Democratizing ۶G ISAC: Ambient Environmental Sensing via Deep Temporal Deconvolution of Low-Cost Cellular IoT Telemetry

Next-generation sixth-generation (۶G) wireless ecosystems mandate the structural paradigm of Integrated Sensing and Communication (ISAC) to enable autonomous, environment-aware network orchestration. However, state-of-the-art ISAC frameworks depend heavily on high-frequency millimeter-wave (mmWave) or Terahertz (THz) hardware, massive MIMO antenna arrays, or deep, unrestricted access to raw Channel State Information (CSI). These technical dependencies render wide-scale deployment economically unfeasible and structurally restricted behind proprietary chipset firmware walls. This paper introduces TelSen (Telemetry-Sensing), an edge-native framework that retrofits commodity, low-cost Cellular IoT (C-IoT) transceivers into high-sensitivity ambient environmental sensors without requiring hardware modifications or custom firmware compilation. Utilizing the open-source integration architecture of a baseline system comprising an aftermarket Quectel BG۹۶ multi-mode module paired with an ARM-based single-board edge microprocessor via an optimized asynchronous UART serial routine, we develop a mathematical channel inversion pipeline. This framework captures and processes physical-layer micro-perturbations—specifically the temporal cross-correlations of Reference Signal Received Power (RSRP), Signal-toInterference-plus-Noise Ratio (SINR), and Bit Error Rate (BER)—over live infrastructure. Empirical evaluations conducted within a commercial public network (DNA Oy) and the flagship ۵G/۶G Test Network (۵GTN) at the University of Oulu demonstrate that the TelSen pipeline successfully isolates internal transceiver thermal drifts and multi-user cell loading from physically induced environmental blockages. Experimental results confirm that this $۵۰ edge framework detects physical human intrusions and macro-climatic shifts within a ۱۵-meter radius with a classification accuracy exceeding ۹۴.۲%. This architecture establishes a highly scalable, zero-marginal-cost blueprint for pervasive, crowdsourced ambient sensing across evolving ۶G networks.

کلیدواژه ها:

Integrated Sensing and Communication (ISAC) ، ۶G Wireless Networks ، Cellular Internet-of-Things (C-IoT) ، Edge Computing ، Channel Inversion ، Deep Temporal Deconvolution ، Hardware Telemetry ، Low-Power Wide-Area Networks (LPWAN