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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 11, 2018.
Abstract: The performance of co-time co-frequency full duplex (CCDF) communication systems is limited by the self-interference (SI), which is the result of using the same frequency for transmission and reception. However, current communication systems use separate frequencies for transmission and reception, respectively. Therefore, SI is an important issue to be fixed for future-generation systems. As the radio frequency (RF) spectrum is very scared and a CCDF system has the potential to reduce the current spectrum use by half. In this paper, a CCDF communication system is modeled and a combination of RF and digital cancellations is used to mitigate the SI. The simulation results reveal that the proposed combination of RF and digital cancellation achieve the bit-error-rate of 10-11 at an interference-to-signal ratio of 10 dB, which is satisfying value for CCDF communication. The achieved efficiency of the proposed system is 13 bits/sec/Hz at a signal-to-noise ratio of 50 dB. The antenna separation of 35 dB is considered for the proposed model to keep the data loss as minimum as possible. The performance can be improved further by increasing digital-to-analog converter bits but with added complexity.
Sajjad Ali Memon, Faisal Ahmed Dahri, Farzana Rauf Abro and Faisal Karim Shaikh, “Self Interference Cancellation in Co-Time-Co-Frequency Full Duplex Cellular Communication” International Journal of Advanced Computer Science and Applications(IJACSA), 9(11), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091148
@article{Memon2018,
title = {Self Interference Cancellation in Co-Time-Co-Frequency Full Duplex Cellular Communication},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091148},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091148},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {11},
author = {Sajjad Ali Memon and Faisal Ahmed Dahri and Farzana Rauf Abro and Faisal Karim Shaikh}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.