Reference : Heterogeneously-Distributed Joint Radar Communications: Bayesian Resource Allocation
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Security, Reliability and Trust
http://hdl.handle.net/10993/49272
Heterogeneously-Distributed Joint Radar Communications: Bayesian Resource Allocation
English
Wu, Linlong []
Mishra, Kumar Vijay []
Mysore Rama Rao, Bhavani Shankar mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
15-Nov-2021
2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
IEEE
Yes
Yes
International
978-1-6654-2851-4
2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
27-09-2021 to 30-09-2021
IEEE
Lucca
Italy
[en] Due to spectrum scarcity, the coexistence of radar and wireless communication has gained substantial research interest recently. Among many scenarios, the heterogeneously-distributed 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.
http://hdl.handle.net/10993/49272
10.1109/SPAWC51858.2021.9593222

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