TY - GEN
T1 - Cost constrained spectrum sensing in cognitive radio networks
AU - Xiong, Gang
AU - Kishore, Shalinee
AU - Yener, Aylin
PY - 2010
Y1 - 2010
N2 - This paper addresses optimal spectrum sensing in cognitive radio networks considering its system level cost that accounts for the local processing cost of sensing (sample collection and energy calculation at each secondary user) as well as the transmission cost (forwarding energy statistic from secondary users to fusion center). The optimization problem solves for the appropriate number of samples to be collected and amplifier gains at each secondary user to minimize the global error probability subject to a total cost constraint. In particular, closed-form expressions for optimal solutions are derived and a generalized water-filling algorithm is proposed when number of samples or amplifier gains are fixed and additional constraints are imposed. Furthermore, when jointly designing the number of samples and amplifier gains, optimal solution indicates that only one secondary user needs to be active, i.e., collecting samples for local energy calculation and transmitting energy statistic to fusion center.
AB - This paper addresses optimal spectrum sensing in cognitive radio networks considering its system level cost that accounts for the local processing cost of sensing (sample collection and energy calculation at each secondary user) as well as the transmission cost (forwarding energy statistic from secondary users to fusion center). The optimization problem solves for the appropriate number of samples to be collected and amplifier gains at each secondary user to minimize the global error probability subject to a total cost constraint. In particular, closed-form expressions for optimal solutions are derived and a generalized water-filling algorithm is proposed when number of samples or amplifier gains are fixed and additional constraints are imposed. Furthermore, when jointly designing the number of samples and amplifier gains, optimal solution indicates that only one secondary user needs to be active, i.e., collecting samples for local energy calculation and transmitting energy statistic to fusion center.
UR - http://www.scopus.com/inward/record.url?scp=77953726280&partnerID=8YFLogxK
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U2 - 10.1109/CISS.2010.5464978
DO - 10.1109/CISS.2010.5464978
M3 - Conference contribution
AN - SCOPUS:77953726280
SN - 9781424474172
T3 - 2010 44th Annual Conference on Information Sciences and Systems, CISS 2010
BT - 2010 44th Annual Conference on Information Sciences and Systems, CISS 2010
T2 - 44th Annual Conference on Information Sciences and Systems, CISS 2010
Y2 - 17 March 2010 through 19 March 2010
ER -