1,720,966 research outputs found
LLR-based attention-weighted projection decoding for sparse vector coded short-packet transmissions
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Receiver Metric Design for Short-Block Channels : A Perspective for Reliable 6G Signaling Scenarios
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Optimization strategies for low-latency 5G NR LDPC decoding on general purpose processor
No full textInternational audienceIn recent years, with the progression of the computational abilities of General-Purpose Processors (GPPs), there has been a heightened interest in the implementation of software Low-Density Parity-Check (LDPC) decoders. This investigation provides a comprehensive analysis of the most effective strategies for optimizing the decoding latency of 5G LDPC on GPPs. Our proposed optimization mechanisms consist of the implementation of Advanced Vector Extensions 512 (AVX-512) instructions in computationally intensive routines and the application of code transformation techniques, specifically optimization through unrolling to tackle the primary computational challenges and minimize the overall latency of the decoder. To assess the efficiency of our proposed techniques, thorough simulations were carried out to determine the decoding time. Our findings indicate that the implementation of the aforementioned optimization techniques on computational routines causing time bottlenecks can lead to a significant reduction of at least 30% in computational delay, even under unfavorable conditions. This discovery demonstrates the feasibility of developing a low-latency software 5G NR LDPC decoder on an x86 architecture
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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