English

Interference Exploitation for Radar and Cellular Coexistence: The Power-Efficient Approach

Information Theory 2017-05-01 v1 math.IT

Abstract

We propose a novel approach to enable the coexistence between Multi-Input-Multi-Output (MIMO) radar and downlink multi-user Multi-Input-Single-Output (MU-MISO) communication system. By exploiting the constructive multi-user interference (MUI), the proposed approach trades-off useful MUI power for reducing the transmit power, to obtain a power efficient transmission. This paper focuses on two optimization problems: a) Transmit power minimization at the base station (BS) while guaranteeing the receive signal-to-interference-plus-noise ratio (SINR) level of downlink users and the interference-to-noise ratio (INR) level to radar; b) Minimization of the interference from BS to radar for a given requirement of downlink SINR and transmit power budget. To reduce the computational overhead of the proposed scheme in practice, an algorithm based on gradient projection is designed to solve the power minimization problem. In addition, we investigate the trade-off between the performance of radar and communication, and analytically derive the key metrics for MIMO radar in the presence of the interference from the BS. Finally, a robust power minimization problem is formulated to ensure the effectiveness of the proposed method in the case of imperfect Channel State Information (CSI). Numerical results show that the proposed method achieves a significant power saving compared to conventional approaches, while obtaining a favorable performance-complexity trade-off.

Keywords

Cite

@article{arxiv.1704.08920,
  title  = {Interference Exploitation for Radar and Cellular Coexistence: The Power-Efficient Approach},
  author = {Fan Liu and Christos Masouros and Ang Li and Tharmalingam Ratnarajah and Jianming Zhou},
  journal= {arXiv preprint arXiv:1704.08920},
  year   = {2017}
}

Comments

13 pages, 11 figures, submitted to IEEE Transactions on Signal Processing

R2 v1 2026-06-22T19:30:53.611Z