Refine your search
Collections
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Radha Rammohan, S.
- Efficient Handoff Management in 5G Ultra Dense Networks Using Dynamic Beamforming Techniques
Abstract Views :113 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Applications, Bishop Heber College, IN
2 Institute of Computer Science and Information Science, Srinivas University, IN
3 Department of Computer Science, Accra Technical University, GH
1 Department of Computer Applications, Bishop Heber College, IN
2 Institute of Computer Science and Information Science, Srinivas University, IN
3 Department of Computer Science, Accra Technical University, GH
Source
ICTACT Journal on Communication Technology, Vol 14, No 2 (2023), Pagination: 2919-2924Abstract
The fifth-generation (5G) ultra-dense networks (UDNs) using dynamic beamforming have drawn massive attention due to their ability to increase spectral and energy efficiency. This paper explores the handoff management process for 5G UDNs with dynamic beamforming. The handoff management between any two base stations is implemented through the beam scanning mechanism based on angle of arrival and angle of departure, allowing base stations to switch seamlessly from one antenna beam to another. Utilizing the beamforming technology allows the base station to track the user location, as well as the user devices’ movements during handoff, thus providing a better user experience. The proposed handoff management for 5G UDNs with dynamic beamforming reduces handoff latency significantly, leading to an increase in efficiency. Besides, the proposed system also increases the service availability and supports connections between the base station and user through narrow beams, enabling more users to use the service at the same time. The conclusion presented in this paper is that the proposed handoff management in 5G UDNs with dynamic beamforming is an effective solution to various technical challenges associated with handoff management in wireless networks.Keywords
5G, Ultra Dense, Networks, Beamforming.
References
- W.S. Hwang and M.H. Cheng, “Adaptive Handover Decision using Fuzzy Logic for 5G Ultra-Dense Networks”, Electronics, Vol. 11, No. 20, pp. 3278-3289, 2022.
- M.A. Adedoyin and O.E. Falowo, “Combination of Ultra-Dense Networks and other 5G Enabling Technologies: A Survey”, IEEE Access, Vol. 8, pp. 22893-22932, 2020.
- S. Chen, X. Li and Z. Chen, “User-Centric Ultra-Dense Networks for 5G: Challenges, Methodologies, and Directions”, IEEE Wireless Communications, Vol. 23, No. 2, pp. 78-85, 2016.
- M. Kandasamy and A.S. Kumar, “QoS Design using Mmwave Backhaul Solution for Utilising Underutilised 5G Bandwidth in GHz Transmission”, Proceedings of International Conference on Artificial Intelligence and Smart Energy, pp. 1615-1620, 2023.
- T. Saeidi, I. Ismail, W.P. Wen, A.R. Alhawari and A. Mohammadi, “Ultra-Wideband Antennas for Wireless Communication Applications”, International Journal of Antennas and Propagation, Vol. 2019, pp. 1-12, 2019.
- L. Yang, S. Shangguan and S. Li, “Location Information Assisted Robust Beamforming Design for Ultra-Wideband Communication Systems”, Symmetry, Vol. 14, No. 6, pp. 1171-1178, 2022.
- V. Saravanan, D. Saravanan and H.P. Sultana, “Design of Deep Learning Model for Radio Resource Allocation in 5G for Massive IoT Device”, Sustainable Energy Technologies and Assessments, Vol. 56, pp. 103054-103065, 2023.
- N. Shanmugasundaram and J. Lloret, “Energy‐Efficient Resource Allocation Model for Device‐to‐Device Communication in 5G Wireless Personal Area Networks”, International Journal of Communication Systems, Vol. 21, pp. 5524-5534, 2023.
- C.A. Balanis, “Antenna Theory: Analysis and Design”, John Wiley and Sons, 2016.
- E. Hossain, D. Niyato, and Z. Han, “Dynamic Bandwidth Access in Cognitive Radio Networks”, Cambridge University Press, 2009.
- Z. Ai and H. Zhang, “A Smart Collaborative Charging Algorithm for Mobile Power Distribution in 5G Networks”, IEEE Access, Vol. 6, pp. 28668-28679, 2018.
- Y. Teng and Y. Zhang, “Resource Allocation for Ultra-Dense Networks: A Survey, Some Research Issues and Challenges”, IEEE Communications Surveys and Tutorials, Vol. 21, No. 3, pp. 2134-2168, 2018.
- C. Yang, J. Li, M. Guizani and M. Elkashlan “Advanced Bandwidth Sharing in 5G Cognitive Heterogeneous Networks”, IEEE Wireless Communications, Vol. 15, No. 2, pp. 94-101, 2016.
- Y.H. Robinson, V. Saravanan and P.E. Darney, “Enhanced Energy Proficient Encoding Algorithm for Reducing Medium Time in Wireless Networks”, Wireless Personal Communications, Vol. 119, No. 4, pp. 3569-3588, 2021.
- M.C. Chuang and M.C. Chen, “NASH: Navigation-Assisted Seamless Handover Scheme for Smart Car in Ultradense Networks”, IEEE Transactions on Vehicular Technology, Vol. 67, No. 2, pp. 1649-1659, 2017.