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

Fuente: arXiv
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Hauptverfasser: Meng, Kaitao, Masouros, Christos, Chen, Guangji, Liu, Fan
Format: Preprint
Veröffentlicht: 2024
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author Meng, Kaitao
Masouros, Christos
Chen, Guangji
Liu, Fan
author_facet Meng, Kaitao
Masouros, Christos
Chen, Guangji
Liu, Fan
contents 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 expressions 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.
format Preprint
id arxiv_https___arxiv_org_abs_2401_04918
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle BS Coordination Optimization in Integrated Sensing and Communication: A Stochastic Geometric View
Meng, Kaitao
Masouros, Christos
Chen, Guangji
Liu, Fan
Information Theory
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 expressions 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.
title BS Coordination Optimization in Integrated Sensing and Communication: A Stochastic Geometric View
topic Information Theory
url https://arxiv.org/abs/2401.04918