skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: OFDM inspired waveforms for 5G

Journal Article · · IEEE Communications Surveys and Tutorials
 [1];  [2]
  1. Univ. of Utah, Salt Lake City, UT (United States)
  2. Idaho National Lab. (INL), Idaho Falls, ID (United States)

As the standardization activities are being formed to lay the foundation of 5G wireless networks, there is a common consensus on the need to replace the celebrated OFDM by a more effective air interface that better serves the challenging needs of 5G. The main reason that has made OFDM popular in the past is related to the fact that information symbols are carried over a number of pure tones/sinusoidal signals. Moreover, with the use of cyclic prefix (CP), it is assured that the information carrying tones are only affected by the channel (complex) gains at the respective frequencies. Accordingly, the channel effect can be trivially compensated for (equalized) in the frequency domain through a single complex tap per subcarrier. However, as network air interfaces become more complex and the demand for multiuser services grows, OFDM is found to be incapable of handling the inevitable loss of synchronization among users. In the recent past, two novel waveforms (namely, GFDM and C-FBMC) have been discussed in the literature to overcome this and other drawbacks of OFDM. Interestingly, and at the same time not surprising, these methods share a common fundamental property with OFDM: each data packet is made up of a number of tones that are modulated by information symbols. In this tutorial article, we build a common framework based on the said OFDM principle and derive GFDM and C-FBMC waveforms from this point of view. This derivation provides a new prospective that facilitates straightforward understanding of channel equalization and the application of these new waveforms to MIMO channels. As a result, it also facilitates derivation of new structures for more efficient synthesis/analysis of these waveforms than those that have been reported in the literature.

Research Organization:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Organization:
USDOE Office of Nuclear Energy (NE)
Grant/Contract Number:
AC07-05ID14517
OSTI ID:
1357211
Report Number(s):
INL/JOU-14-33556; 1553-877X
Journal Information:
IEEE Communications Surveys and Tutorials, Vol. 18, Issue 4
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 161 works
Citation information provided by
Web of Science

Cited By (9)

Channel estimation based on learning automata for OFDM systems journal May 2018
Maximum-likelihood synchronization and channel estimation with multiuser detection in GFDMA: A demonstration of the class file
  • Shayanfar, Hamidreza; Saeedi-Sourck, Hamid; Farhang, Arman
  • Transactions on Emerging Telecommunications Technologies, Vol. 29, Issue 6 https://doi.org/10.1002/ett.3424
journal May 2018
Co-existence of OFDM and FBMC for resilient photonic millimeter-wave 5G mobile fronthaul journal May 2019
The nonlinear-phase design of FBMC prototype filter based on filter coefficient symmetry characteristic journal February 2019
NOMURA: A Spectrally Efficient Non-orthogonal 5G Multiple Access Downlink Scheme for Cognitive Radio journal December 2018
Performance Analysis of Analog IF Over Fiber Fronthaul Link With 4G and 5G Coexistence journal January 2018
Comparison of OFDMA and GFDMA for Next-Generation PONs journal January 2017
Time Coding OTDM MIMO System Based on Singular Value Decomposition for 5G Applications journal July 2019
Polynomial Cancellation Coded DFT-s-OFDM for Low-PAPR Uplink Signaling journal November 2019