Sensing Coverage Enhancement of Cellular Networks Via Mutual Interference Suppression

This paper explores sensing coverage in Integrated sensing and communication (ISAC) networks. We formulate the sensing optimization problem as a linearly constrained binary quadratic programming instance, accounting for mutual interference among base stations. Semi-definite relaxation based branch a...

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Vydáno v:2024 27th International Symposium on Wireless Personal Multimedia Communications (WPMC) s. 1 - 5
Hlavní autoři: Wang, Bowen, Li, Nanxi, Zhu, Jianchi, She, Xiaoming, Chen, Peng
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 17.11.2024
Témata:
Base stations
binary quadratic programming
Cellular networks
Collaboration
collaborative sensing
Integrated sensing and communication
integrated sensing and communication (ISAC)
Multimedia communication
mutual interference
Network topology
Optimization
Quadratic programming
sensing coverage
Wireless communication
Wireless sensor networks
ISSN:1882-5621
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Shrnutí:This paper explores sensing coverage in Integrated sensing and communication (ISAC) networks. We formulate the sensing optimization problem as a linearly constrained binary quadratic programming instance, accounting for mutual interference among base stations. Semi-definite relaxation based branch and bound method and successive convex approximation method are developed respectively for homogeneous and heterogeneous networks. The sensing coverage of any given network topology can ultimately be obtained. Numerical results demonstrate the tremendous gains of collaboration, and the feasibility of nearoptimal performance attainment with limited number of collaborating base station inputs.
ISSN:1882-5621
DOI:10.1109/WPMC63271.2024.10863176