Fundamental Limits of 1-bit ISAC Systems: Capacity Region and Optimal Power Control
Emmanuel Trinidad, Neil Irwin Bernardo

TL;DR
This paper explores the capacity limits of 1-bit ISAC systems, revealing that simultaneous optimal communication and sensing are achievable with specific input distributions, and derives optimal power control policies.
Contribution
It characterizes the capacity region of 1-bit ISAC channels with CSI, showing no trade-off between sensing and communication, and develops optimal power control strategies.
Findings
Both capacities can be achieved simultaneously with constant-amplitude inputs.
Optimal power control policies depend on the weighting between sensing and communication.
No trade-off exists between sensing and communication capacities with CSI at the receiver.
Abstract
This paper investigates the fundamental limits of integrated sensing and communication (ISAC) systems with 1-bit receiver quantization. We analyze a Gaussian fading ISAC channel with separate communication and monostatic sensing links, where both communication and sensing receivers are equipped with 1-bit quantizers. When the communication channel state information (CSI) is available at the receiver, we characterize the communication-sensing capacity region of 1-bit ISAC channel and show that no trade-off exists between communication and sensing performance. In particular, both communication and sensing capacities can be simultaneously achieved by a constant-amplitude input distribution with a specific rotational symmetry. For the scenario where communication CSI is also available at the transmitter, we formulate a weighted optimization problem that balances communication and sensing…
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