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MIMO-OFDM 5G Channel Estimation via MATLAB

₹600-5000 INR

Zaprt
Objavljeno pred 4 meseci

₹600-5000 INR

Plačilo ob dostavi
I'm looking for a talented specialist to develop an adaptive channel estimation solution for MIMO-OFDM communication systems. Your main task is to create a model that optimizes network performance by utilizing 5G and beyond technology. The goal is to achieve moderate estimation accuracy using 3 deep learning models (FDNN, CNN, LSTN) in MATLAB. Key Tasks: - Prioritize the LSTN model, as it's identified as potentially having the most impact on our project. - Develop models in MATLAB for visualizing the modeled channels. - Carry out performance evaluations of models to measure their effectiveness in achieving moderate estimation accuracy. Ideal skills for the role: - Advanced knowledge in MIMO-OFDM communication systems. - Working experience with 5G or advanced networks. - High proficiency in MATLAB. - Sound understanding of FDNN, CNN, LSTN, and deep learning. - A strong background in performing network performance evaluations. Your work with us will provide valuable insight into optimizing MIMO-OFDM systems, a growing field in wireless communication. We look forward to collaborating with you on this exciting project.
ID projekta: 37675986

Več o projektu

4 ponudb
Projekt na daljavo
Aktivno pred 3 meseci

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4 freelancerjev je oddalo ponudbo s povprečno vrednostjo ₹5.675 INR za to delo
Avatar uporabnika
Hello, I just saw the documents and skimmed through them. I can see that there is a Figure 1 in the research paper named "Machine Learning-Based 5G-and-Beyond Channel Estimation for MIMO-OFDM Communication Systems" which you uploaded. The idea of implementing 3 deep learning models (FDNN, CNN, LSTN) in MATLAB can be realized, but what stage are you at? Have you coded anything yet ? as you used the word "collaboration". In any case, I will compare these models in MATLAB if you ask me to do them on my own. It will be really cool if you text me and get sometime free for discussion?
₹15.500 INR v 7 dneh
4,9 (37 ocen)
4,9
4,9
Avatar uporabnika
Hi, My name is Seyed Amirreza and I'm an experienced Python developer with the necessary skills to complete your project. I am an expert in Digital Communication systems. I have done some projects related to sampling, modulation, NOMA, encoding, pulse shaping (RRC, SRRC), AWGN or Rayleigh fading channel, and receiver including Equalization (LMS, NLMS), SIC, demodulation, and matched filter of bit stream signals. I have a strong background in MIMO systems and signal processing which will be crucial for accurately estimating source localization such as Angle of Arrival (AoA) and Direction of Arrival (DoA) in the presence of multipath signals. Additionally, I have experience in implementing algorithms for AoA estimation as well as familiarity with SC-FDMA and MIMO techniques. My track record of success with similar projects is proof that I can deliver results quickly and accurately. If you're interested in hearing more about how I could help you, please don't hesitate to reach out! I can provide the requirements with minimum time and cost.
₹2.000 INR v 1 dnevu
5,0 (9 ocen)
4,9
4,9
Avatar uporabnika
Expert in Matlab, Simulink, Communication System, Signal Processing, Image Processing Artificial Intelligence. Excellent in Electrical Engg. Algorithms, OFDM, Tx, Rx, Channel, AWGN, Raleigh, PAPR, CCDF. ANN, Fuzzy, GA, PSO, ABC, ACO, MPC, BFO, Game Theory etc Already done similar work on the channel model. I can do this work. Pls send a msg to discuss further.
₹2.800 INR v 7 dneh
4,9 (23 ocen)
4,7
4,7
Avatar uporabnika
Hi, I can do it in the next few hours by working on it right now. Message me for detailed discussion. Thanks and Looking forward:). For more information, visit my profiles and reviews for assessing my credibility. You can look my freelancer.com profile in the given link. Here is my profile link: https://www.freelancer.com/u/professorxwriter Regards, Muhammad Azam
₹2.400 INR v 3 dneh
4,9 (2 ocen)
3,5
3,5

O stranki

Zastava INDIA
Chennai, India
0,0
0
Član(ica) od jan. 21, 2024

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