Document Type
Article
Publication Date
2018
Keywords
asynchronous transmission, massive Machine-Type Communication (mMTC), Orthogonal Frequency Division Multiplexing (OFDM), OFDM with Index Modulation (OFDM-IM)
Digital Object Identifier (DOI)
https://doi.org/10.3390/s18041280
Abstract
One of the critical missions for next-generation wireless communication systems is to fulfill the high demand for massive Machine-Type Communications (mMTC). In mMTC systems, a sporadic transmission is performed between machine users and base station (BS). Lack of coordination between the users and BS in time destroys orthogonality between the subcarriers, and causes inter-carrier interference (ICI). Therefore, providing services to asynchronous massive machine users is a major challenge for Orthogonal Frequency Division Multiplexing (OFDM). In this study, OFDM with index modulation (OFDM-IM) is proposed as an eligible solution to alleviate ICI caused by asynchronous transmission in uncoordinated mMTC networks. In OFDM-IM, data transmission is performed not only by modulated subcarriers but also by the indices of active subcarriers. Unlike classical OFDM, fractional subcarrier activation leads to less ICI in OFDM-IM technology. A novel subcarrier mapping scheme (SMS) named as Inner Subcarrier Activation is proposed to further alleviate adjacent user interference in asynchronous OFDM-IM-based systems. ISA reduces inter-user interference since it gives more activation priority to inner subcarriers compared with the existing SMS-s. The superiority of the proposed SMS is shown through both theoretical analysis and computer-based simulations in comparison to existing mapping schemes for asynchronous systems.
Rights Information
This work is licensed under a Creative Commons Attribution 4.0 License.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Sensors, v. 18, issue 4, art. 1280
Scholar Commons Citation
Doğan, Seda; Tusha, Armed; and Arslan, Hüseyin, "OFDM with Index Modulation for Asynchronous mMTC Networks" (2018). Electrical Engineering Faculty Publications. 9.
https://digitalcommons.usf.edu/ege_facpub/9