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On using transmission overhead efficiently for channel estimation in OFDM
(IEEE, 2010)
The limited time available for acquiring the channel state in mobile broadband wireless communication systems makes it crucial to count with channel estimation methods that attain the highest accuracy with a given preamble ...
Machine Learning-Based 5G-and-Beyond Channel Estimation for MIMO-OFDM Communication Systems
(Sensors (Basel), 2021)
Channel estimation plays a critical role in the system performance of wireless networks. In addition, deep learning has demonstrated significant improvements in enhancing the communication reliability and reducing the ...
Modified Kalman Filters for Channel Estimation in Orthogonal Space-Time Coded Systems
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2012)
Energy-efficient estimation of a MIMO channel
(2012)
Abstract
Exploiting the benefits of multiple antenna technologies is strongly conditioned on knowledge of the wireless channel that affects the transmissions. To this end, various channel estimation algorithms ...
Energy-efficient channel estimation
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
We investigate the energy-efficient channel estimation in wireless networks, where one pilot is inserted for every several data slots to estimate the channel coefficients. Both the channel state information estimation error ...
Smart green ocean underwater IoT network by ICA-based acoustic blind MIMO OFDM transceiver With analysis of acoustic channel sparsity and blind estimation efficinecy in data rate and energy consumption
Multi-Input Multi-Output (MIMO) telecommunication systems with Orthogonal Frequency Division Modulation (OFDM) scheme support high rate data exchange which can be efficiently applied to the fast-growing networks of Internet ...
Maximum-likelihood sequence estimation in dispersive optical channels
(Institute of Electrical and Electronics Engineers, 2005-02)
This paper discusses the investigation of maximum-likelihood sequence estimation (MLSE) receivers operating on intensity-modulated direct-detection optical channels. The study focuses on long-haul or metro links spanning ...
Channel state information estimation for 5G wireless communication systems: recurrent neural networks approach
(PeerJ Comput Sci, 2021)
In this study, a deep learning bidirectional long short-term memory (BiLSTM) recurrent neural network-based channel state information estimator is proposed for 5G orthogonal frequency-division multiplexing systems. The ...