## 1 Introduction
In [7], the authors proposed the time offset maximum likelihood (ML) and carrier frequency offset pseudo-maximum likelihood (PML) estimators that exploited the structure of the P1 symbol in the time and frequency domains for synchronization. The complexity of these estimators was analyzed. It was demonstrated that the ML was more complex than the PML estimator. The authors of [8] developed an effective symbol timing recovery (STR) that estimated the channel impulse response (CIR) using a scattered pilot (SP) pattern (existing in DVB-T2). The Fast Fourier Transform (FFT) properties were exploited to estimate the accurate symbol timing offset in a large delay channel environment with a MISO technique. However, these studies do not present any details on the impact of the CFO increase on DVB-T2 system performance. Many of them only developed an efficient estimator for the DVB-T2 system. Therefore, a research gap is noticeable on the quantization of the CFO presence effect on the performance of this system. Furthermore, many advanced multicarrier modulation techniques have been recently studied with the advent of 5G communication systems. These are Universal Filtered Multicarrier (UFMC), Filter Bank Multicarrier (FBMC), Generalized Frequency-Division Multiplexing (GFDM) and Filtered-Orthogonal Frequency-Division Multiplexing (F-OFDM) [9,10]. The specificity of these modulations is to add novel signal processing techniques to deal with OFDM's drawbacks. UFMC and FBMC performance has been mainly studied in DVB-T2 by comparing it to the classical OFDM performance. These modulation techniques present better BER performance without channel coding, and these outcomes are highly robust when channel coding techniques are used. In particular, UFMC distinguishes itself as the modulation that presents better performance than OFDM and FBMC as well as similar computational complexity when compared to OFDM [9,11]. Indeed, the specificity of DVB-T2 is to use a high number of subcarriers as a parameter, which increases the OFDM symbol duration and then allows the system to achieve better network coverage. However, as the number of subcarriers increases, the intercarrier spacing decreases. Thus, a deployed DVB-T2 network using a large number of subcarriers is more sensitive to frequency offset at the reception side than others using a small number of subcarriers. Therefore, the study of the CFO impact in DVB-T2 system is relevant to support broad-casters planning to broadcast audiovisual signals for a mobile reception case. Furthermore, to the best of the authors' knowledge, the impact of the CFO has not yet been studied in UFMC in the framework of a DVB-T2 configuration. This paper is filling these gaps by evaluating the impact of CFO in both the native DVB-T2 system as a comparison basis and a UFMC-based DVB-T2 system. The main evaluation parameters are the bit error rate (BER), Modulation Error Ratio (MER), and Error Vector Magnitude (EVM) as these parameters are frequently used in digital signal measurement. However, no CFO compensation technique was developed in this document to eliminate the penalties induced by the presence of the CFO on the DVB-T2 signal. The outline of this paper is as follows: the related works about this topic are firstly presented (cf. Section 2). It is followed by the theoretical background about multicarrier modulations and radiofrequency impairments (cf. Section 3). The material and methods are presented in Section 4. It is followed by the results (cf. Section 5) and a discussion (cf. Section 6). The paper ends with the conclusion (cf. Section 7).