DocumentCode :
132666
Title :
Parallel In-band signal detection with self-interference suppression for cognitive LTE
Author :
Cao, Haichuan ; Wei Jiang ; Kaiser, Thomas
Author_Institution :
Inst. of Digital Signal Process. (DSV), Univ. Duisburg-Essen, Duisburg, Germany
fYear :
2014
fDate :
6-9 April 2014
Firstpage :
64
Lastpage :
69
Abstract :
Recently, there has been an increasing interest in enhancing the mainstream cellular technology Long Term Evolution Advanced (LTE-A) with cognitive radio as one of the key enablers towards the fifth generation (5G) wireless communications. For dynamically accessing wider range of spectrum bands in a friendly manner, the cognitive LTE system should be able to discover the possible coexisting heterogeneous wireless systems in different bands. To this end, we propose a novel parallel in-band sensing scheme with effective self-interference suppression (SIS) in time and frequency domains, which doesn´t require any modification to the existing standard specification or unrealistic a priori knowledge or extra hardware components. Preliminary simulation results show that over 10dB gain in signal-to-noise ratio (SNR) is achieved in detecting DVB-T signal submerged into very strong LTE self-interference.
Keywords :
4G mobile communication; Long Term Evolution; cognitive radio; digital video broadcasting; frequency-domain analysis; interference suppression; radio spectrum management; signal detection; time-domain analysis; 5G wireless communications; DVB-T signal; LTE-A; Long Term Evolution Advanced; cognitive LTE system; cognitive radio; fifth generation wireless communications; frequency domains; heterogeneous wireless systems; mainstream cellular technology; parallel in-band sensing scheme; parallel in-band signal detection; self-interference suppression; time domains; Digital video broadcasting; Feature extraction; Interference; Long Term Evolution; Sensors; Signal to noise ratio; 5G; DVB-T; LTE-A; cognitive radio; in-band sensing; interference suppression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference Workshops (WCNCW), 2014 IEEE
Conference_Location :
Istanbul
Type :
conf
DOI :
10.1109/WCNCW.2014.6934862
Filename :
6934862
Link To Document :
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