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.
|Title of host publication||Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019|
|Editors||Michael B. Matthews|
|Publisher||IEEE Computer Society|
|Number of pages||6|
|Publication status||Published - 2019 Nov|
|Event||53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019 - Pacific Grove, United States|
Duration: 2019 Nov 3 → 2019 Nov 6
|Name||Conference Record - Asilomar Conference on Signals, Systems and Computers|
|Conference||53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019|
|Period||19/11/3 → 19/11/6|
Bibliographical noteFunding Information:
This work was in part supported by Agency for Defense Development.
© 2019 IEEE.
All Science Journal Classification (ASJC) codes
- Signal Processing
- Computer Networks and Communications