Real-time error protection of embedded codes for packet erasure and fading channels

Stankovic, Vladimir; Hamzaoui, Raouf; Xiong, Zixiang

doi:10.1109/tcsvt.2004.831964

Cited by 61 publications

(60 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There have been several works proposed to reduce the computational complexity of MD-FEC. We adopt the fast local search method [39] with complexity as in this work. To decode the coded video packets generated by the MD-FEC framework, the RS decoder located at each client terminal needs to know the configuration of RS code used in each segment.…”

Section: Application Layer Fecmentioning

confidence: 99%

Joint Uplink and Downlink Optimization for Real-Time Multiuser Video Streaming Over WLANs

Han

et al. 2007

IEEE J. Sel. Top. Signal Process.

View full text Add to dashboard Cite

Abstract-In this paper, a network-aware and source-aware video streaming system is proposed to support interactive multiuser communications within single-cell and multicell IEEE 802.11 networks. Unlike the traditional streaming video services, the strict delay constraints of an interactive video streaming system pose more challenges. These challenges include the heterogeneity of uplink and downlink channel conditions experienced by different users, the multiuser resource allocation of limited radio resources, the incorporation of the cross-layer design, and the diversity of content complexities exhibited by different video sequences. With the awareness of video content and network resources, the proposed system integrates cross-layer error protection mechanism and performs dynamic resource allocation across multiple users. We formulate the proposed system as to minimize the maximal end-to-end expected distortion received by all users, subject to maximal transmission power and delay constraints. To reduce the high dimensionality of the search space, fast multiuser algorithms are proposed to find the near-optimal solutions. Compared to the strategy without dynamically and jointly allocating bandwidth resource for uplinks and downlinks, the proposed framework outperforms by 2.18 7.95 dB in terms of the average received PSNR of all users and by 3.82 11.50 dB in terms of the lowest received PSNR among all users. Furthermore, the proposed scheme can provide more uniform video quality for all users and lower quality fluctuation for each received video sequence.Index Terms-Cross-layer design, joint uplink and downlink optimization, multiuser video communication, network-aware, wireless local area networks.

show abstract

Section: Application Layer Fecmentioning

confidence: 99%

Joint Uplink and Downlink Optimization for Real-Time Multiuser Video Streaming Over WLANs

Han

et al. 2007

IEEE J. Sel. Top. Signal Process.

View full text Add to dashboard Cite

show abstract

“…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

Yousefi'zadeh

Jafarkhani

Etemadi

2008

IEEE J. Sel. Top. Signal Process.

View full text Add to dashboard 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.

show abstract

“…Efficient algorithms for finding optimal rate-based solutions exist [19] and optimal distortionbased solutions can be found in certain scenarios. In the case of a packet erasure channel, distortion-based solutions exist that are optimal for general sources [23] and for sources with convex D-R curves [24], and it has been shown that an optimal rate-based solution is essentially an equally protected system [15]. In the case of a random bit-error channel and a source with an exponential D-R curve, efficient and optimal distortion minimization is possible [21].…”

Section: Introductionmentioning

confidence: 99%

“…Numerous other techniques can be found in the above references that find locally-optimal or suboptimal solutions with varying degrees of complexity. Efficient search algorithms have also been introduced that perform very close to the optimal solution [15], [22]. Error resilient techniques based on independently decodable packets and estimation of lost source symbols have also been introduced and combined with forward error correction for robust transmission of embedded bitstreams [12], [13].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Efficient Progressive Bitstream Transmission System for Hybrid Channels With Memory

Etemadi¹,

Jafarkhani²

2006

IEEE Trans. Multimedia

View full text Add to dashboard Cite

Abstract-We consider progressive transmission over a hybrid channel introducing bit errors and packet erasures. The existing solutions are analyzed and extended to the case of a channel that exhibits memory on both bit errors and packet erasures. We then propose a simple, low-complexity coding scheme that transforms the hybrid channel into a channel with a single impairment for which various optimization techniques exist. Both rate-based and distortion-based optimization problems are investigated. It is shown that our proposed solution has lower channel coding and rate-distortion optimization complexities compared to the known solutions. Simulation results for channels with and without memory show the effectiveness of our proposed solution over a wide range of operating conditions. Numerical results also indicate that the rate-based solution of our proposed algorithm is very close to the corresponding distortion-based solution.

show abstract

Real-time error protection of embedded codes for packet erasure and fading channels

Cited by 61 publications

References 22 publications

Joint Uplink and Downlink Optimization for Real-Time Multiuser Video Streaming Over WLANs

Joint Uplink and Downlink Optimization for Real-Time Multiuser Video Streaming Over WLANs

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

An Efficient Progressive Bitstream Transmission System for Hybrid Channels With Memory

Contact Info

Product

Resources

About