eprintid: 10199011
rev_number: 9
eprint_status: archive
userid: 699
dir: disk0/10/19/90/11
datestamp: 2024-10-29 11:11:17
lastmod: 2025-02-03 10:38:37
status_changed: 2024-10-29 11:11:17
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Meng, Kaitao
creators_name: Masouros, Christos
creators_name: Chen, Guangji
creators_name: Liu, Fan
title: Network-Level Integrated Sensing and Communication: Interference Management and BS Coordination Using Stochastic Geometry
ispublished: pub
divisions: UCL
divisions: B04
divisions: F46
keywords: Integrated sensing and communication; multi-cell networks; 
network performance analysis; stochastic geometry; 
interference nulling; cooperative sensing and communication
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: In this work, we study integrated sensing and communication (ISAC) networks with the aim of effectively balancing sensing and communication (S&C) performance at the network level. Focusing on monostatic sensing, the tool of stochastic geometry is exploited to capture the S&C performance, which facilitates us to illuminate key cooperative dependencies in the ISAC network and optimize key network-level parameters. Based on the derived tractable expression of area spectral efficiency (ASE), we formulate the optimization problem to maximize the network performance from the view point of two joint S&C metrics. Towards this end, we further jointly optimize the cooperative BS cluster sizes for S&C and the serving/probing numbers of users/targets to achieve a flexible tradeoff between S&C at the network level. It is verified that interference nulling can effectively improve the average data rate and radar information rate. Surprisingly, the optimal communication tradeoff for ASE maximization tends to use all spatial resources for multiplexing and diversity gain, without interference nulling. In contrast, for sensing objectives, resource allocation tends to eliminate interference, especially when there are sufficient antenna resources, because inter-cell interference becomes a more dominant factor affecting sensing performance. This work first reveals the insight into spatial resource allocation for ISAC networks. Furthermore, we prove that the ratio of the optimal number of users and the number of transmit antennas is a constant value when the communication performance is optimal. Simulation results demonstrate that the proposed cooperative ISAC scheme achieves a substantial gain in S&C performance at the network level.
date: 2024-12
date_type: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
official_url: http://dx.doi.org/10.1109/twc.2024.3483031
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2330965
doi: 10.1109/twc.2024.3483031
lyricists_name: Masouros, Christos
lyricists_name: Meng, Kaitao
lyricists_id: CMASO14
lyricists_id: KMENG45
actors_name: Meng, Kaitao
actors_id: KMENG45
actors_role: owner
full_text_status: public
publication: IEEE Transactions on Wireless Communications
volume: 23
number: 12
pagerange: 19365  -19381
issn: 1536-1276
citation:        Meng, Kaitao;    Masouros, Christos;    Chen, Guangji;    Liu, Fan;      (2024)    Network-Level Integrated Sensing and Communication: Interference Management and BS Coordination Using Stochastic Geometry.                   IEEE Transactions on Wireless Communications , 23  (12)   19365 -19381.    10.1109/twc.2024.3483031 <https://doi.org/10.1109/twc.2024.3483031>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10199011/1/Network-Level_Integrated_Sensing_and_Communication_Interference_Management_and_BS_Coordination_Using_Stochastic_Geometry.pdf