IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
31 August-3 September 2020 // Virtual Conference

T02: Joint Radar-Communication Transmission for 5G and Beyond: Applications, State-of-the-art and the Road Ahead

Instructors

Dr Fan Liu, UCL UK
Professor Christos Masouros, UCL, UK
Institute of Communications and Connected Systems; Department of Electronic and Electrical Engineering, University College London

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£50 Tutorial only | Tutorial + Full Conference access from £120

Half-day Tutorial, Monday 31st August 9:00 (BST)
Further pricing details can be found on the registration page.

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Motivation

To avoid under-utilization of permanently allocated spectral resources, sharing of the frequency bands between radar and communication systems has attracted substantial attention.

Below 10 GHz, a large portion of spectral resources are primarily allocated to the radar systems, which have seen increasing cohabitation with wireless communication systems . At the higher frequencies such as the mmWave bands, the communication and radar platforms are also expected to achieve harmonic coexistence or even beneficial cooperation in the 5G network and beyond. With achieving spectral coexistence as one of its goals, research effort is well underway to address the issue of joint radar and communication designs.

This tutorial has been motivated by the recent increasing interest in: a) Exploitation of the radar spectrum for commercial wireless communication and b) Emerging applications requiring joint communication and sensing designs.

The possibility for radar communication coexistence (RCC) has been extensively explored over the past few years. As a step further, recent research efforts have been taken towards the direction of dual-functional radar-communication (DFRC) systems, where a single device provides both sensing and communication functionalities. Doing so enables a paradigm change, where previously competing transmissions can be jointly optimized.

This tutorial will cover the following topics:

  • Interference mitigation for radar and communication coexistence
  • Dual-functional radar-communication beamforming and waveform
  • optimization
  • Joint sensing and communication designs for vehicular networks
  • Future works and open problems in the area of joint radar communications design

Structure and content

  1. Introduction: Background and Applications
    • An overview of the background and application scenarios of the joint radar-communication technologies. We will give an introduction to the research motivations of joint radar-communication, from both civilian and military perspectives; an overview emerging applications that require joint sensing and communication designs; and introduce some basic principles of radar signal processing.
  2. Radar-Communication Coexistence
    • This part will overview the recent research progress on RCC. We will introduce the naive opportunistic spectrum sharing schemes, followed by interference channel estimation techniques between radar and communication systems. Then we will discuss advanced precoding techniques for interference mitigation between two systems, including closed-form and optimization-based designs.
  3. Dual-functional Radar-Communication
    • This part will overview the state-of-the-art approaches for DFRC designs. We will commence by reviewing the early contributions on DFRC, which mainly focus on temporal and spectral signal processing. As a step further, we will introduce more recent works on spatial signal processing for multiantenna DFRC systems. Finally, we will extend our discussion to the DFRC design in the 5G era that is supported by the massive MIMO and mmWave technologies.
  4. Radar-assisted Vehicular Network: Communication Served by Sensing
    • This part will provide an exemplary introduction on how to apply the DFRC techniques to the emerging vehicular applications. We will show that by leveraging the radar sensing functionality equipped on the roadside unit (RSU), the communication overheads in the vehicular links can be drastically reduced, which improves the spectral efficiency. Moreover, we will provide tractable approaches on novel predictive beamforming designs as well as on multi-beam power allocation, aiming to optimize radar sensing performance while guaranteeing the communication quality-of-service (QoS) for the vehicles.
  5. Q&A

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