scholarly journals Optimum receiver design and performance analysis for wireless communication

2005 ◽  
Author(s):  
◽  
Jingxian Wu
Keyword(s):  
Performance Analysis ◽  
Wireless Communication ◽  
Channel Estimation ◽  
Discrete Time ◽  
Communication Systems ◽  
Estimation Error ◽  
Channel Estimation Error ◽  
Wireless Communication Systems ◽  
Receiver Design ◽  
Theoretical Performance

This dissertation is devoted to the optimum receiver design and theoretical performance analysis of wireless communication systems operated over fading channels, and this objective is incarnated by means of design, analysis and simulation of a broad range of wireless communication systems under various practical system configurations. A statistical discrete-time system model is proposed for wireless communication systems, and it provides a generic analysis and simulation framework for the design and evaluation of wireless communication systems. Based on the statistical properties of the discrete-time model, we next develop a multiuser channel estimation algorithm for quasi-synchronous CDMA systems operated over doubly selective Rayleigh fadings, and an optimum diversity receiver is proposed for systems with channel estimation error. Theoretical performance analyses are carried out to investigate the effects of channel estimation error, doubly selective fading, receiver timing phase offset, and co-channel interference on system performance. The theoretical performance expressions presented in this dissertation provide a set of analytical tools for communication system design and evaluation. In addition, all of the analytical results presented in this dissertation are rigorously verified through extensive numerical simulations, and excellent agreements are observed between the simulation results and theoretical expressions.

scholarly journals Channel Estimation for Large Intelligent Surface-Based Transceiver Using a Parametric Channel Model

2021 ◽  
Author(s):  
mojtaba ghermezcheshmeh ◽  
Vahid Jamali ◽  
Haris Gacanin, ◽  
Nikola zlatanov
Keyword(s):  
Wireless Communication ◽  
Channel Estimation ◽  
Communication Systems ◽  
Channel Model ◽  
Estimation Error ◽  
Computational Cost ◽  
Channel Estimation Error ◽  
Wireless Communication Systems ◽  
Physical Channel ◽  
Estimation Scheme

<div>Large intelligent surface-based transceivers (LISBTs), in which a spatially continuous surface is being used for signal transmission and reception, have emerged as a promising solution for improving the coverage and data rate of wireless communication systems. To realize these objectives, the acquisition of accurate channel state information (CSI) in LISBT-assisted wireless communication systems is crucial. In this paper, we propose a channel estimation scheme based on a parametric physical channel model for line-of-sight dominated communication in millimeter and terahertz wave bands. The proposed estimation scheme requires only five pilot signals to perfectly estimate the channel parameters assuming there is no noise at the receiver. In the presence of noise, we propose an iterative estimation algorithm that decreases the channel estimation error due to noise. The training overhead and computational cost of the proposed scheme do not scale with the number of antennas. The simulation results demonstrate that the proposed estimation scheme significantly outperforms other benchmark schemes.</div>

scholarly journals Channel Estimation for Large Intelligent Surface-Based Transceiver Using a Parametric Channel Model

2021 ◽  
Author(s):  
mojtaba ghermezcheshmeh ◽  
Vahid Jamali ◽  
Haris Gacanin, ◽  
Nikola zlatanov
Keyword(s):  
Wireless Communication ◽  
Channel Estimation ◽  
Communication Systems ◽  
Channel Model ◽  
Estimation Error ◽  
Computational Cost ◽  
Channel Estimation Error ◽  
Wireless Communication Systems ◽  
Physical Channel ◽  
Estimation Scheme

<div>Large intelligent surface-based transceivers (LISBTs), in which a spatially continuous surface is being used for signal transmission and reception, have emerged as a promising solution for improving the coverage and data rate of wireless communication systems. To realize these objectives, the acquisition of accurate channel state information (CSI) in LISBT-assisted wireless communication systems is crucial. In this paper, we propose a channel estimation scheme based on a parametric physical channel model for line-of-sight dominated communication in millimeter and terahertz wave bands. The proposed estimation scheme requires only five pilot signals to perfectly estimate the channel parameters assuming there is no noise at the receiver. In the presence of noise, we propose an iterative estimation algorithm that decreases the channel estimation error due to noise. The training overhead and computational cost of the proposed scheme do not scale with the number of antennas. The simulation results demonstrate that the proposed estimation scheme significantly outperforms other benchmark schemes.</div>

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