Collision detection (CD) is a key capability of carrier sense multiple access (CSMA) based medium access control (MAC) protocol. Applying CD, the transmitter can abort transmission immediately so that the power can be saved. This technique does not need the peer receiver to give feedback on whether there is a packet collision, and hence, the overall overhead is significantly low. The challenge, however, is to operate in transmit time and instantly detect the week colliding signal in the presence of strong self-interference (SI).
DOI Link:
Dataset Files
You must be an IEEE Dataport Subscriber to access these files. Subscribe now or login.
Documentation:
[1] Seyed Ali Hassani, Xianjun Jiao, Ingrid Moerman, Sofie Pollin,
"Instantaneous Signal Collision Detection Using In-Band Full-Duplex: Machine Learning VS Domain-specific Knowledge",
IEEE Dataport,
2020. [Online]. Available: http://dx.doi.org/10.21227/m9dg-pb95. Accessed: Sep. 22, 2023.
@data{m9dg-pb95-20,
doi = {10.21227/m9dg-pb95},
url = {http://dx.doi.org/10.21227/m9dg-pb95},
author = {Seyed Ali Hassani; Xianjun Jiao; Ingrid Moerman; Sofie Pollin },
publisher = {IEEE Dataport},
title = {Instantaneous Signal Collision Detection Using In-Band Full-Duplex: Machine Learning VS Domain-specific Knowledge},
year = {2020} }
doi = {10.21227/m9dg-pb95},
url = {http://dx.doi.org/10.21227/m9dg-pb95},
author = {Seyed Ali Hassani; Xianjun Jiao; Ingrid Moerman; Sofie Pollin },
publisher = {IEEE Dataport},
title = {Instantaneous Signal Collision Detection Using In-Band Full-Duplex: Machine Learning VS Domain-specific Knowledge},
year = {2020} }
TY - DATA
T1 - Instantaneous Signal Collision Detection Using In-Band Full-Duplex: Machine Learning VS Domain-specific Knowledge
AU - Seyed Ali Hassani; Xianjun Jiao; Ingrid Moerman; Sofie Pollin
PY - 2020
PB - IEEE Dataport
UR - 10.21227/m9dg-pb95
ER -
T1 - Instantaneous Signal Collision Detection Using In-Band Full-Duplex: Machine Learning VS Domain-specific Knowledge
AU - Seyed Ali Hassani; Xianjun Jiao; Ingrid Moerman; Sofie Pollin
PY - 2020
PB - IEEE Dataport
UR - 10.21227/m9dg-pb95
ER -
Seyed Ali Hassani, Xianjun Jiao, Ingrid Moerman, Sofie Pollin.
(2020).
Instantaneous Signal Collision Detection Using In-Band Full-Duplex: Machine Learning VS Domain-specific Knowledge.
IEEE Dataport.
http://dx.doi.org/10.21227/m9dg-pb95
Seyed Ali Hassani, Xianjun Jiao, Ingrid Moerman, Sofie Pollin,
2020.
Instantaneous Signal Collision Detection Using In-Band Full-Duplex: Machine Learning VS Domain-specific Knowledge.
Available at:
http://dx.doi.org/10.21227/m9dg-pb95.
Seyed Ali Hassani, Xianjun Jiao, Ingrid Moerman, Sofie Pollin.
(2020).
"Instantaneous Signal Collision Detection Using In-Band Full-Duplex: Machine Learning VS Domain-specific Knowledge."
Web.
1. Seyed Ali Hassani, Xianjun Jiao, Ingrid Moerman, Sofie Pollin.
Instantaneous Signal Collision Detection Using In-Band Full-Duplex: Machine Learning VS Domain-specific Knowledge [Internet].
IEEE Dataport; 2020.
Available from :
http://dx.doi.org/10.21227/m9dg-pb95
Seyed Ali Hassani, Xianjun Jiao, Ingrid Moerman, Sofie Pollin.
"Instantaneous Signal Collision Detection Using In-Band Full-Duplex: Machine Learning VS Domain-specific Knowledge."
doi:
10.21227/m9dg-pb95