An innovative interference mitigation approach for high throughput satellite systems

This paper investigates how to boost the forward link capacity in multibeam satellite systems. Since co-channel interference is the main inhibitor to achieve the full potential of frequency reuse, we propose to mitigate the negative impact of interference through cooperative transmission schemes. When desired information is shared among two beams, rates can be assigned to each user independently. This is crucial to benefit from the use of adaptive coding and modulation. In addition, the receiver can resort to multi-user detection, which is proven to give satisfactory performance when several signals are simultaneously received. Numerical results reveal that the proposed cooperative strategy brings substantial improvements, in terms of spectral efficiency, with respect to multibeam satellite systems, where receivers treat the interference as noise and data content is plainly delivered through the corresponding beam.

[1]  Giuseppe Cocco,et al.  Co-channel interference cancellation at the user terminal in multibeam satellite systems , 2014, 2014 7th Advanced Satellite Multimedia Systems Conference and the 13th Signal Processing for Space Communications Workshop (ASMS/SPSC).

[2]  Dario Fertonani,et al.  SISO Detection Over Linear Channels With Linear Complexity in the Number of Interferers , 2011, IEEE Journal of Selected Topics in Signal Processing.

[3]  H. Vincent Poor,et al.  Iterative (turbo) soft interference cancellation and decoding for coded CDMA , 1999, IEEE Trans. Commun..

[4]  Helmut Bölcskei,et al.  Soft–Input Soft–Output Single Tree-Search Sphere Decoding , 2009, IEEE Transactions on Information Theory.

[5]  Michael L. Moher Multiuser decoding for multibeam systems , 2000, IEEE Trans. Veh. Technol..

[6]  Suhas N. Diggavi,et al.  The worst additive noise under a covariance constraint , 2001, IEEE Trans. Inf. Theory.

[7]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[8]  Jungwon Lee,et al.  Advanced interference management for 5G cellular networks , 2014, IEEE Communications Magazine.

[9]  Wei Zeng,et al.  Simulation-Based Computation of Information Rates for Channels With Memory , 2006, IEEE Transactions on Information Theory.