TY - JOUR
T1 - MIMO Radar and cellular coexistence
T2 - A power-efficient approach enabled by interference exploitation
AU - Liu, Fan
AU - Masouros, Christos
AU - Li, Ang
AU - Ratnarajah, Tharmalingam
AU - Zhou, Jianming
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/15
Y1 - 2018/7/15
N2 - 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.
AB - 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.
KW - MU-MISO downlink
KW - constructive interference
KW - radar-communication coexistence
KW - spectrum sharing
UR - http://www.scopus.com/inward/record.url?scp=85046452054&partnerID=8YFLogxK
U2 - 10.1109/TSP.2018.2833813
DO - 10.1109/TSP.2018.2833813
M3 - Article
AN - SCOPUS:85046452054
SN - 1053-587X
VL - 66
SP - 3681
EP - 3695
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
IS - 14
ER -