Adaptive Strategies Transmission of High-Definition, 2K, 4K, 6K, 8K, and 10K Streams in Multi-PLP DVB-T2 with Efficient Multiplexing Capabilities: A Spectrum Problem-Solving Approach Using Multi-PLP Multiplexing Systems

The rapid growth of high-definition (HD) and ultra-high-definition (UHD) content, ranging from 2K to 10K resolutions, presents significant challenges for terrestrial broadcasting systems, particularly regarding spectrum utilization and reliable transmission. Digital Video Broadcasting–Terrestrial Second Generation (DVB-T2) with Multi-Physical Layer Pipes (Multi-PLP) offers a flexible framework to deliver heterogeneous content streams efficiently. This study investigates spectrum-aware adaptive transmission strategies to optimize Multi-PLP DVB-T2 networks for high-resolution streaming, focusing on efficient multiplexing, error resilience, and bandwidth management. Simulation analyses evaluate the performance of various Multi-PLP configurations under different channel conditions, including low signal-to-noise ratio (SNR) environments. Key metrics, such as throughput, bit error rate (BER), and spectral efficiency, were assessed. Results indicate that adaptive allocation of PLPs according to stream resolution and channel conditions can significantly enhance system performance. For instance, multiplexing a 2K, 4K, 6K, 8K, and 10K stream set using optimized PLP bandwidth allocations achieved a spectral efficiency improvement of 18% and a BER reduction from 10⁻³ to 10⁻⁵ at SNR levels of 3–5 dB compared to static PLP allocation schemes. Iterative modulation and coding adaptations further reduced transmission errors while maintaining low latency suitable for live broadcasting. The findings demonstrate that spectrum-aware adaptive transmission not only maximizes resource utilization but also ensures reliable reception across diverse resolutions. By dynamically matching PLP parameters to stream requirements and channel conditions, DVB-T2 broadcasters can efficiently deliver high-quality 2K–10K content even under constrained spectrum scenarios. This research provides a practical methodology for next-generation terrestrial broadcasting, contributing to improved spectrum efficiency, robust high-resolution transmission, and enhanced user experience.