@inproceedings{bafbc3cb44d148e6999569074c5744c3,
title = "Analysing self interference cancellation in full duplex radios",
abstract = "Full duplex communication promises a theoretical 100% throughput gain by doubling the number of simultaneous transmissions. Such compelling gains are conditioned on perfect cancellation of the self interference power resulting from simultaneous transmission and reception. Generally, self interference power is modelled as a noise-like constant level interference floor. However, experimental validations have shown that the self interference power is in practice a random variable depending on a number of factors such as the surrounding wireless environment and the degree of interference cancellation. In this study, we derive an analytical model for the residual self interference power, and demonstrate various applications of the derived model in analysing the performance of a Full Duplex radio. In general, full duplex communication is found to provide only modest throughput gains over half duplex communication in a dense network scenario with practical self interference cancellation models.",
keywords = "5G, Full duplex, interference model, self interference model",
author = "Mahmood, {Nurul H.} and Ansari, {Imran S.} and Gilberto Berardinelli and Preben Mogensen and Qaraqe, {Khalid A.}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Wireless Communications and Networking Conference, WCNC 2016 ; Conference date: 03-04-2016 Through 07-04-2016",
year = "2016",
month = sep,
day = "12",
doi = "10.1109/WCNC.2016.7564878",
language = "English",
series = "IEEE Wireless Communications and Networking Conference, WCNC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE Wireless Communications and Networking Conference, WCNC 2016",
address = "United States",
}