Special Session 11. Advanced Modulation, Coding, and Signal Processing for Future Wireless Communications

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  • The rapid evolution toward next-generation wireless networks demands a radical architectural shift at the physical layer (PHY) to achieve unprecedented data rates, ultra-low latency, global coverage, and extreme reliability. Traditional communications design, heavily reliant on linear mathematical models and orthogonal signaling, is reaching its theoretical boundaries under the constraints of spectrum scarcity and high-mobility environments.

    To overcome these barriers, we propose this workshop, titled "Advanced Modulation, Coding, and Signal Processing for Future Wireless Communications," focusing on the foundational innovations driving the 6G PHY layer. The workshop serves as a forum to explore the convergence of capacity-approaching channel codes, resilient next-generation waveforms, and AI-native communication architectures. This workshop aims to foster collaboration on cutting-edge techniques such as Delay-Doppler modulation, capacity-approaching codes, semantic communications, integrated sensing and communications, and AI-native transceiver architectures.

    This workshop invites submissions on topics including, but not limited to:
    • Advanced signal design, channel estimation, and equalization techniques for OTFS, OTSM, and AFDM in high-mobility scenarios.
    • High-efficiency, low-PAPR modulation designs structured to withstand severe phase noise and atmospheric attenuation in extreme high-frequency bands.
    • Next-generation error-correction coding, decoding algorithms, and hardware-efficient implementations of advanced Polar codes, LDPC codes, and quantum channel coding.
    • Semantic source-channel coding frameworks that prioritize contextual meaning and task execution metrics.
    • Autoencoder-based transceiver learning and the application of physical-layer wireless foundation models to completely automate and optimize joint modulation, channel estimation, and decoding.
    • Multi-antenna processing algorithms tailored specifically for emerging Fluid Antenna Systems (FAS), reconfigurable intelligent surfaces (RIS), and mechanically movable antenna arrays.
    • Signal processing for Non-Terrestrial Networks (NTN). Doppler shift compensation, large propagation delay management, and dynamic beam tracking algorithms for integrated LEO satellite, UAV, and space-air-ground networks.