Subspace-based cooperative spectrum sensing for cognitive radio

Rao, Raghavendra; Cheng, Qi; Ray, Priyadip

doi:10.1109/acssc.2008.5074707

Cited by 3 publications

(2 citation statements)

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“…We assume the availability of a set of N channels as a result of periodic spectrum sensing [3] [4]. K SUs with cognitive radio capabilities are randomly deployed in a unit area and are trying to access the vacant channels.…”

Section: Problem Formulationmentioning

confidence: 99%

“…One of the many challenges that we face in realizing such a vision is how to efficiently allocate channels and power for spectrum sharing [2], which is the focus of this paper. The vacant channels detected by SUs in the radio scene analysis stage spread over different frequency ranges [3] [4]. A careful selection of channels is needed along with power allocation on each channel for efficient spectrum sharing.…”

Section: Introductionmentioning

confidence: 99%

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Joint channel and power allocation based on user satisfaction for cognitive radio

Cheng

Kollimarla

2009

2009 43rd Annual Conference on Information Sciences and Systems

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The concept of spectrum sharing has received increasing interest in an attempt to alleviate the spectrum scarcity issue. In this paper, the problem of K pairs of cognitive radios sharing N available channels and its associated problem of optimal power allocation across users and channels are studied. A new metric indicating user satisfaction in both data rate and power consumption is formulated. Joint channel and power allocation algorithms are designed for both orthogonal transmission and interference transmission. These algorithms are then extended for cognitive radios equipped with multiple antennas. Numerical results demonstrate the efficiency of the proposed algorithms. The performance comparison is conducted for orthogonal and interference transmissions under different interference scenarios. The performance gains by allowing interference transmission and by using multiple antennas at transceivers are demonstrated.

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Section: Problem Formulationmentioning

confidence: 99%