Title | Optimal resource allocation in ofdma-lte system to mitigate interference using ga rule-based mostly hbccs technique |
Publication Type | Conference Proceedings |
Year of Conference | 2020 |
Authors | Narender, K., and C. Puttamadappa |
Conference Name | 3rd International Conference on Computational Intelligence and Informatics, ICCII 2018 |
Volume | 1090 |
Pagination | 547 - 556 |
Date Published | 2020 |
Publisher | Springer |
ISBN Number | 21945357 (ISSN); 9789811514791 (ISBN) |
Keywords | Department of Electronics and Communication Engineering, Scopus |
Abstract | LTE has turned into true innovation for the 4G systems. It offers phenomenal information transmission and low dormancy for a few kinds of uses and administrations. In remote, expansive band gets to the systems, and a greater part of the indoor situations experiences genuine inclusion issue. The aim is to enhance the OFDMA-LTE execution, Genetic Algorithm (GA) and Hybrid Bee Colony and Cuckoo Search (HBCCS) strategies based Optimal Resource Allocation (RA) in OFDMA-LTE System presented. The ideal power esteems are refreshed to assign every one of the clients in the femto-cell and large-scale cell. Likewise, this enhanced streamlining procedure guarantees to uncover the relieved system framework as far as to flag the obstruction clamor proportion (SINR), ghastly proficiency, throughput and blackout likelihood (OP) over the ordinary strategies. © Springer Nature Singapore Pte Ltd. 2020. |
DOI | 10.1007/978-981-15-1480-7_46 |
Short Title | Adv. Intell. Sys. Comput. |