LTE and LTE-A Handover Simulation by Omnet++ or Matlab Simulink

hi how are you i have good experience in this field and i can do your work in best possible way...Kindly text me so that we can further discuss the work thanks

Dear Sir, Iam a communication engineer expert in matlab, I think i can help you with your project. will wait for more details. Have a good day Best Regards Hany Aly

Hello, I can do your project 100%. I can do this project. I am working on many field wireless technologies such as Cognitive radio, WSN, MANET, VANET, Ad-Hoc networks, LTE, Standard Protocol, wireless sensor network, routing protocol and many more. I am a certified professional of CISCO, OPNET, MATLAB and NS2 simulator. I am expert in Network Simulator (NS2/3), LTESIM, LABVIEW, Oment++ and OPNET. I have done no of the project on Network Simulator (NS2/3), LTESIM, Oment++, OPNET, PYTHON, and OPENCV. I have done many projects based on Image Processing, Speech & Pattern reorganization, Signal Processing, wireless sensor network, routing protocol, electrical & electronics engineering, communication system and implement mathematical Algorithm in C/C++ and Matlab language.

I am electrical engineer .I have lot of experience working with various employers globally. Can I do Circuit Analysis and design, Power System Analysis,DC/AC machines Electrical Distribution , translation and technical writer .i use Autocad,Matlab,Revit,Plc simulator, Pspice,word and excel.

First:- Chatbot --> This can be integrated by any Facebook page, Slack etc. Its main aim is to reduce the human effort. For example, if this Chatbot is integrated with company page so it can easily answer you some basic questions about the company. Second:- Word Predictor --> This will be integrated with my Chatbot and it's an algorithm is such that it will learn according to previous input given and then It will suggest the next question and next word accordingly. Third:- Comment Checker --> This has a huge set of words inbuilt with its degree and level and it will analyze each comment and according to that it can give the report or if any inappropriate comment is taken it can forward to the authority. Speech Recognisation Train the database using deep learning, doing language model and lexical model for Arabic , adding functions to increase different types of noise at different levels as the picture shows. Then we notice the results.