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Novel Evolutional Coding Technique Using Edge-Updated Graphs
Conference paper

Novel Evolutional Coding Technique Using Edge-Updated Graphs

Scott C.-H. Huang, Hsiao-Chun Wu and Elaine Y.-N. Sun
2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings, 8647655
02/2019

Abstract

D2D evolutional codes. M2M Packet-based communications software-defined multiplexing codes Information Systems and Management Renewable Energy Sustainability and the Environment Safety Risk Reliability and Quality Signal Processing Modeling and Simulation Instrumentation Computer Networks and Communications
More and more new communication scenarios have been emerging, such as heterogeneous, device-to-device (D2D), machine-to-machine (M2M), and unmanned aerial vehicular communications. The existing packet-based protocols cannot serve the individual demands in all of these scenarios effectively. In this paper, we propose a novel evolutional coding approach to govern all of the needs by various communication applications. Superior to our previously proposed software-defined multiplexing coding technique, the new evolutional codes can provide the capacity for fast information retrieval, which is crucial for real-time mapping, routing, and navigation. The fixed and static packet-based communication systems may be replaced by the flexible communication protocol based on the evolutional codes in the future.

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