## 2 Related Work  
The performance and parameters of DVB-T/T2 systems have undergone extensive evaluation across diverse research endeavors conducted in recent years [4; 5; 6; 7; 8; 9; 10; 11]. For instance, in [4], evaluation of the DVB-T/T2 Lite system's performance utilizing the multiple-input single-output (MISO) transmission technique was conducted. In [5], an enhanced receiver for DVB-T systems was proposed to mitigate the impacts induced by channel imperfections, particularly in phase and quadrature. Similarly, Ref. [6] delved into the effects of time and frequency deviation on radar performance within the DVB-T system. Moreover, Ref. [7] simulated a multiple-input multiple-output (MIMO) scenario over DVB-T2 and LDPC channel coding, employing the maximum likelihood estimation technique. Additionally, Ref. [8] focused on analyzing the performance degradation attributed to phase and quadrature (IQ) imperfections in the orthogonal frequency division multiplexing (OFDM) modulator/demodulator of DVB-T and DVB-T2 Lite systems. The quality of DVB-T2 transmission was analyzed in [9] under fixed reception conditions to monitor the transition process from analog to digital terrestrial TV in Indonesia. Furthermore, Refs. [10; 11] proposed the adoption of flexible waveform techniques such as the universal filtered multicarrier (UFMC) and filter bank multicarrier (FBMC) techniques for 5G networks to enhance the spectral efficiency of DVB-T2. Despite these advancements, the extant literature evaluating the performance of DVB-T/T2 systems overlooks crucial aspects for end users, notably, video quality. With the scaling of new streaming platforms and ascending demand for high-quality video services, a pressing need arises to improve user experience, particularly by considering human perception [12]. The introduction of DVB-T2 heralded critical technological changes compared to its predecessor, notably impacting system performance. One of the main disparities lies in the error correction coding schemes employed, with DVB-T standardizing the concatenated pair as Reed-Solomon and convolutional (RS-CONV) for external and internal error correction, respectively. Conversely, DVB-T2 incorporates the BCH code concatenated with LDPC. Despite the advantages presented by DVB-T2 over DVB-T, both technologies persist in numerous countries. For instance, DVB-T2 reigns as the dominant technology in Europe. At the same time, the RS-CONV pair retains usage in countries like Brazil and Japan, which have adopted the integrated-services digital broadcasting terrestrial (ISDB-T) system([[https://www.dibeg.org/world/](https://www.dibeg.org/world/)]([https://www.dibeg.org/world/](https://www.dibeg.org/world/)) (accessed on 4 April 2024)).Evaluating the improvements facilitated by exchanging concatenated code pairs in this context is imperative. Consequently, several studies have explored the performance of FEC codes [13; 14] and analyzed the performance gains using constellation techniques rotated within the DVB-T2 system [2]. The assessment of these studies often employs the bit error rate (BER) metric, widely utilized in digital systems [15; 16; 17; 18]. In addition to system metrics, numerous studies have evaluated various user metrics concerning video quality within the realm of Quality of Experience (QoE) [19]. Objective metrics have also been employed to analyze video quality in multimedia systems [20; 21; 22]. However, these studies typically overlook temporal variations influencing QoE, a critical gap identified in [23; 24; 25; 26]. Temporal fluctuations in video quality can significantly impair QoE [26], necessitating a quantitative analysis of video quality related to QoE. Accordingly, this study proposes a novel methodology for temporal (frame-by-frame) analysis of 4 K ultra-resolution video quality. The evaluation of video quality employs SSIM/PSNR metrics. Although the SSIM primarily serves as the primary quality evaluation metric in this study, PSNR is also considered as an additional measure.