Joint Imaging and Downlink Communication With Shared Resources

OpenAlex İngilizce

This paper investigates the fundamental performance trade-offs inherent in joint imaging and communication (JIC) systems that simultaneously utilize shared network resources. Specifically, considering a downlink scenario where a base station illuminates a scene for imaging while concurrently transmitting data to a communication user, four key contributions are presented. First, by isolating the scene scatterers' reflectivity, we formulate the imaging received signal in a structured way that is consistent with the communication signal model. Second, we develop a joint optimization framework to reduce the mean squared error of imaging and communication, thereby maximizing the total system performance. Third, we propose a scene fragmentation approach to reduce the complexity caused by an increasing number of scatterers in the operation environment, which, although improving the scatterers' reflectivity estimation within the scene, can strain the system resources. Finally, we set a theoretical upper limit on the number of scatterers per sub-scene to ensure that the available resources are used optimally with the fragmentation and that the system performance of the JIC is maximized. The benefits of using joint transmit signals for imaging and communication functions within a unified framework are demonstrated using rigorous analysis and simulations.