English

Fluid-Antenna-Enabled Integrated Bistatic Sensing and Backscatter Communication Systems

Signal Processing 2026-02-12 v1

Abstract

This paper studies a fluid-antenna-enabled integrated bistatic sensing and backscatter communication system for future networks where connectivity, power delivery, and environmental awareness are jointly supported by the same infrastructure. A multi-antenna base station (BS) with transmitting fluid antennas serves downlink users, energizes passive tags, and illuminates radar targets, while a spatially separated multi-antenna reader decodes tag backscatter and processes radar echoes to avoid the strong self-interference that would otherwise obscure weak returns at the BS. The coexistence of tags and targets, however, induces severe near--far disparities and multi-signal interference, which can be mitigated by fluid antennas through additional spatial degrees of freedom that reshape the multi-hop channels. We formulate a transmit-power minimization problem that jointly optimizes the BS information beamformers, sensing covariance matrix, reader receive beamformers, tag reflection coefficients, and fluid-antenna (FA) positions under heterogeneous quality of service constraints for communication, backscatter, and sensing, as well as energy-harvesting and FA geometry requirements. To tackle the resulting non-convex problem, we develop an alternating-optimization block-coordinate framework that solves four tractable subproblems using semidefinite relaxation, majorization--minimization, and successive convex approximation. Numerical results show consistent transmit-power savings over fixed-position antennas and zero-forcing baselines, achieving about 13.7% and 54.5% reductions, respectively.

Keywords

Cite

@article{arxiv.2602.10958,
  title  = {Fluid-Antenna-Enabled Integrated Bistatic Sensing and Backscatter Communication Systems},
  author = {A. Abdelaziz Salem and Saeed Abdallah and Khawla Alnajjar and Mahmoud A. Albreem and Mohamed Saad and Hayssam Dahrouj and Hesham Elsawy},
  journal= {arXiv preprint arXiv:2602.10958},
  year   = {2026}
}
R2 v1 2026-07-01T10:32:03.698Z