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SPECTRAL EFFICIENCY OF OFDM SYSTEMS WITH RANDOM RESIDUAL CFO
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SPECTRAL EFFICIENCY OF OFDM SYSTEMS WITH RANDOM RESIDUAL CFO

Category : Communication


Sub Category : OFDM


Project Code : ITCM07


Project Abstract

Orthogonal frequency division multiplexing (OFDM) over wireless channels is sensitive to carrier frequency offset (CFO), which destroys orthogonality amongst subcarriers giving rise to inter-carrier interference (ICI). Different techniques are available for estimating and compensating for the CFO at the receiver. However, in practice, a residual CFO remains at the receiver after CFO estimation, where the estimation accuracy depends primarily on the fractions of time and power used by the estimator. In this paper we propose to measure the efficiency of OFDM systems with CFO estimation errors in terms of the spectral efficiency, which accounts for both, the degradation in signal-to-interference plus noise ratio (SINR) due to the residual CFO, and the penalty of the extra power and spectral resources allocated to achieve the desired CFO estimation accuracy. New accurate expressions are derived for the spectral efficiency of wireless OFDM systems in the presence of residual CFO and frequency-selective multipath fading channel. These are used to compare between two common CFO estimation methods in wireless OFDM systems, namely, the cyclic prefix based and the training symbols based CFO estimation techniques for fixed and variable pilot power These results are further extended to include OFDM systems with transmit diversity techniques. In addition, the impact of imperfect channel estimation on the overall spectral efficiency is also included. Numerical results reveal that the cyclic prefix based CFO technique is more efficient than the training symbols based CFO technique when perfect channel state information (CSI) is known blindly at the receiver. Furthermore, fixed pilot power results in a spectral efficiency ceiling as SNR increases, whereas spectral efficiency increases with SNR without bound in the equal pilot and signal powers case.

EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT

we average the conditional BER over the fading statistics. Our analysis shows that the BER for an uncoded OFDM system with quadrature amplitude modulation (QAM) can be obtained as the sum of a few integrals, whose number depends on the constellation size. Each integral can be computed by numerical techniques, or, in Rayleigh fading, replaced by a series expansion that involves generalized hypergeometric functions.

PROPOSED CONCEPT

Here, each estimator variance depends on the training sequence size and the pilot power. In this paper, variable and fixed pilot power are considered. When the pilot power equals the signal power, the estimator accuracy improves as SNR increases.

 

assuming that the pilot power is fixed regardless of the signal power. This assumption is commonly used when no explicit expression is available for the estimator variance.

EXISTING TECHNIQUE:

Non-random CFO

PROPOSED TECHNIQUE:

Cyclic prefix based CFO technique

Training symbols based CFO

Fixed and equal pilot power.

TECHNIQUE DEFINITION:

It is common in most previous research to measure the performance degradation due to non-random CFO in terms ofthe average signal-to-interference plus noise ratio (SINR).

 

TECHNIQUE DEFINITION:

Taking into account accurate statistical models for the ICI, new exact expressions for the spectral efficiency of OFDM systems in the presence of residual CFO.

DRAWBACKS

Performance degradation due to non-random CFO in terms of the average signal-to-interference plus noise ratio (SINR).

ADVANTAGES

spectral efficiency increases with SNR without bound.

 


 
 
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