Index modulation for 5G: Striving to do more with less

Xiang Cheng, Meng Zhang, Miaowen Wen, Liuqing Yang

Research output: Contribution to journalArticlepeer-review

61 Scopus citations

Abstract

5G wireless communications expect to bring both high spectrum efficiency and high energy efficiency. To meet the requirements, various new techniques have been proposed. Among these, the recently emerging index modulation has attracted significant interest. By judiciously activating a subset of certain communication building blocks, such as antenna, subcarrier, and time slot, index modulation is claimed to have the potential to meet the challenging 5G needs. In this article, we discuss index modulation and its general and specific representations, enhancements, and potential applications in various 5G scenarios. The objective is to reveal whether, and how, index modulation may strive for more performance gains with less medium resource occupation.

Original languageEnglish (US)
Pages (from-to)126-132
Number of pages7
JournalIEEE Wireless Communications
Volume25
Issue number2
DOIs
StatePublished - Apr 2018
Externally publishedYes

Bibliographical note

Funding Information:
degree from the University of Minnesota in 2004. She is currently a professor at Colorado State University. Her general interests are in the areas of communications and signal processing. She was the recipient of the ONR YIP award in 2007, the NSF CAREER award in 2009, the IEEE GLOBECOM Outstanding Service Award in 2010, the George T. Abell Outstanding Mid-Career Faculty Award in 2012 and the Art Corey Outstanding International Contributions Award in 2016, both at CSU, and Best Paper Awards at IEEE ICUWB ’06, ICCC ’13, ITSC ’14, GLOBECOM ’14, WCSP ’16, and ICC ’16. She has been actively serving the technical community, including the organization of many IEEE international conferences, and serving on the Editorial Boards of a number of journals including IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, and IEEE Transactions on Intelligent Transportation Systems.

Funding Information:
AcknowledgMent This work was supported in part by the National Natural Science Foundation of China under Grants 61622101, 61571020, and 61501190, the Ministry National Key Research and Development Project under Grant 2016YFE0123100, the open research fund of the State Key Laboratory of Integrated Services Networks under Grant ISN18-14, and the National Science Foundation under Grants CNS-1343189 and DMS-1521746.

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