Dynamic spectrum aggregation for future 5G communications

We discuss dynamic spectrum aggregation methods, opportunities, and issues for future 5G communication in cognitive cellular networks. We focus on multicarrier technologies, which have been recognized as capable of flexible utilization of fragmented spectrum opportunities in unlicensed frequency bands, such as enhanced NC-OFDM and NC-FBMC. These techniques can be applied to shape the signal spectrum so that it is concentrated within used frequency bands, and the out-of-band transmitted power and associated interference generated to the incumbent coexisting systems are limited. We present key issues associated with spectrum aggregation that are recognized at the transmitter and the receiver. We also discuss solutions of these issues that can make spectrum aggregation viable for 5G systems.

[1]  Junyi Li,et al.  Network densification: the dominant theme for wireless evolution into 5G , 2014, IEEE Communications Magazine.

[2]  Stefan Parkvall,et al.  Evolution of LTE toward IMT-advanced , 2011, IEEE Communications Magazine.

[3]  Mario Tanda,et al.  Data-aided symbol timing and CFO synchronization for filter bank multicarrier systems , 2009, IEEE Transactions on Wireless Communications.

[4]  Behrouz Farhang-Boroujeny,et al.  OFDM Versus Filter Bank Multicarrier , 2011, IEEE Signal Processing Magazine.

[5]  Markku Renfors,et al.  Pilot-Based Synchronization and Equalization in Filter Bank Multicarrier Communications , 2010, EURASIP J. Adv. Signal Process..

[6]  Martin Fuhrwerk,et al.  About the use of different processing domains for synchronization in non-contiguous FBMC systems , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[7]  Hanna Bogucka,et al.  Spectrally agile multicarrier waveforms for opportunistic wireless access , 2011, IEEE Communications Magazine.

[8]  Benoît Champagne,et al.  Joint Channel and Frequency Offset Estimation for Oversampled Perfect Reconstruction Filter Bank Transceivers , 2014, IEEE Transactions on Communications.

[9]  Hanna Bogucka,et al.  Protection of primary users in dynamically varying radio environment: practical solutions and challenges , 2012, EURASIP J. Wirel. Commun. Netw..

[10]  Pierre Siohan,et al.  Analysis and design of OFDM/OQAM systems based on filterbank theory , 2002, IEEE Trans. Signal Process..

[11]  Mahrokh G. Shayesteh,et al.  Robust Timing and Frequency Synchronization for OFDM Systems , 2011, IEEE Transactions on Vehicular Technology.

[12]  Hanna Bogucka,et al.  Out-of-Band Power Reduction in NC-OFDM with Optimized Cancellation Carriers Selection , 2013, IEEE Communications Letters.

[13]  Alexander M. Wyglinski,et al.  An Efficient Implementation of NC-OFDM Transceivers for Cognitive Radios , 2006, 2006 1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications.

[14]  C.-C. Jay Kuo,et al.  Synchronization Techniques for Orthogonal Frequency Division Multiple Access (OFDMA): A Tutorial Review , 2007, Proceedings of the IEEE.

[15]  Frank Schaich,et al.  Universal-filtered multi-carrier technique for wireless systems beyond LTE , 2013, 2013 IEEE Globecom Workshops (GC Wkshps).