Power Allocation and Co-Design of Multicarrier Communication and Radar Systems for Spectral Coexistence

Fangzhou Wang, Hongbin Li, Mark A. Govoni

Research output: Contribution to journalArticlepeer-review

82 Scopus citations

Abstract

This paper explores multicarrier waveforms to improve the spectrum efficiency of radar and communication systems that cooperatively coexist in the same bandwidth. We propose two joint design paradigms based on sharing and allocation, respectively. The allocation-based design brings in the advantage of interference avoidance and easy implementation, while the sharing-based joint design offers additional gain in spectrum efficiency. For both design paradigms, the communication throughput is maximized under a minimum signal-to-interference-plus-noise ratio (SINR) constraint for the radar along with power constraints. The sharing-based design involves non-convex optimization, which is solved via an alternating direction sequential convex programming (AD-SCP) approach. Meanwhile, the allocation-based design is a mixed integer nonlinear optimization problem, which is solved by the optimum but computationally prohibitive branch and bound algorithm, as well as a suboptimum penalized SCP method. Numerical results show that the proposed joint design paradigms significantly improve the spectrum efficiency over a conventional greedy search based allocation scheme.

Original languageEnglish
Article number8728046
Pages (from-to)3818-3831
Number of pages14
JournalIEEE Transactions on Signal Processing
Volume67
Issue number14
DOIs
StatePublished - 15 Jul 2019

Keywords

  • Spectral coexistence
  • joint resource allocation
  • multicarrier systems
  • non-convex optimization

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