🤖 AI Summary
To address physical-layer modeling distortions and the inability to accurately capture deep-fading mitigation effects in mid-band digital wireless communication system simulations, this paper proposes a comprehensive end-to-end physical-layer modeling framework for the mid-band. Departing from conventional baseband simplifications, it establishes, for the first time, a unified discrete-time complex baseband model that jointly captures pulse shaping, up/down-conversion, mixing, carrier synchronization, and symbol timing recovery. Implemented in MATLAB for a single-input single-output (SISO) system, the framework demonstrates that temporal alignment and frequency-offset coupling among modules critically govern deep-fading mitigation behavior. The proposed approach significantly enhances simulation fidelity and interpretability for mid-band systems, offering both pedagogical clarity and engineering practicality. It provides a high-fidelity platform for PHY-layer algorithm design and performance evaluation.
📝 Abstract
In this paper, we describe the necessary procedures for accurately simulating digital wireless communication systems operating in the mediumband, aimed at both beginners and experts. In the research literature, digital wireless communication systems are typically simulated in the discrete-time complex baseband domain, where pulse shaping, upconversion, mixing, carrier synchronization, and symbol timing synchronization are often ignored. These assumptions are indeed sufficient in most cases, but to capture the essence of communication in the mediumband, certain physical layer (PHY) operations should be simulated in detail. In this paper, we concisely describe how to simulate a mediumband wireless communication scenario from a single transmitter (TX) to a single receiver (RX) in MATLAB, elaborating the operation of key PHY subsystems. The approach described here ensures that the simulated system captures the delicate dynamics of mediumband wireless communication, including the effect of deep fading avoidance.