An additive noise modeling technique for accurate statistical study of residual RF hardware impairments
Paper in proceedings, 2019

Hardware impairments are the inevitable limiting factors in radio frequency communication systems, and in particular in mm-wave, the impairments can severely affect system performance. In this paper, we propose an additive noise modeling technique for modeling and analyzing the residual hardware impairments, more accurately than previously done in the literature. We analyze the effects of joint residual phase noise and IQI in both transmitter and receiver by using additive noise modeling as a representation method and indicate how other impairments can be described in the same framework. We derive the signal to distortion plus noise ratio (SDNR) for both the joint and the individual effects of impairments and validate the formulations with simulations which also acknowledge the usefulness of the additive noise modeling as a mean for accurate hardware impairments study.

Variance of error

Hardware impairments

Additive noise modeling

IQI

Residual phase noise

Author

Mohammad Hossein Moghaddam

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Sina Rezaei Aghdam

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Thomas Eriksson

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

2019 IEEE International Conference on Communications Workshops, ICC Workshops 2019 - Proceedings

8756932

2019 IEEE International Conference on Communications Workshops, ICC Workshops 2019
Shanghai, China,

Silicon-based Ka-band massive MIMO antenna systems for new telecommunication services (SILIKA)

European Commission (Horizon 2020), 2016-09-01 -- 2020-08-31.

Subject Categories

Telecommunications

Control Engineering

Signal Processing

DOI

10.1109/ICCW.2019.8756932

More information

Latest update

7/15/2020