Sensing for spectrum sharing in cognitive LTE-A cellular networks

Author

Karunakaran, Prasanth ; Wagner, Thomas ; Scherb, Ansgar ; Gerstacker, W.

Author_Institution

Inst. for Digital Commun., Friedrich-Alexander-Univ. Erlangen-Nurnberg (FAU), Erlangen, Germany

fYear

2014

fDate

6-9 April 2014

Firstpage

565

Lastpage

570

Abstract

In this work we present a case for dynamic spectrum sharing between different operators in systems with carrier aggregation (CA) which is an important feature in 3GPP LTE-A systems. Cross-carrier scheduling and sensing are identified as key enablers for such spectrum sharing in LTE-A. Sensing is classified as Type 1 sensing and Type 2 sensing and the role of each in the system operation is discussed. The more challenging Type 2 sensing which involves sensing the interfering signal in the presence of a desired signal is studied for a single-input singleoutput system. Energy detection and the most powerful test are formulated. The probability of false alarm and of detection are analyzed for energy detectors. Performance evaluations show that reasonable sensing performance can be achieved with the use of channel state information, making such sensing practically viable.

Keywords

Long Term Evolution; cellular radio; probability; radio spectrum management; signal detection; wireless channels; 3GPP LTE-A systems; LTE-A cellular networks; carrier aggregation; channel state information; cross-carrier scheduling identification; cross-carrier sensing identification; dynamic spectrum sharing; false alarm probability; interfering signal; single-input single-output system; type 1 sensing; type 2 sensing; Base stations; Context; Detectors; Interference; Noise; OFDM;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications and Networking Conference (WCNC), 2014 IEEE

Conference_Location

Istanbul

Type

conf

DOI

10.1109/WCNC.2014.6952090

Filename

6952090