Intelligent DL-SCH/PDSCH processing chain in 5G with adaptive HARQ mechanism

The article presents the design and analysis of an intelligent processing chain for the Downlink Shared Channel (DL-SCH) and the Physical Downlink Shared Channel (PDSCH) with an adaptive Hybrid Automatic Repeat Request (HARQ) mechanism for fifth-generation (5G) wireless networks. The study integrates machine learning techniques to optimize the HARQ retransmission process, thereby enhancing system throughput, latency, and energy efficiency. Experimental results compare the proposed system with a conventional HARQ mechanism across various signal-to-noise ratio (SNR) levels, demonstrating throughput improvements of up to 72.5% and latency reduction of up to 23% under low-to-moderate SNR conditions. The findings highlight the potential of adaptive HARQ schemes for future fifth- and sixth-generation (5G and 6G) communication systems. System performance was evaluated in terms of bit error rate (BER), error vector magnitude (EVM), modulation error ratio (MER), and power efficiency, with an emphasis on real-time adaptability and system-level quality of service (QoS) requirements.