Abstract
We propose a novel approach to enable the coexistence between Multi-Input-Multi-Output (MIMO) radar and downlink multiuser multi-input single-output communication system. By exploiting the constructive multiuser interference (MUI), the proposed approach tradeoff 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 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 tradeoff 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. Numerical results show that the proposed method achieves a significant power saving compared to conventional approaches, while obtaining a favorable performance-complexity tradeoff.
Highlights
I N RESPONSE to the increasing demand for wireless communication devices and services, the FederalManuscript received August 30, 2017; revised February 21, 2018; accepted April 29, 2018
Motivated by the robust beamforming in the broader area of cognitive radio networks [16], [17], the work [18] investigated the robust MIMO beamforming for the coexistence of radar and downlink multi-user MIMO (MU-MIMO) communication, where the radar detection probability was maximized while guaranteeing the transmit power of BS and the receive SINR for each downlink user using Semidefinite Relaxation (SDR) techniques [19], [20]
We develop a novel precoding optimization approach for the spectrum sharing between MIMO radar and downlink MU-MISO communication based on the concept of constructive interference (CI)
Summary
I N RESPONSE to the increasing demand for wireless communication devices and services, the Federal. Motivated by the robust beamforming in the broader area of cognitive radio networks [16], [17], the work [18] investigated the robust MIMO beamforming for the coexistence of radar and downlink MU-MIMO communication, where the radar detection probability was maximized while guaranteeing the transmit power of BS and the receive SINR for each downlink user using Semidefinite Relaxation (SDR) techniques [19], [20] In such optimizations, all the interference from other downlink users is regarded as harmful to the user of interest. Notations: Matrices are denoted by bold uppercase letters (i.e., H), bold lowercase letters are used for vectors (i.e., β), subscripts indicate the rows of a matrix unless otherwise specified (i.e., hi is the i-th column of H), scalars are denoted by normal font (i.e., Rm ), tr(·) stands for the trace of the argument, (·)T , (·)∗ and (·)H stand for transpose, complex conjugate and Hermitian transpose respectively, Re(·) and Im(·) denote the real and imaginary part of the argument
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