Adaptive Mode- and Diversity-Control for Video Transmission on MIMO Wireless Channels

Hormis, R.; Linzer, Elliot; Wang, Xiaodong

doi:10.1109/tsp.2009.2020051

Cited by 16 publications

(12 citation statements)

References 15 publications

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“…In this subsection, we apply three kinds of RS codes, including RS (15,11,5), RS (15,7,9), and RS (15,3,13), to protect SVC data. The code rates of RS (15,11,5), RS (15,7,9) and RS (15,3,13) are 11/15, 7/15 and 1/5, respectively.…”

Section: Error Correction Codes Selection For Fixed Bermentioning

confidence: 99%

“…The code rates of RS (15,11,5), RS (15,7,9) and RS (15,3,13) are 11/15, 7/15 and 1/5, respectively. The lower code rate provides more robust error correction.…”

Section: Error Correction Codes Selection For Fixed Bermentioning

confidence: 99%

“…When doing simulation for ACS-MIMO, we apply RS (15,11,5) to each layer. We apply RS (15,11,5), to 3rd EL because the 3rd EL data is transmitted over the sub-channel with the highest SNR and the 3rd EL data has the lowest priority. For other layers, we choose their appropriate RS codes based on its sub-channel's status.…”

Section: Error Correction Codes Selection For Fixed Bermentioning

confidence: 99%

“…Step 3: Suppose that T 0 s is symbol duration which can make the error probability of the sub-channel with lowest SNR applied by RS (15,11,5) less than μ(layer 4). The total transmission time for ACS-MIMO with 3rd EL error probability less than μ(layer 4), 2nd EL error probability less than μ(layer 3), 1st EL error probability less than μ(layer 2), and BL error probability less than μ(layer 1) is 15/11E 4 T s .…”

Section: Error Correction Codes Selection For Fixed Bermentioning

confidence: 99%

“…Several researches regarding video transmission over MIMO systems have been studied [13][14][15]; however, few discuss the SVC video transmission over MIMO systems. Song et al proposed an adaptive channel selection-MIMO (ACS-MIMO) algorithm [16] that allows the SVC layer with higher priority to be transmitted over the channel with higher signal-to-noise ratio (SNR) value in 2007.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Dynamic Resource Allocation for Scalable H.264/AVC Video Transmission over MIMO Wireless Systems

Yeh

Chen

Tseng

et al. 2010

J Sign Process Syst

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In this study, a channel selection algorithm is proposed to enhance the transmission rate for scalable video coding (SVC) source transmission over multi-input multi-output (MIMO) wireless systems. The proposed algorithm allows each layer of SVC video to choose its appropriate channel in wireless MIMO systems based on channel state information for transmission rate enhancement. Here, this difficult problem is converted into mathematical optimization problem to improve the performance of SVC video transmission. Experimental results show that the transmission rate of the proposed method outperforms the existing scheme.

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Section: Error Correction Codes Selection For Fixed Bermentioning

confidence: 99%

“…The code rates of RS (15,11,5), RS (15,7,9) and RS (15,3,13) are 11/15, 7/15 and 1/5, respectively. The lower code rate provides more robust error correction.…”

Section: Error Correction Codes Selection For Fixed Bermentioning

confidence: 99%

Section: Error Correction Codes Selection For Fixed Bermentioning

confidence: 99%

Section: Error Correction Codes Selection For Fixed Bermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Dynamic Resource Allocation for Scalable H.264/AVC Video Transmission over MIMO Wireless Systems

Yeh

Chen

Tseng

et al. 2010

J Sign Process Syst

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High reliability of real-time visual data transmission using superposition coding with receiver diversity

Tahir

Al-Hussaibi

et al. 2013

Telecommun Syst

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Supporting visual data applications in the real-time communication systems are among the most challenging issues over the next generation wireless communication systems. This challenge is further magnified by the fact that the quality of reception is highly sensitive to transmission delay, data losses and bit error rate (BER) in such applications. In this paper, we proposed Superposition Coding with Receiver Diversity (SPC-RD) scheme, which employs unequal error protection (UEP) to improve the error performance, maximize the received signal to noise ratio (SNR) and optimize the reliability of the transmission system. In the transmitter side, the visual data is divided into a number of different priority layers based on their effects on the reception quality. These layers are modulated individually where the highest priority layer is modulated with the highest UEP level against error-prone channels, and vice versa. These modulated signals are then superimposed together and transmitted via wireless Single-Input Multiple-Output (SIMO) Rayleigh fading channel. In the receiver side, three different diversity combining approaches; selection combining (SC), equal gain combining (EGC) and maximal ratio combining (MRC) are considered. The combined signal is then passed through a multiuser demodulator so-called the ordered successive interference cancellation (O-SIC) demodulator to reconstruct and separate the data layers. This demodulation technique is evaluated and compared with the traditionally maximum likelihood joint detection (MLJD) technique. Extensive simulations have been carried out to validate the various assertions. Under the assumption of equal transmission power, the simulation results illustrate that the proposed SPC-RD scheme provides a SNR gain of 14.5 dB over the Rayleigh fading channel at the diversity order of three for the acceptable BER level of 10−3 when BPSK scheme is exploited compared to the traditional equal error protection system. In addition, the proposed scheme with O-SIC demodulation technique achieves almost similar performance compared to MLJD technique but using less computational complexity.

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Optimal resource allocation for Medium Grain Scalable video transmission over MIMO channels

Hamidouche

Olivier

Pousset

et al. 2013

Journal of Visual Communication and Image Representation

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Adaptive Mode- and Diversity-Control for Video Transmission on MIMO Wireless Channels

Cited by 16 publications

References 15 publications

Dynamic Resource Allocation for Scalable H.264/AVC Video Transmission over MIMO Wireless Systems

Dynamic Resource Allocation for Scalable H.264/AVC Video Transmission over MIMO Wireless Systems

High reliability of real-time visual data transmission using superposition coding with receiver diversity

Optimal resource allocation for Medium Grain Scalable video transmission over MIMO channels

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