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BS Coordination Optimization in Integrated Sensing and Communication: A Stochastic Geometric View

Meng, K; Masouros, C; Chen, G; Liu, F; (2024) BS Coordination Optimization in Integrated Sensing and Communication: A Stochastic Geometric View. In: Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC) 2024. (pp. pp. 1-6). Institute of Electrical and Electronics Engineers (IEEE) (In press). Green open access

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Abstract

In this study, we explore integrated sensing and communication (ISAC) networks to strike a more effective balance between sensing and communication (S&C) performance at the network scale. We leverage stochastic geometry to analyze the S&C performance, shedding light on critical cooperative dependencies of ISAC networks. According to the derived expres-sions of network performance, we optimize the user/target loads and the cooperative base station cluster sizes for S&C to achieve a flexible trade-off between network-scale S&C performance. It is observed that the optimal strategy emphasizes the full utilization of spatial resources to enhance multiplexing and diversity gain when maximizing communication ASE. In contrast, for sensing objectives, parts of spatial resources are allocated to cancel inter-cell sensing interference to maximize sensing ASE. Simulation results validate that the proposed ISAC scheme realizes a remarkable enhancement in overall S&C network performance.

Type: Proceedings paper
Title: BS Coordination Optimization in Integrated Sensing and Communication: A Stochastic Geometric View
Event: 2024 IEEE Wireless Communications and Networking Conference (WCNC)
Location: Dubai, United Arab Emirates
Dates: 21st-24th April 2024
ISBN-13: 979-8-3503-0358-2
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/WCNC57260.2024.10570805
Publisher version: http://dx.doi.org/10.1109/wcnc57260.2024.10570805
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10197224
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