Cross-layer architecture for scalable video transmission in wireless network

Huusko, Jyrki; Vehkaperä, Janne; Amon, Peter; Lamy-Bergot, Catherine; Panza, Gianmarco; Peltola, Johannes; Martini, Maria G.

doi:10.1016/j.image.2006.12.011

Cited by 43 publications

(27 citation statements)

References 24 publications

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“…Huusko et al [18] define a cross-layer framework for video transmission. The architecture contains a wired network from the sender to router and a wireless network as the last hop, which represents the possible mobile user.…”

Section: Cross-layer Architecture For Scalable Video Transmissionmentioning

confidence: 99%

Cross-layer Designs: A Survey

Khan¹

2012

IJCA

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Computer communication has been going through major changes throughout the last decades. While wireless technologies have been widely adopted, various domains and implementations like wireless sensor Networks (WSN), mobile ad-hoc networks (MANETs), wireless mesh networks have emerged. Since TCP/IP was a protocol designed for wired networks, wireless transmission poses unique challenges to the well-defined and rigid protocol stack. The well-known layers of the OSI model or its practical counterpart TCP/IP model were too strict in some cases to provide with all the services necessitated by these new domains. These issues make way to cross-layer design where the traditional boundaries among layers are violated in different ways to achieve performance gain. In this paper, we gather the motivation behind the cross-layer design, illustrate some representative examples and draw conclusions for the future challenges.

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Section: Cross-layer Architecture For Scalable Video Transmissionmentioning

confidence: 99%

Cross-layer Designs: A Survey

Khan¹

2012

IJCA

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“…These changes require some information to be available everywhere inside the receiver and are compatible with the usual transmission structure: only the receiver has to be modified, and both the transmitter operations and the signal sent are unchanged. As outlined above, they are facilitated by using the robust header recovery and permeable layer mechanisms presented in [10], [20]. Here, the headers are assumed to be available without errors at all layers.…”

Section: Model Of Permeable Protocol Stackmentioning

confidence: 99%

“…The flowchart of the decoding algorithm is depicted in Figure 6 and explanations are given in the following. Note that the metric M e ([u e,n , s e,n ]|h, y t ) is computed using (10). A each step, one obtains a suboptimal algorithm the complexity of which becomes O(2 (be)+ (re,n) ), mainly due to the evaluation of Φ in (10).…”

Section: Implementation Issues and Complexitymentioning

confidence: 99%

“…Finally, since (b) + (r) ≈ (x), the decoding complexity is (23) when the exact computation is performed for evaluating (10) and…”

Section: B Approximate Computationmentioning

confidence: 99%

“…With this technique, the header is very likely to be correctly decoded even for poor SNRs, and the payload may be forwarded to the upper layers, resulting in a permeable protocol stack. A complementary work, introducing a transparent network architecture, may be found in [10]. In this paper, we assume that, due to the use of such techniques, the headers are correctly received, and we concentrate on the evaluation of the payload (i.e., the reception of the video) This paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Joint Exploitation of Residual Source Information and MAC Layer CRC Redundancy for Robust Video Decoding

Marin

Bouchireb

Kieffer

et al. 2010

IEEE Trans. Wireless Commun.

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Abstract-This paper presents a MAP estimation method allowing the robust decoding of compressed video streams by exploiting the bitstream structure (i.e., information about the source, related to variable-length codes and source characteristics) together with the knowledge of the MAC layer CRC (here considered as additional redundancy on the MAC packet). This method is implemented via a sequential decoding algorithm in which the branch selection metric in the decoding trellis incorporates a CRC-dependent factor, and the paths which are not compatible with the source constraints are pruned. A first implementation of the proposed algorithm performs exact computations of the metrics, and is thus computationally expensive. Therefore, we also introduce a suboptimal (with tunable complexity) version of the proposed metric computation. This technique is then applied to the robust decoding of sequences encoded using the H.264/AVC standard based on CAVLC, and transmitted using a WiFi-like packet structure. Significant link budget improvement results are demonstrated for BPSK modulated signals sent over AWGN channels, even in the presence of channel coding.

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