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MU-MIMO Communications with MIMO Radar: From Co-Existence to Joint Transmission

  • Fan Liu
  • , Christos Masouros
  • , Ang Li
  • , Huafei Sun
  • , Lajos Hanzo
  • Beijing Institute of Technology
  • University College London
  • University of Southampton

Research output: Contribution to journalArticlepeer-review

951 Scopus citations

Abstract

Beamforming techniques are proposed for a joint multi-input-multi-output (MIMO) radar-communication (RadCom) system, where a single device acts as radar and a communication base station (BS) by simultaneously communicating with downlink users and detecting radar targets. Two operational options are considered, where we first split the antennas into two groups, one for radar and the other for communication. Under this deployment, the radar signal is designed to fall into the null-space of the downlink channel. The communication beamformer is optimized such that the beampattern obtained matches the radar's beampattern while satisfying the communication performance requirements. To reduce the optimizations' constraints, we consider a second operational option, where all the antennas transmit a joint waveform that is shared by both radar and communications. In this case, we formulate an appropriate probing beampattern, while guaranteeing the performance of the downlink communications. By incorporating the SINR constraints into objective functions as penalty terms, we further simplify the original beamforming designs to weighted optimizations, and solve them by efficient manifold algorithms. Numerical results show that the shared deployment outperforms the separated case significantly, and the proposed weighted optimizations achieve a similar performance to the original optimizations, despite their significantly lower computational complexity.

Original languageEnglish
Pages (from-to)2755-2770
Number of pages16
JournalIEEE Transactions on Wireless Communications
Volume17
Issue number4
DOIs
StatePublished - Apr 2018
Externally publishedYes

Keywords

  • MU-MISO downlink
  • Riemannian manifold
  • beamforming
  • beampattern design
  • radar-communication co-existence

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