A Novel UEP Fountain Coding Scheme for Scalable Multimedia Transmission

Yuan, Lei; Li, Huaan

doi:10.1109/tmm.2016.2557079

Cited by 15 publications

(9 citation statements)

References 32 publications

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“…We further simulate the symbol error rate (SER) and frame error rate (FER) of WZ‐UEP1 code using

K=4000

\theta _{max}^{(1)}=5

. For comparison, we also simulate the UEP fountain code in [30] which precodes the MIS with a (3,6)‐regular LDPC code of

R_1=0.5

and the LIS with a (3,30)‐regular LDPC of

R_2=0.9

. We name it as “UEP‐code1”.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Also, our WZ‐UEP1 code outperforms the UEP‐code1 in terms of SER and FER performance. In Figure 8, we redraw the SER/FER curves of another UEP fountain code in [30] (denoted here as “UEP‐code2”) which uses

\Omega _1(x)=0.1448 x + (1.0-0.1448)x^2

as the degree distribution of the encoded symbols. The UEP‐code2 pre‐codes the MIS with a

R_1=0.5 (\lambda _1, \rho _1)

‐irregular LDPC code and the LIS with a

R_2=0.9 (3,30)

‐regular LDPC code, where

\lambda ^{(1)}(x)=0.409x + 0.202x^2+0.0768x^3+0.1971x^6+0.1151x^7

and

\rho ^{(1)}(x) = x^5

.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…By using a weighted strategy, the UEP fountain code in [29] achieves a lower BER compared with the method in [23]. In [30], duplication strategy and pre‐coding by low‐density parity‐check (LDPC) codes are used to enhance the UEP property. It has been found that the lower‐degree encoded symbols are most likely to crop incident edges and recover their neighbored input symbols.…”

Section: Introductionmentioning

confidence: 99%

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Weighted zigzag decodable fountain codes for unequal error protection

et al. 2022

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“…We further simulate the symbol error rate (SER) and frame error rate (FER) of WZ‐UEP1 code using

K=4000

\theta _{max}^{(1)}=5

. For comparison, we also simulate the UEP fountain code in [30] which precodes the MIS with a (3,6)‐regular LDPC code of

R_1=0.5

and the LIS with a (3,30)‐regular LDPC of

R_2=0.9

. We name it as “UEP‐code1”.…”

Section: Simulation Resultsmentioning

confidence: 99%

\Omega _1(x)=0.1448 x + (1.0-0.1448)x^2

as the degree distribution of the encoded symbols. The UEP‐code2 pre‐codes the MIS with a

R_1=0.5 (\lambda _1, \rho _1)

‐irregular LDPC code and the LIS with a

R_2=0.9 (3,30)

‐regular LDPC code, where

\lambda ^{(1)}(x)=0.409x + 0.202x^2+0.0768x^3+0.1971x^6+0.1151x^7

and

\rho ^{(1)}(x) = x^5

.…”

Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Weighted zigzag decodable fountain codes for unequal error protection

et al. 2022

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“…In [14], LDPC codes that are suitable for UEP are constructed. In [15], information symbols are protected unequally using fountain codes, whereas in [16] an efficient scheme is proposed to construct fountain codes with UEP property. In [17], a UEP scheme based on rateless spinal code is proposed.…”

Section: Introductionmentioning

confidence: 99%

Cross-layer unequal error protection using 64-HQAM and RCPT codes for robust image communication

2021

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In unequal error protection (UEP) schemes, the bits are protected according to their significance in terms of distortion reduction capability during the reconstruction process. The conventional UEP schemes are primarily designed either using forward error correction at application layer of network architecture, or hierarchical modulation at the physical layer. In this paper, an optimized cross-layer UEP scheme for set partitioning in hierarchical trees coded images is investigated. The proposed scheme uses rate compatible punctured turbo codes at application layer and two-layered 64-hierarchical QAM (64-HQAM) at physical layer. Simulation results show that proposed cross-layer UEP performs slightly better than application layer’s optimized turbo coding for additive white Gaussian noise channel but performs significantly better in flat Rayleigh fading channel, specifically under poor channel conditions. The proposed scheme is highly bandwidth efficient having the robustness performance close to that of the scheme using hierarchical 4-PAM (H 4-PAM). Complexity analysis of the proposed solution has been carried out.

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“…The high-complexity classical robust solution distribution scheme was proposed in article [9] by low constant average degree distributions with high intermediate symbol recovery rates. In article [10], the scheduling of multimedia transmissions over drive-thru Internet was investigated to support multimedia services for people on the road.…”

Section: Introductionmentioning

confidence: 99%

Multimedia Big Data Frame Combination Storage Strategy Based on Virtual Space Distortion

Luo¹

2017

Int. J. Onl. Eng.

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Abstract-Aiming at the transmission reliability and storage management of multimedia data, the multimedia big data frame combination storage strategy is proposed based on the virtual space distortion analysis model. On the one hand, the virtual space distortion analysis model is established. This model can be used to find the high similarity of video frames and flow structures in different multimedia streams. The model can be used to uniform the multimedia stream state and effectively improve the efficiency of data mining. The model can effectively analyze the difference between the multimedia stream of virtual space and the storage of the server group. On the other hand, based on the distorted efforts of the virtual space and heterogeneous of the multimedia data stream, combined with big data multimedia service requirements, the big data frame combination of storage space and virtual space integration would be integrated as a whole through the multimedia data frame combination and distorted perception. Finally, the combination of multimedia data frames is proposed. The delay, channel, storage and big data processing level of the virtual space storage scheme and were analyzed and evaluated by the simulation experiment, compared with the physical storage scheme of the multimedia big data. The experimental results show that the proposed scheme has significant advantages in the above aspects.

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A Novel UEP Fountain Coding Scheme for Scalable Multimedia Transmission

Cited by 15 publications

References 32 publications

Weighted zigzag decodable fountain codes for unequal error protection

Weighted zigzag decodable fountain codes for unequal error protection

Cross-layer unequal error protection using 64-HQAM and RCPT codes for robust image communication

Multimedia Big Data Frame Combination Storage Strategy Based on Virtual Space Distortion

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