An Efficient Progressive Bitstream Transmission System for Hybrid Channels With Memory

IEEE J. Select. Areas Commun.

Jafarkhani

2010

Self Cite

Abstract-We identify an analytical expression for the distortion of a scalable video bitstream containing a Base Layer (BL) and one or more Enhancement Layer (EL) bitstreams. Considering the different priority of BL and EL, we adopt our distortion expression for each of these bitstreams separately. Utilizing these distortion models, we propose a pair of low complexity Unequal Error Protection (UEP) methods for transmitting these bitstreams over a tandem channel. These onedimensional Forward Error Correction (FEC) coding schemes, protect each bitstream against both bit errors caused by fading and packet erasures caused by network buffering. They also combat temporally correlated loss effects observed over tandem channels by using optimal symbol interleaving. We evaluate the performance of our proposed schemes by comparing their results against those of Equal Error Protection (EEP) and those of a number of UEP methods as well. We illustrate the performance advantage of our schemes over other schemes for different available budgets and channel conditions.

Section: ) Modified Expected Distortion Modelmentioning

confidence: 99%

Section: ) Modified Expected Distortion Modelmentioning

confidence: 99%

Section: ) Modified Expected Distortion Modelmentioning

confidence: 99%

See 1 more Smart Citation

Distortion optimal transmission of multi-layered FGS video over wireless channels

Nejati

IEEE J. Select. Areas Commun.

Jafarkhani

2010

Self Cite

“…One can notice that the papers cited above consider either the existence of packet loss caused by network buffering overflow or bit errors introduced by the fading wireless links but not both packet loss and bit errors. In addition, they mostly model packet loss and bit errors by a simple Bernoulli model which does not accurately capture the temporally correlated characteristic of loss observed over wireless networks [8], [22].…”

Section: Introductionmentioning

confidence: 99%

Optimal Audio Transmission Over Error-Prone Wireless Links

Khalifeh

2010

IEEE Trans. Multimedia

Abstract-In this paper, we present an optimization framework for transmitting high quality audio sequences over error-prone wireless links. Our framework introduces apparatus and technique to optimally protect a stored audio sequence transmitted over a wireless link while considering the packetization overhead of audio frames. Utilizing rate compatible punctured RS codes and dynamic programming, it identifies the optimal assignment of parity to audio frames according to their perceptual importance such that the Segmented SNR of the received audio sequence is maximized. Our framework covers two cases. In the first case, a frame grouping technique is proposed to packetize audio frames and protect them against temporarily correlated bit errors introduced by a fading wireless channel. In this case, each packet is treated as a channel coding codeword. In the second case, a one-dimensional RS coder is applied vertically to a sequence of horizontally formed packets associated with an audio sequence in order to protect the sequence against both bit errors introduced by fading wireless channels and packet erasures introduced by network buffering. Our numerical results capture the performance advantage of our framework compared to existing techniques proposed in the literature of audio transmission. We also note that our framework can be generically applied to a variety of audio coders making it attractive in terms of implementation.

“…Although the framework of this paper may resemble the works of [13], [28], [29], [38], [42] from the standpoint of considering transmission over channels with bit errors and packet erasures, it has to be noted that those articles consider neither the effects of embedding multiple antennas within an optimization problem nor the effects of using feedback for image delivery. Thus, this paper attempts at analyzing and quantifying performance improvements of end-to-end image delivery systems over wireless tandem channels as the result of utilizing multiple antennas as well as multiple round feedback transmissions.…”

Section: Introductionmentioning

confidence: 99%

Transmission of Progressive Images Over Noisy Channels: An End-to-End Statistical Optimization Framework

IEEE J. Sel. Top. Signal Process.

Jafarkhani

Etemadi

2008

Self Cite

Abstract-We present a statistical optimization framework for solving the end-to-end problem of multiple antenna transmission of progressive images over noisy channels. Such channels exhibit temporally correlated loss characteristics and are associated with wireless communication links. In our study, we protect the progressive bitstream associated with an image source utilizing a family of rate compatible punctured Reed-Solomon (RS) product codes along with receiver feedback. We consider the impacts of transmission bit errors as well as packet erasures. To cope with the impact of random bit errors, we formulate an optimization problem aimed at minimizing the end-to-end expected distortion of a reconstructed image subject to rate and efficiency constraints. In order to eliminate the impact of packet erasures, we propose utilizing an algorithm that is capable of statistically guaranteeing the delivery of a number of packet sets associated with a progressive bitstream. Our experiments capture the effects of embedding multiple antennas in the transmission of progressive images over wireless tandem channels. Under identical power constraints, our results show that increasing the number of antennas on either transmitting or receiving sides improves the quality of a reconstructed image. Further, the use of receive diversity used in conjunction with simple communication coding schemes such as Maximum Ration Combining (MRC) yields more improvements than the use of transmit diversity used in conjunction with comparable communication coding schemes such as Space-Time Block Code (STBC). Finally, the use of receiver feedback can further improve the quality of an image reconstructed in the absence of feedback.Index Terms-Multiple antennas, packet erasure, progressive transmission of images, random bit error, temporally correlated loss.