Spectrum Efficient, Localized, Orthogonal Waveforms: Closing the Gap With the Balian-Low Theorem

• Published in: IEEE transactions on communications Vol. 64; no. 5; pp. 2155 - 2165
• Main Authors: Korevaar, C. Willem, Kokkeler, Andre B. J., de Boer, Pieter-Tjerk, Smit, Gerard J. M.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Balian-Low theorem; Dispersion; Hermite functions; hexagonal lattice communications; Interference; Lattices; Modulation; OFDM; orthogonal frequency division multiplexing (OFDM); Pulse shaping; Robustness; Time-frequency analysis; orthogonal frequency division multiplexing (OFDM); Balian-low theorem; Pulse shaping; Hermite functions; hexagonal lattice communications
• ISSN: 0090-6778; 1558-0857
• DOI: 10.1109/TCOMM.2016.2535333

The Balian-Low theorem (BLT) states the fundamental impossibility to design waveforms for L 2 (ℝ), which 1) form an orthogonal set, 2) are time-frequency localized, and 3) attain a critical waveform density such that they form an orthogonal basis. This article closes the gap between existing waveform designs and the BLT. The main contribution is the design of orthogonal, time-frequency localized, spectrum efficient waveforms for hexagonal lattices. The waveform design is adaptive by a single design parameter, which tradesoff time-frequency localization with the waveform density. As the orthogonalization procedure is based on employing the minimum number of most time-frequency localized waveforms (Hermite functions) it is argued that the results may be optimal in terms of combined spectrum efficiency and time-frequency localization. An example is provided for waveforms for a hexagonal lattice, which are quasi-orthogonal, time-frequency localized, and up to 99% of the critical waveform density. Although the designed waveforms are not strictly orthogonal, their cross-correlation can be made arbitrarily small. The robustness in doubly dispersive channels and the efficiency for multiuser scenarios are discussed and compared to conventional orthogonal frequency division multiplexing (OFDM).