Analysis and Construction of Full-Diversity Joint Network-LDPC Codes for Cooperative Communications

Duyck, Dieter; Capirone, Daniele; Boutros, Joseph J.; Moeneclaey, Marc

doi:10.1155/2010/805216

Cited by 25 publications

(20 citation statements)

References 19 publications

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“…Most of the related work in video transmission focus on (1) finding an optimal bit rate for video coding and channel coding, e.g., [19,20]; (2) designing the video coding mechanism to achieve the target source rate under given channel conditions, e.g., [21]; (3) designing the channel coding to achieve the required reliability, e.g., low-density parity check [22], turbo [23], Reed-Solomon (RS) [24], and fountain [25] codes; (4) designing joint optimization framework, including all available error control components together with error concealment and transmission control, to improve global system performance, e.g., [26]. The authors of [14] deal with the optimal allocation of MPEG-2 encoding and media-independent forward error correction rates under the total given bandwidth.…”

Section: Joint Source-channel Codingmentioning

confidence: 99%

Joint source-channel coding and optimization for mobile video streaming in heterogeneous wireless networks

Shang

Huang

et al. 2013

J Wireless Com Network

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This paper investigates mobile video delivery in a heterogeneous wireless network from a video server to a multi-homed client. Joint source-channel coding (JSCC) has proven to be an effective solution for video transmission over bandwidth-limited, error-prone wireless networks. However, one major problem with the existing JSCC approaches is that they consider the network between the server and the client as a single transport link. The situation becomes more complicated in the context of multiple available links because involving a low-bandwidth, highly lossy, or long-delay wireless network in the transmission will only degrade the video quality. To address the critical problem, we propose a novel flow rate allocation-based JSCC (FRA-JSCC) approach that includes three key phases: (1) forward error correction redundancy estimation under loss requirement, (2) source rate adaption under delay constraint, and (3) dynamic rate allocation to minimize end-to-end video distortion. We present a mathematical formulation of JSCC to optimize video quality over multiple wireless channels and provide comprehensive analysis for channel distortion. We evaluate the performance of FRA-JSCC through emulations in Exata and compare it with the existing schemes. Experimental results show that FRA-JSCC outperforms the competing models in improving the video peak signal-to-noise ratio as well as in reducing the end-to-end delay.

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Section: Joint Source-channel Codingmentioning

confidence: 99%

Joint source-channel coding and optimization for mobile video streaming in heterogeneous wireless networks

Shang

Huang

et al. 2013

J Wireless Com Network

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“…Considering the number of receiving antennas L = 1, the codewords c 1 , ⋯ , c K from the sources and additional parity‐check parts p 1 , ⋯ , p W from the relays suffer from K + W independent block fading channels, respectively. Hence, coding gain as well as high diversity order can be achieved , and it is not necessary to adopt network coding in the GF( q ) ( q > 2). In this scheme, if we increase the field size from the GF(2) to a nonbinary field, it will sharply increase the complexity of the encoding and decoding without clearly improving the diversity order of the system.…”

Section: Joint Iterative Decoding For the Network‐coding‐based Multismentioning

confidence: 99%

Network‐coding‐based multisource multirelay LDPC‐coded cooperative MIMO

Zhang

Yang

Tang

2013

Trans Emerging Tel Tech

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This paper investigates a network‐coding‐based multisource multirelay low‐density parity‐check coded cooperative multiple‐input multiple‐output scheme, where multiple receiving antennas are applied in the destination. Each relay cooperates with multiple sources via network coding. A joint iterative decoding is effectively carried out in the destination. The decoding algorithm agrees with the introduced equivalent joint Tanner graph that can be used to fully characterise low‐density parity‐check codes employed by the sources and relays. The outage probability of the network‐coding‐based coded cooperative multiple‐input multiple‐output scheme over Rayleigh fading channels is analysed, when maximal‐ratio combining is adopted in the destination. Theoretical analysis and numerical simulations show that the investigated scheme can well combine cooperation diversity, multireceive diversity and channel coding gains, and clearly outperforms the coded noncooperation scheme under the same conditions. Copyright © 2013 John Wiley & Sons, Ltd.

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“…This would be impossible to achieve by simply routing or by replicating the data. Many studies have since been conducted to verify that network coding provides advantages over existing cooperative network schemes [8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

4-ary network coding for two nodes in cooperative wireless networks: exact outage probability and coverage expansion

Seong

Lee

2012

J Wireless Com Network

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The fact that sensor nodes are powered by limited-capacity batteries makes power efficiency; one of the most critical issues in wireless sensor networks (WSNs). Advanced communication techniques combined with network coding and cooperative schemes have attracted considerable attention as ways to improve power efficiency in wireless transmission as well as to achieve high throughput and spectral efficiency in WSNs. In this study, we consider cooperative wireless networks with two nodes and one base station, and investigate the effect of using non-binary network coding on the enhancement in power efficiency. First, we derive the exact and general outage probability in our network coding scheme. We show that full diversity order can be obtained using a non-binary network code with GF(4) in the considered network. We use this result to study the extent to which the coverage area of a wireless source node can be expanded by network coding without increasing transmit power. Our results indicate that the benefit in terms of coverage expansion is substantial. The results included in this study show the influence of optimal power allocation on power efficiency. The optimum ratio of power allocation varies according to the wireless channel environments and the field size of network codes.

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Analysis and Construction of Full-Diversity Joint Network-LDPC Codes for Cooperative Communications

Cited by 25 publications

References 19 publications

Joint source-channel coding and optimization for mobile video streaming in heterogeneous wireless networks

Joint source-channel coding and optimization for mobile video streaming in heterogeneous wireless networks

Network‐coding‐based multisource multirelay LDPC‐coded cooperative MIMO

4-ary network coding for two nodes in cooperative wireless networks: exact outage probability and coverage expansion

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