TETRA Enhancement Based on Adaptive Modulation

Autor: Alharith A. Abdullah, Ali R. Abood
Rok vydání: 2021
Předmět:
Zdroj: Advances in Intelligent Systems and Computing ISBN: 9789813369801
DOI: 10.1007/978-981-33-6981-8_11
Popis: Every day, millions of people place their trust in products based on Terrestrial Trunked Radio (TETRA). TETRA is a Private Mobile Radio (PMR) criteria purposed for meeting the special requirement for voice communication, which is reliable and secure communication links. The data rate’s narrowband and on-demand applications required big data rate, fast communication, and security in different environments. So, new TETRA Release introduces in this work to support novel high data rate applications which require wideband such as video streaming and adapting with cases of congestion or density of communication when special cases of application occur which they effect on link cause bottlenecks and stop services like denial of service (DoS). An adaptive TETRA system has been suggested in the selection of the advanced network based on the input of the modulation objects. As well as, based on these modulations (π/4 DQPSK, 4 QAM, 16 QAM, 64 QAM), they give us more data rate from the single module modulation-based system. All parts and techniques of the proposed work are implemented in ‘OMNET++’ tool of simulation and programming language of visual C# with visual studio. Finally, we show that our proposed work gives us more adaptation way when we use multiple modulation comparing with single modulation.
Databáze: OpenAIRE