eprintid: 10197224
rev_number: 10
eprint_status: archive
userid: 699
dir: disk0/10/19/72/24
datestamp: 2024-09-19 13:31:10
lastmod: 2024-09-19 13:31:10
status_changed: 2024-09-19 13:31:10
type: proceedings_section
metadata_visibility: show
sword_depositor: 699
creators_name: Meng, K
creators_name: Masouros, C
creators_name: Chen, G
creators_name: Liu, F
title: BS Coordination Optimization in Integrated Sensing and Communication: A Stochastic Geometric View
ispublished: inpress
divisions: UCL
divisions: B04
divisions: F46
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 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.
date: 2024
date_type: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
official_url: http://dx.doi.org/10.1109/wcnc57260.2024.10570805
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2301580
doi: 10.1109/WCNC57260.2024.10570805
isbn_13: 979-8-3503-0358-2
lyricists_name: Masouros, Christos
lyricists_name: Meng, Kaitao
lyricists_id: CMASO14
lyricists_id: KMENG45
actors_name: Masouros, Christos
actors_id: CMASO14
actors_role: owner
full_text_status: public
pres_type: paper
publication: IEEE Wireless Communications and Networking Conference, WCNC
pagerange: 1-6
event_title: 2024 IEEE Wireless Communications and Networking Conference (WCNC)
event_location: Dubai, United Arab Emirates
event_dates: 21st-24th April 2024
book_title: Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC) 2024
citation:        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   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10197224/1/1570967633%20paper.pdf