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Báo cáo hóa học: " Editorial Advanced Signal Processing for Cognitive Radio Networks"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Editorial Advanced Signal Processing for Cognitive Radio Networks | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 715987 2 pages doi 10.1155 2010 715987 Editorial Advanced Signal Processing for Cognitive Radio Networks Ying-Chang Liang 1 Xiaodong Wang 2 Yonghong Zeng 1 Jinho Choi 3 Rui Zhang 1 and Marco Luise4 1 Institute for Infocomm Research A STAR Singapore 138632 2 Department of Electrical Engineering Columbia University New York NY 10027 USA 3 School of Engineering Swansea University Singleton Park Swansea SA2 8PP UK 4Dipartimento di Ingegneria dell Informazione Università degli Studi di Pisa 56100 Pisa Italy Correspondence should be addressed to Ying-Chang Liang ycliang@i2r.a-star.edu.sg Received 20 December 2009 Accepted 20 December 2009 Copyright 2010 Ying-Chang Liang et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Cognitive radio is the enabling technology for dynamic spectrum access which may potentially mitigate the radio spectrum scarcity problem encountered in many countries. Thus cognitive radio is widely regarded as one of the most promising technologies for the future wireless communications. For instance the Federal Communications Commission FCC of the US approved in November 2008 the use of mobile devices in unused TV bands TV white spaces and many governments worldwide have also moved to support this new spectrum sharing model. This has been recently accompanied by a significant upsurge in academic research and application initiatives especially in unlocking the potential in the white space of TV bands for various broadband wireless services. However cognitive wireless networking is still in the early stages of research and development. To achieve fully cognitive transmission over a wireless network there are still tremendous technical economical and regulatory challenges. Signal processing