UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Robust MIMO Beamforming for Cellular and Radar Coexistence

Liu, F; Masouros, C; Li, A; Ratnarajah, T; (2017) Robust MIMO Beamforming for Cellular and Radar Coexistence. IEEE Wireless Communications Letters , 6 (3) pp. 374-377. 10.1109/LWC.2017.2693985. Green open access

[thumbnail of Masouros_07898445.pdf]
Preview
Text
Masouros_07898445.pdf - Published Version

Download (314kB) | Preview

Abstract

In this letter, we consider the coexistence and spectrum sharing between downlink multi-user multiple-input-multiple-output (MU-MIMO) communication and an MIMO radar. For a given performance requirement of the downlink communication system, we design the transmit beamforming such that the detection probability of the radar is maximized. While the original optimization problem is non-convex, we exploit the monotonically increasing relationship of the detection probability with the non-centrality parameter of the resulting probability distribution to obtain a convex lower-bound optimization. The proposed beamformer is designed to be robust to imperfect channel state information (CSI). Simulation results verify that the proposed approach facilitates the coexistence between radar and communication links, and illustrates a scalable tradeoff between the two systems' performance.

Type: Article
Title: Robust MIMO Beamforming for Cellular and Radar Coexistence
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/LWC.2017.2693985
Publisher version: http://doi.org/10.1109/LWC.2017.2693985
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
Keywords: Science & Technology, Technology, Computer Science, Information Systems, Engineering, Electrical & Electronic, Telecommunications, Computer Science, Engineering, MU-MIMO downlink, radar-communication coexistence, spectrum sharing, robust beamforming, TARGET DETECTION
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1534113
Downloads since deposit
144Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item