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76th IEEE Vehicular Technology Conference (VTC Fall)

作者： Chen, Lei Wang, Xiaoxiang Beijing Univ Posts & Telecommun Minist Educ Key Lab Universal Wireless Commun Beijing 100876 Peoples R China

ISBN: (纸本)9781467318792

This paper propose an optimal resource allocation algorithm by exploiting layered coding combined with erasure correction coding for multicast services in the downlink of OFDMA-based single frequency networks (SFN). In this algorithm, we exploit unequal error protection (UEP) Reed-Solomon (RS) coding to compensate for possible data packet loss of base layer and enhancement layers which are obtained from fine-granularity-scalability (fgs) video coding. In order to reduce the feedback load, BSs only utilize the average channel state information (CSI) of the users. The proposed algorithm maximizes the enhancement layers throughput while guaranteeing the minimum data rate of the base layer in each multicast group. A two-phase suboptimal algorithm is proposed to reduce the computational complexity. Simulation results show that the performance of the algorithm with UEP RS coding is much better than the algorithm without. Moreover, the proposed algorithms significantly outperform conventional multicast scheme (CMS).

关键词： Multicast Resource Allocation fgs video coding UEP RS coding SFN

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Resource allocation for Multicast Services with Joint fgs video coding and UEP RS coding Scheme in Single Frequency Networks

Resource allocation for Multicast Services with Joint FGS Vi...

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IEEE Vehicular Technology Conference

作者： Lei Chen Xiaoxiang Wang Key Laboratory of Universal Wireless Communications Ministry of Education Beijing University of Posts and Telecommunications

ISBN: (纸本)9781467318808

关键词： Multicast Resource Allocation fgs video coding UEP RS coding SFN

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Resource Allocation with Limited Feedback and Joint coding Scheme for Wireless Multi-antenna Multicast System

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WIRELESS PERSONAL COMMUNICATIONS 2013年第3期73卷 819-838页

作者： Chen, Lei China Criminal Police Univ Dept Publ Secur Intelligence Shenyang 110854 Peoples R China

In conventional multicast scheme (CMS), the total throughput of multicast group is constrained by the user with the worst channel quality. In order to overcome this problem of limited throughput, we introduce a resource allocation algorithm by exploiting layered coding combined with erasure correction coding for multicast services in the downlink of OFDMA-based multi-antenna system. To reduce the feedback overhead of uplink, we design a novel transmission scheme with limited feedback. Then, we formulate the joint subcarrier and power allocation problem for the data of base layer and enhancement layers, which is shown to be NP hard. Hence, in order to reduce the computational complexity, we propose a three-phase suboptimal algorithm. The algorithm is designed to maximize the system throughput while at the same time guarantee the quality of services (QoS) requirements of all multicast groups. It is composed of precoding scheme, proportional fairness subcarrier allocation algorithm and modified water-filling power allocation algorithm with QoS guarantees (MWF-Q). To further decrease the complexity of MWF-Q, a power allocation algorithm with increased fixed power allocation algorithm with QoS guarantees is introduced. Simulation results show that the proposed algorithms based on limited feedback scheme significantly outperform CMS and any other existing algorithm with full feedback. Moreover, the proposed scheme can efficiently reduce 50 % of the full feedback overhead.

关键词： Multicast Precoding fgs video coding UEP RS coding Limited feedback

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Resource Allocation with coding Schemes for Multicast Services in Single Frequency Networks

Resource Allocation with Coding Schemes for Multicast Servic...

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IEEE International Conference on Communications (ICC)

作者： Chen, Lei Wang, Xiaoxiang He, Gaoning Beijing Univ Posts & Telecommun Key Lab Universal Wireless Commun Minist Educ Beijing 100876 Peoples R China

ISBN: (纸本)9781457720536

This paper propose an optimal resource allocation algorithm by exploiting opportunistic multicast scheduling (OMS) scheme using layered coding combined with erasure correction coding for multicast services in the downlink of OFDMA-based single frequency networks (SFN). In this algorithm, we exploit unequal error protection (UEP) Reed-Solomon (RS) coding to compensate for possible data packet loss of base layer and enhancement layers which are obtained from fine-granularity-scalability (fgs) video coding. In order to reduce the feedback load, we only use the knowledge of average channel state information (CSI) for the users. The proposed algorithm maximizes the enhancement layers throughput while guaranteeing the minimum data rate of the base layer in each multicast group. A two-phase suboptimal algorithm is proposed to reduce the computational complexity. Simulation results show that the performance of the algorithm with UEP RS coding is more than the algorithm without UEP RS coding. Moreover, the proposed algorithms significantly outperform conventional multicast scheme (CMS).

关键词： Multicast Resource Allocation fgs video coding UEP RS coding SFN OMS

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Distributed joint source-channel coding of video using Raptor codes

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IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 2007年第4期25卷 851-861页

作者： Xu, Qian Stankovic, Vladimir Xiong, Zixiang Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77843 USA Univ Lancaster Dept Commun Syst Lancaster LA1 4WA England

Extending recent works on distributed source coding, this paper considers distributed source-channel coding and targets at the important application of scalable video transmission over wireless networks. The idea is to use a single channel code for both video coimpression (via Slepian-Wolf coding) and packet loss protection. First, we provide a theoretical code design framework for distributed joint source-channel coding over erasure channels and then apply it to the targeted video application. The resulting video coder is based on a cross-layer design where video compression and protection are performed jointly. We choose Raptor codes - the best approximation to a digital fountain - and address in detail both encoder and decoder designs. Using the received packets together with a correlated video available at the decoder as side information, we devise a new iterative soft-decision decoder for joint Raptor decoding. Simulation results show that, compared to one separate design using Slepian-Wolf compression plus erasure protection and another based on fgs coding plus erasure protection, the proposed joint design provides better video quality at the same number of transmitted packets. Our work represents the first in capitalizing the latest in distributed source coding and near-capacity channel coding for robust video transmission over erasure channels.

关键词： distributed joint source-channel coding Slepian-Wolf coding Wyner-Ziv video coding digital fountain Raptor codes fgs video coding

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