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Chapitre D'ouvrage Année : 2016

Optimized scalable image and video transmission for mimo wireless channels

Résumé

In this chapter, we focus on proposing new strategies to efficiently transfer a compressed image/video content through wireless links using a multiple antenna technology. The proposed solutions can be considered as application layer physical layer (APP-PHY) cross layer design methods as they involve optimizing both application and physical layers. After a wide state-of-the-art study, we present two main solutions. The first focuses on using a new precoding algorithm that takes into account the image/video content structure when assigning transmission powers. We showed that its results are better than the existing conventional precoders. Second, a link adaptation process is integrated to efficiently assign coding parameters as a function of the channel state. Simulations over a realistic channel environment show that the link adaptation activates a dynamic process that results in a good image/video reconstruction quality even if the channel is varying. Finally, we incorporated soft decoding algorithms at the receiver side, and we showed that they could induce further improvements. In fact, almost 5 dB peak signal-to-noise ratio (PSNR) improvements are demonstrated in the case of transmission over a Rayleigh channel.

Dates et versions

hal-01443847 , version 1 (23-01-2017)

Identifiants

Citer

Amin Zribi, Clency Perrine, Yannis Pousset. Optimized scalable image and video transmission for mimo wireless channels. Recent Advances in Image and Video Coding, InTech, 2016, 978-953-51-2776-5. ⟨10.5772/64924⟩. ⟨hal-01443847⟩
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