TY - GEN
T1 - Hierarchical spectrum sharing using interference tweets
AU - Dall'Anese, Emiliano
AU - Marques, Antonio G.
AU - Giannakis, Georgios B
PY - 2013/10/22
Y1 - 2013/10/22
N2 - Spectrum sensing schemes focus on detecting active transmitters, but not incumbent passive receivers, which have nevertheless to be protected from excessive interference. The present paper advocates the notion of receiver map as a tool for unveiling areas where licensed receivers are likely to reside, and for limiting the interference accordingly. Receiver maps are tracked using a Bayesian approach, based on a one-bit message - here referred to as 'interference tweet' - broadcasted by the primary receiver whenever a communication disruption occurs due to interference. The resultant maps are utilized in a cross-layer resource allocation scheme, which is designed to optimize the performance of an underlay multi-hop cognitive radio network under long-term probability of interference constraints. Although non-convex, the problem exhibits zero duality gap, and it is optimally solved using a Lagrangian dual approach.
AB - Spectrum sensing schemes focus on detecting active transmitters, but not incumbent passive receivers, which have nevertheless to be protected from excessive interference. The present paper advocates the notion of receiver map as a tool for unveiling areas where licensed receivers are likely to reside, and for limiting the interference accordingly. Receiver maps are tracked using a Bayesian approach, based on a one-bit message - here referred to as 'interference tweet' - broadcasted by the primary receiver whenever a communication disruption occurs due to interference. The resultant maps are utilized in a cross-layer resource allocation scheme, which is designed to optimize the performance of an underlay multi-hop cognitive radio network under long-term probability of interference constraints. Although non-convex, the problem exhibits zero duality gap, and it is optimally solved using a Lagrangian dual approach.
KW - Cognitive radios
KW - cross-layer design
KW - receiver localization
KW - recursive Bayesian estimation
UR - http://www.scopus.com/inward/record.url?scp=84885804369&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84885804369&partnerID=8YFLogxK
U2 - 10.1109/SPAWC.2013.6612028
DO - 10.1109/SPAWC.2013.6612028
M3 - Conference contribution
AN - SCOPUS:84885804369
SN - 9781467355773
T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
SP - 140
EP - 144
BT - 2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013
T2 - 2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013
Y2 - 16 June 2013 through 19 June 2013
ER -