Optimal adaptive channel scheduling for scalable video broadcasting over MIMO wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
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The multiple-input-multiple-output (MIMO) and cooperative communication are two state-of-the-art techniques to provide high-rate high-quality video communication services. By taking advantage of both techniques, this paper presents a novel joint source-channel coding (JSCC) framework for scalable video transmission over cooperative MIMO. In this framework, we first propose a cooperative MIMO architecture, which employs macro-micro power control strategy as a relaying protocol to determine the on/off mode of relays and the specific power allocation among them either by equal power amplification or by cooperative beamforming. Then, an unequal error protection structure is proposed to protect the video layers with different importance levels by concatenating the rate-variable low-density parity-check codes and diversity-embedded space-time block codes. Moreover, for the purpose of channel adaptation, the switch of space-time codes is designed to achieve different diversity and multiplexing tradeoff points. Finally, the JSCC algorithm integrated with diversity-multiplexing-coding gain tradeoff is proposed to optimize the resources of cooperative system to improve the transmission quality of scalable video. Experimental results demonstrate the effectiveness of our proposed schemes.