Advanced signal processing techniques for fixed and mobile satellite communications

Enabling ultra fast systems has been widely investigated during recent decades. Although polarization has been deployed from the beginning in satellite communications, nowadays it is being exploited to increase the throughput of satellite links. More precisely, the application of diversity techniques to the polarization domain may provide reliable, robust, and fast satellite communications. Better and more flexible spectrum use is also possible if transmission and reception can take place simultaneously in close or even overlapping frequency bands. In this paper we investigate novel signal processing techniques to increase the throughput of satellite communications in fixed and mobile scenarios. First, we investigate four-dimensional (4D) constellations for the forward link. Second, we focus on the mobile scenario and introduce an adaptive algorithm which selects the optimal tuple of modulation order, coding rate, and MIMO scheme that maximizes the throughput constraint to a maximum packet error rate. Finally, we describe the operation of radio transceivers which cancel actively the self-interference posed by the transmit signal when operating in full-duplex mode.

[1]  Pei Liu,et al.  Full duplex cellular systems: will doubling interference prevent doubling capacity? , 2015, IEEE Communications Magazine.

[2]  Mathini Sellathurai,et al.  Space-time coding in mobile Satellite communications using dual-polarized channels , 2006, IEEE Transactions on Vehicular Technology.

[3]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[4]  Bhavani Shankar,et al.  Four-dimensional constellations for dual-polarized satellite communications , 2016, 2016 IEEE International Conference on Communications (ICC).

[5]  John Treichler,et al.  Practical insights on full-duplex personal wireless communications gained from operational experience in the satellite environment , 2015, 2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE).

[6]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[7]  Raymond Knopp,et al.  On scalability, robustness and accuracy of physical layer abstraction for large-scale system-level evaluations of LTE networks , 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

[8]  Xuegong Zhang,et al.  Reading the Underlying Information From Massive Metagenomic Sequencing Data , 2017, Proceedings of the IEEE.

[9]  Nicolò Mazzali,et al.  Constellation design in four dimensions under average power constraint , 2015, 2015 IEEE Symposium on Communications and Vehicular Technology in the Benelux (SCVT).

[10]  A. Robert Calderbank,et al.  Space-Time Codes for High Data Rate Wireless Communications : Performance criterion and Code Construction , 1998, IEEE Trans. Inf. Theory.

[11]  Ana I. Pérez-Neira,et al.  Dual Polarized Modulation and Reception for Next Generation Mobile Satellite Communications , 2015, IEEE Transactions on Communications.

[12]  Alberto Rico-Alvariño,et al.  Balancing closed and open loop CSI in mobile satellite link adaptation , 2014, 2014 7th Advanced Satellite Multimedia Systems Conference and the 13th Signal Processing for Space Communications Workshop (ASMS/SPSC).

[13]  Matthias Pätzold,et al.  Constellation Design for Trellis-Coded Unitary Space–Time Modulation Systems , 2006, IEEE Transactions on Communications.

[14]  Athanasios V. Vasilakos,et al.  Full-Duplex Wireless Communications: Challenges, Solutions, and Future Research Directions , 2016, Proceedings of the IEEE.

[15]  Risto Wichman,et al.  In-Band Full-Duplex Wireless: Challenges and Opportunities , 2013, IEEE Journal on Selected Areas in Communications.

[16]  Steven A. Tretter,et al.  On optimal shaping of multidimensional constellations , 1994, IEEE Trans. Inf. Theory.

[17]  W. Fischer,et al.  Sphere Packings, Lattices and Groups , 1990 .

[18]  Martti Moisio,et al.  Comparison of Effective SINR Mapping with Traditional AVI Approach for Modeling Packet Error Rate in Multi-state Channel , 2006, NEW2AN.

[19]  Thomas L. Marzetta,et al.  Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas , 2010, IEEE Transactions on Wireless Communications.

[20]  Amir K. Khandani,et al.  Shaping multidimensional signal spaces - I: Optimum shaping, shell mapping , 1993, IEEE Trans. Inf. Theory.

[21]  Ana I. Pérez-Neira,et al.  Dual Polarized Modulation and receivers for mobile communications in urban areas , 2015, 2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[22]  Riccardo De Gaudenzi,et al.  MIMO over Satellite: A Review , 2011, IEEE Communications Surveys & Tutorials.

[23]  P. Kabal,et al.  Shaping Multidimensional Signal Spaces-Part I : Optimum Shaping , Shell Mapping , 1998 .

[24]  Raymond Knopp,et al.  Large scale system evaluations using PHY abstraction for LTE with OpenAirInterface , 2013, SimuTools.

[25]  Kiyoshi Kobayashi,et al.  Optimization of Signal Design for Poly-Polarization Multiplexing in Satellite Communications , 2013, IEEE Communications Letters.

[26]  Jin Zhou,et al.  Integrated Wideband Self-Interference Cancellation in the RF Domain for FDD and Full-Duplex Wireless , 2015, IEEE Journal of Solid-State Circuits.

[27]  Sachin Katti,et al.  Full duplex radios , 2013, SIGCOMM.

[28]  Björn E. Ottersten,et al.  Space-Frequency Coding for Dual Polarized Hybrid Mobile Satellite Systems , 2012, IEEE Transactions on Wireless Communications.