eforms have been proposed for the 5G network, such as filter-band multicarrier (FBMC) [5, 6], generalized frequency division multiplexing (GFDM) [7], uni- versal filtered multicarrier (UFMC)¹ [8], filtered orthogonal frequency division multiplex- ing (F-OFDM) [9, 10], and windowed OFDM (W-OFDM) [11]. All of these waveforms have their advantages and drawbacks, e.g. FBMC applies subcarrier level pulse shaping to achieve the trade-off between time and frequency domain localization. This technique pro- vides the best OoBE among the above waveforms. However, due to the interference between its real and imaginary branches, channel restimation/equalization needs significantly higher computational complexity than OFDM [5]. In addition, it is very hard to combine FBMC with multiple-input multiple-output (MIMO) systems [12]. Similar to FBMC, GFDM also utilizes subcarrier level pulse shaping but in a block-based manner, SO that inter-burst tails are avoided [13]. Nevertheless, block-based processing increases the decoding latency of the GFDM system; hence, it may not be an appropriate choice for URLLC services. Moreover, FBMC and GFDM both require different transceiver structures from traditional OFDM sys- items. This will further reduce the competitiveness of these two waveforms. Compared with FBMC and GFDM, the filtering/windowing based waveforms, i.e. F-OFDM, UFMC, and W-OFDM, have drawn much more attention from both academia and industry. F-OFDM and UFMC implement subband filtering to suppress the spectrum leakage, while W-OFDM utilizes windowing to smooth the transmission between adjacent symbols and will reduce the OoBE generated from the discontinuous transitions [4]. In W-OFDM based systems, a simple windowing is required for spectral confinement, and it has negligible peak-to-average power ratio (PAPR) overhead compared with the filtering-type techniques [14, 15]. Although W-OFDM cannot reduce the OoBE as much as F-OFDM, it retains the core structure of the traditional OFDM receiver, and the windowing procedure bet