179 research outputs found

    Reducing feedback requirements of the multiple weight opportunistic beamforming scheme via selective multiuser diversity

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    Raptor codes for infrastructure-to-vehicular broadcast services

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    On the performance of SU-MIMO and MU-MIMO in 3GPP LTE downlink

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    High-performance WLAN architectures using MIMO technology in Line-of-Sight

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    A selective cluster index scheduling method in OFDMA

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    Performance evaluation of hybrid ARQ schemes of 3GPP LTE OFDMA system

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    Mobile WiMAX: impact of mobility on the performance of limited feedback linear precoding

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    Performance evaluation of channel estimation techniques for a mobile fourth generation wide area OFDM system

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    Rate adaptive binary erasure quantization with dual fountain codes

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    In this contribution, duals of fountain codes are introduced and their use for lossy source compression is investigated. It is shown both theoretically and experimentally that the source coding dual of the binary erasure channel coding problem, binary erasure quantization, is solved at a nearly optimal rate with application of duals of LT and raptor codes by a belief propagation-like algorithm which amounts to a graph pruning procedure. Furthermore, this quantizing scheme is rate adaptive, i.e., its rate can be modified on-the-fly in order to adapt to the source distribution, very much like LT and raptor codes are able to adapt their rate to the erasure probability of a channel
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