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
10.1109/twc.2024.3483031.
(In press).
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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.
| Type: | Article |
|---|---|
| Title: | Network-Level Integrated Sensing and Communication: Interference Management and BS Coordination Using Stochastic Geometry |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/twc.2024.3483031 |
| Publisher version: | http://dx.doi.org/10.1109/twc.2024.3483031 |
| 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. |
| Keywords: | Integrated sensing and communication; multi-cell networks; network performance analysis; stochastic geometry; interference nulling; cooperative sensing and communication |
| 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/10199011 |
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