Integrated sensing and communications (ISAC) is a promising technology to integrate both functions in the same waveform, and is expected to be a feature in 6G wireless communication networks. One effective approach to ISAC is leveraging existing communication signals (such as orthogonal frequency division multiplexing (OFDM) signals) to sense the environment. Since there are many base stations in densely deployed cellular networks, they can form a massive sensing network, in which some transmit for illumination while others receive and collect data for imaging the illuminated area. In this paper, such imaging algorithms are discussed. Further, the critical challenge of time synchronization errors is addressed by using the technique of autofocus. The performance conflict and corresponding trade-off between communications and sensing in ISAC are discussed qualitatively.
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