Title :
Robust uncoded video transmission over wireless fast fading channel
Author :
Hao Cui ; Chong Luo ; Chang Wen Chen ; Feng Wu
Author_Institution :
EEIS, USTC, China
fDate :
April 27 2014-May 2 2014
Abstract :
This research studies robust uncoded video transmission over wireless fast fading channel, where only statistical channel state information (CSI) is available at the transmitter. We observe that increasing channel diversity for high priority (HP) data is essential to improving the robustness of video transmission in fading channels. By utilizing the noise and loss resilient nature of video, we find it possible to design a more robust system by re-allocating the power and channel uses among HP and LP (low priority) data. With total power and channel use constraints, we derive an optimal resource allocation scheme under the squared error distortion criterion. In particular, we first propose a new power allocation algorithm at given channel allocation. Second, based on the proposed power allocation algorithm, we design a channel allocation algorithm to strike the tradeoff between the diversity increase of HP data and the information loss of LP data. Third, under known noise power distribution, we derive the optimal resource allocation for uncoded video multicast. Simulations show that the proposed system achieves 2dB and 5dB gain in average and outage PSNR over Softcast in video unicast, and around 1.4dB and 4dB gain in multicast.
Keywords :
channel allocation; fading channels; resource allocation; statistical analysis; video communication; CSI; HP data; LP data; PSNR; Softcast; channel allocation algorithm; channel use constraints; gain 2 dB; gain 5 dB; high priority data; information loss; low priority data; noise power distribution; optimal resource allocation scheme; power allocation algorithm; robust uncoded video transmission; squared error distortion criterion; statistical channel state information; total power constraints; transmitter; uncoded video multicast transmission; wireless fast fading channel; Channel allocation; Conferences; Discrete cosine transforms; Noise; Rayleigh channels; Resource management;
Conference_Titel :
INFOCOM, 2014 Proceedings IEEE
Conference_Location :
Toronto, ON
DOI :
10.1109/INFOCOM.2014.6847926