3D Beamforming for Spectral Coexistence of Satellite and Terrestrial Networks

Satellite communication (SatCom) is facing a spectrum scarcity problem due to the limited available exclusive spectrum and the high demand of the broadband satellite services. In this context, there has been an increasing interest in the satellite community to exploit the non- exclusive Ka-band spectrum in order to enhance the spectral efficiency of future broadband satellite systems. Herein, we propose a novel concept of enabling the spectral coexistence of satellite and terrestrial networks using three dimensional (3D) beamforming, which exploits the elevation dimension in addition to the commonly used azimuth dimension. The proposed beamforming solution is employed in a Multiple-Input Low Noise Block Downconverter (MLNB) based Feed Array Reflector (FAR) in contrast to the widely used Uniform Linear Array (ULA) structure. Within the employed antenna structure, the performance of the proposed beamforming solution is evaluated considering different feed arrangements. Finally, a database-assisted approach and two blind approaches are suggested for the effective implementation of the proposed solutions.

[1]  R. Compton,et al.  On grating nulls in adaptive arrays , 1980 .

[2]  Inkyu Lee,et al.  Three-Dimensional Beamforming: A new enabling technology for 5G wireless networks , 2014, IEEE Signal Processing Magazine.

[3]  Symeon Chatzinotas,et al.  Satellite cognitive communications: Interference modeling and techniques selection , 2012, 2012 6th Advanced Satellite Multimedia Systems Conference (ASMS) and 12th Signal Processing for Space Communications Workshop (SPSC).

[4]  Inkyu Lee,et al.  Downlink Vertical Beamforming Designs for Active Antenna Systems , 2014, IEEE Transactions on Communications.

[5]  Stephan Saur,et al.  3D beamforming: Performance improvement for cellular networks , 2013, Bell Labs Technical Journal.

[6]  Stephen P. Boyd,et al.  Robust minimum variance beamforming , 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

[7]  Symeon Chatzinotas,et al.  In‐line interference mitigation techniques for spectral coexistence of GEO and NGEO satellites , 2016, Int. J. Satell. Commun. Netw..

[8]  Jianhua Zhang,et al.  An attempt to 3D Capon beamforming , 2013, 2013 8th International Conference on Communications and Networking in China (CHINACOM).

[9]  B.D. Van Veen,et al.  Beamforming: a versatile approach to spatial filtering , 1988, IEEE ASSP Magazine.

[10]  Symeon Chatzinotas,et al.  Transmit beamforming for spectral coexistence of satellite and terrestrial networks , 2013, 8th International Conference on Cognitive Radio Oriented Wireless Networks.

[11]  P. McLane,et al.  Adaptive beamforming with a multiple beam antenna , 1998, ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).

[12]  Symeon Chatzinotas,et al.  Cognitive radio scenarios for satellite communications: The CoRaSat approach , 2013, 2013 Future Network & Mobile Summit.

[13]  Symeon Chatzinotas,et al.  Cognitive Radio Techniques for Satellite Communication Systems , 2013, 2013 IEEE 78th Vehicular Technology Conference (VTC Fall).

[14]  Björn E. Ottersten,et al.  Robust Cognitive Beamforming With Bounded Channel Uncertainties , 2009, IEEE Transactions on Signal Processing.

[15]  Symeon Chatzinotas,et al.  Spatial Filtering for Underlay Cognitive SatComs , 2013, PSATS.

[16]  J. Radzik,et al.  Next generation High Throughput Satellite system , 2012, 2012 IEEE First AESS European Conference on Satellite Telecommunications (ESTEL).

[17]  Symeon Chatzinotas,et al.  Joint Carrier Allocation and Beamforming for cognitive SatComs in Ka-band (17.3–18.1 GHz) , 2015, 2015 IEEE International Conference on Communications (ICC).

[18]  Björn E. Ottersten,et al.  Signal Detection and Synchronization for Interference Overloaded Satellite Broadcast Reception , 2010, IEEE Transactions on Wireless Communications.