## 1 Introduction
[11] integrated active interference cancellation (AIC) into a UFMC system to enable further reduction of inter-sub-band interference and more reliable communication. [PERSON] et al. [12] described aspects of UFMC technology and explored the PAPR and BER performance of UFMC technology for various modulation schemes. Simulation results have shown that BER values for UFMC increase with an increase in the number of bits per subcarrier and that the 16-QAM method is suitable for UFMC technology. Further, the spectral efficiency of UFMC is lower than that of FBMC. An intermediate scheme between OFDM and FBMC, UFMC combines the simplicity of OFDM and the anti-interference performance of FBMC. UFMC schemes use a Dolph-Chebyshev filter with a finite impulse response to shape the waveform and enhance anti-interference performance [13]. [PERSON] et al. [13] proposed an effective design of a waveform-shaping filter to eliminate out-of-band emission, suppress spectral side-lobe levels, and employ well-designed anti-interference filters for symbol shaping. Their proposed method considers the design parameters of passband ripple, stopband attenuation, transition width, and Nyquist condition, and hence can produce better BER outcomes. The filtering operation in UFMC is adopted on a group of consecutive subcarriers (sub-band shaping); the filter length and implementation complexity are decreased significantly compared with FBMC. Aspects of the spectral efficiency, numerical complexity, and power amplifier nonlinearity for UFMC, FBMC, GFDM and resource-block filtered OFDM have been demonstrated [14]. These new transmission schemes have OFDM advantages while also overcoming their drawbacks. Compared with OFDM, FBMC has the best spectral containment, GFDM has the smallest complexity overhead, and UFMC has the best compatibility. [PERSON] et al. [15] proposed a CP-based UFMC system to achieve interference-free transmission and derived an analytical model with the desired signal, intersymbol interference, intercarrier interference, and noise-level. [PERSON] et al. [16] formulated a novel adaptive filter configuration algorithm by adaptively designing the parameters of finite impulse response filters. Their adaptive filter configuration algorithm can efficiently combat different carrier-frequency offsets that are caused by the interference of multiple users. Adaptive modulation and power allocation for each subcarrier are integrated to achieve better BER performance and a higher transmission data rate compared with the traditional UFMC-based transmission system. Another approach to achieving excellent BER performance in multicarrier UAC is the use of nonbinary low-density parity-check (LDPC) channel coding, which was investigated by [PERSON] et al. [17]. [PERSON] et al. [18] reported on an LDPC decoder and a decision feedback equalizer that iteratively exchanges soft information. Their simulation results showed that a BER performance \(10^{-5}\) in the proposed LDPC decoder increases by 0.8 dB compared with turbo channel coding with the same coding rate. [PERSON] et al. [19] developed a robust FBMC method in doubly dispersive UAC channels. In the area of underwater acoustic multimedia communication, [PERSON] et al. [20; 21; 22] investigated transmission schemes that incorporate direct-mapping orthogonal variable spreading factor (OVSF), multi-input multi-output (MIMO)-OFDM, or MIMO Gold sequence (GS) OVSF/OFDM. [PERSON] et al. [23] proposed an FBMC-based underwater transmission scheme for voice and image signals and integrated LDPC channel coding, adaptive BPSK or offset QAM (OQAM), and a power assignment mechanism into an underwater voice and image transmission system. In a later work, [PERSON] et al. [24] designed a direct mapping (DM)-based underwater transmission scheme for voice and image signals that integrated the FBMC transmission method. Meanwhile, 5 GNOW_D3.1_v1.1 [25] demonstrated a UFMC-based transceiver architecture.