MIMO Radar and Cellular Coexistence: A Power-Efficient Approach Enabled by Interference Exploitation

被引:187
作者
Liu, Fan [1 ]
Masouros, Christos [2 ]
Li, Ang [2 ]
Ratnarajah, Tharmalingam [3 ]
Zhou, Jianming [1 ]
机构
[1] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China
[2] UCL, Dept Elect & Elect Engn, London WC1E 7JE, England
[3] Univ Edinburgh, Inst Digital Commun, Sch Engn, Edinburgh EH9 3JL, Midlothian, Scotland
基金
中国国家自然科学基金; 英国工程与自然科学研究理事会;
关键词
MU-MISO downlink; radar-communication coexistence; spectrum sharing; constructive interference; TARGET DETECTION; CONSTRUCTIVE INTERFERENCE; ANTENNA SELECTION; DOWNLINK; PERFORMANCE; SYSTEMS;
D O I
10.1109/TSP.2018.2833813
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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 proposedmethod achieves a significant power saving compared to conventional approaches, while obtaining a favorable performance-complexity tradeoff.
引用
收藏
页码:3681 / 3695
页数:15
相关论文
共 48 条
[1]  
Abdelhady AM, 2016, IEEE GLOB CONF SIG, P1, DOI [10.1109/PN.2016.7537942, 10.1109/GlobalSIP.2016.7905771]
[2]   Constructive Interference through Symbol Level Precoding for Multi-level Modulation [J].
Alodeh, Maha ;
Chatzinotas, Symeon ;
Ottersten, Bjorn .
2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2015,
[3]   Adaptive code allocation for interference management on the downlink of DS-CDMA systems [J].
Alsusa, Emad ;
Masouros, Christos .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2008, 7 (07) :2420-2424
[4]   Large Scale Antenna Selection and Precoding for Interference Exploitation [J].
Amadori, Pierluigi Vito ;
Masouros, Christos .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2017, 65 (10) :4529-4542
[5]   Constant Envelope Precoding by Interference Exploitation in Phase Shift Keying-Modulated Multiuser Transmission [J].
Amadori, Pierluigi Vito ;
Masouros, Christos .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2017, 16 (01) :538-550
[6]   Interference-Driven Antenna Selection for Massive Multiuser MIMO [J].
Amadori, Pierluigi Vito ;
Masouros, Christos .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2016, 65 (08) :5944-5958
[7]  
[Anonymous], 1999, SPRINGER SCI
[8]  
[Anonymous], 1998, FUNDEMENTALS STAT SI
[9]  
Beck A., 2002, THESIS
[10]   Target detection and localization using. MIMO radars and sonars [J].
Bekkerman, Ilya ;
Tabrikian, Joseph .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (10) :3873-3883