Impact of Opportunistic Transmission on MCIK-OFDM: Diversity and Coding Gains

T V Luong, Youngwook Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

This work proposes an opportunistic scheduling scheme for Multi-Carrier Index Keying - Orthogonal Frequency Division Multiplexing (MCIK-OFDM), which is termed as OS-MCIK-OFDM. Particularly, in every transmission, the proposed scheme allows only one machine whose worst sub-channel is the maximum among several machines’ worst sub-channels, to communicate with the central device, employing MCIKOFDM technique. As a result, OS-MCIK-OFDM can harvest the multiuser diversity gain to enhance the reliability of MCIK-OFDM, especially when the number of machines increases. For performance analysis, we derive the closed-form expression for the symbol error probability (SEP), which is then asymptotically analyzed to develop unique features that can address achievable diversity and coding gains, as well as impacts of system parameters. Finally, simulation results are presented to validate the accuracy of the derived SEP performance of OS-MCIK-OFDM and specifically its superiority over the opportunistic scheduling OFDM
Original languageEnglish
Title of host publication Industrial Networks and Intelligent Systems
Subtitle of host publicationINISCOM 2018 - 14th EAI International Conference on Industrial Networks and Intelligent Systems
PublisherSpringer
Pages1-11
ISBN (Print) 978-3-030-05872-2
Publication statusPublished - 09 Mar 2019

Publication series

Name Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
PublisherSpringer
ISSN (Print)1867-8211

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  • Student Theses

    Reliable and Low-Complexity Multicarrier Systems

    Author: Luong, T. V., Jul 2020

    Supervisor: Ko, Y. (Supervisor) & Matthaiou, M. (Supervisor)

    Student thesis: Doctoral ThesisDoctor of Philosophy

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    Cite this

    Luong, T. V., & Ko, Y. (2019). Impact of Opportunistic Transmission on MCIK-OFDM: Diversity and Coding Gains. In Industrial Networks and Intelligent Systems : INISCOM 2018 - 14th EAI International Conference on Industrial Networks and Intelligent Systems (pp. 1-11). ( Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering). Springer. https://www.springerprofessional.de/en/industrial-networks-and-intelligent-systems/16403766