A Comparative Study of Analog/Digital Self-Interference Cancellation for Full Duplex Radios

Jong Woo Kwak, Min Soo Sim, In Woong Kang, Jong Sung Park, Jaedon Park, Chan Byoung Chae

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Self-interference (SI) is the main obstacle to fullduplex radios. To overcome the SI, researchers have proposed several analog and digital domain self-interference cancellation (SIC) techniques. How well the digital cancellation works depends on the results of analog cancellation. Therefore, to analyze overall SIC performance, one should do so in an integrated manner. In this paper, we build a simulator that can analyze the performance of analog and digital SIC techniques. Through this simulator, we can analyze the overall SIC performance within various system parameters such as the resolution of an analog-to-digital converter (ADC) and/or nonlinearity of a power amplifier (PA). With our simulator, we expect that configurations and tuning algorithms of an active analog canceller can be optimized before real hardware implementation.

Original languageEnglish
Title of host publicationConference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages1114-1119
Number of pages6
ISBN (Electronic)9781728143002
DOIs
Publication statusPublished - 2019 Nov
Event53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019 - Pacific Grove, United States
Duration: 2019 Nov 32019 Nov 6

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2019-November
ISSN (Print)1058-6393

Conference

Conference53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
Country/TerritoryUnited States
CityPacific Grove
Period19/11/319/11/6

Bibliographical note

Funding Information:
This work was in part supported by Agency for Defense Development.

Publisher Copyright:
© 2019 IEEE.

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications

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