Packet splitting and adaptive modulation based on CSI of time domain for decode-and-forward cooperative OFDM systems in different channel model

2017 ◽  
Vol 31 (2) ◽  
pp. e3451
Author(s):  
Yuta Ida ◽  
Takahiro Matsumoto ◽  
Shinya Matsufuji
Keyword(s):  
Time Domain ◽  
Channel Model ◽  
Adaptive Modulation ◽  
Ofdm Systems ◽  
Decode And Forward

scholarly journals Adaptive Prediction of Channels with Sparse Features in OFDM Systems

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Changwei Lv ◽  
Shujuan Hou ◽  
Wenbo Mei
Keyword(s):  
Time Domain ◽  
Orthogonal Frequency Division Multiplexing ◽  
Channel Model ◽  
Prediction Method ◽  
Frequency Domain Method ◽  
Ofdm Systems ◽  
Physical Channel ◽  
The Time Domain ◽  
Sparse Features ◽  
Sparse Channel

A time domain channel prediction method exploiting features of sparse channel is proposed for orthogonal frequency division multiplexing (OFDM) systems. The proposed predictor operates in the time domain on each channel tap and separates the negligible taps from significant channel taps before performing prediction. We also compare the proposed prediction method with the classical frequency domain method realized at each OFDM subcarrier and demonstrate that our method increases the prediction accuracy and reduces the computational complexity. Simulations on the physical channel model verify the performance of the proposed method.

scholarly journals Sparse Channel Estimation for DCO-OFDM VLC Systems in the Presence of Clipping Noise

2021 ◽  
Author(s):  
Ekin Basak Bektas ◽  
Erdal Panayirci
Keyword(s):  
Channel Estimation ◽  
Time Domain ◽  
Orthogonal Frequency Division Multiplexing ◽  
Channel Model ◽  
Estimation Algorithm ◽  
Visible Light Communications ◽  
Ofdm Systems ◽  
Noise Mitigation ◽  
The Time Domain ◽  
Sparse Channel

Abstract In this paper, a new iterative channel estimation algorithm is proposed that exploits channel sparsity in the time domain for DC-biased optical orthogonal frequency division multiplexing OFDM (DCO-OFDM) systems in indoor visible light communications (VLC) in the presence of a clipping noise. A path-based channel model is used, in which the channel is described by a limited number of paths, each characterized by a delay and channel gain. Making use of the pilot symbols, overall sparse channel tap delays and path gains were initially estimated by the compressed sensing approach, in the form of the Orthogonal Matching Pursuit (OMP) and the least-squares (LS) algorithms, respectively. Then a computationally efficient and novel iterative channel estimation algorithm is developed that estimates the clipping noise in the time-domain and compensated for its effect in the frequency-domain. Computer simulation results show that the algorithm converges in maximum two iterations and that yields excellent mean square error (MSE) and bit error rate (BER) performance, outperforming those channel estimation algorithms, which do not have the clipping noise mitigation capability.

Time domain cyclic selective mapping for PAPR reduction in MIMO-OFDM systems

2018 ◽  
Author(s):  
Panca Dewi Pamungkasari ◽  
Ilmiawan Shubhi ◽  
Filbert H. Juwono ◽  
Prita Dewi Mariyam ◽  
Dadang Gunawan
Keyword(s):  
Time Domain ◽  
Papr Reduction ◽  
Ofdm Systems ◽  
Mimo Ofdm ◽  
Selective Mapping

scholarly journals Time Domain Channel Model for the THz Band

2019 ◽  
Author(s):  
Kazuhiro Tsujimura ◽  
Kenta Umebayashi ◽  
Joonas Kokkoniemi ◽  
Janne Lehtomaki
Keyword(s):  
Time Domain ◽  
Channel Model

Time-Domain Estimation of Time-Varying Channels in OFDM Systems

2010 ◽  
Vol E93-B (1) ◽  
pp. 154-157
Author(s):  
Shaoping CHEN ◽  
Guangfa DAI ◽  
Wengui RAO
Keyword(s):  
Time Domain ◽  
Time Varying ◽  
Ofdm Systems ◽  
Estimation Of Time ◽  
Time Varying Channels
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