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Energy Efficiency Optimization in Radar-Communication Spectrum Sharing

Grossi, Emanuele ; Lops, Marco ; Venturino, Luca

IEEE transactions on signal processing, 2021, Vol.69, p.3541-3554 [Periódico revisado por pares]

New York: IEEE

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Título:
Energy Efficiency Optimization in Radar-Communication Spectrum Sharing
Autor: Grossi, Emanuele ; Lops, Marco ; Venturino, Luca
Assuntos: Clutter ; Cognition ; Communication systems ; Communications systems ; Covariance matrices ; Energy efficiency ; green communications ; joint system design ; Linear filters ; MIMO communications ; Optimization ; Performance assessment ; Radar ; Radar antennas ; Radar receivers ; radar-communications convergence ; Receivers ; shared spectrum access for radar and communications (SSPARC) ; Spectral coexistence ; Surveillance radar ; surveillance radars ; Time synchronization ; Transmitters
É parte de: IEEE transactions on signal processing, 2021, Vol.69, p.3541-3554
Descrição: Energy efficiency, possibly coupled with cognition-based and spectrum-sharing architectures, is a key enabling technology for green communications in 5G-and-beyond standards. In this context, the present paper considers a multiple-input multiple-output communication system cooperatively coexisting with a surveillance radar: the objective function is the communication system energy efficiency, while radar operation is safeguarded by constraining the minimum received signal-to-disturbance ratio for a set of range-azimuth cells of the controlled scene, and no time synchronization between them is assumed. The degrees of freedom are the transmit powers of both systems, the space-time communication codebook, and the linear filters at the radar receiver. The resulting optimization problem is non-convex, due to both the objective function and the presence of signal-dependent interference (clutter): we develop a block-coordinate-ascent approximate solution and offer a thorough performance assessment, so as to elicit the merits of the proposed approach, along with the interplay among the achievable energy efficiency, the density of scatterers in the environment, and the size of the set of protected radar cells.
Editor: New York: IEEE
Idioma: Inglês

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Energy Efficiency Optimization in Radar-Communication Spectrum Sharing

Grossi, Emanuele ; Lops, Marco ; Venturino, Luca

New York: IEEE

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