TY  - INPR
TI  - BS Coordination Optimization in Integrated Sensing and Communication: A Stochastic Geometric View
UR  - http://dx.doi.org/10.1109/wcnc57260.2024.10570805
SP  - 1
EP  - 6
AV  - public
ID  - discovery10197224
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
PB  - Institute of Electrical and Electronics Engineers (IEEE)
Y1  - 2024///
A1  - Meng, K
A1  - Masouros, C
A1  - Chen, G
A1  - Liu, F
N2  - 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.
ER  -