Hand over in a Hybrid Visible Light Communication (Li-Fi) and RF Radio Frequency (Wi-Fi) networks using Adaptive Neuro-Fuzzy System (ANFIS)
| dc.contributor.author | Hanaa Omer Aboalgasim Omer | |
| dc.date.accessioned | 2019-01-22T10:04:55Z | |
| dc.date.available | 2019-01-22T10:04:55Z | |
| dc.date.issued | 2018 | |
| dc.description | A PROJECT SUBMITTED IN FULL FULFILLMENT FOR THE DEGREE OF DOCTOR OF PHILOSOPHY IN ELECTRICAL AND ELECTRONIC ENGINEERING | en_US |
| dc.description.abstract | ABSTRACT A hybrid LiFi/RF network where the LiFi attocell covers a few square meters, user movement may prompt frequent handovers, and the handover overhead would degrade the system throughput. The goal is to reduce the handover overhead by appropriately assigning users to either the RF or the LiFi access point (AP). This project proposes a novel adaptive neruo- fuzzy logic (ANFIS)-based decision-making algorithm for VHO, which is capable of combining the merits of both schemes to achieve excellent handover, the proposed fuzzy logic based VHO decision-making algorithm has the potential to provide lower errors and better quality of service (QoS) to users in future wireless broadband communications. The desired results of execution and implementation were reached and error value is equal 3.85e-7. | en_US |
| dc.description.sponsorship | Amin babiker A/Nabi Mustafa | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/13968 | |
| dc.language.iso | en | en_US |
| dc.publisher | Neelain University | en_US |
| dc.subject | Visible Light Communication | en_US |
| dc.title | Hand over in a Hybrid Visible Light Communication (Li-Fi) and RF Radio Frequency (Wi-Fi) networks using Adaptive Neuro-Fuzzy System (ANFIS) | en_US |
| dc.type | Thesis | en_US |