TY - GEN
T1 - Channel sensing and estimation in cognitive relay networks
AU - Ozcan, Gozde
AU - Gursoy, M. Cenk
PY - 2012
Y1 - 2012
N2 - A cognitive relay system in which a cognitive secondary source seeks to communicate with a secondary destination via an amplify-and-forward (AF) relay is considered. It is assumed that neither primary user activity nor the channel conditions are initially known. Both the source and relay nodes perform channel sensing in order to detect the primary user activity through energy detection. Following the channel sensing, source and relay nodes engage in channel training. Source transmits a pilot symbol which is amplified and forwarded by the relay. Upon the reception of the noisy pilot symbol, the destination employs linear minimum mean-square error (LMMSE) estimation to estimate the overall channel between the source and destination. In this setting, the effect of imperfect channel sensing results at both the source and relay on the performance of the linear MMSE estimation is analyzed. More specifically, the dependence and interactions between channel sensing parameters (e.g., detection thresholds, the probabilities of detection and false alarm) and the LMMSE estimator are studied.
AB - A cognitive relay system in which a cognitive secondary source seeks to communicate with a secondary destination via an amplify-and-forward (AF) relay is considered. It is assumed that neither primary user activity nor the channel conditions are initially known. Both the source and relay nodes perform channel sensing in order to detect the primary user activity through energy detection. Following the channel sensing, source and relay nodes engage in channel training. Source transmits a pilot symbol which is amplified and forwarded by the relay. Upon the reception of the noisy pilot symbol, the destination employs linear minimum mean-square error (LMMSE) estimation to estimate the overall channel between the source and destination. In this setting, the effect of imperfect channel sensing results at both the source and relay on the performance of the linear MMSE estimation is analyzed. More specifically, the dependence and interactions between channel sensing parameters (e.g., detection thresholds, the probabilities of detection and false alarm) and the LMMSE estimator are studied.
KW - Amplify-and-forward relay system
KW - channel sensing
KW - linear minimum mean-square error channel estimation
KW - probability of detection
KW - probability of false alarm
UR - http://www.scopus.com/inward/record.url?scp=84868013972&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84868013972&partnerID=8YFLogxK
U2 - 10.1109/SPAWC.2012.6292871
DO - 10.1109/SPAWC.2012.6292871
M3 - Conference contribution
AN - SCOPUS:84868013972
SN - 9781467309714
T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
SP - 124
EP - 128
BT - 2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012
T2 - 2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012
Y2 - 17 June 2012 through 20 June 2012
ER -