Title :
Adaptive Modulation and Coding based error resilience for transmission of compressed video
Author :
Ryan Perera;Anil Fernando;Hemantha K. Arachchi;Muhammad Ali Imran
Author_Institution :
Centre for Vision Speech and Signal Processing, Department of Electronic Engineering, University of Surrey, United Kingdom
Abstract :
High spectral efficiency is at the core of any effort made to achieve the data rates and capacity requirements demanded by next generation mobile technologies. Adaptive Modulation and Coding (AMC) is considered a powerful tool for the efficient usage of spectrum and for the provision of channel adaptive error resilience. In this paper, a novel AMC based transmission scheme is introduced for Long Term Evolution-Advanced (LTE-A) networks to impose adaptive error resilience on High Efficiency Video Coding (HEVC) based video data at the physical layer. A model is proposed to rank REs at the LTE-A transmitter based on channel information. Data are allocated onto ranked REs to maximise the efficiency of the users´ allocated bandwidth while maintaining video quality. This is achieved by imposing a stronger Modulation and Coding Scheme (MCS) for data that have a high probability of being distorted, thus spanning the entire allocated bandwidth. Simulation results show that the proposed Unequal Error Protection (UEP) strategy helps to minimise the LTE-A transmitter power by up to 8dB with guaranteed video quality. In effect, this is a reduction of approximately 84% of the transmit power.
Keywords :
"Signal to noise ratio","Streaming media","Video sequences","Resource management","Modulation","Channel estimation","Resilience"
Conference_Titel :
Wireless Communications and Mobile Computing Conference (IWCMC), 2015 International
DOI :
10.1109/IWCMC.2015.7289241