University of Sussex
Browse
IET Signal Processing - 2022 - Kaushik - Towards 6G Spectrally efficient joint radar and communication with radio.pdf (1.26 MB)

Towards 6G: Spectrally efficient joint radar and communication with radio frequency selection, interference and hardware impairments (invited paper)

Download (1.26 MB)
Version 2 2023-06-12, 07:46
Version 1 2023-06-10, 03:07
journal contribution
posted on 2023-06-12, 07:46 authored by Aryan KaushikAryan Kaushik, Evangelos Vlachos, John Thompson, Maziar NekoveeMaziar Nekovee, Fraser Coutts
The joint radar-communication (JRC) system is envisioned as an emerging sixth generation (6G) technology to tackle spectral congestion and hardware limitations by jointly implementing the communication and radar sensing on the same hardware platform and using the common radio frequency (RF) resources. Joint radar-communication systems with a multi-antenna setup leads to higher degrees of freedom, and hybrid beamforming can be exploited to achieve lower hardware complexity than conventional fully digital systems. This paper aims to design a spectral efficiency maximisation approach for a 6G inclined JRC system with hybrid beamforming and multi-antenna setup while considering the interference between communication and radar operations and hardware impairments in the system. The rate expressions for communication and radar operations are defined, and the joint spectral efficiency is maximised via optimising the number of RF chains using an efficient selection algorithm taking into account the interference of one operation to the other and system hardware distortion. The simulation results are shown to support the effectiveness of the proposed approach, and they are compared with that of existing fully digital and hybrid beamforming based baseline methods with fixed number of RF chains. The proposed approach also exhibits a desirable communication-radar trade-off in terms of spectral efficiency gains.

History

Publication status

  • Published

File Version

  • Published version

Journal

IET Signal Processing

ISSN

1751-9683

Publisher

Wiley

Page range

1-13

Department affiliated with

  • Engineering and Design Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2022-04-12

First Open Access (FOA) Date

2022-04-26

First Compliant Deposit (FCD) Date

2022-04-11

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC