Optimizing Data Transmission in 5G Networks for Low Latency and High Reliability

  • Authors

    • Dr. William Hughes Professor, Imperial College London, Uk Author
    • Marta Silva Project Manager, EDP Group, Portugal Author

    DOI:

    https://doi.org/10.67228/30715717/IJDEIC-2021PI3W9K

    Published 03-10-2021

  • 5G Networks, Data Transmission Optimization, Low Latency, High Reliability, Network Slicing, URLLC, AI-Driven Network Management, Edge Computing, Adaptive Modulation, Spectrum Efficiency

    Issue

    Vol. 4 No. 1 (2021)

    Section

    Articles

    How to Cite

    [1]
    W. Hughes and M. Silva, “Optimizing Data Transmission in 5G Networks for Low Latency and High Reliability”, IJDEIC, vol. 4, no. 1, pp. 01–10, Mar. 2021, doi: 10.67228/30715717/IJDEIC-2021PI3W9K.

  • Abstract

    The rapid advancement of wireless communication has led to the emergence of the fifth-generation (5G) network, which aims to provide ultra-reliable low-latency communication (URLLC) while ensuring high data transmission rates. Optimizing data transmission in 5G networks is critical for supporting real-time applications such as autonomous vehicles, telemedicine, industrial automation, and smart cities. This paper explores various techniques and strategies to enhance data transmission efficiency, minimize latency, and improve reliability in 5G networks. We analyze the key performance indicators (KPIs) that influence data transmission, including bandwidth utilization, network slicing, and multiple access techniques. Furthermore, we discuss the role of edge computing, artificial intelligence (AI)-driven network management, and adaptive modulation techniques in optimizing data transmission. The paper also highlights the impact of interference management, energy efficiency considerations, and security protocols on 5G network performance. We conduct a comprehensive literature survey to examine existing optimization techniques and propose an improved methodology leveraging AI-driven resource allocation and dynamic spectrum sharing. Through simulation and analytical results, we demonstrate the effectiveness of the proposed approach in reducing end-to-end latency and improving network reliability. The findings contribute to the ongoing efforts in optimizing 5G networks and lay the foundation for future research in beyond-5G (B5G) and sixth-generation (6G) communication systems.

  • References

    [1] Andrews, J. G., Buzzi, S., Choi, W., Hanly, S. V., Lozano, A., Soong, A. C. K., & Zhang, J. C., “What Will 5G Be?,” IEEE Journal on Selected Areas in Communications, vol. 32, no. 6, pp. 1065–1082, 2014.

    [2] Boccardi, F., Heath, R. W., Lozano, A., Marzetta, T. L., & Popovski, P., “Five Disruptive Technology Directions for 5G,” IEEE Communications Magazine, vol. 52, no. 2, pp. 74–80, 2014.

    [3] Wunder, G., Jung, P., Kasparick, M., et al., “5GNOW: Non-Orthogonal, Asynchronous Waveforms for Future Mobile Applications,” IEEE Communications Magazine, vol. 52, no. 2, pp. 97–105, 2014.

    [4] Dahlman, E., Parkvall, S., & Sköld, J., 4G: LTE/LTE-Advanced for Mobile Broadband, Academic Press, 2013.

    [5] Sesia, S., Toufik, I., & Baker, M., LTE – The UMTS Long Term Evolution: From Theory to Practice, Wiley, 2011.

    [6] Popovski, P., “Ultra-Reliable Communication in 5G Wireless Systems,” IEEE 1st International Conference on 5G for Ubiquitous Connectivity, 2014.

    [7] Simsek, M., Aijaz, A., Dohler, M., Sachs, J., & Fettweis, G., “5G-Enabled Tactile Internet,” IEEE Journal on Selected Areas in Communications, vol. 34, no. 3, pp. 460–473, 2016 (early concept work pre-2015 context).

    [8] Fettweis, G. P., “The Tactile Internet: Applications and Challenges,” IEEE Vehicular Technology Magazine, vol. 9, no. 1, pp. 64–70, 2014.

    [9] Bennis, M., Debbah, M., & Poor, H. V., “Ultra-Reliable and Low-Latency Wireless Communication: Tail, Risk, and Scale,” Proceedings of the IEEE, 2014 (early concepts).

    [10] Taleb, T., Samdanis, K., Mada, B., Flinck, H., Dutta, S., & Sabella, D., “On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture,” IEEE Communications Surveys & Tutorials, 2014.

    [11] Akyildiz, I. F., Gutierrez-Estevez, D. M., & Balakrishnan, R., “LTE-Advanced and the Evolution to Beyond 4G (B4G) Systems,” Physical Communication, vol. 10, pp. 31–60, 2014.

    [12] Zhang, Q., Yang, C., & Molisch, A. F., “Downlink Base Station Cooperation with Limited Backhaul,” EURASIP Journal on Advances in Signal Processing, 2009.

    [13] Andrews, J. G., Claussen, H., Dohler, M., Rangan, S., & Reed, M. C., “Femtocells: Past, Present, and Future,” IEEE Journal on Selected Areas in Communications, vol. 30, no. 3, pp. 497–508, 2012.

    [14] Parkvall, S., Dahlman, E., Furuskär, A., & Frenne, M., “NR: The New 5G Radio Access Technology,” IEEE Communications Standards Magazine, early concepts discussed pre-2015 evolution.

    [15] Li, X., Chen, X., & Liu, J., “Latency-Aware Resource Allocation for LTE Networks,” IEEE Wireless Communications Letters, vol. 3, no. 3, pp. 233–236, 2014.

  • Downloads