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Fundamental Limits of Cooperative Strategies in Joint Sensing and Communication Networks
The optimal trade-off between sensing and communication in perceptive networks is gaining importance. However, the potential of multi-sensor (e.g., multi-base station (BS)) co-operation seems unexplored. In this work, we derive a general framework that leads to an analytical expression for the Cramé...
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Main Authors: | , , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | The optimal trade-off between sensing and communication in perceptive networks is gaining importance. However, the potential of multi-sensor (e.g., multi-base station (BS)) co-operation seems unexplored. In this work, we derive a general framework that leads to an analytical expression for the Cramér-Rao Bound (CRB) over the target position estimation error when several multiple-input multiple-output (MIMO) BSs cooperate to realize a multiple monostatic setting, a multiple bistatic setting or a mixture of them (named heterogeneous setting). The analytical framework is then used to investigate such networked sensing configurations aiming to monitor a predefined area. Both communication channel fading and Swerling-type radar cross-section (RCS) are considered. |
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ISSN: | 2694-2941 |
DOI: | 10.1109/ICCWorkshops59551.2024.10615966 |