Multicasting JPEG2000 images over MIMO systems

Abstract

Increasing demand for high-speed and efficient multimedia transmission over wireless networks has driven tremendous research on enhancing the performance of multimedia communications over noisy channels. Multimedia applications increasingly require efficient transmission of still and moving images over wireless channels. In response to the rapidly increasing demand of the data-rate requirements, of particular importance is the so-called Multi-Input Multi-Output (MIMO) antenna. In this paper, we simultaneously exploit spatial multiplexing, diversity, antenna selection, and Unequal Power Allocation (UPA) techniques to transmit progressive JPEG2000 images over a MIMO downlink channel where communication occurs from a multi-antenna base station to multiple multi-antenna mobile terminals. We take advantage of the spatial diversity by utilizing a joint decoding in the JPEG2000 decoder. The aim is to reduce the average distortion among users. Simulation results show that our proposed algorithms provide significant image quality improvement when compared to schemes that do not consider antenna selection or UPA.

Transmission of JPEG2000 images over frequency‐selective channels with unequal power allocation

“…propose to transmit JPEG compressed images using an UPA scheme over multiple‐input multiple‐output (MIMO) systems, where the power optimisation is performed over each transmitting block, independently from other blocks, to allocate transmit power between different streams such that the overall distortion is minimised. In [6], JPEG2000 compressed images are multicasted over a multiuser MIMO network using an UPA scheme and an antenna selection algorithm for spatial multiplexing. In [7], an UPA scheme is considered and RS codes are employed to protect the coded bitstream.…”