Efficient Space Communication and Management (SCOaM) Using Cognitive Radio Networks Based on Deep Learning Techniques: Cognitive Radio in Space Communication

Efficient Space Communication and Management (SCOaM) Using Cognitive Radio Networks Based on Deep Learning Techniques: Cognitive Radio in Space Communication

Suriya Murugan (Bannari Amman Institute of Technology, India) and Sumithra M. G. (Bannari Amman Institute of Technology, India)
DOI: 10.4018/978-1-5225-7522-1.ch004

Abstract

The future of space communications has evolved towards being cognitive in order to improve energy and spectrum efficiency. Nowadays, near-Earth space satellites for weather, civil defense, and public commercial sectors are rapidly increasing, thereby resulting in congestion. Cognitive digital radio is a form of dynamic wireless communication in which a transceiver can intelligently detect the parts of communication channels that are currently not in use and instantly move into vacant channels while avoiding occupied ones. A challenge for communication between satellites and ground terminals involves calibrating both the time and frequency channels during rapid relative movement. A more dynamic and highly-precise algorithm for enhancing communication between satellites and base station terminals such as deep learning in cognitive radios is proposed that enables significant degree of automation in the space communication networks where spectrum interference is a key issue.
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Space Communication Challenges

Demands placed on space communications systems are continuously increasing. NASA estimates that the space communications capability will need to increase nearly by a factor of 10 each for the next three decades. This trend is in step with our increasing knowledge of the cosmos -- as more detailed scientific questions arise, the ability to answer them requires ever more sophisticated instruments that generate even more data. New high-resolution hyperspectral imagers put further demands on their communications system, requiring even higher data rates.

An important challenge for deep space communications systems is to maintain their extreme reliability and versatility, in order to accommodate the long system lifetimes of most planetary missions. These challenges must be met with a communications system that requires maximum utilization of minimal available spectrum. The Space Network consists of antenna placed at three locations around the world and forms the ground segment of the communications system for space missions. These facilities are approximately 120 longitude degrees apart on Earth and provide continuous coverage and tracking for deep space missions. A large portion of deep space communications research addresses communications system engineering, radios, antennas, transmitters, signal detectors, modulation techniques, channel coding theory, data compression, and simulation.

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