مطالب مرتبط با کلیدواژه
۱.
۲.
۳.
۴.
۵.
۶.
۷.
۸.
۹.
۱۰.
۱۱.
۱۲.
۱۳.
۱۴.
۱۵.
۱۶.
5G
حوزههای تخصصی:
As mobile data traffic increases, and the number of services provided by the mobile network increases, service load flows as well, which requires changing in the principles, models, and strategies for media transmission streams serving to guarantee the given nature of giving a wide scope of services in Flexible and cost-effective. Right now, the fundamental question remains what number of network slices will be cost effective for slice managing and giving the required functionality. So, the aim is to improve the efficiency of mobile network by forming an ideal slice in a multi-service communication network. In this paper, we propose a model to demonstrate network resource allocation system that forms devoted network slices to serve particular types of services independently on shared infrastructure. This model solves the problem of creating a strategy to form multi-service core mobile communication network slices, which allow the providing of a wide scope of services with certain quality indicators according to the effective dynamic configuration of the system. A resource management system model is created, to provide a method that considers costs related with excessive resource allocation, and also reduces the number of network recalculations, allowing for a reasonable proportion of management costs and Qualities of Service.
پیش بینی ضریب نفوذ نسل پنجم شبکه ارتباطی در ایران(مقاله علمی وزارت علوم)
منبع:
مدیریت نوآوری سال هشتم بهار ۱۳۹۸ شماره ۱ (پیاپی ۲۷)
108 - 128
حوزههای تخصصی:
هدف از این مقاله بررسی روش های متنوع تحلیلی ضریب نفوذ فناوری نسل پنجم (5G) و در نهایت محاسبه ضریب نفوذ 5G در ایران بر اساس روش پرتو است. میزان ضریب نفوذ فناوری 5G برای پیش بینی زمان و نحوه گذر به شبکه 5G مهم است. در این مقاله فرض بر آن است که نفوذ اولیه 5G به میزان نفوذ موج قبلی فناوری بی سیم تلفن همراه که "نسل چهارم 4G" نامیده می شود، بستگی دارد. مشترکین تنها از نسل قبلی خود به یک نسل بعد مهاجرت خواهند کرد. محاسبه میزان ضریب نفوذ فناوری 5G بر اساس روش پرتو به میزان ضریب نفوذ 4G در همان سال بستگی دارد. ضریب نفوذ فناوری 5G در ایران روش پرتو محاسبه شده است. پیش بینی تعداد مشترکین منحصربه فرد 5G در سال های بعد از راه اندازی نیز با پیش بینی تعداد مشترکین منحصربه فرد فناوری 4G با استفاده از روش گومپرتز صورت گرفته است. بهترین زمان جهت سرمایه گذاری گسترده اپراتور در حوزه 5G سال 2025 و بهترین زمان برای جایگزینی فناوری 5G بجای فناوری 4G در اپراتورهای ارتباطی و عدم سرمایه گذاری در حوزه 4G نیز سال 2029 پیش بینی شده است.
Design, Realization and Measurements of Printed Patch Antenna with Circular Slots for UWB and IoT Applications(مقاله علمی وزارت علوم)
حوزههای تخصصی:
This paper presents the design, simulation and realization of a patch antenna for IOT applications. The patch antenna consists of a radiating element printed on one face of a dielectric substrate, when the ground plane is placed on the other face. In this work, two techniques are used to design a miniaturized patch antenna: the set-up of slots on the radiating element and the use of defective ground plane. Also, the slot’s radius and Length of inset point effects on the performances of the antenna is illustrated. All the simulated results are performed with FEKO, a solver based on a Moments Method and measurement is made using Vector Network Analyzer Anritsu MS2026C. The propose antenna resonates in three frequency bands 3.91, 4.86 and 5.16GHz for different characteristics such as radiation pattern, gain, return loss, which makes it suitable for many wireless communication applications such as IoT applications.
AI-Powered Network Management with Enhancing Reliability and Security(مقاله علمی وزارت علوم)
منبع:
پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵)
119 - 148
حوزههای تخصصی:
Background: Contemporary multi-protocol networks necessitate scalability, reliability, energy efficiency, and security due to the increasing number of devices and the diversification of network traffic. Conventional network management methods are inadequate to meet these demands, necessitating sophisticated solutions. Artificial intelligence (AI) has emerged as a significant field, offering advanced methods including predictive maintenance, anomaly detection, and intelligent resource management. Objective: This article aims to critically evaluate the effectiveness, flexibility, and productivity of AI-based applications in addressing major challenges in network management, including performance, scalability, energy consumption, threat detection rates, and cost. Methods: The study employs simulations and modeled datasets to assess AI-oriented solutions across various network environments, such as industrial IoT, smart cities, and telecommunications. The evaluation encompasses factors including Mean Time Between Failure (MTBF), resource utilization, delay minimization, and operating cost reduction. Digital twins, intelligent routing algorithms, and self-attention-based anomaly detection models are utilized, and the overall performance of these integrated technologies is analyzed. Results: The analysis demonstrates that AI-powered systems achieve near-optimal performance across all evaluated indicators. Specifically, the Manufacturing and Automotive Knowledge (MAK) sector observed a 52% increase in MTBF, the Banking, Financial Services, and Insurance (BFSI) sector noted a 32.39% improvement in energy efficiency, and the Defense and Public Enterprise (DPE) sector experienced a 94% increase in advanced threat detection. Conclusion: The findings indicate that AI solutions can effectively address many of the challenges present in current networks, offering cost-efficient and secure methods for implementing new communication networks with vast potential. Nonetheless, further empirical research is necessary to generalize these results and validate their applicability in real-world scenarios.
Network Slicing for Customizing 5G Networks for Industry-Specific Needs(مقاله علمی وزارت علوم)
منبع:
پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵)
369 - 400
حوزههای تخصصی:
Background: Network slicing has turned out to be one of the key enablers in the 5G networks due to the ability to support the diverse applications such as ultra reliable and low latency communications for the self-driving cars or IoT-like massive machine type communications. Prior expeditions lacked integrated tools for the dynamic assignment and allocation of resources and no possibility for maintaining constant QoS. Objective: In this article, the primary aim is to synthesis and test a reinforcement learning–driven slicing framework in order to orchestrate the resources of the three types of slices – URLLC, mMTC, and eMBB. This is to improve the performance of the sliced resource, ensure high availability, and minimize competition of the resources in multi-tenant scenarios in 5G networks. Methods: The proposed study design includes a focus on the key stakeholders and their needs for requirements gathering and an experimental field for actual implementation. Resource distribution is guided by the reinforcement learning algorithms by trying to minimize a cost function which incorporates the relation between the latency, isolation, throughput and energy expended. Using a number of runs, quality of performance is monitored to enable assessment of stability as well as response rates. Results: Experimental results show that the proposed framework achieves a lower level of latency violations and capacity oversubscription compared to heuristic methods. Furthermore, it consistently achieves nearly 2.5X better throughput for telemedicine slices and guarantees less than 5 ms latency for time-sensitive services during dynamic traffic conditions. Conclusion: The study shows how reinforcement learning can be effective and applied for end-to-end 5G network slicing. This sort of adaptive orchestration can increase service dependability while optimising overhead and herald instantly climbable multi-tenant networks compatible with various industries
Synergizing 5G and Artificial Intelligence: Catalyzing the Evolution of Industry 4.0(مقاله علمی وزارت علوم)
منبع:
پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵)
495 - 524
حوزههای تخصصی:
Background: The marriage of 5G and Artificial Intelligence (AI) has been brought forward as a key enabler of Industry 4.0 and smart city applications. These technologies solve the problem of latency, scalability, and energy use, providing technology support for real-time decision-making and efficient organization of work. Nevertheless, studies regarding their individual and collective effects in a plethora of industrial and urban contexts are still limited. Objective: The objective of this research is to assess the performance, energy saving, and expansibility of 5G and AI synergies in manufacturing, logistics, healthcare, and smart city applications and highlight their challenges and potential for further exploration. Methods: An experimental data collection, mathematical modeling and comparative analysis approach was employed. Performance indicators including latency, possible and actual throughput, power usage, and predicting achievement were measured in real pilot tests implemented in dense networks and IoT contexts. Available data were compared with other similar studies to gain an understanding of the results. Results: The conjoin with 5G and AI suggested potential optimization of process; the latency has been decreased to more than 90%, its predictive maintenance was sharpened, and its power consumption was decrease to 75%. The feasibility of extending scalability and system reliability of the protocol was confirmed in dense IoT environments, with further potential for emission reduction. Conclusion: The study identifies the use of 5G in Industry 4.0 with AI in addressing dynamic issues but potential drawback includes scalability and security. More studies should be conducted on the novel hybrid architectures and 6G integration concerning more extensive areas.
The Role of Software-Defined Networking (SDN) in Modern Telecommunications(مقاله علمی وزارت علوم)
منبع:
پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵)
551 - 582
حوزههای تخصصی:
Background: Software-Defined Networking (SDN) is widely considered a new paradigm shift in today’s telecommunication evolving method of centralized control, program interface, and dynamic resource configuration. Members of such a network can be reached through single-hop or multi-hop communication and is, however, still faced with inexhaustible challenges in scalability, security, energy consumption as well as Quality of Service (QoS). Objective: Specifically, the article will seek to compare both SDN enabled network as well as legacy networks as regards to established parameters like scalability, security, power consumption, traffic control and path finding. The research aims to fill these gaps by employing state-of-art methods and offer useful recommendations of SDN implementation. Methods: Both simulation and analytical modeling were used to evaluate the proposed SDN architectures under different loads. Metrics were assessed with the congestion control based on the neural network, optimization involved the multiple objectives, and security assessment via game theory. Analyses for statistical significance further supported the performance enhancements determined. Results: The results show 44% improved latency, 33% better energy consumption, and better load balancing in SDN-enabled network. Neural network-based mechanisms were able to reroute 95% of the time under low traffic conditions, while distributed controller-based strategy had high scalability and security. Conclusion: This study points to the capacity of SDN to revolutionize the contemporary telecommunication with strong techniques for comprehensive problems. For the future work it is recommended to conduct validations in operational conditions, and include underdevelopment technologies into the system hierarchy to improve its flexibility and operation characteristics.
Drones as Mobile 5G Base Stations with Expanding Coverage in Remote Areas(مقاله علمی وزارت علوم)
منبع:
پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵)
667 - 697
حوزههای تخصصی:
Background: The rapid development of fifth-generation (5G) networks highlights challenges in extending coverage to remote and underserved areas due to infrastructure limitations and cost constraints. UAVs (drones) equipped with 5G base stations emerge as an innovative solution to this problem. Objective: This study aims to analyze the potential of drones as mobile 5G base stations to enhance connectivity in remote regions, addressing challenges like optimal deployment, energy efficiency, and user coverage. Methods: The research utilizes algorithms like Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO) for placement and energy management of drone-based 5G stations. Simulation models were employed to test these algorithms, with key metrics including coverage efficiency and energy consumption. Results: The study shows that drone-based stations can significantly improve coverage in remote areas, achieving up to 95% user coverage with optimized algorithms. Tethered drones and advanced energy management strategies were instrumental in enhancing endurance. Conclusion: Drones as mobile 5G base stations present a feasible and scalable approach to bridging the digital divide in remote regions. However, energy and regulatory challenges remain critical areas for future research.
Revolutionizing Telecom Latency with Edge Computing and 5G(مقاله علمی وزارت علوم)
منبع:
پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵)
831 - 860
حوزههای تخصصی:
Background: The telecommunications’ growth, especially with the emergence of 5G, has led to the requirement of low latency solutions. Current cloud computing models possess architectural flaws that prevent real-time service delivery, critical in applications of autonomous vehicles, augmented reality among others. Objective: This article reviews how edge computing can be combined with 5G networks to overcome the latency issues in today’s telecommunication systems. They look at how this combination can cut down latency by processing data closer to the end consumer and its potential to disrupt several industries. Methods: This research uses the literature review of current information in 5G and edge computing systems, architectures, practices, and theoretical frameworks. The result of the work is based on the assessment of the existing solutions in the implementation of edge computing within the 5G environment based on case analysis. Results: The analysis shows that all the applications such as self-driving cars and industrial robotics experienced 40 to 70% reduced latency. Also, edge computing results in better resources management in case of telecommunications since it deems many computing tasks to localized edge nodes from cloud. Conclusion: Combining edge computing with networking also provides a distinctive model for addressing latency problems while enhancing the network and boosting industry development. Concerning the research limitations, the future research should explore ways of improving the efficiency of resource allocation to meet the company’s needs and explore the scalability issues.
The Role of UAVs in Enhancing Network Resilience During Natural Disasters(مقاله علمی وزارت علوم)
منبع:
پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵)
933 - 966
حوزههای تخصصی:
Background: Failures of communication usually occur during natural disasters, therefore signaling the importance of flexible networks. Unmanned Aerial Vehicles (UAVs) are anticipated to solve this problem by acting as on-the-move networks in the disaster-stricken regions. However, barriers that include challenges in UAV control coordination, resources allocation as well as security of the data being drawn are still pushing the technology backward. Objective: The article seeks to design and analyze enhanced heuristics for employing UAVs in disaster communications to enhance performance, availability, and security. Methods: Both primary, semi-structured interview and survey and post-disaster reports as well as secondary, computational analysis based on MATLAB and NS - 3 simulations were used as the data collection technique. Five algorithms: Multi-UAV Coordination, Dynamic Resource Allocation with Security, Hybrid Communication Framework, AI-Driven Path Optimization, Privacy-Preserving Data Sharing were implemented and incorporated. Theoretical models built on the basis of multi- objective optimization and the theory of games confirmed work ability to scale. Results: The introduced algorithms increased coverage by 75%, decreased latency by 27 percent, and also introduced 30 percent energy efficiency. Average privacy compliance levels floated above 90%, and an advanced resource allocation model achieved equal distribution. All these enhancements were affirmed in urban, rural and mountainous regions further proving versatility and stability. Conclusion: The article proposes a framework for UAV-enabled disaster communication system that can incorporate advanced algorithm and theoretical models to overcome the coordination challenge while ensuring the efficiency and security of the system. The presented results can be considered to be the reliable base for the UAVs usage in disaster situations.
Digital Transformation in Telecommunications from Legacy Systems to Modern Architectures(مقاله علمی وزارت علوم)
منبع:
پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵)
1027 - 1059
حوزههای تخصصی:
Background: Telecommunications has been rapidly moving from legacy systems to highly flexible modern architectures to accommodate the expanding demand on its services. This evolution is critical in providing the capacity needed for new technologies like 5G, IoT, and applications powered by AI. Objective: The study aims at establishing a literature review on the evolution from the more or less obsolete telecommunication structures to new generation digital structures, opportunity factors, technologies that facilitate this change as well as the value addition by this evolution. Methods: The literature review was followed by an examination of industry case studies of 50 telecommunications firms across the globe. The study looked at best practices including network resource utilization, operational price, and service delivery effectiveness, pre and post implementation of technologies like software-defined networking (SDN), network function virtualization (NFV), and cloud-native architectural strategies. Results: The analyses brought out the fact that with the new architectures, network scale up capabilities were enhanced by 70%, operation costs were brought down by up to 30% and service delivery rates were boosted by 40%. Nonetheless, 85% of the firms that implemented the software upgrade faced issues with system integration, which took fifteen months on average before the new system was fully incorporated, and the firms incurred an additional 20% in implementation costs in accommodating integration issues. Conclusion: Extension of telecommunication architectures towards digital landscape improves performance, capacity, and affordability thereby allowing the providers to address next generation applications. However, while making this transition, there are a number of risks that organizations have to face and it is very important to manage them in order to have maximum benefits from using new digital technologies.
Edge AI for Transforming Autonomous Systems and Telecommunications for Enhanced Efficiency and Responsiveness(مقاله علمی وزارت علوم)
منبع:
پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵)
1061 - 1086
حوزههای تخصصی:
Background: Enabling Edge Artificial Intelligence (Edge AI) to be implemented in autonomous systems and telecommunications can offer for improved real-time data, non-recurring latency, enhanced operational proficiency. Some empirical research suggests that Edge AI minimizes latency by 70%, enhances computing speed by 50%, and cuts bandwidth consumption by 30% in the most demanding cases. Objective: The purpose of this article is to investigate how Edge AI can serve as an enabling technology for the future of self-sustaining environments such as autonomous mobility and telecommunications in terms of measured utility and differentiation. Methods: Screening 120 refereed articles and 25 case studies connected to Edge AI application in telecoms and self-governing systems, this systematic looked-for patterns in the proximal research and promising agendas. The review encompassed research works concerned with latency minimization, bandwidth enhancement and enhancement in the processing capacity. Focus was made on application areas like self-driving cars, industrial IoT, and smart city platforms and performance analysis was made in these areas. Results: The current study prove that when employed in autonomous systems, Edge AI enhances decision making reaction time by 40-60%, while enhancing data traffic throughput within telecommunications networks by 35%. Further, Edge AI makes the overall energy consumption lower in IoT-based applications by cutting down the average usage by a quarter thus creating a sustainable network. Conclusion: Edge AI becomes a central tool in the development of self-driving cars and telecommunications, increased performance and ability to handle mass amount of data at a low latency. These developments place Edge AI at the base of the evolution of future intelligent systems as the basis for smarter and more responsive technological landscapes.
Advancements in Open RAN and the Decentralization of Telecom Networks(مقاله علمی وزارت علوم)
منبع:
پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵)
1213 - 1245
حوزههای تخصصی:
Background: In the article, the author explores the possibilities of Open Radio Access Network (Open RAN) as a revolutionary idea to democratize telecom networks. Objective: The study aims to compare the efficiency, cost, flexibility, scalability, and performance of Open RAN against conventional RAN systems. Methods: The study used simulation, cost modeling and execution of real-world case studies with support from Rakuten Mobile, Vodafone, Telefónica, MTN, and DISH Network. The approach also employed prescriptive analytics to evaluate the deployment of relatively new paradigms like blockchain and AI into Open RAN environments. Results: The study shows that Open RAN leads to substantial CAPEX and OPEX cost saving with a further enhancement in the key network performance metric such as latency by 20% and throughputs by 25%. Additional improvements of 30% demonstrate that Open RAN is also an environmentally friendly solution. The validations also showed how it could expand to both heavily populated large cities and sparsely populated rural areas to improve both coverage and mobility. Conclusion: However, some of the disadvantages that surfaced include; the problem of compatibility, high costs of implementation in the initial stages, and compliance with set regulatory standards. These underscore the need for standardized and coherent protocols and frameworks to enable widespread implementation. Open RAN is highly transformative in modern telecommunications due to the fact that it is affordable, expandable and eco-friendly. Due to its Flexible/Modular design in combination with advanced technologies, it acts as key enabler for future networks such as 5G, 6G and more and tackles Global connectivity and efficiency problems.
Drone-Assisted Network Maintenance as a Revolutionizing Telecom Infrastructure(مقاله علمی وزارت علوم)
منبع:
پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵)
1309 - 1339
حوزههای تخصصی:
Background: Telecommunication infrastructure requires regular maintenance and upkeep for its networks’ matrices, but existing approaches have been associated with issues such as time consumption and concern costs, as well as safety hazards. Newer developments in drone technology present progressive opportunity through the improvement of current maintenance processes by means of automation, predictability, and real time computation. Objective: The article seeks to assess whether the use of drone in telecommunication maintenance enhances the operational productivity through increasing the efficiency, reducing cost, safety, environmental and scalability and in different terrains. Methods: The methods followed included the conduct of experimental surveys with drone operations in five different telecommunication settings. These areas of interest were inspection efficiency, the accuracy of condition-based maintenance, signal received signal power, delay reduction through edge computing, and energy consumption. Sophisticated numerical computations, like Kalman filters and various frameworks of edge computing, were used in this context to draw analytical insights on the collected data. Results: The methods that used drones lowered the time needed for inspections by ¾ and cut the expenses by 49.3% and increased safety and quality of the coverage. Predictive maintenance was found to have achieved 89.7% accuracy with the system response time being 246ms at different site. The results of energy consumption model depicted the errors under 2% confirming this approach’s suitability for operational planning. Conclusion: By evaluating the applicability of drones in telecoms maintenance, the paper shows that the notion of drones in this context is promising both now and in the future. These results signal existing and potential applications of drones is to incorporate drone technology into infrastructural management solutions to address emerging needs in the industry.
The Future of Optical Fiber Networks for Speeding Up the Internet of Tomorrow(مقاله علمی وزارت علوم)
منبع:
پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵)
1371 - 1401
حوزههای تخصصی:
Background: The availability of advanced digital technology and evolving need for high speed and low latency connections have put pressures on the existing optical fiber networks. New technologies like the Wavelength Division Multiplexing (WDM), Photonic Integrated Circuits (PICs), Mode Division Multiplexing (MDM) and Quantum Communication will be valuable towards the achievement of these demands. Objective: The study examines the capability, expansiveness, and cost-effectiveness of current and emerging optical fiber systems for the development of future Internet technology. The research also seeks to assess these formations to improve data transmission rates, network response time, secure and efficient networks’ solutions. Methods: This is a mixed methods study where both experimental and computational data were collected and analyzed accompanied by theoretical insight. The results that were compared included transmission rate, spectral efficiency, signal integrity and lifecycle costs. Specific work was done on multi-band WDM, PIC-based systems, optical QKD along with simulation studies on large scalable multi-core and mode-division architectures. Results: The article samples acknowledge improved network capabilities with increased transits per watt by 300% in multi-band WDM and reduction of latency levels by employing edge computing. The tested PIC-based systems were shown to be more efficient than the comparable existing systems and quantum communication proved to be reliable method for transmitting data over short to medium distances. Conclusion: Today, it can be stated that the advanced optical fiber technologies are of great value for the construction of high speed, large bandwidth and secure Internet connection. Their integration can reportedly conquer future connectivity issues but new development is required to come over the barriers of deployment and sustainability.
5G Deployment in Rural Areas: Advancing Connectivity and Bridging the Digital Divide(مقاله علمی وزارت علوم)
منبع:
پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵)
1445 - 1467
حوزههای تخصصی:
Background: Digital literacy, education, and human right of internet are also hampered in rural areas keeping the rural people more backward in the technological advancement and not providing them better chance of socioeconomic development. The opportunity of implementing the new 5G technologies can give the new perspective in the elimination of such disparities manifested through the improvement of the connection, the decrease of latency, and the increase of data transfer rates. This research study established that the adoption of 5G for coverage in rural areas is challenged by technical, economic and policy factors. Objective: The article aims at analyzing the technical, economic, and social aspects of 5G technology in the rural context in order to identify such problem the development of appropriate solutions for infrastructure costs, spectrum availability, and consumers. In pursuing this goal, the research seeks to develop practical recommendations on enhancing deployment strategies to increase Internet access where it is scarce. Methods: The study therefore used an exploratory, theoretical-evaluative, and finally empirical approach that involved quantitative modeling, case studies, and key informant interviews. Latency, data throughput, and coverage stand as the most significant factors which were tested using network simulation. Level of cost was used to determine economic feasibility while data for qualitative analysis were obtained from a survey of policymakers and telecom operators, and focus group discussion with rural community leaders. Results: In the case of 5G, the implementation of the system led to a 75% reduction in latency, a 600% improvement in the data throughput, and a 300% increase in coverage area. This finding revealed that the partnerships as a deployment model were the most effective as they resulted to a 58%ROI and lowered infrastructure costs. Conclusion: The study reaffirms the innovation of 5G to rural areas and develops agriculture, healthcare services, and educational systems. Policies, investments in the right areas, optimal management of the available spectrum and engaging with the communities as required should be a key focus for deployment to be just.