Optimization of Network Throughput of Joint Radar Communication System Using Stochastic Geometry
Shobha Sundar Ram, Gourab Ghatak

TL;DR
This paper develops an analytical framework using stochastic geometry to optimize network throughput in joint radar communication systems by tuning parameters like duty cycle, bandwidth, and power, validated through simulations.
Contribution
It introduces a generalized stochastic geometry-based model for maximizing JRC network throughput by optimizing key parameters, including exploration/exploitation trade-offs and radar settings.
Findings
Optimal parameters depend on bistatic range and clutter density.
Higher duty cycle and lower bandwidth improve throughput for larger ranges.
Achieved 70% peak reliability in JRC link metrics.
Abstract
Recently joint radar communication (JRC) systems have gained considerable interest for several applications such as vehicular communications, indoor localization and activity recognition, covert military communications, and satellite-based remote sensing. In these frameworks, bistatic/passive radar deployments with directional beams explore the angular search space and identify mobile users/radar targets. Subsequently, directional communication links are established with these mobile users. Consequently, JRC parameters such as the time trade-off between the radar exploration and communication service tasks have direct implications on the network throughput. Using tools from stochastic geometry (SG), we derive several system design and planning insights for deploying such networks and demonstrate how efficient radar detection can augment the communication throughput in a JRC system.…
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Taxonomy
TopicsRadar Systems and Signal Processing · Satellite Communication Systems · Radio Wave Propagation Studies
Methodstravel james
