An Extended Channel Estimation Technique for Cognitive Radio

An Extended Channel Estimation Technique for Cognitive Radio

Suresh Babu KolluruSrikanth Vemuru

Department of CSE, KL University, Vaddeswaram, Vijayawada 522502, Andhra Pradesh, India

Corresponding Author Email: 
suresh11.kolluru@gmail.com
Page: 
119-122
|
DOI: 
https://doi.org/10.18280/ama_b.610302
Received: 
12 July 2018
|
Accepted: 
30 August 2018
|
Published: 
30 September 2018
| Citation

OPEN ACCESS

Abstract: 

Cognitive radio has lot a technical issues and channel estimation is one of them. The amount of data which could be transferred via channel in a provided time interval is referred as channel estimation. A lot of previous techniques like Least Square (LS), Discrete Fourier Transformation (DFT) has played vital roles in order to optimize the same. This paper introduces the usage of AI (Artificial Intelligence) in combination with Swam Intelligence to optimize the channel estimation. The evaluation is made on the base of Bit Error Rate (BER) and Mean square Error (MSE).

Keywords: 

cognitive radio, channel estimation, artificial intelligence, swarm intelligence

1. Introduction
2. Related Work
3. Proposed Work
4. Results
5. Conclusion
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