Packet-Level Channel Model for Wireless OFDM Systems

2007 ◽  
Author(s):  
Ruonan Zhang ◽  
Lin Cai
Keyword(s):  
Channel Model ◽  
Ofdm Systems

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 Impact of Inter-Channel Interference on Shallow Underwater Acoustic OFDM Systems

2020 ◽  
Vol 2020 (1) ◽  
pp. 42-49
Author(s):  
Tiến Hoa Nguyễn ◽  
Việt Hà Đỗ ◽  
Văn Đức Nguyễn
Keyword(s):  
Simulation Model ◽  
Channel Capacity ◽  
Orthogonal Frequency Division Multiplexing ◽  
Channel Model ◽  
Wide Band ◽  
Frequency Division ◽  
Ofdm Systems ◽  
Underwater Acoustic ◽  
Channel Interference ◽  
Wide Band Transmission

This paper investigates the impacts of Inter-Channel Interference (ICI) effects on a shallow underwater acoustic (UWA) orthogonal frequency-division multiplexing (OFDM) communication system. Considering both the turbulence of the water surface and the roughness of the bottom, a stochastic geometry-based channel model utilized for a wide-band transmission scenario has been exploited to derive a simulation model. Since the system bandwidth and the sub-carrier spacing is very limited in the range of a few kHz, the channel capacity of a UWA system is severely suffered by the ICI and Doppler effects. For further investigation, we construct the signal-to-noise-plus-interference ratio (SINR) based on the simulation model, then evaluate the channel capacity. Numerical results show that the various factors of a UWA-OFDM system as subcarriers, bandwidth, and OFDM symbols affects the channel capacity under the different Doppler frequencies. Those observations give hints to select the good parameters for UWA-OFDM systems.

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