TY - GEN
T1 - Multi-scale spectrum sensing in millimeter wave cognitive networks
AU - Michelusi, Nicolo
AU - Nokleby, Matthew
AU - Mitra, Urbashi
AU - Calderbank, Robert
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - In this paper, a multi-scale approach to spectrum sensing and information exchange in millimeter wave cognitive cellular networks is proposed. In order to overcome the huge energy cost of acquiring full network state information on the occupancy of each cell over the network, secondary users acquire local state estimates, which are aggregated up the hierarchy to produce multi-scale estimates of spectrum occupancy. The proposed design accounts for local estimation errors and the irregular interference patterns arising due to sensitivity to blockages, high attenuation, and high directionality at millimeter wave. A greedy algorithm based on agglomerative clustering is proposed to design an interference-based tree (IBT), matched to the interference pattern of the network. The proposed aggregation algorithm over IBT is shown to be much more cost efficient than acquiring full network state information from the neighboring cells, requiring as little as 1/5th of the energy cost.
AB - In this paper, a multi-scale approach to spectrum sensing and information exchange in millimeter wave cognitive cellular networks is proposed. In order to overcome the huge energy cost of acquiring full network state information on the occupancy of each cell over the network, secondary users acquire local state estimates, which are aggregated up the hierarchy to produce multi-scale estimates of spectrum occupancy. The proposed design accounts for local estimation errors and the irregular interference patterns arising due to sensitivity to blockages, high attenuation, and high directionality at millimeter wave. A greedy algorithm based on agglomerative clustering is proposed to design an interference-based tree (IBT), matched to the interference pattern of the network. The proposed aggregation algorithm over IBT is shown to be much more cost efficient than acquiring full network state information from the neighboring cells, requiring as little as 1/5th of the energy cost.
UR - http://www.scopus.com/inward/record.url?scp=85050985274&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050985274&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2017.8335637
DO - 10.1109/ACSSC.2017.8335637
M3 - Conference contribution
AN - SCOPUS:85050985274
T3 - Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
SP - 1640
EP - 1644
BT - Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
A2 - Matthews, Michael B.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
Y2 - 29 October 2017 through 1 November 2017
ER -