TY - GEN
T1 - Reducing interferences in wireless communication systems by mobile agents with recurrent neural networks-based adaptive channel equalization
AU - Beritelli, Francesco
AU - Capizzi, Giacomo
AU - Lo Sciuto, Grazia
AU - Napoli, Christian
AU - Tramontana, Emiliano
AU - Wozniak, Marcin
N1 - Publisher Copyright:
© 2015 SPIE.
PY - 2015
Y1 - 2015
N2 - Solving channel equalization problem in communication systems is based on adaptive filtering algorithms. Today, Mobile Agents (MAs) with Recurrent Neural Networks (RNNs) can be also adopted for effective interference reduction in modern wireless communication systems (WCSs). In this paper MAs with RNNs are proposed as novel computing algorithms for reducing interferences in WCSs performing an adaptive channel equalization. The method to provide it is so called MAs-RNNs. We perform the implementation of this new paradigm for interferences reduction. Simulations results and evaluations demonstrates the effectiveness of this approach and as better transmission performance in wireless communication network can be achieved by using the MAs-RNNs based adaptive filtering algorithm.
AB - Solving channel equalization problem in communication systems is based on adaptive filtering algorithms. Today, Mobile Agents (MAs) with Recurrent Neural Networks (RNNs) can be also adopted for effective interference reduction in modern wireless communication systems (WCSs). In this paper MAs with RNNs are proposed as novel computing algorithms for reducing interferences in WCSs performing an adaptive channel equalization. The method to provide it is so called MAs-RNNs. We perform the implementation of this new paradigm for interferences reduction. Simulations results and evaluations demonstrates the effectiveness of this approach and as better transmission performance in wireless communication network can be achieved by using the MAs-RNNs based adaptive filtering algorithm.
KW - Channel equalization
KW - Interferences reduction
KW - Mobile Agents
KW - Recurrent Neural Networks
KW - Wireless communication systems
UR - https://www.scopus.com/pages/publications/84951335322
U2 - 10.1117/12.2197587
DO - 10.1117/12.2197587
M3 - Conference contribution
AN - SCOPUS:84951335322
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015
A2 - Romaniuk, Ryszard S.
A2 - Romaniuk, Ryszard S.
PB - SPIE
T2 - Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015
Y2 - 25 May 2015 through 31 May 2015
ER -