2021/07/31 by Linlong Wu, Kumar Vijay Mishra, Mallikarjun Shankar +2
Computer Science · Engineering · Mathematics · #Communications system #Computer network #Computer science #Distributed Sensor Networks and Detection Algorithms #Distributed computing #Radar #Radar Systems and Signal Processing #Real-time computing #Resource allocation #Target Tracking and Data Fusion in Sensor Networks #Telecommunications #Throughput #Wireless #Wireless network #cs.IT #eess.SP #math.IT
paper · pdf · doi:10.1109/spawc51858.2021.9593222
openalex publication_date 2021/09/27 · arxiv created 2022/03/04 · arxiv updated 2022/03/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Due to spectrum scarcity, the coexistence of radar and wireless communication has gained substantial research interest recently. Among many scenarios, the heterogeneouslydistributed joint radar-communication system is promising due to its flexibility and compatibility of existing architectures. In this paper, we focus on a heterogeneous radar and communication network (HRCN), which consists of various generic radars for multiple target tracking (MTT) and wireless communications for multiple users. We aim to improve the MTT performance and maintain good throughput levels for communication users by a well-designed resource allocation. The problem is formulated as a Bayesian Cramér-Rao bound (CRB) based minimization subjecting to resource budgets and throughput constraints. The formulated nonconvex problem is solved based on an alternating descent-ascent approach. Numerical results demonstrate the efficacy of the proposed allocation scheme for this heterogeneous network.