Co-Designing Statistical MIMO Radar and In-band Full-Duplex Multi-User MIMO Communications

26 Jun 2020  ·  Jiawei Liu, Kumar Vijay Mishra, Mohammad Saquib ·

We consider a spectral sharing problem in which a statistical (or widely distributed) multiple-input-multiple-output (MIMO) radar and an in-band full-duplex (IBFD) multi-user MIMO (MU-MIMO) communications system concurrently operate within the same frequency band. Prior works on joint MIMO-radar-MIMO-communications (MRMC) systems largely focus on either colocated MIMO radars, half-duplex MIMO communications, single-user scenarios, omit practical constraints, or MRMC co-existence that employs separate transmit/receive units. In this paper, we present a co-design framework that addresses all of these issues. In particular, we jointly design the statistical MIMO radar codes, uplink (UL)/downlink (DL) precoders of in-band full-duplex multi-user MIMO communications, and corresponding receive filters using our proposed metric of compounded-and-weighted sum mutual information. This formulation includes practical constraints of UL/DL transmit powers, UL/DL quality-of-service, and peak-to-average-power ratio. We solve the resulting highly non-convex problem through a combination of block coordinate descent and alternating projection methods. Extensive numerical experiments show that our methods achieve monotonic convergence in a few iterations, improve radar target detection over conventional codes, and yield a higher achievable data rate than standard precoders.

PDF Abstract
No code implementations yet. Submit your code now



  Add Datasets introduced or used in this paper

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.


No methods listed for this paper. Add relevant methods here