Advancements in 5G Technology: Enhancing Connectivity and Performance in Communication Engineering

Authors

  • Bhavik Patel Industrial Engineer, Innovative Electronics Corp, Pittsburgh, PA, USA
  • Vamsi Krishna Yarlagadda SAP Architect, Seattle School District, John Stanford Center for Educational Excellence, USA
  • Niravkumar Dhameliya Software Engineer, Therapy Brands, Birmingham, AL, USA
  • Kishore Mullangi Staff Site Reliability Engineer, Visa Inc., Austin, TX, USA
  • Sai Charan Reddy Vennapusa Sr. Functional Analyst, Costco Wholesale, 3905 Dallas Pkwy, Plano, TX 75093, USA

DOI:

https://doi.org/10.18034/ei.v10i2.715

Keywords:

5G technology, Communication Engineering, Wireless Networks, Mobile Communications, Edge Computing, Virtualization

Abstract

The present research delves into how 5G technology developments can improve communication engineering performance and connectivity. The primary goals are to assess 5G's technical viability, performance potential, and real-world obstacles while offering recommendations for best practices in implementation and use. The study synthesizes current literature, research papers, and industry reports using a secondary data-based review technique to examine the technological underpinnings, performance improvements, real-world applications, and future directions of 5G. According to key findings, 5G dramatically improves data rates, lowers latency, and allows for ample device connectivity, opening up new possibilities for revolutionary applications in industries like industrial automation, smart cities, and healthcare. Strategic policy interventions are necessary to address cybersecurity risks, coverage restrictions, interoperability issues, and expensive infrastructure costs. To overcome these issues, provide fair access, and optimize the socioeconomic benefits of 5G, policymakers are encouraged to prioritize spectrum allocation, simplify regulatory frameworks, and provide incentives for investments. Future studies and developments in Edge Computing and AI-driven network optimization are emphasized as essential to improving 5G networks even more. The potential of 5G to alter communication engineering and accelerate inclusive digital transformation is shown by this thorough examination.

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References

De, P., Singh, S. (2016). Modified Random Forest Approach for Resource Allocation in 5G Network. International Journal of Advanced Computer Science and Applications, 7(11). https://doi.org/10.14569/IJACSA.2016.071152 DOI: https://doi.org/10.14569/IJACSA.2016.071152

Dhameliya, N., Sai Sirisha Maddula, Kishore Mullangi, & Bhavik Patel. (2021). Neural Networks for Autonomous Drone Navigation in Urban Environments. Technology & Management Review, 6, 20-35. https://upright.pub/index.php/tmr/article/view/141

Jeong, S., Jeong, Y., Lee, K., Lee, S., Yoon, B. (2016). Technology-Based New Service Idea Generation for Smart Spaces: Application of 5G Mobile Communication Technology. Sustainability, 8(11), 1211. https://doi.org/10.3390/su8111211 DOI: https://doi.org/10.3390/su8111211

Khan, M., Silva, B. N., Han, K. (2017). A Web of Things-Based Emerging Sensor Network Architecture for Smart Control Systems. Sensors, 17(2), 332. https://doi.org/10.3390/s17020332 DOI: https://doi.org/10.3390/s17020332

Khoda, M. E., Razzaque, M. A., Almogren, A., Hassan, M. M., Alamri, A. (2016). Efficient Computation Offloading Decision in Mobile Cloud Computing over 5G Network. Mobile Networks and Applications, 21(5), 777-792. https://doi.org/10.1007/s11036-016-0688-6 DOI: https://doi.org/10.1007/s11036-016-0688-6

Latif, S., Qadir, J., Farooq, S., Imran, M. A. (2017). How 5G Wireless (and Concomitant Technologies) Will Revolutionize Healthcare?. Future Internet, 9(4), 93. https://doi.org/10.3390/fi9040093 DOI: https://doi.org/10.3390/fi9040093

Li, X., Li, D., Wan, J., Vasilakos, A. V., Lai, C-f. (2017). A Review of Industrial Wireless Networks in the Context of Industry 4.0. Wireless Networks, 23(1), 23-41. https://doi.org/10.1007/s11276-015-1133-7 DOI: https://doi.org/10.1007/s11276-015-1133-7

Maddula, S. S. (2018). The Impact of AI and Reciprocal Symmetry on Organizational Culture and Leadership in the Digital Economy. Engineering International, 6(2), 201–210. https://doi.org/10.18034/ei.v6i2.703 DOI: https://doi.org/10.18034/ei.v6i2.703

Maddula, S. S., Shajahan, M. A., & Sandu, A. K. (2019). From Data to Insights: Leveraging AI and Reciprocal Symmetry for Business Intelligence. Asian Journal of Applied Science and Engineering, 8(1), 73–84. https://doi.org/10.18034/ajase.v8i1.86 DOI: https://doi.org/10.18034/ajase.v8i1.86

Mullangi, K., Maddula, S. S., Shajahan, M. A., & Sandu, A. K. (2018). Artificial Intelligence, Reciprocal Symmetry, and Customer Relationship Management: A Paradigm Shift in Business. Asian Business Review, 8(3), 183–190. https://doi.org/10.18034/abr.v8i3.704 DOI: https://doi.org/10.18034/abr.v8i3.704

Mullangi, K., Yarlagadda, V. K., Dhameliya, N., & Rodriguez, M. (2018). Integrating AI and Reciprocal Symmetry in Financial Management: A Pathway to Enhanced Decision-Making. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 42-52. https://upright.pub/index.php/ijrstp/article/view/134

Naveen, T. H., Vasanth, G. (2017). Qualitative Study of Existing Research Techniques on Wireless Mesh Network. International Journal of Advanced Computer Science and Applications, 8(3). https://doi.org/10.14569/IJACSA.2017.080308 DOI: https://doi.org/10.14569/IJACSA.2017.080308

Nizamuddin, M., Natakam, V. M., Sachani, D. K., Vennapusa, S. C. R., Addimulam, S., & Mullangi, K. (2019). The Paradox of Retail Automation: How Self-Checkout Convenience Contrasts with Loyalty to Human Cashiers. Asian Journal of Humanity, Art and Literature, 6(2), 219-232. https://doi.org/10.18034/ajhal.v6i2.751 DOI: https://doi.org/10.18034/ajhal.v6i2.751

Pydipalli, R., Anumandla, S. K. R., Dhameliya, N., Thompson, C. R., Patel, B., Vennapusa, S. C. R., Sandu, A. K., & Shajahan, M. A. (2022). Reciprocal Symmetry and the Unified Theory of Elementary Particles: Bridging Quantum Mechanics and Relativity. International Journal of Reciprocal Symmetry and Theoretical Physics, 9, 1-9. https://upright.pub/index.php/ijrstp/article/view/138

Richardson, N., Pydipalli, R., Maddula, S. S., Anumandla, S. K. R., & Vamsi Krishna Yarlagadda. (2019). Role-Based Access Control in SAS Programming: Enhancing Security and Authorization. International Journal of Reciprocal Symmetry and Theoretical Physics, 6, 31-42. https://upright.pub/index.php/ijrstp/article/view/133

Rodriguez, M., Shajahan, M. A., Sandu, A. K., Maddula, S. S., & Mullangi, K. (2021). Emergence of Reciprocal Symmetry in String Theory: Towards a Unified Framework of Fundamental Forces. International Journal of Reciprocal Symmetry and Theoretical Physics, 8, 33-40. https://upright.pub/index.php/ijrstp/article/view/136

Shajahan, M. A. (2018). Fault Tolerance and Reliability in AUTOSAR Stack Development: Redundancy and Error Handling Strategies. Technology & Management Review, 3, 27-45. https://upright.pub/index.php/tmr/article/view/126

Shajahan, M. A. (2021). Next-Generation Automotive Electronics: Advancements in Electric Vehicle Powertrain Control. Digitalization & Sustainability Review, 1(1), 71-88. https://upright.pub/index.php/dsr/article/view/135

Shajahan, M. A., Richardson, N., Dhameliya, N., Patel, B., Anumandla, S. K. R., & Yarlagadda, V. K. (2019). AUTOSAR Classic vs. AUTOSAR Adaptive: A Comparative Analysis in Stack Development. Engineering International, 7(2), 161–178. https://doi.org/10.18034/ei.v7i2.711 DOI: https://doi.org/10.18034/ei.v7i2.711

Thembelihle, D., Rossi, M., Munaretto, D. (2017). Softwarization of Mobile Network Functions towards Agile and Energy Efficient 5G Architectures: A Survey. Wireless Communications & Mobile Computing (Online), 2017. https://doi.org/10.1155/2017/8618364 DOI: https://doi.org/10.1155/2017/8618364

Vennapusa, S. C. R., Fadziso, T., Sachani, D. K., Yarlagadda, V. K., & Anumandla, S. K. R. (2018). Cryptocurrency-Based Loyalty Programs for Enhanced Customer Engagement. Technology & Management Review, 3, 46-62. https://upright.pub/index.php/tmr/article/view/137

Yarlagadda, V. K., & Pydipalli, R. (2018). Secure Programming with SAS: Mitigating Risks and Protecting Data Integrity. Engineering International, 6(2), 211–222. https://doi.org/10.18034/ei.v6i2.709 DOI: https://doi.org/10.18034/ei.v6i2.709

Ying, D., Patel, B., & Dhameliya, N. (2017). Managing Digital Transformation: The Role of Artificial Intelligence and Reciprocal Symmetry in Business. ABC Research Alert, 5(3), 67–77. https://doi.org/10.18034/ra.v5i3.659 DOI: https://doi.org/10.18034/ra.v5i3.659

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Published

2022-10-25

Issue

Section

Peer Reviewed Articles

How to Cite

Patel, B., Yarlagadda, V. K., Dhameliya, N., Mullangi, K., & Vennapusa, S. C. R. (2022). Advancements in 5G Technology: Enhancing Connectivity and Performance in Communication Engineering. Engineering International, 10(2), 117-130. https://doi.org/10.18034/ei.v10i2.715

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