TY - GEN
T1 - Channel Estimation and Pilot Signal Design Using Deep Neural Networks
T2 - 9th International Conference on Information and Communication Technology for Intelligent Systems, ICTIS 2025
AU - Ghosh, Sagnik
AU - Srikanth Kamath, H.
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
PY - 2026
Y1 - 2026
N2 - Higher data rates and reduced power consumption have become more and more necessary in recent years due to the quick development of wireless communications. The increase in the hardware complexity to implement the new performance standards poses several challenges. Moreover, mathematical models will no longer be feasible since they cannot accurately describe communication systems due to a high degree of unpredictability. AI/ML techniques have become increasingly popular as they provide elegant solutions to the problems stated above. These techniques can be used to optimize hardware use, as well as to accurately model communication systems. This paper discusses the applications of deep neural networks (DNNs) in channel estimation and pilot signal design.
AB - Higher data rates and reduced power consumption have become more and more necessary in recent years due to the quick development of wireless communications. The increase in the hardware complexity to implement the new performance standards poses several challenges. Moreover, mathematical models will no longer be feasible since they cannot accurately describe communication systems due to a high degree of unpredictability. AI/ML techniques have become increasingly popular as they provide elegant solutions to the problems stated above. These techniques can be used to optimize hardware use, as well as to accurately model communication systems. This paper discusses the applications of deep neural networks (DNNs) in channel estimation and pilot signal design.
UR - https://www.scopus.com/pages/publications/105028277317
UR - https://www.scopus.com/pages/publications/105028277317#tab=citedBy
U2 - 10.1007/978-981-96-8895-1_1
DO - 10.1007/978-981-96-8895-1_1
M3 - Conference contribution
AN - SCOPUS:105028277317
SN - 9789819688944
T3 - Lecture Notes in Networks and Systems
SP - 1
EP - 14
BT - ICT for Intelligent Systems - Proceedings of ICTIS 2025
A2 - Choudrie, Jyoti
A2 - Mahalle, Parikshit N.
A2 - Perumal, Thinagaran
A2 - Joshi, Amit
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 4 April 2025 through 6 April 2025
ER -