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Handoff in 5g Ultra Dense Networks Using Fixed Sphere Precoding
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It is anticipated that the millimetrewave, often known as mm-wave, technology that will be used in 5G networks will greatly enhance network capacity. The mm-wave signals, on the other hand, are prone to obstructions than the ones at lower bands; this demonstrates the impact that route loss has on the network coverage. Because of the fractal nature of cellular coverage and the different path loss exponents that apply to different directions, it has been suggested that a route loss model in a multi-directional manner for 5G UDN networks. This is due to the fact that different directions have path loss exponents. In addition, the proposed loss model is applied to the 5G ultra-dense network in order to calculate the coverage probability, association probability, and handoff probability (UDN). According to the numerical findings of this research, in 5G UDN, the influence of anisotropic path loss increases the association probability with long link distance. It has also come to light that the performance of the handoff suffers tremendously as a consequence of the anisotropic propagation environment. A new difficulty has arisen for 5G UDN as a consequence of the substantial handoff overhead that has been produced.
Keywords
Fractal Characteristics, Multi-Directional Path Loss, Cellular Coverage Ultra-Dense Network
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- S.A. Syed, K. Sheela Sobana Rani and V.P. Sundramurthy, “Design of Resources Allocation in 6G Cybertwin Technology using the Fuzzy Neuro Model in Healthcare Systems”, Journal of Healthcare Engineering, Vol. 2022, pp. 1-13, 2022.
- H. Luo, K. Cao and Y. Zhou, “DQN-Based Predictive Spectrum Handoff via Hybrid Priority Queuing Model”, IEEE Communications Letters, Vol. 26, No. 3, pp. 701-705, 2021.
- T. Karthikeyan and K. Praghash, “An Improved Task Allocation Scheme in Serverless Computing using Gray Wolf Optimization (GWO) based Reinforcement Learning (RIL) Approach”, Wireless Personal Communications, Vol. 117, No. 3, pp. 2403-2421, 2021.
- L. Thomas and J. Paulose, “A Survey on Various Handoff Methods in Mobile Ad Hoc Network Environment”, Proceedings of International Conference on Smart Computing Paradigms: New Progresses and Challenges, pp. 27-60, 2020.
- I. Rabet, S.P. Selvaraju and M. Bjorkman, “Poster: Particle Filter for Handoff Prediction in SDN-based IoT Networks”, Proceedings of International Conference on Wireless Networks, pp. 172-173, 2020.
- A.C. Marino and J.A. Mazer, “Saccades Trigger Predictive Updating of Attentional Topography in Area V4”, Neuron, Vol. 98, No. 2, pp. 429-438, 2018.
- S. Kunarak and R. Suleesathira, “Multi-Criteria Vertical Handoff Decision Algorithm for Overlaid Heterogeneous Mobile IP Networks”, Journal of the Franklin Institute, Vol. 357, No. 10, pp. 6321-6351, 2020.
- S.A. Patil and B.K. Singh, “Prediction of IoT Traffic using the Gated Recurrent Unit Neural Network-(GRU-NN-) based Predictive Model”, Security and Communication Networks, Vol. 2021, pp. 1-14, 2021.
- K.M. Awan and K. Rabie, “Smart Handoff Technique for Internet of Vehicles Communication using Dynamic Edge-Backup Node”, Electronics, Vol. 9, No. 3, pp. 524-534, 2020.
- S. Koley, D. Bepari and D. Mitra, “Predictive Multi-user Dynamic Spectrum Allocation Using Hidden Semi-Markov Model”, Journal of Communications Technology and Electronics, Vol. 63, No. 12, pp. 1393-1405, 2018.
- A.K. Gupta, V. Goel and M. Sain, “A Fuzzy based Handover Decision Scheme for Mobile Devices using Predictive Model”, Electronics, Vol. 10, No. 16, pp. 1-13, 2021.
- P.S. Yawada and M.T. Dong, “Intelligent Process of Spectrum Handoff/Mobility in Cognitive Radio Networks”, Journal of Electrical and Computer Engineering, Vol. 2019, pp. 1-8, 2019.
- S.H. Alsamhi and B. Lee, “Predictive Estimation of Optimal Signal Strength from Drones over IoT Frameworks in Smart Cities”, IEEE Transactions on Mobile Computing, Vol. 89, pp. 1-8, 2021.
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