Institute of Communications and Connected Systems


Combining MIMO Radar with MU-MIMO Communications: More than Coexistence

image of radio antenna surrounded by waves and data

6 July 2018

Creating new techniques and waveforms for communication systems and radar coexistence

Funder H2020
Amount 140 000 GBP (total)

Project website https://ec.europa.eu

Research theme logos - Intelligent High Capacity Networks, Ubiquitous Connectivity, Infrastructures for Smart Services and Applications
Research topics MIMO Radar | Dual functional comms-radar | Autonomous cars


Frequency spectrum has nowadays become one of the most valuable assets, as the wireless communications devices and services are growing explosively.

Realising the scarcity of the spectrum, future wireless systems are exploring the feasibility to use the spectrum that is currently occupied by radar systems, such as 3.4GHz and 5.6GHz bands used by airborne and shipborne radars.

With the allocation of available spectrum to newer communication technologies, the interference in radarbands is on the rise consequently. Therefore, effective interference management approaches are needed for achieving the spectral coexistence between the current radar and communication services.

Image showing schematic of the proposed technique
More fundamentally, dual-functional systems that can simultaneously perform remote sensing and transmit useful information via classical communications could be an essential solution in the future, which not only ensures the spectral coexistence but also the improvement for both radar and communication’s performance.

The goal of ComRad is to develop novel signal processing techniques for transmit and receive beamforming, waveform design, signal classification/recognition, and channel estimation, to enable the exploitation of radar spectrum for communication applications, with particular focus on 1) coexisting communication and radar systems (C-ComRad), and 2) Dual-functional Communication-Radar Systems (D-ComRad).

The main research approaches that will be employed include the cutting-age concepts of interference exploitation, manifold based optimization and machine learning. The research outputs will contribute to the efficient usage of the spectrum, which is closely related to the economic future of the European Union (EU), especially the digital communication for essential public services such as defense, police and emergency services. 


  • F. Liu, L. Zhou, C. Masouros, A. Li, W. Luo, A. Petropulu “Towards Dual-functional Radar-Communication Systems: Optimal Waveform Design”, IEEE Trans. Sig. Proc., in press

  • F. Liu, C. Masouros, A. Li., T. Ratnarajah, J. Zhou, “MIMO Radar and Cellular Coexistence: A Power-Efficient Approach Enabled by Interference Exploitation”, IEEE Trans. Sig. Proc., vol. 66, no. 14, pp. 3681-3695, July15, 15 2018, DOI: 10.1109/TSP.2018.2833813

  • F. Liu and C. Masouros, A. Li, H. Sun, L. Hanzo “MU-MIMO Communications and MIMO Radar: From Co-existence to Joint Transmission”, IEEE Trans. Wireless Comms., vol. 17, no. 4, pp. 2755-2770, April 2018, DOI: 10.1109/TWC.2018.2803045