Power and Resource Allocation for Downlink Pilot-Based Cell-Free Integrated Sensing and Communication Systems

In this paper, an integrated sensing and communication (ISAC) system was proposed under cell-free architecture with different power allocation schemes for both communication and sensing functions. In addition to using uplink (UL) pilot transmission for channel estimation, a group of pre-designed orthogonal downlink (DL) pilot sequences are inserted and transmitted from each cooperative access point (AP) towards the user equipments (UEs). The inserted DL pilots in cell-free ISAC are utilized for both channel estimation in communication and cooperative localization in radar sensing. Based on the ISAC strategy, a power allocation scheme is proposed with the objective of minimizing the maximum channel estimation error for each user, under the power constraints of APs and minimum mean square error constraints of the localization. The full-power scheme which APs consume all the available power during the DL phase is also studied and analyzed. The performance of the proposed ISAC strategy is evaluated under a realistic highway scenario, and compared to the existing non-DL strategies. Additionally, we investigate the impact of the pilot ratio under a constrained signal length, as well as the impact of the pilot proportion that the pilot length to the entire signal frame length. Simulation results show that the performances of both channel estimation and localization can be significantly improved at a relatively low cost of extra power needed for APs. Moreover, the analysis provides insights into optimizing the DL/UL pilot ratio and pilot proportion which can significantly enhance both channel estimation and localization accuracy, while ensuring sufficient resources remain available for data payload.

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Publication Details

Journal
IEEE Journal on Selected Areas in Communications
Published
2025-09-16
DOI
https://doi.org/10.1109/jsac.2025.3610401
Primary Topic
Advanced MIMO Systems Optimization
Type
article
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article

Power and Resource Allocation for Downlink Pilot-Based Cell-Free Integrated Sensing and Communication Systems

Changrun Chen, Jiangzhou Wang, Jia-Wei Liao, Fangyuan Chen et al.
IEEE Journal on Selected Areas in Communications
Advanced MIMO Systems Optimization
article

Power and Resource Allocation for Downlink Pilot-Based Cell-Free Integrated Sensing and Communication Systems

Changrun Chen, Jiangzhou Wang, Jia-Wei Liao, Fangyuan Chen, Huiling Zhu
article en

Abstract

In this paper, an integrated sensing and communication (ISAC) system was proposed under cell-free architecture with different power allocation schemes for both communication and sensing functions. In addition to using uplink (UL) pilot transmission for channel estimation, a group of pre-designed orthogonal downlink (DL) pilot sequences are inserted and transmitted from each cooperative access point (AP) towards the user equipments (UEs). The inserted DL pilots in cell-free ISAC are utilized for both channel estimation in communication and cooperative localization in radar sensing. Based on the ISAC strategy, a power allocation scheme is proposed with the objective of minimizing the maximum channel estimation error for each user, under the power constraints of APs and minimum mean square error constraints of the localization. The full-power scheme which APs consume all the available power during the DL phase is also studied and analyzed. The performance of the proposed ISAC strategy is evaluated under a realistic highway scenario, and compared to the existing non-DL strategies. Additionally, we investigate the impact of the pilot ratio under a constrained signal length, as well as the impact of the pilot proportion that the pilot length to the entire signal frame length. Simulation results show that the performances of both channel estimation and localization can be significantly improved at a relatively low cost of extra power needed for APs. Moreover, the analysis provides insights into optimizing the DL/UL pilot ratio and pilot proportion which can significantly enhance both channel estimation and localization accuracy, while ensuring sufficient resources remain available for data payload.

IEEE Journal on Selected Areas in CommunicationsVol. 44
University of Kent (GB), Jinchuan (China) (CN), Southeast University (CN)
Openalex Percentile: Top 76%
Advanced MIMO Systems Optimization
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