Optimal Cell Selection with Load Balancing and Handover Optimisation in LTE-Advanced Networks

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2022 by IJETT Journal
Volume-70 Issue-4
Year of Publication : 2022
Authors : Manoj, Sanjeev Kumar
  10.14445/22315381/IJETT-V70I4P203

MLA 

MLA Style: Manoj, and Sanjeev Kumar. "Optimal Cell Selection with Load Balancing and Handover Optimisation in LTE-Advanced Networks." International Journal of Engineering Trends and Technology, vol. 70, no. 4, Apr. 2022, pp. 21-30. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I4P203

APA Style: Manoj, & Sanjeev Kumar. (2022). Optimal Cell Selection with Load Balancing and Handover Optimisation in LTE-Advanced Networks. International Journal of Engineering Trends and Technology, 70(4), 21-30. https://doi.org/10.14445/22315381/IJETT-V70I4P203

Abstract
The handover process takes an important role in seamless connectivity in the network, Long Term Evolution Advanced (LTE-A). Due to more number participation of User types of equipment (UEs) in a cell, the performance of the handover technique is degraded. So, to solve this issue, this research work focuses on selecting the optimal target cell or evolved Node B (eNB). For optimal cell selection, MWOA is presented. In this algorithm, the target cell is chosen, derived from multi-objective functions RSRQ (Reference Signal Received Quality), RSRP (Reference Signal Received Power), and uplink SINR (Signal to Interference plus Noise Ratio). After selecting eNB, UE from the loaded cell would give up to the optimal target eNB. Simulation outcomes depict that the recital of the anticipated handover scheme improved by reducing handover failure, Call Dropping Ratio (CDR), handover ping-pong, Call Blocking Ratio (CBR), and increasing the throughput and energy efficiency. It has been observed that call blocking probability and call dropping probability is reduced by more than 17% and 1%, respectively and energy and throughput increased by more than 11% and 2%.

Keywords
Handover, HPP, HFR, LTE-A, Multi-objective Whale Optimisation Algorithm (MWOA), Optimal cell selection.

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