutionary, if not revolutionary, improvements in mobile networks. The promise of extremely high data rates (in terabits), artificial intelligence (AI), ultra-low latency, near-zero/low energy, and immense connected devices is expected to enhance the connectivity, sustainability, and trustworthiness and provide some new services, such as truly immersive “extended reality” (XR), high-fidelity mobile hologram, and a new generation of entertainment. Sixth generation and its vision are still under research and open for developers and researchers to establish and develop their directions to realize future 6G technology, which is expected to be ready as early as 2028. This paper reviews 6G mobile technology, including its vision, requirements, enabling technologies, and challenges. Meanwhile, a total of 11 communication technologies, including terahertz (THz) communication, visible light communication (VLC), multiple access, coding, cell-free massive multiple-input multiple-output (CF-mMIMO) zero-energy interface, intelligent reflecting surface (IRS), and infusion of AI/machine learning (ML) in wireless transmission techniques, are presented. Moreover, this paper compares 5G and 6G in terms of services, key technologies, and enabling communications techniques. Finally, it discusses the crucial future directions and technology developments in 6G.
... 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) ...
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.
... As a result, the demand for mobile data will increase 1000 times over the next five years [2]. If the trend continues, the spectrum gap will increase further and lead to activating the new spectrum band [3,4]. ...
... The explosive growth of mobile communications, the diversity of networks, and three-dimensional (3D) mobile communications (e.g., drones) will radically increase mobile data demands, in which servicing will require a large number of UEs for deploying huge amounts of small and interfering BSs [1][2][3]. With the rapid growth of the Internet of Things (IoT), the 3rd Generation Partnership Project (3GPP) proposed a new wireless network generation (5G) to address the numerous challenges faced by existing networks. ...
The massive growth of mobile users will spread to significant numbers of small cells for the Fifth Generation (5G) mobile network, which will overlap the fourth generation (4G) network. A tremendous increase in handover (HO) scenarios and HO rates will occur. Ensuring stable and reliable connection through the mobility of user equipment (UE) will become a major problem in future mobile networks. This problem will be magnified with the use of suboptimal handover control parameter (HCP) settings, which can be configured manually or automatically. Therefore, the aim of this study is to investigate the impact of different HCP settings on the performance of 5G network. Several system scenarios are proposed and investigated based on different HCP settings and mobile speed scenarios. The different mobile speeds are expected to demonstrate the influence of many proposed system scenarios on 5G network execution. We conducted simulations utilizing MATLAB software and its related tools. Evaluation comparisons were performed in terms of handover probability (HOP), ping-pong handover probability (PPHP) and outage probability (OP). The 5G network framework has been employed to evaluate the proposed system scenarios used. The simulation results reveal that there is a trade-off in the results obtained from various systems. The use of lower HCP settings provides noticeable enhancements compared to higher HCP settings in terms of OP. Simultaneously, the use of lower HCP settings provides noticeable drawbacks compared to higher HCP settings in terms of high PPHP for all scenarios of mobile speed. The simulation results show that medium HCP settings may be the acceptable solution if one of these systems is applied. This study emphasises the application of automatic self-optimisation (ASO) functions as the best solution that considers user experience.
... The demands for higher bandwidth [1], [2], link reliability and high data rate applications have been significantly ...
... growing in the past few years. Therefore, new techniques are required to meet these demands and solve the challenges that may arise [1], [3], [4]. The rapid and expanding demands for multimedia and bandwidth services have shifted research attention to the Passive Optical Network (PON) [5], [6]. ...
The 10-Gigabit Passive Optical Network (GPON), also known as (XGPON), is a key technology for the next generation of optical fibre communication systems which can improve reliability and data rate. However, the increment in the transmission distance and data rate will lead to increased dispersion. This paper proposes a model based on the Sub-Carrier Multiplexing/Wavelength Division Multiplexing-Radio over Fibre-10-Gigabit Passive Optical Network system (SCM/WDM-RoF-XGPON) for Radio Frequency (RF) using a conventional Optical Network Unit (ONU) with the Square Root Module (SRM) on the side of the receiver. It is connected to a central office Optical Line Terminal (OLT) via an access network for multi-channel optical fibre transfers with a distance of 80 km and at 10 Gbps data rate. The Optisystem 15 simulation software is used to evaluate the proposed system based on the Bit Error Rate (BER), Quality factor (Q-factor) and eye diagram. The proposed system of bidirectional fibre links uses 1270 nm and 1577 nm wavelengths for uplink and downlink transmissions, respectively. The performance is further enhanced through the use of SRM to compensate for the square law characteristics, making it suitable for providing broadband services. Due to the utilisation of SRM in the architecture, the reported results reveal a double enhancement in successful transition performance at an optical fibre length of 80 km distance. The BER displayed significant improvement (less than 1.00E-09) with SRM at 80 km; however, without SRM and at 50 km, the BER is less than 1.00E-09. Investigations have presented an enhancement in the Q-factor’s effectiveness with the use of SRM, which helps to increase the XGPON length. When the length of the fibre is 80 km, the Q-factor is 6 with SRM, while it is 3.7 without SRM.
... Society's increased reliance on MBB networks has led to significant challenges for service providers in terms of delivering uninterrupted coverage, high network performance, and increased user Quality of Experience (QoE) [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. These challenges motivate MBB stakeholders in the academia and industry to understand the gap between the performance of current technologies and users' ever-increasing demands and expectations. ...
This paper presents a multidimensional performance analysis of existing Mobile Broadband (MBB), Third Generation (3G) and Fourth Generation (4G) networks, of rural morphology in Malaysia. The MBB performance analysis is carried out based on measurement data obtained through Drive Tests (DT) conducted in rural areas located in three Malaysian states: Johor, Sarawak, and Sabah. The measurement data pertains to the performance of three national Mobile Network Operators (MNOs) in rural areas: Maxis, Celcom, and DiGi. The MBB performance measurement data was collected between January and February using modified Samsung Galaxy S6 smartphone handsets. The measurement data of the 3G and 4G MBB networks are associated with four performance metrics (coverage, latency, satisfaction, and speed) for two MBB services: web browsing and video streaming. During the measurements, each smartphone collected the performance data of only one MBB service. Several classifications were identified to comprehensively monitor the performance of the two MBB services. For the data measurement of the MBB video streaming service, the same YouTube video was alternately played by the same smartphone, but with two different resolutions: 720p (low) and 1080p (high). For the data measurement of the MBB video streaming service, three different webpages (i.e., google, Instagram, and mstar) are sequentially browsed in a loop using another smartphone. This research work is designed to mimic real scenarios where the smartphone in use is not exclusively locked to a single technology while streaming a video or browsing a website. This allows the identification of the coverage for 2G, 3G, and/or 4G technologies within the tested areas. Due to the small amounts of 2G data, we omitted the analysis of 2G technology in the present study. The MBB performance analysis shows that, on average, the 4G network performed much better than the 3G network for all three MNOs throughout all measurement areas considered in this research. For instance, the 4G technology achieved a minimum of 42.4 ms on the web ping average RTT latency, while the 3G only achieved a minimum of 69.9 ms. For the average E2E RTT ping server latency, 4G achieved as low as 33.27 ms, while 3G obtained a minimum of 122.98 ms. The vMOS scores for 4G technology for both web browsing and video streaming services are larger than 3, while the 3G technology had a score of less than 3. The 4G technology can provide an improvement up to a factor of 4.2 and 1.6 in the download speed when browsing a web and streaming a video, respectively, in comparison to the 3G technology. These observations were found to be consistent across all mobile operators. This is unsurprising because we would expect consumers to experience a noticeable improvement when using a mobile broadband service over a 4G network as compared to a 3G network. The presented results provide a general direction for efficiently planning the Fifth Generation (5G) network in rural areas.
The sixth generation (6G) of mobile networks must support the huge growth of mobile connections and provides various intelligent services in future mobile networks. For that, designing high‐performance network architecture and communication systems (CSs) as well as finding coherent solutions for the determined problems is critical demand that needs to be achieved in 6G networks. Optimal solutions are mainly sought by using modifiable, smart, and perceptive algorithms aimed at optimizing more specific tasks. Therefore, advanced optimization methods are highly required to accommodate the requirements of CSs efficiently. That will be in various parts of the future networks such as advanced mobility management, multi communication links, efficient power consumption, ultra‐lower latency, ultra‐security, high speed, and reliable connectivity. Accordingly, highly accurate and smart functions must be modeled to optimize the required communication parameters in the network. This study provides a comprehensive overview of optimization methods that may need further investigations and developments to be applied in 6G networks at various parts of networks. A detailed theoretical description for each method is presented and discussed to elucidate future research directions for optimizing specific characteristics with multi‐objective optimizations. Moreover, this article illustrates the conceptual and structural viewpoints of reported optimization methods. Also, the capability of various optimization methods that can offer industrial solutions in 6G is discussed. The potential applications of each method are also analyzed. Finally, this article presented the research issues and future directions of optimization technology and research gaps that need to be addressed before the standardization of 6G networks.
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 non-standalone (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.
