DocumentCode
1951166
Title
An adaptive hybrid digital-analog modulation scheme
Author
Bin Tan ; Xinlin Huang ; Jun Wu ; Pengfei Xia
Author_Institution
Comput. Sci. & Technol. Dept., Tongji Univ., Shanghai, China
fYear
2015
fDate
12-15 July 2015
Firstpage
766
Lastpage
771
Abstract
Hybrid Digital-Analog (HDA) transmission has been proved to be an effective technique to overcome the “cliff effect” in wireless video communication. In this paper, we propose a novel HDA modulation scheme. The phase of modulation symbol is used to carry the digital signal while the amplitude of modulation symbol is used to carry analog signal. In order to make full use of channel capacity, the bit loading is utilized to adjust digital modulation order (M-PSK) based on effective channel, which is combination of channel state information (CSI) and analog signal. A SNR GAP approximate algorithm is used to implement the adaptive bit loading in OFDM system to reduce the computational complexity of bit loading. Our experimental results show that proposed HDA-MPSK modulation scheme under different SNR values can get linear effect of the image quality of reconstruction, which is much more stable. Meanwhile the adaptive bit and power allocation algorithm raise the channel capacity and bandwidth usage.
Keywords
adaptive modulation; channel capacity; computational complexity; image reconstruction; phase shift keying; video communication; wireless channels; CSI; HDA-MPSK modulation scheme; SNR GAP approximate algorithm; adaptive hybrid digital-analog modulation scheme; amplitude modulation; bit loading; channel capacity; channel state information; cliff effect; computational complexity reduction; digital modulation order; digital signal; image quality; image reconstruction; power allocation algorithm; wireless video communication; Bit rate; Channel capacity; Modulation; OFDM; Resource management; Signal to noise ratio; Wireless communication; Equivalent channel; HDA; MPSK; OFDM; SNR GAP;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal and Information Processing (ChinaSIP), 2015 IEEE China Summit and International Conference on
Conference_Location
Chengdu
Type
conf
DOI
10.1109/ChinaSIP.2015.7230508
Filename
7230508
Link To Document