Optimized MSE Analysis of Maximum Power Adaptation with Code Rates over Wireless Cropped Image Transmission using Labview

M. Padmaja; Dr. P. Satyanarayana; K. Prasuna

Coding plays significant role in wireless transmission as the most important scheme for communication of cropped images over wireless channels, due to its ability to deal with various channel qualities and to approach the hypothetical limits of transmission rates. In this paper, Maximum Power Adaptation Algorithm is implemented along with convolution codes for different rates. This Proposed method shows better performance compared to Conventional Power Adaptation Algorithm combined with convolution codes for different rates. The proposed scheme works iteratively to find the optimal combination of coding and power transmitted for individual bits to minimize the mean square error for better cropped image excellence. It is shown that bits of major importance i.e most significant bits should always be coded and allocated most of the power transmitted. However, other bits of less significance may be transmitted with less power. This is done while maintaining the average power per bit at the same level. Code rate ½ showed better performance compared with other codes.

Select Volume / Issues:

• Volume 3 Issue 5, Sept. 2012

Year:

2012

Type of Publication:

Article

Keywords:

Convolution Codes; Code Rate; maximum

Journal:

IJECCE

Volume:

3

Number:

5

Pages:

1290-1294

Month:

Sept.