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Information: All seminars and talks are presented in English, unless otherwise noted. Therefore, this page is only available in the English language.

Invitation to a Talk by Dr. Giusi Alfano (Politecnico di Torino, Italy)

31 May 2016, 11:00 AM
HFT - Hochfrequenztechnik building, 6th floor, 
Room HFT-TA 617, Einsteinufer 25, 10587 Berlin
Multi-antenna communications in presence of progressive scattering: finite-dimensional analysis and open problems


Foreseen communication paradigms for 5G and beyond wireless cellular systems involve communication channels which, in case the transceivers are equipped with multiple antennas, can be suitably modeled by  products of random matrices (see e.g. [1] and [2]). While sacrificing a more accurate description of the direction of arrival of impinging and departing waves from scattering objects naturally present on the channel, which can be found in [3], the finite-size spectral analysis of the product of Ginibre matrices provides precious tools for the information- and communication-theoretic performance analysis of MIMO systems in presence of the so-called multiple cluster-scattering [4] or progressive scattering [5]. 

Relying on the results of [6], in this talk a two-fold analysis is carried out. First, Harish-Chandra-Itszykon-Zuber integrals are exploited, to provide an expression of the Gallager Random Coding Error Exponent [7, which both upper bounds the Error Probability with optimal decoding at fixed coding length, and provide expressions for the Cut-Off Rate of the considered MIMO channel]. Then, determinantal expressions are provided for the Signal to Interference and Noise Ratio at the output of a suboptimal, multiuser receiver [8,9], in presence of a matrix-valued random interference process which can be represented by the product of Ginibre matrices, too.  

Open issues on random product matrices and possible extensions and particularizations of the presented model are discussed at the end of the talk. 

[1] S. R. Saunders and A. Aragón-Zavala, Antennas and Propagation for Wireless Communication Systems. 2nd Ed., New York: Wiley, 2007.

[2] J. B. Andersen and I. Kovacs, Power distributions revisited, in COST 273 TD (02) 004, Jan. 2002.

[3] R. R. Müller, A random matrix model of communication via antenna arrays, IEEE Trans. Inform. Theory, 2002. 

[4]L.Wei, Z.Zheng, J. Corander, G.  Taricco   On the Outage Capacity of Orthogonal Space-Time Block Codes Over Multi-Cluster Scattering MIMO Channels. IEEE Trans. Comm. 2015

[5] G. Akemann, J. Ipsen, M. Kieburg,  Products of Rectangular Random Matrices: Singular Values and Progressive Scattering,  APS Phys. Rev. E,  2013.

[6] A. Kuijlaars, D. Stivigny, Singular values of products of random matrices and polynomial ensembles, Random Matrices: Theory and Application,  2014

[7] G. Alfano, C.-F. Chiasserini, A. Nordio, S. Zhou, A unifying analysis of error exponents for MIMO channels with application to multiple-scattering, Special Session on Advancement in Performance Analysis of Wireless Systems, ISWCS 2015, Bruxelles.

[8] G. Alfano, C.-F. Chiasserini, A. Nordio, Achievable Sum Rate of Linear MIMO Receivers with Multiple Rayleigh Scattering, WSA 2016, Munich, March 9-11, 2016. 

[9] G. Alfano, C.-F. Chiasserini, A. Nordio,  SNR gap between MIMO linear receivers: characterization and applications, ISIT 2016, Barcelona, July 10-15, 2016.  


Giusi Alfano received the PhD in Information Engineering from University of Benevento in 2007. Since 2008 she is with Politecnico di Torino as a postdoc researcher. Her research interest lies mainly in the application of random matrix theory to wireless networked systems performance analysis and optimization. In 2011, she was an Ercim postdoc at NTNU, Norway. In 2012, she was a junior researcher at National Research Council (CNR) IEIIT, Torino. She actively collaborates with the Chair of Communication Theory, TU Dresden, and with the ERC Chair on Non Commutative Distributions in Free Probability, Saarlandes University.

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