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• W2943283363 abstract "In this paper, a sparse code multiple access (SCMA)-based edge computing scheme is proposed for Internet-of-Things (IoT) systems. The aim of implementing SCMA, which is a nonorthogonal multiple access resource allocation technique, is to improve network connectivity and maximize data rate provision. The proposed edge-IoT system is investigated under different SCMA configurations to explore the various performance aspects such as connectivity, throughput, task completion time, and complexity. First, the problem is formulated as a data rate maximization problem for SCMA-based heterogeneous networks under power constraints. Then, the problem is subdivided into a power allocation problem, which is solved using the water filling approach, and a codebook allocation problem that is solved using a heuristic algorithm. The results show that the SCMA scheme can significantly improve the IoT performance compared to the conventional orthogonal frequency-division multiple access resource allocation scheme in terms of connectivity, throughput, and task completion time provided that SCMA configurations are suitable with IoT processing capabilities to avoid undesired detection latency." @default.
• W2943283363 created "2019-05-09" @default.
• W2943283363 creator A5056461947 @default.
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• W2943283363 date "2019-08-01" @default.
• W2943283363 modified "2023-09-30" @default.
• W2943283363 title "Sparse Code Multiple Access-Based Edge Computing for IoT Systems" @default.
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• W2943283363 doi "https://doi.org/10.1109/jiot.2019.2914570" @default.
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