Sparse Code Multiple Access-Based Edge Computing for IoT Systems
| Autor: | Ali Alnoman, Alagan Anpalagan, Serhat Erkucuk |
|---|---|
| Přispěvatelé: | Erküçük, Serhat |
| Rok vydání: | 2019 |
| Předmět: |
Computer Networks and Communications
Computer science Distributed computing Cloud computing Throughput 02 engineering and technology Orthogonal frequency-division multiple access (OFDMA) Nonorthogonal multiple access (NOMA) 0203 mechanical engineering 0202 electrical engineering electronic engineering information engineering Resource management Sparse code multiple access (SCMA) Edge computing business.industry Heterogeneous networks (HetNets) Codebook 020206 networking & telecommunications 020302 automobile design & engineering Computer Science Applications Hardware and Architecture Signal Processing Task analysis Resource allocation business Internet of Things Heterogeneous network Internet-of-Things (IoT) Information Systems |
| Zdroj: | IEEE Internet of Things Journal. 6:7152-7161 |
| ISSN: | 2372-2541 |
| DOI: | 10.1109/jiot.2019.2914570 |
| Popis: | 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 frequencydivision 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. Natural Sciences and Engineering Research Council of Canada CGIAR Tubitak |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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